Four Major Trends in DCS Development Under Smart Manufacturing

The modern industrial production process is rapidly developing towards large-scale, integrated, complex, and refined directions. Major equipment and significant projects increasingly rely on control systems for operational control.Control systems have become the brain and nervous system of modern industrial production processes, and their development level directly reflects the level of industrial production.Among them, Distributed Control Systems (referred to as “DCS”) are the main force in control systems.

From the perspective of national scientific and technological development, integrating control systems with artificial intelligence technology forms a strong technological support for the transformation and upgrading of national industrial development, seizing the commanding heights of the Fourth Industrial Revolution. This is both an opportunity and a responsibility for technology enterprises in the industry. From the perspective of enterprise development, under the current background of converging basic functions of DCS, industry manufacturers are focusing on the direction of intelligence and smart technology, developing intelligent DCS to strive for a leading position in the new wave of technology.
In the context of smart manufacturing, new technologies such as industrial internet, edge computing, and 5G will have a profound impact on the development of intelligent DCS. We believe that it will have the following technological development trends:
1 Enhance Data Access Capability to Form a Ubiquitous Perception System
With the rapid development of IoT and 5G technology, the scale of industrial perceivable data is experiencing explosive growth, mainly driven by the rapid advancement of detection technology and sensor technology. A large amount of data contains the characteristics of equipment and systems in the industrial field. How to reliably connect various IoT perception data to intelligent DCS while seamlessly integrating data from various third-party systems such as PLCs to achieve ubiquitous perception of generalized industrial process information, forming the data foundation for subsequent processes, has become a fundamental capability requirement for intelligent DCS. For the access method of field data, we believe that “wireless” and “bus” technologies will gradually occupy a larger share.
2 Enhance Industrial Data Analysis and Knowledge Reasoning Capability to Deeply Analyze and Mine Data Value
A large amount of information is embedded in industrial production data. Under the background of ubiquitous data access and integrated monitoring across the factory, intelligent DCS needs to perform real-time analysis on a large volume of data, quickly extracting information and knowledge from the production process. It must possess deep data analysis and information visualization capabilities. The types of data analysis calculations in industrial processes include: control calculations, statistical calculations, modeling calculations, and knowledge calculations (knowledge representation and reasoning). Intelligent DCS should provide convenient and reliable support for the above calculation types and achieve efficient integration design with human-machine interfaces and database systems. Intelligent DCS will gradually become the “intelligent center” at the real-time operation level of the factory.
3 Enhance Process Control Capability to Practicalize Advanced Control Theories and Methods
“Information and knowledge,” as the result of deep analysis of industrial process data, must guide production to be meaningful. Intelligent DCS should be able to interact with underlying devices and subsystems, using advanced control and intelligent control technologies to achieve precise and stable control of processes (rather than merely PID), or provide decision-makers with reliable intelligent and visual guidance recommendations, guiding the production process towards optimization, enhancing production efficiency, and promoting production safety.
Four Major Trends in DCS Development Under Smart Manufacturing
Figure 1: Perception-Analysis-Control Process of Intelligent DCS
4 Enhance Proactive Information Security Capability to Support Wide Area Networking and Form Industrial Interconnected Networks
Under the background of the development of industrial internet and 5G technology, intelligent DCS will further enhance the integrated monitoring capability of the entire factory, forming a unified intelligent “factory node.” On the other hand, various “factory nodes” will further connect and interact, or conduct coordinated control in clusters, such as aggregating data from various power plants, wind farms, hydropower stations, photovoltaic buildings, etc., forming a “regional energy regulation center” for unified data presentation and analysis and guidance, which is a form of realization of “industrial internet.” This requires intelligent DCS to have wide area networking capabilities, providing stable data links and interactions across physical areas and network categories.

Four Major Trends in DCS Development Under Smart Manufacturing

Original source: Control Network

Four Major Trends in DCS Development Under Smart Manufacturing

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