四新赋能
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曾进泽:广东推动超5万家规上工业企业数字化转型
2 1 Shi Ji Jing Ji Bao Dao· 2026-02-24 08:47
南方财经记者了解到,截至2025年底,广东省推动超5万家规模以上工业企业数字化转型,超额完成省政府"十四五"目标任务。 其中,重点企业数字化研发设计工具普及率93%、关键工序数控化率74%、经营管理数字化普及率88%,关键数据指标均居全国 前列。 广东省工业和信息化厅厅长曾进泽。谭砚文摄。 南方财经记者谭砚文广州报道 2月24日,在全省高质量发展大会智能制造与工业互联网分会场,广东省工业和信息化厅厅长曾进泽介绍了广东智能制造与工业 互联网发展情况。 (文章来源:21世纪经济报道) 曾进泽介绍,广东正在探索以"链式改造"带动产业链供应链向"优"升级,形成协同发展的新格局。一是以龙头企业带动供应链 协同,推动骨干企业建设数字化供应链,开展协同采购、协同制造等应用,带动上下游企业互联互通。例如,智能家电头部企 业接入供应商超16万家、打造工业APP超1200个,实现大数据调度生产,帮助企业生产效率提升38%、订单交付时间缩短25%。 二是平台企业赋能产业链转型,推动工业互联网平台为上下游企业提供低成本、快部署的数字化方案,打造柔性生产、众包众 创等新业态。三是人工智能赋能软件产业,推动重点企业建设智能体一体化服务平 ...
改造项目效率平均提升30%,广东力推传统产业“四新”赋能
Nan Fang Du Shi Bao· 2025-06-21 03:15
Core Viewpoint - Guangdong province is intensifying efforts to empower traditional industries through the application of new technologies, processes, materials, and equipment, which is crucial for the transformation and upgrading of the manufacturing sector [1][4]. Group 1: Traditional Industry Significance - Traditional industries in Guangdong account for over 70% of the added value of above-scale manufacturing, 65% of tax revenue, and 75% of employment, highlighting their critical role in the industrial economy [1]. - Upgrading traditional industries is essential for solidifying the manufacturing base and developing new productive forces [1]. Group 2: Financial Support and Collaboration - China Construction Bank's Guangdong branch introduced comprehensive financial solutions for enterprise technological transformation, providing specialized loans totaling 960 million yuan for equipment updates and technology improvements [2]. - Collaboration among research institutions, financial entities, and enterprises is emphasized to enhance the application of new technologies in traditional industries [1][2]. Group 3: Technological Pathways - The "Five Modernizations" approach proposed by South China University of Technology focuses on standardization, modularization, integration, systematization, and process optimization to facilitate AI integration in manufacturing [2][3]. - AI models can enhance production efficiency and provide management support in decision-making, compliance, marketing, and cultural heritage [3]. Group 4: Policy and Future Directions - The Guangdong provincial government plans to release a work plan for "Four New" empowerment in traditional industries, targeting sectors such as petrochemicals, steel, non-ferrous metals, construction materials, machinery, automotive, light industry, and textiles [4]. - Recent projects have shown an average production capacity increase of 10%, product qualification rate improvement of 6%, production cost reduction of 8%, and production efficiency enhancement of 30% post-transformation [3].