In order to solve the problems of segmented information,insuffi cient utilization,lack of integration and disconnected applications,as well as to meet the needs of knowledge graph platform in digital twin watersheds development,this paper proposes a knowledge graph platform based on the data backplane with information from digital-twin watersheds,in both top-down and bottom-up ways. The platform is built by general framework design with a combination of the BERT-BILSTM-CRF model for entity recognition,Transformer model for relation extraction and Neo4j model for visualizing the knowledge output. A knowledge-based question answering system is also established to visualize the knowledge,accurately match questions with information in the data backplane and generate intelligent recommendations. The platform has mapped all watersheds in Sichuan province,supporting digital twin watersheds development and contributing to smart governance of rivers and lakes.