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Intelligent Measurement and Monitoring by Integrating Fieldbus and Robotic Arm

Wen-Tsai Sung1, Sung-Jung Hsiao2,*

1 Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung, 411030, Taiwan
2 Department of Information Technology, Takming University of Science and Technology, Taipei City, 11451, Taiwan

* Corresponding Author: Sung-Jung Hsiao. Email: email

Intelligent Automation & Soft Computing 2022, 34(3), 1737-1753. https://doi.org/10.32604/iasc.2022.026055

Abstract

In response to the rapid global development of industrial technologies and the resulting rapid growth in the production lines of industry and manufacturing, traditional manufacturing must become intelligent and automated, and undergo the process of informatization. Machines can reduce human errors, replace manpower, and even work better than manpower in certain aspects. Over recent years, the Internet of Things (IoT) has been applied in a wide range of fields. IoT helps control all the production information of factories in real time, and accordingly, reduces labor cost, improves quality, efficiently handles exceptions, and swiftly meets market demands, and how to achieve such a goal is a focus of current studies. This study proposes an IoT-based communication system that can monitor the operations of robotic arms and return data to users through a system interface in real time. This communication system is based on Fieldbus as the system architecture, and utilizes HIWIN Company (HI-tech WINner) Robot System Software (HRSS) and an electric gripper’s intelligent measurement function to collect and analyze data. On this basis, this study efficiently determines whether the quality of products meets the standard, and uses the Weintek human-machine interface to remotely adjust robotic arms to achieve intelligent monitoring.

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Cite This Article

W. Sung and S. Hsiao, "Intelligent measurement and monitoring by integrating fieldbus and robotic arm," Intelligent Automation & Soft Computing, vol. 34, no.3, pp. 1737–1753, 2022. https://doi.org/10.32604/iasc.2022.026055



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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