Research on intelligent hazard early warning architecture and key technologies for coal mine

The monitoring alarming or early warning of five major hazards in coal mines are initially achieved in China. The hazards include gas, fire, water damage, roof and dust. However, the level of intelligence is relatively low, and it does not have the capability to self-analyzing and making decisions....

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Published in:Gong-kuang zidonghua
Main Authors: DING Zhen, LI Haodang, ZHANG Qinghua
Format: Article
Language:Chinese
Published: Editorial Department of Industry and Mine Automation 2023-04-01
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022090016
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author DING Zhen
LI Haodang
ZHANG Qinghua
author_facet DING Zhen
LI Haodang
ZHANG Qinghua
author_sort DING Zhen
collection DOAJ
container_title Gong-kuang zidonghua
description The monitoring alarming or early warning of five major hazards in coal mines are initially achieved in China. The hazards include gas, fire, water damage, roof and dust. However, the level of intelligence is relatively low, and it does not have the capability to self-analyzing and making decisions. Under the framework of the concept of intelligent mines, the connotation of intelligent hazard early warning for coal mine is elaborated. The four features of intelligent hazard early warning are proposed: accurate perception data, intelligent early warning models, collaborative early warning and hazard prevention, and efficient emergency decision-making. The overall architecture of intelligent hazard early warning for coal mine is designed. It consists of four layers: perception control layer, transmission layer, storage analysis layer, and application layer. It can achieve intelligent early warning and control of various hazards. It adopts the data processing principles of unified standards, unified collection, unified storage, unified analysis, and unified presentation. It can achieve multi-source heterogeneous data sharing and deep mining utilization for intelligent hazard early warning, so as to solve problems such as isolated data island and data chimney. Based on the overall architecture of intelligent hazard early warning for coal mine, an intelligent hazard early warning business process has been designed to provide reference for intelligent hazard early warning design. The key technologies of intelligent hazard early warning of coal mine are summarized. The key technologies include precise monitoring and early warning of gas, fire, water damage, roof and dust, and intelligent hazard fusion early warning technology. The difficulties and development directions of each key technology are analyzed. Taking intelligent hazard early warning platform of Qinglongsi Coal Mine as an example, the application effects of intelligent hazard early warning technology in monitoring, hazard early warning, emergency rescue and hierarchical control are demonstrated. It is proposed to conduct in-depth research on precise hazard perception technology and equipment, multi field coupling hazard mechanism, and self-learning and adaptive technology of warning models to achieve intelligent hazard early warning in advanced stages.
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spelling doaj-art-b1590d330c724cb2ab2eb9886aee15c32025-08-19T21:31:37ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2023-04-01494152210.13272/j.issn.1671-251x.2022090016Research on intelligent hazard early warning architecture and key technologies for coal mineDING Zhen0LI Haodang1ZHANG Qinghua2Coal and Transportation Industry Management Department, CHN Energy, Beijing 100013, ChinaCoal and Transportation Industry Management Department, CHN Energy, Beijing 100013, ChinaCCTEG Chongqing Research Institute, Chongqing 400037, ChinaThe monitoring alarming or early warning of five major hazards in coal mines are initially achieved in China. The hazards include gas, fire, water damage, roof and dust. However, the level of intelligence is relatively low, and it does not have the capability to self-analyzing and making decisions. Under the framework of the concept of intelligent mines, the connotation of intelligent hazard early warning for coal mine is elaborated. The four features of intelligent hazard early warning are proposed: accurate perception data, intelligent early warning models, collaborative early warning and hazard prevention, and efficient emergency decision-making. The overall architecture of intelligent hazard early warning for coal mine is designed. It consists of four layers: perception control layer, transmission layer, storage analysis layer, and application layer. It can achieve intelligent early warning and control of various hazards. It adopts the data processing principles of unified standards, unified collection, unified storage, unified analysis, and unified presentation. It can achieve multi-source heterogeneous data sharing and deep mining utilization for intelligent hazard early warning, so as to solve problems such as isolated data island and data chimney. Based on the overall architecture of intelligent hazard early warning for coal mine, an intelligent hazard early warning business process has been designed to provide reference for intelligent hazard early warning design. The key technologies of intelligent hazard early warning of coal mine are summarized. The key technologies include precise monitoring and early warning of gas, fire, water damage, roof and dust, and intelligent hazard fusion early warning technology. The difficulties and development directions of each key technology are analyzed. Taking intelligent hazard early warning platform of Qinglongsi Coal Mine as an example, the application effects of intelligent hazard early warning technology in monitoring, hazard early warning, emergency rescue and hierarchical control are demonstrated. It is proposed to conduct in-depth research on precise hazard perception technology and equipment, multi field coupling hazard mechanism, and self-learning and adaptive technology of warning models to achieve intelligent hazard early warning in advanced stages.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022090016intelligent mineintelligent hazard early warninghazard fusion early warningprecise hazard perceptionmulti field coupling hazard mechanismself-learning of early warning modelscollaborative control
spellingShingle DING Zhen
LI Haodang
ZHANG Qinghua
Research on intelligent hazard early warning architecture and key technologies for coal mine
intelligent mine
intelligent hazard early warning
hazard fusion early warning
precise hazard perception
multi field coupling hazard mechanism
self-learning of early warning models
collaborative control
title Research on intelligent hazard early warning architecture and key technologies for coal mine
title_full Research on intelligent hazard early warning architecture and key technologies for coal mine
title_fullStr Research on intelligent hazard early warning architecture and key technologies for coal mine
title_full_unstemmed Research on intelligent hazard early warning architecture and key technologies for coal mine
title_short Research on intelligent hazard early warning architecture and key technologies for coal mine
title_sort research on intelligent hazard early warning architecture and key technologies for coal mine
topic intelligent mine
intelligent hazard early warning
hazard fusion early warning
precise hazard perception
multi field coupling hazard mechanism
self-learning of early warning models
collaborative control
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022090016
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AT lihaodang researchonintelligenthazardearlywarningarchitectureandkeytechnologiesforcoalmine
AT zhangqinghua researchonintelligenthazardearlywarningarchitectureandkeytechnologiesforcoalmine