Sludge volume index distributed soft measurement method

A sludge volume index and distributed technology, applied in neural learning methods, biological neural network models, design optimization/simulation, etc., can solve problems such as model generalization performance degradation, reduce tedious and repetitive work, improve efficiency, and guarantee The effect of stable operation

Active Publication Date: 2020-05-19
SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY
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  • Application Information

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Problems solved by technology

These methods are based on a single waterline modeling, the model is only applicable to a specific modeling waterline, and as the waterline runs, the generalization performance of the model will gradually degrade

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  • Sludge volume index distributed soft measurement method
  • Sludge volume index distributed soft measurement method
  • Sludge volume index distributed soft measurement method

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Embodiment Construction

[0041] The technical problems involved in the solution of the present invention will be described below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only for better understanding of the present invention, and do not have any limiting effect. ,

[0042] From figure 1 From the flowchart of distributed ADMM-SCN modeling, it can be seen that the overall process includes the following steps;

[0043] Step 1. Select the data of 6 activated sludge waterlines with automation system in a sewage treatment plant in China, and obtain 230 days of historical data from the historical database of the sewage treatment line monitoring workstation, including variables such as influent PH, Influent NH4-N, biochemical tank influent COD, biochemical tank influent SS, biochemical tank influent flow, average aeration gas volume, average aeration oxygen volume, aeration tank MLSS, aeration tank PH parameters, and corresponding water Line labor...

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Abstract

The invention discloses a sludge volume index distributed soft measurement method, and relates to a sludge treatment measurement control method, which comprises the steps of data collection, data arrangement and cleaning, base model construction, SVI model distributed training construction and SVI model deployment operation. The data is taken from historical measurement data of each waterline monitoring workstation. The data arrangement and cleaning comprises the steps of converting the collected data into data samples taking days as units, eliminating abnormal values, filling missing values and standardizing variables. A random configuration network model is used in a base model under a distributed architecture, and an alternating direction method of multiplier (ADMM) is used in a distributed optimization algorithm, and the constructed SVI soft measurement model can be respectively deployed to each waterline workstation and is used for calculating SVI. Compared with an SVI measurementmodel trained by a single waterline, the SVI measurement model obtained by the method has the advantage that the generalization performance and robustness are enhanced.

Description

technical field [0001] The invention relates to a measurement control method for sludge treatment, in particular to a distributed soft measurement method for sludge volume index. Background technique [0002] The main body of the activated sludge biochemical sewage treatment process is activated sludge flocs and microorganisms. The coagulation and settling properties of activated sludge directly affect the quality and operational efficiency of sewage treatment. Activated sludge is affected by various factors such as water acidity and alkalinity, dissolved oxygen content, temperature, etc., and it is prone to abnormal phenomena such as sludge swelling, floating, and foaming, which will lead to a decline in sewage treatment efficiency and quality, and even cause the entire sewage treatment The process is paralyzed. [0003] Sludge volume index (SVI) is an important index to measure the coagulation and settlement performance of activated sludge. At present, the SVI index is ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/08
CPCG06N3/08Y02W10/10
Inventor 赵立杰邹世达黄明忠
Owner SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY
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