Environmental temperature and humidity monitoring with lorawan: IoT in the energy challenge and climate change

Abstract

The research article proposes a system that uses the Internet of Things (IoT) to monitor temperature and humidity. The goal is to collect accurate, real-time data on these environmental variables. Data transmission and visualization are made possible by the many interconnected components of the system.

First, a temperature and humidity sensor is used to collect environmental data. The sensor transmits the data via wireless to a LoRaWAN Gateway, which serves as an access point to the communication network.

The Gateway uses a Low Power Long Range Network (LoRaWAN) protocol to receive data over long distances in an efficient manner.The Gateway sends temperature and humidity data over the network to The Things Network (TTN) server, an IoT platform that enables data and device management. And within TTN, the MQTT messaging protocol sends data to Node-RED, a stream-based visual programming tool.Node-RED processes and sends the data in an InfluxDB database.

InfluxDB is a time series database to store variables such as temperature and humidity. Finally, Grafana, a platform for data analysis and visualization, is used to display the data stored in InfluxDB. Node-RED, InfluxDB, and Grafana are mounted to a local server, in this case a Raspberry Pi acting as a server.

The results show the importance of data visualization. Temperature and humidity are monitored continuously and in real time, allowing detailed analysis of weather conditions. This is relevant to energy management and climate change because it provides useful information for decision making.