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

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

Active Publication Date: 2019-10-18
XIAN UNIV OF SCI & TECH +1
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Coal spontaneous combustion risk degree multi-source information fusion early warning method
  • Coal spontaneous combustion risk degree multi-source information fusion early warning method
  • Coal spontaneous combustion risk degree multi-source information fusion early warning method

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products