During the distribution process of long-distance natural gas pipelines，significant shortcomings are observed in existing control methods:the constant pressure control method is prone to distribution volume deviations when user flow rates change abruptly，the remaining average method exhibits lag in response to demand variations，and the uneven coefficient method demonstrates weak anti-interference capability due to its reliance on historical data. To address these issues，an adaptive dynamic distribution control method based on real-time operating condition sensing is proposed，with Shandan Distribution Station as the practical application object. This method aims to enhance distribution accuracy，pressure stability， and system security through a dynamic hybrid control strategy，providing a new pathway for intelligent management of natural gas. A technical framework of "real-time sensing—anti-interference processing—data integration—fuzzy model—dynamic hybrid control" is adopted in the study:first，operating condition data are collected in real time，then，anti-interference processing and integration of the data are accomplished by combining median-average filtering and normalization techniques， finally，a fuzzy control model incorporating PID pressure control，adaptive flow adjustment，and dynamic weight allocation is constructed. Compared with traditional control methods，this adaptive dynamic distribution control method can effectively copewith the nonlinear relationship between pressure and flow during natural gas distribution，avoiding the performance degradation of traditional PID control under complex operating conditions. The application results indicate that the adaptive dynamic distribution control method offers the following advantages:dependence on historical data is reduced，and adaptability to real-time operating conditions is enhanced，a hierarchical weight adjustment mechanism is employed to balance security and flexibility，and a replicable technical solution is provided for the intelligent upgrading of natural gas distribution stations.