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Sustainable Risk Management and Safety in Coal Mine
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Sustainable Risk Management and Safety in Coal Mine

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".

Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 9986

Special Issue Editors

Prof. Dr. Shuang Li

E-Mail Website
Guest Editor
Safety Science and Emergency Management Research Institute, China University of Mining and Technology, Xuzhou 221116, China
Interests: intelligent mine; safety management; emergency management; double prevention; risk prevention and control; public safety
Dr. Zhengquan Xu

E-Mail Website
Co-Guest Editor
Safety Science and Emergency Management Research Institute, China University of Mining and Technology, Xuzhou 221116, China
Interests: sustainability and safety in complex organizations

Special Issue Information

Dear Colleagues,

Coal mine safety and risk management are related to the sustainable development of energy and society. With the development of the internet of things, big data and artificial intelligence technology, the intelligent construction of coal mines have been gradually improved. It needs to be deeply explored from the perspective of theory and technology to know how to make full use of advanced technology to solve the problems of coal mine safety and risk management, making it match with the intelligent development of coal mines.

This Special Issue focuses on coal mine safety and risk management, seeking the rules of safety and risk management from the perspectives of practice, technology, and theory, exploring the development path of the industry from the perspective of enterprise management and government supervision, to provide ideas for the development of the coal mining industry, the reform of the energy structure and the sustainable development goals of global carbon emission reduction.

For this Special Issue, we invite researchers to submit original research and review articles addressing all aspects related to coal mine safety and risk management. Potential topics include but are not limited to the followings:

  1. New progress in coal mine safety risk management in China
  2. Intelligent development of coal mine safety mining
  3. Data mining and big data in sustainable risk management in coal mining
  4. Study on the safety behavior of coal mine workers
  5. Methods and efficiency of coal mine safety regulation
  6. Intelligent identification and early warning technology of coal mine risk
  7. Sustainable risk evaluation methods for coal mine
  8. Intelligent decision-making of coal mine safety and risk management
  9. Safety risk hierarchical management and control as well as hidden trouble investigation and management
  10. Progress in theoretical research on coal mine safety and risk management
  11. The application and development of artificial intelligence technology in sustainable risk management and safety in a coal mine
  12. Emergency management and decision-making of coal mine accidents

Prof. Dr. Shuang Li
Dr. Zhengquan Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent mine
  • safety management
  • emergency management
  • double prevention
  • risk prevention and control
  • public safety

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Published Papers (5 papers)

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Research

21 pages, 957 KiB  
Article
Evaluation Model Research of Coal Mine Intelligent Construction Based on FDEMATEL-ANP
by Lin He, Dongliang Yuan, Lianwei Ren, Ming Huang, Wenyu Zhang and Jie Tan
Sustainability 2023, 15(3), 2238; https://doi.org/10.3390/su15032238 - 25 Jan 2023
Cited by 5 | Viewed by 2648
Abstract
To improve intelligent construction standard systems in coal mines, we must promote the high-quality development of the coal mining industry. The current intelligent construction of coal mines is inefficient. Considering the complexity and diversity of coal mine intelligent construction index factors, this paper [...] Read more.
To improve intelligent construction standard systems in coal mines, we must promote the high-quality development of the coal mining industry. The current intelligent construction of coal mines is inefficient. Considering the complexity and diversity of coal mine intelligent construction index factors, this paper proposes an intelligent coal mine construction evaluation model that integrates the fuzzy decision-making trial and evaluation laboratory (FDEMATEL) and the analytical network process (ANP). Firstly, the evaluation index system is established based on the intelligent construction of coal mines. Secondly, the FDEMATEL is applied to deal with the fuzziness in the evaluation process and determine the influence relationship between the evaluation indexes of coal mine intelligent construction to draw the ANP network structure diagram. Finally, super decision software is used to calculate the weight of coal mine intelligent construction evaluation indexes, and then obtain the combination weight and correlation degree of each evaluation index. By applying the evaluation model to conduct a comprehensive evaluation of coal mine intelligent construction, the results show that there is a significant correlation between the indexes affecting the intelligent construction of coal mines. Basic platform intelligence and safety monitoring intelligence are the two most important aspects of intelligent coal mine construction. Database construction, mobile internet construction, big data support, and model algorithm support are the key indexes affecting the intelligent construction of coal mines. Full article
(This article belongs to the Special Issue Sustainable Risk Management and Safety in Coal Mine)
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13 pages, 1311 KiB  
Article
Evaluation Cloud Model of Spontaneous Combustion Fire Risk in Coal Mines by Fusing Interval Gray Number and DEMATEL
by Kun Xu, Shuang Li, Jiao Liu, Cheng Lu, Guangzhe Xue, Zhengquan Xu and Chao He
Sustainability 2022, 14(23), 15585; https://doi.org/10.3390/su142315585 - 23 Nov 2022
Cited by 5 | Viewed by 1435
Abstract
Coal still occupies a key position in China’s energy consumption structure, and ensuring safe production in coal mines is a key focus for ensuring energy security. Spontaneous combustion fires in coal mines are a serious threat to the sustainability of safe production in [...] Read more.
Coal still occupies a key position in China’s energy consumption structure, and ensuring safe production in coal mines is a key focus for ensuring energy security. Spontaneous combustion fires in coal mines are a serious threat to the sustainability of safe production in coal mines. In order to prevent coal mine fire risk scientifically and effectively and to assess the level of disaster risk effectively and rationally, a study was conducted on the risk of spontaneous combustion fires in underground coal mines. An evaluation cloud model of spontaneous combustion fire risk in coal mines integrating the interval gray number with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) was established. Seventeen representative risk evaluation indicators were selected, and a coal mine spontaneous combustion fire risk evaluation index system was constructed based on four aspects: personnel, machinery, environment, and management. The interval gray number theory was introduced to improve the classical DEMATEL analysis method, which fully expresses the expert empirical knowledge and solves the problem of ambiguity and randomness in the semantic expression of expert evaluation. The relative importance of each indicator was determined by analyzing the influence relationships between risk evaluation indicators through the improved DEMATEL. A cloud model capable of transforming quantitative descriptions and qualitative concepts was used for comprehensive evaluation of risk, and based on the results of DEMATEL analysis, a comprehensive evaluation cloud model of coal mine spontaneous combustion fire risk was formed. Finally, the validity and practicality of the model were verified by using a mine in Shenmu City, Shaanxi Province, China as an example. This study provides a powerful tool to prevent spontaneous combustion fires in coal mines and makes a positive contribution to the sustainable development of coal mine safety management. Full article
(This article belongs to the Special Issue Sustainable Risk Management and Safety in Coal Mine)
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13 pages, 1577 KiB  
Article
Coal Mine Safety Accidents, Environmental Regulation and Economic Development—An Empirical Study of PVAR Based on Ten Major Coal Provinces in China
by Cheng Lu, Shuang Li, Kun Xu and Jiao Liu
Sustainability 2022, 14(21), 14334; https://doi.org/10.3390/su142114334 - 2 Nov 2022
Cited by 6 | Viewed by 1751
Abstract
Based on the PVAR model and taking the data of 10 major coal provinces in China from 2011 to 2020 as an example, the dynamic relationship between coal mine accidents, environmental regulation and economic development is analyzed at the provincial level. Research findings [...] Read more.
Based on the PVAR model and taking the data of 10 major coal provinces in China from 2011 to 2020 as an example, the dynamic relationship between coal mine accidents, environmental regulation and economic development is analyzed at the provincial level. Research findings include: (1) From the static relationship between coal mine accidents, environmental regulation and economic development in China’s ten major coal provinces, coal mine accidents promote environmental regulation; environmental regulation inhibits coal mine accidents; economic development strongly promotes environmental regulation; environmental regulation has a weak inhibitory effect on economic development; coal mine accidents slightly inhibit economic development; economic development strongly inhibits coal mine accidents. (2) From the dynamic relationship between coal mine accidents, environmental regulation and economic development in China’s ten major coal provinces, there is a strong dynamic response relationship between environmental regulation and coal mine accidents. The impact of environmental regulation on coal mine accidents shows a decreasing volatility trend, and the impact of coal mine accidents on environmental regulation shows a rising volatility trend. There is a short-term positive interaction between economic development and environmental regulation, but the interaction response relationship between them decreases with time. Economic development has a long-term inhibitory effect on coal mine accidents, while the negative impact of coal mine accidents on economic development has gradually decreased to 0. Full article
(This article belongs to the Special Issue Sustainable Risk Management and Safety in Coal Mine)
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14 pages, 983 KiB  
Article
Could the Management System of Safety Partnership Change Miners’ Unsafe Behavior?
by Jiao Liu, Shuang Li, Weijun Bao and Kun Xu
Sustainability 2022, 14(20), 13618; https://doi.org/10.3390/su142013618 - 20 Oct 2022
Cited by 3 | Viewed by 1522
Abstract
This paper analyzes the management system of safety partnership in coal mining enterprises through the methods of evolutionary game and optimized behavioral propagation of SEIR, considering the miners’ benefits and losses, as well as the influencing factors from miners and enterprises. It is [...] Read more.
This paper analyzes the management system of safety partnership in coal mining enterprises through the methods of evolutionary game and optimized behavioral propagation of SEIR, considering the miners’ benefits and losses, as well as the influencing factors from miners and enterprises. It is found that, under the influence of the management system of safety partnership within miners, after the evolutionary game between miner partners, the behavioral strategies and personal benefits of the two miners are both consistent. Moreover, the benefits of individual miner and overall benefits of two miner partners, will affect the miners’ choice of safe behavioral strategies, as a result of which, the coal mines could improve the miners’ benefits through the management system of safety partnership to stimulate the implementation of miners’ safe behavior. Additionally, under the incentive of the management system of the safety partnership, the number of miners implementing unsafe behavior is decreasing, while the number of miners who are not easily affected by unsafe behavior is increasing. When the rewards and punishments of miners are strengthened, the propagation of miners’ safe behavior is accelerated. Finally, the propagation of miners’ safe behavior has a certain spillover effect within a certain range. The results of this paper provide a theoretical basis for the implementation of the management system of safety partnership in coal mining enterprises, which helps enterprises in guiding miners to take up safe behavior, which is better for enterprises’ safe development. Full article
(This article belongs to the Special Issue Sustainable Risk Management and Safety in Coal Mine)
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14 pages, 4848 KiB  
Article
Safety Warning of Mine Conveyor Belt Based on Binocular Vision
by Lei Zhang, Shangkai Hao, Haosheng Wang, Bin Wang, Jiangong Lin, Yiping Sui and Chao Gu
Sustainability 2022, 14(20), 13276; https://doi.org/10.3390/su142013276 - 15 Oct 2022
Cited by 10 | Viewed by 1817
Abstract
For the wear and damage to mine conveyor belts by foreign materials, such as large materials, this paper designs a volume measurement method for large materials based on binocular vision by the volume measurement of the large material inon the conveyor belt, provides [...] Read more.
For the wear and damage to mine conveyor belts by foreign materials, such as large materials, this paper designs a volume measurement method for large materials based on binocular vision by the volume measurement of the large material inon the conveyor belt, provides safety-warning data of over-volume limits for mine conveyor belts, and prevents damage to the mine conveyor belts. In this design, first, by obtaining the binocular camera parameters to improve the image-edge information, images taken with a binocular camera were then aligned by the Bouguet stereo correction algorithm. Finally, the disparity map was calculated by the semi-global-block matching (SGBM) stereo matching, and to get the target 3D coordinates, volume measurements were performed by the micrometric method. The study shows that the experimental error remains at about 5.65%, which provides a low-cost measurement method for raw-coal-volume measurement of the well industry and coal-mine belt conveyor. Full article
(This article belongs to the Special Issue Sustainable Risk Management and Safety in Coal Mine)
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