Activated sludge morphology and sludge volume index SVI soft measurement method

Abstract

The invention discloses an activated sludge morphology and sludge volume index (SVI) soft measurement method, and relates to an intelligent sewage detection method, which comprises four steps of activated sludge microscopic image feature extraction, integrated feature selection, SVI soft measurement model establishment and SVI prediction, wherein the activated sludge microscopic image feature extraction is used for extracting morphological characteristics of activated sludge microscopic image flocs and filamentous bacteria in a biochemical pool; integrated feature selection adopts six feature selection methods including a Pearson correlation coefficient method, a maximum mutual information coefficient, a Lasso regression model, an average impure degree reduction method, a stability selection method and a recursive feature elimination method; in the SVI soft measurement model establishment, a fast random configuration neural network FastSCN method is adopted to establish an SVI model; and in SVI prediction, morphological characteristics of a new sample are extracted and selected. According to the method, the microbial morphological characteristics of the activated sludge can be effectively extracted, the SVI indexes of the sludge settling performance are reliably and stably forecast, and effluent quality and operation parameter dynamic change information are provided for sewage treatment operation and optimization.

Description

technical field [0001] The invention relates to an intelligent detection method for sewage, in particular to a soft measurement method for activated sludge morphology and sludge volume index SVI. It is a kind of activated sludge morphological feature selection and sludge volume index (Sludge Volume Index, SVI) soft measurement method. Background technique [0002] Most urban sewage treatment plants use the activated sludge method, relying on the metabolic activities of microbial groups to degrade organic pollutants in sewage, which has the advantages of high treatment efficiency and low operating costs. The success of the activated sludge system depends on the ecological balance between microbial flocs and filamentous bacteria. Once the balance is disrupted, it is easy to cause sludge bulking and seriously affect the operation of sewage treatment plants. Sludge settling performance is the key to activated sludge process. The sludge volume index (SVI) is the main index to c...

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Problems solved by technology

[0003] Conventional SVI indicators rely on off-line laboratory analysis, which has problems such as time-consuming, laborious, and low frequency of testing

Due to the complexity of sewage water quality components, uncontrollable influent fluctuations, many dynamic parameters, and strong nonlinearity, it is generally difficult to establish an accurate mechanism model.

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