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Computer Engineering ›› 2007, Vol. 33 ›› Issue (01): 195-197. doi: 10.3969/j.issn.1000-3428.2007.01.068

• Artificial Intelligence and Recognition Technology • Previous Articles     Next Articles

Early-warning Expert Based on MAS for Maintenance Errors in Civil Aviation

GAO Shu   

  1. (School of Computer Science, Wuhan University of Technology (Yujiatou), Wuhan 430063)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-01-05 Published:2007-01-05

基于MAS的航空机务维修差错预警专家系统

高 曙   

  1. (武汉理工大学(余家头校区)计算机学院,武汉 430063)

Abstract: Maintenance in aviation is one of the important factor related to the safety and efficiency of civil aviation, and is the base for flight as well. It is necessary to build an early warning expert system for maintenance errors in civil aviation. The paper introduces the method based on the rule-based uncertainty reasoning and case-based reasoning in the field of early warning expert system for maintenance errors in civil aviation by means of Agent technology. It describes the architecture of the early warning expert system and the main implementation technique. The research gives a new idea and foundation for further study of early warning for maintenance errors in civil aviation.

Key words: Maintenance errors in aviation, Early-warning management, Expert system, Jess, Case-based reasoning

摘要: 机务维修是关系到民用航空安全和效益的重要因素之一,是飞行安全的基础,因此迫切需要建立航空机务维修差错预警专家系统。采用Agent技术作为低层支撑技术,将基于规则的不确定性推理和基于案例推理的预警方法引入航空机务维修差错预警领域,给出了总体结构的设计以及关键技术的实现,从而为航空机务维修差错预警提供了一种新的思路和方法。

关键词: 航空机务维修, 预警管理, 专家系统, Jess, 基于案例的推理