COD Prediction Model for Wastewater Treatment Based on Particle Swarm Algorithm

Abstract

To cope with the current water pollution prevention and control, if a stable, fast and real-time COD measurement method is developed using spectral technology, it will facilitate the pace of wastewater treatment in China and have a significant impact on water pollution control. The objective of this paper is to study the analysis and application of COD prediction models for wastewater treatment based on particle swarm algorithms. The background and significance of wastewater treatment research is briefly introduced, while the current status of research on wastewater treatment technology at home and abroad is reviewed. The common modelling methods for molecular absorption spectroscopy and water quality COD prediction are summarised, and a COD prediction model based on the improved particle swarm algorithm is established and compared with the main SVM algorithm. The experimental results show that the LSSVM-APSO model in this paper has good prediction effect.