Reservoir dynamic monitoring system and method based on multi-source data

Abstract

The invention provides a reservoir dynamic monitoring system and method based on multi-source data, and belongs to the reservoir dynamic monitoring technology, and the system comprises a data acquisition module, a multi-source remote sensing data sample module, a deep learning module, a reservoir dynamic text updating module, a reservoir dynamic monitoring module and a cloud platform. According to the invention, the method includes: constructing a nationwide total-factor reservoir information database; performing reservoir target detection by using an object-oriented classification method in combination with a deep learning technology, and endowing reservoir attribute information; updating a reservoir information database according to a remote sensing monitoring method and a ubiquitous network monitoring method. The nationwide reservoir dynamic active monitoring method can actively discover, track and lock reservoir construction and management hot spots and key targets, achieves automatic extraction of deep reservoir information, and provides great convenience for people to use water conservancy information.

Description

technical field [0001] The invention belongs to the technical field of dynamic monitoring of reservoirs, and in particular relates to a dynamic monitoring system and method for reservoirs based on multi-source data. Background technique [0002] China is rich in water resources, especially in the south, where flood disasters are extremely prone to occur during the flood season. In the past, the way to obtain information about water resources in relevant areas was to conduct on-the-spot measurements immediately. This method is limited by the scope, and the information cannot be obtained in time. In view of the fact that water security and water crisis have become prominent factors restricting my country's social and economic development, and reservoir engineering is of great significance to downstream flood control and irrigation, the reservoir type, area, capacity, distribution characteristics, hazard development law, dynamic change trend and Mastering information such as the...

AI Technical Summary

Problems solved by technology

[0003] Although the previous methods can effectively carry out early warning of water regime information, the scope of application is limited to a certain reservoir and its surrounding environment, and the information of the reservoir used is less, so it is impossible to realize the combined use of large-scale and multi-type data, and there is a lag in data use, Deficiency of ineffective use of information

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