Water quality concentration calculation system and method based on neural network and full spectrum absorbance

Abstract

The invention discloses a water quality concentration calculation system and method based on a neural network and full-spectrum absorbance, and the system comprises a sample collection module, a data preprocessing module, an algorithm training module, and an information analysis module. Spectral data closest to water pollutants are obtained through denoising and scattering correction, deep mining training is performed on the spectral data and a measured water quality result by using a neural network algorithm, and a weight mapping relation among the spectral data, the measured water quality result and the hidden layer after fusion is established; the trained weight mapping relation is applied to the analysis of the full-spectrum absorbance data of the water body to be detected, so that more stable and accurate water quality result information analysis is obtained, and the result accuracy is effectively improved.

Description

technical field [0001] The present disclosure relates to the technical field of water quality monitoring, in particular to a water quality concentration calculation system and method based on neural network and full-spectrum absorbance. Background technique [0002] With the increasing water pollution, the country pays more and more attention to the supervision and governance of environmental protection. The water quality monitoring industry has become one of the key development projects in the field of environmental protection in my country. This requires more and more water quality indicators to be tested, and the water quality analyzer higher performance requirements. The traditional chemical method has slow analysis speed, complicated operation, poor stability and high maintenance cost, especially the dependence on additional drugs causes secondary pollution; the full-spectrum water quality analyzer has high efficiency, fast analysis speed, and many detection parameters w...

AI Technical Summary

Problems solved by technology

The traditional chemical method has slow analysis speed, complicated operation, poor stability and high maintenance cost, especially the dependence on additional drugs causes secondary pollution; the full-spectrum water quality analyzer has high efficiency, fast analysis speed, and many detection parameters without chemicals , to avoid secondary pollution

However, since the correlation between the water quality concentration and the absorbance data of a single band is unstable and non-linear, the monitoring results may be affected by the complex environment of the scene where the monitored water samples are located, resulting in greater uncertainty in the accuracy of the monitoring results.

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