Application and Optimization of Internet of Things Technology in Condition Monitoring and Prediction of Power System Equipment
In the power industry,the application of Internet of Things technology plays an important role.This paper analyzes in detail the methods of equipment condition monitoring and fault prediction in power system,including the selection and configuration of sensors,data acquisition and transmission,data processing and characteristic extraction,and the selection and construction of prediction models.At the same time,aiming at the accuracy,protection measures and confidentiality of the algorithm,the corresponding improvement measures are put forward.
Internet of Things technologyelectric power systemequipment status detectionstate prediction