Group 1 - The event organized by the Taiyuan Municipal Bureau of Industry and Information Technology focused on the integration of industrial internet into parks, specifically targeting the digital economy in Xiaodian District, with over 100 participants including local government officials and representatives from key manufacturing enterprises and digital service providers [1] - Experts from Shanxi Mobile discussed the development and application of artificial intelligence, while Haier Kaos shared practical experiences on how industrial internet empowers digital transformation for enterprises [3] - The Municipal Bureau plans to promote large-scale application of industrial internet in the manufacturing sector, accelerating the deep integration of industrial internet and artificial intelligence to inject digital intelligence into the city's new industrialization development [4]

Core Insights - The IASP 2025 World Conference was held in Beijing, showcasing the global influence of the Zhongguancun Industrial Internet Industrial Park through international collaborations [1][2] - The conference attracted participation from over 40 countries and regions, establishing a platform for international innovation resource integration [1][2] - A cooperation memorandum was signed between Zhongguancun Industrial Internet Industrial Park and the Seoul Economic Promotion Agency, focusing on cross-border services, joint technology research, international market expansion, and park management experience sharing [2][3] Summary by Sections International Collaboration - The IASP 2025 conference launched the "IASP 2025 Beijing Zhongguancun International Science Park Innovation Cooperation Initiative," providing a "Chinese solution" for global park collaboration [2] - The partnership aims to support small and medium enterprises in cross-border development and enhance innovation resource alignment in industrial internet, artificial intelligence, and smart manufacturing [2][3] Park Development and Achievements - Since the opening of the first phase in November 2024, the park has attracted 49 quality tech companies, establishing an industrial cluster centered on industrial internet [3] - The park covers a total planned area of 450,000 square meters, focusing on four core sectors: smart equipment, energy power, electronic information, and aerospace [2][3] Policy Support and Future Plans - The Shijingshan District has implemented a "one industry, one chain leader" mechanism to promote strategic emerging industries like industrial internet and artificial intelligence [3] - Zhongguancun Industrial Internet Industrial Park aims to deepen international cooperation and provide replicable "Chinese wisdom" for global industrial internet development [4]

Core Insights - The article discusses the transformation of the industrial internet, emphasizing the shift towards "Industrial Internet 2.0" with a focus on smart factories and intelligent platforms as core strategies for enhancing efficiency and decision-making in manufacturing [1][2]. Group 1: Industrial Internet Transformation - The industrial internet is evolving, with a core path defined as smart factories combined with intelligent platforms, aiming to address challenges such as rising costs and intensified competition in the manufacturing sector [1][2]. - The concept of "Industrial Intelligence" is introduced as a new paradigm for scaling Chinese manufacturing, highlighting the importance of intelligent decision-making and autonomous optimization alongside connectivity and data [2][3]. Group 2: Technological Implementation - The company has developed a low-code platform called "Lingxi Industrial Operating System," which streamlines the development process, resulting in a 59% increase in development efficiency and a 70% reduction in operational costs [2][3]. - Six key scenarios have been identified for practical application, including industrial governance and supply chain management, which have been validated through extensive real-world testing [2][3]. Group 3: Global Expansion Strategy - The company is preparing for international expansion, aiming to export its industrial internet and intelligent capabilities, particularly targeting the light industry sectors that require flexible production lines and rapid product iteration [4]. - The shift from exporting products to exporting capabilities signifies a strategic transformation, focusing on providing integrated smart solutions rather than just hardware [4]. Group 4: Talent Development - A new talent cultivation philosophy called "PhD in the Workshop" is being implemented to bridge the gap between technology and manufacturing processes, fostering a new generation of professionals who understand both domains [5]. - Collaborations with universities to establish industrial internet academies aim to produce versatile talents capable of engaging in real projects and gaining practical experience [5].

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]

Core Insights - The Jinan City government is actively promoting the "Industrial Strong City Development Strategy," focusing on industrial return and modernization of the industrial system, resulting in robust growth in the industrial economy of the Shizhong District [1] Group 1: Industrial Growth and Performance - Shizhong District has 82 large-scale industrial enterprises, with total industrial output value projected to reach 155.7 billion yuan in 2023 and 177.8 billion yuan in 2024, reflecting growth rates of 19.9% and 14.1% respectively [1] - The district has accumulated 330 industrial projects over the past three years, with total investments exceeding 90 billion yuan, indicating a strong foundation for future growth [2] Group 2: Key Industry Developments - The artificial intelligence sector is developing rapidly, with 40 key enterprises and a planned computing power of 4600P, focusing on high computing power and strong applications [3] - The new energy equipment industry is expected to achieve an output value of 70.4 billion yuan in 2024, contributing to the "Shandong Energy Internet Industry Cluster" with a total output value exceeding 340 billion yuan [3] Group 3: Digital Transformation - The district has established 5,481 5G base stations and 14,500 kilometers of deterministic networks, providing strong support for new industrialization [4] - The digital services industry is expected to generate revenues of 156.1 billion yuan in 2024, with 13 digital service enterprises reaching billion-level revenues [4] Group 4: Innovation Ecosystem - In 2024, the district is expected to register over 1,400 technology contracts with transactions exceeding 10 billion yuan, indicating a thriving innovation environment [5] - The number of provincial-level "specialized, refined, characteristic, and innovative" enterprises has doubled compared to the previous year, showcasing a significant increase in innovation capacity [5]

Core Insights - The book titled "Industrial Internet Data Acquisition Technology and Applications" has been published, providing valuable resources for learners and practitioners in the field of industrial automation and information integration [1][2][3] - The book is authored by a team of experts and aims to meet the urgent demand for professional knowledge in the industrial internet sector, priced at 59.9 yuan and set to be officially published on July 1, 2025 [1][2] Summary by Sections - **Overview of Industrial Internet**: The first chapter outlines the grand vision of the industrial internet, discussing the background, significance, and position of industrial data acquisition within the entire industrial internet framework [2] - **Technical Focus**: Subsequent chapters delve into specific technologies: - Chapter two covers the basic principles, hardware architecture, and programming methods of PLC, showcasing practical applications through real-world case studies [2] - Chapter three focuses on industrial Ethernet, particularly the PROFINET and EtherCAT protocols, analyzing implementation steps through project examples [2] - Chapter four discusses embedded data acquisition, exploring system architecture, hardware selection, and operating systems, with a detailed example using the STM32 microcontroller [2] - Chapter five provides a comprehensive introduction to ZigBee technology in wireless sensor networks, offering theoretical and practical guidance [2] - **Practicality and Resources**: The book emphasizes practicality and includes numerous real-life cases, transforming abstract technical principles into actionable skills. It also provides supplementary resources such as source code, teaching materials, and exercise databases to facilitate teaching and learning [2][3] - **Target Audience**: The book is essential for students in IoT and industrial internet fields, as well as for engineering professionals in automation and smart manufacturing, and enthusiasts interested in industrial data acquisition technology [3]

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]