Corporate image | Interview with Control Engineering Network: SINSEGYE leads the transformation of general automation and unlocks opportunities for industrial transition
Senior leaders of SINSEGYE
With the wave of industrial intelligence sweeping across the globe, the automation industry has ushered in unprecedented opportunities for transformation. At this critical moment, how can Chinese automation companies seize this historic opportunity, achieve their own leapfrog development, create value for users, promote the upgrading and replacement of the entire industry, and ultimately help build a digital and intelligent new industrial system?
In order to further explore this issue, Control Engineering Network recently conducted interviews with several senior leaders of SINGYE. In this interview, they shared profound insights and unique perspectives on how to seize the pulse of the times and lead change in the field of automation.
-Industrial transition is imminent, PC architecture leads control technology innovation
With the widespread application of vision and AI in industrial fields, the manufacturing process requires higher computer "problem-solving" abilities. The brain end of industrial computers is also beginning to change, shifting from traditional control systems to intelligent control systems centered around industrial intelligent computers, which is bringing a crucial opportunity for industrial transition.
With the changing production demands of users, the types and quantities of industrial field equipment inevitably increase, bringing increasingly high procurement and operation costs to users. When users face the application requirements of intelligent algorithms, they are limited by the limited scalability of the devices and often have to achieve the requirements by stacking hardware, which makes the device system that users need to maintain increasingly complex. In the face of the continuous iteration of processes and algorithms, such traditional models are becoming increasingly inadequate.
Li Bo, the investment and financing director of SINSEGYE, said that with the large-scale application and development of technologies such as chips and AI in industry, it has brought about a transformation in equipment form and design concepts. Firstly, computer devices with more powerful performance and support for open application PC architecture are bound to replace various traditional industrial computing terminals; Secondly, this new type of computer system should have the characteristic of "dual domains", where two domains are responsible for computation and control respectively. This dual core operating system with PC architecture can replace the functionality of multiple devices and achieve "simplification".
SINSEGYE's Director of Investment and Financing, Li Bo, accepted an interview
In this way, tasks that previously required a large number of devices to complete together can now be replaced with just one device. This not only greatly simplifies the system architecture and significantly reduces the number of on-site devices, but also means a significant reduction in hardware procurement and maintenance costs. More importantly, the integration of computation and control can significantly shorten the cycle of the entire computation and control task, making more precise control and faster production line rhythm control possible, thereby achieving significant improvements in production accuracy and efficiency, and bringing more substantial economic benefits to users.
Moreover, in the subsequent algorithm development and iteration, the simplified equipment greatly reduces the workload of engineers in programming and maintenance. For the manufacturing industry that has to be frugal in terms of profit margins, this also means effective cost savings. Investment and Financing Director Li Bo accepted an interview.
In this way, tasks that previously required a large number of devices to complete together can now be replaced with just one device. This not only greatly simplifies the system architecture and significantly reduces the number of on-site devices, but also means a significant reduction in hardware procurement and maintenance costs. More importantly, the integration of computation and control can significantly shorten the cycle of the entire computation and control task, making more precise control and faster production line rhythm control possible, thereby achieving significant improvements in production accuracy and efficiency, and bringing more substantial economic benefits to users.
Moreover, in the subsequent algorithm development and iteration, the simplified equipment greatly reduces the workload of engineers in programming and maintenance. For the manufacturing industry that has to be frugal in terms of profit margins, this also means effective cost savings.
-Industry transformation and upgrading, opening up the demand market for control system innovation
In the face of the trend of intelligence, high-performance, integrated computing and control PC architecture has provided strong technical support for the transformation of industrial control technology. Looking at actual industries, whether they are discrete manufacturing or process industries, they are actively exploring how to achieve industrial upgrading through technological innovation, which opens up practical demand space for the innovation and transformation of control system forms.
Firstly, driven by trends such as intelligent manufacturing and Industry 4.0, the discrete manufacturing industry is undergoing significant changes in industrial control systems. According to He Qing, Vice President of Sales at SINSEGYE, in the past, people mainly relied on the cloud for large-scale data processing and analysis. However, this approach has many limitations, such as high requirements for cloud computing power and data transmission delays. Therefore, more and more enterprises are beginning to shift their computing power to the device and edge sides, achieving integrated computing and control. This not only reduces cloud pressure and improves data processing efficiency, but also ensures real-time and accurate data, providing a more solid foundation for intelligent decision-making.
SINSEGYE's Vice President of Sales, He Qing, accepted an interview
For users in the discrete manufacturing industry, this change in computing power distribution also means that the level of intelligence in the production process will be significantly improved. He Qing pointed out that after the device has a certain computing power, it can complete preliminary data collection, cleaning, and simple analysis locally, effectively reducing the delay and error of data transmission. At the same time, by combining advanced IT technology, automation technology, and communication technology, users can achieve more precise production control and optimization, improve production efficiency, reduce operating costs, and even make new production models such as unmanned factories and black light factories a reality.
Especially in recent years, the increasing demand for customization and personalization has had a profound impact on the production mode of discrete manufacturing industry. Today, many enterprises are shifting towards flexible and modular production models. By dividing the production line into multiple modular units, it can help enterprises quickly adjust production combinations and process configurations according to different customer order requirements, and respond quickly to market changes. In this regard, SINSEGYE has also actively explored and practiced, helping customers achieve the intelligent transformation of customized production by providing intelligent module units and flexible control system solutions.
On the other hand, with the demand for intelligent and efficient transformation and upgrading in the industry, the requirements for control systems in process industries that require high production continuity, safety and stability are also changing. Cui Jianzhao, Vice President of Sales at SINSEGYE, pointed out that currently, in the face of the demand of process industry enterprises to further reduce costs, increase efficiency, and tap into value potential, the trend of intelligence has become the main tone, and the promotion of this trend naturally requires the support of large computing power.
At the same time, with the advancement of technology and intensified market competition, the limitations of traditional DCS systems are gradually becoming apparent. Cui Jianzhao pointed out that taking the control of polycrystalline silicon reduction furnaces as an example, traditional DCS is often inadequate in this field, while intelligent systems can achieve more precise control, thereby improving product quality and production efficiency. This also brings broad development space for PC architecture controllers that integrate computing and control and can provide high computing power support, making them shine in industries such as steel, petroleum and petrochemicals, and new energy.
Cui Jianzhao, Vice President of Sales at SINSEGYE
In this process, SINSEGYE not only has a team of experts in the field of computer technology, but also has a deep understanding of the actual needs of industrial scenarios, thus organically combining the two to provide customized intelligent solutions for customers. This customer-oriented and technology driven development model has enabled SINGYE to stand out in the fierce market competition.
-Riding the wind with artificial intelligence, delving deep into the industry to unleash its potential value
Currently, the flourishing development of new technologies such as artificial intelligence has also brought potential innovation drivers to the industrial sector. As a solid foundation supporting the entire industrial intelligence, how do SINSEGYE's industrial computing devices and operating systems respond to this trend and serve the needs of industry users?
Regarding this, Li Bo mentioned that in the face of the trend of industrial intelligence, the application of high-performance computing devices and artificial intelligence technology can be described as complementary. In this regard, SINSEGYE aims to reduce the difficulty and technical barriers for users in industrial software development and algorithm programming by integrating artificial intelligence technologies such as large models into the programming platform; On the other hand, in response to the practical needs of some customers who hope to apply the capabilities and advantages of artificial intelligence to on-site production lines, SINGYE actively provides strong technical support and empowerment.
Specifically, by introducing artificial intelligence algorithms and technologies, enterprises can achieve intelligent monitoring and optimized control of the production process, improving production efficiency and quality stability. Meanwhile, artificial intelligence can also be applied to multiple aspects such as product design, process optimization, and fault prediction, creating greater value for enterprises. In this regard, SINSEGYE has not only developed a machine vision inspection system based on deep learning, which achieves automatic recognition and classification of product defects, but also utilizes artificial intelligence algorithms to intelligently analyze production data and train predictive models, providing customers with more accurate production optimization suggestions.
For example, in a recent polycrystalline silicon production project, SINSEGYE achieved real-time monitoring and data collection of the production process by embedding intelligent controllers and sensors in the production line equipment. After being processed by edge computing, these data are transferred to the cloud for in-depth analysis and optimization. On this basis, artificial intelligence algorithms have accurately predicted and controlled key indicators such as energy consumption and output in the production process, which not only improves production efficiency but also significantly reduces energy consumption costs. The successful implementation of this project fully demonstrates the importance and feasibility of technological trends such as distributed device intelligence and artificial intelligence for the future manufacturing industry.
System topology diagram of SINSEGYE polycrystalline silicon production project
-Shouldering the mission of "counterattack" and embarking on the path of China's automation self-improvement
It goes without saying that compared to the gradually gaining global advantages in equipment manufacturing, factory production, and other downstream links, Chinese enterprises are still in a relatively weak position in the field of general automation in the upstream industry, and still need to seek opportunities for breakthroughs. In this regard, SINSEGYE has been continuously accumulating strength in technology, talent, funding, and other aspects, competing for independent innovation against world-class manufacturers. Fortunately, benefiting from the enormous opportunities brought by the current industrial transition, the momentum of "catching up from behind" through core technological innovation has begun to emerge.
Li Bo mentioned that in the field of general automation, facing a series of strong international competitors, relying on conventional factors such as price to change users' product choices will inevitably be futile. The reason why SINSEGYE is able to open up a situation when promoting to customers is precisely because it can impress customers and quickly win their interest by relying on products with advanced technology.
This breakthrough is tantamount to pointing out a realistic development path for Chinese enterprises that hope to lead a new round of technological trends in the field of general automation. We also hope that in the future, there will be more Chinese innovative forces like SINSEGYE who will continue to cultivate and make new breakthroughs on the stage of competing for the global general automation industry market.
Source of article: official account of Chinese version of control engineering
Author: Qiao Can