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 ...

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]

Core Viewpoint - The Ministry of Industry and Information Technology (MIIT) has released the "Action Plan for Promoting High-Quality Development of Industrial Internet Platforms (2026-2028)", aiming for significant advancements in the industrial internet platform ecosystem by 2028, including the establishment of over 450 influential platforms and a device connection count exceeding 120 million [1][3]. Group 1: Action Plan Goals - By 2025, the core industry scale of China's industrial internet is expected to exceed 1.6 trillion yuan, contributing approximately 2.5 trillion yuan to industrial added value, with leading 5G factories reducing average operating costs by 19% [1]. - The action plan outlines four major actions: platform cultivation and enhancement, data intelligence improvement, large-scale application, and ecological support [1][4]. Group 2: Platform Cultivation and Enhancement - The plan emphasizes differentiated development of platforms, promoting specialized platforms for simulation design, equipment operation, and safety management, while enhancing the development and deployment capabilities of industry-specific platforms [4]. - It aims to establish a classification and grading system for platforms, creating a nurturing mechanism that includes basic, growth, leading, and ecological levels [4]. Group 3: Data Intelligence Improvement - The action plan focuses on unlocking the value of industrial data by enhancing data collection and aggregation capabilities, and developing a data labeling system centered on business scenarios [5]. - It encourages collaboration between platform and industrial enterprises to build specialized data sets and high-quality industrial model systems [5][6]. Group 4: Large-Scale Application - The plan supports the development of solutions for high-value scenarios and encourages small and medium-sized enterprises (SMEs) to upgrade their equipment through flexible usage of cloud software and industrial applications [7]. - It promotes innovative service models such as "pay after use" and subscription services to accelerate the large-scale application of platform solutions [7]. Group 5: Ecological Support - The action plan proposes exploring open-source mechanisms for industrial internet platforms and enhancing cooperation levels among various stakeholders [8]. - It aims to establish a new standard system for industrial internet platforms, focusing on interoperability, data models, and application standards [8].

Core Viewpoint - The Ministry of Industry and Information Technology has issued an action plan to promote the high-quality development of industrial internet platforms, emphasizing the need for enhanced connectivity and efficient resource allocation across various processes and sectors [1] Group 1: Large Enterprises - Large enterprises are encouraged to deepen the application of platforms, enhancing collaboration capabilities across departments, factories, and regions [1] Group 2: Small and Medium Enterprises (SMEs) - Support is provided for SMEs to accelerate the digital transformation of "dumb" equipment and upgrade key devices, utilizing flexible methods such as subscription and leasing for cloud software, industrial apps, and intelligent platforms [1] - The plan aims to guide platform companies in developing value-added services like order-driven and supply chain finance, facilitating SMEs' integration into the supply chain of larger enterprises [1]

Core Viewpoint - Guangzhou Municipal Government has issued a plan to accelerate the construction of a strong advanced manufacturing city from 2024 to 2035, focusing on developing independent software systems and enhancing product compatibility [1] Group 1: Software Development - The plan emphasizes the development of general foundational software with independent intellectual property rights, including operating systems, databases, middleware, and office software [1] - It aims to promote the establishment of new industrial software standards and achieve several landmark results in software development [1] Group 2: Industrial Software Focus - The initiative will focus on industrial general tools software such as CAD/CAM/CAE, EDA technology research and application, and common supporting technologies for industrial software [1] - There will be a push for the comprehensive application of independent innovation in industrial operating systems, middleware, industrial apps, and new database management systems [1] Group 3: Cloud Computing and Emerging Technologies - The plan includes the development of a next-generation cloud computing software system, enhancing cloud security and intelligent cloud service capabilities [1] - It supports innovations in high-performance data collection, high-capacity storage, massive information processing, artificial intelligence algorithms, toolsets, and blockchain technologies [1] - There is an emphasis on accelerating the development of new platforms related to machine learning, virtual reality, and the metaverse [1]

Core Insights - The Ministry of Industry and Information Technology (MIIT) has issued the "Action Plan for the Integration of Industrial Internet and Artificial Intelligence" aimed at enhancing the intelligence level of industrial internet platforms [1] Group 1: Key Initiatives - The plan emphasizes the use of deep learning and large models to strengthen capabilities in element connectivity, intelligent analysis, and resource allocation within industrial internet platforms [1] - It encourages industrial internet platform companies to accelerate innovation in low-code and no-code technologies based on artificial intelligence, thereby improving the efficiency of industrial APP development and system integration [1] - The initiative explores the creation of a "model pool" relying on industrial internet platforms, aiming to cultivate and launch a batch of industrial model products [1] Group 2: Technological Development - The plan promotes the compatibility of underlying architecture, data protocols, and artificial intelligence, fostering innovation in domestic intelligent agent standard protocols [1] - It aims to develop innovative models such as "industrial internet platform + intelligent agents," focusing on typical scenarios like production network optimization, human-machine interaction, intelligent equipment health management, and supply chain optimization [1]

Group 1: Core Industry Development - Jinan City has identified five key industries for future development: artificial intelligence, new energy equipment, aerospace information, high-end software, and automotive (new energy vehicles) [1] - The focus is on driving advanced manufacturing and digital economy growth through these industries [1] Group 2: Artificial Intelligence Industry - The goal is to build a "high computing power, large model, strong application" innovation system for the artificial intelligence industry [2] - Efforts include enhancing network infrastructure, supporting algorithm innovation, and creating an industrial ecosystem with leading companies like Alibaba and Tencent [2] Group 3: New Energy Equipment Industry - The strategy is to promote the new energy equipment industry towards intelligence and high-end development, focusing on wind, solar, nuclear, hydrogen, and energy storage [3] - Key initiatives include supporting major enterprises, advancing significant project construction, and establishing high-level innovation platforms [3] Group 4: Aerospace Information Industry - The development of the aerospace information industry is driven by low-altitude economy and commercial space, focusing on application scenarios and technological innovation [4] - Actions include expanding application scenarios, building an industrial system, and enhancing infrastructure [4] Group 5: High-End Software Industry - The software industry is being promoted towards high-end, intelligent, and large-scale development, with a focus on emerging software and industrial software [5][6] - The strategy includes leveraging application scenarios in various sectors and fostering a software industry cluster [6] Group 6: Automotive Industry - The automotive industry is being developed with an emphasis on smart manufacturing and expanding the new energy vehicle supply chain [7] - Key actions involve establishing a new energy vehicle industrial park and enhancing supporting services through AI and high-end software [7]

Core Viewpoint - The event held in Nanchang on July 4, 2025, focused on the digital transformation of the manufacturing industry in Jiangxi, highlighting a collaboration between Jiangxi and Zhejiang provinces to enhance digital service resource sharing and support the digital upgrade of Jiangxi's manufacturing sector [1][3]. Group 1: Collaboration and Agreements - Jiangxi and Zhejiang provinces signed a memorandum of cooperation to explore new paths for sharing digital transformation service resources [1][3]. - The collaboration aims to connect Zhejiang's high-quality digital service providers with Jiangxi's key industries under the "1269" action plan [3][4]. Group 2: Digital Transformation Initiatives - Jiangxi's manufacturing sector is experiencing a strong willingness to transform, with digital investment projected to reach CNY 146.3 billion in 2024 [3]. - Key indicators such as the penetration rate of digital R&D design tools and the application rate of industrial internet platforms are continuously increasing [3]. Group 3: Strategic Goals and Future Plans - The Ministry of Industry and Information Technology emphasizes the importance of integrating digitalization with traditional industries as a strategic task for new industrialization [3]. - Future initiatives include creating digital transformation demonstration projects, developing specialized applications, and establishing shared resources for small and medium-sized enterprises [4].

Core Viewpoint - The article highlights the significant contributions of Yang Wenhua, a skilled engineer at San Ning Chemical, in advancing the company's smart factory initiatives through innovative automation and control technologies, ultimately enhancing operational efficiency and environmental compliance. Group 1: Technological Innovations - Yang Wenhua successfully implemented a pneumatic control valve that improved the precision of operations from 1 second to 0.1 seconds, addressing issues of manual control in the new gasification furnace [2] - He developed a "dynamic prediction - intelligent adjustment" dual closed-loop control model that improved the control precision of sulfur dioxide concentration in the desulfurization tower to ±15 mg/m³, eliminating environmental compliance risks [3] - Yang Wenhua's team created a "big data modeling + intelligent control" system that utilized over 200 key parameters to achieve real-time monitoring and predictive maintenance of gasification furnace operations [4][5] Group 2: Operational Efficiency and Performance - The implementation of advanced data models and control systems led to a significant increase in production capacity and a 2% improvement in overall profitability for the sulfur production facility from October 2024 to March 2025 [5] - The smart factory initiatives have allowed for reduced operational frequency and periods of unmanned operation, showcasing the effectiveness of the new technologies [5] Group 3: Talent Development and Knowledge Transfer - Yang Wenhua established a skills master studio that provides tailored training programs for employees at various levels, collaborating with top universities and research institutions to enhance technical knowledge [6] - The studio has successfully trained over 100 employees in DCS hardware maintenance and programming, contributing to the filing of over 190 patents and the receipt of multiple awards for technological achievements [6] - The studio has been recognized as a national-level skills master studio, serving as a benchmark for talent cultivation in the industry [6]