Research of sludge compost maturity degree modeling method based on wavelet neural network for sewage treatment

Because of the complicated interaction of the sludge compost components, it makes the compost maturity degree judging system appear the non linearity and uncertainty. According to the physical circumstances of sludge compost, a compost maturity degree modeling method based on wavelet neural network is presented. We select the index of compost maturity degree and take high temperature duration, moisture content, volatile solids, the value of fecal bacteria, germination index as the judgment parameters. We adopt a method of reduce the number of the wavelet basic function by analysis the sparse property of sample data, and use the learning algorithm based on gradient descent to A train network. With the ability of strong function approach and fast convergence of wavelet network, the modeling method can truly judge the sludge compost maturity degree by learning the index information of compost maturity degree. The experimental results show that this method is feasible and effective.