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A Fishing Situation Prediction Method and System Based on Cellular Grid Integration Mechanism and Space-Time Transformer

A forecasting method and fishing situation technology, applied in forecasting, neural learning methods, computer components, etc., can solve the problems that time and space are not fine-grained, and the guiding significance is not great, so as to enrich the sample size, improve accuracy and robustness. Stickiness, the effect of reducing the feature dimension

Active Publication Date: 2022-04-22
JIANGSU DAWN INFORMATION TECH CO LTD
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  • Application Information

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Problems solved by technology

However, these data are not fine-grained in time and space, and have little guiding significance for practical applications.

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  • A Fishing Situation Prediction Method and System Based on Cellular Grid Integration Mechanism and Space-Time Transformer
  • A Fishing Situation Prediction Method and System Based on Cellular Grid Integration Mechanism and Space-Time Transformer
  • A Fishing Situation Prediction Method and System Based on Cellular Grid Integration Mechanism and Space-Time Transformer

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[0042] In the following description, numerous specific details are given in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without one or more of these details. In other examples, some technical features known in the art are not described in order to avoid confusion with the present invention.

[0043] The applicant believes that the environment of offshore fishery resources has been seriously damaged due to the phenomenon of overfishing, making marine fishery resources precarious. In order to maintain the sustainable development and utilization of fishery resources, the reasonable prediction of future fishery resources should provide a decision-making basis for moderate fishing. . However, when the existing technology predicts the fish situation, due to the relatively small number of sensors in the ocean, the difficulty of obtaining fishing data, and ...

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Abstract

The present invention proposes a fishing situation prediction method and system based on cellular grid integration mechanism and spatio-temporal Transformer. The local-to-local prediction framework of the mechanism significantly enriches the sample size and reduces the feature dimension; at the same time, in order to better capture the spatio-temporal features, the present invention further proposes the spatio-temporal Transformer framework, which provides valuable information for spatio-temporal data mining. opinion. In the process of data prediction, the present invention, by combining data features in time and space dimensions, performs dependency analysis on the basis of marine environmental data, overcomes the deficiency of time dependence in the prior art, and makes the prediction accuracy of the model improved. improve.

Description

technical field [0001] The invention relates to a fishing situation prediction method and system based on a cellular grid integration mechanism and a space-time Transformer, in particular to the field of comprehensive data mining and analysis. Background technique [0002] Marine fishery resources play an irreplaceable role in human survival and development, and are part of the main economic activities of modern society. However, with the expansion of fishing areas and high-intensity fishing beyond the regeneration speed of fishery resources, the environment of offshore fishery resources has been severely damaged, and marine fishery resources are in danger. In order to maintain the sustainable development and utilization of fishery resources, realize the rational allocation of fishery resources, and provide decision-making basis for moderate fishing through reasonable prediction of future fishery resources. [0003] When the existing technology realizes the prediction of fu...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/02G06N3/08G06K9/62
CPCG06Q10/04G06Q50/02G06N3/08G06F18/23G06F18/25
Inventor 刘玉海孙允超苏海涛张建一宋怀明
Owner JIANGSU DAWN INFORMATION TECH CO LTD