Study on Safety Risk Identification System (SRIS) for Metro Construction

Abstract:

Metro construction is gradually moving into high gear in China. However, safety incidents in metro projects have occurred frequently in recent years. Risk identification is crucial to safe construction. In order to solve problems in the current approach of risk identification, such as too much reliance on expert participation, low efficiency and so on. Safety Risk Identification System (SRIS), a combination of expert system technology and risk identification method, is researched and developed for metro construction. Through the knowledge integration process, fragmented and dispersed experiential knowledge in risk identification field on metro construction, is changed into rule base which can be directly invoked. By this way, SRIS helps realize knowledge sharing as well as risk identification automation, with important practical significance for safe construction nowadays.

• Periodical: Advanced Materials Research (Volumes 452-453)
• Pages: 264-268
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.452-453.264
• Online since: January 2012
• Authors: Li Mao Zhang, Xian Guo Wu
• Keywords: Expert System, Knowledge Base, Metro Construction, Risk Identification, Safety Risk

References

[1] QIAN Qi-hu，RONG Xiao-li．State，Issues and Relevant Recommendations for Security Risk Management of China's Underground Engineering[J]．Chinese Journal of Rock Mechanics and Engineering，2008，27(4)：647-655．in Chinese.

[2] Soren Degn Eskesen，Per Tengborg, et al．Guidelines for tunneling risk management：International tunneling association working group No. 2[J]. Tunneling and Underground Space Technology, 2004, 19, pp.217-237.

DOI: 10.1016/j.tust.2004.01.001

[3] The International Tunneling Insurance Group, A code of practice for risk management of tunnel works, January 2006. Available: http: /www. munichre. com/publications/ tunnel_code_of_practice_en. pdf.

[4] JIA Jia-ling，WANG Meng-shu，ZHANG Ding-li．Fuzzy Analysis of Construction Risk in Xidan Highway Grade Separation Project [J]．China Safety Science Journal，2004，14(12)：9-13．in Chinese.

[5] Zhou Hong-bo，Cai Lai-bing，Gao Wen-jie．Risk Identification and Sensitivity Analysis of Leakage of Lurry Wall for Deep Excavations [J]．Industrial Construction，2009，39(4)：84-87．in Chinese.

[6] Yu. C.W. ，Chern. J.C. Expert system for D&B tunnel construction [A] ．Proceedings of the 33rd ITA-AITES World Tunnel Congress - Underground Space - The 4th Dimension of Metropolises [C]．2007，799-803.

DOI: 10.1201/noe0415408073.ch132

[7] ZHOU Jiawu，LIU Yuanxue，CHEN Chen，WANG Peiyong． Stability of Surrounding Rock Evaluating Expert System Based on Rough Set Theory [J]．Journal of Underground Space and Engineering，2008，4(6)：1142～1147．in Chinese.

[8] Nigel J. Smith，Tony Merna，Paul Jobling．Managing Risk in Construction Projects [M] ．India：Replka Press，Pvt Ltd，Kundli，2006.

[9] DING Lie-yun, YU Hongliang, Wu Xianguo, et al. The Metro Construction Drawings Recognition for Risk Identification. Proceedings of 2010 International Conference on Computational Intelligence and Software Engineering[C]．2010，658-665.

DOI: 10.1109/cise.2010.5676943

[10] LI Lei，GA0 Tie-man．Tne Theory and Realization of Production Rules Expert Systems [J]．Microcompuier Applications，2006，27（5）：631-633．in Chinese.

[11] Liang Bao-song, CAO Dian-sheng. Fuzzy sets and applications [M]. Beijing: Science Press, 2007．in Chinese.