Industrial automation control (hereinafter referred to as "industrial control") is related to the overall situation of intelligent manufacturing in China, and its development process has attracted much attention.
Industrial automation control (hereinafter referred to as "industrial control") is related to the overall situation of intelligent manufacturing in China, and its development process has attracted much attention. From November 1 to 3, the third session of 2023 Industrial Control China Conference was held in Wuzhong District, Suzhou City, inviting representatives of government, industry, university and research funds in China's industrial control field to offer suggestions and suggestions on the development trend of the global industrial control industry, and speed up ecological links to boost the high-quality development of the industry. China Industrial Control network, as the cooperative media of the conference, interviewed Mr. Xu Zhe, deputy general manager of Suzhou Major Industrial Big Data Industry Research Institute Co., LTD., to
listen to his latest interpretation of industrial automation and big data, as well as the planning layout for the local market.
In the context of industrial interconnection, the cloud requires data acquisition, storage and intelligent computing, as well as intelligent control. Under this trend, each company has its own thinking in this field.
As Xu introduced, Major
Technology was established in 2000, has a history of 23 years. Based on its own characteristics, the company only does basic software, that is, industrial real-time database. In this starting point, the data management, especially the management of industrial real-time database, has its own understanding. At the same time, the company provides a set of cloud-edge integrated collaborative management software, because there are a lot of data acquisition, storage and calculation in various edge and cloud. If there is no good software to support it to coordinate management, then the intelligent platform is not able to collect and manage related resources, data, computing and security in an orderly and efficient way, and it needs to be managed in an integrated way to open up and achieve
real integration and coordination.
Taking the side end as an example, Xu said, for example, a factory has ten fans, each fan has its own control system and data collection system. If the cloud system does not have the ability to manage and schedule the entire edge system resources well, then it may be necessary to enter these edge systems separately for complex management and maintenance. Before, it was very difficult to operate
in an integrated way.
The first difficulty is that the control system protocols of these
device manufacturers, that is, the communication interfaces, are different from each other. Through our 20 years of accumulation, we have accumulated about 450 categories of agreements, and have accumulated certain experience in the implementation process. In other words, we can share these 450 protocols with the next customer. Once we encounter the same type of equipment and analysis systems, we can quickly help them deploy, which is a capability.
The second difficulty is the efficient storage and compression ability of massive real-time data. This way to store data, first of all to provide seconds, or even milliseconds of mass production data real-time acquisition, a digital factory data acquisition magnitude between one hundred thousand to one million, a group, and even ten million points, BP level data acquisition,
transmission and application scenarios.
Xu said that Suzhou Majer believes that the best way to intelligent software is to integrate the native model. That is, you can combine cloud-side devices, systems, and software with your own systems (physically separate deployment, but logically integrated design). The company has recently provided an integrated approach, using a native approach to integrate the front-end and cloud side ends. At the beginning of the first scenario, the cloud architecture and the compilation structure are one, although the physical separation, but in the entire architecture, through the comprehensive consideration of the software platform, the core real-time database compression algorithm computing power is injected in each link.
This is Majer's understanding of the intelligent platform, rethinking from an
integrated model to an integrated model.
At the end of the interview, Xu said to the readers of the industrial control network that although Suzhou Majer is a company that sinks from real-time database software to control system docking, Majer's label is real-time database. Meijer has been doing this for 23 years, and hopes to reach in-depth cooperation with the industry, whether it is upstream and downstream partners, or edge hardware partners, they can use Meijer's software into the hardware, and jointly
provide customers with high-quality solutions.
