Design and Research on Automatic Diagnosis System for Low-Voltage Electricity Anomaly Based on IoT Technology
The automatic judgment system for abnormal low-voltage electricity is crucial for ensuring the quality of electricity consumption and is the core support for enhancing electricity safety.In order to accurately identify abnormal electricity data and reduce the burden on staff,this paper relies on Internet of Things technology to design a low-voltage electricity abnormal automatic judgment system,specifically used to analyze common low-voltage electricity abnormal situations.After experimental verification,the system can quickly and accurately detect abnormal situations in residential electricity consumption,significantly improving the accuracy of judging abnormal electricity data.The results show that the system can also provide valuable references for maintenance work,thereby improving the service level of power supply enterprises.
IoTlow-voltage power gridintelligent systemssafe electricity usage
NETL
NSTL
万方数据
