Research On Reservoir Hydrological Forecasting And Dispatching System

The reservoir water regime forecasting and dispatching system is related to the safety of the people in the surrounding areas and is valued by all countries in the world.The improvement of the system is imminent,and the continuous improvement of intelligent algorithms has enabled scholars from all over the world to see new opportunities.Therefore,this paper uses improved intelligent algorithms to study the reservoir water regime forecasting and dispatching system.The traditional predictive scheduling method has many shortcomings that are difficult to solve.For example,the prediction algorithm assumes that the sample data is infinite,and the computational complexity is increasing.The scheduling method is easy to fall into the local optimization.This paper studies the reservoir water regime forecasting and dispatching system based on the improved and optimized intelligent algorithm-least squares support vector machine algorithm and improved particle swarm optimization algorithm.The design and implementation of system software are carried out from several aspects of algorithm modeling,system design and system implementation.The system stores the data in the relational database Mysql.After persisting the storage object via the Hibernate layer,In the Spring business logic layer,the water regime prediction based on least squares support vector algorithm and the function of reservoir scheduling based on improved particle swarm optimization algorithm are implemented.Finally,the data processing results are displayed through the StrLuts 2 presentation layer for graphical interface results.The forecasting and dispatching system is divided into an information management module,a forecasting schedLuling module and a system setting module.The information management module realizes the basic general information of the reservoir,the reservoir characteristic data information and the management of the working condition information;the forecasting and...