上海交通大学学报（英文版） ›› 2012, Vol. 17 ›› Issue (2): 153-160.doi: 10.1007/s12204-012-1245-5

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Creation of Extension Knowledge Base System About Intelligent Detection in Dendrobium Huoshanense Photosynthesis Process

LU Rong-dea * (卢荣德), BAO Yong-shengb (鲍永生), QIN Canb (秦璨), DING Xiang-yua (丁翔宇)   

  1. (a. Teaching Center of Physical Experiments; b. School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China)
  • 出版日期:2012-04-28 发布日期:2012-05-31
  • 通讯作者: LU Rong-dea * (卢荣德), E-mail:lrd@ustc.edu.cn

Creation of Extension Knowledge Base System About Intelligent Detection in Dendrobium Huoshanense Photosynthesis Process

LU Rong-dea * (卢荣德), BAO Yong-shengb (鲍永生), QIN Canb (秦璨), DING Xiang-yua (丁翔宇)   

  1. (a. Teaching Center of Physical Experiments; b. School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China)
  • Online:2012-04-28 Published:2012-05-31
  • Contact: LU Rong-dea * (卢荣德), E-mail:lrd@ustc.edu.cn

摘要： Aiming at the limitations of the existing knowledge representations in intelligent detection, a novel extension-based knowledge representation (EKR) is proposed. The definitions, grammar rules, and formal semantics of EKR are presented. A rhombus solving strategy (RSS) based on EKR is discussed in detail, including creation of the problem oriented model, extension operator, the solution formation of contradictions problem and extended inference of matter-element. A knowledge base system based on EKR and RSS is developed, which is applied in intelligent detection in the Dendrobium huoshanense photosynthesis process (DHPP). More reasonable results are obtained than traditional rule-based system. The EKR is feasible in intelligent detection to solve the limitations of traditional knowledge representations.

关键词: extension knowledge base system, solving strategy, intelligent detection, Dendrobium huoshanense photosynthesis process (DHPP)

Abstract: Aiming at the limitations of the existing knowledge representations in intelligent detection, a novel extension-based knowledge representation (EKR) is proposed. The definitions, grammar rules, and formal semantics of EKR are presented. A rhombus solving strategy (RSS) based on EKR is discussed in detail, including creation of the problem oriented model, extension operator, the solution formation of contradictions problem and extended inference of matter-element. A knowledge base system based on EKR and RSS is developed, which is applied in intelligent detection in the Dendrobium huoshanense photosynthesis process (DHPP). More reasonable results are obtained than traditional rule-based system. The EKR is feasible in intelligent detection to solve the limitations of traditional knowledge representations.

Key words: extension knowledge base system, solving strategy, intelligent detection, Dendrobium huoshanense photosynthesis process (DHPP)

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