Coal Mine Safety Supervision Research Articles

Research on “multi-blind” working mechanism of Internet+ coal mine safety supervision

PurposeEffective safety supervision plays a crucial role in ensuring safe production within coal mines. Conventional coal mine safety supervision (CMSS) in China has suffered from the problems of power-seeking, excessive resource consumption and poor timeliness. This paper aims to explore the Internet+ CMSS mode being emerged in China.Design/methodology/approachThe evolution of CMSS systems underwent comprehensive scrutiny through a blend of qualitative and quantitative approaches. First, evolutionary game theory was used to analyze the necessity of incorporating Internet+ technology. Second, a system dynamics model of Internet+ CMSS was crafted, encompassing a system flow diagram and equations for various variables. The model was subsequently simulated by taking the W coal mine in Shanxi Province as a representative case study.FindingsIt was revealed that the expected safety profit from the Internet+ mode is 296.03% more than that from the conventional mode. The precise dissemination of law enforcement information was identified as a pivotal approach through which the Internet+ platform served as a conduit to foster synergistic collaboration among diverse elements within the system.Practical implicationsThe outcomes of this study not only raise awareness about the potential of Internet+ technology in safety supervision but also establish a vital theoretical foundation for enhancing the efficacy of the Internet+ CMSS mode. The significance of these findings extends to fostering the wholesome and sustainable progress of the coal mining industry.Originality/valueThis research stands out as one of the limited studies that delve into the influence of Internet+ technology on CMSS. Building upon the pivotal approach identified, to the best of authors’ knowledge, a novel “multi-blind” working mechanism for Internet+ CMSS is introduced for the first time.

Comparative analysis of domestic and foreign coal mine safety supervision modes based on knowledge map.

In order to grasp the research status and hot frontier of coal mine safety supervision mode in the world in the past 40years, this paper takes the relevant literature in the field of "coal mine safety" and "supervision" included in the core collection of Web of Science (WOS) and the core journals of CNKI as the data source; based on the methods of statistical analysis and bibliometrics, the visualization analysis software CiteSpace is used to draw the map of scientific knowledge. Through the visualization analysis of the main research institutions, countries, and authors in this field, the main research forces and the distribution of researchers in this field are described. Through the visualization analysis of key words and research clustering, the research hotspots and future development trends in this field are described. The results show that the research hotspots of coal mine safety supervision mode at home and abroad are roughly the same, and the researchers and institutions in this field still need to further carry out cross regional and cross departmental wide area cooperation.

Forecasting law enforcement frequency of internet+ coal mine safety supervision

PurposeCoal is the basic energy and essential resource in China, which is crucial to the economic lifeline and energy security of the country. Coal mining has been ever exposed to potential safety risks owing to the complex geologic environment. Effective safety supervision is a vital guarantee for safe production in coal mines. This paper aims to explore the impacts of the internet+ coal mine safety supervision (CMSS) mode that is being emerged in China.Design/methodology/approachIn this study, the key factors influencing CMSS are identified by social network analysis. They are used to develop a multiple linear regression model of law enforcement frequency for conventional CMSS mode, which is then modified by an analytical hierarchy process to predict the law enforcement frequency of internet+ CMSS mode.FindingsThe regression model demonstrated high accuracy and reliability in predicting law enforcement frequency. Comparative analysis revealed that the law enforcement frequency in the internet+ mode was approximately 40% lower than the conventional mode. This reduction suggests a potential improvement in cost-efficiency, and the difference is expected to become even more significant with an increase in law enforcement frequency.Originality/valueTo the best of the authors’ knowledge, this is one of the few available pieces of research which explore the cost-efficiency of CMSS by forecasting law enforcement frequency. The study results provide a theoretical basis for promoting the internet+ CMSS mode to realize the healthy and sustainable development of the coal mining industry.

Development, effectiveness, and deficiency of China's Coal Mine Safety Supervision System

Coal mine safety is closely related to the stable development of China's economy. Coal mine safety supervision system provides a powerful guarantee of coal mine safety. A comprehensive review of the reform process of China's coal mine safety supervision system is important for exploring its impact on coal mine safety production. This study focuses on the reform process of China's coal mine safety supervision system from the establishment of the State Administration of Coal Mine Safety (SACMS, later renamed the National Mine Safety Administration (NMSA) in 2020) in 1999–2022. The safety status and safety supervision systems of the coal mining industry and the construction industry are compared to verify the importance of the establishment of the SACMS. It is found that the coal mine safety status has improved significantly, and the number of fatalities has decreased steadily, which is in sharp contrast with the accident trend in the construction industry. Finally, this study compared the coal mine safety status between the United States and China. Results show that there is still a gap between the two countries in coal mine safety levels. Coal mine geological conditions, coal mining technology, safety training, and coal mine safety supervision forces are the influencing factors of coal mine safety. Based on the advanced experience of the United States, this research puts forward suggestions for China's safety supervision. In addition, the law enforcement activities of the NMSA are also reflected in this study. The outcomes are significant for understanding the containment effect of coal mine safety supervision on coal mine accidents. Besides, the research also provides professional materials for coal mine enterprises and other production industries, which is conducive to promoting the safe production of various industries to a certain extent.

Data as evidence: Research on the influencing factors and mechanisms of coal mine safety supervision effect in China

Coal mine safety supervision is an important way to ensure the safe production of coal enterprises. Most of the existing researches focus only on the impact of single or a few combination factors among "country supervision, local inspection, social monitoring, enterprise responsibility and miners' own factors" on the coal mine safety supervision effect, and lack quantitative comparative research on the factors regulation effect. Considering these, this paper creatively explores the relative importance and interaction mechanism of the above five factors on the coal mine safety supervision effect from an overall perspective. Based on the scale design and questionnaire survey, this paper uses the data-driven multivariate statistical analysis to construct a second-order confirmatory factor analysis model (CFA) and a structural equation model (SEM) of influencing factors. The results show the following: ①Among the three main potential variables that affecting the coal mine safety supervision effect, local inspection has the greatest impact, followed by country supervision and social monitoring. Through in-depth analysis, these observation variables are the key elements influencing supervision effect, such as the discipline integrity of local inspection authorities, the comprehensive quality of local inspection teams, the fulfilment degree of country supervision responsibilities, the authority of country supervision on administrative enforcement, and the transparency and timeliness of information disclosure in accident investigations. ②Country supervision has a significant positive impact on local inspection and enterprise responsibility. Local inspection has a significant positive impact on enterprise responsibility. Social monitoring has a direct or indirect positive impact on enterprise responsibility. Enterprise responsibility has a significant positive impact on miners' own factors.

Autonomous rectification behavior of coal mine safety hazards under a gambling mind: From an evolutionary game perspective

Safety supervision is an important approach for urging coal mining enterprises to ensure safe production. However, in the face of safety supervision, different interests have a gambling mind for their own benefit, which leads to a loss of risk identification. Moreover, the literature on the analysis of coal mine safety supervision through game methods mainly focuses on how to improve the intensity of supervision. Additionally, research on evolutionary game analysis that considers a gambling mind and research that distinguishes between levels of supervisory intensity are lacking. Therefore, this paper takes the main stakeholders involved in the mine safety supervision, namely, the government supervision departments and the coal mining enterprises as research objects. An evolutionary game model is established. The gambling mind, supervisory intensity, joint liability and other factors are considered in the proposed model. Moreover, this paper also conducts a numerical simulation of the evolutionary game model to analyze the stability of stakeholder interactions and to propose methods for coal mine safety supervision procedures based on the analytical results. The simulation results show that improving the risk identification ability of coal mining enterprises is the key factor for urging coal mining enterprises to take the initiative to rectify safety hazards and avoid accidents. Increasing the frequency of supervision without increasing the penalties can also make the system stable in the optimal state for a long period of time. Increasing joint liability is not conducive to the game system maintaining stability, and has no impact on the supervisory efficiency of government supervision departments. The research results hold great theoretical and practical significance for improving the safety and process management of coal mining enterprises.

Study on Prediction of Outburst Risk of Excavation Face by Initial Gas Emission

In order to improve the accuracy of coal and gas outburst risk prediction for an excavation face, an outburst equilibrium equation for the excavation face was established based on the Mohr–Coulomb criterion to predict the coal and gas outburst risk for the excavation face. The numerical model was established using the COMSOL Multiphysics simulation software to explore the relationship between the initial gas emissions from the borehole and the gas pressure. Using a ZTL20/1000-Z mine flameproof prediction device, taking excavation face 9301 in the Anshun Coal Mine in Guizhou Province, China, as the research object, and taking the detailed regulations for prevention and control of coal and gas outburst promulgated by the China Coal Mine Safety Supervision Bureau in 2019 as the prediction standard for coal and gas outbursts, an experiment on the outburst risk prediction for the excavation face was conducted. The results show that the gas pressure measured in the borehole is positively correlated with the initial gas emissions, and the initial gas flow can be used as a sensitive index to predict the outburst risk of the excavation face. The initial gas flow increases as the borehole depth increases, and it tends to be stable in the later stage. The initial borehole gas flow can not only reflect the outburst risk but also reveal the possible location of the outburst, which has obvious advantages over other outburst prediction indexes.

Development, Effectiveness, and Deficiency of China's Coal Mine Safety Supervision System

Development, Effectiveness, and Deficiency of China's Coal Mine Safety Supervision System

Research on “Internet+” third-party participation model and method of coal mine safety supervision

ABSTRACT Coal mine safety supervision is essential in the production of coal. In the current “national monitoring, local supervision, enterprise responsibility” model of coal mine safety supervision, the third party is relatively less involved. Based on the “Internet+” technology, the introduction of third-party participation in the coal mine safety supervision can partly address the issue of government power-seeking and insufficient public participation in the supervision. To address this issue, in this paper we establish the “Internet+” third-party participation model of the coal mine safety supervision based on the multi-party game theory. Using MATLAB simulations, we also show that third-party participation in the coal mine safety supervision improves the safety of the enterprise, then increases the average profit of coal mining enterprises by nearly 229.3%. It further improves the level of coal mine safety production. This confirms that the third party must participate in the coal mine safety supervision. We further analyze the possible ways the third party can participate in the coal mine safety supervision. The “Internet +” coal mine safety supervision information platform is then designed to process the information of different groups in the third party. We also discuss the application and prospect of third-party participation in the coal mine safety supervision. This study provides theoretical support for the third-party’s participation in the “Internet+” coal mine safety supervision.

The development of the online detection network system of coal mine safety instrument and meter

As the main equipment that directly reflects the concentration of various flammable, explosive, toxic and harmful gases in the working environment of mines, the coal mine gas sensors are widely used in coal mine safety monitoring and supervision systems. However, these sensors cannot accurately display the concentration of the detected gas due to problems such as zero and span drift of the catalytic element. Therefore, regular testing is required according to coal mine safety regulations. In this paper, the network system of coal mine safety instrument testing center is designed, and a network on-line testing system of coal mine safety instrument’s input, inspection, output, certification and finance is established, which integrates the network server, company LAN, upper computer automatic analysis, lower computer real-time processing and takes barcode as the identification. It realizes the network operation of sensor storage, waiting for inspection, verification, sending and achieves the goal of improving efficiency and reducing labor intensity.

Signal Game Analysis on the Effectiveness of Coal Mine Safety Supervision Based on the Affective Events Theory

The main cause of coal mine safety accidents is the unsafe behavior of miners who are affected by their emotional state. Therefore, the implementation of effective emotional supervision is important for achieving the sustainable development of coal mining enterprises in China. Assuming rational players, a signaling game between miners (emotion-driven and judgement-driven) and managers is established from the perspective of Affective Events Theory in order to examine the impact of managers’ emotions on coal miners’ behavior; it analyzes the players’ strategy selections as well as the factors influencing the equilibrium states. The results show that the safety risk deposits paid by managers and the costs of emotion-driven miners disguising any negative emotions affect equilibrium. Under the separating equilibrium state, the emotional supervision system faces “the paradox of almost totally safe systems” and will be broken; the emotion-driven miners disguising any negative emotions will be permitted to work in the coal mine, creating a safety risk. Under the pooling equilibrium state, strong economic constraints, such as setting suitable safety risk deposits, may achieve effective emotional supervision of the miners, reducing the safety risk. The results are verified against a case study of the China Pingmei Shenma Group. Therefore, setting a suitable safety risk deposit to improve emotional supervision and creating punitive measures to prevent miners from disguising any negative emotions can reduce the number of coal mine safety accidents in China.

Practice of Cloud Computing in Coal Mine Safety Production

With China’s entering the information age, science and technology have entered all aspects of our lives. However, from the perspective of the current coal industry, there are still problems in the safety supervision system, such as the scarcity of personnel, heavy workload and low level of information, which have been unable to adapt to the continuous development of the current society. Based on the above background, the purpose of this paper is to study the application of cloud computing in coal mine safety production. This paper is based on the network technology platform and the SaaS architecture of management. It uses the mode of centralized management and distributed processing to form an integrated coal mine safety supervision information system, so as to solve the safety problems in coal mines. This paper provides a complete and feasible scheme for coal mine safety production monitoring. At the same time, the platform itself is a general monitoring platform with excellent expansibility. Wireless sensor network can carry a variety of different sensors, realize more monitoring functions, access server can realize a variety of access means, which is conducive to the transparency and standardization of coal mine production information. All of these are conducive to strengthening our country. At present, the coal mine production monitoring level, the monitoring platform has a wide range of application prospects.

Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management

In this paper, we try to find the right control method for the game behavior instability in coal mine safety management. Through the analysis and comparison of the system stability with inflexible and flexible costs and penalties, it can be concluded that the dynamical game system with flexible costs (incentive rewards) and flexible penalty mechanism can significantly reduce the dynamics of unsafe behaviors in coal mine safety supervision. A combined mechanism of incentive rewards and flexible penalty is put forward to improve the stability of the dynamical system and control the instability of behaviors effectively. The results of model simulation show that the combined mechanism has very good property and can optimize and control the instability of behaviors and strategies of the interested parties. Based on the theoretical conclusions, some control strategies and policy advice are proposed for the improvement of the system and measures of safety management for government departments.

Simulation of Chinese Coal Mine Safety Supervision System Performance Based on Netlogo Platform

Simulation of Chinese Coal Mine Safety Supervision System Performance Based on Netlogo Platform

Impact of rent-seeking on productivity in Chinese coal mine safety supervision: A simulation study

During the “golden decade” (2001–2011) of the coal industry in China, rent-seeking increased in coal mine safety supervision alongside significant improvements in coal mine safety status and increased economic benefits in the coal industry. To explore this internal relationship, we developed a Matlab simulation system and simulated the impact of rent-seeking from each level of the supervision department on coal mine productivity in different scenarios. The results showed the following. (1) Rent-seeking had no significant influence on the average level of material productivity but it had an adverse effect on the average level of mental productivity. Due to the effects of rent-seeking, productivity tended to exhibit unstable and destructive fluctuations, and rent-seeking had the dual effect of promoting and restraining productivity in a wide range with a high frequency. (2) In the supervision scenario, supervision by the high-level department was efficient, and productivity was promoted more by the national and provincial supervision department. (3) In the rent-seeking scenario, each level of the department had an intensity threshold above which coal mine accidents occurred. We also propose suggestions that focuses on the improved supervision of Chinese coal mine safety in three areas based on the “new normal” safety concept.

Evaluating the effect of coal mine safety supervision system policy in China's coal mining industry: A two-phase analysis

The construction of a vertical-management system of coal mine safety supervision since 2000 is an important measure to improve coal mine safety in China. This paper examines its effect on coal mine production safety by combining the structural break test, by which the establishment of the supervision system is divided into two phases (2000–2009 and 2010–2013), with an unbiased grey Markov model. This paper then proposes a staged evaluation framework through considering the respective characteristics of sample data and model applicability. The results show that the models are suitable for forecasting the death rate per million tons (DRPMT) of coal due to their desirable characteristics. Coal mine safety has significantly improved since 2000 with the constant decline of DRPMT due to the gradual construction of supervision institutions, which produced increasingly positive institutional effect (2.3373 persons/million tons) in the first phase. However, the benefit from institution construction was close to zero (0.0667 persons per million tons per year) in the second phase due to a supervision-institution construction standstill. By analyzing the current problems, this paper suggests continuing to improve the current supervision system for coal mine safety through further adjusting respective functions of "State Supervision" and local regulation departments; namely, reducing the regulation functions in the "State Supervision", improving its supervising ability for local regulation departments and playing a leading role in coal mine accident investigation.

Burnout in Chinese coal mine safety supervision

This study examines commonly-suffered job burnout as it relates to the practice of safety supervision in Chinese coal mine enterprises. Commonly-suffered job burnout is a form of job burnout caused by external factors. It is closely related to task characteristics rather than individual idiosyncrasies. To explore the causes of commonly-suffered job burnout, the special attributes (the integrated output attributes, conditional output attributes, and public goods attributes) of coal mine safety output and the inevitability of the invalidation of the bounded authority in safety supervision were analyzed in this study, which reveals the formation mechanism of commonly-suffered job burnout. Moreover, a confirmatory game model was constructed to analyze how the attributes of the safety output and bounded authority of safety supervision act on the safety output. The theoretical connotation of commonly-suffered job burnout was explained based on the job demands-resources theory. A comparative analysis of commonly-suffered job burnout and the job burnout that occurs in the traditional research object was also undertaken from the viewpoint of the job demands, which are determined by the characteristics of the work task and their corresponding coping resources. Policy suggestions were given based on interventions in commonly-suffered job burnout.

Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework

The periodical fluctuation phenomenon appears in coal mine and other fields of government safety supervision. The paper provides a theoretical explanation by building an evolutionary game model between coal mine industry and governmental supervision institutions. Moreover, the paper provides a numerical example to demonstrate how the initial state and the costs (or gains) influence the fluctuation amplitude and the equilibrium position. We find that the initial state and the payoffs of different strategies are the two main determinants of periodical fluctuation phenomenon. The successful experience of coal mine safety supervision in China shows the importance of highly efficient government safety governance in developing countries.

Research on effectiveness of coal mine safety supervision system reform on three types of collieries in China

Coal mine safety supervision system plays an important role in the coal mine safety management in China. However, the current supervision system is established on the basis of learning the advanced experience from other developed countries. It needs to be further improved according to national conditions. Therefore, the effectiveness of coal mine safety supervision system reform on three types of collieries are assessed by using time series analysis method based on comparative analysis of the supervision system before and after the reform in this paper. The regression results show that the structural reform is not conductive to the improvement of coal mine safety situation in the short term, but conductive significantly in the long term. Specifically, the effects in township coal mines are more significant than state-owned key coal mines in the long run, but negative effects also exist in the short term. The negative effects in state-owned key coal mines are non-significant compared with township coal mines. Moreover, the regression results are analyzed from the aspects of the closure policy of illegal small township coal mines at the end of 1998 and shortage of the new supervision system. Finally, the suggestions on improving the new supervision system are put forward based on the above analysis.

Discussion on Application of IOT Technology in Coal Mine Safety Supervision

According to condition that safety situation of national coal mine production remains serious, and serious accidents have not been effectively curbed, current status of safety supervision informationization is analyzed. Through introducing concept of Internet of Things (IOT), view of using IOT to help safety supervising authorities of coal mine strengthen supervision on enterprises implementing principal responsibility for safety was put forward, and specific application of IOT in safety supervision of coal mine was analyzed thoroughly. Program of networked remote inspecting technology on basis of IOT was proposed, which provides a new way for innovating supervising way, thereby working effectiveness of supervision against coal mine can be enhanced, and serious situation of safe production in coal mines can be improved, finally safe and stable development of coal industry can be further promoted.