Mining fire behavior early warning method and system based on multi-parameter cross-over analysis

Abstract

The invention relates to a mining fire behavior early warning method and system based on multi-parameter cross-over analysis. According to the four stages of the spontaneous combustion process of coal, that is, the eremacausis stage, the fast oxidation stage, the vigorous oxidation stage and the spontaneous combustion stage and the low-temperature oxidation experiments of different types of coal samples, the threshold values corresponding to temperature and CO concentration in each stage are determined. The temperature, CO concentration, C2H4 concentration and C2H2 concentration in a coal mine fire behavior monitoring area are collected. The collected temperature and CO concentration are compared with the threshold values in each stage, the stage of the fire behavior of the coal mine fire behavior monitoring area is judged according to the comparison result, the C2H4 concentration and the C2H2 concentration, and therefore accurate early warning in each stage of the mining fire behavior is realized. Accurate early warning of the fire behavior in each stage of the spontaneous combustion process of coal can be achieved, the problem that under the condition that the stage of spontaneous combustion is undefined, firefighting measures are taken hastily and then a gas explosion accident is caused is avoided, and great significance in prevention of coal spontaneous combustion fire disasters is achieved.

Description

technical field [0001] The invention relates to a mine fire early warning method and system based on multi-parameter cross analysis, and belongs to the technical field of mine fire monitoring. Background technique [0002] Mine fire is one of the main disasters in coal mine production, and coal natural fire is the main form of mine fire, accounting for about 90% of the total number of mine fires. Drainage technology has been vigorously promoted in the management. While the production efficiency has been greatly improved and the amount of gas gushing has been greatly reduced, it has resulted in more coal left in the goaf and serious air leakage, resulting in frequent natural fires. This year, nearly 100 coal mining faces are closed due to fires in key state-owned coal mines in my country this year, and the amount of frozen coal caused by closed working faces is more than 10 million tons each year. The working face is closed in the fire area, a large amount of coal is frozen d...

AI Technical Summary

Problems solved by technology

However, due to the impact of water gushing and dust in the coal mine, faults such as bundle pipe blockage and air leakage make the monitoring system unable to effectively detect the gas composition in the goaf

[0004] For this reason, some people proposed to realize early warning of coal spontaneous combustion process by detecting CO concentration, flue gas concentration and temperature. For example, the patent application document with application number 201510319392. CO concentration, flue gas concentration and temperature data are used to realize the early warning of coal spontaneous combustion process. Although the influence of various parameters is considered in the early warning process, this scheme can only detect whether coal spontaneous combustion, but cannot accurately monitor the fire development. In the specific stage, rashly taking fire extinguishing measures when the spontaneous combustion stage is not clear may lead to gas explosion accidents

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