Core Viewpoint - The article discusses the concept of "算控安融合" (Integration of Computing, Control, and Security) introduced by Sugon Network, a subsidiary of China Science and Technology, aimed at bridging the gap between IT and OT engineers in the context of industrial intelligence [1][9][10]. Group 1: Challenges in Industrial Intelligence - Achieving industrial intelligence requires collaboration between IT engineers, who develop software using languages like C/C++, and OT engineers, who focus on stability and reliability using PLCs [2][3]. - Historically, IT and OT engineers have operated in separate worlds, leading to inefficiencies in project integration due to differing languages and tools [3][4][5]. - The introduction of AI and big data necessitates a collaboration that has not been effectively established, resulting in a disconnect between the two engineering disciplines [5][8]. Group 2: Proposed Solutions - Sugon Network's solution is a comprehensive system that integrates computing, control, and security into a cohesive framework, moving away from isolated systems [10][12]. - The company introduced four key products to facilitate collaboration: 1. SugonRI industrial programming platform, which simplifies industrial programming for IT engineers [10][11]. 2. SUNA network traffic analysis platform, providing a comprehensive view of data flow for network operations [11]. 3. Industrial simulation integrated machine, designed for high-performance industrial simulation and AI model training [11]. 4. Domestic industrial edge AI computing platform, enabling real-time AI processing on the production floor [11][12]. Group 3: Ecosystem Development - Sugon Network aims to build an ecosystem through two main strategies: empowering channel partners with low entry barriers and creating a developer community for engineers to learn and share [14][15]. - The company emphasizes an open ecosystem mindset, focusing on collaboration rather than competition with partners [15]. - The long-term goal is to evolve from a hardware provider to an integrated company covering the entire industrial chain from chip design to computing services [16].

Core Viewpoint - The article emphasizes the importance of self-controllable core technologies for industrial security, economic security, and national security as China transitions from a manufacturing powerhouse to an intelligent manufacturing leader [1] Group 1: Concept of Integration - The concept of "computing, control, and security integration" was introduced by Sugon Network at the Industrial Expo, aiming for self-sufficiency, safety, and sustainable development in Chinese industry [1] - The transition requires not only breakthroughs in individual technologies but also systematic innovation and changes in industrial philosophy [1] Group 2: Product-Level Implementation - Sugon Network's SugonRI platform significantly lowers the development threshold for industrial software and intelligent control, integrating AI and high-performance computing [2] - The SUNA industrial network traffic analysis platform addresses the "black box operation" issue in industrial networks, providing transparent governance solutions [2] - The domestically produced industrial simulation integrated machine offers strong computing power and AI capabilities, ensuring self-controllable and stable solutions for critical fields [2] - The edge AI computing platform focuses on intelligent operations at the edge, facilitating a paradigm shift from automation to intelligent control integration [2] Group 3: Ecosystem Collaboration - Sugon Network promotes a collaborative ecosystem through partner conferences, fostering a consensus on value co-creation and shared responsibilities [2] - The launch of the "Sugon Rui" developer community aims to create an open platform for learning, communication, and innovation, gathering developers' insights to enhance the domestic industrial software ecosystem [2] - The article highlights that only through collaborative innovation across the industrial chain can China gain a competitive advantage globally [2] Group 4: Strategic Commitment - Sugon Network is committed to a path of self-sufficiency and innovation, leading the charge in the integration of computing, control, and security [3] - The company expresses a willingness to collaborate with various partners to facilitate a true leap in China's industrial sector towards a digital and intelligent era [3]

Core Insights - The emergence of embodied intelligence robots at the 25th China International Industry Fair highlights the ongoing trend of "machine replacing human" due to labor shortages caused by aging populations and other factors [1][7] - The integration of AI into industrial robots is shifting from "single operation" to "super production teams," enhancing efficiency and flexibility in manufacturing processes [2][4] - The importance of calculating return on investment (ROI) for industrial robots is emphasized, as manufacturers prioritize cost-effectiveness and reliability in automation solutions [7][8] Group 1: Trends in Robotics - The trend of embodied intelligence robots is evolving towards "super production teams" that can handle multiple tasks and adapt quickly to changes in production lines [2][4] - AI vision technology is becoming a core driver for industrial robot applications, significantly improving processing times and product quality [6] - The domestic production rate of industrial robots in China has surpassed 50%, driven by advancements in core components and control technologies [13][17] Group 2: Challenges and Solutions - Despite high robot density in China, the development of industrial robots is lagging behind automation needs, with a significant portion of the workforce still reliant on manual labor [7] - The integration of AI in industrial settings raises safety concerns, necessitating the implementation of protective measures to prevent operational errors [9][10] - The need for reliable and flexible automation solutions is critical, as many factories struggle with the limitations of fully automated systems [8][15] Group 3: Future Directions - The concept of "calculating control and safety integration" is being introduced to enhance the reliability and safety of industrial robots [10][12] - The collaboration between various stakeholders in the robotics industry is essential for establishing safety standards and improving the overall functionality of robots [17] - The push for domestic production of robots is seen as a pathway to enhance safety, control, and autonomy in manufacturing processes [13][17]

Group 1: Event Overview - The 2025 China Industrial Expo is a significant event featuring over 3,000 global industrial participants, showcasing innovations across various industrial fields [1] - The expo highlights 392 exhibits categorized under five dimensions: "extreme large, extreme small, extreme light, extreme precise, and extreme intelligent" [1] Group 2: Semiconductor Industry Focus - The semiconductor chip sector is a key area of competition, with over 70 top global companies participating in the integrated circuit exhibition [2] - More than 90% of the exhibiting companies are national or provincial specialized and innovative enterprises, demonstrating China's growing strength in semiconductor technology [2] Group 3: Key Exhibitors and Innovations - Major exhibitors include companies across the entire integrated circuit supply chain, such as UNISOC, which is focusing on AI and mid-to-high-end markets with its T9100 chip [3][4] - The semiconductor materials sector is also highlighted, with companies like Zhongxin Jingyuan achieving significant sales milestones and expanding production capacity [4] Group 4: AI and Data Integration - The rise of AI is reshaping the semiconductor industry, emphasizing the need for effective data utilization and integration in smart manufacturing [6] - Companies like Sugon Network are introducing new concepts and products to enhance industrial safety and intelligence through AI [6][7] Group 5: Future Trends and Opportunities - The demand for customized chips, particularly ASICs, is expected to grow rapidly as AI workloads diversify [7][8] - Innovations in areas such as RISC-V architecture are anticipated to create new opportunities in processor design, driven by the needs of emerging technologies like smart wearables and autonomous driving [8]

Core Insights - The manufacturing industry is undergoing a profound genetic reconstruction amid a new wave of technological revolution and industrial transformation, highlighted by the 25th China International Industry Fair showcasing innovations from around 3,000 exhibitors across 28 countries and regions [1] Group 1: AI and Manufacturing Transformation - The AI-enabled insulin portable vacuum pump by Haizhi Online exemplifies how AI tools can assist small and medium enterprises in transformation, enhancing production capabilities significantly [3] - Haizhi Online's AI tools have helped over 280,000 clients in 107 countries produce millions of components, demonstrating AI's role in global industrial chain collaboration [3] - Sugon Network's industrial programming platform and other tools aim to make complex network operations more transparent and enhance performance in critical scenarios [3] Group 2: Green Manufacturing Initiatives - The fair highlighted green manufacturing, with Shanghai Fuzhi Technology showcasing projects on green fuel production, including green methanol and hydrogen [4] - Fuzhi Technology is leading a project to develop key technologies for converting biogas into green methanol, aiming for large-scale industrial application [4] Group 3: Digitalization Trends in Industry - The concept of "integration of computing, control, and security" is expected to provide a pathway for building a digital foundation for the manufacturing industry [5] - The establishment of the Shanghai Yangtze River Delta Advanced Manufacturing Development Research Institute aims to support the development of advanced manufacturing through research and technology transfer [5] - Future trends in industrial digitalization in China include the gradual improvement of independent technology systems, accelerated collaborative ecosystem building, and a focus on safety and performance [6]