Abstract: To enhance intelligent construction and full-lifecycle management of prefabricated shoreline projects in complex hydrological settings, this study proposes a Digital Scenario methodology and develops, using the One Main Stem and Three Tributaries ecological-corridor improvement in Baoding as the case, an integrated platform that unifies sensing and modeling, intelligent analytics, and closed-loop task execution. Guided by a state-driven, model-linkage, task-closure logic, the platform adopts a four-layer architecture, sensing/modeling, analysis services, application interaction, and a data middle platform, and employs a semantic middle layer to bridge BIM, GIS, and hydrodynamic models, thereby enabling dynamic collaboration from the component level to the system level. By fusing multi-source sensor data with real-time modeling, the platform supports multi-scenario responses, including task triggering, path optimization, and structural early warning, so as to accommodate multidisciplinary coupling and frequent operating-condition disturbances. Relative to conventional digital-twin systems, the digital scenario places greater emphasis on semantic-layer-enabled multi-model linkage, state-perception-driven task responses, and multi-role collaboration. This platform has been deployed and verified in representative urban water system renovation projects and and show great performance in construction efficiency, operation-and-maintenance adaptability, and organizational coordination, providing a systematic support for the intelligent delivery of prefabricated hydraulic engineering.