Intensive research by the Ministry of Industry and Information Technology

China's manufacturing industry has accelerated its pace of upgrading, but it has also faced many "roadblocks": unbalanced development and inadequate development, and the contradiction between the foundations is more acute; the basic theory of intelligent manufacturing and the construction of technical systems are lagging behind, the lack of high-quality talents, and the heavy reliance on equipment and technology. import. This is the information that the “Economic Information Daily” reporter learned from the National Entrepreneur Activity Day and the China Entrepreneur Annual Meeting in June 20th. It is worth noting that recently, the Ministry of Industry and Information Technology intensively researched intelligent manufacturing and invented new strategies. In 2018, the deep integration of the Internet, big data, artificial intelligence and manufacturing will be the top priority, and it will become a popular marriage target for enterprises. Capital enters. After the rapid development of the manufacturing industry in the past 40 years of reform and opening up, China has become the world's second largest economy and the largest world factory, forming a complete, independent and complete manufacturing industry system. "But the development of China's machinery and equipment industry is uneven, inadequate, and there are a large surplus of low-end products, and high-end products are obviously insufficient. In particular, the effective supply of high-end basic machinery and basic components is seriously insufficient. Compared with foreign countries, not only products and quality. There is also a gap in the software. Xu Donghua, dean of the State-owned Assets and Administration Commission of the State Council, said at the China Manufacturing Summit on the 6th that the gap between instruments, machine tools and agricultural machinery and the world's advanced level is particularly obvious, cars, instruments and machine tools. It is a weak industry in which the import and export deficits are in the top three. Liu Bing, general manager of China National Gold Group Co., Ltd. also said that most of China's manufacturing industry is currently at the low end of the industrial chain. Starting from low-end products and developing high-end products is a difficult road to innovation. It is worth noting that in recent years, smart manufacturing has become the key to promoting the transformation and upgrading of the manufacturing industry and becoming the national economic competitiveness. However, China's smart manufacturing is still in the initial stage of relatively scattered and weak competitiveness. Xu Donghua said that China's intelligent manufacturing focuses on technology tracking and technology introduction, and lacks investment in basic research and common technology research in high-end electronic equipment manufacturing, extreme manufacturing, bio-manufacturing and chip manufacturing. The lack of original innovation restricts the advancement of smart manufacturing in China. . Moreover, the demand for high-end talents and compound talents in the field of intelligent manufacturing is relatively large, which has increased the dependence on foreign intelligent manufacturing equipment and technology. In addition, the level of intelligence in China's enterprises is uneven and generally not high. "At present, China's problems in intelligent manufacturing and self-manufacturing are caused by insufficient production and manufacturing capabilities supported by core technologies. However, from a deeper perspective, it is insufficient systemic support including supporting, institutional and cultural. It is decided that the change must also be systematic. It depends on the breakthrough of single technology and single product in the short-term, but it is difficult to foresee the sustainable development of China's manufacturing industry in the long run,” said Liu Jiaping, chairman of Shanghai Lingang Economic Development Group. The Ministry of Industry and Information Technology intensive research and brewing new policy "Economic Information Daily" reporters found that in the past week, the Ministry of Industry and Information Technology has investigated intelligence-related situations four times. Among them, Xin Guobin, deputy minister of the Ministry of Industry and Information Technology, first led a team to Shaoxing, Zhejiang Province to investigate the development model of smart manufacturing of small and medium-sized enterprises, and then went to Suzhou, Jiangsu Province, focusing on the in-depth development of smart manufacturing of leading enterprises and the in-depth development of regional intelligent manufacturing. He said that after three years of intelligent manufacturing work, the pilot demonstration has achieved good results, and a number of advanced system solutions with industry characteristics have been formed. On this basis, standards should be formed and promoted and applied as soon as possible. At the same time, it is necessary to summarize and refine the excellent practices of local and industrial organizations to promote intelligent manufacturing, and promote more intelligent transformation and upgrading of regions and industries through exchanges and cooperation. Luo Wen, deputy minister of the Ministry of Industry and Information Technology, said at the first plenary session of the second session of the Electronic Science and Technology Committee of the Ministry of Industry and Information Technology that in 2018, it is necessary to pay attention to the promotion path of deep integration of the Internet, big data, artificial intelligence and manufacturing, and to adopt electronic information technology and industry. Development is integrated with all areas of economic and social development. Xu Donghua revealed that he was drafting a systematic report on the manufacture of smart equipment, commissioned by the Ministry of Industry and Information Technology. At the meeting, Xu Kemin, Director of the Industrial Policy Department of the Ministry of Industry and Information Technology, proposed to use the new generation of information technology to promote organizational management reform and industrial transformation and upgrading, further strengthen management and management innovation, improve efficiency of various links, and strengthen upstream and downstream enterprises in the industrial chain. Collaboration and sharing have shifted from extensive production and management methods to intensive and efficient development. Wang Zhongyu, president of the China Enterprise Confederation and China Entrepreneur Association, also said that enterprises should use new technologies, new formats, new models, especially Internet, big data, artificial intelligence and other technologies to improve their level and efficiency. Promote industrial optimization and upgrading. Enterprises and capital pursuits have attracted gold rush. Currently, the Internet, big data, artificial intelligence, etc. are becoming the object of enthusiasm for manufacturing companies, and they have also attracted a lot of capital to enter, setting off a “gold rush”. According to Liu Jiaping, Shanghai Lingang Economic Development Group plans to establish a number of specialized parks such as integrated circuits, artificial intelligence and medical equipment. Among them, around the Huada Semiconductor Project, Zhongwei Semiconductor Equipment Project, and American Applied Materials Company Project, we are accumulating related enterprises and building an international intelligent manufacturing center. Liu Bing also believes that the development of the gold industry must be driven by a new generation of intelligent manufacturing technology. For example, the mining depth of gold mines in the future will reach 1500-2000 meters. Therefore, the development of highly automated remote-controlled intelligent mining technology and the construction of unmanned mines are the development direction of mining equipment manufacturing. It is worth noting that cross-border cooperation and capital activities are also increasingly frequent. “One mode of operation and integration is direct investment, and the other is to build or invest in some sub-funds or other funds through the situation of the parent fund, so that you can do more at different stages, different fields, and different industries. Layout.” The deputy general manager of China Chengtong Fund Management Co., Ltd. stated in the forum on the path and development trend of the integration of industry and finance on the 6th. It is understood that one of the key investment areas of the China State-owned Enterprise Structure Adjustment Fund managed by the company is intelligent manufacturing. “We promote the combination of industry and finance and the construction of overseas centers in the supporting environment, and provide open resource support for industrial expansion and upgrading.” Liu Jiaping said that the current capital structure of Shanghai Lingang Economic Development Group is based on the main direction of the park. It covers 15 industries and vertically covers the industries of angels, VCs, PEs, mergers and acquisitions, etc. according to different stages of investment, and realizes the linkage of investment and investment, attracting a large number of invested enterprises to enter the park. Wang Xiaoming, director of the Industrial Economics Research Department of the Development Research Center of the State Council, suggested that the Internet transformation should be based on the development rules and characteristics of the manufacturing industry itself. In his view, the manufacturing industry is characterized by complexity, closure, asset exclusivity, and long-term cyclicality. At the same time, there are infrastructure support and intellectual property security issues in the process of digital transformation, which need to be in national strategy and industry strategy. Collaborate with corporate strategy. In addition, digital transformation is a long-term process. German enterprise research shows that it is generally necessary to go through the lean process of 10 to 15 years, and then go through the digitization process of 10 to 15 years, and finally complete the transformation of the whole life cycle of products and technologies.

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