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An automatic plant watering application in pure Python for the Raspberry Pi.

Project description

PiH2O

The pih2o project attempts to provide an automatic plant watering application out-of-the-box in pure Python for Raspberry Pi. The watering is triggered for all plants depending on the number of plants which need water.

Requirements

The requirements listed below are the one used for the development of pih2o, but other configuration may work fine.

The pump can be replaced by an electro valve if the tank water is upper than the plants (watering by gravity). The number of soil moisture sensors can be easily adapted from 1 to 4. The transistor is optional, the sensors can be directly connected to the 5V pin in order to power them continuously (but it accelerate their corrosion).

Hardware

  • 1 Raspberry Pi 2 Model B (or higher)
  • 1 pump and its power supply 12V DC (or electro valve)
  • 1 to 4 soil moisture sensors (Arduino TE215)
  • 1 Analog-to-Digital Converter (ADS1015 or ADS1115 4 Channel I2C)
  • 2 transistors NPN (type BC237B)
  • 1 transistor PNP high power switch (type BDX34)
  • 1 zener diode (type 1N4007)
  • 2 resistors of 1.5k Ohm
  • 1 resistor of 10k Ohm

Software

  • Python 3.5.3
  • RPi.GPIO 0.6.3
  • adafruit-ads1x15 1.0.2
  • croniter 0.3.23
  • blinker 1.4
  • flask 1.0.2
  • flask-restful 0.3.6
  • flask-sqlalchemy 2.3.2

Install

A brief description on how to set-up a Raspberry Pi to use this software.

  1. Download latest Raspbian image and set-up an SD-card. You can follow these instructions .

  2. Insert the SD-card into the Raspberry Pi and fire it up. Use the raspi-config tool that is shown automatically on the first boot to configure your system (e.g., expand partition, change hostname, password, enable SSH, configure to boot into GUI, etc.).

    Hint

    Don’t forget to enable the I2C in raspi-config.

  3. Reboot and open a terminal. Install the latest firmware version:

    $ sudo rpi-update
    
  4. Upgrade all installed software:

    $ sudo apt-get update
    $ sudo apt-get upgrade
    
  5. Install pih2o from the pypi repository:

    $ sudo pip3 install pih2o
    

Run

Start the automatic plant watering application using the command:

$ pih2o

The application acts as a daemon running on the Raspberry Pi. It can be controlled thanks to an RESTful API.

The pih2o is scheduled to wake up every given interval, power the soil moisture sensors and take humidity measurement (or threshold if no analog input available). Finally the sensors are powered off to extend their lifespan.

Warning

Running pih2o in that way use the development server of flask which is not suitable in a production environment

Define the record interval

The record interval (i.e. time between each humidity measurement) is defined in the Configuration using the crontab syntax which is summarized here:

                  ┌───────────── minute (0 - 59)
                  │ ┌───────────── hour (0 - 23)
                  │ │ ┌───────────── day of month (1 - 31)
                  │ │ │ ┌───────────── month (1 - 12)
                  │ │ │ │ ┌───────────── day of week (0 - 6) (Sunday to Saturday)
                  │ │ │ │ │
                  │ │ │ │ │
record_interval = * * * * *

Pump triggering strategy

The watering time is defined in the Configuration. The rational to dissociate the pump stop from the humidity level measured is the soil slow absorption and we want to avoid floor flooding.

Three strategies are defined to detect if watering is required by your plants depending on your configuration and the number of sensors connected.

  • [GENERAL][watering_strategy] = majority means the pump is triggered if half of sensors are triggered.
  • [GENERAL][watering_strategy] = first means the pump is triggered if at least one sensor is triggered.
  • [GENERAL][watering_strategy] = last means the pump is triggered if all sensors are triggered.

Note

if analog channels are available: the sensor is triggered when the humidity read from the AO goes below the defined threshold (in %) else if digital channels are available: the sensor is triggered if the corresponding DO is set to 1.

Install developing version

If you want to use an unofficial version of the pih2o application, you need to work from a clone of this git repository. Replace the step 5. of the Install procedure above by the following actions:

  • clone from github

    $ git clone https://github.com/anxuae/piH2O.git
    
  • go in the cloned directory

    $ cd pih2o
    
  • install pih2o in editable mode

    $ sudo pip3 install -e .
    
  • start the application exactly in the same way as installed from pypi. All modifications performed in the cloned repository are taken into account when the application starts.

Configuration

At the first run, a configuration file is generated in ~/.config/pih2o/pih2o.cfg which permits to configure the behavior of the application. The configuration can be easily edited using the command:

$ pih2o --config

The default configuration can be restored with the command (strongly recommended when upgrading pih2o):

$ pih2o --reset

See the default configuration file for further details.

Circuit diagram

Soil moisture sensor specification used for this project (the number is up to you but the following diagram is for up to 4 max):

Parameter Value
Input Voltage 3.3 – 5V
Output Voltage 0 – 4.2V
Input Current 35mA
Output Signal Both Analog (A0) and Digital (D0)

Digital sensors

Here is the diagram for digital sensors (rise to high on dry soil). Depending on the sensor type, an signal amplifier may be necessary (not represented on this diagram).

Electronic sketch for digital sensors

Analog sensors

Here is the diagram for analog sensors connected to an ADC1115 to measure humidity level.

Electronic sketch for analog sensors

Pump

Here is the diagram for the pump (or electro valve). For better understanding the sensors are not represented here.

Electronic sketch for pump

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
pih2o-1.0.2-py2.py3-none-any.whl (18.5 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Sep 26, 2018

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