Method for predicting the total amount of suspended solids in wastewater based on data mining

A technology of suspended solids and data mining, applied in chemical data mining, neural learning methods, biological neural network models, etc., can solve the problems of low TSS prediction accuracy, achieve uniqueness and adaptability, improve robustness, and network The effect of strong generalization ability

Pending Publication Date: 2020-10-30
QINGDAO HONGJIN E COMMERCE CO LTD
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[0003] The purpose of the present invention is to provide a method for predicting the total amount of suspended...

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  • Method for predicting the total amount of suspended solids in wastewater based on data mining
  • Method for predicting the total amount of suspended solids in wastewater based on data mining
  • Method for predicting the total amount of suspended solids in wastewater based on data mining

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[0031] In order to make the object, technical solution and advantages of the present invention clearer, the invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0032] MLP (Multilayer Perceptron) neural network, also known as multilayer perceptron neural network, is an artificial neural network applied to pattern recognition and classification prediction evaluation. A general neural network structure may be composed of multiple layers, but the present invention only needs to adopt a neural network with a three-layer topological structure composed of an input layer, a hidden layer and an output layer to realize accurate TSS prediction.

[0033] The learning process of the MLP neural network is to continuously train the model from external input training samples, an...

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Abstract

The invention discloses a method for predicting the total amount of suspended solids in wastewater based on data mining, and relates to the field of water pollutant prediction. The method comprises the following steps: S1, acquiring water quality parameters in a water inlet stage, wherein the water quality parameters comprise water inlet flow, carbonaceous biochemical oxygen demand (CBOD) and total suspended solids (TSS); S2, preprocessing the obtained water quality parameters; S3, carrying out PCA data dimension reduction on the pretreated water inlet flow and carbonaceous biochemical oxygendemand (CBOD); S4, inputting the data subjected to dimension reduction selection into an MLP neural network model, and establishing a time sequence model of the total suspended solids TSS in the waterinlet stage; and S5, inputting past seven-day recorded values of the total suspended solids TSS into the MLP neural network model, establishing a time sequence prediction model of the TSS, wherein the performance of the prediction model can be evaluated through a mean absolute error MAE and a mean relative error MRE. According to the method, the total amount of suspended solids is predicted by applying a data mining algorithm, and the prediction precision is further improved through iterative construction of an MLP algorithm model.

Description

technical field [0001] The invention relates to the field of prediction of water body pollutants, in particular to a method for predicting the total amount of suspended solids in wastewater based on data mining. Background technique [0002] Total Suspended Solids (TSS) is considered to be one of the major pollutants leading to water quality deterioration, excessive TSS will deplete dissolved oxygen (DO) in water, lead to higher water treatment costs, reduce fish stocks, and affect the overall aesthetics of water . The prediction of suspended solids is of great significance to the control of wastewater quality, and a high-precision prediction method has extremely high guiding significance for the control of wastewater quality and sewage treatment. Contents of the invention [0003] The purpose of the present invention is to provide a method for predicting the total amount of suspended solids in wastewater based on data mining, so as to solve the problem of low prediction ...

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Application Information

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IPC IPC(8): G16C20/70G06N3/08G06N3/04
CPCG16C20/70G06N3/084G06N3/045
Inventor 于忠清徐超
Owner QINGDAO HONGJIN E COMMERCE CO LTD
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