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中科曙光的工业之问:IT和OT工程师,何以是两个世界?
Jing Ji Guan Cha Wang· 2025-09-28 03:34
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].
AI赋能新型工业化 从工博会看制造业基因重构
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]