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JAIT 2022 Vol.13(2): 117-124
doi: 10.12720/jait.13.2.117-124

Implementation of Real Time Data Collection Process Automation Control Using IIoT Applications

Suppachai Howimanporn, Sasithorn Chookaew, and Chaiyaporn Silawatchananai
Department of Teacher Training in Mechanical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

Abstract—There is an ongoing debate between PLC and PC-based controls, and the chances are that process will benefit from integrating industrial data collection with IT. However, choosing to collect production data, specifying and programming machine controls like PLC can be a challenge. Therefore, developing to improve quality and efficiency by integrating communication technologies and databases with automation is an integral part of improving work and product quality. This research presents the application of PLC control devices that are widely used in industry. To develop and communicate with the popular database management system, SQL Server, to increase the efficiency and loss of closed-loop control systems with PID controllers for real-time liquid level control processes containing sensors. Level and a DC electric motor that can adjust the speed of 0-12 VDC using Omron NX 102 PLC according to the IEC 61131-3 standard that supports Industrial Internet of Things (IIoT) and machine-to-machine (M2M) communication to develop and prove. To the potential and ability of the work from the test results, it was found that the use of a database system to communicate control can be applied to control very well. Moreover, when experimenting with the conditions of using the actual liquid flow all the time. The database system can transmit the appropriate control gain to the process, thus satisfying the test results of the water retention of both tanks.
Index Terms—database, automation, programmable logic controller, smart factory, IIoT

Cite: Suppachai Howimanporn, Sasithorn Chookaew, and Chaiyaporn Silawatchananai, "Implementation of Real Time Data Collection Process Automation Control Using IIoT Applications," Journal of Advances in Information Technology, Vol. 13, No. 2, pp. 117-124, April 2022.

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