直击2025工博会：AI“魔法”解锁工业新可能！

Core Insights - The 25th China International Industry Fair was held in Shanghai from September 23 to 27, focusing on "New Industrial Quality, Boundless Intelligent Manufacturing" [2] - Schneider Electric showcased its commitment to accelerating digital and green transformation in industries through innovative technologies and solutions [3][4] Group 1: Technological Innovation - Schneider Electric presented its EcoStruxure open automation platform (EAE) with a V25.0 upgrade, introducing multiple new features [4] - The company launched a new generation of intelligent digital controllers, Modicon M590d, designed for industrial edge computing and digital transformation [4] - Schneider Electric introduced a "Golden Four Set" for machine motion control, which includes Harmony ET5 HMI, Altivar 305 variable frequency drive, Modicon M310M motion controller, and Lexium18ME servo drive, adaptable to various industries [4][5] Group 2: Strategic Partnerships and Solutions - During the fair, Schneider Electric signed strategic agreements with multiple industry partners and released the third part of the "5G + Edge Computing" report, emphasizing its achievements in technological innovation and ecosystem collaboration [5] - The company aims to provide comprehensive solutions for intelligent factory upgrades, integrating AI and green technologies into its offerings [6][9] Group 3: Focus on Sustainability - Schneider Electric emphasizes the importance of green design in its operations, incorporating sustainable materials and practices from the design phase through to daily operations [9][10] - The company aims to help clients in high-energy-consuming industries achieve energy savings and operational efficiency through intelligent and sustainable solutions [10] Group 4: AI Integration - Schneider Electric is actively exploring AI applications throughout the product lifecycle, from design to manufacturing, focusing on areas like machine vision and predictive maintenance [10][11] - The company believes that AI should address specific operational needs rather than being developed in isolation, promoting practical applications in industrial settings [11]