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针对当前沥青混凝土路面施工过程中易出现的各种技术问题 ,但又缺乏沥青混凝土路面施工专家进行现场解决的现状 ,在分析研究路面施工技术特点的基础上 ,结合人工智能中的专家系统技术 ,提出了沥青混凝土路面施工专家系统诊断推理策略。根据提出的知识表示方法选择原则 ,确定了不同施工知识的表示方法和知识存储结构 ,开发了包含多种知识类型且以关系数据库为基础的知识库 ;采用基于可信度理论的不确定推理方法实现了主推理模块 ,并根据沥青混凝土路面施工的推理诊断特点 ,对常用的模糊推理进行了改进 ,建立了基于模糊推理的过滤式推理模型 ;以 Windows 98操作系统作为软件开发平台 ,采用模块化和结构化的程序设计方法 ,研制开发了国内第 1个界面友好、简单实用的沥青混凝土路面施工专家系统 APCES V 1 .0
In view of the various technical problems that are easy to appear in the current asphalt concrete pavement construction process but lacking the status quo of on-site settlement by asphalt pavement construction experts, based on the analysis of the technical characteristics of pavement construction and the expert system technology in artificial intelligence, Put forward the asphalt concrete pavement construction expert system diagnosis reasoning strategy. According to the selection principle of the proposed method of knowledge representation, the method of representing different construction knowledge and the structure of knowledge storage are determined, and a knowledge base containing many knowledge types and based on relational database is developed. Based on the uncertainty reasoning method based on credibility theory The main reasoning module is realized. Based on the inferential diagnosis features of asphalt pavement construction, the commonly used fuzzy inference is improved and a filtering reasoning model based on fuzzy inference is established. The Windows 98 operating system is used as the software development platform, And structured programming methods, developed the first APCES V 1 .0 expert system for asphalt concrete pavement construction in China, which is friendly, simple and practical