Research and Application of Power Monitoring System Based on Internet of Things

Abstract

IoT technology is widely used in various fields because of its ability to intelligently process data. The operation of power facilities is closely related to human development. Real-time monitoring of the working conditions of power equipment is conducive to timely handling of faults and greatly reduces unnecessary accidents. This article mainly designs a software monitoring platform based on the Internet of Things framework to realize data collection and processing, wireless transmission, real-time monitoring, fault alarm. In order to improve the accuracy and stability of data processing, this article applies the unscented Kalman filter algorithm to the data processing link. The visualization function of the software monitoring platform can visually present real-time data and historical trends of power equipment in the form of charts and curves providing a user-friendly interface and operating experience. Finally, the functional test was completed on the monitoring platform, which can be used in fields such as power system working status monitoring and power equipment environment monitoring.