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Hybrid knowledge representation in a blackboard KBS for liquid retaining structure design

机译:黑板KBS中用于液体保持结构设计的混合知识表示

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This paper highlights the importance of design expertise, for designing liquid retaining structures, including subjective judgments and professional experience. Design of liquid retaining structures has special features different from the others. Being more vulnerable to corrosion problem, they have stringent requirements against serviceability limit state of crack. It is the premise of the study to transferring expert knowledge in a computerized blackboard system. Hybrid knowledge representation schemes, including production rules, object-oriented programming, and procedural methods, are employed to express engineering heuristics and standard design knowledge during the development of the knowledge-based system (KBS) for design of liquid retaining structures. This approach renders it possible to take advantages of the characteristics of each method. The system can provide the user with advice on preliminary design, loading specification, optimized configuration selection and detailed design analysis of liquid retaining structure. It would be beneficial to the field of retaining structure design by focusing on the acquisition and organization of expert knowledge through the development of recent artificial intelligence technology.
机译:本文强调了设计专业知识对于设计液体保持结构的重要性,包括主观判断和专业经验。液体保持结构的设计具有与众不同的特征。由于它们更容易受到腐蚀问题的影响,因此对使用寿命的极限裂纹状态有严格的要求。这是在计算机黑板系统中传输专家知识的前提。混合知识表示方案,包括生产规则,面向对象的程序设计和过程方法,被用于在开发用于液体保持结构的基于知识的系统(KBS)的过程中表达工程试探法和标准设计知识。这种方法使得可以利用每种方法的特性。该系统可以为用户提供有关初步设计,装载规格,优化的配置选择以及液体保持结构的详细设计分析的建议。通过关注最新人工智能技术的发展,专注于专家知识的获取和组织,对保持结构设计领域将是有益的。

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