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Internet of Things: Development Intelligent Programmable IoT Controller for Emerging Industry Applications.
Chen, Ti-An; Chen, Shu-Chuan; Tang, William; Chen, Bo-Tsang.
Afiliação
  • Chen TA; Department of Business Administration, JinWen University of Science & Technology, New Taipei City 231307, Taiwan.
  • Chen SC; Department of Business Administration, JinWen University of Science & Technology, New Taipei City 231307, Taiwan.
  • Tang W; Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan.
  • Chen BT; Tsing Hua Youzhu Technology Services Co., Ltd., Taipei 10455, Taiwan.
Sensors (Basel) ; 22(14)2022 Jul 08.
Article em En | MEDLINE | ID: mdl-35890819
ABSTRACT
The Internet of Things (IoT) has become critical to the implementation of Industry 4.0. The successful operation of smart manufacturing depends on the ability to connect everything together. In this research, we applied the TOC (Theory of Constraints) to develop a wireless Wi-Fi intelligent programmable IoT controller that can be connected to and easily control PLCs. By applying the TOC-focused thinking steps to break through their original limitations, the development process guides the user to use the powerful and simple flow language process control syntax to efficiently connect to PLCs and realize the full range of IoT applications. Finally, this research uses oil-water mixer equipment as the target of continuous improvement and verification. The verification results meet the requirements of the default function. The IoT controller developed in this research uses a marine boiler to illustrate the application. The successful development of flow control language by TOC in this research will enable academic research on PLC-derivative applications. The results of this research will help more SMEs to move into smart manufacturing and the new realm of Industry 4.0.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan