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.

Seveso机构的安全“老化”对运营商和监管机构都是一个挑战。为此，Seveso III指令要求将设备完整性问题集成到安全管理系统中，以预防重大事故；同时，意大利当局采用了一种捷径方法进行快速老化评估，该奖项授予应用最佳技术来控制完整性并防止与劣化相关的故障的奖项。在本文中，已提出使用本体来支持有关实施技术解决方案的决策，以控制设备老化并符合Seveso法规的要求。为了对比恶化机制，应该利用数据密集型智能传感器的快速发展，在这种情况下，基于创新的低成本传感器的设备状态自动在线直接监视是一种新颖且有希望的解决方案。所开发的基于本体的系统指出了在可能的情况下采用在线监控。与传统的测量相比，该解决方案提供的数据更多，对于操作员来说，了解如何合并并发信息和数据以及充分控制设备性能下降至关重要。即使基于此目的，基于本体的方法似乎也是可行的解决方案。为了证明其潜力，我们使用了一个实际用例，在该模型中对模型进行了测试，以找到最佳技术解决方案，以改善炼油厂常压蒸馏装置的老化管理，从而符合安全要求。