An Advanced System for the Visualisation and Prediction of Equipment Ageing

Giuseppa Ancione, Rebecca Saitta, Paolo Bragatto, Giacomo Fiumara and Maria Francesca Milazzo
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Giuseppa Ancione: Dipartimento di Ingegneria, University of Messina, 98166 Messina, Italy
Rebecca Saitta: Dipartimento di Ingegneria, University of Messina, 98166 Messina, Italy
Paolo Bragatto: Dipartimento Innovazioni Tecnologiche INAIL, 00078 Monteporzio Catone, Italy
Giacomo Fiumara: Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, University of Messina, 98166 Messina, Italy
Maria Francesca Milazzo: Dipartimento di Ingegneria, University of Messina, 98166 Messina, Italy

Sustainability, 2022, vol. 14, issue 10, 1-14

Abstract: The control of major hazards involving dangerous substances in the chemical and process industry requires verifying equipment ageing according to the current legislation. This means to monitor its real conditions regarding degradation mechanisms and forecast their evolution over time. A system, named Virtual Sensor, supports this activity that is usually conducted during on-field inspections (safety walks). It is designed to collect ageing-related information, process data through some models, and produce prognostic estimates regarding the corrosion rate, the probability of the critical pit, the corrosion evolution on the equipment surface, and the residual lifetime, visualising the results in Augmented Reality (AR). An atmospheric storage tank of diesel oil was chosen as the case study; its 3D model was realised, and a miniature model was reproduced in the laboratory. Through the Virtual Sensor, data of past inspections were acquired. The application successfully managed and elaborated these data, showing the outputs in AR during a safety walk.

Keywords: ageing; major hazard establishment; inspector; corrosion; failure probability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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