Integrated Technical Pathways for Multi-Source Heterogeneous Water Conservancy Data: A Case Study of the Ili Prefecture Business Data Access Scheme

Abstract

Water conservancy data—serving as the core foundation for water resources management, flood and drought disaster prevention, ecological protection, and hydraulic engineering operations—originate from diverse sources, vary significantly in structure, and exhibit different requirements for timeliness. These characteristics result in typical multi-source heterogeneity. Achieving effective integration of such data has become a key technical bottleneck in building smart water conservancy systems. Using the 2024 water conservancy informatization data aggregation scheme of the Ili Prefecture in Xinjiang as an empirical case, this study systematically analyzes the region’s data integration practices across eight major business domains, including river and lake supervision, project construction management, irrigation district management, and rural drinking water safety [2]. Three representative data access modes are summarized: real-time access of monitoring data, exchange-based integration of business system data, and review-based consolidation of historical data. A quality control mechanism centered on “reporting rate statistics” and an abnormal-data governance workflow are refined. On this basis, a three-stage implementation framework—“specification formulation, phased access, and dynamic quality inspection”—is proposed. This framework provides a replicable and scalable technical pathway for similar regions and offers methodological guidance for promoting water-related data capitalization, business collaboration, and intelligent decision-making.