A detection device and method for effluent total phosphorus based on rbf neural network

Abstract

The invention relates to an effluent total phosphorus detecting device based on an RBF neural network and a detecting method thereof. The device includes a control system in communication connection with a sewage treating tank through CAN or LIN field bus. The control system comprises a user information registration management module, a data real-time collection module, a memory module, a data processing module, an on-line learning and detecting module and an industrial control computer. According to total phosphorus correlation variable results, the data processing module performs soft-measuring model adjustment and analogue simulation calculation and correction by utilizing an off-line training module and a simulation module of a soft-measuring model to form a corrected effluent total phosphorus soft-measuring model. The industrial control computer performs on-line detection on effluent total phosphorus through calling the corrected effluent total phosphorus soft-measuring model, and displays detection values of correlation variables and the effluent total phosphorus in a curve manner in real time and dynamically. The device and the method have advantages of a reasonable design, simple and convenient operation, high visualization, reliable and stable performance, capability of wide popularization and application, and the like.

Description

technical field [0001] The invention relates to the technical field of detection of water quality parameters of urban sewage treatment, in particular to an RBF neural network-based detection device and detection method for effluent total phosphorus. Background technique [0002] The rapid urbanization and industrialization in the last century have caused serious environmental pollution and resource shortages. Among them, fresh water resources have become one of the focuses of global environmental and resource concerns. Based on my country's national conditions, the huge population base and the rapid industrialization development have an increasing demand for fresh water resources. The resulting pollution of fresh water resources and ecological environment has also become more serious, gradually threatening social life and the long-term development of the country. With the country's emphasis on environmental and resource management issues, sewage treatment has become the mai...

AI Technical Summary

Problems solved by technology

Although chemical methods can guarantee high detection accuracy, the operation is cumbersome and time-consuming (hours), unable to meet the increasing real-time requirements, and easily cause secondary pollution

The on-line instruments that have gradually emerged in recent years can realize the automatic collection and detection of water samples, which saves time (15-30 minutes) and avoids the accidental errors that may be caused by manual operations. However, it still uses chemical mechanisms for measurement, and purchase and Maintenance costs are very high, and most large and medium-sized water plants cannot afford to configure online instruments of sufficient scale

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