Light-weight in Digital Twin Virtual Entity for Water Conservancy Projects
Digital twin technology has been developing rapidly in the water industry for several years.Among it,the digital twin data base plate stores large amounts of information in the whole life cycle of water conservancy projects,and there are problems such as large data vol-ume,complicated management and increased updating cost.Meanwhile,the application layer digital twin platform with WebGL as the core engine rendering load is limited by network bandwidth and computer performance,facing the challenge of light-weight processing.Aiming at the geometric model data in the virtual entity of the digital twin,this paper uses the improved Quadric Error Metrics(QEM)and Low-Poly al-gorithm to carry out light-weight processing.The hydraulic turbine guide mechanism is selected as a case to study the optimal simplification degree to meet the needs of the digital twin business.Results show that light-weight processing is necessary and the file size is greatly re-duced after lightweight processing.The upper limits of the simplification degree of the four precision levels in meeting the digital twin fine-ness level is the original data,about 40%,about 70%,about 98%.
digital twinwater conservancy projectslight-weightQEM