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Hydraulic Engineering Concrete Dam Construction construction simulation systems, the successful application of systems analysis in water conservancy construction, engineers a powerful decision support tool. Concrete Dam Construction construction system is a complex system, the construction process is influenced by internal and external factors, it is difficult to model all structured analysis of the simulation system. Traditional simulation procedures in dealing with logical reasoning, reasoning efficiency, readability and poor. Concrete Dam Construction expert system construction simulation systems using the object-oriented technology, build a prolog inference engine, and has played an efficiency expert system in logical reasoning, based on the the prolog syntax specification knowledge representation readability. Concrete Dam Construction construction simulation system is influenced by many factors, discontinuous activities, is a discrete system simulation. The simulation system time advancing two methods: time step method and event step method. The selected time step method for the characteristics of the water conservancy construction simulation, as well as the existing computer performance, pouring as a concrete dam construction simulation clock method of propulsion. Concrete Dam Construction construction simulation systems using the object-oriented approach to programming, according to the characteristics of the water conservancy project, the simulation system is divided into the production, transportation, pouring three subsystems. Different from the traditional simulation procedures, the expert system has its own characteristics. Expert system typically consists of six parts, the inference engine and knowledge base is the most important part of the expert system. Knowledge is the basis of all intelligent behavior, good knowledge representation method of logical reasoning, high efficiency, and high readability. Pouring concrete dam for water conservancy construction characteristics, combined with the the reasoning machine's design, selected a prolog syntax specification-based knowledge representation, predicate knowledge representation methods and production knowledge representation methods complement each other method of knowledge representation. Backtracking truncated search control strategies to improve the efficiency of prolog inference engine reasoning. Pouring water conservancy concrete dam construction combined with expert systems simulation system, the simulation system, the judge's reasoning is difficult to model expression problem, call prolog inference engine simulation instruction, according to the knowledge base of facts and rules, logical reasoning, and simulation results back to the system, at the same time to refresh the knowledge base. Finally, the Xiaowan dam construction simulation knowledge, the construction of engineering economic significance.
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