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A knowledge acquisition process to analyse operational problems in solid waste management facilities

机译:用于分析固体废物管理设施中操作问题的知识获取过程

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摘要

The available expertise on managing and operating solid waste management (SWM) facilities varies among countries and among types of facilities. Few experts are willing to record their experience, while few researchers systematically investigate the chains of events that could trigger operational failures in a facility; expertise acquisition and dissemination, in SWM, is neither popular nor easy, despite the great need for it. This paper presents a knowledge acquisition process aimed at capturing, codifying and expanding reliable expertise and propagating it to non-experts. The knowledge engineer (KE), the person performing the acquisition, must identify the events (or causes) that could trigger a failure, determine whether a specific event could trigger more than one failure, and establish how various events are related among themselves and how they are linked to specific operational problems. The proposed process, which utilizes logic diagrams (fault trees) widely used in system safety and reliability analyses, was used for the analysis of 24 common landfill operational problems. The acquired knowledge led to the development of a web-based expert system (Landfill Operation Management Advisor, http://loma.civil.duth.gr), which estimates the occurrence possibility of operational problems, provides advice and suggests solutions.
机译:在国家和设施类型之间,有关管理和操作固体废物管理(SWM)设施的可用专业知识有所不同。很少有专家愿意记录他们的经验,而很少有研究人员系统地调查可能触发设施运行故障的事件链;尽管有很大的需求,但在SWM中获取和传播专业知识既不受欢迎也不​​容易。本文提出了一个知识获取过程,旨在捕获,整理和扩展可靠的专业知识,并将其传播给非专家。知识工程师(KE),即执行获取的人员,必须识别可能触发故障的事件(或原因),确定特定事件是否可以触发多个故障,并确定各种事件之间的关联方式以及如何关联它们与特定的操作问题有关。所提出的过程利用了广泛用于系统安全性和可靠性分析的逻辑图(故障树),用于分析24个常见的垃圾填埋场运营问题。所获得的知识促成了基于Web的专家系统(Landfill Operation Management Advisor,http://loma.civil.duth.gr)的开发,该系统估计了操作问题的可能性,提供了建议并提出了解决方案。

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