Optimization of flow calculation methods based on logistic regression model
When calculating the relationship between water level and discharge,different flow conditions often apply different calculation methods.In order to realize the intelligent selection of flow calculation method according to the flow,taking Jikou Hydrology Station of Xin'anjiang Reservoir area as research object,the optimization of flow calcu-lation method based on logistic regression model was proposed.Firstly,the two-vertical energy slope method and the fall exponent method were used for the flow calculations.Secondly,the logistic regression model based on big da-ta analysis was used to optimal selection the push flow calculations based on real-time water flow conditions,and self-learning based on the calibration results can continuously optimize the parameters to improve the accuracy of selection.The results indicated that the accurate determination of the return flow situation in the reservoir area had a significant impact on the accuracy of the flow calculations.The model can determine whether the current water flow had returned based on the real-time upstream and downstream water level differences,representative line flow rates,and other water flow conditions,thus conducting intelligent optimization.The streaming results were reasonable and had a higher accuracy than using a single algorithm for streaming.
NETL
NSTL
万方数据
维普
