Coal Mine Safety Accidents Research Articles

Statistics and Multidimensional Analysis of Coal Mine Safety Accidents in China

Statistics and Multidimensional Analysis of Coal Mine Safety Accidents in China

Simulation and Analysis of Coal Mine Safety Escape Routes Based on a Multi-agent Model

In order to discuss the influencing factors of mine escape decision when underground disaster occurs, this paper uses the multi-agent modeling theory to construct the coal mine safety accident escape model. The real escape scenarios of different chamber positions and multiple exits are simulated. Dijkstra algorithm was used for site selection and the shortest escape path is searched by combining breadth-first algorithm and adjacency matrix. The simulation results show that the multi-agent simulation modeling method has great advantages in simulating the evolution of complex systems.

The Role of Work Engagement in the Association between Psychological Capital and Safety Citizenship Behavior in Coal Miners: A Mediation Analysis.

With the development of science and technology and the increasing importance attached by to these domains by the state and government departments in recent years, China’s coal production and safety supervision level continue to increase. However, the prevalence of frequent coal mine safety accidents has not been effectively curbed. The main purpose of this study was to explore the mediating role of work engagement in the relationship between psychological capital and safety citizenship behavior among Chinese coal miners. Data for 317 coal miners were collected from five coal and energy enterprises. The Psychological Capital Questionnaire (PCQ), the Job Engagement Scale (JES), and the Safety Citizenship Behavior Scale (SCBS) were used to evaluate the coal miners’ psychological capital, work engagement, and safety citizenship behavior. The causal steps approach and bootstrap Method were used in this study to assess the proposed mediation models. A correlation analysis indicated that psychological capital, work engagement, and safety citizenship behavior were significantly correlated with each other. Furthermore, the mediation analysis showed that work engagement mediated the relationship between psychological capital and safety citizenship behavior. Psychological capital does not only have a direct impact on coal miners’ safety citizenship behavior, but it also has an indirect impact on coal miners’ safety citizenship behavior via work engagement. Therefore, effectively enhancing an individual’s psychological capital and work engagement may be a basic factor determining coal miners’ safety citizenship behavior, which further promotes safety production within the enterprise.

Experiment investigation on gas flow characteristics of coal considering the integrity of coal samples

Gas has been one of the main causes of coal mine safety accidents. At present, the most commonly used treatment method is still gas drainage in advance. The permeability of coal seams is the most important factor affecting gas drainage. According to the coal density, P-wave velocity and fracture distribution, the coal samples are grouped to eliminate the influence of the differences of the coal samples on the experimental results. The results show that due to the decrease of samples integrity and the increase of gas osmotic pressure, the peak strength of the sample will reduce, and eventually the stable permeability will increase. Besides, the starting point of permeability will also appear earlier (relative to the peak intensity point of the samples). It is worth noting that the starting point of the sample permeability is highly consistent with the expansion point of sample volume. As the loading and unloading rate increases, the peak strength of the samples will first decrease and then increase. Similarly, the final stable permeability of the samples also shows a trend of first decreasing and then increasing.

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.

Multi - party Game Analysis of Coal Industry and Industry Regulation Policy Optimization

In the face of the frequent occurrence of coal mine safety accidents, this paper analyses the relationship between central and local governments, coal mining enterprises and miners from the perspective of multi - group game. In the actual production, the decision of one of the three groups can affect the game strategy of the other of the three, so we should assume the corresponding game order. In this order, the game analysis of the income and decision of the three is carried out, and the game decision of the government, the enterprise and the workers is obtained through the establishment of the benefit matrix and so on. And then on the existing system to optimize the coal industry regulation proposed practical recommendations to reduce the frequency of industry safety accidents, optimize the industry production environment.

Relationship Research between Subjective Well-being and Unsafe Behavior of Coal Miners

In recent years, China’s coal mine safety accidents are frequently. Human factors are the main cause of coal mine safety accidents, and miners’ unsafe behavior is one of the main forms of human factors. It is necessary to conduct in-depth study on the unsafe behavior of miners to ensure the safety of coal mine. In this study, the relationship between coal miners’ subjective well-being and unsafe behavior was examined from the perspective of ordinary miners’ well-being. And then the influencing factors of miners’ unsafe behavior were analyzed. Two hundred miners were selected randomly for this study in Datong Coal Mine Group of Shanxi Province. Then, a questionnaire was completed by the 200 miners respectively, and a valid sample of 184 responses was collected. SPSS23.0 software was used to organize and analyze these data. The conclusions show that the hypotheses were all confirmed, and subjective well-being has a significant impact on miners’ unsafe behavior, positive emotion has a negative influence on miners’ unsafe behavior, negative emotion has a significant positive impact on miners’ unsafe behavior, and life satisfaction has a significant negative relationship with miners’ unsafe behavior. Thus, some countermeasures were put forward for coal mine managers to enhance miners’ subjective well-being and reduce their unsafe behaviors.

Lightweight Mashup Middleware for Coal Mine Safety Monitoring and Control Automation

Recently, the frequent coal mine safety accidents have caused serious casualties and huge economic losses. It is urgent for the global mining industry to increase operational efficiency and improve overall mining safety. This paper proposes a lightweight mashup middleware to achieve remote monitoring and control automation of underground physical sensor devices. First, the cluster tree based on ZigBee Wireless Sensor Network (WSN) is deployed in an underground coal mine, and propose an Open Service Gateway initiative (OSGi)-based uniform devices access framework. Then, propose a uniform message space and data distribution model, and also, a lightweight services mashup approach is implemented. With the help of visualization technology, the graphical user interface of different underground physical sensor devices could be created, which allows the sensors to combine with other resources easily. Besides, four types of coal mine safety monitoring and control automation scenarios are illustrated, and the performance has also been measured and analyzed. It has been proved that our lightweight mashup middleware can reduce the costs efficiently to create coal mine safety monitoring and control automation applications.

The Application of Intelligent Industrial Robots in the Mine Research and Design

Coal mine safety accidents lead to national casualties and economic losses, to the greatest extent reduce accidents, it is a worldwide problem. In addition to strengthen safety management, security monitoring, there is a better way is to enhance the mine industrial automation process. The use of intelligent industrial robots in the mine, it will improve the efficiency of coal at the same time, and greatly reduce the risk of injury or even can effectively avoid accidents. This paper is to study one intelligent industrial robot which can use in the mine, and it use state-of-the-art motor control technology, and can operate it to high-risk job in the control room. In this paper, a detailed study of the specific structure of the industrial robots, and designed a complete set of control scheme.

Study on Coal Mining Technology of Static High Pressure Water Expanding and its Mechanism of Rock Breaking

Coal and gas bursting is an important factor of causing coal mine safety accident, it may cause major accident, even effect on the safety of human life. Human disturbance is an important factor of causing coal and gas outburst. In this paper under the enlightenment of the water injection dustproof, the coal technology of static high pressure water expanding were researched and developed. And the main equipment of coal and the process flow and the mechanism of rock breaking and the matters needing attention were introduced. Field application showed that the technology can decrease the outburst of the coal and gas and can increase the driving speed. So the technology is effective method of coal mining.

The Study of Forewarning Management Control System on Coal Mine

Two-thirds of fuel consumption is from coal, coal mine safety accident causes huge loss of property and threatens the life safety of workers. However, 80% of the accidents are caused by poor management. It is greatly necessary to study coal mine safety management control. The construction of forewarning management control system has great benefits on reducing accident. As it transforms the management model of the coal mine from afterwards controls to beforehand control. Forewarning management control system that composed by subsystem, data storage layer and show layer have the functions of. This paper will focus on management control with building forewarning management control system identifying, monitoring and diagnosing and evaluating dangerous factors to change it within security state.

Identification and Appraisal of the Major Risk Accident in Coal Mine Production

The coal mine safety accident is a significant problem to be faced in our country's coal mine safety management. Facing the increasing situation of coal mine safety production, it is very important to analyze the key risk factors from the every aspect of coal mine production. In this paper, the problem is analyzed by AHP. The analysis result is a very valuable reference for producers because it can provide scientific basis for coal mine safety production decision-making.