Sewage treatment process control method based on improved particle swarm algorithm

Zhiwei Liu; Yan Yang

doi:10.1117/12.2642722

28 July 2022 Sewage treatment process control method based on improved particle swarm algorithm

Zhiwei Liu, Yan Yang

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123030Q (2022) https://doi.org/10.1117/12.2642722
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

The energy consumption of sewage treatment(ST) process is relatively large. Reasonable process design can reduce energy consumption in an appropriate amount. Reasonable control technology can make up for the deficiency of process design or reduce the difficulty of process realization. Reasonable control can also reduce energy consumption and improve water quality. In this paper, an ACS for ST process is designed, and an improved particle swarm optimization(PSO) algorithm is introduced into the system, so that the system can predict key variables such as BOD and COD that affect the treatment process during sewage treatment, and compare the improved algorithms such as HPSO and SPSO with Predictive performance of the underlying particle swarm algorithm. In order to test the sewage control effect of the system designed in this paper, five key indicators that can reflect water quality are measured, and the measured values are compared with the national standard limit value. It is found that after using the system for sewage treatment, the discharged pollutants are all In line with national standards.

Citation Download Citation

Zhiwei Liu and Yan Yang "Sewage treatment process control method based on improved particle swarm algorithm", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123030Q (28 July 2022); https://doi.org/10.1117/12.2642722

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