中证报中证网讯(记者张鹏飞)近日，工信部公示2025年跨行业跨领域工业互联网平台动态评价结果，卡 奥斯位居第一，蝉联最高的"A级"评价，连续七年稳居双跨平台首位，技术创新能力、赋能应用成果及 行业影响力获得权威认可。 在我国推动工业互联网与人工智能深度融合的大背景下，身为中国工业互联网平台高发展水平的代表， 双跨平台承担着技术开拓者、资源整合者和实践探索者的战略重任。未来，卡奥斯COSMOPlat也将坚 持聚焦场景、深耕行业，以生态协同打通技术转化堵点卡点，推动制造企业从技术应用转向模式创新， 助力经济高质量、可持续发展。 作为国内首个基于工业互联网的垂域大模型，天智工业大模型融合海量数据（603138）、超200个专家 算法和110+智能体开发工具，通过"一行业、一模型"的模式，在石油化工、能碳、家电等领域打造多个 行业垂域大模型，将人工智能技术深入嵌入研发设计、生产制造、运营管理等核心环节，落地9大行业 的40多个场景。 在石化行业，卡奥斯天智.石油化工大模型开发出示功图智能助手、醛分离塔工艺优化智能体等38个智 能体，助力企业人工、能源成本下降10%；在家电行业，平台打造注塑工艺智能体、设备维修智能体 ...

Core Viewpoint - Kaos has been recognized as the top industrial internet platform in China for seven consecutive years, receiving the highest "A" rating from the Ministry of Industry and Information Technology, highlighting its technological innovation, application empowerment, and industry influence [1][3]. Group 1: Company Achievements - Kaos COSMOPlat has been awarded the highest "A" rating in the dynamic evaluation of cross-industry and cross-field industrial internet platforms [1][2]. - The platform has established the only national key laboratory for large-scale personalized customization in the industry and has been approved to build the National New Generation Artificial Intelligence Open Innovation Platform [3][6]. - Kaos has developed the Tianzhi Industrial Model, which integrates vast data and expert algorithms, creating multiple industry-specific models that enhance operational efficiency [5][6]. Group 2: Technological Innovations - The Tianzhi Industrial Model has been implemented in various sectors, including petrochemicals and home appliances, resulting in a 10% reduction in labor and energy costs for enterprises [6]. - The platform has created intelligent assistants and optimization models that facilitate digital transformation in industries, including the development of sustainable practices [6][8]. - Kaos has actively participated in the formulation of 17 international standards and 102 national and industry standards, leading the industry in standard-setting efforts [8]. Group 3: Industry Impact - The platform has empowered multiple industries, including home appliances, automotive, and chemicals, contributing to the establishment of 16 global lighthouse factories with a brand value of 116.335 billion [8]. - Kaos has introduced an innovative "1+N+X" model for urban empowerment, successfully implemented in several cities across China [8]. - The company aims to facilitate the deep integration of industrial internet and artificial intelligence, focusing on scenario-based applications and industry-specific solutions to promote high-quality and sustainable economic development [9].

近日，工信部公示2025年跨行业跨领域工业互联网平台动态评价结果，卡奥斯位居第一，蝉联最高的"A级"评价。该公司已连续七年稳居榜首，技术创新能 力、赋能应用成果及行业影响力获得权威认可。 | 首页 | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | | 组织机构 | | | | | | | | | 新闻发布 | | | | | | | | | 政务公开 | | | | | | | | | 政务服务 | | | | | | | | | 互动交流 | | | | | | | | | 工信 | 工信部网站截图 "双跨"平台是我国工业互联网领域的标杆力量，也是推动数字经济与实体经济深度融合的核心引擎。基于大规模个性化定制的模式创新，卡奥斯COSMOPlat 持续推动AI+工业互联网科技创新与赋能实践，不仅牵头建设行业唯一的大规模个性化定制全国重点实验室，还获批承建工业大脑—国家新一代人工智能开 放创新平台及国家级工业操作系统项目，为践行和发展新质生产力提供了支撑。 在科技创新方面，卡奥斯COSMOPlat持续推动"人工智能+制造"的技术创新和场景应用 ...

青岛地铁6号线，潜伏于钢铁肌理间的"隐形卫士"以毫秒级速度精准捕捉设备异动、提前发出预 警，让每一次呼啸而过的奔赴满载安心；胶州湾的潮起潮落间，有"智慧舵手"牵住风浪里的航向，让归 航的灯火温暖明亮…… 在全球产业格局重构的浪潮中，青岛，这座制造业重镇将人工智能作为抢占高地、纵深突破的关 键"战力"——以场景滋养技术生长，以技术重构场景价值，正培育出一片生机勃勃的"智慧雨林"。 如今的青岛，人工智能如海风浸润各行各业。数据见证成长：青岛已集聚人工智能产业规上企业 500余家，今年前三季度实现营业收入592.5亿元，同比增长15.8%；培育天智工业大模型、瀚海星云大 模型等产品超70款，在垂域大模型、海洋大模型、具身智能机器人等细分赛道多点突破，构建起兼具规 模与特色的产业生态。 筑基 在产业一线寻找人工智能的"练兵场" 一颗不足指甲盖大小的端侧AI芯片，能让楼宇商用空调节能25%——这枚诞生于国家高端智能化家 用电器创新中心（下称"国创中心"）的"中国芯"，是家电行业首颗以场景驱动模式研发并规模化落地的 全链条自主可控芯片。 "这种芯片因集成NPU（神经处理单元）具备独立的异构算力，无需'上云'即可本地完成数 ...

Core Insights - Haier Group and Alibaba Group signed a comprehensive strategic cooperation agreement focusing on AI collaboration, aiming to build a new digital industry ecosystem [1][2] - The partnership will concentrate on key areas such as AI + Cloud, e-commerce, and globalization, leveraging Haier's ecosystem and Alibaba's AI capabilities [1] AI + Cloud Collaboration - The collaboration will involve a full-stack AI partnership, developing industry-level models for smart homes and intelligent manufacturing, and enhancing AI applications [1] - Haier and Alibaba will create an integrated AI service system, combining Haier's industrial internet platform with Alibaba's computing power [1][3] E-commerce and Globalization - The two companies will deepen cooperation in domestic and overseas consumer markets, utilizing Haier's industrial strengths and Alibaba's e-commerce framework to establish a cross-industry digital ecosystem [1] - They will also build a resilient heterogeneous computing power platform to support Haier's expansion in key overseas markets like Southeast Asia [1] Industry Trends - The appliance industry is increasingly embracing AI, with Haier developing various AI applications across consumer and business sectors [3] - Haier has created the UHome model for smart homes and the Tianzhi industrial model for industrial internet applications, demonstrating its commitment to AI integration [3] - Alibaba has also been active in the appliance sector, forming partnerships with companies like Midea and TCL to advance AI and large model applications [4]

Core Insights - The report by IDC evaluates 18 vendors in the Chinese industrial large model and intelligent agent solutions market, highlighting the increasing focus and investment in these technologies within the industrial sector [1][4] - Kaos COSMOPlat is positioned as a "leader" in the evaluation, recognized for its strategic capabilities and advancements in industrial large model construction and intelligent agent development [1][4] Group 1: Industry Trends - The industrial sector is transitioning from the conceptual phase of large models to practical applications, with significant pilot projects being initiated by leading and medium-sized enterprises [4] - Key challenges for enterprises include data governance, model accuracy, ROI assessment, and human-machine integration, which need to be addressed for successful implementation [4] Group 2: Company Developments - Kaos COSMOPlat is leveraging its existing industrial data collection and processing capabilities to enhance its competitive edge in large models and intelligent agents, integrating AI capabilities into its application systems [5] - The company has developed vertical large models tailored to specific industries such as petrochemicals, energy, home appliances, and machinery, moving from general assistants to deep scenario applications [6] Group 3: Practical Applications - In collaboration with 延长石油, Kaos COSMOPlat has built an industrial internet platform that includes 38 intelligent agents, achieving significant improvements in operational efficiency, such as a 90% increase in fault detection rates and a 60% improvement in gasoline blending success rates [8] - The intelligent agents serve as a bridge for implementing large models in industrial settings, facilitating complex human-machine interactions and enabling autonomous decision-making [8][10] Group 4: Future Outlook - IDC anticipates that as best practices mature, the market will enter a phase of replication and large-scale application, with Kaos COSMOPlat's industrial large model already integrating a vast knowledge base and numerous ecological resources [10] - The company aims to continue exploring key technologies related to large models, optimizing learning through practical applications, and developing more intelligent agents and industry-specific large models to support sustainable development in manufacturing [10]

Core Insights - The 15th China Light Industry Informatization Conference was held with the theme "AI Empowerment, Consumption Renewal," where the "2025 Digital Transformation Leaders" case list was released, highlighting Haier's three digital practice cases [1][7] - The selected cases focus on innovative applications of AI and digital technologies in key areas such as smart homes, intelligent manufacturing, and the digital economy [1][5] Group 1: Haier's Digital Transformation Cases - Haier's case "Intelligent Fulfillment: AI + Supply Chain Full Link Optimization" was recognized for its AI capabilities, addressing the complexities of discrete manufacturing to efficiently meet user demands through an AI-driven supply chain fulfillment center [1][3] - The "TianZhi Industrial Large Model Smart Navigation Practice" from Kaos, also recognized, tackles challenges in industrial applications of large models, providing scenario-based solutions across nine industries, achieving significant efficiency improvements such as a 10% reduction in energy consumption for injection molding machines [3][5] - The "Uhome Large Model for Smart Home" was acknowledged for its digital service capabilities, transforming user interactions from passive control to proactive service, enhancing personalized smart living experiences [5][7] Group 2: AI Integration and Future Outlook - The integration of AI is seen as a transformative force in the industry, with Haier emphasizing the need for strategic, organizational, and process adjustments to fully embrace AI across all dimensions [7][8] - Haier aims to establish 2025 as the year of AI application, developing a multi-layered architecture that includes large models, intelligent agents, and AI-enabled devices to enhance user experiences and drive corporate transformation [7][8] - The Uhome large model facilitates intelligent collaboration in smart living environments, while Haier's health ecosystem focuses on AI applications in healthcare, and the Kaos TianZhi model supports high-quality development in manufacturing [8]

Core Insights - The book "The Path of Quality Management at Haier: From Zero Distance to Zero Boundaries" was published, encapsulating 40 years of Haier's quality management practices and providing a reference for high-quality development in the digital economy era [1][3] - The book addresses the evolution of Haier's quality management philosophy and practices, emphasizing the importance of user experience in today's highly personalized market [3][4] Group 1: Quality Management Evolution - Haier's quality management journey began with the "smashing refrigerators" incident, leading to the core principle that "the user is always right," which has shaped its quality culture [3][4] - The company has developed a "three high" quality system, focusing on high-quality products, systems, and personnel [3] - The "user experience first" culture has been a cornerstone of Haier's approach to quality management [3][4] Group 2: User-Centric Approach - The "RenDanHeYi" model, proposed by Zhang Ruimin in 2005, has evolved to transform quality management from post-sale satisfaction to full-process user interaction [4][5] - Haier's quality management is deeply rooted in its corporate culture, consistently prioritizing user needs and leading new directions in quality management [4][5] Group 3: Adapting to Changing Standards - Haier has maintained its quality philosophy of "the user is always right" while adapting to changing user demands and quality standards across different industrial eras [5][6] - The transition from traditional industrial standards to those driven by artificial intelligence highlights the need for "zero boundaries" in quality management [5][6] Group 4: Technological Integration - Haier is exploring the application of artificial intelligence in quality management, creating digital solutions that address the misalignment between preset standards and actual user needs [7] - The company has developed the Tianzhi Industrial Model, the first industrial internet platform in China, to enhance quality management through large-scale personalized customization [7] - Haier believes that true quality is achieved through a two-way engagement with users, rather than a one-sided output from the company [7]

Core Insights - The 2025 World Artificial Intelligence Conference and the High-Level Meeting on Global Governance of AI opened in Shanghai, showcasing multiple new AI and industrial internet achievements [1] - Kaos COSMOPlat unveiled its latest technological advancements, including the Tianzhi Industrial Model and the Tianzhi Petrochemical Model, both designed to enhance industrial internet applications [1][2] Group 1: AI and Industrial Internet Developments - Kaos COSMOPlat has developed the Tianzhi Industrial Model based on its industrial internet platform, which supports various industries through a unique "one industry, one model" approach, currently implemented in over 40 scenarios across nine industries [2][3] - The Tianzhi Petrochemical Model is a comprehensive model covering the entire petrochemical value chain, facilitating a shift from mass production to mass customization for chemical enterprises [3] - The Tianzhi Energy Carbon Model, developed from sustainable lighthouse factory practices, integrates over 30 years of energy management experience to assist users in managing energy consumption effectively [3] Group 2: Strategic Collaborations and Standards - Kaos COSMOPlat collaborated with Gartner to publish the "Kaos Tianzhi Industrial Model Digital Navigation Practice" white paper, providing actionable insights for industrial model construction and application [4] - The company initiated an international standard for intelligent interaction engines in partnership with IEEE, which will define the architecture and functional requirements for AI innovations [4][6] - Kaos COSMOPlat signed cooperation agreements with four companies to enhance smart factories, digital consulting, industry model construction, and green initiatives [6]

Summary of Key Points from the Conference Call Industry Overview - The conference focused on humanoid robots within the broader artificial intelligence (AI) sector, highlighting a shift in industry development from automation to autonomy [1][2] - The AI field has introduced six new elements: ecology, new scenarios, and capital, which are essential for constructing a commercial closed loop supported by funding [1][4] Core Insights and Arguments - The research goal for humanoid robots has transitioned towards autonomy, emphasizing flexible operations in open physical environments, with capabilities expanding from single-task execution to dexterous movement, long-term reasoning, and collaborative multi-robot tasks [1][6] - The VRA model is still in the exploratory phase for industrial applications, with claims of end-to-end solutions from some companies, but actual implementations rely on Model Predictive Control (MPC) and reinforcement learning [1][7][8] - There is a lack of effective benchmark evaluation standards for general robot models, making it difficult to align objectives and objectively assess technological development levels [1][9] Notable Developments and Innovations - Lenovo introduced a six-legged robotic dog and humanoid robot prototypes for applications in power inspection, forming a commercial ecosystem [3][11] - Haier invested in a new company and showcased its industrial internet platform, promoting the integration of robots into factory-level operations [3][12] - Companies like Cloud Depth and Strong Brain Technology demonstrated advanced robotic capabilities at the conference, including a four-legged robot performing complex maneuvers and a humanoid robot showcasing dexterous hand technology [13] Emerging Trends - The humanoid robot sector is witnessing significant changes, with discussions around foundational models and deployment challenges becoming more prevalent [5][6] - The focus on AI inclusivity and global governance is being emphasized, with China advocating for universal AI applicability to bridge gaps in AI adoption among countries [4] Financial Performance and Market Position - Structural component companies like Henggong Precision are showing strong profitability, having developed key materials for critical components previously reliant on imports [3][16] - Companies such as Rease Smart and Zhaowei Electric are innovating in their respective fields, focusing on lightweight and efficient designs for humanoid robots [17][18] Conclusion - The conference highlighted the dynamic nature of the humanoid robot industry, with significant advancements in technology, funding, and collaborative efforts among companies to address the challenges of autonomy and operational efficiency in real-world applications [1][4][15]