Network Use of Lora-Based Wind Turbine Monitoring System

Abstract

This paper presents a wind turbine parameter monitoring system that uses LoRa technology to monitor the parameters like air temperature, humidity, current, voltage, and light intensity. LoRa which stands for Long Range is a communication protocol that is under the Low Power Wide Area Network(LPWAN) which emphasizes long-range, low-power, low-bit rate wireless technology. The system is designed to provide prototype data on the current state and to help optimize the performance of wind turbines. The system is based on a wireless network of sensors that are placed on the wind turbines and transmit data to a central server that incorporates the receiver.Upon receiving the data, it undergoes processing and analysis in the ThingSpeak server to gain valuable insights into the performance of the wind turbines. This analysis assists in pinpointing potential areas for enhancement. Additionally, the system incorporates an alert mechanism by the use of the Blynk IoT application server that triggers a notification when any of the parameters exceed their maximum values. This alert system serves as an early warning system, notifying relevant management persons about critical conditions and enabling prompt action to be taken