Adaptive sampling communication method and system for marine data

Abstract

The invention provides an adaptive sampling communication method and system for marine data, comprising the following steps of calculating water body similarity: collecting and analyzing water body samples, calculating and analyzing the difference gradient of adjacent data; data acquisition mode switching: determining data acquisition mode according to adjacent data difference gradient and definedacquisition mode switching threshold; data acquisition and communication: collecting, storing and transmitting data according to the determined data acquisition mode. The invention integrates machinelearning and multi-sensor data acquisition communication technology of ocean instruments, so that the data acquisition is more effective and the problem of data redundancy of the system acquisition is solved. Only the effective data is transmitted, which solves the problem that the amount of data is large but the invalid data accounts for a large proportion in the past, and greatly reduces the waste of system bandwidth. Data is collected according to the change of data to ensure the accuracy of data simulation.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a communication method and system for adaptive sampling of marine data. Background technique [0002] In the current data acquisition system of marine sensors, an equal-density data acquisition algorithm is generally used. The density of data acquisition is set by the system or user in the design and development stage of the algorithm, and the system collects and analyzes water body data according to the set acquisition density. Although the method is relatively simple and easy to implement, it will bring the problem of spatio-temporal redundancy, causing the large amount of collected data to put pressure on the communication and reduce the efficiency of data collection, especially in the face of current marine instruments that are more and more oriented towards multi-sensor integration, large-scale The shortcomings of this traditional method of data acquisition a...

AI Technical Summary

Problems solved by technology

[0002] In the current data acquisition system of marine sensors, an equal-density data acquisition algorithm is generally used. The density of data acquisition is set by the system or user in the design and development stage of the algorithm, and the system collects and analyzes water body data according to the set acquisition density. Although the method is relatively simple and easy to implement, it will bring the problem of spatio-temporal redundancy, causing the large amount of collected data to put pressure on the communication and reduce the efficiency of data collection, especially in the face of current marine instruments that are more and more oriented towards multi-sensor integration, large-scale The shortcomings of this traditional method of data volume are becoming increasingly prominent

[0003] The solution to this problem in the current technical field is generally that the administrator artificially increases or decreases the data collection and communication time interval according to the actual requirements of the measurement performance, but this also has defects

In the area where the data changes are more obvious, it is considered to increase the acquisition frequency, but the acquisition frequency in the data flat area is also increased, which wastes the system bandwidth; on the contrary, if the system bandwidth consumption is reduced, the sampling frequency needs to be reduced, which will lead to Simulation accuracy in areas with strong data changes cannot be guaranteed

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