Ten Key Development Points Of Intelligent Manufacturing In China In 2019

In 2018, with the introduction of relevant government support policies and the advancement of manufacturing intelligence, China's intelligent manufacturing industry is showing a high speed of development. It is estimated that the market scale will reach 19000 billion yuan in 2019.

Intelligent manufacturing is one of the key points in the wake of the global industrial sector. With the rapid development of 5G, AI, IOT and other technologies, intelligent manufacturing has ushered in the first sunshine in winter.

According to the data, the market scale of China's intelligent manufacturing industry in 2017 was 15150 billion yuan, with a growth rate of 22.6%. With the deepening of research on technology and innovation of products by major enterprises and institutions, it is estimated that the market scale will be 19000 billion yuan in 2019.

With the continuous introduction of policies in the field of intelligent manufacturing, China's manufacturing industry has gradually shifted to the direction of intelligent manufacturing, and has begun to apply cloud computing, big data, robotics and other related technologies.

As one of the main driving forces of China's manufacturing industry, the industry will continue to grow steadily, and the position of China's manufacturing industry will become more and more important.

From the perspective of development prospects, technology convergence, business mode and production safety, China's intelligent manufacturing will meet ten major trends in 2019.

01, safety production will become the top priority.

Industrial core data, key technology patents, enterprise user data and other digital assets have become the core assets of enterprises.

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

When intelligent manufacturing combines many advanced technologies of robots and artificial intelligence, accidents that people can control in time seem to be more simple. However, in the case of increased equipment, how to effectively manage the safety of human-machine interaction is one of the key points.

In addition, after the industrial Internet of things has entered the manufacturing industry, data attacks on industrial Internet of things often happen, so the safety of data and equipment of enterprises is particularly important.

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

In the future, improving the safety of data lifecycle and increasing the trust and willingness of enterprises will become an important basis for the decision of intelligent upgrading of Chinese enterprises.

02, the intelligent manufacturing industry will be expanded step by step.

The application of Intelligent Manufacturing in the automotive industry and 3C electronics has been gradually deepened. When enterprises begin to realize that intelligent manufacturing is an important direction to achieve 2025 of China's manufacturing, digitalization, networking and intellectualization can continuously optimize the output value and efficiency of enterprises, and intelligent manufacturing will further penetrate into petrochemical, textile, machinery and other industries.

03, universal technology will become a breakthrough for AI +.

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

For AI to empower traditional industries, it is easy to solve these needs.

With the accumulation of big data, enterprises can make use of AI to realize the rapid pformation of professional scene, and truly make manufacturing to "smart" pformation.

04, digital twins will rise or rise.

In 2018, the automobile industry was rather sluggish. It was not as "golden nine silver ten" as it used to be. Objectively speaking, the cost from buying a car to raising a car is very high.

Digital twin technology will be the first choice for enterprise digital upgrading and intelligent factory construction. Vehicle companies can solve the problems of complex production process, waste of resources and other high cost problems in the process of R & D, and make digital models at lower cost.

By reducing costs, the auto industry will be able to sell in the next year.

At the same time, the introduction of digital twins technology in the 3C field can also drive the development of the industry.

It is estimated that by 2020, at least 50% years, manufacturers who earn more than 1 billion yuan will start at least one digital twin project for their products or assets.

05, to create accurate and big data closed loop

In recent years, industrial big data has been valued by enterprises. Using big data can tap the hidden value of customers, help enterprises to complete the pformation of time limit customer demand, production system, business mode and decision-making mode.

Big data can help companies achieve 1 from 0, then from 1 to N, and from N to 1 (personalization).

To achieve this model, enterprises need to build a precise data flow loop from the collection, analysis, pformation, feedback and other links.

06, more Internet companies enter intelligent manufacturing.

Internet companies enter the industrial field, that is, "Internet + Intelligent Manufacturing" has achieved initial results.

Aliyun and SIEMENS cooperate to announce the formal entry into the industrial Internet of things, while Baidu intelligent factory and Jingdong intelligent supply chain are all building their own intelligent manufacturing industry.

Internet companies have long time data accumulation and technical advantages. After entering the industrial field, they can bring more technological application scenarios to traditional manufacturing enterprises and accelerate the pformation of enterprise intelligent manufacturing.

07, user needs will guide the pformation of enterprises.

The process of industrial development is changing from user demand of enterprise products to user demand to lead enterprise production. Intelligent manufacturing will change the traditional manufacturing from production to cost reduction and efficiency, and then turn to provide high value-added derivative services, from the provision of intelligent products to intelligent services to achieve value-added enhancement.

08, the industry level industrial Internet platform will take the lead in exploring market-oriented business models.

Due to the limited degree of depth, the market supply and demand do not match the general industry platform, which makes the cloud desire of enterprises not strong, and has yet to explore a mature market-oriented mode.

Due to the dual characteristics of focus and universality, the industry level industrial Internet platform is expected to take the lead in exploring feasible market oriented business models in the face of different needs in various industries of intelligent manufacturing.

09. Focus on intelligent manufacturing solutions and other sub sectors.

Due to the late start of Intelligent Manufacturing in China, the excavation and cultivation of talents and the pressure of funds are the biggest problems facing enterprises. If we want to cut into intelligent manufacturing from several development directions, only big enterprises can afford it.

If SMEs study further from the field of intelligent manufacturing system and other segments, they will become unicorns.

10. The super high value added manufacturing field will become the best entry point for increasing material manufacturing in the industrial field.

The application of additive manufacturing technology in desktop applications and simple technology and large-scale scenes does not have the cost advantage. As the representative of the engine, wind power blades, submarine propellers and so on, the extra high value added, super large customized single product manufacturing field may bring opportunities to increase manufacturing industry in the industrial field in 2019.