Relative Humidity, Temperature and Pressure monitoring solution

Download

• Clone this repo git clone https://github.com/DigitalShoestringSolutions/HumidityMonitoring
• Open the downloaded folder cd HumidityMonitoring

Configure & Assemble

• Edit the config file to set machine name nano UserConfig/Sensing/main.py
• Check the recipe contains the Service Modules you desire nano recipe.txt
• Assemble the Service Modules ServiceModules/Asssembly/get_service_modules.sh
• Restart to apply the settings to the downloaded Service Modules

Build & Run

• Build the docker containers docker compose build
• Start the docker containers ./start.sh

Usage

• View the dashboard: navigate to localhost:3000 in a web browser

Additional Sensing Nodes

The default collection of Service Modules creates an independent system, complete with communications controller, database and dashboard hosting. If in your deployment environment you would like to expand an existing sytem by adding more sensors connected over the network, the Solution can be built in a simplified configuration that only gathers data and sends it to the master pi.

• In recipe.txt, remove the Service Modules that are not required:

  • MQTTBroker
  • AWSRelay
  • Timeseries
  • Grafana

• In UserConfig/Sensing/main.py, Add , broker="xxx.xxx.xxx.xxx" to the end of the publish function to send the data to the master pi. Hence ideally your master pi will have a static IP address. For example the last line could become:

  • publish( {"machine": "StoreRoom"} | mysht40.get_TRH() | mybmp280.get_P(), broker="192.168.59.50" )