Method and system for judging waterlogging ponding depth of scene

Abstract

The invention relates to a method and system for judging the waterlogging depth of a scene, belongs to the technical field of artificial intelligence image recognition, and solves the problems that in the prior art, the waterlogging depth cannot be effectively recognized according to historical data, and waterlogging depth auxiliary measurement equipment has high requirements for the environment, the angle of video monitoring equipment, illumination and shielding, and the waterlogging depth cannot be effectively recognized. And normal work is difficult in complex scenes such as rainstorm. The method comprises the following steps: acquiring image information of each video site in real time, extracting scene classification pre-extraction feature data, inputting the scene classification pre-extraction feature data of each video site image into an optimal scene classification model, and acquiring scene classification information of each video site image; and extracting waterlogging depth pre-extraction feature data of each video site image, respectively inputting the waterlogging depth pre-extraction feature data of each video site image into the optimal classification scene waterlogging identification model consistent with the scene of the image, and obtaining waterlogging depth information of the scene corresponding to each video site image.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence image recognition, and in particular, to a method and system for judging the depth of waterlogging in a scene. Background technique [0002] Urban waterlogging has always been a world-recognized problem in urban management. Therefore, timely and effective monitoring of urban waterlogging events and prevention of flood disasters is an important part of urban flood control protection. [0003] At present, the early warning of waterlogging and waterlogging in domestic cities is generally carried out by a combination of weather forecasting and video monitoring. According to the intensity of rainfall forecast at the monitoring site, video monitoring is used to focus on viewing the scene pictures of the corresponding area. This method is to a certain extent. Part of the problem has been solved above, but some areas with poor drainage conditions usually accumulate water within 5-10 minute...

AI Technical Summary

Problems solved by technology

[0006] In view of the above analysis, the embodiment of the present invention aims to provide a method and system for judging the depth of waterlogging in a scene, to solve the problem that the existing technology cannot effectively judge the image scene and identify the depth of waterlogging based on historical data, and urban waterlogging Depth auxiliary measurement equipment has high requirements on the environment, video surveillance equipment angle, illumination and occlusion, and it is difficult to work normally under complex scene conditions such as heavy rain scenes

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