Electronic intelligent manufacturing: how to explore the future under new technologies and new management trends?

Innovation is the first driving force for development. In recent years, the digitalization and intelligentization of the manufacturing industry has continued to heat up, and the new generation of information technologies such as artificial intelligence, 5G, and big data have been deeply integrated with the manufacturing industry, giving birth to the new concept of intelligent manufacturing.

In this context, on March 31st, the 2021 Electronics Exhibition was organized by EIMS Shenzhen Electronic Intelligent Manufacturing Exhibition, hosted by CEConline, ITES Shenzhen Industrial Exhibition, SIMM Shenzhen Machinery Exhibition, and specially supported by Global Sources. The smart manufacturing industry summit opened. The conference focused on the theme of "innovation and ingenuity today and the future", adhering to the characteristics of international, professional, advanced and high-end, and discussed the latest development direction, technology trends, important cases and cooperation of electronic intelligent manufacturing. opportunities, etc. to conduct in-depth discussions and extensive exchanges. The conference attracted 200 guests from various fields such as enterprises, industry associations, universities and scientific research institutions to communicate and learn.

Global Sources Vice President EIMS Exhibition Manager Wu Yunqiang said in his speech that under the current international situation, it is particularly important to build an electronic intelligent manufacturing industry chain. Manufacturing industry chain.

The development status and trend of China's electronic components industry

How should electronic component companies make efforts to ensure the integrity of the domestic supply chain? According to Gu Qun, Secretary General of the China Electronic Components Industry Association, although the previous epidemic had a serious impact on the manufacturing industry, according to data analysis, all industries were prosperous last year. The order tasks for the whole year have been completed, and orders from all walks of life in the upstream and downstream industrial chains and subdivisions of electronic components are very full. "At present, we are optimistic about the orders in hand, and many orders for the whole year have been obtained. 90% of enterprises are more confident in this year." Secretary-General Gu Qun also pointed out that the current electronic yuan There are still some outstanding problems in the device industry:

First, the ability of independent innovation is weak; second, the pressure on enterprises is high; third, the main raw materials are rising too fast.

Secretary-General Gu Qun also put forward suggestions for the development of China's electronic components industry:

Firstly, to improve the supporting capabilities in key areas; secondly, to coordinate the development of upstream and downstream industry chains; The third is to enhance the competitiveness of enterprises; the fourth is to realize the transformation of intelligent manufacturing. It is necessary to actively build a digital design platform, a full-environment simulation platform, and data on materials, processes, and failure analysis, promote the digitalization and network transformation of key processes, optimize production processes and quality control systems, carry out smart factory construction, and improve the level of smart manufacturing.

Secretary-General Gu Qun said: Many key domestic enterprises are now actively improving the level of automation and introducing more intelligent robots. Therefore, the entire application market is growing. Although due to the epidemic, there is also a double-digit growth. This year, it will still grow very fast. The total investment of the entire industry last year was 80 billion yuan, but the announced investment in the first quarter so far is 43 billion yuan. Under the guidance and support of the government, manufacturing companies, especially high-end manufacturing companies, are expanding significantly. Produce. In the last year, Chinese factories have played a huge role in the world.

Promote digital life with three electricity and one network technology

A McKinsey report pointed out: AI will bring 13 trillion US dollars of opportunities in the future, and IoT will bring With an opportunity of $11 trillion, 5G can bring a $2 trillion opportunity. As an enterprise manager, the most concerned question is nothing more than how to grow in the digital age with so many new technologies, new opportunities and new trends? How can we use data after we have it, so that it can truly be transformed into growth opportunities for enterprises? Liu Tianxi, Strategy Director of Topbond, shared three trends:

First, the international market is shifting to China, just like the telecommunications industry ten years ago;

Second, the domestic market is concentrated to the top , the head effect is more obvious;

Third, the controller is the key.

Liu Tianxi believes that in this era, there is no shortage of opportunities for industrial integration. Technology and intelligence should be a more certain opportunity in the next ten years, no matter how the competition between China and the United States changes, no matter how the demand hotspot changes. , I believe that for a long time in the future, this kind of intelligence based on digitalization can bring value to consumers, and can also optimize the efficiency of operations for enterprise operations.

Shaping an infinite future with a solid core

"Intelligent manufacturing" is a proposition of the times, which integrates advanced technologies such as information technology, automation technology, big data technology, artificial intelligence technology, etc. . Therefore, the problem-solving method is inseparable from the full excavation and utilization of these new technologies closely related to intelligent manufacturing.

Talking about this issue, Zhang Jianwen, MCU product manager of Huada Semiconductor, introduced the strategic direction of intelligent manufacturing in the "14th Five-Year Plan and 2035 Vision". In some aspects of intelligent manufacturing, such as industrial control equipment, high-end equipment, high-end medical products, etc., the core competitiveness will be improved.

Artificial intelligence that is improving a little every day - the frontier development of artificial intelligence and its industrial applications

Artificial intelligence is considered to be a universal tool, and many people think that artificial intelligence can be described as omnipotent . But why can't it be that smart? Why is Tesla still hitting the white box? Why can't our classmate Xiao Ai still chat with me very artificially?

"Strong artificial intelligence is still far away." said Guan Zhen, chief technical advisor of Microsoft (China).

But AI is improving a little bit every day in three dimensions:

The first dimension, one-way capabilities. For example, the dimensions of individual items such as image, voice, semantics, translation, and knowledge understanding;

The second dimension, in vertical scenarios of the industry, such as smart home, security, driverless, entertainment, games;

In the third dimension, big companies are starting to get involved.

Guan Zhen pointed out that AI will change the world, but there are several big mountains that must be overturned. 44% is due to lack of useful data; 42% is due to lack of AI talents; 30% is because AI is a matter of IT, should technical talents engage in AI? No, everyone should be able to participate.

Haihe Stable Blue Board (PCBA) empowers the intelligent manufacturing of small household appliances

How to improve the core competitiveness of intelligent manufacturing? "Intelligent upgrade on the basis of tradition." Cao Pengyun, chairman of Shenzhen Haihe Technology Co., Ltd., shared his management experience.

Research and development: In the field of small home appliance PCBA, the company has obvious advantages in patents and software copyrights. At present, the company has 18 invention patents and 86 utility model patents, as well as 93 software copyrights.

High quality: In R&D and design, to achieve stability and speed, it mainly depends on the accumulation of technology. Each chief engineer is the technical person in charge of different products, transforming R&D technical experience into Modularization, the modularization of hardware and software, the modularization of the functions of each product, the certification of thousands of production capacities in the market, and the precipitation of good solutions in our opportunistic library. When required, it is quickly transferred from the library and packed to the guests.

Five dimensions to create a stable blue board:

1. Stable design, product stability, mainly the design plan in the research and development stage;

2. The stability of the supply chain is mainly considered from two dimensions. First, the hardness of the supply chain itself, coupled with the ability of the supply chain;

Third, the production is stable, and more efforts are made on people and equipment;

Fourth, stable quality control, every link of quality control is a very strict process;

Five, stable operation, the whole system of services, to ensure product quality and delivery are stable.

Cao Pengyun's experience is to empower brands and customers in terms of technological innovation.

AI industrial visual inspection system empowers intelligent manufacturing of electronic production

In the environment and background of new infrastructure, how to make 5G and artificial intelligence truly land and serve entities And industry, falling into the society? According to Professor Wang Xiaofei, a professor and doctoral supervisor of the School of Computer Science and Technology of Tianjin University and the chief AI scientist of Dongsheng Intelligent Technology Co., Ltd., the support of 5G + artificial intelligence will become the core of the change in the digital world.

Professor Wang pointed out that edge intelligence is a key element in digital reform. In particular, the end-to-end delay has very high requirements in manufacturing and industry.

Professor Wang mentioned that edge computing will fall into many scenarios:

First, the expansion of cloud computing;

Second, the perspective of the Internet of Things;

Three, edge computing for operators;

fourth, edge computing for industry.

Professor Wang said that at present, there are many difficulties in visual inspection based on artificial intelligence or deep learning. In the industrial field, visual inspection is a very popular direction at present. The development and trend of edge visual intelligence: first, cross-platform deployment and optimization will become one of the development directions; second, data quality and privacy security will become the consensus of the visual intelligence industry; third, multi-dimensional and multi-agent data-driven group vision Intelligent decision-making; Fourth, group visual relationship modeling in complex environments.

Robots help 3C electronic intelligent manufacturing upgrade

The rapid development and changes of IT and communication technology are prompting 3C electronic manufacturers to face faster product replacement cycle, higher efficient manufacturing capacity, Higher quality product quality control. Agile manufacturing, flexible manufacturing, and lean manufacturing have become the development direction of 3C electronic manufacturing enterprises. The characteristics of production and manufacturing are: high speed, high flexibility, and high precision, which also drive the development of intelligent manufacturing in the 3C electronics industry to a new level.

In addition, with the improvement of the level of industrial automation, robots are gradually being used in the 3C manufacturing industry, and robot technology has brought efficiency improvements to 3C manufacturing enterprises.

Zheng Xin, industry director of SIASUN Robotics Marketing and Marketing Management Center, believes that not only the 3C industry, but every industry must achieve this. The first step is to realize standardization; the second step is to realize automation; the third step is to realize informatization; the fourth step is to realize intelligence. The 3C industry started relatively early and is labor-intensive. Therefore, this industry has been in the process of standardization and automation at this stage, and some enterprises have realized the progress of informatization to intelligence.

Zheng Xin shared his new ideas for future enterprises:

The first point is information sharing. We will definitely get the best solution to achieve the proximity of production and the maximization of benefits;

Second point, the form of production layout, the layout of the future factory should be a discrete layout, such as The production of this kind of assembly line in the past will be eliminated in the future;

The third point is that the AGV system is the blood of the future production system. The AGV system is responsible for raw materials, semi-finished products, finished products, and tooling fixtures, all of which require AGVs

The fourth point, the three-dimensional warehouse will become a standard configuration in future factories, the latest factory settings, the three-dimensional warehouse is placed in the middle of the factory, and all the equipment is arranged around the three-dimensional warehouse, During the production process, storage utilization can be maximized, and semi-finished products/finished products no longer need mixed storage areas.

Digital twins help digitalization of electronic manufacturing

"Lean towards intelligence". Dr. Fang Zhigang, CTO of Siemens (China) Digital Industry Software Greater China, shared the latest thinking in the field of intelligent manufacturing: intelligent manufacturing system, in essence, is to install an operating system on the digital system.

To transform the digitalization of manufacturing into a digital platform company. In the field of R&D, the R&D platform of iMBSE is built, which is decomposed layer by layer from the needs of customers and genius creativity to various majors. On the right side of this "V", the layers are integrated into innovative products. In the past, most companies in China were engaged in project approval and project approval, which actually started from the lower left corner (sales/safety/quality).

Dr. Fang Zhigang said that by 2025, everyone will realize that to substantially do Industry 4.0, it is necessary to establish asset management for each asset (robot/logistics vehicle/mounter/process algorithm, document, etc.) The shell is actually the idea of separating software and hardware. Only the asset management shell can achieve heterogeneity and interoperability. Before USB was invented, everyone used a computer with a bunch of peripherals, which was very complicated, and there were a bunch of cables on the table. With USB, we feel that the asset management shell is "the USB system of the future industry". A digital twin can be added to all assets to implement processes between AAS and perform asynchronous operations. At present, the core protocol of AAS, in fact, everyone already has, such as the timing logic of automation, we have protocols such as AutomationML, OPC UA, etc., on this basis, redefine the pyramid of automation.

Linkage coordination, integration and symbiosis, and work together

In the theme dialogue of "How can enterprises adapt to the complex supply chain situation at present?", Best Management Li Heng, senior vice president of the consulting group, talked about the trends and challenges of the transformation of the digital supply chain.

Han Xu, CEO of Dongsheng Intelligent Technology, believes that modern management methods or more algorithms should be combined to optimize the entire supply chain structure and form a regional self-circulation. As far as Dongsheng Intelligent Technology is concerned, there will be more and more applications of industrial vision in the entire 3C field. Industrial vision is to put eyes on the factory, and the concept of Dongsheng Intelligence is to become the eyes and brain of the factory. The quality inspection before leaving the factory is the work of "solving a case". The previous process caused the quality problem of the product. Before shipment, due to the requirements of the customer, it had to be inspected to find out the quality problem. In the entire manufacturing process, if its problems can be found in advance, the subsequent process will not incur more costs.

In "At present, how can enterprises tap and utilize the value of new technologies?" In the keynote dialogue of , Li Heng, senior vice president of Best Management Consulting Group, talked about the uncertainty of supply chain management.

Dr. Fang Zhigang, CTO of Siemens (China) Digital Industry Software Greater China, said that digitalization is a good countermeasure to the uncertainty of the supply chain. The supply chain also has its digital twin. The most famous theorem in the supply chain is the "bullwhip effect". When man-made natural or man-made disasters affect its upstream or downstream, this "bullwhip effect" will inevitably occur, Fang Zhigang The doctor suggested that enterprises should accelerate the digital transformation of supply chain.

In "Future The direction of the robot and its technical commanding heights”, Li Heng, senior vice president of Best Management Consulting Group, talked about China as the largest robot market, but the actual customers are concentrated in small-scale and low-complexity modules. .

Zheng Xin, Industry Director of SIASUN Robotics Marketing and Marketing Management Center, summed up SIASUN's layout and ideas. For example, a fully automatic production line of servers for customers can realize flexible production and realize a complex process assembly. Using SIASUN's own projects and products to gradually push the field of robotics to the high end, and to industries that foreign counterparts have not entered in the past, this is a way out for domestic robotics brands.

Zheng Xin said that for 3C small and medium-sized enterprises, SIASUN has gradually developed a model that is modular factory. SIASUN provides robots as a standard work unit to enterprises. At the same time, for 3C labor-intensive enterprises, replacing people with robots or realizing the work mode of human-machine collaboration may develop vigorously in the future.