PSO-based recursive RBF neural network effluent BOD prediction method

Abstract

The invention discloses a PSO-based recursion RBF neural network effluent BOD prediction method, which is an important branch in the advanced manufacturing technology field of realizing BOD concentration online prediction, and belongs to the control field and the water treatment field. According to the invention, PSO-is designed; The RRBF neural network realizes real-time measurement of the BOD concentration according to the data collected in the sewage treatment process, solves the problem that the BOD concentration of the effluent in the sewage treatment process is difficult to measure in real time, and improves the real-time monitoring level of the water quality of an urban sewage treatment plant.

Description

Technical field: [0001] The invention relates to a PSO-based recursive RBF neural network (PSO-RRBF) effluent BOD prediction method. Realizing the online prediction of BOD concentration is an important branch in the field of advanced manufacturing technology, which belongs to both the field of control and the field of water treatment. Background technique: [0002] Biochemical oxygen demand (Biochemical Oxygen Demand, BOD) refers to the amount of dissolved oxygen in water consumed by microorganisms to decompose organic matter within a specified period of time. At present, BOD measurement methods include dilution and inoculation method, rapid determination method of microbial sensor, etc. The BOD analysis and determination period is 5 days, which is a long period and cannot reflect the concentration change of BOD in sewage in real time. At the same time, microbial sensors have disadvantages such as high cost, short life, and poor stability, which reduces the universality of ...

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Problems solved by technology

[0004] The present invention obtains a BOD prediction method of effluent based on PSO-RRBF neural network. By designing the PSO-RRBF neural network, the real-time measurement of BOD concentration is realized according to the data collected in the sewage treatment process, which solves the difficulty of BOD concentration in the effluent of the sewage treatment process. The problem of real-time measurement has improved the real-time monitoring level of water quality in urban sewage treatment plants;

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