产业大脑+未来工厂

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重庆:全面提升现代产业集群竞争力,构建完善“产业大脑+未来工厂”新模式
Zheng Quan Shi Bao Wang· 2025-08-01 12:23
Core Viewpoint - The Chongqing Municipal Committee emphasizes the importance of advancing the "416" technology innovation layout action plan for 2025-2027, focusing on industrial innovation to drive comprehensive innovation and enhance the city's modern development capabilities [1] Group 1: Innovation Strategy - The plan aims to establish Chongqing as a source of original innovation, enhancing the influence, attractiveness, and competitiveness of innovation platforms [1] - There is a strong focus on deep integration of technological and industrial innovation to improve the resilience and security of supply chains [1] Group 2: Industrial Development - The initiative seeks to enhance the competitiveness of modern industrial clusters and promote a new model of "industrial brain + future factory" [1] - The "double increase" action plan will be accelerated to foster collaborative innovation within industrial clusters [1] Group 3: Policy and Ecosystem - The plan includes improving the policy mechanism to support comprehensive innovation and developing the Chengdu-Chongqing science and technology corridor [1] - There is a commitment to nurturing top-tier technology talent and innovation teams, creating a favorable innovation ecosystem to enhance the overall effectiveness of the city's innovation system [1]
重庆摩企迎来“产业大脑+未来工厂”时代
Sou Hu Cai Jing· 2025-06-09 00:14
Group 1 - Chongqing Taicang Technology Co., Ltd. successfully built a digital workshop with hardware and technology provided by Zongshen, while financing came from a leasing company [2][3] - Zongshen aims to expand production capacity and improve efficiency among parts suppliers, leveraging a digital system that tracks production and financial data [3][4] - The motorcycle manufacturing industry in Chongqing is undergoing a digital transformation, with Zongshen's acquisition of Longxin making it the largest motorcycle manufacturer in China [3][4] Group 2 - The motorcycle manufacturing process is characterized by its discrete nature, where assembly efficiency depends on the coordination of various independent components [4] - Zongshen's digital transformation efforts have led to a 0.3% increase in product quality, a 2.2 times improvement in per capita output efficiency, and a tenfold enhancement in error correction capabilities [4][5] - Many suppliers face challenges due to low levels of information technology, leading to inconsistent quality and production delays, which is a common issue in the motorcycle industry [5][6] Group 3 - The Chongqing motorcycle industry is part of a larger modern manufacturing cluster, with high-end motorcycles being one of the six key industries undergoing transformation [6][7] - The lack of unified information sharing among manufacturers, suppliers, and service providers is identified as a major bottleneck in the industry's transition to high-end products [6][7] - The establishment of an "industrial brain" is crucial for real-time monitoring and data-driven decision-making, which can enhance government policy formulation and industry support [6][7] Group 4 - Zongshen's acquisition of Longxin provides a significant opportunity to enhance its resource allocation capabilities and industry leadership [7][8] - The digital workshop model implemented by Taicang Technology serves as a collaborative approach to reduce the barriers for small and medium-sized suppliers in digital transformation [7][8] - The "industrial brain" will integrate data from various sources, including government policies, financial institutions, and market information, to create a comprehensive data chain for the manufacturing sector [8]