According to data released by the Ministry of Industry and Information Technology a few days ago, as of the end of February this year, the total number of 5G base stations in the mainland reached 3.509 million, and the number of 5G mobile phone users reached 851 million, accounting for 48.8% of mobile phone users. The level of digital empowerment of the real economy has been continuously improved, and 5G industry applications have been integrated into 71 major categories of the national economy and further promoted in the industrial field.
Zhao Zhiguo, chief engineer of the Ministry of Industry and Information Technology, said that the empowerment of digital technology will be accelerated to promote the development of the manufacturing industry to digitalization, networking and intelligence. This year, the "Artificial Intelligence +" action will be launched to promote the deep integration of artificial intelligence and the real economy, and promote artificial intelligence to empower new industrialization.
Platform-driven shifts to data-driven
From the traditional "human marking" to artificial intelligence 24-hour monitoring without dead ends, the artificial intelligence intelligent identification and analysis system for potential safety hazards in key positions in coal mines built based on Inspur Haiyue software, supported by "data + computing power + algorithm", can not only monitor and intelligently identify the operation status of coal mine operators and equipment in real time, but also control equipment locking or shutdown when abnormal conditions are found, and remind staff to deal with them, realizing the leap from manual inspection to intelligent monitoring, making mine safety production more intelligent and controllable. Wei Daisen, general manager of Inspur Digital Enterprise, said that the innovative application of intelligent technology to empower the intelligent production of traditional industries with "data + computing power + algorithm" can give birth to new models and new formats.
The shift from platform-driven to data-driven has become one of the important trends in digital development. Han Jian, director of the Future Industry Research Center of CCID Research Institute, believes that this essence is a fundamental change in the core of enterprise strategy in the digital era. Platform-driven emphasizes the construction of a strong IT platform to achieve technical advantages and conduct business, while data-driven means relying more on the collection, analysis and application of data, making data the core of decision-making.
Zhao Gang, President of Saizhi Industry Research Institute, said: "Digital development has gone through the stages of informatization, networking and platformization, and is entering a new stage of data-driven intelligence. The digital platform is the driving force for the collaborative operation of business processes and solves the problem of market efficiency, and the data element is the driving force for business decision-making in an uncertain environment and solves the problem of innovation. ”
Zhao Gang believes that data-driven intelligent transformation is supported by "data + computing power + algorithm", giving full play to the engine role of collaborative optimization, reuse and efficiency enhancement of data elements and integrated innovation, accelerating the innovative allocation of various production factors, building a digital and intelligent enterprise, and accurately and quickly responding to customer needs and market changes.
"From the perspective of enterprises, the decision-making process of enterprises has shifted from relying on high-level experience and intuition to relying more on data analysis, and marketing strategy has shifted from the traditional model focusing on advertising effect to using data analysis to achieve accurate delivery and effect evaluation. Being data-driven means the pursuit of efficiency and effectiveness, which can reduce operating costs, improve responsiveness, and give businesses an edge in the fierce market competition. From an external perspective, data-driven enterprises not only improve their own efficiency, but also promote the digital transformation of industrial chains, supply chains, and even the entire society through data sharing and collaboration. Han Jian said.
The level of digital empowerment continues to improve
Walking into the battery production workshop of Risen Energy Co., Ltd., AGVs (automatic guided vehicles) automatically shuttle in the workshop. "The AGV intelligent scheduling system jointly developed by us has realized the integration of automation equipment with 20 different protocols in the production workshop to the unified management platform, managed more than 200 AGVs for automatic production and automatic transportation, realized the optimal solution of resource allocation and task allocation, reduced the logistics handling cost of the workshop by 50%, and increased the operation efficiency by 30%. Zhao Baoming, chief architect of Tencent Cloud Intelligent Manufacturing, said.
By the end of 2023, the mainland has cultivated 421 national-level demonstration factories and more than 10,000 provincial-level digital workshops and smart factories. Digital technology is empowering new industrialization with the characteristics of wide industry coverage, strong business penetration, high level of intelligence, and good economic benefits.
Han Jian believes that the current digital technology to empower new industrialization is mainly aimed at improving the level of production automation, networking and intelligence, and this technological change has had a significant impact on the operation mode of enterprises and their resource allocation. Through the deep integration of cloud computing, big data, artificial intelligence and other new-generation information technologies with traditional industries, "cloud, data, and intelligence" have been realized in production operations, improving the modernization level of traditional industries, and realizing high-end product development.
"Digital technology empowers new industrialization mainly in three aspects: innovation and development is the fundamental driving force, the efficient allocation of production factors is an internal requirement, and coordinated development is an endogenous need. Zhao Gang said. Digital technology innovation not only promotes the innovation and development of emerging industries such as artificial intelligence, but also empowers the technology research and development and product design of traditional industries, giving birth to new research and development models such as large-scale model-assisted scientific research and digital twin simulation, and greatly increasing the contribution rate of technological innovation to industrial economic growth. The deep integration of digital technology with the industrial chain and supply chain has driven the overall digital transformation of the upstream and downstream of the industrial chain and enhanced the competitiveness of industrial clusters.
Accelerate the promotion of "artificial intelligence+"
With the acceleration of the iterative upgrading of artificial intelligence large model technology, important progress has been made in the general and special intelligence level of large models, and the manufacturing industry, which is highly dependent on mental labor, has become the main battlefield for large model applications, and "artificial intelligence +" has become the most active field of digital technology to empower new industrialization.
Zhou Hongyi, founder of 360 Group, believes that large models can be combined with traditional industries for "intelligent transformation and digital transformation" and become an important enabler of new industrialization. It is an inevitable trend for the mainland's modern industrial system to develop to high-end by grasping the "bull's nose" of artificial intelligence, accelerating the formation of new quality productivity, empowering key industrial systems with large-scale model capabilities, and promoting the upgrading of industrial digitalization to intelligence.
"At present, the large model is still insufficient in terms of putting it into production practice and enabling the efficiency of new industrialization. In the future, it is necessary to adhere to the bottom line of safe development, from the layout of policies and standards, to promote the accelerated implementation of large models in all walks of life, to develop more large model application scenarios, to help industrial transformation and upgrading, and to promote the inclusive development of large models, so that the majority of small and medium-sized enterprises can use them well. Zhou Hongyi said.
Liu Bochao, deputy director of the Science and Technology Department of the Ministry of Industry and Information Technology, said that the application of digital technologies such as artificial intelligence in different links such as R&D and design, manufacturing, inspection and testing, as well as electronic information, biomedicine, raw materials, equipment manufacturing and other industries, will be expanded. With the deep integration of artificial intelligence and manufacturing as the main line, we will coordinate the layout of general models and industry models, and accelerate the promotion of new industrialization empowered by artificial intelligence.
Zhao Gang believes that to carry out "artificial intelligence + industrial manufacturing", we should focus on the realization of manufacturing mental labor automation. Develop industrial large models, promote innovative applications such as "artificial intelligence + generative design", and realize the intelligence of the whole process of manufacturing; develop "artificial intelligence + humanoid robots", promote the pilot application of humanoid robots embedded with large model intelligence in smart factories, and improve the precision and intelligence level of industrial automation production lines; vigorously develop "artificial intelligence + products", promote the intelligent embedding of large models, improve the level of product intelligence, better serve user needs, and enhance user experience.
"It is necessary to guide enterprises to invest resources in building high-quality data warehouses to ensure the reliability, integrity and accessibility of data. High-quality data directly determines the ability of artificial intelligence large models, which is an important foundation for promoting artificial intelligence to empower new industrialization. In addition, innovative technology R&D and cooperation ecosystems, the formulation of standards and policies, the acceleration of talent training and the modernization of the industrial chain are all key to promoting 'artificial intelligence+'. Han Jian said.
Source: Gongxin Weibao
Review / Edited by Chen Aijun / Li Yuhao
Submission email / [email protected] contact number / 0916-4823330
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