The transformation of the whole industry of intelligent manufacturing has leapfrogged from followin

Mondo Technology Updated on 2024-03-02

Wen Cao Chi.

As a new production mode with the deep integration of a new generation of information technology and advanced manufacturing industry, intelligent manufacturing is the core of a new round of scientific and technological revolution, has become the development trend of manufacturing transformation, and is an important starting point for promoting the transformation and upgrading of the manufacturing industry.

According to the China Industrial Development Report (2023) (hereinafter referred to as the "Report"), it is similar to that of German Industry 40 Compared with the industrial Internet in the United States, China's intelligent manufacturing industry has climaxed and integrated a new generation of artificial intelligence technology, which is also a major opportunity for China's manufacturing industry to achieve "lane change and overtaking". On the one hand, we should take demand as the traction, lead the innovation of integrated technology, and overcome the practical problems of key technologies of intelligent manufacturing in complex process applications. On the other hand, improve the supply-side market ecology, break the foreign monopoly in the field of industrial control systems, industrial robots, MES and other key equipment and industrial software for intelligent manufacturing, and achieve a major breakthrough in market share.

In the face of the unstable global pattern and the sudden situation of industrial chain fracture, China's intelligent manufacturing industry has emerged in the process of the fourth industrial revolution new materials, new technologies and other new development models, the industrial Internet has made substantial progress, and the "Belt and Road" countries have signed capacity cooperation agreements, China's manufacturing has taken a key step to go abroad, occupying an important position in the global industrial chain.

According to the report, as the only country in the world that has all the industrial categories in the United Nations Industrial Classification (41 categories, 207 medium categories, and 666 sub-categories), China's intelligent manufacturing has a solid manufacturing foundation. However, compared with developed countries, the development of China's intelligent manufacturing industry is still "big but not strong", which is reflected in the "low-end of high-end industries" of R&D technology, product production and brand marketing and the "homogenization of high-value products" that are imitated by latecomers. In the face of great changes unseen in a century, the high-quality development of intelligent manufacturing has become the focus of the great power game and the reconstruction of the global value system. How to seize the opportunities of the times in the new round of global industrial transformation and realize the leap from "following" to "leading" is the key measure to build a manufacturing power. Based on this, we should adhere to the basic principles of "market-led, innovation-driven, integrated development, and systematic promotion", based on the essence of manufacturing, focus on manufacturing characteristics, and answer the questions of the times of high-quality development of China's intelligent manufacturing from the perspective of key core technologies, standard system construction, digital transformation, talent training system, strengthening policy support and improving the resilience of the industrial chain.

The report suggests that the first is to promote key core technology research and domestic substitution. Focus on high-end equipment, high-end materials, high-end machine tools, scientific instruments and core basic parts and other intelligent manufacturing industries, aim at basic research, use the strength of the whole country and the whole industry to tackle the underlying technology and disruptive technology, break through a number of key core components and components, and strive to take the lead in breakthroughs in asymmetric competitive advantages and key core technologies, and then promote the transformation of the whole industry of intelligent manufacturing with the help of spillover effects. Adopt the promotion idea of "single-point breakthrough + integrated research", break through the "stuck neck" technology of the intelligent manufacturing industry at a single point, deeply cultivate breakthrough innovation in subdivided scenarios, reconstruct the domestic alternative path of core technologies, grasp the control of key core technology development and sharing, and realize the independent and controllable key core technologies. At the same time, the integration of common technologies involving the basic principles of the whole industry chain, the innovation of the industrial chain collaboration model to achieve upstream and downstream resonance at the same frequency, the use of cloud computing and edge computing technology, the use of cloud computing and edge computing technology, to achieve the collaborative technological breakthrough of hardware equipment and industrial software, the construction of an industrial Internet platform, to achieve the accurate matching of upstream high-end supply and downstream effective demand, to achieve real-time decision-making and efficient allocation of resources in each link.

The second is to speed up the construction of the industrial Internet standard system. In accordance with the dynamic update mechanism of the standard system, the establishment of "5G+" industrial Internet integration research and development center, joint innovation center, open laboratory and other innovation consortiums, accelerate the construction of an advanced and applicable industrial Internet standard system based on the practice of intelligent manufacturing industry. On the one hand, with value enhancement as the goal-oriented, identify the needs and pain points of multiple stakeholders to "build a platform, use a platform, and manage a platform", promote the network interconnection project of the industrial Internet, strengthen the deep integration of IT and OT networks, and accelerate the construction of the industrial Internet identification and analysis system. On the other hand, the leading institutions formulate industrial Internet standards applicable to their respective industries, develop platforms and protocols based on open standards from the industrial Internet architecture, standard architecture, and standard system framework, and encourage "Chinese standards to go global", so that equipment and systems of different manufacturers can communicate and integrate with each other, break through "data barriers", and break "information silos".

The third is to create a model for the digital transformation of the traditional manufacturing industry. From the perspective of industry attributes, the differences between enterprises at different levels of the industrial chain are more obvious, and enterprises need to do a solid job of "digital supplementary courses", from the technology, business, digital thinking, strategy "a game of chess", business model, etc. to keep up with the leaders, build the advantages of latecomers, and form a demonstration model of digital transformation of manufacturing industry based on different types of manufacturing industries and different levels of the industrial chain. Adopt the transformation strategy of "combining software and hardware, internal and external repair", focus on the construction of industrial Internet platform at the software level, promote three-chain collaboration and resource integration, use edge computing equipment with data acquisition capabilities at the hardware level, release the value effect of massive data, break down professional barriers with the construction of enterprise core capabilities, break technical shackles with industrial chain ecological construction, open up the value chain of manufacturing business links, and build an ecological development model.

The fourth is to establish a talent training system that adapts to intelligent manufacturing and future industries. First, it is necessary to build a digital talent job sequence and improve the assessment and incentive system from the organizational level, set up a flexible post system and performance appraisal mechanism, systematically plan digital talents, establish a training and empowerment system for digital talents, expand the external knowledge acquisition channels of the enterprise, strengthen internal knowledge precipitation and co-construction and sharing, and empower employees' innovative activities. Second, it is necessary to open up the professional career promotion channel, improve the evaluation system of intelligent manufacturing talents, establish a long-term training mechanism for professional and technical talents, and improve the enthusiasm and initiative of intelligent manufacturing talents. Third, it is necessary to adopt a "two-legged" talent training model, on the one hand, to train traditional skilled talents, improve professional technology and interdisciplinary compound ability, and tap employees with training potential for key training; On the other hand, we should build a joint development mechanism, tap "talented teenagers" and "high-tech talents", adopt the idea of investment rather than management, give them an environment and space for innovation, and focus on tackling key core technologies and making breakthroughs.

Fifth, improve the intelligent manufacturing policy system and strengthen the "target effect". Clarify the dialectical relationship between policy support and the transformation and development of the intelligent manufacturing industry, strengthen support, broaden the scope of support, refine support methods, and grasp the definitive opportunities in policy guidance. Build a policy system that radiates "government, industry, academia and research", establish intelligent manufacturing demonstration projects and demonstration areas, strengthen the strategic guidance mechanism, accelerate the application of technological innovation in practice, and ensure the coordination of various policies within the intelligent manufacturing policy system, avoid contradictions and conflicts between policies, and ensure the consistency and coordination of policies.

Sixth, improve the resilience and safety level of the intelligent manufacturing industry chain. Carry out special actions to extend the chain and strengthen the chain of the intelligent manufacturing industry chain, do a good job in the compulsory courses for improving the resilience and safety level of the intelligent manufacturing industry chain, and embed the global value division system with a stronger intelligent manufacturing industry chain. First, promote the high-end and intelligent development of the traditional manufacturing industry, "make up for shortcomings" and "chain long boards" go hand in hand to solve "structural risks". Second, strengthen the R&D and innovation ability of key core technologies from "0" to "1", and eliminate the "risk of chain breakage". Third, the system innovation model reform to create an agile and flexible intelligent manufacturing industry chain ecology to solve the "systemic risk".

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