open-co2-monitoring-system

CO2 monitoring system using ESP8266 as microcontroller and MH-Z19C as CO2 sensor, the data collected will be send to the cloud through MQTT protocol. In the cloud server the data will be managed by Node-Red, stored in an InfluxDB database and plot using Grafana service.

Installation

Flashing the microcontroller

Clone the repository using the following command.

git clone https://github.com/davidadrianrg/open-co2-monitoring-system.git

Create your secret keys.h file inside the folder co2-sensor, add your mqtt address and credentials in it like this.

//Configuration secret variables for the CO2 sensor
char brokerIP[15] = "ADD YOUR BROKER IP";
int brokerPort = 1883; //Or set another different than the default one
char mqtt_username[20] = "ADD YOUR MQTT USERNAME";
char mqtt_password[16] = "ADD YOUR MQTT PASSWORD";

Flash your ESP8266 microcontroller using Arduino IDE with the co2-sensor.ino file.

Cloud services deployment

In your cloud instance, first install docker if you do not have installed it yet.

sudo apt update && apt install docker

Create a .env file to add the environment variables to config the containers described in docker-compose.yaml. Add the following to the file.

GF_PATHS_DATA=/var/lib/grafana
GF_PATHS_LOGS=/var/log/grafana
GF_SECURITY_ADMIN_USER=YOUR_GRAFANA_USER
GF_SECURITY_ADMIN_PASSWORD=YOUR_GRAFANA_PASSWORD

INFLUXDB_USERNAME=YOUR_INFLUXDB_USER
INFLUXDB_PASSWORD=YOUR_INFLUXDB_PASSWORD

MOSQUITTO_USERNAME=YOUR_MOSQUITTO_USER
MOSQUITTO_PASSWORD=YOUR_MOSQUITTO_PASSWORD

Create and start the containers with the services (Mosquitto, Node-Red, InfluxDB and Grafana). In the main folder of the project type the following.

sudo docker-compose up -d

Enjoy your IoT system!