Research on construction of water conservancy knowledge platform in digital twin Feiyun River Basin
In order to improve the intelligent risk management and control level of Feiyun River Basin,according to the requirement of knowledge platform construction in digital twin basin,applying knowledge graph as the technical framework,machine deep learning technology is introduced,and river basin forecasting and scheduling business rules,historical typical scene flood patterns,and expert forecasting experience are integrated.Through visualization of the graph model,knowledge is stored as graphic data.Therefore,basin business rule database,historical scene database,expert experience database,and knowledge graph database are established.The graph computing engine is applied for knowledge management and driving,and the water conservancy knowledge such as river basin characteristics,water conservancy object association relationships,and business rules is excavated and refined,classified and combined,intelligently managed and integrated applied.Hence,the digital twin basin knowledge platform based on water conservancy knowledge graph is constructed.The digital twin Feiyun River Basin water conservancy knowledge platform can support river basin flood control"four pre"business,with the characteristics of intelligence in matching,recommendation,and panoramic deduction.It can improve the digitalization,intelligence,and precision of the whole process of river basin risk and scheduling decision-making,serving as a reference for the construction of other water conservancy knowledge platforms.
digital twinwater conservancy knowledge platformknowledge mapknowledge databaseknowledge engineFeiyun River Basin
万方数据
维普
