Coal spontaneous combustion risk degree multi-source information fusion early warning method

Abstract

The invention relates to a coal spontaneous combustion danger degree multi-source information fusion early warning method, and solves the problems that an existing coal spontaneous combustion early warning method is low in early warning precision, and scientific decision is hard to make to obtain the spontaneous combustion position, ignition time and hidden danger degree of coal spontaneous combustion. The method comprises the following steps: step 1, arranging a sensor; : step 2, registering the sampling time of the sensor; : step 3, acquiring the acquisition value z (k) of each sensor at different moments; : step 4, performing noise reduction processing on the acquisition value z (k) of each sensor in the step 3; : step 5, taking historical actual detection data of the sensor at the early warning point as coal spontaneous combustion characteristics, and performing normalization processing; : step 6, determining the hidden danger degree and the ignition time of coal spontaneous combustion; and : step 7, through the coal spontaneous combustion target early warning point obtained in the step 5 and the coal spontaneous combustion hidden danger degree and ignition time obtained in thestep 6, early warning of the coal spontaneous combustion danger degree is completed.

Description

technical field [0001] The invention relates to the field of coal mine safety, in particular to a multi-source information fusion early warning method for coal spontaneous combustion risk degree. Background technique [0002] my country is rich in coal resources, and its coal production and consumption rank among the top in the world, accounting for more than 85% of the total domestic primary energy production and consumption. However, coal spontaneous combustion fires are very serious in my country. According to statistics, spontaneous combustion fires in coal mines in my country account for about 70% of mine fires. In some mining areas with severe spontaneous combustion, such as Chongzhou, Fushun, Hegang, Yaojie, Yima, Huainan, Liuzhi and other coal mines, spontaneous combustion accounts for 70% of mine fires. More than 90% of the times. [0003] With the increase of mine mining intensity, the range of goafs is getting larger and larger, and the air leakage channels are in...

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Problems solved by technology

[0011] The purpose of the present invention is to solve the problem that the existing coal spontaneous combustion early warning method has low early warning accuracy, and it is difficult to make scientific decisions to obtain the spontaneous combustion position, ignition time, and hidden danger degree of coal spontaneous combustion, and provide a multi-source information fusion early warning method for coal spontaneous combustion risk degree

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