The Study of Compost Quality Evaluation Modeling Method Based on Classify Support Vector Machine for Sewage Treatment

Because of the complicated interaction of the sludge compost components, it makes the compost quality evaluation system appear the characters of non-linearity, randomness and uncertainty. According to the physical circumstances of sludge compost, a compost quality evaluation modeling method based on support vector machine (SVM) is presented. We select the index of sludge compost quality and take the high temperature duration, degrdn rate, nitrogen content, average oxygen concentration and maturity degree as the evaluation parameters. We construct the structure of SVM network that used for the quality evaluation of sludge compost and use the genetic algorithm (GA) to optimize SVM parameters. With the ability of strong self-learning and well generalization of SVM, the modeling method can truly evaluate the sludge compost quality by learning the index information of sludge compost quality. The experimental results show that this method is feasible and effective.