Real-time flood prevention monitoring system based on edge calculation and big data

Abstract

A real-time flood prevention monitoring system based on edge computing and big data comprises a real-time monitoring unit, more than two edge calculation modules. The real-time monitoring unit is usedfor acquiring images acquired in a real-time manner to the edge calculation modules. Each edge calculation module performs single-point pre-calculation corresponding to at least one monitoring point,identifies and classifying the data at the network edge, and reports the abnormal trend data after identifying abnormal trend data. The system also comprises a data storage and calculation center which is only connected with the changed picture data sent back by all the edge receiving calculation modules, carries out overall continuous flood trend prediction and flood control planning, and sendsa result; a real-time monitoring and early warning center used for receiving the single-point flood trend abnormity identified by the edge calculation module in real time; and a big data center usedfor transmitting alarm and prediction data and generating an overall flood real-time trend and flood control arrangement. The system has the advantages that the network transmission quantity between the terminal and the data center can be reduced, and the storage cost and calculation cost of the big data center are reduced.

Description

technical field [0001] The invention mainly relates to the technical field of water conservancy monitoring, in particular to a real-time flood control monitoring system based on edge computing and big data. Background technique [0002] In the field of hydrological monitoring, it has gradually developed from the previous manual monitoring method to intelligent and real-time monitoring. With the application of more and more intelligent monitoring equipment in the field of hydrological monitoring, the real-time performance and monitoring effect of hydrological monitoring can be continuously improved. Most of the existing hydrological monitoring systems make innovations in the selection of sensing equipment and the integration of functions, but they fail to meet the needs of hydrological monitoring in essence. [0003] When the traditional hydrological monitoring system is working, its calculation is mainly that various collection terminals send data back to the data center co...

AI Technical Summary

Problems solved by technology

[0005] 1. At present, the real-time flood sensor monitoring and real-time video monitoring and other transmission data volumes are large, the processing lags behind, and the alarm lags behind

[0006] 2. All the data is processed in the background in a unified manner, the processing data volume is large, the recognition difficulty is high, and the processing and analysis time is long

[0007] 3. Lack of effective screen recognition and efficient big data platform for recognition, data integration and real-time early warning

[0008] In summary, traditional flood control monitoring systems are difficult to achieve real-time monitoring, forecasting, and early warning effects

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