Research On Intelligent Evaluation Software Of Major Water Pollution Sources Based On Big Data Of Environmental Protection

In recent years,more than 700 rivers in China have been surveyed by the state environmental protection department.The relevant departments of water resources management have made a comprehensive summary of the huge water resources.The survey shows that almost half of the rivers are polluted by various kinds of pollution,and one tenth of them are quite severe.In addition,most cities are polluted more seriously by various factors.Although the environmental problems facing our country seem to be improving in some respects,the general trend is still deteriorating.In order to solve these difficulties,this paper,based on the collection of environmental protection data,takes the Dongcheng Sewage Treatment Plant of Daqing as the research object by means of computer technology,summarizes a series of pollution factors existing in the water environment,classifies the related pollutants in detail,so as to clarify the changes of water resources,and to facilitate the planning to provide decision-making basis for water pollution treatment and treatment.Firstly,after investigating the research status of major water pollution sources at home and abroad,it is found that fuzzy comprehensive evaluation method,Bayesian network,artificial neural network,root mean square error and cluster analysis method are commonly used for several major water pollution sources evaluation methods.Through the comparison of the above methods and the analysis of the corresponding evaluation model,this paper chooses the grey cluster analysis method of cluster analysis to analyze and evaluate the water quality of major water pollution sources.In dealing with the water resources that have been seriously polluted,the evaluation index system of how to treat seriously polluted water resources should be formulated from the natural and man-made point of view,combined with the treatment of policies and economic conditions.By dealing with PH value,dimensionless processing of data,calculating clustering weight and whitening coefficient,the clustering coefficient of each index is finally obtained,and the water quality of major water pollution sources is evaluated by the size of clustering coefficient.Secondly,through the study of the prediction model,the grey system different from black system and white system is selected,and the grey prediction GM(1,1)method is used to establish the prediction model to forecast the pollution trend of major water pollution sources,and the prediction results are checked.The evaluation software for major water pollution sources is developed to realize the evaluation,analysis and prediction of major water pollution sources.Adding bricks to water environmental protection work.Finally,this paper uses Delphi 7 as the experimental development tool and uses Delphi language to program,completes the design of the software for evaluating major water pollution sources based on large environmental data,and realizes the evaluation and prediction of major water pollution sources.