Abstract: Power grid equipment monitoring refers to the monitoring and control of the operation status of the power grid, which is the eye for the safe and reliable operation of the power system and an important means to ensure the stability control of the power grid. At present, the monitoring of Jiaxing's main network is facing shortcomings such as a large amount of abnormal equipment information, uneven ability to analyze and handle monitoring data, and insufficient utilization of historical data resources. In order to correctly and quickly handle abnormal events, this project extracts the experience of power grid monitoring operation through information technology, conducts data mining on equipment abnormal events, uses assistant robots to learn and summarize the knowledge base of abnormal monitoring technology and typical event case library, and uses digital power to assist monitoring and command personnel in handling equipment abnormal events, improve disposal efficiency, optimize equipment abnormal disposal strategies, and achieve full process control of abnormal events.