scholarly journals Retraction Note: Structural strength analysis of loess based on genetic algorithm and the prediction and optimization of coal mine gas emission

2021 ◽  
Vol 14 (24) ◽  
Author(s):  
Xiumei Xie ◽  
Xuedong Du ◽  
Binguo Wang
2011 ◽  
Vol 26 ◽  
pp. 1157-1167 ◽  
Author(s):  
Wei Chunrong ◽  
Xu Minqiang ◽  
Sun Jianhua ◽  
Li Xiang ◽  
Ji Chenrun

2012 ◽  
Vol 546-547 ◽  
pp. 3-7 ◽  
Author(s):  
Jia Tang Cheng ◽  
Hui Zhang

In order to improve the prediction accuracy and prediction speed of coal mine gas emission, ant colony algorithm combining with neural network is used for prediction models design. Choose an important factor influencing gas emission, establish of its neural network prediction model. Select the network mean square error as the objective function, through the ant colony algorithm iteration achieve optimal BP network weights, and use the optimized BP network for gas emission prediction. Simulation results show that the method has high fitting prediction accuracy.


ACS Omega ◽  
2021 ◽  
Author(s):  
Jianhua Fu ◽  
Dengke Wang ◽  
Xuelong Li ◽  
Zhiming Wang ◽  
Zhengjie Shang ◽  
...  

2014 ◽  
Vol 955-959 ◽  
pp. 1868-1872
Author(s):  
Wei Liu ◽  
Xiao Hong Chen ◽  
Jun Wang

Gas accident is one of the most common accidents in coal mine in china. This paper argues that the gas dangerousness is determined by many factors which are difficult to quantitative risk, and deems these factors are quantified and fuzzy comprehensive evaluation, comprehensive evaluation, which are benefit evaluation and master the coal mine’s gas safety level, and determine the safety investment direction and improve the benefit of safety investment that will reduce the coal mine gas occurrence probability, so as to reduce and avoid the happening of coal mine gas accident. The basic steps: first, to analyze and master all kinds of gas accident reasons; Second, to determine the assemble of the gas risk factors evaluation, determine the evaluation grade assemble; Third, to proceed the single factor evaluation, determine fuzzy relationship matrix and the fuzzy weight vector of evaluation factor, and to choose the appropriate composition operator, vector analysis with the result of fuzzy comprehensive evaluation; Finally, people will take corresponding measures to prevent according to the result of evaluation that shows safety weaknesses.


2012 ◽  
Vol 433-440 ◽  
pp. 2712-2715
Author(s):  
Xiao Li Liu ◽  
Zhi Ye Zhang

Now the coal mine gas risk index and evaluation system has a lot of deficiency. The paper establishes a coal mine gas risk index system and explains the meaning of each index on the basis of analysis of gas accident for recent years. Fuzzy comprehensive evaluation has become an effective and popular method, so the paper evaluates the coal mine gas accident risk using fuzzy mathematical safety evaluation, and takes this method in six mines of one group, at last the paper provides some suggestions for this method


2014 ◽  
Vol 1073-1076 ◽  
pp. 2173-2176 ◽  
Author(s):  
Hui Chun Gao ◽  
Chao Jun Fan ◽  
Jun Wen Li ◽  
Ming Kun Luo

Aimed at the frequency gas accident of coal mine, we designed a coal mine gas monitoring system based on Arduino microcontroller. The MQ-4 gas sensor was used to collect gas concentration, wireless ZigBee was used to transfer data of gas concentration to PC. The system can display gas concentration real-timely by LCD and use SD card to store the data. The system will send out sound and light alarm when the gas concentration overruns. Industrial tests have been carried out in Wuyang coal mine. Results show that gas monitoring system can well adapt to environment of underground coal mine and the measurement is accurate. The system is real-time monitoring and early warning. It has the characteristics of low power consumption, low cost, wireless, good market prospect.


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