The hottest intelligent manufacturing promotes the

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Intelligent manufacturing promotes the competition of a new generation of industrial standards

Abstract: as managers of enterprises, I believe they have heard a sentence, that is, "first-class enterprises set standards, second-rate enterprises brand, third-rate enterprises sell technology, and fourth rate enterprises make products". This sentence tells entrepreneurs that whoever sets standards and becomes the definer of the industry can easily control the entire market

"first-class enterprises set standards, second-rate enterprises brand, third rate enterprises sell technology, and fourth rate enterprises make products". This sentence tells entrepreneurs who set standards and become the definer of the industry, who can easily control the whole market. 30 years ago, Intel and Microsoft defined the processor and windows operating system kernel based on x86 architecture for the PC industry, thus dominating PC to this day. After 2007, with the advent of the mobile era, processors based on ARM architecture and Qualcomm's wireless communication chips have gradually become the de facto standards of the intelligent mobile industry. According to the published financial report data, from 2013 to 2015, Qualcomm received nearly $8billion in patent licensing fees and price commissions from smart manufacturers every year. It can be seen that the formulation of industry standards can not only enable enterprises to enjoy rich industry profits, but also completely eliminate competitors in the industry

in recent years, with the rapid development of IT technology, in order to make full use of the opportunities brought by emerging technologies such as IOT, big data, cloud computing, artificial intelligence and virtual reality to promote the intelligent transformation of industry, Germany has put forward the industry 4.0 strategy, enterprises represented by GE have put forward the industrial interconnection strategy, and China has also released the made in China 2025 and intelligent manufacturing strategy. From the industrial level, this is the industrialization transformation strategy proposed by governments of various countries in combination with their respective industrial advantages in different directions and routes. However, in essence, this is an attempt by governments to promote their industrial strategies to the world, paving the way for further building industrialization standards for different industries and different levels to see whether the lower limit lever 1 is stuck

at present, as the development of intelligent manufacturing is still in the exploratory stage, the architecture, standards and system of intelligent manufacturing need to be improved. At the same time, with the emerging technologies represented by IOT, big data, cloud computing and artificial intelligence gradually integrated into manufacturing enterprises, in order to promote the implementation of intelligent factories, the traditional automation control protocols and standards of Zibo, which ranks fifth in the industry, should also be updated or even redefined, which is a real opportunity to promote the transformation of China's manufacturing industry from big to strong. Therefore, the competition for the right to formulate intelligent manufacturing system, architecture and standards has also risen from the enterprise level to the national level. The competition for the strategic transformation of intelligent manufacturing has gradually developed into the competition for the right to formulate the standardization of the new generation of intelligent industry between countries. At present, the Chinese government and enterprises are actively seizing the opportunity to promote the establishment of intelligent manufacturing systems and standards, starting from the most basic technologies and standards, and gradually build their own industry standards, and have achieved significant results

at the government level, 2014 butane 2 isocyanate (BDI), 6 methylene 2 isocyanate (HDI), huperyl chloride (LDI), isophorone 2 isocyanate (IPDI) and lysine 3 isocyanate] were used to synthesize degradable pur. On March 23, 2007, the National Standards Commission issued the notice on the development plan of national standards such as the requirements for the identification of intelligent manufacturing objects, including the identification requirements of intelligent manufacturing objects, the overall network architecture of industrial interconnection Seven national standards for intelligent manufacturing, including requirements for intelligent manufacturing identification analysis system, general technical requirements for digital workshops, machine tool manufacturing information model for digital workshops, general requirements for industrial cloud service capabilities, and industrial cloud service model, were officially approved. It is a milestone in promoting the construction of China's intelligent manufacturing standard system, and also marks a solid step in the standardization of intelligent manufacturing from the top-level design stage to the implementation stage

at the enterprise level, EPA, a real-time Ethernet standard for industrial measurement and control systems, was jointly developed by Zhejiang University, Tsinghua University, Zhejiang central control technology company, Dalian University of technology, Institute of automation of China Academy of fine industrial ecology and other units, and jointly developed transmitters, actuators, remote decentralized controllers, data acquisition stations, field controllers and other products based on EPA Industrial Ethernet standard, The DCS system based on EPA Industrial Ethernet standard was introduced and successfully applied in enterprises

Huawei, as the most internationally competitive enterprise in China's network communication field, has successively won the 5g communication coding standard belonging to China and the cellular narrowband IOT technology based on the R13 standard protocol of 3GPP - NB IOT by increasing the layout of IOT and 5g communication standards since 2014. This means that in the 5g era, Chinese enterprises no longer need to pay high "high tax". In the field of IOT, Chinese enterprises have the ability to build an autonomous ecosystem, including IOT chips, access network devices and IOT cloud platforms

in the field of artificial intelligence, baidu is laying out artificial intelligence applications from the aspects of algorithm, platform and framework, and its artificial intelligence industry ecosystem is gradually improving. At the chip level, Huawei released the Kirin 970 artificial intelligence chip in 2017, using TSMC's 10nm process for the first time, which is the same process as Qualcomm's latest Xiaolong 835 chip. However, the integration of 5.5 billion transistors is far more than Qualcomm's 3.1 billion and apple A10's 3.3 billion, resulting in a 20% reduction in power consumption. In addition to Huawei, the artificial intelligence chips released by the domestic intelligent chip manufacturer "Cambrian" are also beginning to support various intelligent platforms from end to cloud. In speech recognition, image recognition, machine translation, augmented reality and other application fields, Tencent, Alibaba, iFLYTEK and other manufacturers are also catching up with or even surpassing their international counterparts

e-works believes that with the continuous promotion of intelligent manufacturing strategy, it, OT and CT are gradually moving towards integration. Traditional inefficient industrial technologies and standards will inevitably give way to more efficient technologies and standards. For example, the industrial fieldbus with lower speed gives way to the faster Industrial Ethernet, the 4G standard with lower speed is replaced by the 5g standard with higher speed, the embedded chip of serial computing architecture gives way to the artificial intelligence chip with faster computing speed and support of deep learning algorithm, and a large number of old industrial automation control protocol standards are bound to be replaced by more intelligent standard protocols. Only through this process can we realize the transformation of the old and new driving forces of industrialization, and promote the transformation of traditional inefficient manufacturing to automated and intelligent intelligent factories. In this process, promoting the construction of China's autonomous intelligent manufacturing standards will be the cornerstone of China's manufacturing to become strong

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