Internet of Things (IoT) technology continues to evolve, and Schneider Electric executives believe that automation has evolved from traditional control to Cyber ​​Physical, independent and self-optimizing systems, and that operators are designing systems due to advances in computing power. It can better meet the real needs of the industry.
According to reports, Schneider vice president Peter MarTIn said that technology has come to the point of evolution, especially digital technology. For example, 30 years ago, when designing control systems, most of the design categories were subject to technical capabilities, price, size, and heat dissipation, but the current $20 Raspberry Pi has more than the 1970s. 1 million times the ability.
MarTIn pointed out that the above development gives the company the opportunity to rethink how to design solutions for customers, so Schneider can also add more control at the asset level, and not only in machine or process control, but also to add stability control, network security Control, safety control, environmental threat control, efficiency control and profitability control.
At present, technology has brought about a so-called whiteboard opportunity, because the premise of the development of the automation industry over the past 40 years is that the programmable logic controller or the decentralized control system is a hypothetical fact, the advent of new technology It is used to repair, improve or extend the above controllers, but the current technology has entered the point of directly erasing the whiteboard and re-entering it.
In the case of Industry 4.0, one of the greatest concepts is the virtual reality system, which has all the small and single and independent computers that can be assigned to single entity sensor inputs and actuator outputs such as pumps. MarTIn also believes that there will be a huge change in the design of the control system, which will push the computing power to the boundary and directly reach the customer's assets through the network layer.
Currently, individual technologies such as Digital Twin are quite important, but in general, the industry is already at an important transition point on how to think about architectural automation solutions. The so-called virtual and real-life assets mean that machines or equipment such as pumps are assembled into a unit of work or a program unit. After each asset is composed of independent assets, as long as they are integrated, the amount of control required will be reduced.
From the perspective of Google or Tesla self-driving, the ability to automate a vehicle that is not intelligent is to allow real-time control of steering, speed, braking and power transmission. The same principle can also be applied to industrial assets, and the concept of virtual and real assets combined with the control model to create self-optimized assets.
What the control model needs is real-time cybersecurity threat control, stability, security, environment, efficiency, and profitability. Once these six control areas are combined with assets, self-optimized assets can be built.
In this way, not only can controllers be developed to have broader control, automation and control will also transform from supporting assets to profitable assets, and from observing past and present data, it is also possible to understand whether assets are working well or not. good.
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