Mycodo Manual
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Mycodo Manual Table of Contents About Mycodo Brief Overview Frequently Asked Questions Upgrading Features • • • • • • Data Output Function Timers LCDs Methods PID Tuning • • • • PID Control Theory Quick Setup Examples Exact-Temperature Regulation High-Temperature Regulation Configuration Settings • • • • • • General Settings Output Usage Settings Users User Roles Alert Settings Camera Settings Miscellaneous • • • • • • • • Dashboard Live Measurements Asynchronous Graphs Export-Import Camera Output Usage Backup-Restore System Information Troubleshooting • Daemon Not Running • More Device Interfaces • • • • • • 1-Wire GPIO UART I2C Edge Detection I2C Multiplexers Device Specific Information LCD Displays Temperature Sensors • • • • Raspberry Pi Atlas Scientific PT-1000 DS18B20 TMP006, TMP007 Temperature, Humidity Sensors • AM2315 • DHT11 • • • • DHT22, AM2302 HTU21D SHT1x SHT7x CO2 Sensors • K-30 • MH-Z19 Moisture Sensors • Chirp pH Sensors • Atlas Scientific pH Pressure Sensors • BME280 • BMP085, BMP180 Luminosity Sensors • BH1750 • TSL2561 Analog to Digital Converters • ADS1x15 • MCP342x Diagrams • DHT11 Diagrams • DS18B20 Diagrams • Raspberry Pi and Relay Diagrams About Mycodo Mycodo is an automated monitoring and regulation system that was built to run on the []Raspberry Pi](https://en.wikipedia.org/wiki/Rasp (versions Zero, 1, 2, and 3). Orignially designed to cultivate edible mushrooms, Mycodo has grown to include the ability to do much more, including cultivating plants, culturing microorganisms, maintaining honey bee apiary homeostasis, incubating animals and eggs, maintaining aquatic systems, aging cheeses, fermenting foods and tobacco, cooking food (vous-vide), and more. The system comprises a backend (daemon) and a frontend (user interface). The backend conducts measurements from sensors and devices, then coordinate a diverse set of responses to those measurements, including the ability to modulate outputs (relays, PWM, wireless outlets), regulate environmental conditions with electrical devices under PID control (steady regulation or changing over time), schedule timers, capture photos and stream video, trigger actions when measurements meet certain conditions (modulate relays, execute commands, notify by email, etc.), and more. The frontend is a web interface that enables easy navigation and configuration from any browser-enabled device. Brief Overview There are a number of different uses for Mycodo. Some users simply store sensor measurements to monitor conditons remotely from their phone, others regulate the environmental conditions of a physical space, while others capture motion-activated or timelapse photography, and more. Input controllers acquire measurements and store them in a time series database. Measurements typically come from sensors, but may also be configured to use the return value of a linux command, making integrating new inputs very easy. Output controllers produce changes to the general input/output (GPIO) pins or may be configured to execute linux commands in order to allow an unlimited number of potential uses. There are a few different types of outputs: simple switching of pins (HIGH/LOW), generating pulse-width modulated (PWM) signals, switching 433 MHz wireless relays, and linux command execution. The most common setup is using a relay to switch electrical devices on and off. When Inputs and Outputs are combined, PID controllers may be used to create a feedback loop that uses the Output device to modulate an environmental condition the Input detects. Certain Inputs may be coupled with certain Outputs to create a variety of different control and regulation applications. Beyond simple regulation, Methods may be used to create changing setpoints over time, enabling such things as thermal cyclers, reflow ovens, environmental simulation for terrariums, food and beverage fermentation or curing, and cooking food (sous-vide), to name a few. Timers can be set to trigger events based on specific dates and times or according to durations of time. Timers are fairly basic, but can be configured in very complex ways. Don’t underestimate a good timer. Frequently Asked Questions How do I set up simple regulation? Here is how I generally set up Mycodo to monitor and regulate: 1. Determine what environmental condition you want to measure or regulate. Consider the devices that must be coupled to achieve this. For instance, temperature regulation require a temperature sensor as the input and an electric heater as the output. 2. Determine what relays you will need to power your electric devices. The Raspberry Pi is capable of directly switching relays (using a 3.3-volt signal), although opto-isolating the circuit is advisable. Be careful when selecting a relay not to exceed the current draw of the Raspberry Pi’s GPIO pins. 3. See the Device Specific Information for information about what sensors are supported. Acquire one or more of these sensors and relays and connect them to the Raspberry Pi according to the manufacturer’s instructions. 4. On the Data page, create a new input using the dropdown to select the correct sensor or input device. Configure the input with the correct communication pins and other options. Activate the input to begin recording measurements to the database.. 5. Go to the Info -> Live Measurements page to ensure there is recent data being acquired from the input. 6. On the Ouput page, add a relay and configure the GPIO pin that switches it, whether the relay switches On when the signal is HIGH or LOW, and what state (On or Off) to set the relay when Mycodo starts. A pulse-width modulated (PWM) output may also be used.. 7. Test the relay by switching it On and Off or generating a PWM signal from the Output page and make sure the device connected to the relay turns On when you select “On”, and Off when you select “Off”. 8. On the Function page, create a PID controller with the appropriate input, output, and other parameters. 9. On the Info -> Live Graphs page, create a graph that includes the input measurement, the output that is being used by the PID, and the PID setpoint. This provides a good visualization for tuning the PID. See Quick Setup Examples for a greater detail of this process and tuning tips. How do I add an Input (like a sensor) to the system that’s not currently supported? Currently, adding an Input device that’s not currently supported can be achieved by two different methods: The first involves editing several files. There has been effort to make the addition process as simple as possible. See the Adding Support for a New Input Wiki page for how to do this. All changes will be lost during an upgrade, therefore it is suggested to make a GitHub pull request with your changes to permanently integrate them into Mycodo. The second way to add an Input is to create a script that obtains and returns a numerical value when executed in the linux system of the Raspberry Pi. This script may be configured to be executed by a “Linux Command” Input type. This will periodically execute the command and store the returned value to the database for use with the rest of the Mycodo system. Can I variably-control the speed of motors or other devices with the PWM output signal from the PID? Yes, as long as you have the proper hardware to do that. The PWM signal being produced by the PID should be handled appropriately, whether by a fast-switching solid state relay, an AC modulation circuit, DC modulation circuit, or something else. What should I do if I have an issue? First, read though this manual to make sure you understand how the system works and you’re using the system properly. Also check out the Mycodo Wiki. You may even want to look through recent GitHub Issues. If you haven’t resolved your issue by this point, make a New GitHub Issue describing the issue and attaching a sufficient amount of evidence (screenshots, log files, etc.) to aid in diagnosing the issue. Upgrading If you already have Mycodo installed (version >= 4.0.0), you can perform an upgrade to the latest Mycodo Release by either using the Upgrade option in the web interface (recommended) or by issuing the following command in a terminal. A log of the upgrade process is created at /var/log/mycodo/mycodoupgrade.log sudo /bin/bash ~/Mycodo/mycodo/scripts/upgrade_commands.sh upgrade Features The following sections describe the essential modules of Mycodo that can be used to perform functions or communicate with other parts of Mycodo. Each section performs specific tasks or groups of related tasks. Data Data includes controllers that produce and store data in the measurement database. Input controllers generally acquire measurements from sensors, but they may also come from executed commands. Math controllers, on the other hand, perform math on already-stored values to create new values that are stored. Input Inputs (such as sensors or analog signals) measure environmental conditions, which will be stored in a time-series database (InfluxDB). This database will provide measurements for Graphs, LCDs, PID Controllers, Conditional Statements, and other parts of Mycodo to operate from. In addition to several supported sensors and devices, a Linux command may be specified that will be executed and the return value stored in the measurement database to be used throughout the Mycodo system. Setting Description Activate After the sensor has been properly configured, activation begins acquiring measurements from the sensor. Any activated conditional statements will now being operating. Deactivation stops measurements from being acquired from the sensor. All associated conditional statements will cease to operate. Save the current configuration entered into the input boxes for a particular sensor. Delete a particular sensor. Move a particular sensor up or down in the order displayed. Select a output that powers the sensor. This enables powering cycling (turn off then on) when the sensor returns 3 consecutive errors to attempt to fix the issue. Transistors may also be used instead of a relay (note: NPN transistors are preferred over PNP for powering sensors). Depending on what sensor is being used, you will need to either select a serial number (DS18B20 temperature sensor), a GPIO pin (in the case of sensors read by a GPIO), or an I2C address. and channel if using the TCA9548A I2C multiplexer. The bus to be used to communicate with the I2C address. If you’re using an I2C multiplexer that provides multiple buses, this allows you to select which bus the sensor is connected to. After the sensor is successfully read and a database entry is made, this is the duration of time waited until the sensor is measured again. If you require a output to be activated before a measurement is made (for instance, if you have a pump that extracts air to a chamber where the sensor resides), this is the output number that will be activated. The output will be activated for a duration defined by the Pre Duration, then once the output turns off, a measurement by the sensor is made. This is the duration of time that the Pre Output runs for before the sensor measurement is obtained. A linux command (executed as the user ‘mycodo’) that the return value becomes the measurement The measured condition (e.g. temperature, humidity, etc.) from the linux command The units of the measurement condition from the linux command Edge sensors only: Select whether the Rising or Falling (or both) edges of a changing voltage are detected. A number of devices to do this when in-line with a circuit supplying a 3.3-volt input signal to a GPIO, such as simple mechanical switch, a button, a magnet (reed/hall) sensor, a PIR motion detector, and more. Deactivate Save Delete Up/Down Power Output Location I2C Bus Period Pre Output Pre Output Duration Command Command Measurement Command Units Edge Bounce Time (ms) Reset Period Edge sensors only: This is the number of milliseconds to bounce the input signal. This is commonly called debouncing a signal. and may be necessary if using a mechanical circuit. Edge sensors only: This is the period of time after an edge detection that another edge will not be recorded. This enables devices such as PIR motion sensors that may stay activated for longer periods of time. Setting Description Multiplexer (MX) If connected to the TCA9548A I2C multiplexer, select what the I2C address of the multiplexer is. If connected to the TCA9548A I2C multiplexer, select the I2C bus the multiplexer is connected to. If connected to the TCA9548A I2C multiplexer, select the channel of the multiplexer the device is connected to. Analog-to-digital converter only: The type of measurement being acquired by the ADC. For instance, if the resistance of a photocell is being measured through a voltage divider, this measurement would be “light”. Analog-to-digital converter only: This is the unit of the measurement. With the above example of “light” as the measurement, the unit may be “lux” or “intensity”. Analog-to-digital converter only: This is the channel to obtain the voltage measurement from the ADC. Analog-to-digital converter only: set the gain when acquiring the measurement. Analog-to-digital converter only: What is the minimum voltage to use when scaling to produce the unit value for the database. For instance, if your ADC is not expected to measure below 0.2 volts for your particular circuit, set this to “0.2”. Analog-to-digital converter only: This is similar to the Min option above, however it is setting the ceiling to the voltage range. Units Min Analog-to-digital converter only: This value will be the lower value of a range that will use the Min and Max Voltages, above, to produce a unit output. For instance, if your voltage range is 0.0 - 1.0 volts, and the unit range is 1 - 60, and a voltage of 0.5 is measured, in addition to 0.5 being stored in the database, 30 will be stored as well. This enables creating calibrated scales to use with your particular circuit. Analog-to-digital converter only: This is similar to the Min option above, however it is setting the ceiling to the unit range. The This is a number between 0 and 1 and indicates how much the old reading affects the new reading. It defaults to 0 which means the old reading has no effect. This may be used to smooth the data. The number of pulses for a complete revolution. Mx I2C Bus Mx Channel Measurement Units Channel Gain Volts Min Volts Max Units Max Weighting Pulses Per Rev Math Math controllers allow one or more Inputs to have math applied to produce a new value that may be used within Mycodo. Type Description Average Median Maximum Minimum Humidity Stores the statistical mean of the selected Inputs Stores the statistical median from the selected Inputs Stores the largest measurement from the selected Inputs Stores the smallest measurement from the selected Inputs Calculates and stores the percent relative humidity from the dry-bulb and wet-bulb temperatures, and optional pressure Ensures the greatest difference between any selected Inputs is less than Max Difference, and if so, stores the average of the selected Inputs Verification Setting Description Input Period (seconds) Max Age (seconds) Select the Inputs to use with the particular Math controller The duration of time between calculating and storing a new value The maximum allowed age of the Input measurements. If an Input measurement is older than this period, the calculation is cancelled and the new value is not stored in the database. Consequently, if another controller has a Max Age set and cannot retrieve a current Math value, it will cease functioning. A PID controller, for instance, may stop regulating if there is no new Math value created, preventing the PID controller from continuing to run when it should not. This is the condition being measured. For instance, if all of the selected measurements are temperature, this should also be temperature. A list of the pre-defined measurements that may be used is below. This is the units to display along with the measurement, on Graphs. If a pre-defined measurement is used, this field will default to the units associated with that measurement. Measurement Units Setting Description Max Difference If the difference between any selected Input is greater than this value, no new value will be stored in the database. The measurement that will serve as the dry-bulb temperature (this is the warmer of the two temperature measurements) The measurement that will serve as the wet-bulb temperature (this is the colder of the two temperature measurements) This is an optional pressure measurement that can be used to calculate the percent relative humidity. If disabled, a default 101325 Pa will be used in the calculation. Dry-Bulb Temperature Wet-Bulb Temperature Pressure Pre-defined Measurements If a pre-defined measurement is used, the newly-generated value will use that default y-axes on a Graph. For instance, if two temperature measurements are selected for averaging, and Measurement is set to ‘temperature’ (lowercase ‘t’), the new average value will use the same y-axis as the other temperatures. Measurement Units altitude co2 cpu_load_1m cpu_load_5m cpu_load_15m dewpoint disk_space duration_sec duty_cycle edge frequency humidity humidity_ratio lux moisture ph pid_output pressure pulse_width rpm setpoint specific_enthalpy specific_volume temperature temperature_die temperature_object voltage m ppmv 1 min 5 min 15 min °C MB sec % edge Hz % kg/kg lx moisture pH sec Pa µs rpm None kJ/kg m3/kg °C °C °C volts Output Outputs are various signals that can be generated that operate devices. An output can be a PWM signal, a simple HIGH/LOW signal to operate a relay, or a 433MHz signal to switch a radio frequency-operated relay, or an execution of a command on the linux system Mycodo runs on. PWM Pulse-width modulation (PWM) is a modulation technique used to encode a message into a pulsing signal, at a specific frequency in Hertz (Hz). The average value of voltage (and current) fed to the load is controlled by turning the switch between supply and load on and off at a fast rate. The longer the switch is on compared to the off periods, the higher the total power supplied to the load. The PWM switching frequency has to be much higher than what would affect the load (the device that uses the power), which is to say that the resultant waveform perceived by the load must be as smooth as possible. The rate (or frequency) at which the power supply must switch can vary greatly depending on load and application, for example Switching has to be done several times a minute in an electric stove; 120 Hz in a lamp dimmer; between a few kilohertz (kHz) to tens of kHz for a motor drive; and well into the tens or hundreds of kHz in audio amplifiers and computer power supplies. The term duty cycle describes the proportion of ‘on’ time to the regular interval or ‘period’ of time; a low duty cycle corresponds to low power, because the power is off for most of the time. Duty cycle is expressed in percent, 100% being fully on. PWM pins can be set up on the Output page, then it may be used by a PWM PID Controller. Setting Description Library Select the method for producing the PWM signal. Hardware pins can produce up to a 30 MHz PWM signal, while any other (non-hardware PWM) pin can produce up to a 40 kHz PWM signal. See the table, below, for the hardware pins on various Pi boards. This is the GPIO that will output the PWM signal, using BCM numbering. This is frequency of the PWM signal. This is the proportion of the time on to the time off, expressed in percent (0 100). This is the current draw, in amps, when the duty cycle is 100%. Note: this value should be calculated based on the voltage set in the Output Usage Settings. BCM Pin Hertz Duty Cycle Current Draw (amps) Non-hardware PWM Pins When using non-hardware PWM pins, there are only certain frequencies that can be used. These frequencies in Hertz are 40000, 20000, 10000, 8000, 5000, 4000, 2500, 2000, 1600, 1250, 1000, 800, 500, 400, 250, 200, 100, and 50 Hz. If you attempt to set a frequency that is not listed here, the nearest frequency from this list will be used. Hardware PWM Pins The exact frequency may be set when using hardware PWM pins. The same PWM channel is available on multiple GPIO. The latest frequency and duty cycle setting will be used by all GPIO pins which share a PWM channel. BCM Pin PWM Channel Raspberry Pi Version 12 13 18 19 40 41 45 52 53 0 1 0 1 0 1 1 0 1 All models except A and B All models except A and B All models All models except A and B Compute module only Compute module only Compute module only Compute module only Compute module only Schematics for DC Fan Control Below are hardware schematics that enable controlling direct current (DC) fans from the PWM output from Mycodo. PWM output controlling a 12-volt DC fan (such as a PC fan) Schematics for AC Modulation Below are hardware schematics that enable the modulation of alternating current (AC) from the PWM output from Mycodo. PWM output modulating alternating current (AC) at 1% duty cycle PWM output modulating alternating current (AC) at 50% duty cycle PWM output modulating alternating current (AC) at 99% duty cycle Relays Relays are electromechanical or solid-state devices that enable a small voltage signal (such as from a microprocessor) to activate a much larger voltage, without exposing the low-voltage system to the dangers of the higher voltage. Add and configure outputs in the Output tab. Outputs must be properly set up before PID regulation can be achieved. Wired To set up a wired relay, set the “GPIO Pin” to the BCM GPIO number of each pin that activates each relay. On Trigger should be set to the signal that activates the relay (the device attached to the relay turns on). If your relay activates when the potential across the coil is 0-volts, set On Trigger to “Low”, otherwise if your relay activates when the potential across the coil is 3.3-volts (or whatever switching voltage you are using, if not being driven by the GPIO pin), set it to “High”. Wireless Certain 433 MHz wireless relays may be used, however you will need to set the pin of the transmitter (using WiringPi numbering), pulse length, bit length, protocol, on command, and off command. To determine your on and off commands, connect a 433 MHz receiver to your Pi, then run the receiver script, below, and press one of the buttons (either on or off) on your remote to detect the numeric code associated with that button. sudo ~/Mycodo/env/bin/python ~/Mycodo/mycodo/devices/wireless_433mhz_pi_switch.py 433 MHz wireless relays have been successfully tested with SMAKN 433MHz RF Transmitters/Receivers and Etekcity Wireless Remote Control Electrical Outlets (see Issue 88 for more information). If you have a 433 MHz transmitter/receiver and a wireless relay that does not work with the current code (even after trying several different protocol settings), submit a new issue with details of your hardware. Command Another option for output control is to execute a terminal command when the output is turned on or off. Commands will be executed as the user ‘mycodo’. Wireless and Command Output Note: Since the wireless protocol only allows 1-way communication to 433 MHz devices, wireless relays are assumed to be off until they are turned on, and therefore will appear red (off) when added. If a wireless relay is turned off or on outside Mycodo (by a remote, for instance), Mycodo will not be able to determine the state of the relay and will indicate whichever state the relay was last. This is, if Mycodo turns the wireless relay on, and a remote is used to turn the relay off, Mycodo will still assume the relay is on. Setting Description BCM Pin On Trigger This is the GPIO that will be the signal to the output, using BCM numbering. This is the state of the GPIO to signal the output to turn the device on. HIGH will send a 3.3-volt signal and LOW will send a 0-volt signal. If you output completes the circuit (and the device powers on) when a 3.3-volt signal is sent, then set this to HIGH. If the device powers when a 0-volt signal is sent, set this to LOW. This is the GPIO that will be the signal to the output, using WiringPi numbering. This is the protocol to use to transmit via 433MHz. Default is 1, but if this doesn’t work, increment the number. This is the pulse length to transmit via 433MHz. Default is 189 ms. This is the bit length to transmit via 433MHz. Default is 24-bit. This is the command used to turn the output on. For wireless relays, this is the numerical command to be transmitted, and for command outputs this is the command to be executed. This is the command used to turn the output off. For wireless relays, this is the numerical command to be transmitted, and for command outputs this is the command to be executed. The is the amount of current the device powered by the output draws. Note: this value should be calculated based on the voltage set in the Output Usage Settings. This specifies whether the output should be ON or OFF when mycodo initially starts. Wireless relays have an additional option ‘Neither’ which will not issue an on or off command when Mycodo starts or stops. This is a way to turn a output on for a specific duration of time. This can be useful for testing the outputs and powered devices or the measured effects a device may have on an environmental condition. WiringPi Pin Protocol Pulse Length Bit Length On Command Off Command Current Draw (amps) Start State Seconds to turn On Function Functions couple Inputs with Outputs to perform specific tasks. For example, this could be regulation of temperature with a temperature sensor and heater with a PID Controller. PID Controller A proportional-derivative-integral (PID) controller is a control loop feedback mechanism used throughout industry for controlling systems. It efficiently brings a measurable condition, such as the temperature, to a desired state and maintains it there with little overshoot and oscillation. A well-tuned PID controller will raise to the setpoint quickly, have minimal overshoot, and maintain the setpoint with little oscillation. PID settings may be changed while the PID is activated and the new settings will take effect immediately. If settings are changed while the controller is paused, the values will be used once the controller resumes operation. Setting Description Activate/Deactivate Pause Turn a particular PID controller on or off. When paused, the PID will not turn on the associated outputs, and settings can be changed without losing current PID output values. When held, the PID will turn on the associated outputs, and settings can be changed without losing current PID output values. Resume a PID controller from being held or paused. This is the specific point you would like the environment to be regaulted at. For example, if you would like the humidity regulated to 60%, enter 60. This is the direction that you wish to regulate. For example, if you only require the temperature to be raised, set this to “Up,” but if you require regulation up and down, set this to “Both.” This is the duration between when the PID acquires a measurement, the PID is updated, and the output is modulated. Hold Resume Setpoint Direction Period Setting Description Max Age The time (in seconds) that the sensor measurement age is required to be less than. If the measurement is not younger than this age, the measurement is thrown out and the PID will not actuate the output. This is a safety measure to ensure the PID is only using recent measurements. This is the output that will cause the particular environmental condition to rise. In the case of raising the temperature, this may be a heating pad or coil. This is the minimum that the PID output must be before the Up Output turns on. If the PID output exceeds this minimum, the Up Output will turn on for the PID output number of seconds. This is the maximum duration the Up Output is allowed to turn on for. If the PID output exceeds this number, the Up Output will turn on for no greater than this duration of time. This is the output that will cause the particular environmental condition to lower. In the case of lowering the CO2, this may be an exhaust fan. This is the minimum that the PID output must be before the Down Output turns on. If the PID output exceeds this minimum, the Down Output will turn on for the PID output number of seconds. This is the maximum duration the Down Output is allowed to turn on for. if the PID output exceeds this number, the Down Output will turn on for no greater than this duration of time. Proportional coefficient (non-negative). Accounts for present values of the error. For example, if the error is large and positive, the control output will also be large and positive. Integral coefficient (non-negative). Accounts for past values of the error. For example, if the current output is not sufficiently strong, the integral of the error will accumulate over time, and the controller will respond by applying a stronger action. Derivative coefficient (non-negative). Accounts for predicted future values of the error, based on its current rate of change. The minimum allowed integrator value, for calculating Ki_total: (Ki_total = Ki * integrator; and PID output = Kp_total + Ki_total + Kd_total) The maximum allowed integrator value, for calculating Ki_total: (Ki_total = Ki * integrator; and PID output = Kp_total + Ki_total + Kd_total) Raise Output Min Duration (raise) Max Duration (raise) Lower Output Min Duration (lower) Max Duration (lower) KP KI KD Integrator Min Integrator Max Conditional Statements A conditional statement is a way to perform certain actions based on whether a condition is true. Conditional statements can be created for both inputs and outputs. Possible conditional statements include: • • • • • • • If Output #1 turns ON, turn Output #3 ON If Output #1 turns ON, turn Output #4 ON for 40 seconds and notify critical-issue@domain.com If Output #1 turns ON for any duration, turn Output #4 ON If Output #4 turns ON for 21 seconds, turn Output #5 ON for 50 seconds If Output #4 turns ON for 20 seconds, turn Output #1 OFF If Humidity is Greater Than 80%, turn Output #4 ON for 40 seconds If Humidity if Less Than 50%, turn Output #1 ON for 21 seconds, execute ‘/usr/local/bin/script.sh’, and notify email@domain.com • If Temperature if Greater Than 35 C, deactivate PID #1 Before activating any conditional statements or PID controllers, it’s advised to thoroughly explore all possible scenarios and plan a configuration that eliminates conflicts. Then, trial run your configuration before connecting devices to the outputs. Some devices or outputs may respond atypically or fail when switched on and off in rapid succession. Therefore, avoid creating an infinite loop with conditional statements. Measurement Conditional Statement If Options Setting Description If Measurement The measurement that will be checked every Period. By default, a measurement will only be checked for in the past 120 seconds, unless “None Found Last x seconds” in which case the Value will determine the measurement age. The takeaway from this is if a measurement is more than 120 seconds The conditional will trigger if the measurement Greater Than or Less Than the set Value, or if “No Measurement” is set and the measurement age is greater than Max Age. The value that the measurement will be checked against (greater or less than). State Value Setting Description Period (seconds) Max Age (seconds) The period (seconds) between conditional checks. The maximum age the measurement can be. If a measurement isn’t available within this time frame, the conditional will not trigger. The only exception is if State is set to “No Measurement”, which will cause the conditional to trigger when there is no measurement available. Output Conditional Statement If Options Setting Description Output State The Output to monitor for a change of state. If the state of the output changes to On or Off the conditional will trigger. If “On (any duration) is selected, th trigger will occur no matter how long the output turns on for, whereas if only”On" is selected, the conditional will trigger only when the output turns on for a duration of time equal to the set “Duration (seconds)”. If “On” is selected, a optional duration (seconds) may be set that will trigger the conditional only if the Output is turned on for this specific duration. Duration (seconds) Edge Conditional Statement If Options Setting Description Edge Detected The conditional will be triggered if a change in state is detected, either Rising when the state changes from LOW (0 volts) to HIGH (3.5 volts) or Falling when the state changes from HIGH (3.3 volts) to LOW (0 volts), or Both (Rising and Falling). The conditional will trigger if the GPIO state of HIGH (3.3 volts) or LOW (0 volts) is detected every Period. If GPIO State is selected, how often to check the state of the GPIO. GPIO State Period (seconds) Conditional Statement Actions Setting Description Output Command Activate PID Deactivate PID Email Turn a output on, off, or on for a duration of time. Execute a command in the linux shell (as user mycodo). Activate a particular PID controller. Deactivate a particular PID controller. Send an email containing information about the current condition that triggered the conditional to send the email. Have an LCD screen begin flashing in order to alert. Capture a photo with the selected camera. Capture a photo and email it as an attachment to the an email address. Capture a video of a set duration with the selected camera. Capture a video and email it as an attachment to the an email address. Flash LCD Photo Email Photo Video Email Video Conditional Statement variables Commands that are executed by conditional statements can now include variables. To use, just place the variable name, including “((” and “))” in your command, and it will be replaced with the variable’s value before execution. See the tables below for the currently-supported variables. It is recommended to output a test string to a text file to verify the output is as expected, with a command such as the following (for a Conditional using the Raspberry Pi CPU temperature Input as the measurement): echo "TEST: ((measure_temperature)), ((measure_location)), ((measure_period))" > /home/mycodo/test_measure.txt Or for an Output Conditional: echo "TEST: ((output_pin)), ((output_action)), ((output_duration)), ((output_pwm))" > /home/mycodo/test_output.t Measurement Conditional command variables Variable Description ((measure_location)) ((measure_period)) ((measure_linux_command)) ((measure_altitude)) ((measure_co2)) ((measure_cpu_load_1m)) ((measure_cpu_load_5m)) ((measure_cpu_load_15m)) ((measure_dewpoint)) ((measure_disk_space)) ((measure_duty_cycle)) ((measure_edge)) ((measure_frequency)) ((measure_humidity)) ((measure_lux)) ((measure_moisture)) ((measure_ph)) ((measure_pressure)) ((measure_pulse_width)) ((measure_rpm)) ((measure_temperature)) ((measure_temperature_die)) ((measure_temperature_object)) ((measure_voltage)) Input location (such as GPIO pin, I2C address, etc.) The period (seconds) between measurements (input, math, or PID) Input measurement: Linux Command return value Input measurement: altitude Input measurement: CO2 Input measurement: CPU load (1 min) Input measurement: CPU load (5 min) Input measurement: CPU load (15 min) Input measurement: dew point Input measurement: disk space Input measurement: duty cycle Input measurement: edge detected (1 or -1) Input measurement: frequency Input measurement: humidity Input measurement: lux Input measurement: moisture Input measurement: ph Input measurement: pressure Input measurement: pulse width Input measurement: RPM Input measurement: temperature Input measurement: temperature (die) Input measurement: temperature (object) Input measurement: voltage Output Conditional command variables Variable Description ((output_pin)) ((output_action)) ((output_duration)) The output pin The state change of the output (turned on = 1, turned off = 0) The number of seconds the output turned on for (will return 0 if not applicable) The PWM duty cycle the output turned on for (will return 0 if not applicable) ((output_pwm)) Edge Conditional command variables Variable Description ((edge_state)) The state of the GPIO pin (on/rising = 1, off/falling = 0) Timers Timers enable outputs to be manipulated after specific durations of time or at a specific times of the day. Timers will only do as instructed, therefore if you turn a output ON from Start Time to End Time and you want that output to turn OFF at the end of that period, you will need to create another timer that turns the output OFF at End Time + 1 minute. There are two types of timers, one for general outputs that turn on and off, and those that generate a PWM signal. General Output For Duration Timers, both the on duration and the off duration can be defined and the timer will be turned on and off for those durations until deactivated. For Daily Timers, the start hour:minute can be set to turn a specific output on or off at the specific time of day. PWM Method This timer allows a method to be used to determine the duty cycle (as percent) of a PWM output. While creating these methods, keep in mind a duty cycle is a percentage and the values must stay between 0 and 100. LCDs Data may be output to a liquid crystal display (LCD) for easy viewing. Please see LCD Displays for specific information regarding compatibility. There may be multiple displays created for each LCD. If there is only one display created for the LCD, it will refresh at the set period. If there is more than one display, it will cycle from one display to the next every set period. Setting Description Reset Flashing If the LCD is flashing to alert you because it was instructed to do so by a triggered Conditional Statement, use this button to stop the flashing. Select either a 16x2 or 20x4 character LCD display. Select the I2C to communicate with the LCD. If the LCD is connected to a multiplexer, select the multiplexer I2C address. If the LCD is connected to a multiplexer, select the multiplexer channel the LCD is connected to. This is the period of time (in seconds) between redrawing the LCD with new data or switching to the next set of displays (if multiple displays are used). Add a set of display lines to the LCD. Select which measurement to display on each line of the LCD. The maximum age the measurement is allowed to be. If no measurement was acquired in this time frame, the display will indicate “NO DATA”. Type I2C Address Multiplexer I2C Address Multiplexer Channel Period Add Display Set Display Line # Max Age (seconds) Methods Methods enable Setpoint Tracking in PIDs and time-based duty cycle changes in timers. Normally, a PID controller will regulate an environmental condition to a specific setpoint. If you would like the setpoint to change over time, this is called setpoint tracking. Setpoint Tracking is useful for applications such as reflow ovens, thermal cyclers (DNA replication), mimicking natural daily cycles, and more. Methods may also be used to change a duty cycle over time when used with a Timer. Universal Options These options are shared with several method types. Setting Description Start Time/Date End Time/Date Start Setpoint End Setpoint This This This This is is is is the the the the start time of a range of time. end time of a range of time. start setpoint of a range of setpoints. end setpoint of a range of setpoints. Specific Method Options Time/Date Method A time/date method allows a specific time/date span to dictate the setpoint. This is useful for long-running methods, that may take place over the period of days, weeks, or months. Duration Method A Duration Method allows a Setpoint (for PIDs) or Duty Cycle (for Timers) to be set after specific durations of time. Each new duration added will stack, meaning it will come after the previous duration, meaning a newly-added Start Setpoint will begin after the previous entry’s End Setpoint. If the “Repeat Method” option is used, this will cause the method to repeat once it has reached the end. If this option is used, no more durations may be added to the method. If the repeat option is deleted then more durations may be added. For instance, if your method is 200 seconds total, if the Repeat Duration is set to 600 seconds, the method will repeat 3 times and then automatically turn off the PID or Timer. Daily (Time-Based) Method The daily time-based method is similar to the time/date method, however it will repeat every day. Therefore, it is essential that only the span of one day be set in this method. Begin with the start time at 00:00:00 and end at 23:59:59 (or 00:00:00, which would be 24 hours from the start). The start time must be equal or greater than the previous end time. Daily (Sine Wave) Method The daily sine wave method defines the setpoint over the day based on a sinusoidal wave. The sine wave is defined by y = [A * sin(B * x + C)] + D, where A is amplitude, B is frequency, C is the angle shift, and D is the y-axis shift. This method will repeat daily. Daily (Bezier Curve) Method A daily Bezier curve method define the setpoint over the day based on a cubic Bezier curve. If unfamiliar with a Bezier curve, it is recommended you use the graphical Bezier curve generator and use the 8 variables it creates for 4 points (each a set of x and y). The x-axis start (x3) and end (x0) will be automatically stretched or skewed to fit within a 24-hour period and this method will repeat daily. PID Tuning PID Control Theory The PID controller is the most common regulatory controller found in industrial settings, for it“s ability to handle both simple and complex regulation. The PID controller has three paths, the proportional, integral, and derivative. The Proportional takes the error and multiplies it by the constant Kp , to yield an output value. When the error is large, there will be a large proportional output. The Integral takes the error and multiplies it by Ki , then integrates it (Ki · 1/s). As the error changes over time, the integral will continually sum it and multiply it by the constant Ki . The integral is used to remove perpetual error in the control system. If using Kp alone produces an output that produces a perpetual error (i.e. if the sensor measurement never reaches the Set Point), the integral will increase the output until the error decreases and the Set Point is reached. The Derivative multiplies the error by Kd , then differentiates it (Kd · s). When the error rate changes over time, the output signal will change. The faster the change in error, the larger the derivative path becomes, decreasing the output rate of change. This has the effect of dampening overshoot and undershoot (oscillation) of the Set Point. Using temperature as an example, the Process Variable (PV) is the measured temperature, the Setpoint (SP) is the desired temperature, and the Error (e) is the distance between the measured temperature and the desired temperature (indicating if the actual temperature is too hot or too cold and to what degree). The error is manipulated by each of the three PID components, producing an output, called the Manipulated Variable (MV) or Control Variable (CV). To allow control of how much each path contributes to the output value, each path is multiplied by a gain (represented by KP , KI , and KD ). By adjusting the gains, the sensitivity of the system to each path is affected. When all three paths are summed, the PID output is produced. If a gain is set to 0, that path does not contribute to the output and that path is essentially turned off. The output can be used a number of ways, however this controller was designed to use the output to affect the measured value (PV). This feedback loop, with a properly tuned PID controller, can achieve a set point in a short period of time, maintain regulation with little oscillation, and respond quickly to disturbance. Therefor, if one would be regulating temperature, the sensor would be a temperature sensor and the feedback device(s) would be able to heat and cool. If the temperature is lower than the Set Point, the output value would be positive and a heater would activate. The temperature would rise toward the desired temperature, causing the error to decrease and a lower output to be produced. This feedback loop would continue until the error reaches 0 (at which point the output would be 0). If the temperature continues to rise past the Set Point (this is may be acceptable, depending on the degree), the PID would produce a negative output, which could be used by the cooling device to bring the temperature back down, to reduce the error. If the temperature would normally lower without the aid of a cooling device, then the system can be simplified by omitting a cooler and allowing it to lower on its own. Implementing a controller that effectively utilizes KP , KI , and KD can be challenging. Furthermore, it is often unnecessary. For instance, the KI and KD can be set to 0, effectively turning them off and producing the very popular and simple P controller. Also popular is the PI controller. It is recommended to start with only KP activated, then experiment with KP and KI , before finally using all three. Because systems will vary (e.g. airspace volume, degree of insulation, and the degree of impact from the connected device, etc.), each path will need to be adjusted through experimentation to produce an effective output. Quick Setup Examples These example setups are meant to illustrate how to configure regulation in particular directions, and not to achieve ideal values to configure your KP , KI , and KD gains. There are a number of online resources that discuss techniques and methods that have been developed to determine ideal PID values (such as here, here, here, here, and here) and since there are no universal values that will work for every system, it is recommended to conduct your own research to understand the variables and essential to conduct your own experiments to effectively implement them. Provided merely as an example of the variance of PID values, one of my setups had temperature PID values (up regulation) of KP = 30, KI = 1.0, and KD = 0.5, and humidity PID values (up regulation) of KP = 1.0, KI = 0.2, and KD = 0.5. Furthermore, these values may not have been optimal but they worked well for the conditions of my environmental chamber. Exact Temperature Regulation This will set up the system to raise and lower the temperature to a certain level with two regulatory devices (one that heats and one that cools). Add a sensor, then save the proper device and pin/address for each sensor and activate the sensor. Add two outputs, then save each GPIO and On Trigger state. Add a PID, then select the newly-created sensor. Change Setpoint to the desired temperature, Regulate Direction to “Both”. Set Raise Output to the relay attached to the heating device and the Lower Relay to the relay attached to the cooling device. Set KP = 1, KI = 0, and KD = 0, then activate the PID. If the temperature is lower than the Set Point, the heater should activate at some interval determined by the PID controller until the temperature rises to the set point. If the temperature goes higher than the Set Point (or Set Point + Buffer), the cooling device will activate until the temperature returns to the set point. If the temperature is not reaching the Set Point after a reasonable amount of time, increase the KP value and see how that affects the system. Experiment with different configurations involving only Read Interval and KP to achieve a good regulation. Avoid changing the KI and KD from 0 until a working regulation is achieved with KP alone. View graphs in the 6 to 12 hour time span to identify how well the temperature is regulated to the Setpoint. What is meant by well-regulated will vary, depending on your specific application and tolerances. Most applications of a PID controller would like to see the proper temperature attained within a reasonable amount of time and with little oscillation around the Setpoint. Once regulation is achieved, experiment by reducing KP slightly (~25%) and increasing KI by a low amount to start, such as 0.1 (or lower, 0.01), then start the PID and observe how well the controller regulates. Slowly increase KI until regulation becomes both quick and with little oscillation. At this point, you should be fairly familiar with experimenting with the system and the KD value can be experimented with once both KP and KI have been tuned. High Temperature Regulation Often the system can be simplified if two-way regulation is not needed. For instance, if cooling is unnecessary, this can be removed from the system and only up-regulation can be used. Use the same configuration as the Exact Temperature Regulation example, except change Regulate Direction to “Raise” and do not touch the “Down Relay” section. Configuration Settings The settings menu, accessed by selecting the gear icon in the top-right, then the Configure link, is a general area for various system-wide configuration options. General Settings Setting Description Language Force HTTPS Set the language that will be displayed in the web user interface. Require web browsers to use SSL/HTTPS. Any request to http:// will be redirected to https://. Hide all success alert boxes that appear at the top of the page. Hide all info alert boxes that appear at the top of the page. Hide all warning alert boxes that appear at the top of the page. Turn off sending anonymous usage statistics. Please consider that this helps the development to leave on. Automatically check for updates every 2 days and notify through the web interface. If there is a new update, the Configure (Gear Icon) as well as the Upgrade menu will turn the color red. Hide success alerts Hide info alerts Hide warning alerts Opt-out of statistics Check for Updates Output Usage Settings In order to calculate accurate output usage statistics, a few characteristics of your electrical system needs to be know. These variables should describe the characteristics of the electrical system being used by the relays to operate electrical devices. Note: Proper output usage calculations also rely on the correct current draw to be set for each output (see Output Settings). Setting Description Max Amps Set the maximum allowed amperage to be switched on at any given time. If a output that’s instructed to turn on will cause the sum of active devices to exceed this amount, the output will not be allowed to turn on, to prevent any damage that may result from exceeding current limits. Alternating current (AC) voltage that is switched by the outputs. This is usually 120 or 240. This is how much you pay per kWh. This is the unit used for the currency that pays for electricity. This is the day of the month (1-30) that the electricity meter is read (which will correspond to the electrical bill). Voltage Cost per kWh Currency Unit Day of Month Users Mycodo requires at least one Admin user for the login system to be enabled. If there isn’t an Admin user, the web server will redirect to an Admin Creation Form. This is the first page you see when starting Mycodo for the first time. After an Admin user has been created, additional users may be created from the User Settings page. Setting Description Username Choose a user name that is between 2 and 64 characters. The user name is case insensitive (all user names are converted to lower-case). The email associated with the new account. Choose a password that is between 6 and 64 characters and only contain letters, numbers, and symbols. Roles are a way of imposing access restrictions on users, to either allow or deny actions. See the table below for explanations of the four default Roles. Email Password/Repeat Role User Roles Roles define the permissions of each user. There are 4 default roles that determine if a user can view or edit particular areas of Mycodo. Four roles are provided by default, but custom roles may be created. Role Admin Editor Monitor Edit Users Edit Controllers Edit Settings View Settings View Camera View Stats View Logs X X X X X X X X X X X X X X X X X Guest 1The Edit Controllers permission protects the editing of Graphs, LCDs, Methods, PIDs, Outputs, Inputs, and Timers. 2The View Stats permission protects the viewing of usage statistics and the System Info and Output Usage pages. Alert Settings Alert settings set up the credentials for sending email notifications. Setting Description SMTP Host SMTP Port Enable SSL SMTP User The SMTP server to use to send emails from. Port to communicate with the SMTP server (465 for SSL, 587 for TSL). Check to enable SSL, uncheck to enable TSL. The user name to send the email from. This can be just a name or the entire email address. The password for the user. What the from email address be set as. This should be the actual email address for this user. Set the maximum number of emails that can be sent per hour. If more notifications are triggered within the hour and this number has been reached, the notifications will be discarded. Test the email configuration by sending a test email. SMTP Password From Email Max emails (per hour) Send Test Email Setting Description Camera Settings Many cameras can be used simultaneously with Mycodo. Each camera needs to be set up in the camera settings, then may be used throughout the software. Note that not every option (such as Hue or White Balance) may be able to be used with your particular camera, due to manufacturer differences in hardware and software. Setting Description Type Library Select whether the camera is a Raspberry Pi Camera or a USB camera. Select which library to use to communicate with the camera. The Raspberry Pi Camera uses picamera, and USB cameras should be set to fswebcam. The device to use to connect to the camera. fswebcam is the only library that uses this option. This output will turn on during the capture of any still image (which includes timelapses). The number of degrees to rotate the image. Image Width, Image Height, Brightness, Contrast, Exposure, Gain, Hue, Saturation, White Balance. These options are self-explanatory. Not all options will work with all cameras. A command to execute (as user mycodo) before a still image is captured. A command to execute (as user mycodo) after a still image is captured. Flip, or mirror, the image horizontally. Flip, or mirror, the image vertically. Device Output ID Rotate Image ... Pre Command Post Command Flip horizontally Flip vertically Miscellaneous Dashboard The dashboard is where you can add pieces of data for easy viewing. It is highly customizable and provides an easy way to see exactly what data you want to see on one screen. Graphs A graphical data display that is useful for viewing data sets spanning relatively short periods of time (hours/days/weeks). Select a time frame to view data and continually updating data from new sensor measurements. Multiple graphs can be created on one page that enables a dashboard to be created of graphed sensor data. Each graph may have one or more data from inputs, outputs, or PIDs rendered onto it. To edit graph options, select the plus sign on the top-right of a graph. Setting Description Width The width of the dashboard object on the page, in 1/12th increments. Multiple dashboard object can share the sme row if their combined fraction doesn’t exceed 12/12. The height of the dashboard object. The duration to display on the x-axis of the graph. Automatically refresh the data on the graph Refresh Period. The duration between acquisitions of new data to display on the graph. Set the minimum and maximum y-axis of all measurements of a particular graph to Y-Axis Minimum and Y-Axis Maximum. The minimum value of all y-axes on the graph. The maximum value of all y-axes on the graph. The Inputs, Outputs, and PIDs to display on the graph. Reset the x-axis min/max every time new data comes in during the auto refresh. Height (pixels) x-Axis (minutes) Enable Auto Refresh Refresh (seconds) Manual Y-Axis Min/Max Y-Axis Minimum Y-Axis Maximum Inputs/Outputs/PIDs Enable X-Axis Reset Enable Title Enable Navbar Enable Export Enable Range Selector Enable Custom Colors Show a title of the graph name. Show a slidable navigation bar at the bottom of the graph. Enable a button on the top right of the graph to allow exporting of the currently-displayed data as PNG, JPEG, PDF, SVG, CSV, XLS. Show a set of navigation buttons at the top of the graph to quickly change the display duration. Use custom colors for Input, Output, and PID lines. Select the colors with the buttons that appear below this checkbox. Gauges Gauges are visual objects that allow one to quickly see what the latest measurement is of an input. An example that you may be familiar with is a speedometer in a car. Setting Description Width The width of the dashboard object on the page, in 1/12th increments. Multiple dashboard object can share the sme row if their combined fraction doesn’t exceed 12/12. The height of the dashboard object. The duration between acquisitions of new data to display on the graph. The maximum allowable age of the measurement. If the age is greater than this, the gauge will turn off, indicating there is an issue. The lowest value of the gauge. The highest value of the gauge. Height (pixels) Refresh (seconds) Max Age (seconds) Gauge Min Gauge Max Cameras Cameras may be added to keep a continuous view on areas. Setting Description Width The width of the dashboard object on the page, in 1/12th increments. Multiple dashboard object can share the sme row if their combined fraction doesn’t exceed 12/12. The height of the dashboard object. The duration between acquisitions of new data to display on the graph. The maximum allowed age of the image timestamp before a “No Recent Image” message is returned. Acquire a new images and save the previous image. Acquire a new image but erase the previous image. Automatically start a video stream and display it. Display the latest timelapse image that exists. Append a timestamp to the image. Height (pixels) Refresh (seconds) Max Age (seconds) Acquire Image (and save new file) Acquire Image (and erase last file) Display Live Video Stream Display Latest Timelapse Image Add Timestamp Live Measurements The Live Measurements page is the first page a user sees after logging in to Mycodo. It will display the current measurements being acquired from Input and Math controllers. If there is nothing displayed on the Live Measurements page, ensure an Input or Math controller is both configured correctly and activated. Data will be automatically updated on the page from the measurement database. Asynchronous Graphs A graphical data display that is useful for viewing data sets spanning relatively long periods of time (weeks/months/years), which could be very data- and processor-intensive to view as a Live Graph. Select a time frame and data will be loaded from that time span, if it exists. The first view will be of the entire selected data set. For every view/zoom, 700 data points will be loaded. If there are more than 700 data points recorded for the time span selected, 700 points will be created from an averaging of the points in that time span. This enables much less data to be used to navigate a large data set. For instance, 4 months of data may be 10 megabytes if all of it were downloaded. However, when viewing a 4 month span, it’s not possible to see every data point of that 10 megabytes, and aggregating of points is inevitable. With asynchronous loading of data, you only download what you see. So, instead of downloading 10 megabytes every graph load, only ~50kb will be downloaded until a new zoom level is selected, at which time only another ~50kb is downloaded. Note: Live Graphs require measurements to be acquired, therefore at least one sensor needs to be added and activated in order to display live data. Export-Import Measurements that fall within the selected date/time frame may be exported as CSV with their corresponding timestamps. Additionally, the entire measurement database (influxdb) may be exported as a ZIP file backup. This ZIP may be imported back in any Mycodo system to restore these measurements. Note that an import will override the current data (i.e. destroying it). Mycodo settings may be exported as a ZIP file containing the Mycodo settings database (sqlite). This ZIP file may be used to restore the settings database to another Mycodo install, as long as the Mycodo version and database versions are the same. Future support for installing older (or newer) databases and performing an automatic upgrade/downgrade is in the works. Camera Once a cameras has been set up (in the Camera Settings), it may be used to capture still images, create time-lapses, and stream video. Cameras may also be used by Conditional Statements to trigger a camera image or video capture (as well as the ability to email the image/video with a notification). Output Usage Output usage statistics are calculated for each output, based on how long the output has been powered, the current draw of the device connected to the output, and other Relay Usage Settings. Backup-Restore A backup is made to /var/Mycodo-backups when the system is upgraded or through the web interface on the Config -> Backup / Restore page. If you need to restore a backup, this can be done on the Config -> Backup / Restore page. Find the backup you would like restored and press the Restore button beside it. A restore can also be initialized through the command line. Use the following commands to initialize a restore, changing the appropriate directory names, ‘user’ to your user name, and TIME and COMMIT to the appropriate text found as the directory names in /var/Mycodo-backups/ sudo mv /home/user/Mycodo /home/user/Mycodo_old sudo cp -a /var/Mycodo-backups/Mycodo-TIME-COMMIT /home/user/Mycodo sudo /bin/bash ~/Mycodo/mycodo/scripts/upgrade_post.sh System Information This page serves to provide information about the Mycodo frontend and backend as well as the linux system it’s running on. Several commands and their output are listed to give the user information about how their system is running. Command Description Mycodo Version Python Version Database Version The current version of Mycodo, reported by the configuration file. The version of python currently running the web user interface. The current version of the settings database. If the current version is different from what it should be, an error will appear indicating the issue and a link to find out more information about the issue. This will be a green “Running” or a red “Stopped”. Additionally, the Mycodo version and hostname text at the top-left of the screen May be Green, Yellow, or Red to indicate the status. Green = daemon running, yellow = unable to connect, and red = daemon not running. Several other status indicators and commands are listed to provide information about the health of the system. Use these in addition to others to investigate software or hardware issues. Daemon Status ... Troubleshooting Daemon Not Running • Check the Logs: From the Configure [Gear Icon] -> Mycodo Logs page, check the Daemon Log for any errors. If the issue began after an upgrade, also check the Upgrade Log for indications of an issue. • Determine if the Daemon is Running: Execute ps aux | grep '/var/mycodo-root/env/bin/python /var/mycodo-root/mycod in a terminal and look for an entry to be returned. If nothing is returned, the daemon is not running. • Daemon Lock File: If the daemon is not running, make sure the daemon lock file is deleted at /var/lock/mycodo.pid. The daemon cannot start if the lock file is present. • If a solution could not be found after investigating the above suggestions, submit a New Mycodo Issue on github. Incorrect Database Version • Check the System Information page (from the web UI: select [Gear Icon] -> System Information or select the mycodo logo in the top-left). • An incorrect database version error means the version stored in the Mycodo settings database (~/Mycodo/databases/mycodo.db) is not correct for the latest version of Mycodo, determined in the Mycodo config file (~/Mycodo/mycodo/config.py). • This can be caused by an error in the upgrade process from an older database version to a newer version, or from a database that did not upgrade during the Mycodo upgrade process. • Check the Upgrade Log for any issues that may have occurred. The log is located at /var/log/mycodo/mycodoupgrade.log but may also be accessed from the web UI (if you’re able to): select [Gear Icon] -> Mycodo Logs -> Upgrade Log. • Sometimes issues may not immediately present themselves. It is not uncommon to be experiencing a database issue that was actually introduced several Mycodo versions ago, before the latest upgrade. • Because of the nature of how many versions the database can be in, correcting a database issue may be very difficult. It may be much easier to delete your database and let Mycodo generate a new one. • Use the following commands to rename your database and restart the web UI. If both commands are successful, refresh your web UI page in your browser in order to generate a new database and create a new Admin user. mv ~/Mycodo/databases/mycodo.db ~/Mycodo/databases/mycodo.db.backup sudo service mycodoflask restart More Check out the Diagnosing Mycodo Issues Wiki Page on github for more information about diagnosing issues. Device Interfaces Inputs are categorized below by their communication interface. 1-Wire The 1-wire interface should be configured with these instructions. DS18B20: Temperature link (Also works with: DS18S20, DS1822, DS28EA00, DS1825/MAX31850K) GPIO DHT11, DHT22/AM2302: Relative humidity and temperature link SHT1x/SHT7x, SHT2x: Relative humidity and temperature link UART Atlas Scientific pH: pH link Atlas Scientific PT-1000: Temperature link K30: Carbon dioxide (CO2) in ppmv link MH-Z19: Carbon dioxide (CO2) in ppmv link This documentation provides specific installation procedures for configuring UART with the Raspberry Pi version 1 or 2. The K30 may be tested by executing ~/Mycodo/mycodo/tests/manual_tests/test_uart_K30.py For Atlas Scientific sensors, this guide may be used, as well as the above K-30 guide, to set up UART on the Raspberry Pi 1 and 2. However, for Pi 3s, use the procedure below. Because the UART is handled differently by the Raspberry Pi 3, from of the addition of bluetooth, there are a different set of instructions. If installing Mycodo on a Raspberry Pi 3, you only need to perform these steps to configure UART: Run raspi-config sudo raspi-config Go to Advanced Options -> Serial and disable. Then edit /boot/config.txt sudo vi /boot/config.txt Find the line “enable_uart=0” and change it to “enable_uart=1”, then reboot. I2C The I2C interface should be enabled with raspi-config. Analog to Digital Converters An analog to digital converter (ADC) allows the use of any analog sensor that outputs a variable voltage. A voltage divider may be necessary to attain your desired range. ADS1x15: Analog-to-digital converter link MCP342x: Analog-to-digital converter link Sensors AM2315: Relative humidity, temperature link Atlas Scientific pH: pH link Atlas Scientific PT-1000: Temperature link BH1750: Light link BME280: Barometric pressure, humidity, temperature link BMP085, BMP180: Barometric pressure, temperature link HTU21D: Relative humidity and temperature link TMP006, TMP007: Contactless temperature link TSL2561: Light link Chirp: link Moisture, light, and temperature Edge Detection The detection of a changing signal, for instance a simple switch completing a circuit, requires the use of edge detection. By detecting a rising edge (LOW to HIGH), a falling edge (HIGH to LOW), or both, actions or events can be triggered. The GPIO chosen to detect the signal should be equipped with an appropriate resistor that either pulls the GPIO up [to 5-volts] or down [to ground]. The option to enable the internal pull-up or pull-down resistors is not available for safety reasons. Use your own resistor to pull the GPIO high or low. Examples of devices that can be used with edge detection: simple switches and buttons, PIR motion sensors, reed switches, hall effect sensors, float switches, and more. I2C Multiplexers All devices that connected to the Raspberry Pi by the I2C bus need to have a unique address in order to communicate. Some inputs may have the same address (such as the AM2315), which prevents more than one from being connected at the same time. Others may provide the ability to change the address, however the address range may be limited, which limits by how many you can use at the same time. I2C multiplexers are extremely clever and useful in these scenarios because they allow multiple sensors with the same I2C address to be connected. TCA9548A/PCA9548A: I2C Multiplexer link (I2C): Has 8 selectable addresses, so 8 multiplexers can be connected to one Raspberry Pi. Each multiplexer has 8 channels, allowing up to 8 devices/sensors with the same address to be connected to each multiplexer. 8 multiplexers x 8 channels = 64 devices/sensors with the same I2C address. Note: The TCA9548A/PCA9548A can be set up in two ways. Either by A) connecting the multiplexer to an already-existing I2C bus and configuring each device manually in Mycodo, or B) (the easier and safer option) creating a dtoverlay to produce a new I2C bus device for each multiplexer channel. Method A can be used with the multiplexer options already existing in Mycodo, however option B benefits by allowing the linux driver to handle channel switching and being able to see every device on every bus at once in Mycodo’s System Information page. To enable option B, visit GPIO-pca9548 to get the code and latest install instructions. If successfully set up, there will be 8 new I2C busses on the Config -> System Information page. TCA9545A: I2C Bus Multiplexer link (I2C): This board works a little differently than the TCA9548A, above. This board actually creates 4 new I2C busses, each with their own selectable voltage, either 3.3 or 5.0 volts. Instructions to enable the Device Tree Overlay are at https://github.com/camrex/i2c-mux-pca9545a. Nothing else needs to be done in Mycodo after that except to select the correct I2C bus when configuring a sensor. Device Specific Information LCD Displays There are only a few number fo LCDs that are supported. Only 16x2 and 20x4 character LCD displays with I2C backpacks are supported. The below image is the type of device that should be compatible. Temperature Sensors Raspberry Pi The Raspberry Pi has an integrated temperature sensor on the BCM2835 SoC that measure the temperature of the CPU/GPU. This is the easiest sensor to set up in Mycodo, as it is immediately available to be used. Atlas Scientific PT-1000 The PT1000 temperature probe is a resistance type thermometer. Where PT stands for platinum and 1000 is the measured resistance of the probe at 0°C in ohms (1k at 0°C). Specifications • • • • • • • • UART or I2C Accuracy ±(0.15 + (0.002*t)) Probe type: Class A Platinum, RTD (resistance temperature detector) Cable length: 81cm (32“) Cable material: Silicone rubber 30mm sensing area (304 SS) 6mm Diameter BNC Connector • • • • • Reaction Time: 90% value in 13 seconds Probe output: analog Full temperature sensing range: -200°C to 850°C Cable max temp 125°C Cable min temp -55°C DS18B20 The DS18B20 is a 1-Wire digital temperature sensor from Maxim IC. Each sensor has a unique 64-Bit Serial number, allowing for a huge number of sensors to be used on one data bus. Specifications • • • • • • • • • Usable temperature range: -55 to 125°C (-67°F to +257°F) 9 to 12 bit selectable resolution Uses 1-Wire interface- requires only one digital pin for communication Unique 64 bit ID burned into chip Multiple sensors can share one pin ±0.5°C Accuracy from -10°C to +85°C Temperature-limit alarm system Query time is less than 750ms Usable with 3.0V to 5.5V power/data TMP006, TMP007 The TMP006 Breakout can measure the temperature of an object without making contact with it. By using a thermopile to detect and absorb the infrared energy an object is emitting, the TMP006 Breakout can determine how hot or cold the object is. Specifications • Usable temperature range: -40°C to 125°C • Optimal operating voltage of 3.3V to 5V (tolerant up to 7V max) Temperature Humidity Sensors AM2315 Specifications • • • • • 0-100% humidity readings with 1% (10-90% RH) and 3% (0-10% RH and 90-100% RH) accuracy -20 to 80°C temperature readings ±0.1°C typical accuracy 3.5 to 5.5V power and I/O 10 mA max current use during conversion (while requesting data) No more than 0.5 Hz sampling rate (once every 2 seconds) Notes From [@Theoi-Meteoroi](https://github.com/kizniche/Mycodo/issues/315#issuecomment-344798815) on GitHub: I figured out why this [AM2315] sensor is unreliable with Rpi3 hardware I2C. It is among a number of I2C devices that really hates the BCM2835 clock stretching blunder (hardware bug: raspberrypi/linux#254). The wakeup attempts fail, consistently. I checked the bitstream with a sniffer, and see that the sensor may respond once out of 20 or so tries (or not at all) but only with a single byte returned. The solution is to use a software implementation of the I2C bus. You need to add pull-up resistors (4.7k is dandy) to 3.3v and install the i2c_gpio device overlay. Seems to work fine now, will run for a few days, but the CRC failures are gone and I get good readings, every time. And no twiddling the power for the sensor is required. To enable software I2C, add the following line to your /boot/config.txt dtoverlay=i2c-gpio,i2c_gpio_sda=23,i2c_gpio_scl=24,i2c_gpio_delay_us=4 After rebooting, a new I2C bus at /dev/i2c-3 should exist with SDA on pin 23 (BCM) and SCL on pin 24 (BCM). Make sure you add the appropriate pull-up resistors before connecting any devices. DHT11 Specifications • • • • • 3 to 5V power and I/O 2.5mA max current use during conversion (while requesting data) 20-80% humidity readings with 5% accuracy 0-50°C temperature readings ±2°C accuracy No more than 1 Hz sampling rate (once every second) DHT22, AM2302 Compared to the DHT11, this sensor is more precise, more accurate and works in a bigger range of temperature/humidity, but its larger and more expensive. The wiring is the same as the DHT11. Specifications • • • • • 0-100% humidity readings with 2% (10-90% RH) and 5% (0-10% RH and 90-100% RH) accuracy -40 to 80°C temperature readings ±0.5°C accuracy 3 to 5V power and I/O 2.5mA max current use during conversion (while requesting data) No more than 0.5 Hz sampling rate (once every 2 seconds) HTU21D Specifications • 0-100% humidity readings with 2% (20-80% RH) and 2%-5% (0-20% RH and 80-100% RH) accuracy • Optimum accuracy measurements within 5 to 95% RH • -30 to 90°C temperature readings ±1°C typical accuracy SHT1x (SHT10, SHT11, SHT15) Specifications • • • • 0-100% humidity readings with 2%-5% (10-90% RH) and 2%-7.5% (0-10% RH and 90-100% RH) accuracy -40 to 125°C temperature readings ±0.5°C, ±0.4°C, and ±0.3°C typical accuracy (respectively) 2.4 to 5.5V power and I/O No more than 0.125 Hz sampling rate (once every 8 seconds) SHT7x (SHT71, SHT75) Specifications • • • • 0-100% humidity readings with 2%-3% (10-90% RH) and 2%-5% (0-10% RH and 90-100% RH) accuracy -40 to 125°C temperature readings ±0.4°C and ±0.3°C typical accuracy (respectively) 2.4 to 5.5V power and I/O No more than 0.125 Hz sampling rate (once every 8 seconds) CO2 Sensors K-30 Be very careful when connecting the K-30, as there is no reverse-voltage protection and improper connections could destroy your sensor. Wiring instructions for the Raspberry Pi can be found here. Specifications • • • • • • • • 0 – 10,000 ppmv (0 - 5,000 ppmv within specifications) Repeatability: ±20 ppm ±1% of measured value within specifications Accuracy: ±30 ppm ±3% of measured value within specifications Non-dispersive infrared (NDIR) technology Sensor life expectancy: > 15 years Self-diagnostics: complete function check of the sensor module Warm-up time: < 1 min. (@ full specs < 15 min) 0.5 Hz sampling rate (once every 2 seconds) MH-Z19 Specifications • • • • • • 0 – 5,000 ppmv Accuracy: ±50 ppm ±5% of measured value within specifications Non-dispersive infrared (NDIR) technology Sensor life expectancy: > 5 years Warm-up time: 3 min. 0.2 Hz sampling rate (once every 5 seconds) Moisture Sensors Chirp The Chirp sensor measures moisture, light, and temperature. Specifications • Vin: 3 to 5V • I2C 7-bit address 0x77 pH Sensors Atlas Scientific pH The Atlas Scientific pH sensor measures the pH of a liquid. Specifications • • • • • UART or I2C Probe Max Pressure: 690 kPa (100PSI) Probe Max Depth 60 M (197 ft) Probe Weight: 49 grams Probe can be fully submerged in fresh or salt water indefinitely Pressure Sensors BME280 The BME280 is the upgrade to the BMP085/BMP180/BMP183. It has a low altitude noise of 0.25m and the same fast conversion time. It has the same specifications, but can use either I2C or SPI. Specifications • • • • • • • • • 300-1100 hPa (9000m to -500m above sea level) -40 to +85°C operational range ±3% humidity accuracy tolerance ±1% humidity hysteresis ±1 hPa pressure accuracy ±2°C temperature accuracy Vin: 3 to 5V Logic: 3 to 5V compliant I2C 7-bit address 0x76 or 0x77 BMP085, BMP180 The BMP180 replaces the BMP085. It is completely identical to the BMP085 in terms of firmware/software/interfacing. Specifications • • • • • • • 300-1100 hPa (9000m to -500m above sea level) Up to 0.03hPa / 0.25m resolution -40 to +85°C operational range ±2°C temperature accuracy Vin: 3 to 5V Logic: 3 to 5V compliant I2C 7-bit address 0x77 Luminosity Sensors BH1750 The BH1750 is an I2C luminosity sensor that provides a digital value in lux (lx) over a range of 1 - 65535 lx. TSL2561 The TSL2561 SparkFun Luminosity Sensor Breakout is a sophisticated light sensor which has a flat response across most of the visible spectrum. Unlike simpler sensors, the TSL2561 measures both infrared and visible light to better approximate the response of the human eye. And because the TSL2561 is an integrating sensor (it soaks up light for a predetermined amount of time), it is capable of measuring both small and large amounts of light by changing the integration time. Specifications • Light range: 0.1 - 40k+ lux • Vin: 3V and a low supply • Max current: 0.6mA. Analog to Digital Converters ADS1x15 (ADS1015, ADS1115) Specifications • • • • • • Interface: I2C I2C 7-bit addresses 0x48 - 0x4B Input channels: 2 (differential), 4 (single-ended) Power: 2.0V to 5.5V Sample Rate: 1015: 128SPS to 3.3kSPS, 1115: 8SPS to 860SPS Resolution: 1015: 12-bit, 1115: 16-bit MCP342x (MCP3422, MCP3423, MCP3424, MCP3426, MCP3427, MCP3428) Specifications • • • • • • • • Interface: I2C I2C 7-bit addresses 0x68 - 0x6F MCP3422: 2 channel, 12, 14, 16, or 18 bit MCP3423: 2 channel, 12, 14, 16, or 18 bit MCP3424: 4 channel, 12, 14, 16, or 18 bit MCP3426: 2 channel, 12, 14, or 16 bit MCP3427: 2 channel, 12, 14, or 16 bit MCP3428: 4 channel, 12, 14, or 16 bit Diagrams DHT11 Diagrams DS18B20 Diagrams Raspberry Pi and Relay Diagrams Raspberry Pi, 4 relays, 4 outlets, 1 DS18B20 sensor: Raspberry Pi, 8 relays, 8 outlets:
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