Intelligent Power Equipment Monitoring and Diagnostic Technology Based on the Internet of Things
Due to the rapid development of the economy and the increasing demand for electrici-ty in society,ensuring the safety and stability of power equipment has become a widely con-cerned issue.In order to monitor the operation of power equipment in real time and ensure the safety of electricity,this paper first constructs an intelligent power equipment status monitoring and diagnosis model,which includes an intelligent perception layer,a data communication layer,an information integration layer,and an intelligent application layer.Secondly,a new LPWAN network architecture is adopted for real-time monitoring of the power grid,and an improved Viterbi algorithm is used to accurately locate fault points and improve computation speed.Final-ly,real-time feedback of fault information based on the identified fault points enables monito-ring of power equipment and enhances its safety.According to experiments,when the data vol-ume of power networking is between 10MB and 300MB,the IoT LPWAN monitoring method increases from 45ms to 75ms,and the delay reduction is greater.The accuracy of the IoT LP-WAN monitoring method is about 10％higher than other methods,indicating that IoT related methods can improve the efficiency and accuracy of monitoring and diagnosis,ensure the stable operation of intelligent power equipment,and are suitable for monitoring power equipment.
Internet of ThingsPower equipmentMonitoring technologyDiagnostic technolo-gy
NETL
NSTL
万方数据
