Applying knowledge-based expert systems to provide guidance for the safe storage of coal

Tingxiang Ren , B. Denby , R.N. Singh
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引用次数: 3

Abstract

The application of a prototype knowledge-based expert system for spontaneous heating, essh, in surface coal stockpiling operations is described. A brief review of earlier studies concerning the assessment of self-heating risk in stockpiles is presented. Based upon extensive analyses of the incidents of coal storage problems with spontaneous heating, the paper identifies the significant contributory factors which may have caused them. The stacking and precautionary techniques, or the rules of thumb, accumulated from years of experience and research, with particular reference to the safe storage of coal, are also discussed.

This high level knowledge is further refined and consolidated into a knowledge-based expert system which aims to replicate the reasoning of human experts in reaching a decision. The system assesses the spontaneous combustion risk by using certainty factor techniques. It is capable of identifying common faults and recommending systematic procedures and methods for inexperienced engineers in handling stockpiles being planned, under construction and in use. Future development of the current system in surface mining operations is highlighted.

The approach outlined in this paper offers a new managerial technique and shows how the incidents of spontaneous heating, weathering of coal and environmental impact can be minimized or avoided entirely through appropriate storage and handling, by applying an expert system approach.

应用基于知识的专家系统为煤炭安全储存提供指导
介绍了一个基于知识的自燃专家原型系统essh在露天堆煤作业中的应用。简要回顾了关于评估库存自热风险的早期研究。本文在对自发供暖的储煤问题进行广泛分析的基础上,确定了可能导致这些问题的重要因素。还讨论了从多年的经验和研究中积累的堆叠和预防技术,或经验法则,特别是关于煤炭的安全储存。这种高水平的知识被进一步提炼和整合为一个基于知识的专家系统,旨在复制人类专家在做出决策时的推理。该系统使用确定性因子技术评估自燃风险。它能够识别常见故障,并为缺乏经验的工程师在处理计划中、施工中和使用中的库存时推荐系统的程序和方法。重点介绍了目前露天采矿作业系统的未来发展。本文概述的方法提供了一种新的管理技术,并展示了如何通过应用专家系统方法,通过适当的储存和处理,将自燃、煤炭风化和环境影响事件降至最低或完全避免。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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