Taking the water diversion pipeline,hydraulic turbine and hydropower generator as a whole hydropower generation system,the input and output model of the hydropower system is established with the method of the artificial neural network on the basis of the in-situ monitoring data.The comparison analysis between the calculated and the measured data shows that the proposed artificial neural network model has higher accuracy and can be used to optimize the operation of the hydropower generation unit of hydropower station.

The virtual reality technology is used to achieve three-dimensional modeling and browsing of oil system in hydropower station.The entire oil system is divided into smaller parts for static modeling.And the virtual technology and LOD nodes are applied to dynamic integration at the different levels.Displaying with different precision is realized for scenario of oil system in browsing and assembling at the same time,which decreases the memory requirements and raises the browsing speed.Thus,it can be applied to the field of auxiliary equipment training and teaching in hydropower station.