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Rainfall monitoring and calculating method

A technology of rainfall monitoring and calculation methods, applied in calculation, image data processing, instruments, etc., can solve the problems of not being able to meet real-time performance and not being able to obtain accurate rainfall

Active Publication Date: 2021-09-07
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The principle of the mechanical rain gauge is mainly to calculate the amount of rain contained in the container within a certain period of time to evaluate the rainfall level and precipitation; the optical detection rain gauge uses the scattering or refraction of the raindrops in the light field to measure the rain in the rain field. The size of the raindrop; the mechanical rain gauge can detect the rainfall more accurately, but it cannot meet the real-time performance of the detection; the optical detection type can meet the real-time requirements
However, most of them are only used to estimate the rainfall level through the size of raindrops, and cannot obtain accurate rainfall.

Method used

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  • Rainfall monitoring and calculating method

Examples

Experimental program
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Effect test

Embodiment 1

[0081] The rainfall monitoring algorithm relies on the rainfall monitoring equipment, which is equipped with nozzles with adjustable spray volume to simulate the rain scene, adjust the nozzle on the upper end of the equipment to control the amount of rainfall, and capture the rainfall phenomenon through the visible light sensor or camera under the nozzle to obtain rainfall images or videos . Then use the image processing algorithm based on digital image processing and convolutional neural network to process the image and video, specifically as figure 1 shown, including the following steps:

[0082] Step 1, obtain the rainfall monitoring image;

[0083] Step 2. Extract the HSV color saturation and brightness components of the rainfall monitoring map, segment the area where the component is too large, and use the mathematical morphology algorithm to adjust the shape and size of the segmented area to reduce the impact of external light and other interference on the subsequent ra...

application example 1

[0148] Figure 9 It is a raindrop image taken in a relatively simple scene outside the window, where Figure 9 (a) is the original image, and Figure 9(b) is the detected raindrops. Since there is no obvious light interference in the original image, the detection effect of the raindrop area is better. Figure 9 (c) with Figure 9 (d) are the statistical histogram of the raindrop area and the distance histogram of the raindrop center. According to the histogram, it can be seen that there are very few raindrops with large areas, and most raindrop images have small areas, indicating that the actual raindrops are small, and the larger water droplets are formed by the accumulation of multiple raindrops.

application example 2

[0150] Figure 10 For car window images taken in more complex scenes, Figure 10 (a) is a raindrop image. It can be seen from (a) that there is more light interference outside the window. By using the color segmentation algorithm, the light area can be removed. The extracted raindrop area can better overcome the influence of light, such as Figure 10 (b) The raindrop region detection structure is shown. From the statistical histogram of the raindrop area, such as Figure 10 (c) The histogram of the distance from the center of ten drops is shown in Figure 10(d). It can be seen that the area distribution of raindrops is relatively concentrated, mainly because the camera is focused on the window, so the edges of some raindrops are relatively clear, which is helpful for edge detection Algorithms accurately detect raindrop regions.

[0151] The present invention takes the color interference background image taken in the car window as an example to design an algorithm when it ra...

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Abstract

The invention provides a rainfall monitoring and calculating method, which belongs to the field of rainfall monitoring and comprises the following steps of: 1, acquiring a rainfall monitoring image; 2, extracting HSV color saturation and brightness components of the rainfall monitoring graph, segmenting an overlarge component region, adjusting the shape and the size of the segmented region by using a mathematical morphology algorithm, and finally fusing each component segmented region to an original graph; 3, processing the raindrop area based on an improved HED edge detection algorithm to obtain the contour shape of the raindrop; 4, optimizing contour features by using mathematical morphology; 5, extracting a contour enclosing rectangle; 6, raindrop parameters are calculated; and 7, according to the raindrop parameters, calculating a result by using histogram statistics. The method has the advantage of real-time monitoring, and provides a new development thought and technical support for the development of the rainfall monitoring field.

Description

technical field [0001] The invention belongs to the field of rainfall monitoring, and in particular relates to a method for calculating rainfall monitoring. Background technique [0002] At present, the existing rainfall observation devices at home and abroad can be mainly divided into two types: mechanical type and optical detection type. The principle of the mechanical rain gauge is mainly to calculate the amount of rain contained in the container within a certain period of time to evaluate the rainfall level and precipitation; the optical detection rain gauge uses the scattering or refraction of the raindrops in the light field to measure the rain in the rain field. The size of the raindrop; the mechanical rain gauge can detect the rainfall more accurately, but it cannot meet the real-time performance of the detection; the optical detection type can meet the real-time requirements. However, most of them are only used to estimate the rainfall level through the size of rai...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/155G06T7/44G06T7/62G06T5/50G06T7/90
CPCG06T7/0002G06T7/11G06T7/136G06T7/13G06T7/155G06T7/44G06T7/62G06T5/50G06T7/90G06T2207/10024G06T2207/20084G06T2207/20081G06T2207/20221G06T2207/30192G06T2207/30242Y02A90/10
Inventor 吕梅柏余桐周鹏耀魏海瑞刘晓东
Owner NORTHWESTERN POLYTECHNICAL UNIV
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