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Goaf spontaneous combustion risk dynamic prediction method introducing updating factors

A dynamic prediction, goaf technology, applied in the field of coal mine safety engineering, can solve the problems of monitoring and analysis difficulties, analysis difficulties, slowness, etc.

Pending Publication Date: 2019-12-20
LIAONING TECHNICAL UNIVERSITY
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Problems solved by technology

[0003] Coal spontaneous combustion is a complex physical and chemical process, and its basic reaction mechanism and process have always been the focus of research in the field of coal mining. Usually, coal spontaneous combustion can be expressed as a slow oxidation process, and its occurrence is also under certain conditions It mainly includes: coal with smaller particles that can be oxidized under low temperature conditions, because of its larger specific surface area, its chemical activity is better; it has good ventilation to provide oxygen for the oxidation reaction; it has the ability to store reaction heat Physical conditions, but the analysis of these effects in actual engineering is relatively difficult. Some extreme conditions have brought great difficulties to monitoring and analysis. Considerable data, how to use these data to find out the relationship between coal spontaneous combustion and its influencing factors, and then predict the location where coal spontaneous combustion may occur, and finally achieve the purpose of early prevention and control, should be a problem that should be focused on research

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  • Goaf spontaneous combustion risk dynamic prediction method introducing updating factors
  • Goaf spontaneous combustion risk dynamic prediction method introducing updating factors
  • Goaf spontaneous combustion risk dynamic prediction method introducing updating factors

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Embodiment Construction

[0064] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0065] A dynamic prediction method for goaf spontaneous combustion hazards that introduces update factors, such as figure 1 shown, including the following steps:

[0066] Step 1: The individual indicators of the spontaneous combustion hazard of the test point are the degree of coal carbonization and deterioration, the temperature difference between the redox ignition point of coal, the oxygen absorption capacity of coal, the unit temperature rise rate of CO, the geological structure, the buried depth of the coal seam, the thickness of the coal seam, the inclination angle of the coal seam, the intensity of air leakage, and the air leakage Duration, surrounding rock tempera...

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Abstract

The invention provides a goaf spontaneous combustion risk dynamic prediction method introducing updating factors, and relates to the technical field of coal mine safety engineering. The invention provides a coal mine goaf residual coal spontaneous combustion risk dynamic prediction method. The goaf spontaneous combustion dynamic prediction method based on the improved CRITIC modified G2-TOPSIS ischaracterized in that the goaf spontaneous combustion dynamic prediction method based on the improved CRITIC modified G2-TOPSIS is provided for knowing the goaf residual coal spontaneous combustion risk degree, knowing the relation between residual coal spontaneous combustion and influence factors of residual coal spontaneous combustion in the working face stoping dynamic process and dynamically predicting the spontaneous combustion risk. An Euclidean distance function is introduced, an optimization decision model is established, a CRITIC weighting method is adopted to correct a G2 weighting method, the comprehensive weight of each index is calculated, and then an updating factor is introduced to obtain a dynamic weight. A G2-TOPSIS goaf spontaneous combustion dynamic evaluation model is established based on a G2 weighting method of an approximate ideal solution sorting method (TOPSIS) theory 'driving function' principle, the closeness degree is analyzed, and finally the goaf spontaneous combustion risk degree is predicted.

Description

technical field [0001] The invention relates to the technical field of coal mine safety engineering, in particular to a method for dynamically predicting spontaneous combustion hazards in goafs by introducing update factors. Background technique [0002] my country has always been a big country in coal production and use. According to statistics on the number of spontaneous combustion fires in large and medium-sized key coal mines in the country, it accounts for 90%-94% of the total number of mine fires, and the spontaneous combustion of coal left in goafs accounts for 60% of all spontaneous combustion fires. %, causing serious economic losses and casualties. [0003] Coal spontaneous combustion is a complex physical and chemical process, and its basic reaction mechanism and process have always been the focus of research in the field of coal mining. Usually, coal spontaneous combustion can be expressed as a slow oxidation process, and its occurrence is also under certain cond...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/26
CPCG06Q10/0635G06Q50/265
Inventor 贾宝山汪伟张美长宿国瑞陈健程禹熙陈佳慧付铄钦
Owner LIAONING TECHNICAL UNIVERSITY
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