Design And Development Of The Analysis And Query Subsystem Of Digital River Information System

With the development of Internet information technology,the requirements for the instant,refined and informatized hydrological data are increasing during the construction of water conservancy and hydropower.Together with the further development of science and technology,the arrival of the intelligent era and the active promotion of "Internet Plus" The objective needs of smart water conservancy construction,the emerging “River magistrate system” of water conservancy modernization have become an urgent requirement today.However,due to the immature existing conditions,the current technology still cannot meet the actual construction needs in data extraction,storage,analysis and feedback.Therefore,hydrological information has an urgent need for the design and development of digital river information systems based on informatization and intelligence.Based on the principle of digital informatization and artificial intelligence,this paper combines the digital river information system project of Liangzhou District,Wuwei City,Gansu Province,and introduces the algorithm,parameter estimation,data processing and some key technical problems of the precipitation prediction and analysis module.The actual technology and related principles used in the development of river information system frontend.Starting from the artificial neural network and B/S front-end development language,the paper introduces the algorithms,formulas and parameters required for the precipitation prediction module in the system,and the SSM(Spring+SpringMVC+MyBatis)framework and programming language required for B/S front-end development.At the same time,the basic meteorological data,data selection method and information system construction tools are introduced,and the precipitation incremental prediction method are improved and the front-end user experience are optimized.This paper takes the Liangzhou District of Wuwei City,Gansu Province as the research object,and constructs a new digital river information system.Combined with relevant hydrological and meteorological data,it is concluded that charged particles can effectively promote artificial precipitation when used at more than 95% humidity,and the design of digital river information system using B/S framework and SSM framework is demonstrated.The future design and development of comprehensive digital river systems can benefit from the development method and proposed idea of using LM neural network for artificial precipitation enhancement and precipitation prediction in this paper.