Sparse limited non-negative matrix decomposition algorithm based ultrafiltration membrane water treatment prediction method

Sparse limited non-negative matrix decomposition algorithm based ultrafiltration membrane water treatment prediction method

  • CN 105,005,684 A
  • Filed: 06/19/2015
  • Published: 10/28/2015
  • Est. Priority Date: 06/19/2015
  • Status: Active Application
First Claim
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1. , based on the ultra filtration membrane water treatment Forecasting Methodology of sparse constrained non-negative matrix factorization algorithm, it is characterized in that, comprise the following steps:

  • (1) sparse constrained non-negative matrix factorization algorithm is utilized to set up the forecast model of ultra filtration membrane sewage disposal process;

    (2) respectively under plan steady state (SS) and unsteady state, the parameter of the forecast model utilizing GA algorithm optimization step (1) to set up;

    (3) respectively under plan steady state (SS) and unsteady state, the variation tendency of forecast model to membrane flux and membrane pollution resistance utilizing step (2) to optimize is predicted, and the basic operation parameter of analyzing film distillation is on the impact of membrane flux and membrane pollution resistance;

    (4) sensitivity analysis calculating is carried out to predicting the outcome of obtaining of step (3), determine the leading factor affecting membrane flux and membrane pollution resistance.

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