Building and Application of Water Conservancy Knowledge Graph for Digital Twin Project
The building of a knowledge graph within the water conservancy sector can offer structured knowledge support for digital twin water conservancy projects.Based on the forecast and scheduling,engineering safety and business rule data of Xiaolangdi and Wanjiazhai key water control projects on the Yellow River,an entity recognition and relationship extraction model was used to build a water conservancy knowledge graph for digital twin engineering(KG4DT),and the graph was visualized and displayed.It determined the entity classification system and relationship classification system with the key water control project as the core,and built the pattern layer of KG4DT.It used a secondary de-velopment annotation platform to perform semi-automatic annotation and manual proofreading on unstructured text and built the data layer of KG4DT.Taking the flood control,sedimentation reduction,water supply and power generation businesses of the Xiaolangdi and Wanjiazhai key water control projects on the Yellow River as the main line,it combined the technologies such as AC automaton to design knowledge re-trieval and automatic generation of contingency plans,which could provide intelligent decision-making support for engineering operations.
water conservancy knowledge graphdigital twinknowledge description systemapplication
国家科技期刊平台
NSTL
万方数据
