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高端装备智能化生产取得新进展
Ren Min Ri Bao· 2025-03-24 08:04
Core Insights - The article highlights significant advancements in the intelligent production of high-end equipment, particularly in the wind power sector, showcasing the integration of smart technologies in manufacturing processes [1][3]. Industry Developments - The production of wind turbine blades, traditionally labor-intensive, has seen a transformation with the introduction of intelligent auxiliary positioning technology, automated resin processes, and robotic surface finishing, allowing for the production of an 82-meter blade in just one day [3]. - In 2024, over 80 mechanical enterprises are expected to be recognized as the first batch of excellent intelligent factories in China, with an average reduction of nearly 30% in research and development cycles [3]. - The penetration rate of digital R&D design tools among key industrial enterprises has surpassed 80% [3]. Challenges in Intelligent Manufacturing - High-end equipment manufacturing faces challenges due to the contradiction between customized demands and standardized production, particularly in sectors like aerospace, rail transportation, and construction machinery [3]. - The requirement for high precision and reliability in manufacturing processes poses additional challenges, as many high-end equipment components require micron-level processing accuracy [3]. Technological Innovations - The production of CR450 train sets has highlighted the difficulties in welding new lightweight structures, leading to the development of automated welding programs that have improved the robotic welding rate to 90% [3]. - In 2024, the production of industrial robots in China is projected to increase by 14.2% year-on-year, reaching 556,000 units, marking a new high [3]. Recommendations for Industry Growth - The article suggests leveraging the leadership of state-owned enterprises and industry leaders to explore intelligent upgrades in key processes, providing a model for the sector's transformation [3]. - It emphasizes the need for enhanced financial support through differentiated credit policies and innovative financial products to encourage the construction of intelligent factories [3].
高端装备智能化生产取得新进展(经济新方位·探访智能工厂)
Ren Min Ri Bao· 2025-03-24 06:57
Core Insights - The article highlights significant advancements in the intelligent production of high-end equipment in China, particularly in the wind power sector, showcasing the integration of smart technologies in manufacturing processes [3][4]. Industry Developments - Over 80 mechanical enterprises are expected to be included in China's first batch of excellent intelligent factories by 2024, with an average reduction of nearly 30% in research and development cycles [3]. - The digital design tool adoption rate among key industrial enterprises has surpassed 80% [3]. Challenges in Intelligent Manufacturing - The production of high-end equipment faces challenges due to the contradiction between customized demands and standardized production, particularly in sectors like aerospace, rail transportation, and construction machinery [5]. - High precision and reliability requirements in manufacturing processes pose additional challenges, as many high-end equipment components require micron-level processing accuracy [7]. Technological Innovations - Companies are utilizing collaborative robots and automated guided vehicles to achieve dynamic adjustments in production lines, although flexible production of large components remains a challenge [6]. - The production of CR450 train sets faced significant challenges in welding due to new lightweight structural designs, leading to the development of automated welding programs that improved the welding success rate to 90% [7]. Future Outlook - The growth of intelligent manufacturing equipment is expected to facilitate efficient, flexible, and agile responses in high-end equipment factories [8]. - There is a call for state-owned enterprises and industry leaders to take the lead in exploring intelligent transformations in key processes, alongside enhanced financial support to promote the construction of intelligent factories [8].