Gas Concentration Prediction Based on the Measured Data of a Coal Mine Rescue Robot
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The coal mine environment is complex and dangerous after gas accident; then a timely and effective rescue and relief work is necessary.
Hence prediction of gas concentration in front of coal mine rescue robot is an important significance to ensure that the coal mine rescue robot carries out the exploration and search and rescue mission.
In this paper, a gray neural network is proposed to predict the gas concentration 10 meters in front of the coal mine rescue robot based on the gas concentration, temperature, and wind speed of the current position and 1 meter in front.
Subsequently the quantum genetic algorithm optimization gray neural network parameters of the gas concentration prediction method are proposed to get more accurate prediction of the gas concentration in the roadway.
Experimental results show that a gray neural network optimized by the quantum genetic algorithm is more accurate for predicting the gas concentration.
The overall prediction error is 9.12%, and the largest forecasting error is 11.36%; compared with gray neural network, the gas concentration prediction error increases by 55.23%.
This means that the proposed method can better allow the coal mine rescue robot to accurately predict the gas concentration in the coal mine roadway.
American Psychological Association (APA)
Ma, Xiliang& Zhu, Hua. 2016. Gas Concentration Prediction Based on the Measured Data of a Coal Mine Rescue Robot. Journal of Robotics،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110283
Modern Language Association (MLA)
Ma, Xiliang& Zhu, Hua. Gas Concentration Prediction Based on the Measured Data of a Coal Mine Rescue Robot. Journal of Robotics No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1110283
American Medical Association (AMA)
Ma, Xiliang& Zhu, Hua. Gas Concentration Prediction Based on the Measured Data of a Coal Mine Rescue Robot. Journal of Robotics. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110283
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110283