Title :
Deformation information management of underground engineering based on data mining technology
Author :
Chen, Guoqing ; Su, Guoshao
Author_Institution :
State Key Lab. of Geohazard Prevention & Geoenvironment Protection, Chengdu Univ. of Technol., Chengdu, China
Abstract :
Security management is a urgent problem to solve for underground engineering because of nonlinear characteristics of rock mass. The method of combining data mining and monitoring information is proposed to manage the deformation of surrounding rock. Information recognition model of surrounding rock is established by using the BP neural network which has self-learning ability in the data mining technology, and the output is regard as the recognition results. Information management system of underground engineering is proposed to make decision on management level for recognition results, to make judgments and decisions on steady state of surrounding rock. The results show that this method can improve the accuracy of monitoring and safety of the project construction.
Keywords :
backpropagation; civil engineering computing; data mining; deformation; information management; neural nets; rocks; BP neural network; data mining technology; deformation information management; monitoring information; security management; surrounding rock; underground engineering; Data engineering; Data mining; Data security; Engineering management; Information management; Information security; Monitoring; Neural networks; Steady-state; Systems engineering and theory; data mining; information management; surrounding rock deformation; underground engineering;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478295
