Soft measurement method for SVI (sludge volume index)

Abstract

A soft measurement method for an SVI (sludge volume index) belongs to the field of water treatment. Production conditions of sewage treatment process are severe, random disturbance of the sewage treatment process is serious, and the sewage treatment process is high in nonlinearity, large in time varying and serious in lagging. Almost all municipal sewage treatment plants and most industrial sewage treatment plants in China have sludge bulking to varying degrees every year, sludge bulking is mainly characterized by deterioration of sludge settleability, and the SVI is a parameter indicating the sludge settleability, but the key index is difficult to be measured on line. The soft measurement method based on a self-organizing RBF (radial basis function) neural network aims at solving the problem that the SVI cannot be measured on line in the sewage treatment process, the self-organizing RBF neural network is used for measuring the SVI on line in the sewage treatment process, normal operation of sewage treatment is ensured, cost is reduced, timely monitoring parameters are provided for realizing closed-loop control in the sewage treatment process, and the sewage treatment plants are promoted to run efficiently and stably.

Description

technical field [0001] The present invention utilizes the self-organized RBF neural network to realize the soft measurement of the sludge settling volume index SVI in the process of sewage treatment, and the concentration of SVI directly determines the information of sludge settling in the process of sewage treatment, which has an important influence on the normal operation of sewage treatment; The soft sensing method is applied to the sewage treatment system, which can not only save investment and operating costs, but also monitor the relevant parameters of sewage treatment in time, and promote the efficient and stable operation of sewage treatment plants; as an important part of sewage treatment, SVI's soft sensing is an important part of advanced manufacturing technology. It belongs to both the field of water treatment and the field of control. Background technique [0002] The issue of water resources has become the primary concern of governments around the world. The Un...

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Problems solved by technology

[0006] The present invention obtains a soft measurement method of the sludge sedimentation volume index SVI in the sewage treatment process of a self-organized RBF neural network; the method selects a group of many measurable variables that are closely related to the SVI by analyzing the sewage treatment process and Variables that are easy to measure are used as auxiliary variables, and the online measurement of SVI is realized by constructing a self-organizing RBF neural network, which solves the problem that the current SVI cannot be accurately obtained in real time;

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