| The research content of this article is applied research of expert system technologies in beautifying the body diagnosis. The propose is to design a utility fault diagnosis expert system that can position the faulty accurately, whose name is beautifying the body expert system for universities and colleges, to decrease the dependence for experts and to increase the efficiency and effect. This article introduced and analyzed briefly the key techniques of expert system, including knowledge representation methods, reasoning technologies, interpretive mechanism. Based on analyzing actual diagnosis of beautifying the body, we summarized rulers of diagnosis, chose production systems and framework systems to represent knowledge synthetically, analyzed methods to organize knowledge base using database technologies, and implemented the interface of .NET programming language and SQL Server database, which made operation of knowledge easy. In this article, we used rules reasoning machine based on production systems and reasoning machine control strategies based on framework systems, established two reasoning machines: in common use knowledge reasoning machine and colligation reasoning machine, and improved the flexibility and the ability of diagnosis. Combined the points of the systems, we used preset text and path track interpretive mechanisms, researched and implemented the self-teaching function of the knowledge base, improved the efficiency of system's operation efficiency, researched and implemented object oriented programming, used classes to separate reasoning machines, increased the universality of the system, and decrease the redundancy of the code. The system used visible and object oriented programming methods, which decreased the development periodicity and increased the ability of human-computer interaction. This article implemented the test prototype of the Beautifying the Body Expert System for Universities and Colleges, and accomplished the research purpose.
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