Exploiting Augmented Reality to Enhance Piping and Instrumentation Diagrams for Information Retrieval Tasks in Industry 4.0 Maintenance

被引:13
作者
Gattullo, Michele [1 ]
Evangelista, Alessandro [1 ]
Uva, Antonio Emmanuele [1 ]
Fiorentino, Michele [1 ]
Boccaccio, Antonio [1 ]
Manghisi, Vito Modesto [1 ]
机构
[1] Polytech Inst Bari, Dept Mech Math & Management DMMM, I-70126 Bari, Italy
来源
VIRTUAL REALITY AND AUGMENTED REALITY, EUROVR 2019 | 2019年 / 11883卷
关键词
Industry; 4.0; Augmented Reality; Maintenance; Information retrieval; User evaluation;
D O I
10.1007/978-3-030-31908-3_11
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work, we present an Augmented Reality (AR) application for handheld devices that support operators in information retrieval tasks in maintenance procedures in the context of Industry 4.0. Indeed, using AR allows the integration of knowledge-based information, traditionally used by operators and mainly provided in the form of technical drawings, and data available from sensors on the equipment. This approach is suggested by companies, especially Small and Medium-sized Enterprises, that want a gradual introduction of Industry 4.0 technologies within their established practices. We implemented a prototype of the application for the case study of a milling plant. The application augments on a Piping and Instrumentation Diagram (P&ID) of the plant some virtual interactive graphics (hotspots) referenced to specific components drawn. Component data are retrieved, through a user interface, directly from the factory database and displayed on the screen. We evaluated the application through a user study aimed at comparing the AR application with the current practice, based on paper documentation, for an information retrieval task within a maintenance procedure. Results of the study revealed that AR is effective for this task in terms of task time reduction and usability. The AR application was tested both with a tablet and a smartphone, but results revealed that using tablet does not improve user performance in terms of task time, error rate, and usability.
引用
收藏
页码:170 / 180
页数:11
相关论文
共 22 条
[11]  
Jazdi N, 2014, IEEE INT CONF AUTO
[12]   Augmented Reality-assisted Intelligent Window for Cyber-Physical Machine Tools [J].
Liu, Chao ;
Cao, Sheng ;
Tse, Wayne ;
Xu, Xun .
JOURNAL OF MANUFACTURING SYSTEMS, 2017, 44 :280-286
[13]   Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context [J].
Longo, Francesco ;
Nicoletti, Letizia ;
Padovano, Antonio .
COMPUTERS & INDUSTRIAL ENGINEERING, 2017, 113 :144-159
[14]   Integrated Production and Maintenance Scheduling Through Machine Monitoring and Augmented Reality: An Industry 4.0 Approach [J].
Mourtzis, Dimitris ;
Vlachou, Ekaterini ;
Zogopoulos, Vasilios ;
Fotini, Xanthi .
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: THE PATH TO INTELLIGENT, COLLABORATIVE AND SUSTAINABLE MANUFACTURING, 2017, 513 :354-362
[15]   Cognitive, performance, and systems issues for augmented reality applications in manufacturing and maintenance [J].
Neumann, U ;
Majoros, A .
IEEE 1998 VIRTUAL REALITY ANNUAL INTERNATIONAL SYMPOSIUM, PROCEEDINGS, 1998, :4-11
[16]   Cognitive Augmented Reality [J].
Petersen, Nils ;
Stricker, Didier .
COMPUTERS & GRAPHICS-UK, 2015, 53 :82-91
[17]   A Novel Approach for the Combined Use of AR Goggles and Mobile Devices as Communication Tools on the Shopfloor [J].
Pintzos, G. ;
Rentzos, L. ;
Papakostas, N. ;
Chryssolouris, G. .
8TH INTERNATIONAL CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGY - DET 2014 DISRUPTIVE INNOVATION IN MANUFACTURING ENGINEERING TOWARDS THE 4TH INDUSTRIAL REVOLUTION, 2014, 25 :132-137
[18]   Industrial Process Monitoring in the Big Data/Industry 4.0 Era: From Detection, to Diagnosis, to Prognosis [J].
Reis, Marco S. ;
Gins, Geert .
PROCESSES, 2017, 5 (03)
[19]   Augmented Reality as a Tool for Production and Quality Monitoring [J].
Segovia, Daniel ;
Mendoza, Miguel ;
Mendoza, Eloy ;
Gonzalez, Eduardo .
2015 INTERNATIONAL CONFERENCE VIRTUAL AND AUGMENTED REALITY IN EDUCATION, 2015, 75 :291-300
[20]  
Tan W.C., 2016, 2016 IEEE INT C AUT