像“汽车智驾”般实现“楼宇智控”?不动产行业进入AI新时代

Core Insights - The real estate industry is shifting from incremental development to stock operation, facing challenges such as rising vacancy rates in office buildings and increasing labor and energy costs, making traditional management methods unsustainable [1] - The introduction of AI and low-carbon technologies is seen as a solution to help asset holders achieve lean operations and enhance asset returns during the new urbanization cycle [1] Company Developments - Wanwuyun announced the commercial launch of its core technology product "Lingstone 3.0," which aims to transform real estate into intelligent entities with perception and cognitive abilities, similar to an "autonomous driving" system in cars [1] - "Lingstone" integrates various data streams, including video, energy, geographic information, and computational power, connecting existing hardware like cameras and air conditioning systems with new robotic solutions [1] - The third generation of "Lingstone" has begun deploying distilled large models and has evolved into edge devices embedded in cleaning and patrolling robots, creating a comprehensive ecosystem that includes software, robotics, low-carbon solutions, and value-added services [1] Industry Trends - "Lingstone" has achieved commercialization in 44 different scenarios and plans to incorporate computational services to create ESG labels for real estate and provide carbon services for enterprises [2] - Intelligent technologies, represented by "Lingstone," are becoming the core engine to activate real estate value, facilitating the industry's transition from scale expansion to quality and efficiency, thereby contributing to sustainable urban development [2]