Abstract
Owing to the different consumption habits of people, the market has rapidly changed, and customized demands have increased in recent years. This issue has led to the need for manufacturing industry to improve their production-process automation system control to become faster and more flexible. An intelligent automated production-line control system (IAPLCS) is proposed in this study, in which a graphic control system (GCS) is designed to integrate equipment communications in automated production. This system runs complex packaged programs for function blocks, which enable users to easily build function blocks in GCS. Users can plan the control flow of the system to control the machine operation. Not only is a web interface set in the IAPLCS, which makes it easier for users to operate and monitor, but also Internet-of-Things (IoT) sensors can be added for data collection and analysis based on the characteristics of the production line and equipment. Finally, the proposed control system was implemented in an actual production line to verify its feasibility.
Highlights
A cyber-physical system (CPS) [1] is an integrated system that combines the field of computer computing with sensors, actuators, and computer computing, and these are widely adopted in factories
This study has successfully developed intelligent automated production-line control system (IAPLCS) and applied it to an actual automated production
graphic control system (GCS), which controls the production line, is divided into multiple classes according to the employed functions, and the communication and commands of the controlled equipment are all included
Summary
Many information technologies (e.g., IoT, big data, and cloud computing) have been introduced into traditional industries and have introduced a significant effect on the development of industry 4.0. Along with a growing body of evidence that shows the performance of the physical network manufacturing system, and understands the supporting data-driven decision-making process, there is a large amount of relevant literature by scholars that investigates [2] and analyzes networks of physical, sustainable, intelligent manufacturing systems and sensing technology; and integrated with the sustainable, intelligent manufacturing point of view, we can see that today’s smart and sensing technology becomes very important.
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