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济宁|济宁“智造”托举“大国重器”
Da Zhong Ri Bao· 2026-01-29 01:13
Core Insights - The article highlights the role of Jining's manufacturing industry in supporting major national projects through the integration of three "intelligent chains": wisdom, intelligence, and aggregation [2][3][7] Group 1: Technological Innovation - Jining's manufacturing sector leverages technological innovation as a key driver, exemplified by the production of high-speed train brake discs that meet international standards through advanced casting formulas and heat treatment processes [2][3] - The local government has established 206 provincial-level R&D centers and nurtured 1,378 high-quality enterprises, including 95 national-level "little giants" and champions, contributing to breakthroughs in critical technologies [3][4] Group 2: Digital Transformation - The depth of digital transformation in Jining's manufacturing industry is underscored by a 92.7% digital transformation rate among regulated enterprises, supported by initiatives like the "Ten Major Projects" and "Eight Major Actions" for digital economy development [4][5] - The revenue of the core digital economy industry has surpassed 80 billion, indicating significant growth and efficiency improvements in production processes [4][5] Group 3: Collaborative Ecosystem - Jining's manufacturing ecosystem is characterized by collaborative efforts across the industrial chain, with a focus on collective strength rather than isolated efforts, which is essential for supporting advanced manufacturing [4][6] - The "chain leader system" implemented in Jining promotes collaboration among enterprises, enhancing the overall industrial framework and contributing to a 10.2% increase in manufacturing value added [5][6] Group 4: AI and Smart Manufacturing - The launch of the world's first AI smart bulldozer by Shantui Engineering Machinery Co., which improves construction efficiency by 40%, marks a significant advancement in the intelligent transformation of the engineering machinery industry [5][6] - The integration of AI technology in manufacturing processes has facilitated a seamless connection between R&D, production, and service, driving innovation and collaboration among upstream and downstream enterprises [5][6]