Semantic Data Model for Operation and Maintenance of the Engineering Asset

Abstract

Abstract. The management of engineering assets within an organization is a challenging task that aims to optimize their performance through efficient decision making. However, the current asset data management systems suffer from poor system interoperability, data integration issues as well as an enormous amount of stored data, thus preventing a seamless flow of information. The aim of this work is to propose a semantic data model for engineering asset management, focusing on the operation and maintenance phase of its life cycle. Ontologies are proposed because they can capture the semantics of data, create a shared vocabulary to describe the knowledge for sharing in the domain and provide reasoning capabilities. This model will gather all the knowledge necessary to assist in the decision making process in order to improve the asset's availability, longevity and quality of operations.

Current trends on ICT technologies for enterprise information systems

“…Due to the nature of enterprise applications and the information which they provide, the upper ontology has been separated in three parts (sub-models). As illustrated in Figure , ontologies (Koukias, Nadoveza, and Kiritsis 2013;Tan, Goh, and Lee 2010) and graphical representations (Stack 2012) and its processing can be undertaken by adequate middleware at different levels (Knappmayer et al 2013;Perera et al 2014). Context acquisition, modeling, processing and dissemination is now becoming a key element in making efficient use of EIS to offer a high level of customization of delivered services and data (Främling et al 2013;Knoke et al 2013).…”

Semantic technologies for engineering asset life cycle management

“…Based on the work presented above and the available literature in the defined scope of activities, we've developed a semantic data model for the operation and maintenance of an engineering asset (Koukias et al 2012), which can be seen in Figure 6 and was partially used in the FP7 FoF project PLANTCockpit (PLANTCockpit 2012). The dotted line in the middle of the model separates the static asset data, e.g.…”

“…• Asset optimisation (Koukias et al 2012;Nadoveza and Kiritsis 2013) with developments in the framework of the FP7 project PLANTCockpit (www.plantcockpit.eu).…”

Conceptual Framework for a Data Model to Support Asset Management Decision-Making Process

“…Those data models help in structuring the maintenance decision-making process, dealing with alert generation for abnormal conditions of the assets, maintenance strategy definition for the assets, including CBM (condition-based maintenance) programs. Nevertheless, a first attempt to move towards AM decision-making process is recognised in [19], which means enlarging the scope of decision-making along the asset lifecycle Moreover, data models based on object-oriented modelling and, as the next step, ontology, have been proven to be suitable to support problems related to information and data management, especially their integration along the lifecycle [20], [21].…”