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A model-based framework for automating HAZOP analysis of continuous process plants.

机译：基于模型的框架，用于自动化连续过程工厂的HAZOP分析。

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摘要

Hazard and operability (HAZOP) analysis is the study of systematically identifying every conceivable deviation from the design intent, and all possible abnormal causes, and adverse hazardous consequences that can occur in a chemical plant. This is difficult, labor- and knowledge-intensive, and time-consuming analysis. HAZOP analysis is typically performed by a group of experts poring over the process P&IDs for weeks. An intelligent system for automating this analysis can reduce the time and effort involved, make the analysis more thorough and detailed, and minimize or eliminate possible human errors. Towards that goal, a model-based framework has been developed in which the knowledge required to perform HAZOP analysis is divided into process-specific and process-general components. The process-specific knowledge consists of process materials properties and the process P&ID. The process-general knowledge consists of the HAZOP-Digraph models of the process units which are qualitative causal models developed specifically for hazard identification. These models are developed in a context independent manner so that they can be used in a wide variety of process P&IDs. An inference mechanism is developed for appropriate interaction between these components in order to identify process-specific abnormal causes and adverse consequences. Based on this framework, an expert system called HAZOPExpert has been developed in an object-oriented architecture using the expert system shell G2. The performance of HAZOPExpert was successfully evaluated on various industrial scale petrochemical plant case studies.
机译：危害和可操作性（HAZOP）分析是研究系统地识别设计意图中所有可能的偏差，所有可能的异常原因以及化工厂中可能发生的不利危害后果的研究。这是困难的，劳动和知识密集的且费时的分析。 HAZOP分析通常是由一组专家对过程P＆ID进行数周的研究。用于自动执行此分析的智能系统可以减少所需的时间和精力，使分析更加彻底和详细，并最大程度地减少或消除可能的人为错误。为了实现这个目标，已经开发了基于模型的框架，其中将执行HAZOP分析所需的知识分为特定于过程的部分和特定于过程的部分。特定于过程的知识包括过程材料属性和过程P＆ID。过程通用知识包括过程单元的HAZOP-Digraph模型，这是专门为危害识别而开发的定性因果模型。这些模型以与上下文无关的方式开发，因此可以在各种过程P＆ID中使用。开发了一种推理机制，用于这些组件之间的适当交互，以识别特定于过程的异常原因和不利后果。基于此框架，使用专家系统外壳G2在面向对象的体系结构中开发了名为HAZOPExpert的专家系统。在各种工业规模的石化厂案例研究中成功评估了HAZOPExpert的性能。

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