"十四五"期间，在经济总量接连迈上万亿元新起点、跨越1.2万亿元新台阶后，制造业大市东莞提出 了"十五五"时期的经济发展目标。 12月12日，中共东莞市委十五届十次全会（以下简称"全会"）召开。全会提出，"十五五"时期，东莞经 济增长要保持5%左右的年均增速，到2030年GDP要超过1.7万亿元、人均GDP能够顺利迈过中等发达国 家的门槛值。 一个现实的问题是，在经过连续十几年的经济高速增长后，东莞 GDP的增长曲线已逐渐趋于平缓。随 着经济总量的扩大，每增长一个百分点都不易，这对经济结构和质量必然会提出更高的要求。 这就意味着，"十五五"时期，东莞经济总量要更上一步台阶，就需要进一步挖掘更大的经济发展潜能。 对此，全会提出了"智创优品、和美宜居"的城市发展战略目标，以此为统领推进未来五年经济社会高质 量发展各项工作，推动事关现代化建设全局的重点任务取得重大突破，加快建设现代化新东莞。 从激发经济增长新潜能层面看，东莞的思路是，"十五五"期间，要把智慧和创新作为培育新质生产力的 重要路径，确立以人工智能为主的科技型创新型产业发展导向，加快抢占新技术发展制高点，推动科技 创新和产业创新深度融合，支撑经济向新发展 ...

21世纪经济报道记者冉黎黎 北京报道 中央经济工作会议12月10日至11日在北京举行。会议确定，明年 经济工作要坚持创新驱动，加紧培育壮大新动能。制定一体推进教育科技人才发展方案。建设北京（京 津冀）、上海（长三角）、粤港澳大湾区国际科技创新中心。强化企业创新主体地位，完善新兴领域知 识产权保护制度。制定服务业扩能提质行动方案。实施新一轮重点产业链高质量发展行动。深化拓 展"人工智能+"，完善人工智能治理。创新科技金融服务。 服务业扩能提质优结构助力扩内需 需要注意的是，此前《中共中央关于制定国民经济和社会发展第十五个五年规划的建议》（以下简称 《建议》）在"建设现代化产业体系，巩固壮大实体经济根基"部分提到，实施服务业扩能提质行动。而 此次会议在"坚持创新驱动，加紧培育壮大新动能"重点任务部分特别提及"制定服务业扩能提质行动方 案"。 对于产业政策，去年提出"以科技创新引领新质生产力发展，建设现代化产业体系"，而今年则确定 为"坚持创新驱动，加紧培育壮大新动能"。需要注意的是，其中特别提到"制定服务业扩能提质行动方 案"。对于备受关注的"人工智能+"，其表述由"开展'人工智能+'行动"延展为"深化拓展'人工 ...

Core Insights - The Ministry of Industry and Information Technology and five other departments have announced the first batch of 15 leading smart factories, covering key industries such as equipment manufacturing, raw materials, electronics, and consumer goods, providing a clear path for the intelligent transformation of manufacturing enterprises [1] - Leading smart factories represent the pinnacle of smart manufacturing in China, serving as benchmarks for future manufacturing models and global competitiveness [1][2] - The cultivation of smart factories follows a gradient approach, categorized into four levels: basic, advanced, excellent, and leading, allowing enterprises at different stages to set achievable goals [1][2] Group 1 - Leading smart factories have an intelligent penetration rate exceeding 80% and are accelerating integration into high-value upstream and downstream supply chain segments [1] - The gradient cultivation strategy aims to prevent ecological imbalance by fostering a broad base of basic smart factories, enabling small and medium-sized enterprises to keep pace with technological advancements [2] - Advanced and excellent smart factories act as a core force, disseminating experiences from leading factories to specialized fields, creating a ripple effect [2] Group 2 - To enhance global competitiveness, leading smart factories must leverage artificial intelligence, with a requirement for at least 60% of their applications to involve AI technology [2] - Small and medium-sized enterprises face challenges in transformation due to high costs, risks, and a lack of technology and talent, necessitating low-cost transformation solutions and shared service platforms [3] - The evolution of smart manufacturing in China has progressed from isolated breakthroughs to systemic collaboration, indicating a significant historical leap towards becoming a manufacturing powerhouse [3]

想让智能工厂的尖子生更具全球竞争力，要用好人工智能技术。卓越级智能工厂要求应用人工智能技术 场景比例不低于20%，领航级智能工厂则不低于60%。作为智能制造塔尖，需突破传统制造瓶颈，探索 未来模式。人工智能是实现此目标的有效手段，从研发端仿真提速到生产端柔性制造，再到全链条协同 优化，人工智能技术都能实现深度赋能。 工业和信息化部等6部门日前公布首批15家领航级智能工厂名单，涵盖装备制造、原材料、电子信息、 消费品等多个关键行业。这为制造业企业指明了清晰的智能化转型路径，从基础级到领航级的梯度设 计，不同发展阶段的企业有各自的明确目标。 领航级智能工厂是智能工厂的金字塔塔尖。按照工业和信息化部的表述，领航级智能工厂代表着我国当 前制造业发展的最高水平，为行业探索未来制造模式，打造全球领先的发展标杆。入选领航级智能工厂 的门槛很高，企业要在本行业本领域居于领军地位，核心产品具有全球竞争力，智能制造达到全球领先 水平。目前，15家领航级智能工厂建设场景中的智能渗透率已超80%，并向上下游高价值链环节加速渗 透。 培育智能工厂的思路是梯度有序。根据《智能工厂梯度培育要素条件（2025年版）》，我国智能工厂分 为基础 ...

Group 1 - The Ministry of Industry and Information Technology and five other departments have announced the first batch of 15 leading smart factories, covering key industries such as equipment manufacturing, raw materials, electronic information, and consumer goods, providing a clear path for the intelligent transformation of manufacturing enterprises [2] - Leading smart factories represent the pinnacle of smart manufacturing in China, serving as benchmarks for future manufacturing models and requiring companies to be industry leaders with globally competitive core products and smart manufacturing capabilities [2] - The smart factory cultivation approach is structured in a gradient manner, categorizing factories into four levels: basic, advanced, excellent, and leading, allowing enterprises at different stages to have clear and achievable goals [2] Group 2 - The cultivation of smart factories is not just about selecting top performers; it aims to prevent ecological imbalance by widely nurturing basic smart factories, enabling small and medium-sized enterprises to keep pace with technological advancements through digital transformation [3] - Advanced and excellent smart factories act as a backbone, disseminating experiences from leading factories and creating a ripple effect in specific sectors, ultimately forming a robust and dynamic smart factory pyramid [3] - To enhance global competitiveness, leading smart factories must effectively utilize artificial intelligence, with a requirement that at least 60% of their applications involve AI technology [3] Group 3 - To strengthen the foundation of smart factories, it is essential to address the transformation challenges faced by small and medium-sized enterprises, which often struggle due to high costs, risks, and a lack of technology and talent [4] - Proposals for lightweight and low-cost transformation solutions are necessary to lower the barriers for small and medium-sized enterprises, alongside the establishment of shared service platforms to facilitate access to technology and resources [4] - The evolution of smart manufacturing in China has progressed from isolated breakthroughs to widespread implementation, indicating a significant historical leap towards becoming a manufacturing powerhouse [5]

Core Points - The 2025 World Intelligent Manufacturing Conference commenced in Nanjing, where the first batch of leading intelligent factories in China was announced, including 15 enterprises across key industries such as equipment manufacturing, raw materials, electronic information, and consumer goods [1][2] - The selected enterprises launched the "Leading Action Plan" initiative, marking a significant step in the development of intelligent manufacturing in China [2] - The Ministry of Industry and Information Technology stated that the leading intelligent factories represent the highest standard of intelligent manufacturing in China, integrating new information technologies, advanced manufacturing technologies, and lean management concepts [5] Summary by Category Intelligent Factory Development - Since the launch of the intelligent factory cultivation initiative, over 7,000 advanced intelligent factories and more than 500 excellent intelligent factories have been established in China [2] - The leading intelligent factories are considered the "crown jewel" of the intelligent factory cultivation system, embodying the leading level of China's manufacturing intelligence [2][5] List of Selected Enterprises - The first batch of leading intelligent factories includes: 1. Baoshan Iron & Steel Co., Ltd. - High-end green silicon steel predictive manufacturing intelligent factory, Shanghai 2. Shanghai Aerospace Equipment Manufacturing Co., Ltd. - High-reliability large-scale aerospace product full-process chain intelligent factory, Shanghai 3. Xuzhou Heavy Machinery Co., Ltd. - Global customized agile delivery mobile crane intelligent factory, Jiangsu 4. Nanjing Steel Co., Ltd. - Deeply collaborative personalized customization intelligent factory for special copper, Jiangsu 5. Sinopec Ningbo Zhenhai Refining & Chemical Co., Ltd. - Self-executing green petrochemical intelligent factory based on global optimization, Zhejiang 6. Hikvision Digital Technology Co., Ltd. - Large-scale personalized customization of IoT perception products intelligent factory, Zhejiang 7. Weichai Power Co., Ltd. - High-end engine intelligent factory based on digital lean model, Shandong 8. Qingdao Haier Central Air Conditioning Co., Ltd. - Central air conditioning full-process customization service and intelligent integrated factory, Shandong 9. Yangtze Optical Fibre and Cable Joint Stock Limited Company - Integrated intelligent factory for extreme process of rod and cable industry chain, Hubei 10. BOE Technology Group Co., Ltd. - 10.5 generation LCD panel intelligent factory driven by extreme efficiency, Chongqing 11. Zoomlion Heavy Industry Science and Technology Co., Ltd. - Excavator sharing manufacturing intelligent factory, Hunan 12. Gree Electric Appliances, Inc. - Full value chain collaborative air conditioning intelligent factory, Guangdong 13. SAIC-GM-Wuling Automobile Co., Ltd. - Automotive intelligent factory based on process decoupling and production line reconstruction, Guangxi 14. CNOOC (China) Limited - "Deep Sea No. 1" intelligent gas field optimized for all business lines, Hainan 15. Chengdu Aircraft Industrial (Group) Co., Ltd. - Advanced aviation equipment agile intelligent factory, Sichuan [4]

Core Insights - The State Council has issued an implementation opinion to accelerate the cultivation and large-scale application of new scenarios, marking a systematic deployment for scenario cultivation and openness [1][2] Group 1: New Fields and New Tracks - The opinion focuses on creating application scenarios in emerging fields such as digital economy, artificial intelligence, all-space unmanned systems, biotechnology, clean energy, and marine development [3] - In the digital economy, support will be provided for innovations like the metaverse, virtual reality, intelligent computing power, and robotics to deepen the integration of the real economy and digital economy [3] - The artificial intelligence sector will see accelerated cultivation of high-value application scenarios to meet the development needs across various fields including technology, industry, consumption, and governance [3] Group 2: Industrial Transformation and Upgrading - The opinion emphasizes the construction of intelligent, green, and digital application scenarios in industries such as manufacturing, transportation, smart logistics, and modern agriculture [4] - Key initiatives include fostering smart factories, zero-carbon parks, and industrial big model applications, as well as developing smart traffic management and vehicle networking [4] - The construction of application scenarios in emergency management, mining safety, smart water conservancy, and construction safety is also highlighted, focusing on enhancing safety production and ecological governance capabilities through technologies like intelligent perception and digital twins [4]

Core Viewpoint - The article highlights the transformative development in Yucheng County, Henan Province, focusing on the integration of innovation, governance, industry, and culture to achieve high-quality growth. Industry Transition - Yucheng County is transitioning from traditional manufacturing to intelligent manufacturing, exemplified by the smart production line at Henan Jiutian Manufacturing Co., which has reduced product development cycles by 40% and increased raw material utilization to 92% [2] - Traditional industries are also upgrading, with companies like George White Clothing implementing digital and intelligent models, resulting in over 25% improvement in production efficiency [3] - The food processing sector is expanding, with Henan Shengjia Food's modern factory capable of processing 20 tons of canned meat daily, achieving an annual output value of 1 billion yuan [3] Governance Innovation - Yucheng County has established a grassroots governance system integrating "Party building + grid management," enhancing problem-solving efficiency through digital platforms [5] - The county has divided its governance into 2,823 basic grids, ensuring comprehensive coverage and effective management [5] - A "two-color vest" service model has been introduced to streamline business services, allowing for efficient handling of inquiries and approvals [6] Rural Transformation - The county is promoting the large-scale cultivation of shepherd's purse, with 120,000 acres planted in 2023, generating an industry chain value of 4.4 billion yuan [7] - Innovative agricultural practices, such as the "grain-mushroom rotation" technique, are being adopted to enhance productivity and sustainability [8] - The establishment of a complete industrial chain in parrot breeding showcases the county's shift from reliance on external support to self-sustaining development [7] Cultural Renewal - The Renjia Courtyard, a provincial cultural heritage site, has been transformed into a living museum, integrating cultural exhibitions and creative industries [9] - The Ma Muji Old Street has become a cultural hub, featuring over 20 cultural projects that promote local heritage and tourism [9] - The county's efforts in cultural integration are creating a dual win for cultural tourism and cultural services [9] Conclusion - Yucheng County is effectively combining innovation, governance, industry, and culture to address high-quality development challenges, setting an example for other regions [10]

Group 1 - The company Qingyuan Co., Ltd. (603628) announced on October 16 that it is planning to build a smart factory according to lighthouse factory standards, funded by the public issuance of convertible corporate bonds [1] - The smart factory is expected to be completed by the end of 2026 and will begin gradual production in the second quarter of 2027 [1]

Core Viewpoint - The company emphasizes the importance of technological innovation and industrial integration in the context of the new technological revolution and industrial transformation, positioning itself to lead in future industries [2] Group 1: Technological Development - The rapid development of digital technologies such as 5G, industrial internet, new materials, big data, cloud computing, deep learning, and artificial intelligence supports the company's transition from "automation" to "digitalization" and "intelligence" [2] - The company aims to integrate advanced manufacturing with information technology to empower the digital, intelligent, and green development of the manufacturing industry [2] Group 2: Product Innovation and Market Strategy - The company's product range has expanded from intelligent manufacturing equipment to digital workshops and smart factories, showcasing its achievements in product innovation, research and development system construction, and marketing efforts [2] - Future strategies include a market demand-oriented approach, innovation-driven technology leadership, and ensuring core technology security through self-control [2] Group 3: Operational Goals - The company plans to accelerate the research and development of intelligent manufacturing equipment and the expansion of industrial service businesses, aiming for intelligent replacement of high-risk and labor-intensive operations to achieve safer, more efficient, and greener production [2]