Profiling Context Awareness in Mobile and Cloud Based Engineering Asset Management

Abstract

Abstract. This paper presents an analysis of the potential and a methodology for handling context events and adaptations in maintenance services. A significant number of industrial IT systems employ data models and service frameworks whose design specifications where drafted on the basis of functional requirements for non context-aware systems. Such systems were modular in nature but little care was taken for providing data fusion in a context-aware manner. Though system intelligence might have been a feature for a subset of such systems, two major requirements kept implementations away from wider adoption: (i) refactoring and reengineering of the system's base services (ii) customising and modifying the structure of a data model tightly connected with inter-process organisation. This paper discusses a methodology for injecting industrial asset management systems with modelling semantics and software mechanisms that enable context awareness via portable clients and applicationagnostic data fusion services.

An Intelligent Context-aware System for Logistics Asset Supervision Service

“…In literature, several works have been established which attempt to consolidate the concept of context-aware with asset management such as context-awareness predictive maintenance [11], context-aware e-maintenance [12] and context-aware condition monitoring [10]. Two limitations are drawn from previous works: (1) the scope of applicability of proposed concept is limited given the fact that it only concerns partial aspect of the supervision process, For instance, the work of [11] concerns predictive maintenance, it lacks details regards how context been modeled and processed.…”

Modeling the Semantics of Failure Context as a means to offer Context-Adaptive Maintenance Support

“…These must include parameters that compile meaningful context snapshots, which in turn can drive desired adaptations of the system's functionality. Deciding the synthesis of useful contexts for the maintenance domain and extracting the rules and correlations that can effectively boost the performance of maintenance tasks is an intensive modeling process (Nadoveza & Kiritsis, 2013;Pistofidis & Emmanouilidis, 2013). Expanding context modeling further than location awareness and commonly accepted semantics, means producing domain-specific knowledge patterns that can act as triggering mechanisms of service adaptations.…”

Technologies and systems for remote monitoring and diagnosis support

“…As a result, context data models are increasingly adopted by application-focused initiatives that compete in translating maintenance mobility and context awareness into specific benefits for maintenance performance and remote monitoring (Stack, 2012). The facilitation of well-framed context information can leverage the profiling of key maintenance processes and filter the information exchanged between integrated mobile and cloud components (Pistofidis and Emmanouilidis, 2013). Figure 2.8 presents context categories that carry meaningful semantics to adapt maintenance services:…”