Method to predict the effluent ammonia-nitrogen concentration based on a recurrent self-organizing neural network
US9633307B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 25, 2015 |
| Grant date | Apr 25, 2017 |
| Priority date | — |
| Expiry date | Jun 8, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N33/188
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
An intelligent method is designed for predicting the effluent ammonia-nitrogen concentration in the urban wastewater treatment process (WWTP). The technology of this invention is part of advanced manufacturing technology, belongs to both the field of control engineering and environment engineering. In order to improve the predicting efficiency, a recurrent self-organizing neural network, which can adjust the structure and parameters concurrently to train the parameters, is developed to design this intelligent method. This intelligent method can predict the effluent ammonia-nitrogen concentration with acceptable accuracy and solve the problem that the effluent ammonia-nitrogen concentration is difficult to be measured online. Moreover, the online information of effluent ammonia-nitrogen concentration, predicted by this intelligent method, can enhance the quality monitoring level and alleviate the current situation of wastewater to strengthen the whole management of WWTP.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.