"回顾工业革命的历程，从机械化、电气化到自动化，每一次变革都极大地提升了生产力。"中国工业互 联网研究院院长鲁春丛表示，当前在经历以智能化为主要特征的第四次工业革命。如果说第三次工业革 命主要解决的是"机械化换人"和"自动化减人"的问题，那么第四次工业革命，就是要实现智能化无人或 人机协同。 2月24日下午，广东省高质量发展大会"智能制造与工业互联网"分会场在广州举行。 一是建设数智基础设施，破解联不稳、算不快的数字基建瓶颈问题，构建云边协同、控网算一体的新型 基础设施，为海量工业数据的实时处理和智能应用的规模化部署提供坚实支撑。 二是推进工业互联互通，解决采不上、看不懂的数据源头难题，要实现工业全要素的泛在互联，重点要 解决"人机物料法环测"等要素的有效采集问题。 三是建设工业高质量数据集，破解数据多但质量低、有数据但不会用的数据要素瓶颈。 鲁春丛在会上提出，制造业是实体经济的根基，2025年，我国工业增加值达到41.7万亿元，其中，制造 业增加值达到34.7万亿元，占GDP比重稳定在25%左右，总体规模连续16年保持全球第一，我国还拥有 全球最完整、门类最齐全的工业体系，这构成了人工智能技术最宝贵的"全场 ...

Core Viewpoint - The integration of artificial intelligence (AI) into manufacturing processes is transforming production models and economic structures, becoming a key variable in driving industrial upgrades and reshaping the global landscape [1]. Group 1: AI Integration in Manufacturing - China Electric Equipment Group Co., Ltd. has incorporated AI into various stages such as R&D, production scheduling, distribution, and supply chain management [1]. - Zhang Fan, a representative and head of the technology innovation department, emphasizes the importance of "dual empowerment" between AI technology and manufacturing applications [1]. Group 2: Challenges and Recommendations - The industry faces challenges such as data silos, talent shortages, and insufficient integration of technology with business practices, necessitating policy guidance [1]. - Zhang Fan submitted recommendations during the 2025 National People's Congress, focusing on strategic planning, collaborative innovation, data ecology, and talent development [1]. Group 3: Government Response and Policy Implementation - The Ministry of Industry and Information Technology (MIIT) has actively engaged with Zhang Fan to discuss the recommendations, leading to the publication of the "AI + Manufacturing" action implementation opinions [2]. - The MIIT has adopted a diverse approach to processing suggestions, including face-to-face discussions and field research, ensuring a thorough understanding of industry conditions [3]. Group 4: Outcomes and Impact - The MIIT has successfully adopted numerous suggestions, resulting in the issuance of 101 policy measures and the incorporation of 334 suggestions into policy documents [3]. - The collaboration between representatives and the MIIT has transformed valuable ideas into actionable policies that promote high-quality development in the manufacturing sector [2].

Core Viewpoint - The development of service-oriented manufacturing is essential for optimizing resource allocation, expanding new growth spaces, extending industrial chains, and enhancing value chains in China's manufacturing sector [1][2]. Group 1: Definition and Characteristics of Service-Oriented Manufacturing - Service-oriented manufacturing refers to increasing the proportion of service elements in business operations, shifting the primary business model from product sales to providing "product + service" [1]. - It emphasizes the deep integration of manufacturing and services across the entire value chain, distinguishing it from traditional product-centric manufacturing [1]. - China's service-oriented manufacturing is characterized by its alignment with national industrial upgrading, leveraging strategic guidance, a vast market, and digital technology [1][2]. Group 2: Importance and Advantages - Developing service-oriented manufacturing is a key pathway to transforming China's large-scale market and complete industrial system into sustainable competitiveness [2]. - The technology of service-oriented manufacturing is becoming a crucial support for maintaining China's leading position in manufacturing, particularly in high-end equipment, new energy, and intelligent manufacturing [2]. Group 3: Growth and Development Strategies - Service-oriented manufacturing can achieve intrinsic growth by extending value creation throughout the product lifecycle, enhancing product value and customer loyalty [3]. - It promotes collaborative development within the industrial ecosystem, enabling small and medium-sized enterprises to share advanced manufacturing outcomes and integrate deeply into the industrial network [3]. - Key strategies for high-quality development include constructing a comprehensive digital service system, nurturing key service-oriented manufacturing industries, building a unified national market, and empowering enterprises to explore service-oriented transformation paths [4][5].

Core Viewpoint - China's manufacturing sector is poised for significant growth and transformation during the "14th Five-Year Plan" period, focusing on stabilizing the economy, advancing industrial upgrades, and fostering innovation to enhance competitiveness and sustainability [1][15]. Group 1: Stability - The reasonable growth of China's manufacturing output is essential for solidifying the economic foundation and supporting quality improvements in the industry [2]. - Key industrial provinces play a crucial role in stabilizing economic growth, contributing 80% of the industrial output value [2]. - The focus on stabilizing key industries, such as automotive and electronics, is vital for maintaining industrial economic growth [2][3]. - The government plans to implement new growth strategies for ten key industries to ensure long-term stability in the industrial economy [2]. Group 2: Progress - The effective enhancement of quality in China's manufacturing will strengthen core competitiveness and promote high-quality development [5]. - The growth rates for major manufacturing sectors, such as equipment and high-tech manufacturing, are projected to exceed the overall industrial growth rate by significant margins [5]. - The focus on high-end manufacturing and technological innovation will drive the industry towards higher value chains [6]. - The digital transformation of manufacturing is emphasized as a key strategy for improving quality and efficiency [6][7]. Group 3: New Growth Drivers - The cultivation of new quality productivity is essential for restructuring and revitalizing the manufacturing sector [9]. - Emerging industries, characterized by high technology and value, are seen as critical for driving economic growth and transitioning to sustainable development [9][10]. - Traditional industries will undergo significant upgrades, leveraging new technologies to support the growth of emerging sectors [10]. - Future industries will be strategically developed to ensure early positioning in high-potential areas such as quantum technology and artificial intelligence [11]. Group 4: Innovation - Technological innovation is identified as a core element for driving new productivity and enhancing industrial vitality [12]. - The government aims to increase high-quality technological supply by focusing on key industry needs and supporting major technological projects [13]. - Enterprises are recognized as the main drivers of R&D investment, with government policies aimed at further stimulating innovation [13][14]. - A collaborative innovation ecosystem will be established to facilitate the integration of various innovation resources into the manufacturing sector [14].

Core Insights - Yantai's economic and social operation for 2025 is focused on stabilizing operations, expanding capacity, enhancing innovation, and promoting transformation in the industrial sector, with a strong emphasis on manufacturing as a key driver of growth [1] Group 1: Industrial Performance - The city's industrial indicators are showing high growth, with the industrial added value, industrial technological transformation investment, and industrial electricity consumption expected to grow by 13.5%, 20.7%, and 14.6% respectively in 2025, leading to a total industrial output value exceeding 1.3 trillion yuan [1] - Among 37 major industrial categories, 9 out of the top 10 by added value are expected to see growth, particularly in petroleum, chemical manufacturing, and non-ferrous metal processing [1] Group 2: Technological Transformation - Yantai has implemented 135 provincial-level key technological transformation projects with an investment of 27.8 billion yuan, exceeding annual targets, and has been selected as a pilot city for new technological transformation in manufacturing [2] - The city has established 25,000 5G base stations and has a digital transformation coverage rate of 96% among industrial enterprises, with the addition of various levels of smart factories [2] Group 3: Innovation and Quality - The establishment of 18 new provincial-level R&D centers has brought the total to 262, with 182 provincial-level technology innovation projects leading to the development of 295 new technologies and 224 new products [2] - Yantai has recognized 48 enterprises for their quality management practices, with 3 achieving national-level recognition, marking the highest number in the province [2] Group 4: Industrial Ecosystem - The city has invested 111.9 billion yuan in 517 projects aimed at strengthening the industrial chain, while also attracting 10,600 talents and establishing 6 new industrial funds totaling 40 billion yuan [3] - Yantai's aerospace industry cluster has been recognized as an advanced manufacturing cluster in the province, with other sectors like deep-sea energy equipment and automotive parts also receiving accolades [3]

推动"新两翼"联动发展。服务保障央属标志性项目向雄安疏解，提升雄安新区中关村科技园发展能级，建设北京-雄安人才科创走廊。实施北京城市副中心 条例，保持千亿级投资规模，推动轨道交通M102线规划建设，完成市郊铁路副中心线北京西至良乡段整体提升工程，建设六环高线公园，推动通武廊交界 重点区域产业协同发展。 打造现代化首都都市圈。促进通勤圈一体发展，轨道交通22号线红庙至平谷段基本具备开通条件，做好跨界交通接驳，优化提升应寺、永乐等进京检查站。 推动功能圈创新发展，协同推进京津合作示范区建设，支持天津滨海-中关村科技园等合作园区发展。强化产业圈联动发展，积极推动北京（京津冀）国际 科技创新中心建设，持续提升科技成果区域内转化效率和比重，壮大智能网联新能源汽车等先进制造业集群。探索京津冀行政许可结果互认清单式管理，促 进教育、医疗等公共服务共建共享。 大力提振消费。研究制定城乡居民增收政策，增强居民消费能力。优化商业载体布局，提升传统商圈综合品质，补齐社区、特色街区便民服务短板。促进商 品消费扩容提质，优化"两新"政策实施，落实绿色消费推进行动，支持汽车、家电等大宗消费。 积极扩大有效投资。优化实施"两重"项目，加快 ...

报告提出，大力发展高精尖产业。巩固壮大实体经济根基，推动集成电路重点项目扩产量产，高水平建 设国际医药创新公园，全生态链推进绿色先进能源、新能源汽车、机器人、商业航天等重点项目；加快 建设全球数字经济标杆城市，全面实施"人工智能+"行动，建设国家人工智能应用中试基地；推进未来 产业先导区建设，培育6G、量子科技、生物制造等新增长点;推动传统产业提质升级，促进制造业数智 化转型。 北京商报讯（记者 程靓）1月25日上午，北京市第十六届人民代表大会第四次会议在北京会议中心开 幕。市长殷勇作政府工作报告。 ...

北京商报讯（记者 程靓）1月21日，在国务院新闻办公室举行新闻发布会上，工业和信息化部相关负责 人介绍，我国制造业数智化转型扎实推进，累计建成3.5万余家基础级、8200余家先进级、500余家卓越 级、15家领航级智能工厂。 ...

发布会上介绍，我国2025年工业和信息化发展，呈现 "稳""进""新""活" 四个特点。 1月21日，国务院新闻办公室举行新闻发布会，介绍2025年工业和信息化发展成效有关情况。 发布会上介绍， 我国6G第一阶段技术试验形成超300项关键技术储备。 5G和千兆光网融入97 个国民经济大类中的91个，工业互联网实现41个工业大类全覆盖，为经济社会发展注入更多活 力。 我国制造业数智化转型扎实推进，累计建成3.5万余家基础级、8200余家先进级、500余家卓越 级、15家领航级智能工厂。 "稳"的态势持续巩固。 "进"的步伐持续加快。 "新"的动能持续壮大。 "活"的效果持续显现。 来源丨央视新闻 编辑丨刘雪莹 大利好，国家发改委最新发声 重磅利好，财政部等多部门连发政策 SFC 21君荐读 ...

Core Viewpoint - The Ministry of Industry and Information Technology has issued the "Action Plan for the Integration of Industrial Internet and Artificial Intelligence," aiming to enhance the synergy between these two technologies to accelerate innovation and promote the digital transformation of the manufacturing sector [1] Group 1: Infrastructure Enhancement - China's industrial internet has transitioned to a high-quality development phase, with a core industry value exceeding 1.5 trillion yuan and a total industry scale approaching 3.5 trillion yuan [2] - The action plan emphasizes the need for further upgrades in infrastructure, focusing on intelligent enhancements in networks, platforms, and computing power to meet the demands of AI applications in industrial settings [2][3] - Specific targets include expanding the new industrial network scale to accommodate over 50,000 enterprises by 2028, alongside fostering intelligent solution providers and promoting technological innovation [3] Group 2: Application Scenarios - China has established the world's largest and most advanced information and communication network, with over 4.83 million 5G base stations, facilitating the integration of industrial internet and AI [4] - The action plan advocates for a scenario-driven approach to accelerate the application of AI in various industrial processes, including design, manufacturing, and operational management [5] - Companies are encouraged to develop intelligent solutions that enhance quality control and operational efficiency, addressing traditional challenges in industrial inspection [4][5] Group 3: High-Quality Industrial Data - The action plan aims to improve the industrial data aggregation, governance, circulation, and sharing system by 2028, creating high-quality data sets in 20 key industries [6] - High-quality industrial data is essential for deepening AI applications in the industrial sector, with the plan outlining a comprehensive technical support system for data lifecycle management [6][7] - Collaboration among leading enterprises and data service providers is necessary to address data standardization and quality control issues, particularly in sectors like steel [8]