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“AI+制造”浪潮已来 工博会展现新型工业化新图景
◎记者 宋薇萍 当前,以AI为代表的数字化技术正深度融入产业智能化升级,成为推动工业变革的核心动能。 从亚微米级测量精度的"工业尺规",到全自动化的智能机床;从灵活抓取的仿人灵巧手,到高效切割的 激光设备……步入第25届中国国际工业博览会(简称"工博会")展馆,全球工业智慧在此交汇,硬核装 备与智能技术在此深度耦合,共同勾勒出新型工业化的新图景。 以"工业新质,智造无界"为主题,近日在上海开幕的第25届工博会紧紧围绕"高端化、智能化、绿色 化"主线,为制造业描绘出一条向极致跃迁的清晰路线。受访专家普遍认为,AI+制造,浪潮已来,势 不可挡。 第二代高温超导带材、小型模块化场反位形FRC-SMR、量子加密OTN行业专网……本次工博会上,超 导、可控核聚变、原子级制造、脑机接口、量子科技等前沿领域的突破性探索成果集聚,未来工业的发 展图景以极大、极小、极轻、极精、极智等极致维度获得了全景展示。 作为产业风口,机器人展区热闹非凡,上海机器人"四小龙"——新时达、柴孚、新松、节卡,与国际机 器人"四大家族"—— ABB、发那科、安川、库卡,同台秀"肌肉"。其中,节卡机器人面向全球首发 JAKA EVO工业具身智能平台 ...
未来智造局|2025工博会观察:AI驶向工业深处 小微工厂站上世界舞台
Xin Hua Cai Jing· 2025-09-26 14:13
新华财经上海9月26日电(记者杜康)作为全球工业发展的"风向标",2025年中国国际工业博览会 (CIIF)汇聚了来自全球28个国家和地区的3000余家中外展商,以及数千项新产品、新技术。逛展2025 工博会,记者看到,人工智能在工业的落地,已经不再局限于局部的智能化改造,而是产业模式的全面 改变。 为冷冰冰的金属大块头装上"大脑",AI让工业设备从机械化听从指令,到具备了自主规划能力;全链条 赋能,从研发设计到生产制造,再到运维服务,AI能够在每个节点创造价值;打造工业界的"淘宝",让 诸多小微工厂能够跨界成为未来产业供应商……众多案例,都是AI与工业领域双向奔赴的生动注脚。 AI重构供需逻辑小微工厂站上世界舞台 一家做保温杯内胆的小微企业,跨领域为一家美国企业做航空领域的储水设备内胆,还能为生物医药企 业做胰岛素便携真空泵?在海智在线展区,公司合伙人兼副总裁刘海涛讲述了AI如何赋能中小企业, 助力其从"平平无奇"的小厂商,进军到高附加值的尖端科技领域。 机床装上智能体"大脑" AI融入工业生产全链条 用户只需明确任务需求,机床就可以自主规划生产工艺与技术路径?上海交大智邦科技与上海交通大学 联合研发的机床 ...
在工博会找一个“AI脑”|品牌新事
吴晓波频道· 2025-09-26 00:21
文 / 老一枝 "今天你出来,不谈人工智能就落伍了 。 " 在工博会现场上,一位正在参观的企业家如是感慨 道 。 他经营着一家小型五金零部件制造厂。 在他的经历中,无论是行业峰会还是招商洽谈,人工智能已成绕不开的话题。 另一位汽车零部件领域的采购商的态度则更显激进: "只要能让产线转得快一点、库存压少一 点、订单接得多一点,借钱也要上(人工智能)。" 与上述担心信息差的企业家相比,另一些企业家对人工智能的认知已经进入到新的阶段,他们 的提问尖锐而务实: "这套系统能识别我生产线上的次品吗?""能预测设备故障周期吗?""库 存周转能加快多少?""能帮我降低多少成本?提高多少效率?" 9月23日至27日,第二十五届中国国际工业博览会在上海举办。这场大会几乎可以说是国内工 业领域最重要的一场经贸盛会,是唯一以国家命名、历史最长的国际级工业展会,汇聚了28个 国家和地区的3000家展商。 今年的展商们所面对的,是带着困惑和问题而来的企业家们,后者的目标专注 而 统一: 从 企 业到意识 ,寻找一个适合自己的 "AI脑"。 肖松博士与吴老师 与聚光灯下的消费级 AI相比,工业AI的舞台在产业一线,在看不见的隐蔽之处,如 ...
与近40家企业在工博会签约,西门子全面本土化
Di Yi Cai Jing· 2025-09-24 10:27
Core Insights - The challenges of achieving "AI + industrialization" include data acquisition and governance, as highlighted by Siemens at the 25th China International Industry Fair [1][4] - Siemens has signed agreements with nearly 40 companies to expand its local ecosystem and has showcased its first pilot application of the Industrial Copilot based on generative AI in China [1][3] Group 1: Industry Trends - Over 80% of enterprises recognize the value of industrial AI in enhancing production efficiency and reducing operational costs, yet 43% have not deployed industrial AI, and only 8% have achieved multi-scenario applications [3] - Key barriers to deploying AI industrial systems include high deployment costs, a lack of skilled professionals, and insufficient technological maturity [3] Group 2: Company Developments - Siemens has developed a new generation of smart assembly equipment for electric vehicles in collaboration with Zhongke Motong, marking the first pilot application of its generative industrial AI assistant in the Chinese market [4] - The new industrial PC product launched by Siemens is tailored for the Chinese market and compatible with the local operating system Kirin, demonstrating a proactive response to local demands [5] Group 3: Financial Performance - Siemens reported a 28% year-on-year increase in new orders, reaching €24.7 billion, and a 5% revenue growth to €19.4 billion for the third quarter of fiscal year 2025, although the software business within the digital industrial group faced challenges compared to the previous year [6]
2025工博会:AI与机器人成主角
Guo Ji Jin Rong Bao· 2025-09-24 01:16
Core Insights - The 2025 China International Industrial Expo showcases cutting-edge technologies and innovations from around 3,000 global exhibitors, highlighting the manufacturing industry's shift towards intelligence, flexibility, and sustainability [2][5][6] Group 1: AI and Robotics Innovations - Siemens and Zhongke Motong introduced the EMB intelligent assembly equipment for new energy vehicles, marking the first domestic application of Siemens' Industrial Copilot, which reduces program development time by 30% and lowers material waste by 10% [5] - Yujian Robotics presented a "super factory" platform that utilizes a centralized decision-making and distributed execution architecture, significantly enhancing production flexibility through multi-device collaboration [6] - The DOBOT ATOM humanoid robot achieved the first nationwide application of cross-scenario multi-task collaborative operations, demonstrating breakthroughs in key technologies for high-risk environments [6] Group 2: Sustainable Manufacturing Solutions - Delta showcased an AI digital factory and AI data center, emphasizing energy-efficient technologies that support sustainable industrial development through integrated solutions combining robotics, AI, and digital twin technology [7] - The Hong Kong Productivity Council presented AI-driven innovations, including a universal AI data management platform and an AI-powered wheelchair, aimed at enhancing manufacturing efficiency across various sectors [10] Group 3: Advanced Robotics Capabilities - The RICO wheeled humanoid robot from Siasun demonstrated advanced flexible grasping technology, suitable for complex collaborative scenarios [11] - ABB launched the OmniCore EyeMotion vision system, which enhances robot autonomy and functionality by allowing them to perceive and understand their environment using standard cameras, reducing debugging time by up to 90% [11]
抢先看!记者探馆2025工博会,见证AI与智造碰撞
Guo Ji Jin Rong Bao· 2025-09-22 15:55
Group 1: Event Overview - The 2025 China International Industrial Fair (CIIF 2025) will be held from September 23 to 27 at the National Exhibition and Convention Center in Shanghai, covering an exhibition area of 300,000 square meters and attracting over 3,000 exhibitors, including nearly 300 from the Fortune Global 500 and industry leaders [1] - This year's fair will showcase thousands of new products and technologies, marking the largest scale in history [1] Group 2: AI and Industrial Integration - The deep integration of AI and industrial automation is the core theme of this year's fair, with major companies like ABB, Schneider Electric, Siemens, and others presenting advanced solutions [2][1] - New thematic areas have been established, including "AI + Industrial Mother Machine," integrated circuit, nuclear power technology, and innovation incubation, aiming to create a "4S store" for Chinese industry [3] Group 3: Company Highlights - ABB will showcase dozens of cutting-edge products and system solutions in motion control, robotics, and mechanical automation, emphasizing autonomous multifunctional robots and dynamic path tracking solutions [5][8] - Schneider Electric will present software-defined automation solutions and energy management integration, demonstrating AI-enhanced solutions for various sectors [8][9] - New松 will highlight its AI welding system, which significantly improves welding efficiency and quality through AI visual technology and motion control algorithms [11] - Siemens will display over 180 products and solutions, including the upgraded "Drilling Heart 2.0" product matrix and AI-related innovations across the entire industrial value chain [12] Group 4: Innovative Products - Shanghai Electric will present a model of a green methanol integrated project, showcasing advanced technologies for converting agricultural waste into green methanol [16] - Shanghai Fanuc will unveil the R-50iA series robot control cabinet and the CRX series collaborative robots, designed for various industrial applications [17][14] - The "Thinking Source Intelligent Control" machine tool μAI will be launched, featuring autonomous path generation and self-evolution capabilities [19]
欧阳劲松谈国际标准与法规视角下人工智能与新型工业化融合发展路径
Xin Hua Cai Jing· 2025-07-28 05:51
Group 1: Core Themes of the AI Conference - The 2025 World Artificial Intelligence Conference was held in Shanghai, focusing on "Intelligent Era and Global Cooperation" [1] - The conference included high-level meetings on AI governance and international cooperation forums on AI standardization [1] - A governance practice guide for AI-enabled industry applications was released, highlighting the need for responsible innovation in AI [1] Group 2: International Standards and Regulations - The international community is accelerating the establishment of a "technology-standard-regulation" integrated governance system for AI in industrial applications [2] - Major international standard organizations are collaborating to address the fragmentation of standards and promote AI development [2][3] - The EU's AI Act introduces a risk-based regulatory framework for AI systems, categorizing them into different risk levels [4] Group 3: Key Standards and Guidelines - Various foundational standards have been developed under ISO/IEC JTC 1, including guidelines on AI concepts, management systems, and risk management [3] - IEC is focusing on standardization in industrial automation and smart manufacturing, with specific standards addressing predictive maintenance and AI safety [3] - ITU initiatives aim to promote ethical AI and develop standards across multiple sectors, including smart cities and healthcare [3] Group 4: AI Application in Industry - Germany's integration of AI with Industry 4.0 emphasizes the creation of interconnected and autonomous production systems [7] - Companies like Bosch and Siemens are leveraging AI to enhance manufacturing efficiency and optimize complex industrial systems [7][8] - The U.S. is prioritizing AI in manufacturing, with companies like GE using AI to improve reliability and efficiency in production processes [8] Group 5: Future Trends in AI and Industry - The convergence of AI with industrial internet, 5G, and digital twins is accelerating in the manufacturing sector [9] - The EU's AI Act emphasizes the importance of standardization in regulatory compliance for high-risk AI systems [9] - AI is transitioning from experimental phases to practical applications in industrial environments, enhancing efficiency and sustainability [9] Group 6: Governance and Development Strategies - The global AI landscape is evolving, necessitating a governance approach that aligns with national conditions and international standards [14][17] - Recommendations for China's AI development include focusing on practical applications, enhancing industrial innovation, and establishing a robust governance framework [16][17] - International collaboration is essential for aligning development strategies and standards, preventing market fragmentation [17]
150PB工业数据+智能体革命,西门子开启AI制造新纪元
机器之心· 2025-07-25 04:29
Core Viewpoint - Siemens is at the forefront of integrating AI into industrial processes, exemplified by its Industrial Copilot and Industrial Foundation Model, which enhance automation and efficiency in manufacturing environments [9][30][65]. Group 1: Historical Context and Development - The journey of Siemens in industrial AI began in 1964 with the creation of the Zuse Graphomat Z64, marking the start of computer-generated art and the long evolution towards AI in industry [2][4]. - Over the past 60 years, Siemens has transformed its Erlangen factory into a hub for over 100 AI applications, utilizing digital twin technology to mirror real-world processes [6][9]. Group 2: Industrial Copilot and AI Integration - The Industrial Copilot acts as a bridge between human language and machine operations, allowing users to issue natural language commands that the system translates into actionable tasks [10][18]. - This system significantly improves efficiency, enabling engineers to generate automation code quickly, reducing development time by nearly 50% and deployment time by 30% [14][15]. Group 3: Industrial Foundation Model (IFM) - The Industrial Foundation Model is a collection of models rooted in 150PB of validated industrial data, designed to understand and operate within the constraints of industrial environments [24][28]. - Unlike general-purpose AI models, the IFM is tailored to comprehend machine language and industrial logic, making it suitable for complex manufacturing processes [25][28]. Group 4: Data and Knowledge as Competitive Advantages - Siemens possesses a unique data asset of 150PB, which spans various stages of product design and manufacturing, providing a competitive edge in AI model training [34][36]. - The company’s extensive experience and industry know-how are critical in navigating the complexities of data collection, cleaning, and model deployment in industrial settings [40][41]. Group 5: Strategic Moves and Future Outlook - Recent strategic actions include the acquisition of Altair for over $10 billion, enhancing Siemens' capabilities in industrial simulation and AI-driven optimization [67]. - Siemens is also focusing on reskilling its workforce to ensure that employees can effectively collaborate with AI technologies, emphasizing the importance of cultural acceptance of AI in industrial environments [62][65].
WAIC 2025:AI赋能新型工业化的中国实践
Guan Cha Zhe Wang· 2025-07-02 13:54
Group 1: Event Overview - The WAIC 2025 World Artificial Intelligence Conference will be held from July 26 to 28, 2025, at the Shanghai Expo Center, with related exhibitions from July 26 to 29 at the Shanghai Expo Exhibition Hall [1] - The conference will focus on the transformation and upgrading of new industrialization, emphasizing the integration of AI in various sectors [3] Group 2: Key Forums and Topics - Seven important forums will be set up under the new industrialization section, discussing core directions such as intelligent manufacturing, physical intelligence, and industrial ecological innovation [3] - Key topics include the deep integration of AI with high-end manufacturing, digital collaboration among SCO member countries, and the application of AI in the development of China's new generation of intelligent shipbuilding [3][4] Group 3: Industry Participation and Innovations - The event will gather top scientists and industry leaders to promote AI+ manufacturing policies and showcase achievements in key industries such as integrated circuits, shipbuilding, aerospace, and high-end equipment [4] - Notable companies like Siemens and Schneider Electric will present innovative solutions, including Siemens' Industrial Copilot platform and Schneider's Eco Struxure edge intelligence box [18][21] Group 4: AI Applications and Case Studies - The forums will also focus on AI applications across various industries, including shipbuilding, aerospace, railways, and automotive, highlighting cross-disciplinary development directions [5][6] - The event aims to promote the sharing of AI-enabled marine innovation practices and advocate for the establishment of a trusted data space for intelligent ships [5] Group 5: Exhibition Highlights - The exhibition area will exceed 70,000 square meters, featuring over 70 industrial chain exhibits from 37 companies, covering the entire ecological chain from industrial foundation to application [16] - The event will showcase cutting-edge technologies and products, including AI-driven solutions for industrial scenarios and innovative robotics platforms [19][20]
对话西门子:为什么说Industrial Copilot是未来工业环境中人类的最强辅助
虎嗅APP· 2025-05-08 10:03
Core Insights - Siemens has established itself as a leader in the application of AI in industrial settings, with a focus on creating digital factories that enhance efficiency and sustainability [3][4] - The introduction of Industrial Copilot marks a significant advancement in integrating generative AI into industrial processes, promising to improve engineering and operational efficiency by 10% to 40% and 25% respectively [11][12] - The company emphasizes the importance of human-AI collaboration, viewing AI as a supportive tool for workers rather than a replacement [19] Group 1: AI Integration in Industrial Processes - Siemens' Chengdu factory is recognized as a "lighthouse factory" for its extensive deployment of nearly 100 AI projects across various applications, including quality inspection and waste management [3][4] - The company has over 1,500 AI experts and holds 3,700 AI patents, leading in Europe, which provides a strong foundation for its industrial AI initiatives [4] - The Industrial Copilot is designed to automate engineering tasks, significantly reducing the time required for programming and adjustments in production processes [9][11] Group 2: Evolution of Industrial Production - The evolution of industrial production is categorized into stages: from labor-intensive to automated, adaptive, and eventually autonomous production [7] - Siemens aims to lead the transition to adaptive production, where systems optimize operations based on various factors, such as electricity pricing [7][8] - AI plays a crucial role in this transition by consolidating the experience of numerous skilled workers into algorithms that can provide optimal solutions [8] Group 3: Practical Applications of AI - AI applications in Siemens factories include self-programming robots that adapt to real-time conditions, enhancing operational flexibility [10] - A predictive quality inspection system powered by deep learning allows for targeted testing of products, improving efficiency and reducing waste [10] - The Industrial Copilot is expected to streamline engineering processes, enabling rapid configuration and virtual debugging without extensive manual input [9][11] Group 4: Future Directions and Challenges - Siemens is exploring the concept of "Agentic AI," which involves systems that can autonomously analyze and report on operational conditions [12][13] - The company is committed to ensuring that AI solutions are not only effective but also profitable, precise, and aligned with sustainability goals [15][16] - A significant challenge in AI deployment is the need for continuous collaboration between data scientists and automation engineers to maintain and adapt AI models in dynamic industrial environments [18]