With the deepening of the reform of power enterprises, it is imperative for the maintenance of power equipment to be replaced by conditional maintenance. Therefore, combining the advantages of the expert system and the comprehensive analysis technology of multiple fault diagnosis algorithms, an intelligent power equipment condition maintenance system is designed. The system is mainly composed of modules such as data management, status evaluation, risk assessment, fault diagnosis, monitoring and early warning, and decision-making suggestions. Each module is independent and interconnected. Secondly, combined with the information collected by the Internet of Things to determine the maintenance plan, and then introduced the application of the Internet of Things technology in the full cycle management of power equipment, and finally compared and analysed the status maintenance and general maintenance based on the Internet of Things technology.
Application of Internet of Things Technology on Predictive Maintenance System of Coal Equipment
