Abstract: In the context of promoting high-quality urban development, urban physical examination, as a key tool for enhancing governance capacity, imposes urgent demands for comprehensive information technology support throughout the entire process. Addressing practical bottlenecks such as inconsistent data collection standards, difficulties in multi-source information integration, and the disconnect between diagnostic results and decision implementation, this paper takes the 2025 urban physical examination in Hami City center, Xinjiang Uygur Autonomous Region as a practical case study. By deeply integrating GIS, IoT and other information technologies, it explores a full-process digital solution. Through the construction of a digital platform integrating dynamic indicator management and four-level spatial coding, closed-loop management from data collection and intelligent quality inspection to the output of ‘two lists' (problem list and improvement list) is achieved, significantly enhancing work efficiency. Practice demonstrates that information technology not only reshapes business processes but also establishes a new paradigm of urban governance characterized by ‘data-driven, intelligent diagnosis'. In the future, further breaking down data barriers and promoting deep integration between technology and business operations will be key pathways to enhancing the modernization level of urban governance.