Do not understand big data, what about smart manufacturing?

At the two sessions, Premier Li Keqiang focused on "Internet +". Internet + "manufacturing is "Made in China 2025", that is to find new business models, working methods and business models.

“Made in China 2025” was not mentioned by Germany. In 2012, the 18th National Congress of the Communist Party of China proposed the strategy of manufacturing a strong country. In January 2013, Zhou Ji, the president of the Chinese Academy of Engineering, presided over the Strategic Research Conference on Manufacturing Power and promoted the strategy of manufacturing power. . Therefore, "Made in China 2025" is an inevitable reflection of China's development of the manufacturing industry. “Made in China 2025” and “German Industry 4.0” have the same goal, but the focus is different. The simple description of "Made in China 2025" is "innovation leading, improving quality and efficiency, green development, integration of two technologies as the main line, and intelligent manufacturing as a breakthrough."

01, Internet + garbage products = 0

The logic of the digital world is 0 and 1, and a large amount of digital accumulation is data, which forms the basis of the data economy. For enterprises, "Internet + junk products" is equal to 0, and only "Internet + excellent products" can be equal to 1. Therefore, although we have grafted with the Internet, the core element is still the product, not the Internet.

The concept of Industry 4.0 originated in Germany, and various circles have been widely interpreted in China and Germany. However, in the system of Industry 4.0, the word "quality" is rarely mentioned. Why? The German reply is very understated. "Our quality problems were solved in the 1960s." This is an expected answer.

However, the direction of "Made in China 2025" is different, and we must put quality on the core issue. The reason is very simple. China has not undergone a complete industrialized social transition, industrial civilization is lacking, and industrialization has entered the information society without completion. The integration of China's two industries will inevitably solve the problems that have not been solved in the industrial society. China Manufacturing 2025 has four key points: manufacturing is a key link and an important pillar of the national economy; manufacturing is the main battlefield; manufacturing is the main force; intelligent manufacturing is the commanding height of competition.

02. Is the production capacity really surplus?

Overcapacity is currently a heavy burden on China's economic development. However, is manufacturing really overcapacity? NO! Overcapacity is a problem that will occur in low-end industries, and high-end industries are always in short supply. This is the change in the manufacturing era.

China's overcapacity accurately reflects the changing needs of Chinese consumers.

In the past 15 years, China’s middle class has increased sevenfold. The middle class has solved the basic living problems of basic food, clothing, housing and transportation. The next step is to move towards improving the quality of life. However, China's manufacturing industry is not ready. Therefore, there is no demand, nor economic weakness, but because Chinese manufacturing companies can't make good products that meet the needs of the middle class. This is why Chinese people have bought goods in Hong Kong, Japan, Europe and the Americas in recent years. If Chinese companies can produce products similar to Huawei, will companies close their doors? Therefore, enterprise transformation must meet the needs of people's quality of life and meet the country's demand for sophisticated products. This is the core of the product. That is, there must be a brand, but also a quality, so that it can be sold all over the world.

03, the core of intelligent manufacturing is product big data

When it comes to products, we will talk about BOM (refers to the product bill of materials). The BOM can get the world, and the engineering EBOM, the process BOM and the manufacturing BOM can be clarified. China's manufacturing industry and even the global manufacturing industry can understand it.

Followed by the process, there is no good process, the results are often unstable, this is the quality management system, including international standards, industry standards, work instructions and so on.

This process involves a large amount of resources and experience in knowledge management, which needs to be digitized and modeled. The model is data, and only a large amount of modeled data can be accumulated to truly form industrial big data.

For engineering BOM, virtual design has been basically solved in many fields. Aviation products used to be so dry in the past, complete product design, product simulation, process design, process simulation, tooling design, tooling simulation, assembly design, assembly simulation on the computer. Find the problem and change the model, a few minutes, and a few hours slower. The practical process of intelligent manufacturing requires us to gradually transform the traditional industrial system centered on trial and error into an industrial system centered on network, digitization and intelligence.

In the past 16 years of the development of the aviation industry, the most difficult process has been the process. The process is not a traditional manual process, but a process based on a three-dimensional model, that is, a process of big data. Many product designs use hand-drawn drawings, hand-written process cards, and hand-written coefficient files. Can this be turned into data? Unfortunately, these are not big data.

Taking airplanes as an example, the process of digitally designing an aircraft is a process of massive data explosion. For example, China's first aircraft full-machine digital prototype is just a three-dimensional geometric model. In 2000, the number of bytes reached 50G. If the process, manufacturing process, and test process are all digitized, at least 2T of data— And this is just a 30-ton early plane. At present, China's large aircraft has reached 200 tons, and various avionics, electromechanical and software systems are extremely complicated, and the data byte amount will reach dozens of T levels. Think about the most complex products in the world, the aircraft carrier, 100,000 tons, nuclear submarines, more than 10,000 tons. Burn the brain hole, count all the data, how much product data is there? That is a day-to-day number - this is the charm of product big data. Intelligent manufacturing, we must figure this out.

Therefore, product big data management has become a major necessity for enterprises. In the era of intelligent manufacturing, the original corporate management drawings, process cards and documentation were all over the place. Now enterprises must face digital data. If management is not good, it will inevitably fall behind or even be eliminated in the era of data economy.

04. Industrial technology system has a long way to go

The core of intelligent manufacturing is industrial software, which is often used to purchase software from abroad. However, the software and tools provided by foreign mature software companies solve the basic problems of the point, which are options and plug-ins, which are often versatile. Engineers who build aircraft and build cars often have to use the same general-purpose software; however, a large number of industrial technology systems and experience know-how are not among them.

Therefore, to achieve the goal of "Made in China 2025", it is necessary to build an independent industrial software business system or engineering middleware. The industrial technology system is extremely complex and extremely long. There is no industrial system in the world that can be learned by learning foreign software companies. At present, some enterprises with domestic engineering middleware are making difficult developments and practices in this direction. This is a direction that “Made in China 2025” needs to be encouraged and developed, and it is also the core of building China's industrial technology system.

05, typical characteristics of intelligent manufacturing

What are the typical characteristics of intelligent manufacturing? You can compare smart manufacturing to a person. A person first has state perception, real-time analysis, after analysis, self-determination, and precise execution, which is the closed-loop iterative state.

Why talk about CPS (cyber physics system), intelligent manufacturing is "smart machine + human behavior", intelligent machine logic is industrial software, and the various equipment and facilities they drive, human behavior is judgment and decision. Intelligent manufacturing is such a closed loop execution process of dynamic iteration. In the past, automation and dataization, with accidents can only stop and alarm, and the CPS system found that the accident can be processed, is a dynamic state.

Intelligent manufacturing is a new generation manufacturing system that integrates and deep integration of human and physical objects formed by artificial intelligence and robot technology on the basis of networking and digitization.

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