The complex structure of distribution network and the cumbersome operation procedures make it easy to cause misoperation accidents during the operation process. In response to this issue

this paper studies the research of distribution network security risk prevention and control system based on multi-source data. The overall framework of the system implementation and the specific design of each module are designed. Multiple system data from the same source system

self distribution system

and supply and service system are integrated

and real-time data processing and classification storage are adopted using a subscription message queue. Based on the integration of multi-source data from distribution network security risk prevention and control system

the random forest algorithm is used to judge the abnormal operating status. Through the actual application of a city company

the method and system are verified to meet practical needs in abnormal data detection

response speed

and misoperation prevention unlocking accuracy

thereby ensuring the safe operation of distribution network.