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Probabilistic Prediction of Mine Dynamic Disaster Risk Based on Multiple Factor Pattern Recognition
Joint Authors
Tianwei, Lan
Hongwei, Zhang
Batugin, A. C.
Fan, Chaojun
Li, Sheng
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-18
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Rock burst and coal and gas outburst are the most serious dynamic disasters in coal mine and are affected by many factors, such as mining engineering environment.
In order to accurately predict the risk area of mine dynamic disasters, a series of impact factors and events are classified, and the spatial data of these factors are managed on the basis of identifying the internal relationship between the impact factors and the disasters.
A multifactor pattern recognition model is established by artificial intelligence.
The risk probability prediction criteria of mine dynamic disasters and the risk probability values of each unit in the prediction area are determined by using the method of neural network and fuzzy mathematics.
The dangerous area, threat area, and safety area of mine dynamic disasters are divided to evaluate the dangerous degree.
The corresponding control measures for different dangerous areas are also put forward.
Application of the prediction method of mine dynamic disaster factors based on pattern recognition, to improve the implementation of mine dynamic disaster prediction and controlling measures, guarantees the safe production of the coal mine.
American Psychological Association (APA)
Tianwei, Lan& Fan, Chaojun& Li, Sheng& Hongwei, Zhang& Batugin, A. C.. 2018. Probabilistic Prediction of Mine Dynamic Disaster Risk Based on Multiple Factor Pattern Recognition. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1116604
Modern Language Association (MLA)
Tianwei, Lan…[et al.]. Probabilistic Prediction of Mine Dynamic Disaster Risk Based on Multiple Factor Pattern Recognition. Advances in Civil Engineering No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1116604
American Medical Association (AMA)
Tianwei, Lan& Fan, Chaojun& Li, Sheng& Hongwei, Zhang& Batugin, A. C.. Probabilistic Prediction of Mine Dynamic Disaster Risk Based on Multiple Factor Pattern Recognition. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1116604
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116604