Core Viewpoint - The article highlights the successful development of a high-precision deformation monitoring technology using the BeiDou system, led by Ye Fei, which significantly improves monitoring accuracy for long-distance cross-sea bridges in complex environments, achieving a precision increase of 21.5% compared to traditional methods [3][5][15]. Group 1: Technology Development - Ye Fei's team developed a new method for millimeter-level displacement monitoring, overcoming challenges posed by ionospheric disturbances and multipath effects in low-latitude regions [5][6]. - The innovative "ionospheric flicker identification algorithm" was introduced, enhancing the BeiDou positioning model to filter out signal distortions caused by ionospheric disturbances, resulting in a data purity improvement [6][15]. - The monitoring system achieved a high correlation of 92% with displacement meter values, successfully capturing micro-deformations at a precision of 0.5 millimeters [6][15]. Group 2: Application and Impact - The technology provides real-time monitoring and early warning for potential safety risks in bridge structures, contributing to the longevity and safety of major infrastructure [5][6][15]. - The BeiDou high-precision positioning technology is positioned for large-scale application in various engineering fields, including bridges, dams, and geological disaster monitoring [6][15]. Group 3: Industry Challenges and Innovations - The BeiDou high-precision positioning technology faces challenges such as high terminal costs and difficulties in widespread adoption [8][9]. - Ye Fei's team developed a compact multi-source fusion positioning terminal, integrating PPP-RTK, INS, and UWB technologies, which adapts to complex environments and maintains centimeter-level positioning accuracy [9][10]. - This terminal supports various communication modes and is designed for applications in smart transportation and autonomous driving, marking a significant advancement in the industry [9][10]. Group 4: Team and Institutional Support - The research team at Hunan Provincial Surveying and Mapping Science Research Institute is predominantly composed of young professionals, with a significant number of achievements in the BeiDou high-precision positioning field [11][12]. - Ye Fei has been recognized as a high-level technology talent in Hunan Province, reflecting the strong institutional support for innovation and research in the region [12][14].

Core Insights - The article discusses the integration of information technology and smart governance in Jingmen City, Hubei Province, focusing on the development of a spatial big data platform to enhance urban management and public services [1][21]. Group 1: Smart City Development - Jingmen City was approved as a pilot city for the construction of a smart city spatial big data platform by the Ministry of Natural Resources, becoming one of three pilot cities in the province [3][21]. - The platform has completed extensive data collection, including 12,400 square kilometers of aerial photography at a resolution of 0.1 meters and the production of 75,000 building models, creating a comprehensive 3D map of the city [3][21]. Group 2: Data Sharing and Application - The platform provides data services to 25 departments, serving over 100,000 users, and has significantly improved project approval efficiency by 60% [4][22]. - During the 2024 International Cycling Race, the platform integrated various data points to provide a comprehensive overview for event management, showcasing its practical application [4][22]. Group 3: Enhancing Resource Management - The integration of AI, big data, cloud computing, and IoT has transformed property registration processes, reducing average processing time from 8.9 hours to under 1 hour [6][23]. - The platform has enabled a shift from manual to intelligent monitoring in geological disaster prevention, with real-time data collection from 266 monitoring devices [7][23]. Group 4: Forest Fire Prevention - The city has developed a comprehensive fire prevention system utilizing satellite monitoring and ground-based cameras, achieving early detection and response capabilities [8][24]. - The system has recorded over 4,800 early warnings for potential fire hazards, demonstrating its effectiveness in resource management [8][24]. Group 5: Future Directions - The city aims to continuously enhance the accuracy and timeliness of its data, supporting a full-cycle smart governance model that includes pre-warning, real-time collaboration, and post-event evaluation [10][25]. - Ongoing development of 3D applications and data resource directories will further support urban planning and natural resource management [10][26].