scholarly journals Game Research on Coal Mine Workers’ Off-Post Behaviors

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Jun Zeng ◽  
Qingguo Yao ◽  
Xinhua Wang ◽  
Yansong Zhang
Keyword(s):  
Simulation Model ◽  
Coal Mine ◽  
Economic Benefit ◽  
Evolutionary Games ◽  
Coal Miners ◽  
Inspection Cost ◽  
Wage Loss ◽  
Safety Production ◽  
Punishment Intensity ◽  
Punishment Mechanism

In order to seek for causes and solutions of off-post behaviors of coal miners, static and evolutionary games were utilized on the basis of an established strategy simulation model between coal mine enterprise and coal miners. These games were used to determine the revenue matrix of two game parties given off-post behaviors of coal miners from two levels (coal miners and coal mine enterprise). Thus, equilibrium and dynamic evolutionary analyses of the two parties should be conducted. Results indicated that, in the enterprise’s perspective, inspection cost and punishment intensity are important factors that influence the safety production and economic benefit of coal mine enterprises; in the coal miners’ perspective, wage loss and the constraint degree it generates are essential factors. Furthermore, these factors constitute a key to solving off-post behaviors of coal miners. Reasonability of the established simulation model was analyzed and verified on the basis of off-post behaviors of workers from a coal mine that belongs to Yanzhou Coal Mining Co., Ltd. The coal mine enterprise should enhance the inspection of safety production and establish scientific and complete off-post punishment mechanism. Moreover, the coal mine enterprise should provide proper compensation, treatment, and reward policies of workers to reduce the off-post behaviors of workers from a coal mine enterprise effectively.

Development and Application of the Coal Mine Safety Production System Based on GIS

2012 ◽  
Vol 14 (4) ◽  
pp. 454-459
Author(s):  
Xiaobo XU ◽  
Hualing WU ◽  
Jianqiang WANG ◽  
Shengping WANG
Keyword(s):  
Coal Mine ◽  
Production System ◽  
Mine Safety ◽  
Coal Mine Safety ◽  
Safety Production

Hardware Design of Coal Mine Safety Monitoring System Based on WSN

2012 ◽  
Vol 546-547 ◽  
pp. 1483-1488
Author(s):  
Shu Ren Han ◽  
Jun Wang ◽  
Ling Liang ◽  
Xian Peng Liu
Keyword(s):  
Monitoring System ◽  
Coal Mine ◽  
Hardware Design ◽  
Mine Safety ◽  
Sink Node ◽  
Function Structure ◽  
Gas Concentration ◽  
Coal Mine Safety ◽  
Safety Monitoring System ◽  
Safety Production

In the safety production of coal mine, monitoring exact and real-time mine parameter is very important and key problem. The monitoring system of mine environment with wireless is designed, which is based on the structure of wireless sensor network (WSN).The system includes sensor node, Sink node and monitoring center. In the paper, the function structure and hardware design of sensor are introduced for the monitoring of temperature, humidity and gas concentration, and the function structure and hardware design of sink node is designed. The system has low power, rapid real-timing, stable running. Etc. This can satisfy with the requirement of WSN and suit the monitoring of bad environments. It will have wide application prospect.

Risk assessment of coal mine safety production management activities based on FMEA-BN

2021 ◽  
pp. 1-14
Author(s):  
Xiaochuan Wang ◽  
Huixian Wang
Keyword(s):  
Risk Assessment ◽  
Coal Mine ◽  
Production Management ◽  
Assessment Model ◽  
Mine Safety ◽  
Risk Level ◽  
Layer By Layer ◽  
Effect Analysis ◽  
Coal Mine Safety ◽  
Safety Production

At present, the situation of coal mine safety production is still grim. The key to solve the problem is to analyze the risk of management activities in the process of coal mine safety production. This paper takes the management activities in the process of coal mine safety production as the research object. Firstly, according to the coal mine safety production standardization management system, the safety production management activities are carried out layer by layer. Then, the Failure Mode and Effect Analysis (FMEA) is used to identify the human errors that lead to the failure of management activities at all levels of coal mine. Furthermore, the Fuzzy Set Theory is used to determine the evaluation results of experts on the risk level of coal mine safety production management activities. Combined with Bayesian network (BN), the risk assessment model of coal mine safety production management activities is established. Through the model, the risk probability of coal mine enterprise management activities is accurately calculated. According to the evaluation results, the risk of management activities in coal mine safety production is analyzed.

scholarly journals Game Modelling and Strategy Research on Trilateral Evolution for Coal-Mine Operational Safety Production System: A Simulation Approach

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yan Li ◽  
Yan Zhang ◽  
Haifeng Dai ◽  
Ziyan Zhao
Keyword(s):  
Coal Mining ◽  
Coal Mine ◽  
Evolutionary Game ◽  
Mining Industry ◽  
Mine Safety ◽  
First Line ◽  
Coal Mining Industry ◽  
Coal Mine Safety ◽  
Safety Production ◽  
Decision Making Behavior

In view of the particularity and high risk of coal mining industry, the decision-making behavior of multiple agents inside the coal-mine enterprise plays a very important role in ensuring the safety and sustainable development of coal mining industry. The existing literature studies on coal-mine safety production focus mainly on statically analyzing the game among the external entities such as the government, the enterprises themselves, and the employees inside the enterprise from a macro perspective,are short of research on revealing the dynamic interactions among the actors directly involved in the coal-mine accidents and also on proposals for effective interactions that will lead to improved safety outcomes. Therefore, this paper explores the use of evolutionary game theory to describe the interactions among the stakeholders in China’s coal-mine safety production system, which includes the organization, the first-line miners, and the first-line managers. Moreover, the paper also explores dynamic simulations of the evolutionary game model to analyze the stability of stakeholder interactions and to identify equilibrium solutions. The simulation results show that when certain conditions are met, the decision-making behavior of the organization, miners, and managers can evolve into the unique ideal steady state (1, 1, 1). In addition, the strategy portfolio with a relatively high initial proportion of three agents converges more quickly to an ideal state than a relatively low strategy portfolio. Moreover, the stable state and equilibrium values are not affected by the initial value changes. Finally, we find that the combination of positive incentive policies and strict penalties policies can make the evolutionary game system converge to desired stability faster. The application of the evolutionary game and numerical simulation when simulating the multiplayer game process of coal-mine safety production is an effective way, which provides a more effective solution to the safety and sustainable development of coal mining industry.

scholarly journals Predicting Hidden Danger Quantity in Coal Mines Based on Gray Neural Network

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 622
Author(s):  
Hongze Zhao ◽  
Qiao He ◽  
Zhao Wei ◽  
Lilin Zhou
Keyword(s):  
Neural Network ◽  
Coal Mine ◽  
Large Scale ◽  
Safety Management ◽  
Coal Mines ◽  
Development Trend ◽  
Good Prediction ◽  
Average Value ◽  
Normal Distribution Curve ◽  
Safety Production

The hidden danger is the direct cause of coal mine accidents, and the number of hidden dangers in a certain area not only reflects the current safety situation, but also determines the development trend of safety production in this area to a large extent. By analyzing the formation and development law of the hidden dangers and hidden danger accident-induced mechanism in coal mines, it is concluded that there are some objective laws in the process of occurrence, development, weakening, and even stabilization of hidden dangers in a certain area. The development of the number of hidden dangers for a coal mine generally presents the law of similar normal distribution curve, with a certain degree of partial symmetry. Many years of hidden danger elimination in coal mines will accumulate large-scale hidden danger data. In this paper, by using the average value of hidden danger quantity in consecutive months to weaken the oscillation of hidden danger quantity sequence, and combining with gray model (1,1) and the neural network of extreme learning machine, and employing big data of hidden dangers available, a hidden danger quantity prediction model based on the gray neural network was established, and the experimental analysis and verification carried out. The results show that the model can achieve good prediction effect on the number of hidden dangers in a coal mine, which not only reflects the complex gray system behavior of hidden dangers of a coal mine, but also can predict dynamically. The safety management efficiency and emergency capacity of the coal mine enterprise will be greatly improved.

Prevention and Control Technology Research on Rock Burst of Fully Mechanized Caving Faces and Gob-Side Entry

2013 ◽  
Vol 353-356 ◽  
pp. 303-306
Author(s):  
Zhi Chao Tian ◽  
Long Hao Dong ◽  
Min Ma ◽  
Ye Jiao Liu
Keyword(s):  
Rock Burst ◽  
Coal Mine ◽  
Similar Condition ◽  
Economic Benefit ◽  
Prevention And Control ◽  
Scientific Basis ◽  
Surrounding Rock ◽  
Control Technology ◽  
Technology Research ◽  
And Control

According to the actual monitoring data of mining environment and rock burst happening on the 3511 fully-mechanized workface in Anyuan coal mine, the research of the rock burst on the workface and its surrounding rock of gob-side entry is done and the reasonable supporting scheme is determined. The research results are of great guiding importance to the coal mining that has similar condition, provide scientific basis for the control technology of rock burst on the workface and its gob-side entry as well as the reasonable identification of support parameters on the gob-side tunnel, and supply technology protection in order to accelerate the advancing speed of workface. Finally it can produce larger economic benefit.

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