IoT Air Quality Monitoring System

The project consists in the deployment of an IoT application for smart home scenarios, including functionalities of IoT-based monitoring of indoor environ- mental parameters such as temperature, humidity and gas concentration, data collection and data forecasting. More information about the semantics on the introduction section.

Introduction

Project for Air Quality Monitoring in an indoor environment with gas and climate sensors and a monitoring system for the analysis of the quality of air with an alarm subroutine.

Dependencies

The entire project run on a Node.js proxy server, firstly we need to install dependencies with npm install.

For the sensor we uses some libraries installed from the library manager on the Arduino IDE like Thing.CoAP, mqtt and ArduinoJSON.

CoAP Setup

Sensors support MQTT and CoAP protocols. MQTT is connected to a Mosquitto deployed broker. If we want to use CoAP adapter, we need to install Thing.CoAP. We need to clone it locally and put the cloned repository in the Arduino libraries (Arduino IDE). Furthermore, we need to setup public IP of the proxy server on proxyIp variable; data related are on the server log during the startup.

InfluxDB Setup

If we want to set InfluxDB locally and use it for the Internet of Things air quality monitoring, we need to follows these terminal commands:

• Focus the InfluxDB initialization and setup on https://docs.influxdata.com/influxdb/v2.2/install/.
• Setup your global variable for the Influx token given by export INFLUX_TOKEN=<token-here>.
• Open the first terminal and digit influxd to open the InfluxDB logging system.
• Digit telegraf --config http://localhost:8086/api/v2/telegrafs/<serial-code> in a second terminal with the serial code given during the telegraf installation.

Grafana Dashboard

We used Grafana for time series panels and check runtime views on the data changing over time. The entire guidelines to set it and put information inside an embedded dashboard are well-described in the official documentation.

Contributors

• Andrea Gurioli (@andreagurioli1995)
• Mario Sessa (@kode-git)