Core Insights - Siemens showcased its Industrial Copilot system at the 2025 World Artificial Intelligence Conference, which integrates large language models with industry knowledge to autonomously execute complex industrial processes, potentially increasing production efficiency by up to 50% for clients [1][2] Group 1: System Features - The Industrial Copilot represents an upgrade in AI applications within the industrial sector, evolving from a passive assistant to an active agent capable of sensing, analyzing, deciding, and executing complete workflows [1] - The system features a unique architecture that separates the user interface from the backend execution agent, allowing for flexible task management and maintaining user control over task delegation [1] Group 2: Operational Capabilities - Engineers can issue voice commands such as "add new order," enabling the system to autonomously manage production line resources and complete the entire process from order input to logistics scheduling without additional programming [2] - The system has been integrated into various industrial processes, including design (NX CAD), planning (generative AI analysis), engineering (TIA Portal for PLC code generation), operations (Insights Hub), and maintenance (Maintenance Copilot Senseye) [2] Group 3: Market Adoption - Over 200 companies globally have deployed the Industrial Copilot for tasks such as equipment installation, program debugging, and troubleshooting, significantly reducing task completion times from hours to minutes through deep data analysis and automated solution generation [2]
西门子智能体系统Industrial Copilot中国首秀:让产线效率提升50%