Platform Overview
As the top-level supervision and intelligent decision-making core for fire risks in the entire mine, this platform has built an integrated comprehensive fire prevention and control system that covers internal and external cause fires in the mine, as well as all scenarios and the entire process.
Through a multi-source data fusion gateway, it realizes multi-system access, full-domain perception of fire risks and panoramic situation presentation. Relying on big data analysis, it completes cross-validation of multi-source information, accurate risk identification and intelligent deduction, and supports advanced hierarchical early warning. Based on the expert knowledge base, it generates differentiated prevention and control strategies, realizing the full-process closed-loop management of “early detection, accurate judgment, rapid response, and strong disposal”. Finally, it forms a proactive mine fire prevention and control system integrating comprehensive perception, intelligent judgment, hierarchical early warning and linked disposal, comprehensively improving the mine’s fire prevention and control and emergency response capabilities.

Platform Architecture

Core Features
(1) Global Integration and Integrated Perception
The system breaks the “information silos” between traditional subsystems. Through a multi-source heterogeneous data fusion gateway, it integrates the integrated monitoring and unified management of beam tube monitoring, optical fiber temperature measurement, and regional fire prevention and control risks, thus building a comprehensive perception neural network.
(2) Intelligent Judgment and Accurate Early Warning
Relying on the big data analysis platform and neural network algorithms, the system can perform cross-validation and intelligent analysis on massive multi-source data, realizing dynamic assessment of fire risks, advanced prediction and accurate identification of risk types. On this basis, it conducts hierarchical and classified early warning, thus achieving the goal of “early detection and accurate judgment” and transforming risk management and control from passive response to active early warning.
(3) Decision Support and Closed-Loop Disposal
The system has a built-in expert knowledge base. Based on the risk situation of real-time judgment, it can automatically generate differentiated, scientific and efficient prevention and control strategies, and link with execution units (such as automatically activating nitrogen injection, sprinkler, dry powder and other fire-extinguishing facilities). This forms a full-process intelligent closed-loop management and control from “detection-judgment-response-disposal”, which greatly improves the emergency response speed and disposal effect (“rapid response and strong disposal”).
(4) Panoramic Visualization and Collaborative Linkage
The system has built a mine fire prevention and control system with panoramic visualization and collaborative linkage. By integrating the data collected by equipment in the mine environment, the overall underground situation can be viewed at a glance on a single map in the command center. Based on the panoramic view and data analysis, the system can significantly improve the efficiency of emergency handling and safety support capabilities.