| abstract |
The invention discloses a support vector machine-based method for predicting the effluent compliance of rural domestic sewage treatment facilities. The method includes: simultaneously collecting and training the influent electrical conductivity, effluent electrical conductivity and effluent suspended matter concentration of the rural domestic sewage treatment facilities , and record the compliance status of the effluent of the treatment facility; taking the influent conductivity, effluent conductivity and effluent suspended solids concentration as input, and the output of the effluent compliance of rural domestic sewage treatment facilities as the output, use the support vector machine to train the training set and construct the prediction Model; collect the influent conductivity, effluent conductivity and effluent suspended solids concentration of the rural domestic sewage treatment facilities to be predicted, and input them into the prediction model to obtain the prediction results. The invention correlates the detection index influent conductivity, effluent conductivity and effluent suspended matter concentration with the effluent compliance of rural domestic sewage treatment facilities, and constructs a support vector machine model to obtain a prediction model, which not only has high prediction accuracy, but also is fast and efficient. cheap. |