Method for judging burst accident in early burst happening period rapidly and predicting gas discharge scale

A technology of gas gushing and gas gushing volume, applied in the field of coal mine disaster relief, can solve problems such as unrealistic, wind disorder, damage, etc., and achieve the effect of preventing further expansion and helping with control measures

Active Publication Date: 2013-05-29
SHANDONG UNIV OF SCI & TECH
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In addition, it is difficult to quickly judge the scale of gas outburst during the outburst process. In addition to the large amount of gas gushing out, the wind flow near the outburst point is disturbed and the air volume is unstable, and the on-site equipment is seriously damaged by the gas gushing out and the thrown coal. , and the gas concentr

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
  • Method for judging burst accident in early burst happening period rapidly and predicting gas discharge scale
  • Method for judging burst accident in early burst happening period rapidly and predicting gas discharge scale
  • Method for judging burst accident in early burst happening period rapidly and predicting gas discharge scale

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0038] see figure 1 , first use the central computer (personal workstation) to establish the prediction system software and place it in the early warning server; the real-time data monitored by the underground gas concentration sensor is transmitted to the early warning server through the monitoring data communication sub-station, and the data is analyzed in the early warning server to obtain The analysis results are displayed; the analysis results are displayed on the computer terminal through the local area network, and the alarm will alarm or give corresponding prompts depending on the situation.

[0039] see figure 2 , assuming that the excavation roadway has outstanding danger, the size of the excavation roadway, the section size of the uphill section and the wind speed up the mountain are known; gas concentration sensors are arranged a...

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 discloses a method for judging a burst accident in an early burst happening period rapidly and predicting gas discharge scale. The method comprises: a system used for judging the bust accident and predicting the gas discharge scale is provided, data detected by each gas sensor in the system are transmitted to a pre-caution server in real time through a monitoring data communication branch station, analysis is conducted to the detected data by the pre-caution server, and whether burst happens or not is judged; and when a burst happens according to the judgment, prediction is conducted to gas gushing amount of the burst, burst lasting time, gas countercurrent range and the like according to data detected by a second gas sensor and a fourth gas sensor or by a predicting mold. The method can judge the burst accident rapidly in the early happening period of a coal and gas burst accident and can predict the gas gushing amount, the burst lasting time and the gas countercurrent range rapidly, and therefore further enlargement of the accident is prevented, and meanwhile the method is pretty helpful for timely rescue to the accident, accident avoiding to under well staff, control measures after the accident and the like.

Description

technical field [0001] The present invention relates to the technical field of coal mine disaster relief, in particular to a coal and gas outburst early stage that can quickly identify outburst accidents and quickly predict the amount of gas outburst, outburst duration, and gas backflow range (gas outburst scale and gas backflow range) Methods. Background technique [0002] Coal and gas outburst accidents are one of the most serious disasters in the production process of coal mines. my country is one of the countries with the most serious and harmful coal and gas outbursts in the world. During the outburst process, a large amount of pulverized coal and gas will be emitted, which can directly destroy the roadway support and facilities, damage the ventilation system, submerge personnel, and cause personnel and property losses. In addition, the protruding high-concentration gas may threaten the "safe" area under normal conditions during the process of diffusion and discharge o...

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
IPC IPC(8): E21F17/18
Inventor 程国强胡千庭赵旭升谭云亮武文宾田静萍于海峰朱学亮
Owner SHANDONG 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

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