Improving efficiency of industrial maintenance with context aware adaptive authoring in augmented reality

Erkoyuncu, John Ahmet; Amo, Iñigo Fernández del; Mura, Michela Dalle; Roy, Rajkumar; Dini, Gino

doi:10.1016/j.cirp.2017.04.006

Cited by 81 publications

(33 citation statements)

References 6 publications

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“…The relevance of considering the context conditions and develop a context-aware system are emphasized also by Erkoyuncu [76]. In his research, he developed and tested an authoring solution which uses real-time data from sensor to help building new authoring procedure through both a Context-Awareness Module (CAM) and a Context-Data Framework (CDF).…”

Section: By Boxes Automatedmentioning

confidence: 99%

A systematic review of augmented reality applications in maintenance

Palmarini

Erkoyuncu

Roy

et al. 2018

Robotics and Computer-Integrated Manufacturing

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598

232

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Augmented Reality (AR) technologies for supporting maintenance operations have been an academic research topic for around 50 years now. In the last decade, major progresses have been made and the AR technology is getting closer to being implemented in industry. In this paper, the advantages and disadvantages of AR have been explored and quantified in terms of Key Performance Indicators (KPI) for industrial maintenance. Unfortunately, some technical issues still prevent AR from being suitable for industrial applications. This paper aims to show, through the results of a systematic literature review, the current state of the art of AR in maintenance and the most relevant technical limitations. The analysis included filtering from a large number of publications to 30 primary studies published between 1997 and 2017. The results indicate a high fragmentation among hardware, software and AR solutions which lead to a high complexity for selecting and developing AR systems. The results of the study show the areas where AR technology still lacks maturity. Future research directions are also proposed encompassing hardware, tracking and user-AR interaction in industrial maintenance is proposed.

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Section: By Boxes Automatedmentioning

confidence: 99%

A systematic review of augmented reality applications in maintenance

Palmarini

Erkoyuncu

Roy

et al. 2018

Robotics and Computer-Integrated Manufacturing

Self Cite

598

232

View full text Add to dashboard Cite

show abstract

“…The rapid development of portable viewing devices with powerful processing and graphical rendering hardware, e.g., tablets, has resulted in an increased usage of AR as an intuitive user interface for information display and interaction with machines and services in smart factories and shop floors [3,28,29]. In a smart environment, machines, which are SOs, should be capable of operating in a coordinated manner and learning from their operations and events.…”

Section: User-smart Object Interactionmentioning

confidence: 99%

3D bare-hand interactions enabling ubiquitous interactions with smart objects

2020

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Ubiquitous augmented reality (UAR) implementation can benefit smart shop floor operations significantly. UAR from a user's first-person view can support and provide the user with suitable and comprehensive information without him/her being distracted from ongoing tasks. A natural hand-based interaction interface, namely, a mobile bare-hand interface (MBHI), is proposed to assist a user in exploring and navigating a large amount of information for a task in the user's first-person view. The integration of a smart shop floor and UAR-based MBHI is particularly challenging. A real shop floor environment is composed of challenging conditions for the implementation of UAR, e.g., messy backgrounds and significant changes in illumination conditions. Meanwhile, the MBHI is required to provide precise and quick responses to minimize the difficulty of a user's task. In this study, a wearable UAR system integrated with an MBHI is proposed to augment the shop floor environment with smart information. A case study is implemented to demonstrate the practicality and effectiveness of the proposed UAR and MBHI system. Keywords Augmented reality (AR) Á Mobile bare-hand interaction (MBHI) Á Smart objects (SOs) Á Manufacturing shop-floor

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“…With the digitization of the industry and the recent technological advancements of computing and visualization technologies, the opportunity to access actionable information for maintenance operators and engineers provides additional benefits. The increasing integration of ICT technologies in classical automation as well as a constantly increasing digital database enable them to capture information through a real time interaction [6], [7]. According to our experiential knowledge, almost 90% of maintenance practitioners use a notebook as a tool to obtain information for their maintenance tasks.…”

Section: Digital Assistance In Knowledge-based Maintenancementioning

confidence: 99%

A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance

Kovács

Ansari

Geisert

et al. 2018

Machine Learning for Cyber Physical Systems

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Digital transformation and evolution of integrated computational and visualisation technologies lead to new opportunities for reinforcing knowledge-based maintenance through collection, processing and provision of actionable information and recommendations for maintenance operators. Providing actionable information regarding both corrective and preventive maintenance activities at the right time may lead to reduce human failure and improve overall efficiency within maintenance processes. Selecting appropriate digital assistance systems (DAS), however, highly depends on hardware and IT infrastructure, software and interfaces as well as information provision methods such as visualization. The selection procedures can be challenging due to the wide range of services and products available on the market. In particular, underlying machine learning algorithms deployed by each product could provide certain level of intelligence and ultimately could transform diagnostic maintenance capabilities into predictive and prescriptive maintenance. This paper proposes a process-based model to facilitate the selection of suitable DAS for supporting maintenance operations in manufacturing industries. This solution is employed for a structured requirement elicitation from various application domains and ultimately mapping the requirements to existing digital assistance solutions. Using the proposed approach, a (combination of) digital assistance system is selected and linked to maintenance activities. For this purpose, we gain benefit from an in-house process modeling tool utilized for identifying and relating sequence of maintenance activities. Finally, we collect feedback through employing the selected digital assistance system to improve the quality of recommendations and to identify the strengths and weaknesses of each system in association to practical usecases from TU Wien Pilot-Factory Industry 4.0.

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Improving efficiency of industrial maintenance with context aware adaptive authoring in augmented reality

Cited by 81 publications

References 6 publications

A systematic review of augmented reality applications in maintenance

A systematic review of augmented reality applications in maintenance

3D bare-hand interactions enabling ubiquitous interactions with smart objects

A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance

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