scholarly journals A GIS Based Unsteady Network Model and System Applications for Intelligent Mine Ventilation

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Hui. Liu ◽  
Shanjun Mao ◽  
Mei. Li ◽  
Pingyang Lyu

With the development of state-of-the-art technology, such as the artificial intelligence and the Internet of Things, the construction of “intelligent mine” is being vigorously promoted, where the intelligent mine ventilation is one of the primary concerns that provides the efficient guarantee for safety production in the underground coal mine system. This study aims to integrate the geographical information system (GIS) and the unsteady ventilation network model together, to provide location based information and online real-time support for the decision-making system. Firstly, a GIS based unsteady network model is proposed, and its algorithm steps are brought out. Secondly, a prototype web system, named 3D VentCloud, is designed and developed based on the front and end technique, which effectively integrates the proposed algorithms. Thirdly, the model is validated, and the system is applied to a real coal mine for ventilation solution, which demonstrates that the model is reasonable and practical. The online simulation system is efficient in providing real-time support. The study is potential and is expected to guide the real-time coal mine safety production.

2012 ◽  
Vol 542-543 ◽  
pp. 74-78 ◽  
Author(s):  
Xiang Yun Wan ◽  
Hao Yang

The incompatible data information between the various types of ventilation management software and the coal mine safety monitoring system has become a major obstacle to the mine ventilation and safety management informatization. This paper studies the synchronizing integration of the heterogeneous data between the coal mine three-dimensional visualization ventilation system and the security monitoring system, which divides the mine ventilation information into the basic information and the security monitoring real-time information, analyses the transmission characteristics of the real-time monitoring data, explores the conversion of heterogeneous data online communication, and achieves the integration of geometric parameters and various dynamic parameters for the coal mine ventilation system.


2012 ◽  
Vol 14 (4) ◽  
pp. 454-459
Author(s):  
Xiaobo XU ◽  
Hualing WU ◽  
Jianqiang WANG ◽  
Shengping WANG

2012 ◽  
Vol 546-547 ◽  
pp. 1483-1488
Author(s):  
Shu Ren Han ◽  
Jun Wang ◽  
Ling Liang ◽  
Xian Peng Liu

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.


Author(s):  
Xiaochuan Wang ◽  
Huixian Wang

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.


2014 ◽  
Vol 1073-1076 ◽  
pp. 2078-2081
Author(s):  
Tao Zhu ◽  
Shuang Jie Du ◽  
Xian Xian He

Due to the large flow, low concentration, low enrichment efficiency, potential safety hazards and the difficulty of comprehensive utilization, it is a big challenge for the development and application of enrichment and separation technology for coal mine ventilation methane (CMVM) at home and abroad. And many countries paid more and more attentions to resolve this problem. In this paper, we comprehensively introduce the research progress in the field of gas enrichment and separation of CMVM, and analyze the related research and application situation. Then, we put forward the enrichment and separation of CMVM in the future development will focus on high efficient adsorbent and adsorption & separation & enrichment technology and equipment, etc. in order to effectively form the system technology of separation & enrichment of CMVM. So we can provide technical support and auxiliary equipment for the domestic related enterprises, and ensure the mine safety and CMVM utilization. The application of CMVM in the laboratory can make mining engineering students learn how to use environmental technology to realize energy saving and emission reduction in coal mine.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yan Li ◽  
Yan Zhang ◽  
Haifeng Dai ◽  
Ziyan Zhao

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.


2019 ◽  
Vol 29 (4) ◽  
pp. 585-590 ◽  
Author(s):  
Andrzej Walentek ◽  
Tomasz Janoszek ◽  
Stanisław Prusek ◽  
Aleksander Wrana

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