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

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 si...

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Main Author: Deng Ming
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03067.pdf
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author Deng Ming
author_facet Deng Ming
author_sort Deng Ming
collection DOAJ
description 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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spelling doaj.art-17d94fc41ab74d25b97a31019cc1f9992022-12-21T22:31:33ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012570306710.1051/e3sconf/202125703067e3sconf_aesee2021_03067Early warning of coal and gas outburst based on abnormal gas emissionDeng Ming0College of Computer Science, Huainan Normal UniversityTaking 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03067.pdf
spellingShingle Deng Ming
Early warning of coal and gas outburst based on abnormal gas emission
E3S Web of Conferences
title Early warning of coal and gas outburst based on abnormal gas emission
title_full Early warning of coal and gas outburst based on abnormal gas emission
title_fullStr Early warning of coal and gas outburst based on abnormal gas emission
title_full_unstemmed Early warning of coal and gas outburst based on abnormal gas emission
title_short Early warning of coal and gas outburst based on abnormal gas emission
title_sort early warning of coal and gas outburst based on abnormal gas emission
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03067.pdf
work_keys_str_mv AT dengming earlywarningofcoalandgasoutburstbasedonabnormalgasemission