With the development of smart highways, the integration and analysis of multi-source highway data face challenges due to varying sensor sampling rates. To address this, we propose KIMII, an integrated management system for highway data that establishes bidirectional associations between dynamic response data (key information) and static data. KIMII incorporates three key technologies: a rapid key information identification method, hierarchical indexing technique, and adaptive window matching algorithm. The system features automatic key information annotation, bidirectional dynamic-static data querying, time-window visualization, and a user-friendly interface. Experimental results demonstrate that KIMII effectively supports comprehensive highway health analysis through multi-source data integration.