A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China

Gas explosions and outbursts were the leading types of gas accidents in mining in China with gas concentration exceeding the threshold limit value (TLV) as the leading cause. Current research is focused mainly on using machine learning approaches for avoiding exceeding the TLV of the gas concentrati...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Robert M. X. Wu, Wanjun Yan, Zhongwu Zhang, Jinwen Gou, Jianfeng Fan, Bao Liu, Yong Shi, Bo Shen, Haijun Zhao, Yanyun Ma, Jeffrey Soar, Xiangyu Sun, Ergun Gide, Zhigang Sun, Peilin Wang, Xinxin Cui, Ya Wang
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	case study correlational research gas monitoring system machine learning warning system Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61
Acceso en línea:	https://doaj.org/article/1a9f36c461b14280ab660172c33d6b1c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1a9f36c461b14280ab660172c33d6b1c
record_format	dspace
spelling	oai:doaj.org-article:1a9f36c461b14280ab660172c33d6b1c2021-11-17T14:21:57ZA correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China1947-57051947-571310.1080/19475705.2021.2002953https://doaj.org/article/1a9f36c461b14280ab660172c33d6b1c2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/19475705.2021.2002953https://doaj.org/toc/1947-5705https://doaj.org/toc/1947-5713Gas explosions and outbursts were the leading types of gas accidents in mining in China with gas concentration exceeding the threshold limit value (TLV) as the leading cause. Current research is focused mainly on using machine learning approaches for avoiding exceeding the TLV of the gas concentration. no published reports were found in the literature of attempts to uncover the correlation between gas data and other data to predict gas concentration. This research aimed to fill this gap and develop an innovative gas warning system for increasing coal mining safety. A mixed qualitative and quantitative research methodology was adopted, including a case study and correlational research. This research found that strong correlations exist between gas, temperature, and wind. It suggests that integrating correlation analysis of data on temperature and wind into gas would improve warning systems' sensitivity and reduce the incidence of explosions and other adverse events. A Unified Modeling Language (UML) model was developed by integrating the Correlation Analysis Theoretical Framework to the existing gas monitoring system for demonstrating an innovative gas warning system. Feasibility verification studies were conducted to verify the proposed method. This informed the development of an Innovative Integrated Gas Warning System which was deployed for user acceptance testing in 2020.Robert M. X. WuWanjun YanZhongwu ZhangJinwen GouJianfeng FanBao LiuYong ShiBo ShenHaijun ZhaoYanyun MaJeffrey SoarXiangyu SunErgun GideZhigang SunPeilin WangXinxin CuiYa WangTaylor & Francis Grouparticlecase studycorrelational researchgas monitoring systemmachine learningwarning systemEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350Risk in industry. Risk managementHD61ENGeomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 3175-3204 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	case study correlational research gas monitoring system machine learning warning system Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61
spellingShingle	case study correlational research gas monitoring system machine learning warning system Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61 Robert M. X. Wu Wanjun Yan Zhongwu Zhang Jinwen Gou Jianfeng Fan Bao Liu Yong Shi Bo Shen Haijun Zhao Yanyun Ma Jeffrey Soar Xiangyu Sun Ergun Gide Zhigang Sun Peilin Wang Xinxin Cui Ya Wang A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China
description	Gas explosions and outbursts were the leading types of gas accidents in mining in China with gas concentration exceeding the threshold limit value (TLV) as the leading cause. Current research is focused mainly on using machine learning approaches for avoiding exceeding the TLV of the gas concentration. no published reports were found in the literature of attempts to uncover the correlation between gas data and other data to predict gas concentration. This research aimed to fill this gap and develop an innovative gas warning system for increasing coal mining safety. A mixed qualitative and quantitative research methodology was adopted, including a case study and correlational research. This research found that strong correlations exist between gas, temperature, and wind. It suggests that integrating correlation analysis of data on temperature and wind into gas would improve warning systems' sensitivity and reduce the incidence of explosions and other adverse events. A Unified Modeling Language (UML) model was developed by integrating the Correlation Analysis Theoretical Framework to the existing gas monitoring system for demonstrating an innovative gas warning system. Feasibility verification studies were conducted to verify the proposed method. This informed the development of an Innovative Integrated Gas Warning System which was deployed for user acceptance testing in 2020.
format	article
author	Robert M. X. Wu Wanjun Yan Zhongwu Zhang Jinwen Gou Jianfeng Fan Bao Liu Yong Shi Bo Shen Haijun Zhao Yanyun Ma Jeffrey Soar Xiangyu Sun Ergun Gide Zhigang Sun Peilin Wang Xinxin Cui Ya Wang
author_facet	Robert M. X. Wu Wanjun Yan Zhongwu Zhang Jinwen Gou Jianfeng Fan Bao Liu Yong Shi Bo Shen Haijun Zhao Yanyun Ma Jeffrey Soar Xiangyu Sun Ergun Gide Zhigang Sun Peilin Wang Xinxin Cui Ya Wang
author_sort	Robert M. X. Wu
title	A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China
title_short	A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China
title_full	A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China
title_fullStr	A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China
title_full_unstemmed	A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China
title_sort	correlational research on developing an innovative integrated gas warning system: a case study in zhongxing, china
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/1a9f36c461b14280ab660172c33d6b1c
work_keys_str_mv	AT robertmxwu acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT wanjunyan acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT zhongwuzhang acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT jinwengou acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT jianfengfan acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT baoliu acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT yongshi acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT boshen acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT haijunzhao acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT yanyunma acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT jeffreysoar acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT xiangyusun acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT ergungide acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT zhigangsun acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT peilinwang acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT xinxincui acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT yawang acorrelationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT robertmxwu correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT wanjunyan correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT zhongwuzhang correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT jinwengou correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT jianfengfan correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT baoliu correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT yongshi correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT boshen correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT haijunzhao correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT yanyunma correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT jeffreysoar correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT xiangyusun correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT ergungide correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT zhigangsun correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT peilinwang correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT xinxincui correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina AT yawang correlationalresearchondevelopinganinnovativeintegratedgaswarningsystemacasestudyinzhongxingchina
_version_	1718425466651541504

A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China

Ejemplares similares