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

fYear

2011

fDate

24-26 June 2011

Firstpage

4046

Lastpage

4049

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5965208

Filename

5965208