Optimize the early warning time of coal and gas outburst by Multi-source information fusion method during the tunneling process

2021 ◽  
Author(s):  
Bing Li ◽  
Enyuan Wang ◽  
Zheng Shang ◽  
Xiaofei Liu ◽  
Zhonghui Li ◽  
...  
Keyword(s):  
Information Fusion ◽  
Early Warning ◽  
Coal And Gas Outburst ◽  
Fusion Method ◽  
Source Information ◽  
Tunneling Process ◽  
Gas Outburst ◽  
Warning Time

scholarly journals The Research of Coal and Gas Outburst Warning Based on Logistic Regression and Geographic Information System

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bo You ◽  
Bo Li ◽  
Shi Liang Shi ◽  
He Qing Liu ◽  
Yi Lu ◽  
...  
Keyword(s):  
Information System ◽  
Logistic Regression ◽  
Geographic Information System ◽  
Early Warning ◽  
Warning System ◽  
Indicator System ◽  
Geographic Information ◽  
Coal And Gas Outburst ◽  
Gas Outburst ◽  
Early Warning Indicator

Coal and gas outburst is one of the major disasters in the safety production of coal mine. According to the mechanism of coal and gas outburst, based on the comprehensive analysis of various influencing factors of coal and gas outburst, with the principles of selected early warning indicator, the basic information database of coal and gas outburst warning is constructed, and the information data query function is realized. The mathematical model of coal and gas outburst warning is established by the logistic regression analysis based on the gas concentration, the gas desorption index of drill cuttings, and the initial velocity of gas emission from the borehole. The multivariate information coupled warning was conducted according to the selected early warning indicator system, and the early warning level was divided with the result of early warning. The design and research of the coal and gas outburst warning system are carried out based on the geographic information system (GIS). The coal and gas outburst warning system was verified by taking the Tunliu mine of Lu’an Group as an example. The establishment of the early warning system is a new technical way to the early warning management of coal and gas outburst and can provide a guarantee for coal and gas outburst prevention.

scholarly journals Leakage Detection of CFRDs Based on a Multi-source Information Fusion Method

2020 ◽  
Vol 510 ◽  
pp. 052055
Author(s):  
Jinzhang Tian ◽  
Dashui Gao ◽  
Yi Xu ◽  
Yantao Zhu ◽  
Lixian Huang
Keyword(s):  
Information Fusion ◽  
Fusion Method ◽  
Leakage Detection ◽  
Source Information

Research on Evaluation of Vehicle Dangerous Traveling State Based on Information Fusion Method

2013 ◽  
Vol 791-793 ◽  
pp. 1018-1022
Author(s):  
Peng Wang ◽  
Zhi Qiang Liu
Keyword(s):  
Information Fusion ◽  
Evaluation System ◽  
Evidence Theory ◽  
Recognition System ◽  
Fusion Method ◽  
Source Information ◽  
State Recognition ◽  
Research On Evaluation ◽  
Lane Departure ◽  
Level Information

An evaluation system of vehicle traveling state was proposed,and an unsafe vehicle traveling state recognition system was established using multi-level information fusion method. In view of the effects of the complexity of the driving environment, a variety of working conditions and the diversity of vehicle traveling characteristics, combing BP neural network with Dempster-Shafer evidence theory technique, the multi-information decision-level fusion was proposed to estimate the different kind model of the vehicle status. To verify the proposed strategies,the vehicle traveling posture evaluation system was established. The lane departure parameters and the relative distance parameters were studied in order to get the characterization of the vehicle traveling status information. The simulation results indicate that the adaptability and accuracy and the intelligence level of driving characterization estimation are significantly improved by using the pattern classification and decision technology of multi-source information fusion.

scholarly journals Construction and application of comprehensive early warning system for coal and gas outburst in Xinjing Coal Mine

2021 ◽  
Vol 329 ◽  
pp. 01016
Author(s):  
Yunlong Zou
Keyword(s):  
Real Time ◽  
Coal Mine ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Coal Industry ◽  
Coal And Gas Outburst ◽  
Mine Safety ◽  
Time Dynamic ◽  
Gas Outburst

In order to further strengthen the prevention and control of coal and gas outburst in Xinjing Coal Mine, the online comprehensive analysis and early warning index system and rules of coal and gas outburst suitable for Xinjing Coal Mine were studied. Based on the corresponding early warning computer system and guarantee mechanism, a comprehensive early warning system for coal and gas outbursts in Xinjing Coal Mine was established, realizing real-time intelligent early warning of outburst dangers in working faces. The system realizes the standardization and dynamic management of outburst prevention information at the working face, as well as the real-time dynamic update and sharing of outburst prevention information, which improves the efficiency of mine outburst prevention management and the level of mine safety. The actual application of the system in Xinjing Coal Mine shows that the system can provide an effective reference for the comprehensive early warning of outbursts in other outburst mines of Yangquan Coal Industry Group.

scholarly journals Early warning of coal and gas outburst based on abnormal gas emission

2021 ◽  
Vol 257 ◽  
pp. 03067
Author(s):  
Ming Deng
Keyword(s):  
Early Warning ◽  
Time Series Data ◽  
Coal And Gas Outburst ◽  
Series Data ◽  
Horizontal Line ◽  
Information Function ◽  
Gas Emission ◽  
Single Time ◽  
Gas Outburst ◽  
Line Diagram

Taking the dynamic time series data of gas emission in mining face as the research object, the early warning model of coal and gas outburst was established based on single-time gas emission information function. Based on the data of 21118 heading face before outburst of Panyi Mine in Huainan, the single-time gas emission information function diagram was drawn, named as G-line diagram in short. The result showed that during normal production period, the entity of G-line diagram was small, which was close to a stable horizontal line. And before the outburst, the G-line diagram showed an upward trend. The negative and positive entity of G-line diagram became larger. At the same time, there were many times positive lines in the process of rising. According to the different shape, colour, length and other characteristics of G-line diagram, the change trend of coal body state in front of working face can be judged. Based on that, the outburst symptoms in the incubation stage of coal and gas outburst can be identified, and the early warning of outburst can be realized. It is of great significance to ensure the safety of mine production.

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