China Water Resources

As an important component of digital twin water conservancy, the water conservancy knowledge platform provides intelligent support for water conservancy services and serves as a critical foundation for the transformation of these services from model-driven and data-driven to knowledge-driven. To address challenges such as insufficient authority of knowledge, insufficient systematization, and limited application scenarios, based on the construction practice of the digital twin water network knowledge platform, this paper proposed a “1+2+6” water conservancy knowledge service platform construction concept with the core of “underlying support–core engine–top-level service”. The paper systematically outlined the full-chain implementation pathways, including knowledge resource aggregation, quality control, governance integration, systematic management, knowledge graph construction, knowledge service engine development, knowledge resource management and application, as well as value assessment and circulation of knowledge resources. The application of the knowledge service platforms in business scenarios such as water network intelligent scheduling, happy rivers and lakes construction and management, engineering hazards and faults identification, virtual simulation teaching practices, compilation of water conservancy knowledge corpora, and circulation of trusted water conservancy knowledge data elements was explored. At present, water conservancy knowledge platforms are generally deficient in high-quality knowledge resources. This paper systematically outlines the routes for the collection, processing, and application of such resources, offering valuable references and insights for both the development of high-quality water knowledge assets and the building of water conservancy knowledge platforms.