Three-dimensional ocean element field intelligent construction method and system based on machine learning

Abstract

The invention provides a three-dimensional ocean element field intelligent construction method based on machine learning, and the method comprises the steps: obtaining training data which comprises one-dimensional field observation data, two-dimensional sea surface observation data and three-dimensional gridding background field data; processing the training data, and outputting the processed training data as training sample features; training a machine learning model, and training the machine learning model by using the training sample features to obtain a prediction model; and constructing athree-dimensional ocean element field, and loading the sea surface element information, the space grid information, the prediction time information and the selectable background field element information to the prediction model in real time to construct the three-dimensional ocean element field. According to the method, the defect that a three-dimensional ocean element field construction method in the prior art cannot meet the requirements for refinement and accuracy can be overcome, multi-source and multi-dimensional data are organically fused, intelligent reconstruction of the ocean three-dimensional element field is achieved through the machine learning technology, and the requirements for refined and accurate ocean research and production are met.

Description

technical field [0001] The invention relates to the fields of data processing technology and machine learning technology, in particular to a method and system for intelligently constructing a three-dimensional ocean element field based on machine learning. Background technique [0002] Accurate and reliable ocean observation data is an important prerequisite and necessary condition for marine scientific research, global change research, and efficient offshore production operations. To further reveal and predict climate change and the evolution of the marine environment, it is necessary to obtain high-temporal-spatial resolution, high-precision, and highly reliable marine environmental data, and to carry out scientific research and numerical simulation on this basis. consensus. However, the current observational data has been difficult to meet the realistic demand for wide-area, high-precision, and temporal-spatial continuity of ocean data. Therefore, the construction of hi...

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Problems solved by technology

[0004] The invention provides a method and system for intelligently constructing a three-dimensional ocean element field based on machine learning to solve the defect that the construction method of a three-dimensional ocean element field in the prior art cannot meet the requirements of refinement and precision

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