[Representatives talk about new quality productivity⑤]

  ◎Our reporter Yang Lun and Li Liyun

  Zhu Hongfu Xiaobo

  "This year's government work report lists 'vigorously promoting the construction of a modern industrial system and accelerating the development of new productive forces' as the top ten tasks of the government in 2024, and makes arrangements to promote industrial innovation through scientific and technological innovation, highlighting the transformation and upgrading of the manufacturing industry. The key." Cao Zhi'an, member of the National Committee of the Chinese People's Political Consultative Conference, Party Secretary and Chairman of Harbin Electric Group Co., Ltd., told a reporter from Science and Technology Daily.

  High-end manufacturing is an important part of strategic emerging industries. The development of high-end manufacturing is an inevitable requirement for cultivating new productive forces and accelerating the construction of a manufacturing power.

High-end, intelligent and green are the ultimate goals of the transformation and upgrading of traditional industries.

  What is the path for the transformation and upgrading of traditional manufacturing?

How can new generation information technology such as digital intelligence be deeply integrated with manufacturing?

How to supplement and extend the chain and strengthen it to enhance the overall competitiveness of high-end manufacturing industry?

During the National Two Sessions, reporters interviewed some representatives and committee members with the above questions.

  Strengthen research on key and disruptive technologies

  Self-reliance and self-reliance in science and technology are the "foundation" for high-quality development of the manufacturing industry. Only by mastering the hard power of science and technology can we create a steady stream of driving force for improving productivity levels.

  "My personal experience is that independent innovation is the driving force for the development of new productivity." Feng Jianghua, a member of the National Committee of the Chinese People's Political Consultative Conference and chief engineer of CRRC Zhuzhou Electric Locomotive Research Institute Co., Ltd., believes that we must dare to challenge cutting-edge and disruptive technologies and focus on strengthening cutting-edge technologies. Multi-path exploration, cross-integration and source supply of disruptive technologies.

  "We started the research and development of permanent magnet traction technology in 2003. At that time, this technology was still a forward-looking technology." Feng Jianghua introduced that today, their permanent magnet traction system has been widely used in subways, high-speed rails and locomotives, making our country a One of the few countries that has mastered high-speed rail permanent magnet traction system technology.

  The essence of creating new productive forces is to achieve a transition in the development path of productive forces.

  "The traditional economic model emphasizes scale effects and resource-intensive production. The new productivity emphasizes key and disruptive technological breakthroughs on the basis that science and technology are the primary productive forces, focusing on technological innovation, intelligent production and high added value. Products." Huang Maoxing, deputy to the National People's Congress and vice president of the Fujian Academy of Social Sciences, told reporters.

He suggested that support for basic research should be increased, including gradually optimizing the layout of basic discipline construction and supporting the development of key disciplines and emerging disciplines.

  "Supporting the research system with a discipline system lays a solid discipline foundation for innovative development." Huang Maoxing said.

  Digital intelligence injects vitality into traditional manufacturing industry

  The reporter walked into CRRC Changchun Rail Bus Co., Ltd. on the eve of the National People's Congress and the National People's Congress. In the assembly production line group of the Bogie Division, he saw bogies being assembled lined up on the digital intelligent production line, waiting for inspection.

  In the past, this work had to be done manually.

"Now, we use AI (artificial intelligence) visual recognition, big data analysis, model calculation and other technologies to automatically capture and analyze the status of personnel operations, equipment, materials and other aspects." Cheng Jihui, director of the company's process and digitalization department, said.

  Technologies such as digital twins and artificial intelligence can realize real-time monitoring of equipment, accurate fault diagnosis and prediction, remote intelligent maintenance, etc., thereby improving production efficiency.

  He Han, a member of the National Committee of the Chinese People's Political Consultative Conference and chairman of Shanxi Data Traffic Valley, told reporters that as a gathering area for digital enterprises, they are promoting the combination of large model technology with Shanxi's characteristic advantageous industries such as coal, coke, steel, electricity, and new energy, and training to create large models in vertical fields.

  "Steelmaking enterprises use AI to achieve the dynamic optimal ratio of coking coal and iron ore; logistics and supply chain management processes use AI to achieve optimal path planning; industrial enterprises use large models to analyze equipment sensor data, predict equipment failures, and conduct predictive Maintenance, reducing downtime and so on." He Han said.

  Here, technological innovation and industrial innovation can promote each other, continuously optimize production factors in the production practice process, lead industrial transformation and upgrading, and achieve a leap in productivity.

  However, some representatives and committee members admitted to reporters that throughout my country's manufacturing industry, the pace of digital empowerment transformation is accelerating, but there is still considerable room for improvement.

  Cao Zhian believes that we should vigorously develop industrial robot intelligent manufacturing systems, carry out the construction of intelligent manufacturing demonstration factories, and create a number of "pilot type", "chain master type", "head goose type" and "platform type" future factories.

  Aiming at high-end and achieving a win-win situation by gathering “chains”

  Moving toward high-end manufacturing is one of the development goals of the manufacturing industry.

High-end manufacturing represents high added value and high profits, and requires innovative support including new materials, new processes, new technologies and other aspects.

  High-end machine tools, known as "industrial mother machines", are one of them. They are the basis for manufacturing other machines and equipment.

  Without advanced machine tools, it is impossible to produce high-precision, high-performance industrial products.

Yu Benhong, a member of the National Committee of the Chinese People's Political Consultative Conference and chairman of Kede CNC Co., Ltd., told reporters that to do a good job in the high-end industrial mother machine industry, it is necessary to strengthen technological innovation and policy support, and take multiple measures to promote the industry to be high-end, precise, customized, and green. Directional upgrade.

  Yu Benhong's company focuses on the research, development and industrialization of independent high-end five-axis machine tools and their key core components.

"Currently, the key components and core parts of our various high-end five-axis machine tools are fully autonomous and controllable, and our industrialization capabilities, supply chain resilience, and industrial chain security have all been significantly improved," Yu Benhong said.

  In the process of manufacturing industry moving towards high-quality development, strengthening and replenishing chains is crucial.

Feng Jianghua said that building high-end manufacturing requires optimizing the layout of the industrial chain, encouraging leading enterprises and consortiums with industry-level and scenario-level system solution capabilities to play a leading role, promoting the integrated development of upstream and downstream enterprises in the innovation chain and industrial chain, and achieving "aggregation" Chain" win-win situation.