NDLI: Safety monitoring system of dam based on bionics

Content Provider	IEEE Xplore Digital Library
Author	Zhi-Ping Wen Zhongru-Wu Huai-Zhi Su
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Eng., Nanjing Inst. of Technol., China (Zhi-Ping Wen)
Abstract	Safety monitoring of dam is an integration of information obtaining and processing pattern recognition and knowledge discovery. The information on dam safety needs to be managed, processed and analyzed in real time. Based on the thought of life sciences and systems engineering, a bionics model of dam safety monitoring was proposed. From the viewpoint of a vital and intelligent system, this paper designed a monitoring system of dam safety, which was composed of integration control, comprehensive inference engine, project database, model base, graphics base, and input/output modules. Metadata base based on OODM was used to implement the integration of homogeneous or nonhomogeneous databases storing dam safety data from different information sources. The multilevel link style was adopted to manage model base. This work used the fuzzy theory and artificial neural networks to build the inference models, which can analyze and evaluate the run characteristics of dams. In practice, the proposed system has been used to monitor dam safety successfully. The applications show that the bionics model is feasible, the system structure is reasonable, the proposed key technologies are effective. The systems can supply technical support for improving the level of dam safety management, extending normal run time of dam and voiding dam failure.
Starting Page	1099
Ending Page	1104
File Size	386150
Page Count	6
File Format	PDF
ISBN	0780384032
DOI	10.1109/ICMLC.2004.1382353
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Safety Monitoring Pattern recognition Information analysis Systems engineering and theory Intelligent systems Deductive databases Engines Graphics Fuzzy neural networks
Content Type	Text
Resource Type	Article

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