Abstract:

In order to improve the current situation of single disaster monitoring methods, weak early warning analysis capabilities, and untimely disaster disposal in mines, a single disaster classification and early warning model for gas, water, fire, roof, and dust was established based on the analysis method of formation mechanism. Through mathematical and statistical methods, the changing trends of data characteristic graphs of disaster monitoring data such as sudden changes, gradual increases, fluctuations, periodic changes, and constant changes were analyzed. Accordingly, a disaster fusion and early warning analysis plan was proposed. A disaster monitoring and early warning platform construction plan was designed. The on-site application of the platform in the Huangbaici Coal Mine of Wuhai Energy Company was analyzed from the perspectives of hardware and software deployment. The results show that the multi-disaster fusion and early warning analysis scheme based on the disaster formation mechanism and characteristic graph analysis technology can realize the disaster source tracing, correlation, and transmission analysis and improve the accuracy of early warning. The method of real-time dynamic planning of disaster avoidance routes based on tunnel parameter calculation and Dijkstra’s algorithm can improve the escape efficiency of personnel in mine disasters.

Key words: disaster monitoring, early warning analysis, linkage control, data acquisition, formation mechanism, disaster avoidance route planning