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Ten Key Points of China’s Intelligent Manufacturing in 2019


Reprinted from:Guide to China’s Smart Cities

In 2018, with the introduction of the relevant supporting policies of our government and the advance of the intelligent process of the manufacturing industry, the intelligent manufacturing industry in China is now in a state of high-speed development, and it is expected that the market scale in 2019 will reach 19billion yuan.

Intelligent manufacturing is one of the close points of the global industrial industry. In the rapid development of 5G, artificial intelligence, internet of things and other technologies, the intelligent manufacturing is the first sunshine in winter.

According to the data, the market size of China’s intelligent manufacturing industry in 2017 is 1.515 trillion yuan, with a growth rate of 22.6 percent. As the research on technology is deeper and the products are more innovative by major enterprises and institutions, the market size is expected to be 1.9 trillion yuan in 2019.

With the continuous introduction of policies in the field of intelligent manufacturing, China’s manufacturing industry is gradually transforming into intelligent manufacturing, and began to apply a large number of cloud computing, big data, robotics and other related technologies. As one of the main drivers of China’s manufacturing industry, the introduction of favorable policies, the industry will continue to grow steadily, China’s manufacturing industry will play an increasingly important role.
From the development prospects, technology integration, business model and production safety, China’s intelligent manufacturing in 2019 will meet the top ten trends.

Safety in production will be the most important

Digital assets such as industrial core data, key technology patents and enterprise user data have become the core assets of enterprises.

As the primary guarantee of production, safety has always been a top concern for governments and employees.

When intelligent manufacturing integrates robots and artificial intelligence with many cutting-edge technologies, it seems simpler to manage accidents in a timely manner, but with more devices, how to effectively manage the safety of human-computer interactionist is one of the key points.

In addition, after the industrial Internet of Things into the manufacturing industry, the industrial Internet of Things is often attacked by data, so the enterprise’s equipment, products and other data security is also particularly important.

At present, China’s data security regulatory system and supervision mechanism is not perfect, to a certain extent, inhibited the pace of intelligent upgrading of enterprises.

In the future, improving the security of data life cycle and increasing the trust and willingness of enterprises on the cloud will become an important basis for the decision-making of intelligent upgrading of Chinese enterprises.

The Intelligent Manufacturing Industry will expand one step further

The application of intelligent manufacturing in automobile industry and 3C electronics field has been gradually deepened. When enterprises begin to realize that intelligent manufacturing is an important direction to realize 2025 of manufacturing in China, digitization, networking and intelligence can continuously optimize the output value and efficiency of enterprises. Intelligent manufacturing will further permeate petrochemical, textile, machinery and other industries.

Universal Technology may be the Breakthrough of AI+

Under the vigorous development of customized flexible manufacturing and multi-scene production, the general technology can not meet the production needs.

These needs can be easily addressed in AI extostee to traditional industries. In the accumulation of large data, enterprises can use AI to achieve the rapid transformation of professional scenarios, and truly make manufacturing to “smart” transformation.

Digital twin technology may rise

In 2018, the automobile industry was more depressed, and did not have the same “gold, nine silver and ten” as in previous years. Objectively speaking, the cost from buying a car to keeping a car is very high.

Digital twinning technology will be the first choice of enterprise digital upgrading and intelligent factory construction. Through these technologies, car enterprises can solve the problems of high cost caused by complex production process and waste of resources in the research and development process, and make digital model at lower cost.
By reducing costs, the auto industry is on track for sales next year. At the same time, the introduction of digital twin technology in 3C can also drive the development of the industry.

Manufacturers with at least 50 per cent annual revenue of more than 1 billion yuan are expected to start at least one digital twin project for their products or assets by 2020.

Create a precision big data closed loop

In recent years, industrial big data has been paid more and more attention by enterprises. Big data can excavate the hidden customer value and help enterprises complete the transformation of time-bound customer demand, production system, business model and decision-making mode. Big data can help enterprises from 0 to 1, then from 1 to N, from N to 1 (personalized).
In order to realize this model, it is necessary for enterprises to construct accurate data flow closed loop from collection, analysis, transformation, feedback and so on.

More Internet enterprises into intelligent manufacturing

Internet enterprises into the industrial field, that is, “Internet intelligent manufacturing” has achieved preliminary results. Ariyun teamed up with Siemens to announce the official entry into the Industrial Internet of things, while Baidu Smart Factory and JD.com Smart supply chain are building their own intelligent manufacturing industry.

Internet enterprises have long-term data accumulation and technical advantages. After entering the industrial field, Internet enterprises can bring more technology application scenarios to traditional manufacturing enterprises and accelerate the transformation of enterprise intelligent manufacturing.

The user’s needs will lead to the transformation of the enterprise

The process of industrial development is changing from enterprise product traction user demand to user demand leading enterprise production. Intelligent manufacturing will change traditional manufacturing from production link to reduce cost and increase efficiency, and then to provide high value-added derivative services, from providing intelligent products to intelligent services to achieve added value.
Industry-level Industrial Internet platform will take the lead in exploring Market-oriented Business Model

Due to the limited depth of universal industry platform and the mismatch between market supply and demand, the willingness of enterprises to cloud is not strong, and the mature marketization model has not yet been explored.

Industry-level industrial internet platform is expected to be the first to explore a feasible market-oriented business model in the face of the different needs of intelligent manufacturing industries because of its dual characteristics of focusing and universal application.

Focus on industry segments such as intelligent manufacturing solutions

Because of the late start of intelligent manufacturing in China, the mining and training of talents and the pressure of capital are the biggest problems faced by enterprises. If intelligent manufacturing is cut into several development directions, perhaps only large enterprises can afford it.

If small and medium-sized enterprises from intelligent manufacturing systems and other sub-areas of in-depth research will be expected to become unicorns.

The ultra-high value-added manufacturing field will be the optimal entry point for additive manufacturing in the industrial sector

The application of material addition manufacturing technology in desktop level applications and simple process large-scale scenarios does not have the cost advantage, but as the ultra-high added value represented by engine, wind turbine blade, submarine propeller and so on, the field of super-large customized single product manufacturing may bring opportunities to material addition manufacturing in industrial field in 2019.