The Application Of Data Mining In Sewage Treatment System

Since the twenty-first Century,the increase of population has led to the shortage of water resources,and the per capita disposable amount of water resources has contracted sharply.In China,with the promotion of urbanization,the use of water resources by residents increases sharply,and has seriously exacerbated the pressure of water resources utilization,so the status of sewage treatment has begun to highlight.But in the process of sewage treatment,there are a lot of problems like the overdose of medicament in the process of treatment,and the results can't be predicted and so on,through the sewage treatment to the existing data,analysis and data mining,to extract information,to help the city sewage treatment to simple,high efficiency and low energy consumption,in order to reduce the unnecessary loss of purpose.Essay study demand background is providing auxiliary data on sewage treatment process.The first is a brief introduction to the current data mining technology,showing the advantages and disadvantages.Then describing the biological wastewater treatment,mainly introducing the data mining in the auxiliary effect of biological wastewater treatment process which helps predict drug after sewage treatment and sewage water content after sewage treatment,and then according to the existing situation analysis of existing mainstream sewage treatment technology,select the effective data mining model.Using Python as a programming language on Implementation.And because the data source is Excel,study uses My SQL as a data storage and executes Python scripts regularly to import data into database as continuous learning data sources.Using Python's numpy and sklearn third-party library as data fitting and regression tools to extract data model.The system can input data to forecast content as an assistant,mainly the addition of chemical dosage.At the same time,in order to monitor the data fitting situation,it can provide the experimental data and fitting curve and be graphicalCompared with the actual results,the experimental results show that the deviation is obvious.There are a lot of problems like data collection is not precise,data is not processed more meticulous and so on.There are also some problems in the system design.But from the experimental point of view,the application of data mining technology in the sewage treatment is feasible.After solving the existing problems,combined with actual production,data mining can be applied to the production of sewage treatment,optimizing the process and assist the treatment of sewage.