Design And Implementation Of Campus Water Demand Prediction System Based On Influencing Factors Analysis

With the growth of economy and the improvement of people's living standard,the demand for domestic water is increasing year by year.Water shortage has become the bottleneck of human development,so it is imperative to make rational use of water resources.To solve the problem of water use,water supply,water use and water saving should be planned to guide the construction of the city's long term water supply network.The above work is based on the prediction of urban water demand.Therefore,the prediction of urban water demand is an important part of the dispatching and management of the water supply system,and it is also an effective means for water resources management and planning.When predicting cities,communities,and campuses,it is necessary to analyze the laws of water use and consider the impact of various factors on water use.With the continuous development of the world's water supply,the demand for water demand forecasting has also become higher and higher,and the accuracy of forecasting has become more accurate.At the same time,it is possible to make adjustments according to local conditions and specific conditions.Water demand forecasting has complex environmental factors,and different regional impact factors are different.The selection of impact factors directly determines whether the water demand forecast result is accurate or not.In view of this,this article focuses on the specific water use of the campus and conducts detailed water analysis in different dimensions from years,months,days,and hours.By analyzing the changes and laws of campus water consumption,the paper proposes the consideration of holidays,rainfall,and seasons.The water demand prediction model combining the four factors of high temperature weather with BP Neural Network and Time Series prediction.Taking campus water use as an example,we combine an actual environment to establish an optimization model for forecasting.The results show that the prediction method based on the influencing factors proposed in this paper can effectively predict the campus water demand,and the prediction accuracy is significantly improved compared with the single prediction model.In the prediction of water demand of campus basic research methods,this paper chooses HTML and SQLSevrer as the development platform,the development of a campus water demand forecasting system,showing from three modules namely good function,prediction of water demand,provides a simple and efficient software development ideas for water demand forecasting system.The system model is simple and easy to understand and is well-done.At the same time,it provides a good reference value for the development of other water supply systems or the software development of optimal scheduling.