Coal mine roadway section gas distribution detection method

Abstract

The invention discloses a coal mine tunnel section gas distribution detection method. The method comprises the following steps: 1, establishing a coal mine tunnel section gas concentration optimization calculation model; 2, acquiring simulation parameters and calculating a constant value; 3, training a neural network; 4, calculating a constant value corresponding to an actual condition in the coalmine tunnel; 5, acquiring a gas diffusion coefficient on an actual coal mine roadway section; 6, calculating coal mine tunnel section gas concentration distribution data at the current position of the coal mine inspection robot; and 7, acquiring gas concentration distribution data on different coal mine tunnel sections under the displacement path of the coal mine inspection robot. The invention aims at the space position limitation of underground coal mine gas detection. A gas diffusion theory is applied, coal mine gas environment characteristics are combined, influences of boundary conditions on a gas diffusion rule are introduced, a coal mine roadway section gas concentration optimization calculation model is constructed, environmental information such as gas concentration of any pointof a roadway section is detected through a robot, and the model is adopted for solving corresponding section gas concentration distribution.

Description

technical field [0001] The invention belongs to the technical field of detection of gas distribution in a section of a coal mine roadway, and in particular relates to a method for detecting gas distribution in a section of a coal mine roadway. Background technique [0002] The inspection of dangerous gases in the underground environment of coal mines is an important guarantee for the safe production of coal mining enterprises. There are two traditional inspection methods: manual inspection and online monitoring. Manual patrol inspection is labor-intensive and low-efficiency; the online monitoring method has high input costs, low maintenance efficiency, and small coverage area. In the current digital mine construction and people-oriented environment, the daily maintenance of coal mines is a weak link in realizing the mine's "digital, informatized, and unmanned" construction goals. The research and development of the underground dangerous gas inspection robot enables it to w...

AI Technical Summary

Problems solved by technology

Existing robots carry out dangerous gas inspections in the underground environment mainly in the sensor installation position or the gas information on the stretching route of the sampling mechanism. They fail to measure the gas concentration information at the designated location in accordance with the requirements of the "Coal Mine Safety Regulations", which cannot be effective, Comprehensively display the current space gas concentration and distribution law

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