Intelligent water level monitoring method based on image recognition

A technology of water level monitoring and image recognition, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of manpower consumption, personal safety threat, and low efficiency, and achieve the effect of reducing manual operation cost and improving accuracy

Pending Publication Date: 2019-09-10
BEIJING GUOXIN HUAYUAN TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing method is through manual site survey, which not only consum

Method used

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  • Intelligent water level monitoring method based on image recognition
  • Intelligent water level monitoring method based on image recognition
  • Intelligent water level monitoring method based on image recognition

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Embodiment Construction

[0030] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0031] Such as figure 1 As shown, the intelligent water level monitoring method based on image recognition in the embodiment of the present invention comprises the following steps:

[0032] Step S1, receiving the image data sent by the camera equipment in the measured area, wherein the image data includes a water gauge image.

[0033] Specifically, a plurality of camera devices are installed around the measured area, and the images containing the water gauge are captured by the camera devices, and then remotely transmitted to th...

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Abstract

The invention provides an intelligent water level monitoring method based on image recognition. The intelligent water level monitoring method comprises: receiving image data sent by camera equipment in a tested area; detecting and identifying a water gauge part above the water surface in the image data by adopting a deep neural network, and segmenting a water gauge image above the water surface byadopting a graph cut algorithm on the basis; calculating the height of the water gauge above the water surface according to the segmented water gauge image, and obtaining the height of the water gauge below the water surface in combination with the overall height of the water gauge; the water level value can be calculated by acquiring the height of the bottom of the water gauge and the height ofthe water gauge below the water surface of the actual station. According to the method, manual on-site water level survey is not needed, image acquisition is achieved in a remote mode, analysis processing is conducted locally, the water level value is calculated, the manual operation cost is greatly reduced, and the measurement accuracy is also improved.

Description

technical field [0001] The invention relates to the technical field of water level monitoring, in particular to an image recognition-based intelligent water level monitoring method. Background technique [0002] Water level observation refers to the on-the-spot measurement of the water levels of rivers, lakes and groundwater. Water level data is closely related to human social life and production. The planning, design, construction and management of water conservancy projects require water level data. Bridges, ports, waterways, water supply and drainage and other engineering constructions also require water level data. In flood control and drought relief, water level data is more important, it is the basis of hydrological forecast and hydrological information. Water level data are important basic data in the study of the relationship between water level and flow and in the analysis of river sediment and ice conditions. [0003] Usually measured with a water gauge. The w...

Claims

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Application Information

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IPC IPC(8): G06T7/60G06T7/11G01F23/04
CPCG06T7/60G01F23/04G06T2207/10016G06T2207/20081G06T2207/20084
Inventor 严建华贺鑫焱刘昌军何秉顺林灿尧李青李磊何艳芳张翠军杨兵申玉龙肖鹏磊
Owner BEIJING GUOXIN HUAYUAN TECH
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