NITED W t 9 @ 19 41 les 转自：劳动午报 （来源：劳动午报） 市人大代表孙妍说："技术工人既是高端装备的操作者，更是人工智能与精密制造融合的实践者。高端 设备制造精度要求高，多年积累的手感和经验对工人提出更高的要求，由于调试周期长、精度把控难度 大也限制产能提升。现在通过嵌入AI视觉检测、智能调控算法，设备能自主校准参数、识别细微误 差。" 孙妍结合一线工作场景举例，以往研发模式靠不断试错，存在周期长、物料成本高的问题。现在借助数 字化手段，能够高效解决诸多难题，比如通过实验设计优化软件，就可以快速从海量参数中筛选出最优 组合。"所谓新时代的工匠精神，就是在数智工具的助力下，把精密制造的极致追求实现得更好。" 孙 妍说。 培育革新 北京市"十五五"规划纲要围绕数智化构建了全方位发展蓝图，核心是打造 "全球数智经济标杆城 市"与"数智北京"，以科技创新驱动产业、城市、民生全面升级。数智化的落地实现，核心离不开产业 工人队伍的能力适配与价值升级。目前，北京正以数智技术为桥梁，打通"工"到"匠"的成长通道，让工 匠精神在数智时代焕发新的光彩。在北京市十六届人大四次会议上，多位市人大代表围绕"数 ...

Core Viewpoint - The company emphasizes its commitment to AI technology and liquid cooling technology research and application, highlighting successful integration of AI into various products and platforms [1] Group 1: AI Technology Integration - The company has successfully applied AI technology in commercial cooking robots, vacuum cleaners, lawn mowers, AI visual inspection systems, AI beauty devices, and a "zero-carbon cloud" AI management platform [1] Group 2: R&D Investment - The company encourages investors to refer to its annual report for details on R&D investment projects related to AI and liquid cooling technology [1]

Core Insights - The digital R&D tool penetration rate among light industry enterprises has increased to 86.2% as of the first half of this year, while the digital management penetration rate reached 82.3%, indicating a solid foundation for intelligent manufacturing in the sector [1] - By 2024, the proportion of networked collaborative enterprises in the light industry is expected to be 47.2%, and the share of personalized customization enterprises is projected to be 18.3%, both exceeding the national average by 2.0 and 2.8 percentage points respectively [1] - Significant advancements in AI technologies such as visual inspection and intelligent sorting are being widely adopted in industries like home appliances, food, and sewing machinery, leading to notable improvements in quality and efficiency [1] - A total of 1,260 5G factories have been established in China, with the light industry accounting for 13%, or 167 factories, showcasing the sector's leading position in intelligent manufacturing [1]

Group 1 - The article discusses the recent issuance of the "Artificial Intelligence+" action plan by the State Council, which aims to empower various industries and promote high-quality economic and social development [1] - The transition from "Internet+" to "Artificial Intelligence+" reflects a shift in industrial dynamics, moving from efficient connectivity to cognitive empowerment through intelligent technologies [2][3] - The core methodology of this new phase of artificial intelligence development emphasizes "demand-driven, application-oriented" approaches, indicating a focus on practical applications and industry needs [3] Group 2 - Artificial intelligence is increasingly being integrated into manufacturing processes, demonstrating tangible benefits such as improved product defect detection rates and reduced energy consumption [4] - Companies are leveraging AI to enhance various aspects of their operations, including design, testing, and supply chain management, leading to innovations in materials and manufacturing [4] - The article highlights the importance of building a strong technological foundation and fostering open-source communities to support AI innovation and reduce research and development barriers [4][5] Group 3 - The article emphasizes the significance of developing specialized application scenarios to drive research and innovation, suggesting that localized models and data sets provide unique value that generic models cannot replicate [6][7] - The integration of AI into everyday production and life is seen as a catalyst for systemic economic and social transformation, with the potential to reshape development models across various sectors [7]

Core Insights - Jiangyin is emerging as a hub for robotics and artificial intelligence, hosting significant competitions like the ROBOCON and the "Shenda Cup" Intelligent Unmanned System Application Challenge, reflecting its strategic focus on cultivating new industrial advantages in technology innovation [1][2] Group 1: Industry Development - Jiangyin has identified artificial intelligence manufacturing as one of its five future industries, receiving strategic support to accelerate its development [1][2] - The "Implementation Plan for Promoting the Development of Artificial Intelligence Manufacturing Industry in Jiangyin (2025-2027)" aims to gather over 50 large-scale enterprises in the AI manufacturing industry by 2027, with a total industry scale exceeding 10 billion yuan and core industry scale surpassing 2 billion yuan [2] - Jiangyin's robotics industry is supported by local companies achieving technological breakthroughs, such as Jiangsu Teber Precision Machinery Technology Co., Ltd. and Jiangsu Hualan Pharmaceutical New Materials Co., Ltd., enhancing production capacity and reducing costs [3] Group 2: Talent and Innovation - The collaboration between local universities and industries, particularly through initiatives like the "Eight Ones" project, is crucial for transforming research outcomes into practical applications [3] - Jiangyin is fostering a talent pool through partnerships with local universities, creating a "think tank" for AI industry development and a "reservoir" for talent cultivation [3] - The city is actively participating in global AI events, such as the 2025 World Artificial Intelligence Conference, to stay aligned with AI development trends [4] Group 3: Strategic Initiatives - Jiangyin is implementing a comprehensive "six ones" nurturing system to enhance its industrial design and policy framework, aiming to establish itself as a key area for AI industry concentration in the Yangtze River Delta [4] - The city is leveraging its strong manufacturing foundation, research capabilities, and forward-looking policy arrangements to make significant strides in the robotics sector [4]

Core Viewpoint - Siemens Chengdu Digital Factory exemplifies the application of "Industry 4.0" and has achieved significant improvements in production efficiency and cost reduction through digital transformation, with a 2.3 times increase in efficiency and nearly 50% reduction in manufacturing costs over 12 years [3][6][8]. Group 1: Factory Overview - The Chengdu factory covers an area of 35,300 square meters, with over 14,000 square meters dedicated to production [3]. - The factory's design incorporates a four-story layout, with the first floor for logistics and production support, and the upper floors for office space [3][6]. - The factory has been recognized as a "Global Digital Lighthouse Factory" and a "Sustainable Lighthouse Factory," highlighting its advanced status in digital manufacturing [7]. Group 2: Digital Transformation and Automation - The factory utilizes a fully automated production line, capable of producing up to 80,000 products daily, with over 3,500 product types [10]. - Automation has optimized labor allocation, reducing the number of frontline workers to approximately 150, while enhancing the skill levels of remaining employees [19]. - Data collection is highly efficient, with 160,000 data points collected every 100 seconds, generating data equivalent to the daily mobile traffic of a city with 200,000 residents [10]. Group 3: AI and Innovation - AI is seen as a transformative force in industrial intelligence, with Siemens focusing on integrating digital and physical worlds [11]. - The concept of "digital twin" is employed to create real-time digital representations of physical entities, enhancing planning and operational efficiency [11][12]. - The factory encourages innovation through its "Idea Works" space, where employees can experiment with AI applications, resulting in 90% of AI solutions being developed by frontline workers [20]. Group 4: Human Capital and Future Outlook - The factory's workforce has grown from over 300 to 900 employees, with a significant shift towards higher-skilled roles, indicating a need for advanced capabilities in the AI era [19]. - The emphasis is on the importance of human creativity and innovation in the age of AI, with a belief that those who can leverage AI will thrive [21]. - The collaboration between Siemens and Chinese manufacturing highlights the potential for mutual growth and innovation in the global industrial landscape [24].