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A Multi-source Information Fusion Early Warning Method for Coal Spontaneous Combustion Risk Degree

A technology of multi-source information fusion and danger level, which is applied in the field of multi-source information fusion early warning of coal spontaneous combustion danger level, can solve the problems of low early warning accuracy, and achieve the effects of simple implementation, extended coverage, and correction of system errors.

Active Publication Date: 2021-11-23
XIAN UNIV OF SCI & TECH +1
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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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  • A Multi-source Information Fusion Early Warning Method for Coal Spontaneous Combustion Risk Degree
  • A Multi-source Information Fusion Early Warning Method for Coal Spontaneous Combustion Risk Degree
  • A Multi-source Information Fusion Early Warning Method for Coal Spontaneous Combustion Risk Degree

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Embodiment Construction

[0050] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0051] Such as figure 1 As shown, the present invention provides a multi-source information fusion early warning system for the degree of coal spontaneous combustion hazard. The system includes three information fusion layers: parallel distributed detection data layer, information feedback fusion feature layer, and multi-source information intelligent decision-making layer.

[0052] Parallel distributed detection data layer, using the same type of sensors to collect information in a distributed manner, jointly observe the local characteristics of coal spontaneous combustion, and make local alarm decisions based on the coal spontaneous combustion index gas concentration threshold judgment standard, and the ambient temperature sensor makes a large-scale goaf Screening of high temperature early warning points, and the original information is transmitt...

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Abstract

The invention relates to a coal spontaneous combustion risk degree multi-source information fusion early warning method, which solves the problems 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. The method includes: step 1, arranging sensors; step 2, registering the sampling time of the sensors; step 3, collecting the collection values ​​z(k) of each sensor at different times; The collected value z(k) of the sensor is subjected to noise reduction processing; step 5, the actual detection data of the sensor history at the early warning point is used as the characteristic of coal spontaneous combustion, and normalized; Time; Step 7. Through the coal spontaneous combustion target early warning point obtained in step 5, and the hidden danger degree and ignition time of coal spontaneous combustion obtained in step 6, the early warning of coal spontaneous combustion risk 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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/02G06Q50/26E21F5/00E21F17/18
CPCE21F5/00E21F17/18G06Q10/04G06Q50/02G06Q50/265
Inventor 王伟峰梁策邓军陈炜乐赵佳祥姚涵文刘韩飞王志强轩晓景李钊濮明哲王涵何致涛张豪豪路翠珍
Owner XIAN UNIV OF SCI & TECH
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