Big data mining-based marine monitoring system and method

Abstract

The invention relates to a big data mining-based marine monitoring system and method. The system comprises a plurality of marine water quality monitoring stations, an unmanned aerial vehicle and a control center, wherein each marine water quality monitoring station comprises a water quality monitoring module, a first communication module and a positioning module; the unmanned aerial vehicle comprises a data storage module and a second communication module; the control center stores position data of each marine water quality monitoring station in each monitoring period; the first communicationmodule of each marine water quality monitoring station communicates with the second communication module of the unmanned aerial vehicle; and the unmanned aerial vehicle communicates with the control center. According to the system and the method, remote real-time marine monitoring is realized through the unmanned aerial vehicle and the marine water quality monitoring stations; marine environment pollution is quickly discovered based on big data processing; the marine resource utilization rate is increased; and the data transmission accuracy and the quickness of abnormity judgment are ensured.

Description

technical field [0001] The invention relates to the technical field of marine monitoring, in particular to a marine monitoring system and method based on big data mining. Background technique [0002] The ocean covers more than 70% of the earth's surface and contains extremely rich resources. With the increasing consumption of land resources, the development of marine resources is becoming more and more important to my country's economic development. Marine environmental monitoring is the basis for the development of marine resources. Dynamic monitoring is critical. [0003] With the continuous and rapid development of data acquisition and data communication, marine environmental monitoring is gradually transitioning to online monitoring. However, due to the constraints of ground network coverage, the application of Internet of Things technology has certain limitations. In areas without ground network coverage, monitoring data cannot be transmitted, and remote real-time moni...

AI Technical Summary

Problems solved by technology

[0003] With the continuous and rapid development of data acquisition and data communication, marine environmental monitoring is gradually transitioning to online monitoring. However, due to the constraints of ground network coverage, the application of Internet of Things technology has certain limitations.

In areas without ground network coverage, monitoring data cannot be transmitted, and remote real-time monitoring of the marine environment cannot be realized, which makes it difficult to detect in time when the marine environment is polluted

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