Abstract:
The project's goal is to deploy and utilize IoT technologies to monitor and troubleshoot induction motors. To ascertain what precisely is prompting the induction motor to fail, the various parameters of the induction motor are investigated. Furthermore, several studies have discovered the relationship between vibration, temperature, current, voltage, and bearing failures. Several approaches involve IoT-based instrumentation for collecting and processing the induction motor characteristics. IoT is a cloud platform, available on the web, that contains the data that has been gathered. A timely alert notification is sent if any dysfunction is found in the parameters, which saves time and money by eliminating unnecessary downtime. This project examines the advantages of this approach also. Findings show how efforts were rooted and continuously monitored equipment was developed that has access to relevant data for predictive maintenance also.
Data from industrial motors will be collected and stored in the cloud, where it will be accessible from several places through a web application, with the help of different sensors. The health of the motor may be assessed by examining the numerous researchers' collected data on various parameters in real-time. Continuous condition monitoring, prompt alerts, data storage for future use, and data monitoring from any location are all advantages of these systems. The motor's real-time condition monitoring system is always being improved. Because of the Internet of Things, data storage, retrieval, and access have all been made more user-friendly. If a motor fails due to vibration, the IoT will notify the end-user.
