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IIoT based Augmented Reality for Factory Data Collection and Visualization

Rosales Vizuete, Jonathan P
http://orcid.org/0000-0003-3308-3589
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136317716895

Abstract Details

2020, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
Industrial factory floor data has exponentially increased as more and more processes are automated throughout the different industries. Typically, this data is buried inside the machines and only used internally to monitor and correct the process. Industry 4.0 is a new paradigm that requires accessing this data continuously in order to provide monitoring and feedback of the process and integrate this information with other machines or processes on the factory floor. There is also a need for factory personnel to instantaneously acquire machine data from one or more stations using Augmented Reality methods using smart devices. This thesis proposes a novel method for bringing factory floor data into an Industrial IoT environment where it can then be used for further analyses using a Mixed Reality environment in conjunction with smart handheld devices. The method and the process were implemented and validated on workcenters at the Volvo Truck plant in Hagerstown, Maryland. Data from four different stations at the plant was successfully brought into an IIoT platform and then visualized in real-time using an Augmented Reality (AR) experience through a handheld device or an AR headset with the use of spatial anchors. A software solution was created to automate the configuration process based on some basic information about the station and the desired signals. Performance tests were performed and validated to evaluate the efficiency of the data, any latency in the communication, and to test the feasibility of using spatial anchors in an industrial environment.
Sam Anand, Ph.D. (Committee Chair)
Manish Kumar, Ph.D. (Committee Member)
Massoud (Max) Rabiee, Ph.D. (Committee Member)
57 p.
Engineering
IIoT; Augmented Reality; Factory floor; Industry 4; Mixed Reality; AR

Recommended Citations

Citations

  • Rosales Vizuete, J. P. (2020). IIoT based Augmented Reality for Factory Data Collection and Visualization [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136317716895

    APA Style (7th edition)

  • Rosales Vizuete, Jonathan. IIoT based Augmented Reality for Factory Data Collection and Visualization. 2020. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136317716895.

    MLA Style (8th edition)

  • Rosales Vizuete, Jonathan. "IIoT based Augmented Reality for Factory Data Collection and Visualization." Master's thesis, University of Cincinnati, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136317716895

    Chicago Manual of Style (17th edition)

ucin1592136317716895
429
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This open access ETD is published by University of Cincinnati and OhioLINK.