Analysis And Application Of Data Mining Technology In City Water Supply

At present China is in social development, population growth, rapid economic growth,rising living standards, increasing water consumption water grim circumstances. In watertechnology is more advanced countries, mainly in its water sector to provide higher qualitywater-based, real-time systems through more advanced scheduling of water resources. InChina, to meet the growing demand for water in many countries functions includemanagement of water resources planning, the water demand forecast as a means of planning,and thus the contradiction between water supply and demand for regulation, if the core of itsmanagement of water supply planning If more energy is to address the increasing waterdemand and limited water resources in the conflict, many domestic and foreign scholarspredict application and calculation of water consumption forecasting, regression analysis,time series analysis, the gray model prediction, BP neural network is relatively perfect.In the current environment, promote environmental conservation, low-power low-carbonlife, to save resources as an important social issue, is to the situation of urban water supply asthe research object, the subtropical Guangdong Province, most of the subtropical monsoonclimate, long summer and winter, rainfall, is a typical medium-sized cities, the study has somepractical value.According to the relevant water supply and other parameters, production schedulingfuture production plans, through the use of a computer data mining method, the total amountof future water supply and water supply of water districts to make scientific forecasts,improve production efficiency through the reduction of energy consumption, production andmarketing plans to set reasonable, a reasonable solution to this issue of practical significance.This article is based on the data to its own characteristics, from the standpoint of dataanalysis more than forecast, the actual situation of different adjustments, the use of simpleprediction algorithms to the complexity of modern algorithms and predictive effect on thesituation is complex but has a certain law data processing and prediction of a certain referencevalue.