A Neural Network-Based Soft Sensing Method for Total Phosphorus tp in Sewage Treatment Process

Abstract

The invention provides a method for soft measurement of the effluent total phosphorus (TP) in the sewage disposal process based on the neural network, and belongs to the field of sewage disposal field. The mechanism is complex in the sewage disposal process, and to enable a sewage disposal system to be in a good running working condition and to obtain the higher effluent quality, the procedure parameters and the water quality parameters in the sewage disposal system need to be detected. The invention provides a soft measurement model established based on the self-organization radial-based neural network to solve the problem that the effluent total phosphorus of a current sewage disposal plant cannot be obtained in real time. The initial structure and the initial parameters of the neural network are determined according to the self-organization method, the structure of the neural network is simplified, and real-time soft measurement is carried out on the effluent TP. According to the soft measurement result, the related control link in the sewage disposal process and materials in the biochemical reaction are adjusted, the quality of the effluent obtained after sewage disposal is improved, and a theoretical support and a technological guarantee are provided for safe and stable running in the sewage disposal process.

Description

Technical field [0001] The invention establishes a soft-sensing model of total phosphorus TP of the effluent of the urban sewage treatment process based on the self-organized RBF neural network. Soft measurement is one of the main development trends of detection technology and instrument research, and an important branch in the field of advanced manufacturing technology. The invention not only belongs to the field of sewage treatment, but also belongs to the field of detection technology and instrument research technology. Background technique [0002] The “Outline of the Twelfth Five-Year Plan for the National Economic and Social Development of the People’s Republic of China” points out that it is necessary to speed up the construction of urban sewage treatment and recycling facilities across the country, promote the emission reduction of major pollutants, and improve the quality of the water environment. The sewage treatment rate reaches the overall goal of 85%. In order to a...

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Problems solved by technology

[0003] The sewage treatment process is a complex biochemical reaction process. Due to the limitation of measurement technology, some important parameters in the sewage treatment process are difficult to measure accurately

At present, the measurement methods of sewage total phosphorus TP are mainly chemical measurement method and instrument detection method. The former takes a long time and lags behind the sewage treatment process, and cannot detect the water quality in time. At the same time, due to the randomness of chemical experiments, it is difficult to ensure the accuracy of detection. On the other hand, the detection instrument is expensive and difficult to use and maintain, and the precision of the detection instrument will also have a certain impact on the real-time detection of water total phosphorus TP, which shows the limitations of the current effluent total phosphorus TP detection

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