A Decision Support System for Monitoring Dam Behavior

The development of decision support system for monitoring dam behavior is an important approach to implement the real-time analysis and reasonable diagnosis for dam safety based on prototype observations, thereby realize the effective control of dam life process, viz. construction, operation, aging and end of its useful life. With systems engineering, mathematical and mechanical methods, a decision support system for monitoring dam behavior is developed. It is used to resolve problems over factual data and employ heuristic techniques with the accumulated knowledge. This system was composed of integration control module, intelligent inference engine, support base cluster, information management and input/output modules. Metadata base based on object oriented data model is used to implement the integration of dam safety data from different information sources. The multilevel link style was used to manage model base. Intelligent inference engine is the central processing unit. It can be used to monitor the operation characteristics and diagnose the unexpected behavior. It includes monitoring models, inference model and evaluation model for dam behavior. The proposed system has been used to monitor dam safety successfully. The applications show that the system structure is feasible, the adopted key technologies are effective, and the results are reasonable.