Core Insights - Chinese scientists have developed a new technology for monitoring urban carbon emissions based on "Panoramic Artificial Intelligence (Panoramic AI)", which captures and traces the sources and changes of road CO2 emissions with higher precision, providing significant technical support for urban low-carbon management [1][2]. Group 1: Technology Development - The new technology addresses the limitations of previous carbon emission inventories, which had low spatial resolution and could not accurately reflect emissions differences across various road segments and time periods [1]. - The Panoramic AI carbon emission observation platform integrates AI technology with panoramic cameras, high-precision greenhouse gas analyzers, and meteorological sensors to collect diverse information such as CO2 concentration, traffic flow, building layout, vegetation coverage, and meteorological data during mobile monitoring [1]. Group 2: Application and Impact - The research team achieved high-precision identification of emission sources, with an average accuracy exceeding 93%, and the system can analyze the impact of various factors on emissions, including traffic conditions, surrounding landscapes, and meteorological conditions [1]. - This technology not only represents an innovative application of AI in environmental monitoring but also aims to build a multidimensional carbon monitoring system that integrates traditional carbon emission inventories and satellite greenhouse gas monitoring technologies, providing scientific support for urban low-carbon planning and emission reduction decisions [2]. - The technology has been implemented in Shenzhen, Guangdong Province, and is expected to be promoted to more cities to assess the actual effects of urban road CO2 emission reductions [2].

Core Viewpoint - Chinese scientists have developed a new technology for urban carbon emission monitoring based on "Panoramic Artificial Intelligence (Panoramic AI)", which provides high-precision real-time tracking of carbon dioxide emissions from road traffic, supporting low-carbon management in cities [1][2]. Group 1: Technology Development - The new technology addresses the limitations of traditional carbon emission inventories, which have low spatial resolution and cannot accurately trace emission sources or analyze their causes [1]. - The research team collaborated with the Shenzhen Ecological Environment Monitoring Center to create a Panoramic AI carbon emission observation platform that integrates AI technology with panoramic cameras, high-precision greenhouse gas analyzers, and meteorological sensors [1]. Group 2: Performance and Application - The Panoramic AI carbon emission observation platform achieves high-precision identification of emission sources, with an average accuracy exceeding 93% [1]. - The system can analyze the impact of various factors on emissions, including traffic conditions, surrounding landscapes, and meteorological conditions, revealing the spatiotemporal dynamics and driving mechanisms of carbon emissions [1]. - The technology has been implemented in Shenzhen, Guangdong Province, and is expected to be promoted to more cities for assessing the actual effects of urban road carbon dioxide reduction [2].