Substation Fire Feature Monitoring and Early Warning Based on Multi-Sensor Collaborative Data Fusion

In order to enhance the safety management and automation operation capability of substations, a fire monitoring and early warning system based on multi-sensor collaborative data fusion is proposed. The system is equipped with various types of sensors and fire detection terminals inside and outside the substation to collect real-time information on the internal operation status and safety hazards of the substation. Through the data analysis module, multi-sensor data fusion is applied to identify, classify, and regress the collected data, extract key feature data such as surrounding environment and transformer status, and upload them to the central control system to issue warning instructions, providing intelligent security and real-time warning functions. The experimental results show that the system can efficiently collect and process substation operation information, and quickly and accurately warn of abnormal situations. The data collection and system response speed meet the practical application requirements, demonstrating excellent performance and significant application value, providing a reliable intelligent solution for the stable operation of smart substations.