scholarly journals Evaluation of Emergency Rescue Efficiency in Coal Mines Based on Co-entropy

Author(s):  
Yumeng Wang ◽  
Zhou Xihua ◽  
Bai Gang ◽  
Xianlin Li ◽  
Xiao Mufeng ◽  
...  

Abstract By decomposing the coal mine emergency rescue organization and coal mine emergency rescue work, the synergy entropy function is constructed by combining the synergy class with the entropy theory, and the synergy efficiency assessment model of coal mine emergency rescue is established. Analyze the synergistic relationship between departments in the rescue organization and between departments and functional units, construct the synergistic influence matrix, and obtain the synergistic status of the coal mine emergency rescue system by calculating the synergistic entropy, synergistic efficiency and synergistic degree. The quantitative analysis of the emergency rescue system in coal mines is achieved by analyzing the situation of the rescue work in coal mines and evaluating the rescue organizations at each tier based on the established evaluation model.

2014 ◽  
Vol 926-930 ◽  
pp. 1197-1200
Author(s):  
Shi Xian Zeng ◽  
Rui Xue ◽  
Juan Song

Rescue work should be improved in terms of flexibility, safety and reliability. A system is designed with an ARM11 processor as the controller. WiFi Wireless Ad Hoc Networks is used in the rescue communication. The system is modular programmed and has integrated many rescue techniques. Part of the hardware circuit has been modified to improve the functionality. Experiment results show that the system is full-featured, highly efficient, and practicable. It can be used in the complicated environment of major accident scenes and is of high engineering value.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jianghong Liu ◽  
Junfeng Wu ◽  
Weisi Liu

The emergency management of chemical accidents plays an important role in preventing the expansion of chemical accidents. In recent years, the evaluation and research of emergency management of chemical accidents has attracted the attention of many scholars. However, as an important part of emergency management, the professional rescue team of chemicals has few evaluation models for their capabilities. In this study, an emergency rescue capability assessment model based on the PCA-BP neural network is proposed. Firstly, the construction status of 11 emergency rescue teams for chemical accidents in Shanghai is analyzed, and an index system for evaluating the capabilities of emergency rescue teams for chemicals is established. Secondly, the principal component analysis (PCA) is used to perform dimension reduction and indicators’ weight acquisition on the original index system to achieve an effective evaluation of the capabilities of 11 rescue teams. Finally, the indicators after dimensionality reduction are used as the input neurons of the backpropagation (BP) neural network, the characteristic data of eight rescue teams are used as the training set, and the comprehensive scores of three rescue teams are used for verifying the generalization ability of the evaluation model. The result shows that the proposed evaluation model based on the PCA-BP neural network can effectively evaluate the rescue capability of the emergency rescue teams for chemical accidents and provide a new idea for emergency rescue capability assessment.


2011 ◽  
Vol 88-89 ◽  
pp. 302-306 ◽  
Author(s):  
Kai Wang ◽  
Shu Guang Jiang ◽  
Zheng Yan Wu ◽  
Wei Zou

Finding the shortest path is an important issue of coal mine emergency rescue. In this paper, based on Analytic Hierarchy Process theory, the roadway path weight is calculated, thus, influential factors weight on walking speed by roadway attribute is obtained. The establishment of the roadway equivalent length system constitutes roadway equivalent length adjacency matrix combined with path weight. Using adaptive ant colony algorithm and MATLAB software to simulate local roadway of a coal mine domestic, we get the shortest path in mine emergency rescue system, which is more reasonable and less time needed.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jin Jing ◽  
Yang Yu ◽  
Jiang Yuxin

Earthquakes occur frequently in the 21st century and cause a large number of casualties; induced secondary geological disasters will cause more serious casualties. How to reasonably deal with the earthquake disaster to carry out emergency rescue work is becoming increasingly urgent; the ability level of earthquake disaster emergency rescue personnel is directly related to the follow-up relief effect. Based on this, aiming at the emergency rescue ability of nationalized railway management talents in high-intensity earthquake areas around the world, this paper will use the methods of analytic hierarchy process and fuzzy theory to construct an intelligent evaluation model of railway international earthquake emergency rescue personnel ability. In addition, this paper carries out a questionnaire survey of experts in related fields and model empirical research and puts forward optimization measures and suggestions for the personnel training of railway international earthquake emergency rescue in high-intensity seismic areas based on the results of model evaluation.


Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 8
Author(s):  
Zhaoliang Wang ◽  
Yongxin Xu ◽  
Zhixiang Zhang ◽  
Yongbo Zhang

Excessive exploitation and massive coal mine closures have brought about extensive goafs in Shanxi where 8780 coal mines have been abandoned in the last 20 years. Acid mine drainage (AMD) poses severe environmental impact and has become a prominent problem in Shanxi abandoned coal mine areas, which has aggravated the shortage of water resources and threatened the safety of the local drinking water supply. The purpose of this review is to protect the precious water resources and maintain sustainable use in Shanxi coal mines and downstream. By retrieving and analyzing about 90 domestic and international publications, a critical review of the AMD research results in Shanxi abandoned coal mines is conducted from the perspective of the formation mechanism, migration and transformation, prediction, treatment and management. The results shows that pyrite is the prerequisite for the formation of AMD, oxygen is the inducement, water is the carrier, and Fe3+ and microorganisms are the catalyst. The roadway system and geological structure are the dominant control factors. Finally, current difficulties and future research are pointed out. It is necessary to further strengthen the systematic research on the geological and hydrogeological conditions of abandoned coal mines, and explore an efficient, cheap, environmental technology, and construct the pollution risk assessment model for the AMD treatment. This study provides a scientific basis for the comprehensive treatment and management of AMD in abandoned coal mines in Shanxi.


Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shuicheng Tian ◽  
Pengfei Yang ◽  
Kai Tang

Gas explosion, which is the main type of accidents reported in coal mines, comes with serious economic and safety consequences. The present work adopts the “glass heart” model for assessing the vulnerability of coal mines to gas explosions based on a constructed gas explosion vulnerability assessment index system. The proposed index system is applied to a coal mine in Henan Province, China, as an example. The original disturbance index is augmented by including the energy release index factor. The Delphi method is employed by six experts to score the index factors according to a scoring standard. Data analysis and processing yield a gas explosion vulnerability score of 0.431 for the example mine. Accordingly, the mine is classified as grade II, indicating that the mine is likely to result in casualties and/or property loss. A comparison of the assessment results with those obtained via an analysis of records pertaining to previous gas explosion accidents indicates that the proposed assessment of gas explosion vulnerability by means of the “glass heart” assessment model is realistic. The “glass heart” vulnerability assessment method offers a new perspective and methodology for assessing the vulnerability of coal mines to gas explosion and conducting coal mine risk classification.


2015 ◽  
Vol 9 (12) ◽  
pp. 343-356
Author(s):  
Shao Hao ◽  
Jiang Shuguang ◽  
Wu Zhengyan ◽  
Zhang Weiqing ◽  
Wang Kai

2016 ◽  
Vol 84 (2) ◽  
pp. 1463-1485 ◽  
Author(s):  
Kai Wang ◽  
Shuguang Jiang ◽  
Xiaoping Ma ◽  
Zhengyan Wu ◽  
Hao Shao ◽  
...  

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