Seawater quality three-dimensional space-time sequence multi-parameter accurate prediction method and system

Abstract

The invention discloses a seawater quality three-dimensional space-time sequence multi-parameter accurate prediction method and system, and the method comprises the steps: obtaining key parameters of seawater quality, and processing the key parameters to obtain target key parameters; obtaining spatio-temporal feature information among the target key parameters based on spatial attention; obtaining predicted future data sequence information based on time attention and the spatio-temporal feature information; and predicting the future water quality multi-parameter content based on the spatial-temporal characteristic information and the predicted future data sequence information to obtain a prediction result. According to the seawater quality three-dimensional space-time sequence multi-parameter accurate prediction method, the extraction rate of seawater quality multi-parameter feature information of a time sequence and a space sequence can be improved; the non-stationarity of seawater quality multi-parameter data is reduced; and the prediction precision of the water quality time sequence and three-dimensional space multiple parameters is improved.

Description

technical field [0001] The invention belongs to the field of sea area water quality parameter prediction, and in particular relates to a method and system for accurate prediction of sea water water quality three-dimensional space-time sequence multi-parameters. Background technique [0002] With the development of the marine information age, we can use data to summarize natural and social laws, predict future trends, and make full use of big data to help humans respond to climate change, protect the ecological environment, and prevent natural disasters. However, multi-parameter accurate prediction of water quality spatiotemporal series has always been a problem that plagues researchers. In response to this problem, scholars have used machine learning technology to predict key parameters of aquaculture water quality, which has aroused widespread interest in academia and industry. [0003] With the rise of machine learning, machine learning algorithms have become more and more...

AI Technical Summary

Problems solved by technology

[0012] To sum up, first, in the field of seawater, scholars have not yet considered multi-parameter prediction of seawater quality in long-term and short-term sequences and three-dimensional space sequences

Second, the existing methods have not considered the correlation between the fusion of data processing algorithms, spatio-temporal attention, CNN and GED methods to extract seawater quality multi-parameter features in seawater prediction

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