Safety monitoring system of dam based on bionics

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.