Creation of extension knowledge base system about intelligent detection in dendrobium huoshanense photosynthesis process

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.