计算机与现代化 ›› 2009, Vol. 1 ›› Issue (12): 189-192.doi: 10.3969/j.issn.1006-2475.2009.12.053

• 应用与开发 • 上一篇    下一篇

基于Jess的智能诊断系统的设计与实现

丁 鼎,张 帆,赵 斌,阴红志
  

  1. 中国矿业大学机电与信息工程学院,北京 100083
  • 收稿日期:2009-06-04 修回日期:1900-01-01 出版日期:2009-11-27 发布日期:2009-11-27

Design and Implementation of Jess-based Intelligent Diagnosis System

DING Ding, ZHANG Fan, ZHAO Bin, YIN Hong-zhi
  

  1. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, China
  • Received:2009-06-04 Revised:1900-01-01 Online:2009-11-27 Published:2009-11-27

摘要: 介绍了基于Jess的智能诊断系统在矿井局部通风故障领域的设计和实现。简析了如何将规则引擎Jess引入到智能诊断系统的开发当中,同时将统计学原理引入推理机来实现不确定条件下的推理,使系统可以快速、准确地进行故障诊断,对减少瓦斯爆炸事故发生以及提高煤矿通风安全具有积极意义。

关键词: 诊断系统, Jess, 不确定条件下的推理, 事实库, 推理机

Abstract: This paper introduces how to achieve a Jess-based intelligent diagnosis system of local ventilation in the mine field, analyzes how to add rules engine Jess into the development of intelligent diagnosis system, at the same time, it leads the theory of statistics into the inference engine to achieve the reasoning under uncertainty, to reduce the gas explosion in coal mine accident, and to improve the security of ventilation with positive significance.

Key words: diagnosis system, Jess, reasoning under uncertainty, fact base, inference engine

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