Case based reasoning framework for automating HAZOP analysis

ZHAO Jinsong; ZHAO Lihua; CUI Lin; CHEN Mingliang; QIU Tong; CHEN Bingzhen

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Case based reasoning framework for automating HAZOP analysis

更新时间：2025-12-10

- Case based reasoning framework for automating HAZOP analysis
- CIESC Journal Issue 1, Pages: 111-117(2008)
- 作者机构：
  
  1. 北京化工大学信息科学与技术学院
  2. 清华大学化工系
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 January 2008，
  
  Published：05 January 2008
- 稿件说明：
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ZHAO Jinsong, ZHAO Lihua, CUI Lin, et al. Case based reasoning framework for automating HAZOP analysis[J]. CIESC Journal, 2008, (1): 111-117.
DOI：

ZHAO Jinsong, ZHAO Lihua, CUI Lin, et al. Case based reasoning framework for automating HAZOP analysis[J]. CIESC Journal, 2008, (1): 111-117. DOI：

摘要

危险与可操作性（HAZOP）分析是一种广泛应用于化学流程工业的危险分析方法。为克服现有的HAZOP分析专家系统在“非常规”分析方面的局限性，提出了基于案例推理（CBR）的HAZOP分析自动化方法，描述了案例库及案例结构，给出了案例搜索策略。为便于案例库的知识管理，开发了案例构造器。工业实例应用结果表明，基于CBR的HAZOP专家系统突破了现有HAZOP专家系统没有学习能力和不能进行“非常规”分析的技术瓶颈。

Abstract

Hazard and operability (HAZOP) analysis is a widely recognized process hazards analysis (PHA) technique used for hazard identification in the chemical process industry in the world.To overcome the shortage of the existing HAZOP expert systems with regard to “non-routine” analysis

a case based reasoning framework is proposed in this paper.The case base and the structure of cases are briefly described and the case search and matching strategies are presented.To facilitate the management of the knowledge base

a case constructor is developed.The industrial case study demonstrates that the CBR-based HAZOP expert system has overcome the technical bottleneck of the existing HAZOP expert systems in machine learning and “non-routine” HAZOP analysis.

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