Application of remote monitoring and automatic control system using neural network for small wastewater treatment plants in Korea.

摘要: For this study, an automatic control system has been developed by using a neural network and internet-based remote monitoring for efficient operation of plants that have serious variance influent loading difficulties in appropriate maintenance, just like small wastewater treatment Korea. In the algorithm, ORP was used as main sensor control. At point where value judged to reach “nitrate knee” denitrification phosphorus release, indicated state lower saturation read then changed operating condition from reduction oxidation state. example, if indicates higher at “nitrogen breakpoint” or “ammonia valley” nitrification, reads it cuts off oxygen supply mixing. The dORP data one input network. After lab-scale cyclic aeration process system, found regardless variance, more than 95% organic matters 60% nitrogen removed. Assuming internet-connected computer basic web browser are available, study can monitor status any troubles with them.