DEVELOPMENT OF MACHINE LEARNING MODELS FOR PREDICTION OF QUALITY OF TREATED WATER IN SEWAGE TREATMENT PLANT

Abstract

The proposed research is being conducted to determine the possibility of reusing water from a sewage treatment plants for use in certain domestic firm’s different industrial applications. In this study, the water quality after the treatment of sewage in sewage treatment plants has been classify using different machines learning models like Support Vector Machine(SVM), Artificial Neural Network (ANN) and K-Nearest Neighbour (K-NN). Firstly, the data base of the sewage treatment plants at different stages have been collected at different stages. Secondly, a feature extraction and selection process has been implemented for the further process using Principal Component Analysis (PCA). Finally, different machine learning model are trained for the classification of the treated water. The proposed methodology is the perfect solution to make an automatic classification of treated water which can be father used for different industrial purpose.