A method for judging gas anomalies by using gas desorption characteristics

A desorption amount and gas technology, which is applied in the field of gas anomaly identification, can solve the problems of the method of identifying gas anomalies, the accuracy of gas concentration prediction is difficult to control, and the characteristics of gas flow are not considered.

Active Publication Date: 2022-04-29
CHINA COAL TECH & ENG GRP CHONGQING RES INST CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The defect of the time series analysis method itself is that it does not take into account the gas flow characteristics in the ventilation tunnel, and it is difficult to control the accuracy of short-term gas concentration prediction. Most of the existing methods use the time series formed by the gas monitoring data of a single monitoring point as the object of modeling. There is no method to identify gas anomalies based on gas desorption characteristics

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
  • A method for judging gas anomalies by using gas desorption characteristics
  • A method for judging gas anomalies by using gas desorption characteristics
  • A method for judging gas anomalies by using gas desorption characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0071] Embodiment: Utilize this method to the Wj10 index map of certain mine 206 driving surface figure 2 As shown, the Wj30 index map of the 206 driving face of a certain mine is as follows image 3 As shown, the actual outburst prediction index diagram for the 206 driving face of a certain mine is as follows Figure 4 As shown, the performance of the Wj10 index of the 104 working face of a certain mine is as follows Figure 5 As shown, the performance of the Wj30 index on the 104 working face of a certain mine is as follows Figure 6 As shown, the actual outburst prediction index diagram for the 104 working face of a certain mine is as follows Figure 7 shown.

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 method for judging abnormal gas by using the characteristics of gas desorption amount, belonging to the technical field of coal mine safety, including acquiring the minute average value data of gas monitoring of the jth shift; calculating the average value of the gas monitoring number of the jth shift; calculating the i minute gas K-minute moving average of the monitoring data; calculate the m-minute moving average of the i-th minute gas monitoring data; calculate the maximum value of the k-minute moving average in the jth shift; calculate the maximum value of the m-minute moving average in the jth shift; calculate The maximum gas desorption amount for k minutes in the jth shift; calculate the maximum gas desorption amount for m minutes in the jth shift; calculate the difference between the k or m minute gas desorption amount in the jth shift and the jth shift Ratio; calculate the ratio between the k-minute gas desorption amount and the m-minute gas desorption amount in the jth shift; calculate the ratio between the maximum value of the k-minute moving average and the m-minute moving average value in the jth shift; the final judgment knowledge.

Description

technical field [0001] The invention belongs to the technical field of coal mine safety, and relates to a method for judging abnormal gas by using gas desorption characteristics. Background technique [0002] Gas disaster is one of the most harmful disasters to mine production, which seriously threatens the safe production of coal mines. Mine gas monitoring is an important means of preventing gas disasters, and the processing and utilization of safety monitoring information has become a technical system for the prevention and control of gas disasters. important direction in . Important locations and areas in coal mines are the key locations for gas monitoring. The sensors continuously transmit gas monitoring data to the monitoring host with a set monitoring cycle, thus creating basic conditions for the utilization of safety information by means of big data processing. By processing a large amount of gas monitoring data to extract the law of gas gushing, and then analyze the...

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 Patents(China)
IPC IPC(8): G06F17/10G06Q10/04G06Q10/06G06Q50/02
CPCG06F17/10G06Q10/04G06Q10/06393G06Q50/02
Inventor 文光才赵旭生孙东玲邹云龙邓敢博徐雪战蒲阳刘文杰程晓阳覃木广岳俊宋志强闫凯
Owner CHINA COAL TECH & ENG GRP CHONGQING RES INST CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap