煤矿安全生产集成管理运行机制研究Research on Working Mechanism of Coal Mine Safety Production

2012 ◽  
Vol 02 (03) ◽  
pp. 133-136
Author(s):  
杨 金廷
Keyword(s):  
Coal Mine ◽  
Mine Safety ◽  
Working Mechanism ◽  
Coal Mine Safety ◽  
Safety Production

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.

Research on Fire Detection in Coal Mine Based on GA-Improved Wavelet Neural Networks

2012 ◽  
Vol 490-495 ◽  
pp. 1636-1639
Author(s):  
Hong Zhao
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Coal Mine ◽  
Fire Detection ◽  
Mine Safety ◽  
Wavelet Neural Networks ◽  
Mine Fire ◽  
Coal Mine Safety ◽  
Safety Production ◽  
Novel Method

In coal mine the forecast on fire is mainly based on the smoke, gas and temperature parameters to recognize, and sometimes it has leak check and wrong check, therefore a novel method for mine fire based on image processing is presented. First the data are obtained by infrared CCD, then the blaze characters are extracted and they are entered into the GA-improved wavelet neural networks model after being quantization, finally the fire can be detected. The experiment results show that this method can recognize fire signals and it reduced leak forecast, and also it is more reliable and has stronger antigambling ability. It will inevitably play an important role in coal mine safety production..

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