Simulation Research on the Effectiveness of a Multiagent Mine Safety Supervision System and Its Verification

Nie, Xing Xin; Bai, Cunrui; Zhang, Jingjing

doi:10.1155/2019/8457124

Cited by 13 publications

(10 citation statements)

References 37 publications

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“…We should start from the entire safety production system of mining enterprises, analyze the "principal contradictions" that need to be overcome in safety risk management and control, perceive changes in various risks in a timely manner, and formulate measures to control risks and kill accidents in the cradle. Relying on the "Standardization of Coal Mine Safety Production Management System", "Province A Coal Industry Group 2022 Safety Work Assessment Measures" and the research results of existing scholars [4][5][6][7][8][9][10]12 , this study followed the principle of "multi-subject and multi-dimension" to determine the four subsystems related to the safety risk of enterprises, namely, government, enterprise, employee, and external factors. For the enterprise administrator and the government supervisors, multiple evaluation indexes in terms of work, pressure, and economy were determined.…”

Section: Mortality Rate Per Million Tons In 2020mentioning

confidence: 99%

“…In addition, there are a lot of interactions among the 7 categories of factors 4 , 5 . In addition, some scholars have analyzed the influence of factors such as the level of enterprise informatization 6 , employee safety management satisfaction 7 , coal mining technology 8 , and coal mine safety supervision 9 on enterprise safety risks. Ma et al 10 , 11 took government supervision as the starting point to study the relationship between government behavior and enterprise safety accidents.…”

Section: Introductionmentioning

confidence: 99%

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Multi-dimensional safety risk assessment on coal mines under the profitability dilemma

You

Yao

Song

et al. 2023

Sci Rep

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China is a major coal producer, with huge differences in coal production and safety situations between the South and the North. Taking province A as an example, its coal enterprises have low output, poor efficiency, backward equipment, and low-quality personnel. The output accounts for 0.08% of the country, and the number of deaths accounts for 2.2% of the country, the safety situation of coal enterprises in province A is severe. In order to study the safety risk situation of coal mines under difficult conditions, this paper screens 98 factor indexes including multiple subjects such as enterprise managers, front-line workers, government supervisors, external environment, work quality, stress factors, economic factors, and other dimensions. For different data, the indicator weights were calculated using triangular fuzzy number, entropy weight method, CRITIC method, and three rough set methods in a total of six methods. The comprehensive weights of the indicators were obtained using the proposed new comprehensive weight method. The current situation of safety work of four coal mining enterprises and three levels of government supervision departments was evaluated, and the evaluation results were compared with other existing data to verify the reliability of the evaluation system. The horizontal comparison of the evaluation results indicates the main problems of each subject; the longitudinal comparison points out the problems that need to be solved with the assistance of higher-level enterprises and the central government, and corresponding suggestions for coal mining enterprises and government departments are put forward to reduce the safety risks of troubled coal mining enterprises.

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Section: Mortality Rate Per Million Tons In 2020mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-dimensional safety risk assessment on coal mines under the profitability dilemma

You

Yao

Song

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…They ascertained that the advanced computational model was much better than the empirical method for estimating the ground vibration caused by blasting. Nie et al ( 103 ) established a computational mine safety supervision model based on multi-agent modeling and simulation technology and resource conservation technology. They also made suggestions to improve the mine safety supervision system and provided an improved safety management decision basis for reducing the occurrence of mine accidents.…”

Section: Literature Reviewmentioning

confidence: 99%

Influencing Factors, Formation Mechanism, and Pre-control Methods of Coal Miners′ Unsafe Behavior: A Systematic Literature Review

Yang

Wang

Zhu

et al. 2022

Front. Public Health

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Coal mine accidents are mainly caused by the unsafe behavior of workers. Studying workers' unsafe behaviors can help in regulating such behaviors and reducing the incidence of accidents. However, there is a dearth of systematic literature review in this area, which has hindered mine managers from fully understanding the unsafe behavior of workers. This study aims to address this research gap based on the literature retrieved from the Web of Science. First, a descriptive statistical analysis is conducted on the year, quantity, publications, and keywords of the literature. Second, the influencing factors, formation mechanism, and pre-control methods of coal miners' unsafe behavior are determined and discussed, and the research framework and future research directions of this study are proposed. The study results will help mine safety managers fully understand the influencing factors, formation mechanism, and pre-control methods of workers' unsafe behavior, and lay a theoretical foundation for the future research direction in this field.

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“…In order to build a mature, reliable, and effective safety risk assessment system, many scholars studied the influencing factors of all levels and dimensions from different angles. In the field of coal mine safety risk assessment, some considered the informatization level (Wu et al, 2009), and some studied and analyzed the satisfaction degree on enterprise safety management (Bao et al, 2017), human factors (Liu et al, 2018), coal mine production influencing factors , and coal mine safety supervision factors (Nie et al, 2019). With the exception of analyzing and screening the influencing factors, determining the weight according to the role and importance of each factor is also a key issue and important step in building a safety risk assessment system.…”

Section: Introductionmentioning

confidence: 99%

Investigation and application of multi-dimensional safety risk evaluation index system for coal mines in South China

You¹,

Yao

Song

et al. 2022

Preprint

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The occurrence condition of coal seam differs greatly among various regions in China. The uneven development of coal mine safety production level in the North and South China is prominent. Due to the influence of personnel, equipment, mining technology, and other factors, the mortality rate per million tons of coal mines in A province in South China is 27 times the national average level. At present, not only the common factors such as enterprise safety production and government supervision, but also the pressure of regulatory and accountability, the pressure of social stability maintenance, and the external factors such as drastic changes in coal prices, coal supply guarantee, carbon peak and carbon neutralization, have imposed a double impact on coal mining enterprises and government supervision. The situation of coal mine safety production across China is very complex. In order to scientifically figure out the safety risk situation of coal mining enterprises in special periods and special areas, this study takes government supervisors, enterprise managers, underground front-line workers, and external factors as subjects and constructs a multi-dimensional safety risk evaluation system for coal mines in terms of work quality, work pressure, and economic factors. By horizontally and longitudinally comparing the scores of different main index factors, this system can timely discover the problems and weaknesses of supervisors at different levels and managers and front-line workers of different coal mining enterprises in the same region in work quality, work pressure, and economy, which can provide specific targeted suggestions for enterprises and governments on the safety management and safety supervision. This study not only pays attention to the hidden danger screening, risk control, and other factors that can directly reduce enterprise safety risks, but also considers the impact of personnel pressure, economic factors, external environment, and policy changes on the performance of safety production responsibilities by enterprise managers, government supervisors, and enterprise front-line workers. This is an innovation of this study. Finally, based on various subjective and objective weight calculation methods, a new comprehensive weight formula is proposed.

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Simulation Research on the Effectiveness of a Multiagent Mine Safety Supervision System and Its Verification

Cited by 13 publications

References 37 publications

Multi-dimensional safety risk assessment on coal mines under the profitability dilemma

Multi-dimensional safety risk assessment on coal mines under the profitability dilemma

Influencing Factors, Formation Mechanism, and Pre-control Methods of Coal Miners′ Unsafe Behavior: A Systematic Literature Review

Investigation and application of multi-dimensional safety risk evaluation index system for coal mines in South China

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