Intelligent biochemical oxygen demand (BOD) detection method based on self-organizing recursion radial basis function (RBF) neural network

Abstract

The invention relates to an intelligent biochemical oxygen demand (BOD) detection method based on a self-organizing recursion radial basis function (RBF) neural network, and belongs to the control field and the water treatment field. A sewage treatment process is hostile in production conditions and serious in random disturbance and has the disadvantages of strong nonlinearity, large time varying and serious lagging, and therefore it is very difficult to detect BOD in outlet water quality. For the problem that the key water quality parameter in the sewage treatment process cannot be detected online, a BOD soft measurement model is set up based on the self-organizing recursion radial basis function (RBF) neural network, real-time detection of the BOD concentration is completed, and good accuracy is obtained. It is indicated through results that the soft measurement method can obtain the BOD concentration fast and accurately, improves quality and efficiency of sewage treatment and ensures stable and safe operation of the sewage treatment process.

Description

technical field [0001] Based on the operating characteristics of the sewage treatment process, the present invention designs a biochemical oxygen demand BOD intelligent detection method by using the self-organized recursive RBF neural network, and realizes the real-time measurement of the biochemical oxygen demand BOD in the sewage treatment process; the sewage treatment biochemical oxygen demand BOD It is an important parameter to characterize the sewage treatment effect. The relationship between biochemical oxygen demand (BOD) and process variables in the sewage treatment process is the basic link to realize the optimal control of the sewage treatment process. It has an important impact on the energy saving and consumption reduction of sewage treatment and stable and safe operation. It is an advanced An important branch of the field of manufacturing technology, both in the field of control and in the field of water treatment. Therefore, the intelligent detection of biochemic...

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Problems solved by technology

Among them, the water quality parameter BOD refers to the amount of oxygen required to decompose a unit of organic matter within a specified time. At present, sewage treatment plants mostly use the dilution inoculation method and the rapid measurement method of microbial sensors to measure the BOD of different types of water. The BOD analysis and measurement cycle is generally 5 days, which cannot reflect the actual situation of sewage treatment in time, and cannot realize real-time measurement of BOD, which directly makes it difficult to achieve closed-loop control in the sewage treatment process

In addition, the number and content of pollutants in sewage are large and varied, which is a big challenge for detection

Although the development of process measuring instruments in the form of new hardware can directly solve the detection problems of various sewage treatment process variables and water quality parameters, due to the complexity of organic matter in sewage, the development of these sensors will be a costly and long-term project.

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