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| Application Simulation Research of Adaptive Particle Swarm Optimization in Intelligent Control Optimization of Wastewater Treatment Process |
| Received:April 19, 2021 |
| DOI：10.11980/j.issn.0254-508X.2021.08.012 |
| Key Words:wastewater treatment process particle swarm optimization intelligent control strategy BSM1 |
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| Abstract:Based on the international benchmark simulation model of wastewater treatment simulation platform， the adaptive particle swarm optimization （APSO） was used to carry out the intelligent control optimization simulation experiment research of wastewater treatment process （WWTP） in this paper. Firstly， the structure and principle of the international benchmark simulation model BSM1 were introduced in detail. Based on the simulation conditions of BSM1， with the goal of effluent water quality reaching the standard and the minimum energy consumption， the optimization objective function of WWTP was constructed. Then， based on the time-varying parameter strategy， APSO was constructed to optimize the control parameters in WWTP. Finally， based on BSM1 wastewater treatment simulation process， the control optimization effect of APSO was verified and analyzed. Relevant experimental research and results showed that the intelligent control optimization strategy based on APSO could effectively reduce energy consumption under the premise of ensuring that the water quality met the standard， and had certain engineering guiding significance for the control optimization of the actual WWTP. |
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