Multi-sensing technology fused high-speed rail perimeter intrusion alarm front-end optimization method and system

The invention provides a multi-sensing technology fused high-speed rail perimeter intrusion alarm front-end optimization method and system, and relates to the technical field of data processing, and the method comprises the steps: delimiting high-speed rail perimeter information, determining a target region, carrying out the data sensing of the target region through multiple sensors, generating a sensing data set, and constructing a multi-scene data set. The method comprises the following steps: respectively synchronizing multiple pieces of video sensing data and multiple pieces of radar sensing data to a multi-scene data set for risk calibration, generating first intrusion risk information and second intrusion risk information, carrying out intrusion identification on a high-speed rail perimeter, judging an intrusion identification result to generate an alarm instruction, and carrying out intrusion alarm on the high-speed rail perimeter through the alarm instruction. According to the invention, the technical