Safety risks monitoring and warning throughout the full lifecycle of mine air stopping
Mine air stopping is a key facility separating production systems from abandoned ones. Ensuring full lifecycle risk management is of great significance for ensuring safe production. Based on the current status of comprehensive control technology for mine air stopping, the shortcomings of the existin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2023-06-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.18139 |
| _version_ | 1797782050812461056 |
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| author | ZHOU Fubao SHI Guoqing WANG Yanming WEI Lianjiang XIN Haihui |
| author_facet | ZHOU Fubao SHI Guoqing WANG Yanming WEI Lianjiang XIN Haihui |
| author_sort | ZHOU Fubao |
| collection | DOAJ |
| description | Mine air stopping is a key facility separating production systems from abandoned ones. Ensuring full lifecycle risk management is of great significance for ensuring safe production. Based on the current status of comprehensive control technology for mine air stopping, the shortcomings of the existing air stopping management mode are analyzed from two aspects: static attribute information management and dynamic information monitoring. The paper puts forward the concept of intelligent management and control in the full lifecycle of air stopping. It indicates the overall construction path of air stopping risk monitoring and early warning based on big data strategy of the Internet of Things (IoT)+Artificial Intelligence (AI)+Cloud Platform (CP), and integrated with cloud-edge architecture. The IoT platform is applied to access digital monitoring and linkage control equipment for air stopping units, achieving transparency in the full lifecycle control of air stopping. The method focuses on the evolution signs of air stopping information and efficient edge computing. It deploys mobile terminals, edge computers and other field terminals to adapt to online prediction and advance warning of air stopping service status. In the smart cloud, the virtual reality scenario of a distributed mine air stopping and its full lifecycle evolution characteristics are reconstructed iteratively in real time with multi-source fused information and digital twin models at the core. The paper analyzes key theories and and model construction methods, including the physical-digital driving mode of evolution information in air stopping environments, the multi-source heterogeneous data fusion model of air stopping perception information, the edge detection and hierarchical intelligent warning of air stopping anomalies, and the emergency intelligent decision-making and collaborative prevention and control throughout the entire lifecycle of air stopping. The physical and functional architecture of an air stopping full lifecycle safety risk monitoring and warning system based on the IoT is designed. The on-site embedded air stopping multi-parameter integrated monitoring sensors and supporting intelligent hosts are developed. The early sensing and monitoring and warning methods for air stopping risks are proposed to achieve digital empowerment and effectively promote the construction of smart mines. |
| first_indexed | 2024-03-13T00:05:35Z |
| format | Article |
| id | doaj.art-315215dd7beb4f679376155ea4d74a0b |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-03-13T00:05:35Z |
| publishDate | 2023-06-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-315215dd7beb4f679376155ea4d74a0b2023-07-13T03:26:24ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2023-06-01496485610.13272/j.issn.1671-251x.18139Safety risks monitoring and warning throughout the full lifecycle of mine air stoppingZHOU FubaoSHI Guoqing0WANG Yanming1WEI Lianjiang2XIN Haihui3School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaMine air stopping is a key facility separating production systems from abandoned ones. Ensuring full lifecycle risk management is of great significance for ensuring safe production. Based on the current status of comprehensive control technology for mine air stopping, the shortcomings of the existing air stopping management mode are analyzed from two aspects: static attribute information management and dynamic information monitoring. The paper puts forward the concept of intelligent management and control in the full lifecycle of air stopping. It indicates the overall construction path of air stopping risk monitoring and early warning based on big data strategy of the Internet of Things (IoT)+Artificial Intelligence (AI)+Cloud Platform (CP), and integrated with cloud-edge architecture. The IoT platform is applied to access digital monitoring and linkage control equipment for air stopping units, achieving transparency in the full lifecycle control of air stopping. The method focuses on the evolution signs of air stopping information and efficient edge computing. It deploys mobile terminals, edge computers and other field terminals to adapt to online prediction and advance warning of air stopping service status. In the smart cloud, the virtual reality scenario of a distributed mine air stopping and its full lifecycle evolution characteristics are reconstructed iteratively in real time with multi-source fused information and digital twin models at the core. The paper analyzes key theories and and model construction methods, including the physical-digital driving mode of evolution information in air stopping environments, the multi-source heterogeneous data fusion model of air stopping perception information, the edge detection and hierarchical intelligent warning of air stopping anomalies, and the emergency intelligent decision-making and collaborative prevention and control throughout the entire lifecycle of air stopping. The physical and functional architecture of an air stopping full lifecycle safety risk monitoring and warning system based on the IoT is designed. The on-site embedded air stopping multi-parameter integrated monitoring sensors and supporting intelligent hosts are developed. The early sensing and monitoring and warning methods for air stopping risks are proposed to achieve digital empowerment and effectively promote the construction of smart mines.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.18139mine air stoppingfull lifecycle managementsafety risk monitoringrisk warninginternet of thingsartificial intelligencecloud platform |
| spellingShingle | ZHOU Fubao SHI Guoqing WANG Yanming WEI Lianjiang XIN Haihui Safety risks monitoring and warning throughout the full lifecycle of mine air stopping Gong-kuang zidonghua mine air stopping full lifecycle management safety risk monitoring risk warning internet of things artificial intelligence cloud platform |
| title | Safety risks monitoring and warning throughout the full lifecycle of mine air stopping |
| title_full | Safety risks monitoring and warning throughout the full lifecycle of mine air stopping |
| title_fullStr | Safety risks monitoring and warning throughout the full lifecycle of mine air stopping |
| title_full_unstemmed | Safety risks monitoring and warning throughout the full lifecycle of mine air stopping |
| title_short | Safety risks monitoring and warning throughout the full lifecycle of mine air stopping |
| title_sort | safety risks monitoring and warning throughout the full lifecycle of mine air stopping |
| topic | mine air stopping full lifecycle management safety risk monitoring risk warning internet of things artificial intelligence cloud platform |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.18139 |
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