Transparent monitoring system and method for mine fire

Abstract

The invention discloses a transparent monitoring system and method for a mine fire. The transparent monitoring system comprises gas, temperature and potential monitoring sensor modules, multi-point information data processing modules, a wired transmission private network, a ground expert monitoring system, a user terminal and the like. The multi-point gas, temperature and potential monitoring modules are in communication with one another to form a monitoring network. The monitoring method adopts the system, and comprises the following steps that after being processed in the first step, information acquired by the monitoring network is transmitted to the multi-point information data processing modules through a radio signal, and after being processed and gathered in the second step, the information forms an electric signal which is transmitted to the ground expert monitoring system through the wired transmission private network; and the expert monitoring system inverts the information state of the goaf according to the gas, temperature and potential multi-point information, displays the danger levels of different areas in real time, and gives out early warnings of different levels according to the danger levels. The system and method are reliable, stably provide underground omnibearing monitoring information during operation, and effectively realizes real-time monitoring of an underground monitoring area.

Description

technical field [0001] The invention belongs to the field of mine underground environment monitoring and early warning, and in particular relates to a mine fire transparent monitoring system and method. Background technique [0002] Mine fire is one of the main disasters in my country's coal mine production. Because the coal seam itself has the risk of fire, the residual coal in the goaf after mining is more likely to spontaneously ignite. Rapid and effective detection of fire sources in goafs of coal mines. [0003] On the basis of understanding the mechanism of thermodynamic disasters, developing more effective thermodynamic disaster monitoring methods is an effective means to reduce thermodynamic disasters. The monitoring methods for thermodynamic disasters in goafs mainly include temperature detection, index gas analysis, tracer gas, and odor detection. Temperature measurement is the most direct monitoring method for goaf spontaneous combustion. Sensors for temperature...

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Problems solved by technology

In addition, the spontaneous heating and combustion of coal can affect the surrounding magnetic field, electric field, optical field and thermophysical field. Therefore, there are researches and practices on the detection of thermodynamic disasters through geophysical, chemical and drilling methods, but these detection technologies are not It has not been widely used. The main problem is that the specific changes in the electric field and magnetic field of the surrounding environment caused by thermodynamic disasters are very small, and it is not enough to accurately and effectively detect the change law.

[0004] The temperature method is widely used in the monitoring of coal spontaneous combustion in goafs, but because the goafs are relatively hidden and affected by mining and roof collapse, it is basically difficult to achieve the expected results by simply wired temperature detection methods

Other non-contact temperature measurement methods can only be applied to the detection of the surface temperature of the coal wall of the roadway, and are helpless for the hidden areas in the deep and far parts of the goaf

However, there are insurmountable problems in the coal seam spontaneous combustion and thermodynamic disaster gas monitoring and early warning methods based on the bundle tube system, which are mainly manifested in: (1) The monitored gas is not in situ, so the fire source and explosion cannot be located location of occurrence; (2) only qualitative analysis can be performed on the stage of disaster occurrence; (3) real-time performance is relatively poor

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