Providing an integrated Product-Service System (PSS) supported by Cyber-Physical Systems (CPS), as a smart solution, is increasingly offered by industrial machinery. In this approach, instead of providing products with after-sale services, the value proposition is mostly based on guaranteeing a trustable operation. As a result, capturing and analyzing information from a machine’s condition during its lifespan becomes an essential part of the smart PSS. Enabling this through lifecycle monitoring, sensing devices are at the core of smart PSS. Thus, the optimal configuration of PSS components is a critical step to ensure the efficiency of the solution. PSS design challenges arise because of the differences between characteristics and specifications of the embedded sensing system and the product. To fulfill this challenge, knowledge extraction and reuse from these domains is crucial during the design process. To do so, a sensor ontology is used as the backbone of the PSS knowledge-based framework. The focus of this paper is on defining the embedded sensing systems tailored to industrial PSS and the use of these systems in providing customized services. As part of the ICP4Life platform, the paper presents a sensing system ontology as a framework to support the smart services in industrial machinery PSS. An industrial use case is conducted to validate the efficiency of the proposed ontology and to show the benefits of the ICP4Life platform to reduce time and cost of PSS development processes.

The longtime productivity of an industrial machine is improved by condition-based maintenance strategies. To do this, the integration of sensors and other cyber-physical devices is necessary in order to capture and analyze a machine’s condition through its lifespan. Thus, choosing the best sensor is a critical step to ensure the efficiency of the maintenance process. Indeed, considering the variety of sensors, and their features and performance, a formal classification of a sensor’s domain knowledge is crucial. This classification facilitates the search for and reuse of solutions during the design of a new maintenance service. Following a Knowledge Management methodology, the paper proposes and develops a new sensor ontology that structures the domain knowledge, covering both theoretical and experimental sensor attributes. An industrial case study is conducted to validate the proposed ontology and to demonstrate its utility as a guideline to ease the search of suitable sensors. Based on the ontology, the final solution will be implemented in a shared repository connected to legacy CAD (computer-aided design) systems. The selection of the best sensor is, firstly, obtained by the matching of application requirements and sensor specifications (that are proposed by this sensor repository). Then, it is refined from the experimentation results. The achieved solution is recorded in the sensor repository for future reuse. As a result, the time and cost of the design process of new condition-based maintenance services is reduced.

Un modèle sémantique basé sur l'ingénierie des systèmes pour supporter le cycle de vie des systèmes "Produit-Service": Les Systèmes Produit-Service (PSS) résultent d'une intégration de composants hétérogènes couvrant à la fois des aspects matériels et immatériels (mécanique, électrique,logiciel, processus, organisation, etc.). Le processus de développement d’un PSS est fortement collaboratif impliquant des acteurs métier très variés.Ce caractère interdisciplinaire nécessite des référentiels sémantiques standardisés pour gérer la multitude des points de vue métier et faciliter l’intégration de tous les composants hétérogènes dans un système unique. Ceci est encore plus complexe dans le cas des PSS personnalisables, majoritaires dans le milieu industriel. Malgré les nombreuses méthodologies dans littérature, la gestion des processus de développement du PSS reste encore limitée face à cette complexité. Dans ce contexte, l'Ingénierie des systèmes (IS) pourrait être une solution avantageuse au regard de ses qualités bien prouvé pour la modélisation et la gestion de systèmes complexes. Cette thèse vise à explorer le potentiel d'utilisation de l'Ingénierie des systèmes (IS) comme fondement conceptuel pour représenter d’une façon intégrée tous les différents points de vue métier associés au cycle de vie du PSS. Dans ce cadre, un méta-modèle de PSS est proposé et exemplifié dans des cas industriels. Un modèle ontologique est aussi présenté comme une application d’une partie des modèles pour structurer le référentiel commun de la plateforme ICP4Life.