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Ageing management and monitoring of critical equipment at Seveso sites: An ontological approach

机译:Seveso网站的老化管理与监测关键设备:本体论方法

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A safe "ageing" of Seveso establishments is a challenge for both operators and regulators. To this scope, Seveso III Directive required to integrate the equipment integrity issue into the safety management system for the major accident prevention; at the same time, the Italian Authority adopted a short-cut method for a quick ageing evaluation, which awards the application of the best techniques to control integrity and prevent deterioration-related failures. In this paper, the use of the ontology has been proposed to support decision-making about the implementation of technical solutions to control equipment ageing and comply the requirements of the Seveso legislation. To contrast deterioration mechanisms, the rapid development of data intensive smart sensors should be exploited and, in this frame, the automated on-line direct monitoring of equipment conditions, based on innovative low-cost sensors, is a novelty and promising solution. The developed ontology-based system points towards the adoption, when possible, of on-line monitoring. This solution provides much more data than traditional measurements and it is essential for the operators to understand how to merge concurrent information and data and to adequately control equipment deterioration. The ontology-based approach appears a viable solution even for this purpose. To demonstrate its potentiality, a real use-case has been used, where the model has been tested in finding the best technical solutions to improve the ageing management of an atmospheric distillation unit of a refinery in order to comply with safety requirements. A further use-case is given to show how the model can be used to react, after real-time damage signals, to restore safety conditions by means of an adequate decision-making.
机译:SeveSo Eashments的安全“老化”是对运营商和监管机构的挑战。在此范围内,塞维斯三世指令要求将设备诚信问题集成到安全管理系统中,以进行重大事故预防;与此同时,意大利管理局采用了一种快速老化评估的短切法,裁判适用最佳技术来控制完整性,防止与恶化相关的失败。在本文中,已经提出了使用本体论支持关于控制设备老化的技术解决方案的决策,并遵守SeveSO立法的要求。为了对比劣化机制,应利用数据密集型智能传感器的快速发展,并在该框架中,根据创新的低成本传感器,自动在线直接监控设备条件,是一种新颖性和有前途的解决方案。基于本体的基于本体的系统,在可能的在线监测时采用了采用。该解决方案提供比传统测量更多的数据,并且操作员必须了解如何合并并发信息和数据以及充分控制设备恶化。即使为此目的,本体基于本体的方法也出现了可行的解决方案。为了展示其潜力,已经使用了实际用途,其中模型已经过测试了解最佳技术解决方案,以改善炼油厂大气蒸馏单位的老化管理,以符合安全要求。给出了进一步的用例,示出了在实时损伤信号之后如何使用模型来反应,以通过充分的决策恢复安全条件。

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