Abstract: Aiming at the existing problems of monitoring blind spots, excessive communication error rate, encryption delay, an average of 63 times of unplanned shutdowns and others in the power supply system of the high gas mine in Guozhuang Coal Industry, Lu'an, Shanxi Province, based on the theory of information physics system and the principle of quantum security encryption, an intelligent monitoring system that integrates IoT cloud platform is proposed. A holographic monitoring network is constructed by deploying multi-source heterogeneous sensing terminals, and a dynamic shard transmission algorithm is innovatively designed to eliminate data packet loss; The national security SM4 hardware encryption chip and ECC quantum-resistant protocol are adopted to achieve millisecond level secure transmission; A hybrid detection engine that integrates 16 dimensional feature analysis is developed to overcome the efficiency bottleneck of manual diagnosis. The application shows that: the coverage rate of monitoring blind spots is improved to 98.5%, the communication error rate is reduced to 5.6×10⁻⁶, the fault location time is shortened from 28.6 s to 5.2 s, the annual unplanned shutdowns are reduced by 82.5%, and the cost is saved by 8.2 million yuan/year, among them, the equipment maintenance cost is reduced by 24.4% and the production capacity loss is decreased by 75.6%, providing a "perception-transmission-decision" full chain solution for coal mine power supply safety under complex working conditions.