Patent Document ID: 20140052422
Application ID: 13985482
Patent Flag: 0

Claim One:
1. A method of wastewater treatment based on dissolved oxygen control by fuzzy neural network comprising: (1) Measuring an inflow flowrate, an ORP value in an anaerobic tank corresponding to the real-time aeration quantity, a DO value in an aerobic tank corresponding to the real-time aeration quantity, an influent COD value, and an actual effluent COD value in the A/O wastewater treatment process; (2) Collecting the measured sampling data, sending them via a computer to a COD fuzzy neural network predictive model, and computing as physical quantities, so as to establish an effluent COD predicted value; (3) Comparing the effluent water COD predicted value with the effluent COD set value, an error and an error change rate of the effluent COD value are obtained. And the error and the error change rate of the effluent COD value are used as two input variables of the DO fuzzy neural network control model, so a correction amount of aeration quantity and correct the real-time aeration quantity is obtained. Then air blower is controlled to realize adjusting a suitable dissolved oxygen concentration by the control system according to the corrected real-time aeration quantity. In addition, the corrected aeration quantity is also used as an input of the COD fuzzy neural predictive model, and the COD predicted value of the next period is obtain by the predictive model according the corrected aeration quantity. 4) Repeating the same step into the next cycle. Accordingly, the on-line prediction and real-time control of dissolved oxygen in the wastewater treatment process are achieved.