Core Viewpoint - The 2025 Global Industrial Internet Conference opened in Shenyang, focusing on "Artificial Intelligence+" and showcasing innovations in industrial internet to drive new industrialization [1][2]. Group 1: Conference Overview - The conference will last until September 8, featuring an exhibition of innovative development results with leading companies showcasing cutting-edge technologies and applications in the industrial sector [2][3]. Group 2: Key Highlights from Exhibitors - **Highlight 1: "Yuanjing" Equipment Manufacturing Application** China Unicom showcased "Yuanjing" applications and embodied intelligent robots, utilizing AI and industrial mechanism models to enhance equipment manufacturing and provide customized solutions [4]. - **Highlight 2: Smart Low-altitude Service Network** State Grid Liaoning Electric Power focused on smart services and green low-carbon initiatives, establishing a service network for power inspection and fire prevention [5]. - **Highlight 3: Jiutian Large Model Empowering Industry** China Mobile presented its Jiutian model, which supports various industrial applications, enhancing efficiency in oil fields and steel production [6]. - **Highlight 4: Industrial Intelligent Base** Huawei emphasized its industrial intelligent base, showcasing AI applications in steel and chemical industries to support digital transformation [7]. - **Highlight 5: Communication Towers as Digital Towers** China Tower demonstrated the upgrade of over 200,000 communication towers to support various applications, including fire prevention and monitoring [8]. - **Highlight 6: Security in Computing, Data, and Models** China Telecom highlighted its capabilities in computing and data security, showcasing its advanced model safety features [9]. - **Highlight 7: "Songyi" Wheeled Humanoid Robot** Siasun showcased its "Songyi" robot, which utilizes deep learning for material handling and is adaptable to various environments [10]. - **Highlight 8: Industrial Internet Platform** Shengu Group presented its industrial internet platform that enhances collaboration across the supply chain and supports predictive maintenance [11]. - **Highlight 9: Regional Cluster Digital Transformation** Shenyang's industrial transformation efforts were highlighted, showcasing the collaboration of small and medium enterprises in digitalization [12]. - **Highlight 10: Embodied Intelligence and Digital Twin** The Chinese Academy of Sciences focused on embodied intelligence and digital twin technologies, demonstrating their applications in semiconductor manufacturing and defense equipment [12].

Group 1 - The core viewpoint is that Anhui Province is actively enhancing its industrial internet platform cultivation and application, with significant progress in digital transformation services [1] - In the first half of the year, 22 new provincial-level key platforms were added, bringing the total to 92, with over 11 million connected devices and points [1] - The industrial internet platform regional development index ranks sixth nationwide, indicating strong growth and adoption [1] Group 2 - A digital transformation service team is being expanded, with 261 service providers selected for a resource pool by 2025, covering 14 key industry sectors and 31 business scenarios [2] - In the first half of the year, 964 large-scale enterprises underwent digital diagnostics, showcasing the proactive approach to digital transformation [2] - Focus areas include new-generation information technology and photovoltaic energy storage, with over 100 service providers engaging in precise supply-demand matching [2] Group 3 - The province is promoting the application of artificial intelligence in industrial settings, with a new action plan aimed at integrating AI in research, production, and quality inspection [3] - The development of the metaverse industry is being supported through an action plan, which includes drafting a work plan for cultivating industrial metaverse application scenarios [3] Group 4 - The expert committee for manufacturing digital transformation has been enhanced, now comprising 230 experts and around 100 service providers, linking with five national-level resources [4] - In the first half of the year, 69 training and consulting activities were organized, with 108 experts dispatched to assist approximately 3,600 enterprises and 16 parks and clusters [4]

数实融合纵深推进 市中区坚持将数字化、智能化作为转型升级核心引擎，深入实施"智改数转"行动，全面赋能制造业转型 升级。数字基座持续夯实，累计建成5G基站5481个、确定性网络1.45万公里，为新型工业化提供强力支 撑。技术赋能成效显著，成功打造国家级、省级试点示范15个。其中，国网电力的"火石"平台覆盖全省 16地市133个行业，连接工业设备超170万台，国内首次实现了省域分行业、分地区全社会用电量日计 算，获评国家级工业互联网"双跨平台"；山推建友创新融合5G技术与混凝土搅拌设备，推出智慧云服 务管理平台，成功入选工信部5G工厂名录。数字产业加速壮大，培育未来集团、北方智企等亿元级数 字化服务企业13家，2024年全区规模以上信息传输、软件和信息技术服务业营业收入达156.1亿元，先 后获评山东省"建设信息基础设施和推进产业数字化、数字产业化成效明显区"以及"DCMM贯标先进区 域"，数字化浪潮澎湃向前。 创新生态持续优化 产业能级不断跃升 市中区充分发挥信息通信网、能源互联网"两张网"资源优势，持续激发产业内生动力。随着发展动能加 速积蓄，一批掌握核心竞争力的骨干企业勇立潮头，山东电力设备公司成为全省唯一 ...

该书的一大亮点在于其实用性与案例丰富性。作者团队紧密结合工业生产实际，通过大量真实案例，将抽象的 技术原理转化为具体可操作的实践技能，使读者能够迅速掌握并应用于实际工作中。书中还配备了源代码、教 学课件、教学大纲、教学进度表、实验手册及习题题库等丰富资源，极大地便利了教与学。 对于物联网、工业互联网等专业的学子而言，《工业互联网数据采集技术与应用》无疑是一本不可或缺的教 材。同时，它也适合自动化、智能制造、物联网等领域的工程技术人员以及对工业数据采集技术抱有浓厚兴趣 的爱好者作为自学参考。该书的出版，无疑将为推动我国工业互联网技术的发展与应用贡献一份力量。 教育部高等学校计算机类专业教学指导委员会规划教材 面向数字化时代高等学校计算机系列教材 湾华大学出版社"十四五"规划教材 音 教学大纲 源代码 暨 实验手册 国 习题题库 教学进度表 业与脏网 工业互联网 长集技术与应用 数据采集技术与应用 编著:张书奎 王莹莹 金璐 邱斌 谢添姣 郭宇航 日本大学选展出 定价:59.90元 ISBN: 978-7-302-69419-9 清单大要出版社 03 《工业互联网数据采集技术与应用》从基础到实践，全方位剖析了工 ...

Core Viewpoint - The book aims to provide a comprehensive and practical guide on industrial data acquisition technology, highlighting its increasing importance in industrial production, management, and decision-making processes as China's economy rapidly develops [2][3]. Summary by Sections Chapter 1: Overview of Industrial Internet - Introduces the background and development of industrial internet technology, its concept, architecture, and significance [3]. - Discusses industrial data acquisition technology, including its characteristics and solutions [3]. - Covers the role and structure of industrial gateways and provides an overview of industrial internet experimental platforms [3]. Chapter 2: Industrial PLC Data Acquisition - Details the principles, hardware architecture, programming methods, and practical applications of PLC data acquisition technology [4]. - Explains the concept, structure, and working principles of PLC, along with its widespread applications in industrial automation [4]. Chapter 3: Industrial Ethernet Data Acquisition - Discusses the concept, protocols, and application scenarios of industrial Ethernet data acquisition technology [5]. - Focuses on the working principles of two mainstream industrial Ethernet protocols: PROFINET and EtherCAT, including device connections and communication protocols [5]. Chapter 4: Embedded Data Acquisition - Introduces embedded technology theories and its applications in industrial data acquisition [6]. - Analyzes ARM processor architecture and provides detailed explanations of STM32 microcontroller usage [6]. Chapter 5: ZigBee-based Wireless Data Acquisition - Provides a comprehensive overview of ZigBee technology and its applications in wireless sensor networks [7]. - Discusses the design of wireless sensor nodes based on CC2530 microcontroller and showcases practical applications of ZigBee in data acquisition [7]. Book Features - Comprehensive content covering various industrial data acquisition technologies, including concepts, principles, methods, and practical cases [8]. - Strong practicality by closely linking theoretical knowledge with real-world industrial applications [8]. - Rich in practical application cases to enhance understanding of industrial data acquisition technology [8]. Supplementary Resources - The book includes source code, teaching materials, syllabi, progress tables, experimental manuals, and question banks to facilitate teaching and learning [9]. Target Audience - The book serves as a textbook for higher education institutions in fields like IoT and industrial internet, and is also suitable for professionals in automation, smart manufacturing, and IoT, as well as enthusiasts interested in industrial data acquisition technology [10].

Group 1 - The conference in Shanghai focuses on "AI serving the real economy through digital technology integration," with over 1200 representatives from various sectors including communication, industry, healthcare, and consumer goods [1] - Companies are exploring how to utilize AI to optimize supply chain decisions and integrate generative AI into product design and customer service processes [1] - The challenge of "affordability" and "usability" of AI models, especially those with hundreds of billions of parameters, is hindering the realization of AI benefits [1] Group 2 - The integration of AI models into production lines is being showcased, highlighting the ability of industrial robots from different manufacturers to collaborate through a smart platform [6] - The CTO of a telecommunications company stated that switching packaging on a regular production line takes two to three days, while using robots can reduce this time to just half an hour with proper training [8] - The flexibility of production lines driven by embodied intelligence requires enhanced infrastructure capabilities, particularly with the integration of 5G-A networks and AI [10] Group 3 - The construction of a universal and rapid development platform, referred to as the MaaS platform, provides low-code and no-code tools for developing large AI models, supporting over 40 industry-specific models and 100 application scenarios [10] - This platform aims to help companies reduce costs, improve quality, and increase efficiency [10]

Group 1 - The core viewpoint emphasizes that information interconnectivity is a key engine for the quality upgrade of supply chains, with China having built the world's largest and technologically advanced information communication network, achieving full coverage of 41 industrial categories through the industrial internet [1] - A consumer in Europe can input specific requirements via mobile, and the data is transmitted through a 5G network to Chinese manufacturing enterprises' industrial internet platforms with an end-to-end latency of less than 20 milliseconds, significantly enhancing manufacturing efficiency [3] - The improvement in manufacturing efficiency is supported by digital infrastructure centered around computing power, with the "East Data West Computing" project initiated in 2022, aiming to establish eight major hub nodes and ten national data center clusters by the first quarter of 2025, achieving a total computing power of 215.5 billion billion floating-point operations per second [5] Group 2 - China has established 4.486 million 5G base stations and over 100 million connected industrial devices, enabling diverse applications through adaptable computing power, with more than 30,000 basic intelligent factories and over 1,200 advanced intelligent factories operational, covering over 80% of major manufacturing sectors [7] - The integration of information chains accelerates efficient communication between upstream and downstream sectors, facilitating quality upgrades in manufacturing [7]

Group 1 - The event focused on the integration of education and industry, highlighting the launch of a new school-enterprise cooperation plan and upgraded training direction for the MBA/EMBA programs at Shanghai University of Finance and Economics [1][2] - The "Business Chain Symbiosis" initiative aims to enhance collaboration between academia and industry, addressing the challenges of the evolving business ecosystem and fostering a new educational paradigm [2] - The new training direction includes seven modules designed to promote industry-education integration, such as expert-led forums, industry park visits, and practical projects that solve real business problems [2] Group 2 - A cooperation awarding ceremony took place, with nine organizations recognized as "MBA Talent Training Practice Bases," covering cutting-edge fields like artificial intelligence, biomedicine, and industrial internet [3] - This recognition signifies a significant step forward for the "Business Chain Symbiosis" plan, expanding the network of collaboration between schools and enterprises [3]

Group 1 - The core viewpoint of the article highlights how the integration of industrial internet and AI can enhance brand value, exemplified by the Kaos COSMOPlat platform, which has achieved a brand value of 116.335 billion yuan, an increase of 13.558 billion yuan from the previous year [1] - The World Brand Laboratory's report emphasizes that AI is now a central driving force in global brand strategy and digital supply chain management, facilitating a shift from product-centric to consumer-centric approaches [1] - The Kaos COSMOPlat platform has been recognized as a leading case in the development of industrial AI models, supporting over 45 high-value scenarios across nine industries, including home appliances and energy [3] Group 2 - The Kaos COSMOPlat platform has collaborated with Yanchang Petroleum to create an energy and chemical model, resulting in the development of 38 intelligent agents that enhance efficiency by an average of 20% in oil extraction and refining processes [3] - The platform's smart chemical park solutions have been implemented in over 30 chemical parks across more than 10 provinces, serving over 400 chemical enterprises [4] - In the Anhui Changfeng County industrial park, the energy utilization efficiency has improved by 20% and carbon emissions have been reduced by 15%, equivalent to the carbon absorption capacity of an additional 2,000 acres of forest [4]

Group 1 - The completion of the "10,000-Channel Factory" demonstration project by China Aluminum Guangxi Company marks a significant upgrade in the industrial internet infrastructure in Pingguo, Guangxi, enabling digital and intelligent transformation for industrial enterprises [1] - The project utilizes a "full optical base + industrial PON" architecture, achieving end-to-end 10G network coverage and integrating cutting-edge technologies such as industrial OTN and optical bus [1] - The 10G optical network features a single wavelength bandwidth of 50Gbps and deterministic network latency, catering to demanding industrial internet applications like 8K visual inspection and cloud-based robot control [1] Group 2 - The factory's production processes have been transformed, enabling real-time data transmission from raw material storage to finished product delivery, significantly enhancing production efficiency and accuracy [2] - Remote equipment control experiences near-zero latency, allowing for synchronized command issuance and device response, which supports rapid data transmission and in-depth analysis for informed decision-making [2] - The project supports intelligent application platforms such as industrial AOI systems, digital twin systems for production processes, and intelligent safety monitoring platforms, contributing to high-quality industrial development [1][2]