Method for testing river discharge by combination of hydraulic model and river surface flow rate measured based on videos

Abstract

The invention provides a method for testing river discharge by combination of a hydraulic model and a river surface flow rate measured based on videos. The method involves an intelligent terminal, andthe intelligent terminal comprises a video processing server, a power supply unit, a video acquisition unit, a software client and a data processing platform. The video acquisition unit comprises a first common camera, an infrared camera and a second common camera, and the infrared camera comprises an infrared thermal imager and a near-infrared camera. The software client comprises an informationdisplay APP, a remote data reading terminal and a wireless transceiver. The data processing platform comprises a storage unit, a coordinate processing unit, a video processing unit, a receiving unit,an output unit and a remote data acquisition unit, and the storage unit comprises a database. The method has the advantage of high accuracy, and the calculation speed of the river flow rate testing method is increased.

Description

technical field [0001] The invention belongs to the technical field of hydrological testing, and in particular relates to a river flow testing method based on video-measured river surface velocity combined with a hydraulic model. Background technique [0002] The existing non-contact flow measurement technologies include radar, electromagnetic wave and image flow measurement technology, among which the image flow measurement technology is related to this technology, which can calculate the approximate river surface flow velocity based on the video captured by the temporary camera, and estimate it according to the empirical formula The flow velocity at the bottom of the river is used to estimate the river flow. However, 1. The existing technology cannot meet the needs of night work and rainy and foggy weather work, and the flood of the river is often accompanied by heavy rain, which makes it very difficult to measure the river flow during the flood peak period. Flow data is e...

AI Technical Summary

Problems solved by technology

[0002] The existing non-contact flow measurement technologies include radar, electromagnetic wave and image flow measurement technology, among which the image flow measurement technology is related to this technology, which can calculate the approximate river surface flow velocity based on the video captured by the temporary camera, and estimate it according to the empirical formula The flow velocity at the bottom of the river is used to estimate the river flow. However, 1. The existing technology cannot meet the needs of night work and rainy and foggy weather work, and the flood of the river is often accompanied by heavy rain, which makes it very difficult to measure the river flow during the flood peak period. Flow data is extremely important, and it is of great significance for flood control and disaster relief and protection of people's lives and property

2. The calculation speed of the existing technology is slow and cannot meet the needs of real-time calculation. River flood peak discharge data is of great significance for hydrological forecasting, which can enable decision makers to make judgments before dangerous situations occur, and win precious time for flood fighting and disaster relief

The existing technology takes several hours to get the calculation results after collecting video, which is far from meeting the needs of actual business

3. The existing technology assumes that the river is a horizontal plane in the process of converting the flow velocity vector in the image into the actual vector, which does not conform to the actual situation, which greatly increases the calculation error of the flow velocity of the river with a large slope

4. Existing technology estimates the flow rate based on existing experience and cannot be accurately calculated according to the specific conditions of the actual river channel, which often leads to large errors

5. The existing technology often borrows high-precision and operable industrial cameras, which are very expensive

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