The opportunities and challenges of intelligent manufacturing

At present, digitalization and intelligence is a global development trend, our country has made a certain breakthrough in the field of intelligent manufacturing, but in key technologies and core components and so on, we still have a certain gap with the developed countries, in the road of development there are still many difficulties and obstacles, which brings us a lot of challenges to our future work.

On the topic of how to view these opportunities and challenges, Liu Tongjie said that in the past ten years, the national economy has shifted from virtual to real, the rise of manufacturing industry has brought huge customer groups and investment volume, at the same time, with the global strategic contraction and the emergence of anti-globalization trend, all walks of life have set off a wave of localization. These conditions contribute to our national science and technology enterprises as a rare opportunity for development.

When it comes to challenges, there are three main aspects:

The first is bottlenecks in areas such as high-performance chip manufacturing and high-end software design tools.
Secondly, the diversity of technical scenes in the industrial market and the high customization of product application make it difficult to unify the technical standards of industrial intelligent manufacturing and establish a complete ecology in a short time.
Finally, the level of industrial users’ infrastructure is uneven, and there are great differences in technical capabilities. Some users are still in the mechanized level or even manual state. Our goal is to complete the transformation of enterprise intelligence through the combination of automation, information technology and digital technology.
All of the above three difficulties and challenges need to be solved one by one with a positive attitude and pragmatic approach, so that we can break through the difficulties and move forward on the road of intelligent manufacturing.

Look into the future of intelligent manufacturing

Liu Tongjie shared two ideas in thinking about the future development of intelligent manufacturing.

First of all, Liu Tongjie cited the views of Professor Ning Zhenbo, chief consultant of China Aviation Corporation, and proposed that the essence of intelligent manufacturing is the industrial basis of software and the production relationship defined by software. In the process of promoting intelligent manufacturing, we should keep a good grasp of logic and timing. We should first talk about digitalization, then intellectualization, and finally intellectualization. In other words, we should first do the basic work well, first do the digital model well, and then focus on developing concrete intelligent applications. Finally, when all the technical conditions are available and all the management philosophy is in place, the real sense of intelligent decision-making ability should be developed around vague and diversified value orientation.

Secondly, in today’s era, with the rapid development of big data and artificial intelligence, the rise of ChatGPT has brought challenges to many jobs, anxiety and crisis to many people. Where the world will go in the future, we can not yet give a definitive conclusion, but there is a clear competitiveness that we need to be aware of, that is, “the ability to ask questions”. For personal cultivation and growth, we need to improve our observation and understanding, and we need to learn how to use artificial intelligence deeply. For the enterprise, we need to build good insight into the user needs of the personnel and team, as well as the establishment of a broad integration of AGI general artificial intelligence engine product system, so that will greatly support our ability to survive in the era of intelligence.

The arrival of the intelligent era provides a broad development direction for the development of digital industrialization and industrial digitization, and also gives unlimited power to the development and innovation of intelligent manufacturing and intelligent factory. The exchanges with the participants in the industry, experts and scholars have strengthened Hollysys’ high confidence in the layout of the intelligent manufacturing industry. In the future, Hollysys will continue to adopt the best practice and enterprise model of the previous implementation projects, while striving to cultivate talents to adapt to the challenges of artificial intelligence, organic combination of industrial Internet, industrial big data, artificial intelligence (AI) and other advanced technologies, to create an internationally leading and domestically unique security integrated intelligent factory platform program. We will push the manufacturing industry into a new era of smart, environmental protection and high efficiency.