Title :
Explore of monitoring data pattern prediction of gas tunnel
Author :
Kang, Xiaobing ; Xu, Mo
Author_Institution :
State Key Lab. of Geohazard Prevention & Geoenvironment Protection, Chengdu Univ. of Technol., Chengdu, China
Abstract :
The Zipingpu tunnel located at the Sichuan province Dujiangyan to the Wenchuan section of 317 state highway, it is the key difficult project in this section. This tunnel is designed for dual-hole, the length of left hole is 4090 m, the right hole is 4060 m, the maximum burying depth surpasses 550 m, it is a high concentration gas tunnel and has appeared several gas abnormal emission phenomenon in the construction. Combination with existing features of gas tunnel monitoring data, this paper carried on the classification to the Zipingpu tunnel massive monitor data to analyze and predicted gas emission tendency, then fined the influencing factor of monitor data, proposed the gas monitor data division type and the prediction model, and practical application in Zipingpu tunnel construction process, prediction result is conform with sample measured data.
Keywords :
condition monitoring; construction; design engineering; pattern classification; process monitoring; tunnels; 317 state highway; Dujiangyan; Sichuan province; Wenchuan section; Zipingpu tunnel construction process; gas abnormal emission phenomenon; gas tunnel; monitoring data pattern prediction; Fuel processing industries; Laboratories; Monitoring; Pattern recognition; Predictive models; Risk management; Time series analysis; fuzzy recognition; gas tunnel; monitoring data; pattern prediction;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965208
