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基于Windows平台的采掘工作面煤与瓦斯突出预测专家系统
引用本文:郝吉生,倪小明. 基于Windows平台的采掘工作面煤与瓦斯突出预测专家系统[J]. 煤炭学报, 2005, 30(2): 141-145
作者姓名:郝吉生  倪小明
作者单位:河南理工大学 资源与环境工程系,河南 焦作,454000
基金项目:河南省自然科学基金资助项目 (994070500),河南理工大学博士基金资助项目 (5905)
摘    要:在全面分析采掘工作面煤与瓦斯突出影响因素的基础上,构建了突出预测推理知识模型;在此基础上借助XF6.1开发工具设计实现了基于Windows平台的采掘工作面煤与瓦斯突出预测专家系统.在知识表达方面采用可视化的、面向对象的“知识体-对象块-构件”的综合知识表示方式和“规则架+规则体”的规则知识表示方法;推理机设计则采用混合推理策略.初步应用表明,本专家系统基本能以“准”专家水平对采掘工作面煤与瓦斯突出作出预测,较以往预测手段预测精度有明显提高.

关 键 词:采掘工作面  煤与瓦斯突出  预测  专家系统  知识模型
文章编号:0253-9993(2005)02-0141-05
收稿时间:2004-08-22
修稿时间:2004-08-22

A expert system for coal and gas outburst prediction of the working face based on Windows
HAO Ji-sheng,NI Xiao-ming. A expert system for coal and gas outburst prediction of the working face based on Windows[J]. Journal of China Coal Society, 2005, 30(2): 141-145
Authors:HAO Ji-sheng  NI Xiao-ming
Abstract:Based on the overall analysis of the influence factors of coal and gas outburst of the working face, an inference knowledge model of coal and gas outburst prediction was constructed. With the developing tool of XF6.1, combined with the visual and user-faced programming methods, a expert system, based on Windows, for coal and gas outburst prediction of the working face was developed. In the expert system, comprehensive knowledge expression method of “Knowledge Object-Object Block-Frame Unit” and rule knowledge expression method of “Rule Frame + Rule Body”  were used to express and memorize the knowledge and experience of the human specialist of domain. Inference engine adopted alternate reasoning strategy. Test running reveals that this system, with the level of expert, can conduct out a satisfactory prediction of coal and gas outburst calamity.
Keywords:working face  coal and gas outburst  predict  expert system  knowledge model
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