ARTICLE
29 May 2025
AI-Driven Implementation of Universal Control
Zhi Tang
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1 Sichuan Coal Industry Group Co., LTD, Dazhou 635000, Sichuan, China,
JERA 2025 , 9(3), 193–207; https://doi.org/10.26689/jera.v9i3.10611
© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Control serves the process technology. Therefore, the optimal implementers of process control should be process engineers rather than control engineers. While process engineers best understand the control requirements of the technology, the inherent complexity of control systems has rendered many process engineers incapable of accomplishing these control tasks [1]. The greatest truths are the simplest, from abacus to calculator, from DOS to Windows, each technological revolution has been driven by application-oriented simplification. Can integrated automation in process industries also achieve such extreme simplicity and rapid implementation? This is precisely what this paper aims to explore.

References
Tang Z, 2014, Industrial Process Control Rapid Generation System and Implementation Method, China ZL201410423160.7, amended August 26, 2014, China, viewed April 15, 2025.
Tang Z, 2019, Method for Direct Control Implementation via Process Topology Diagram, China 201910081956.1, amended January 28, 2019, China, viewed April 15, 2025.
Tang Z, 2017, Process-Guided System for Industrial Process Control, China ZL201710257632.X, amended April 19, 2017, China, viewed April 15, 2025.
Peng Y, 2020, Fully Open Industrial Automation Systems Are Emerging, literature, Knowledge Automation.
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