System and method for monitoring river flow in real time through simulating binocular vision

Abstract

The invention discloses a system and a method for monitoring river flow in real time through simulating binocular vision in order to overcome a problem that an existing flood warning system is inaccurate. The system comprises a river water surface tracing platform, a natural water surface observation platform, an image acquisition and transmission platform and a flow estimation platform, wherein the river water surface tracing platform comprises a natural water surface floating object or a natural water surface wave; the natural water surface observation platform comprises two high-definitionwide dynamic wide-angle non-distorted camera modules; the image acquisition and transmission platform comprises a plurality of remote routers which communicate through 5G; the flow estimation platformcomprises a flow calculation module and a monitoring display module; an online data real-time transmission platform is built on the basis of an optical flow method and a 5G technology, rapid analysisof data flow and online flow monitoring are realized, and the analysis response time reaches hundreds of milliseconds. Real-time and reliable flow measurement and estimation are carried out on a river network by using a computer vision means and the calculation capability, so that the severity of an event is evaluated more accurately, and a flash flood condition is improved.

Description

Technical field [0001] The invention relates to the field of visual flow measurement, in particular to a real-time monitoring system and method of river flow that simulate binocular vision. Background technique [0002] Floods are devastating natural disasters on a global scale. It is estimated that 250 million people around the world are affected by floods every year and cause billions of dollars in damage. Flood forecasting can help individuals and authorities better prepare to ensure people’s safety, but at present, many areas cannot provide accurate forecasts. Moreover, the early warning systems that do exist may be inaccurate and unable to take action, resulting in too many people not being fully prepared and fully aware of the situation before the flood. [0003] For example, a "hydrological monitoring system based on the Internet of Things" disclosed in Chinese patent documents, its announcement number "CN109506631A", includes: at least one hydrological monitoring device i...

AI Technical Summary

Problems solved by technology

The system only monitors hydrology, and cannot estimate the amount of floods, and cannot improve the situation of sudden floods.

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