Intelligent detection method for typical organic pollutants in urban river water body

Abstract

The invention discloses an intelligent detection method for typical organic pollutants in an urban river water body. The method comprises the following steps of obtaining input independent variables and output variables for soft measurement modeling of the typical organic pollutants in the water body; obtaining the number of optimal convolution kernels for each convolutional layer of a convolutional neural network (CNN) by using an iterative optimization method; extracting main components of training sample data through a PCA (Principal Component Analysis) algorithm, and performing dimensionality reduction optimization on the CNN input data; improving the CNN independent variable input method, and transforming an image classification model into a regression prediction model; constructing aPCA-CNN model by using the principal component-convolutional neural network, and training the PCA-CNN model; and performing soft measurement on the concentrations of the typical organic pollutants inthe water body through the trained PCA-CNN model to obtain an analysis result. According to the intelligent detection method for the typical organic pollutants in the urban river water body disclosedby the invention, the PCA-CNN model is constructed, the concentrations of the typical organic pollutants in the river water body can be effectively predicted; the accuracy degree is high; the operation is simple; and an efficient method is provided for rapid monitoring and water quality assessment of the urban river water body pollution.

Description

technical field [0001] The invention relates to the field of water quality detection technology research, in particular to an intelligent detection method for typical organic pollutants in urban river water bodies. Background technique [0002] The water quality of urban rivers is related to the safety and health of the living water environment. Due to the lack of public awareness of environmental protection, the water quality of urban rivers has been deteriorating in recent years, and the number of black and odorous waters has continued to increase, posing a serious threat to the ecological environment and human health. Typical micro and trace organic compounds (such as pesticides, insecticides, etc.) carried in the tail water of urban sewage treatment system and the discharge water of surrounding industrial and agricultural activities are widely distributed in urban river water bodies, persist and are difficult to degrade. The main cause of water pollution and deterioratio...

AI Technical Summary

Problems solved by technology

Common detection instruments include gas chromatography (GC), high performance liquid chromatography (HPLC), gas chromatography-mass spectrometry (GC-MS), liquid chromatography-tandem mass spectrometry (LC-MS / MS), etc., and the detection limits of these instruments are low , high sensitivity, high accuracy, can accurately obtain the concentration of typical organic pollutants in water, but it is expensive, has high requirements for operators, and sample pretreatment and analysis are very time-consuming, making it difficult to quickly detect typical organic pollutants in water

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