首页> 外文会议>Conference on hazards : Analysing the past, planning the future >TRIAL OF THE 'HAZID' TOOL FOR COMPUTER-BASED HAZOP EMULATION ON A MEDIUM-SIZED INDUSTRIAL PLANT
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TRIAL OF THE 'HAZID' TOOL FOR COMPUTER-BASED HAZOP EMULATION ON A MEDIUM-SIZED INDUSTRIAL PLANT

机译:中型工厂基于计算机的HAZOP仿真试验

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The HAZID knowledge-based system was developed as part of the EC-funded "STOPHAZ" project, whose brief was to investigate the use of software tools for improving safety in chemical process plants. HAZID models the behaviour of a plant qualitatively, so that the potential hazards of equipment failures can be detected. The models in HAZID are based around the signed directed graph, and hazard identification is driven by a systematic HAZOP-style examination of the causes of all process variable deviations in the model. The potential causes are found by considering all possible fault propagation paths in the plant model being considered, using exhaustive graph search techniques. This paper describes a trial of the HAZID software on the design information from a real medium-sized plant, which has been built and is currently in operation. The objectives were to demonstrate electronic transfer of plant design data from the client's CAD database system to HAZID, to present the results of the HAZID analysis in a structured form as a spreadsheet file, and to show that this type of search-oriented knowledge based system can perform well on a much larger test case plant than had previously been attempted. The trial was successful in respect of each of these objectives, and also provided valuable information to guide future development of the system, which we hope will be made possible by increased interest from potential customers for the HAZID tool.
机译:基于HATID知识的系统是由EC资助的“STOPHAZ”项目的一部分开发的,其简介是调查软件工具来提高化学过程植物安全性。 Hazid模拟了植物的行为定性,因此可以检测到设备故障的潜在危害。 HATID中的模型基于符号指示的图形,危险识别由系统的危险风格检查模型中所有过程变量偏差的原因的驱动。通过考虑使用穷举图搜索技术,通过考虑所考虑的植物模型中的所有可能的故障传播路径来找到潜在的原因。本文介绍了从真正的中型工厂的设计信息上的HATID软件的试验,该工厂已经建成并且目前正在运行中。目标是从客户端的CAD数据库系统向HATID展示工厂设计数据的电子转移,以将结构化表单的HARID分析结果作为电子表格文件呈现,并显示这种面向搜索的知识基于的基于搜索的系统可以在更大的测试案例植物上表现良好,而不是先前已经尝试过。该试验在各项目标方面取得了成功,并提供了有价值的信息,以指导未来的系统发展,我们希望通过潜在客户对HATID工具的利益增加。

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