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描述了将专家系统理论应用于分散自律调度集中系统的车站自律机的设计,给出了自律机专家系统的知识库、推理机的构架及原理,并介绍了自律机知识库自学习机制。由于采用了专家系统,从而提高了自律机的自动化和智能化程度。
This paper describes the design of station self-discipline machine which applies expert system theory to decentralized autonomous scheduling centralized system. The knowledge base and reasoning machine architecture and principle of self-discipline expert system are given. The self-learning mechanism of self-regulatory machine knowledge base is also introduced. Thanks to the expert system, the automation and intelligence of the self-discipline machines are increased.