CAJ | 학술논문

针对城市生活污水A2O工艺处理过程中出水水质的软测量建模，本文提出一种机理模型与补偿模型相结合的软测量预测模型。首先根据污水处理厂基本参数建立ASM2机理模型，并采用PSO算法调节模型动力学参数；然后在此基础上，利用SVM建立出水水质软测量补偿模型。最后，将该软测量模型应用与某一实际污水处理厂进行模拟运行，并对预测结果进行误差分析。仿真结果表明，该模型可获得较准确的预测结果，较好地反映污水处理的实际运行状况，为模拟污水处理、预测出水水质提供决策支持。
침대성시생활오수A2O공예처리과정중출수수질적연측량건모，본문제출일충궤리모형여보상모형상결합적연측량예측모형。수선근거오수처리엄기본삼수건립ASM2궤리모형，병채용PSO산법조절모형동역학삼수；연후재차기출상，이용SVM건립출수수질연측량보상모형。최후，장해연측량모형응용여모일실제오수처리엄진행모의운행，병대예측결과진행오차분석。방진결과표명，해모형가획득교준학적예측결과，교호지반영오수처리적실제운행상황，위모의오수처리、예측출수수질제공결책지지。
In order to modeling the soft sensor model of effluent quality for the A2O municipal sewage treatment process, a soft sensor predictive model combining a mechanism model with a compensation model is proposed in this paper. Firstly, according to the basic parameters of sewage treatment plant to build the ASM2 mechanism model, as well as PSO algorithm is used to adjust the kinetic parameters of the ASM2 model. Then, on this basis, SVM regression is used to compensate the prediction error of mechanism model. Finally, the soft sensor model is applied with an actual sewage treatment plant to imitation operation, and analysis the error of prediction result. The simulation results show that the model can obtain accuracy prediction results and reflect the operation of sewage treatment efficiently, so that providing decision support for simulation and effluent quality prediction of sewage treatment.