“…Portable computing devices have been used for production monitoring for many years. Though initially offered as an integrated instrumentation solution, mobile devices such as PDAs and tablets have been programmed with a mobile capacity to analyze and present data, disconnected from the actual sensing components [43,44]. These solutions introduce concepts, architectures and prototypical implementations for configuring the sensing infrastructure and for presenting certain process and equipment data on mobile devices.…”
Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the Internet of Things (IoT). Nevertheless, the usage of IoT technology for system supported process execution is still constrained by the absence of a common system architecture that manages the communication between both worlds. In this paper, we introduce an integrated approach for IoT-aware business process execution that exploits IoT for BPM by providing IoT data in a process-compatible way, providing an IoT data provenance framework, considering IoT data for interaction in a pre-defined process model, and providing wearable user interfaces with context-specific IoT data provision. The approach has been implemented on top of contemporary BPM modeling concepts and system technology. The introduced technique has evaluated extensively in different use cases in industry.
“…Portable computing devices have been used for production monitoring for many years. Though initially offered as an integrated instrumentation solution, mobile devices such as PDAs and tablets have been programmed with a mobile capacity to analyze and present data, disconnected from the actual sensing components [43,44]. These solutions introduce concepts, architectures and prototypical implementations for configuring the sensing infrastructure and for presenting certain process and equipment data on mobile devices.…”
Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the Internet of Things (IoT). Nevertheless, the usage of IoT technology for system supported process execution is still constrained by the absence of a common system architecture that manages the communication between both worlds. In this paper, we introduce an integrated approach for IoT-aware business process execution that exploits IoT for BPM by providing IoT data in a process-compatible way, providing an IoT data provenance framework, considering IoT data for interaction in a pre-defined process model, and providing wearable user interfaces with context-specific IoT data provision. The approach has been implemented on top of contemporary BPM modeling concepts and system technology. The introduced technique has evaluated extensively in different use cases in industry.
“…Although most of these services are offered by existing systems such as ERP or CMMS, the industrial user would much rather work with a simple device offering a limited but clear set of interaction interfaces to retrieve or enter maintenance data. Thus, the user is empowered to become a dynamic mobile actor, operating in a dynamic environment, carrying the capacity to perform maintenance tasks with the support of ubiquitously available maintenancesupporting IT tools [20,21].…”
Section: Mobile Devices and Distributed Computingmentioning
The landscape of maintenance and asset management has been reshaped as key technology enablers that are making a significant impact on everyday applications. The growing maturing of web-based and semantic maintenance, the ubiquity of mobile and situated computing, and the lowered costs and increased capabilities of wireless sensing and identification technologies are among the enabling technologies having the most significant impact. They are recognized as the key constituents of eMaintenance, the technological framework that empowers organizations to streamline their asset management services and data delivery across the maintenance operations chain. This paper takes a look at these key, contributing technologies, alongside their adoption prospects and current hurdles preventing the wider penetration of eMaintenance in industry.
“…This interoperability form makes Web services one of the most technologies used to design distributed applications. In our case, Web services principle is adopted to establish a distributed mobile maintenance platform [24,25]. As a most important case of web services, our interest is the use of WCF (Windows Communication Foundation).…”
Section: A Web Service For Mobile E-maintenance Systemmentioning
The use of renewable energy is growing significantly around the world. In front of the growing demand for electricity principally for the remote and isolated areas, photovoltaic systems, especially water pumping systems, begin to find great applications. Unfortunately, these systems have faced a number of problems even nowadays: a problem of maintenance and repair. Augmented Reality (short: AR) seems to be a powerful promising technology that can answer to the problem related to the maintenance of photovoltaic pumping systems The introduction of e-maintenance can reduce cost and provide fast and easy access to relevant information for the worker by freeing distance constraints. In this paper, a distributed emaintenance platform based on AR benefits for photovoltaic pumping system is proposed. The distributed aspect of this system will allow the remote collaboration between a remote expert and a worker. Two main aspects are studied and developed. The first aspect addresses a new collaboration strategy based on Service Oriented Architecture (SOA). The second aspect ensures the virtual objects transfer from the remote expert in real time. Experimental results are conducted in a first time in a mini solar station to show the feasibility of the approach.
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