Lightning damage is one of the main factors affecting the safety of power grid operation. Due to the low insulation level of the distribution network system and generally no lightning protection wire, lightning strikes are particularly prominent. At present, as the main means of lightning protection in distribution networks, lightning arresters are widely used in distribution lines and distribution transformers. In areas where lightning activities are relatively frequent, the failure rate of arresters has remained high. Faced with the large quantity and wide distribution of arresters, it brings huge manpower and economic pressure for power outage maintenance and troubleshooting. For this reason, our company has specially developed a lightning arrester working condition Internet of Things monitoring system.

This monitoring unit has passive wireless (no external power supply, wireless transmission), low power consumption, GPS positioning, comprehensive lightning current parameter monitoring: peak value, effective value, wave head, duration, energy, frequency and other related parameters. Through the synchronous detection of time, environmental parameters, and electrical parameters of the arrester, the use of big data and neural network algorithms to effectively eliminate the impact of environmental factors such as pollution, temperature, humidity, and interphase capacitance, coupled with multiple international and industry standards such as Qrs, impact times, leakage current and other international and industry standards, it can effectively predict and judge the working conditions of the arrester, and realize the pre-judgment repair and accurate fault alarm in management.