DocumentCode
2821204
Title
Comprehensive Evaluation Analysis of Mine Gas Safety Based on Integrated Method
Author
Liu Hai Tao ; Li Lin Lin
Author_Institution
Grad. Coll., HeiLongJiang Inst. of Sci. & Technol., Harbin, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
There are some weaknesses in the traditional safety evaluation methods, such as, slow reasoning, low accuracy and so on, so thinking of a variety of factors which affect gas safety, a gas safety evaluation index system is built, which focuses on the state of gas, mine ventilation, gas monitoring, safety management and kindling. Combining the fuzzy comprehensive evaluation method with gray correlation method and BP neural network method, taking Hei Longjiang Longmay Group as an example, a gas safety evaluation in its five mines was made. The results show that using different integrated comprehensive evaluation methods to evaluate the gas safety in the same mine, the results are different. It requires decision-makers to consider many factors and adopt more appropriate and scientific methods when making a comprehensive evaluation, which makes a right decision.
Keywords
backpropagation; correlation methods; decision making; fuzzy set theory; mining; neural nets; occupational safety; production engineering computing; BP neural network method; Hei Longjiang Longmay Group; backpropagation neural network; comprehensive evaluation analysis; decision-makers; fuzzy comprehensive evaluation method; gas monitoring; gas safety evaluation index system; gray correlation method; integrated method; mine gas safety; mine ventilation; safety management; Accidents; Educational institutions; Electrical safety; Humans; Monitoring; Product safety; Production; Security; Technology management; Ventilation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5363588
Filename
5363588
Link To Document