CN113819972A - Artificial intelligence surface of water detecting system based on virtual scale - Google Patents
Artificial intelligence surface of water detecting system based on virtual scale Download PDFInfo
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- CN113819972A CN113819972A CN202010644560.6A CN202010644560A CN113819972A CN 113819972 A CN113819972 A CN 113819972A CN 202010644560 A CN202010644560 A CN 202010644560A CN 113819972 A CN113819972 A CN 113819972A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 100
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 39
- 238000010276 construction Methods 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 5
- 238000003384 imaging method Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 5
- 238000005562 fading Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000002352 surface water Substances 0.000 description 2
- 230000003628 erosive effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
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- Fluid Mechanics (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The invention discloses an artificial intelligence water surface detection system based on a virtual scale, which comprises a virtual scale module and a water surface height detection module, wherein the output end of the water surface height detection module is connected with the virtual scale module, the virtual scale module comprises a virtual scale construction method, and the virtual scale construction method comprises the following steps: s1, selecting a water surface detection area, and calibrating through a movable scale; s2, shooting a detected water area image, and uploading the shot image to a construction system; s3, determining the relation between the image pixels and the actual water level scales through a construction system; and S4, combining the pixel characteristics to form a virtual scale module according to the relation between the image pixels and the actual water surface scales. The detection implementation method is simple, reduces the use of an actual scale, overcomes the problems of fading, falling and unclear scale of the existing scale, improves the automation degree of water surface detection, improves the working efficiency of detection, and is suitable for market popularization.
Description
Technical Field
The invention relates to the technical field of water surface detection, in particular to an artificial intelligent water surface detection system based on a virtual scale.
Background
The water level refers to the elevation of the free water surface relative to a certain base plane, and the distance between the water surface and the water bottom is called the water depth. The datum plane used for calculating the water level is an absolute datum plane which is called as a zero level datum plane by taking a certain characteristic sea level elevation, and a yellow datum plane is commonly used; the elevation of a specific point can also be used as a zero point for calculating the water level by reference, and is called a base surface of the measuring station. The water level is the most intuitive factor reflecting the water condition of the water body, and the change of the water level is mainly caused by the increase and decrease of the water quantity of the water body; in order to prevent or reduce the occurrence of flood, the water levels of various surface waters such as reservoirs, rivers, lakes, urban water areas and the like need to be monitored, so that the water levels of various surface waters such as reservoirs, rivers, lakes, urban water areas and the like can be conveniently adjusted according to the measured water levels, and the water level height is usually detected by adopting a ruler;
in the actual operation process of a project, the phenomenon that partial details are fuzzy is frequently seen due to the fact that an actual scale is subjected to wind, sunlight and erosion of rainwater; because in the actual conditions, some water level sites are not suitable for the construction of actual scales, and the scale under the water surface is difficult to construct to as time goes on, the scale can appear fading, the condition of falling out of water, when the surface of water has the floater, can shelter from the scale, be clear when partial surface of water, but do not have the scale and hardly confirm final reading. Therefore, the problems that the water surface detection scale is difficult to implement, the detection result is inaccurate and the like are caused, and therefore the artificial intelligent water surface detection system based on the virtual scale is provided.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides an artificial intelligent water surface detection system based on a virtual scale.
The invention provides an artificial intelligent water surface detection system based on a virtual scale, which comprises a virtual scale module and a water surface height detection module, wherein the output end of the water surface height detection module is connected with the virtual scale module, the virtual scale module comprises a virtual scale construction method, and the virtual scale construction method comprises the following steps:
s1, selecting a water surface detection area, and calibrating through a movable scale;
s2, shooting a detected water area image, and uploading the shot image to a construction system;
s3, determining the relation between the image pixels and the actual water level scales through a construction system;
and S4, combining the pixel characteristics to form a virtual scale module according to the relation between the image pixels and the actual water surface scales.
Preferably, the movable scale scaling does not need to be fixed, and the scaling points are multiple for realizing backup of multiple candidate areas, wherein the multiple candidate areas are used for analyzing the water surface height at multiple positions.
Preferably, the shot and detected water area image is connected with a construction system through wireless artificial intelligence, and the construction system comprises an algorithm for calculating the water area image to obtain a water level result and drawing a virtual scale in the water area image.
Preferably, the imaging types of the virtual scale are two, the first is to directly superimpose the electronic scale on the image and calculate the actual result through an algorithm at the final superimposition position, and the second is to deduct the background image in the scale configuration area, superimpose the virtual electronic scale, and calculate the actual result through an algorithm at the superimposition position.
Preferably, the water level detection module further comprises a detection method, and the detection method comprises the following steps:
s1, photographing and imaging the water area to be detected, and uploading the image to the virtual scale module;
s2, the virtual scale module identifies the distinguishing feature points of the image;
and S3, automatically embodying the identified calibration point to realize water level scale measurement.
Preferably, the index point takes two forms, one is read directly from the virtual scale, and the other is printed onto the image.
The invention can realize the no-scale water surface detection by the calibration of the movable scale, and the calibration is carried out by the movable scale, after the relation between the image pixel and the actual water surface scale is obtained, the water surface scale can be obtained by analyzing the height of the water surface through artificial intelligence, and the scale can be printed on the image according to the calibration result, thereby realizing the measurement of the water surface scale, also being capable of visually judging the accuracy of the measured value according to the virtual scale, and also being separated from the constraint of the scale; the detection implementation method is simple, reduces the use of an actual scale, overcomes the problems of fading, falling and unclear scale of the existing scale, improves the automation degree of water surface detection, improves the working efficiency of detection, and is suitable for market popularization.
Drawings
FIG. 1 is a logic flow diagram of a virtual scale construction method of the present invention;
fig. 2 is a schematic block diagram of the present invention.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
Examples
An artificial intelligence water surface detection system based on a virtual scale comprises a virtual scale module and a water surface height detection module, wherein the output end of the water surface height detection module is connected with the virtual scale module, the virtual scale module comprises a virtual scale construction method, and the virtual scale construction method comprises the following steps:
s1, selecting a water surface detection area, and calibrating through a movable scale;
s2, shooting a detected water area image, and uploading the shot image to a construction system;
s3, determining the relation between the image pixels and the actual water level scales through a construction system;
and S4, combining the pixel characteristics to form a virtual scale module according to the relation between the image pixels and the actual water surface scales.
In the embodiment, the movable scale is not required to be fixed in calibration, a plurality of calibration points are used for realizing backup of a plurality of candidate areas, the plurality of candidate areas are used for analyzing the water surface height at a plurality of positions, the shot and detected water area image is connected with the construction system through wireless artificial intelligence, the construction system comprises an algorithm used for calculating the water area image to obtain a water level result, a virtual scale is drawn in the water area image, the imaging types of the virtual scale are two, the first type is that an electronic scale is directly superposed in the image, the actual result is calculated at the final superposition position through the algorithm, and the second type is that a background image is firstly deducted, then the virtual electronic scale is superposed, and the actual result is calculated at the superposition position through the algorithm;
in this embodiment, the water surface height detection module further includes a detection method, and the detection method includes the following steps:
s1, photographing and imaging the water area to be detected, and uploading the image to the virtual scale module;
s2, the virtual scale module identifies the distinguishing feature points of the image;
and S3, automatically embodying the identified calibration point to realize water level scale measurement.
There are two forms of index point body, one is to read directly according to a virtual scale, and the other is to print the index point to an image.
In this embodiment, through the demarcation of activity scale, can realize no scale surface of water and detect, mark with the scale of an activity, after obtaining the relation of picture element and actual surface of water scale, later just can obtain the surface of water scale through artificial intelligence analysis surface of water's height to can be according to demarcating the result, print the scale to the image on, realized the measurement of surface of water scale, also can stick to the accuracy of virtual scale visual judgement measured value, still broken away from the scale constraint.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. The artificial intelligence water surface detection system based on the virtual scale comprises a virtual scale module and a water surface height detection module, and is characterized in that the output end of the water surface height detection module is connected with the virtual scale module, the virtual scale module comprises a virtual scale construction method, and the virtual scale construction method comprises the following steps:
s1, selecting a water surface detection area, and calibrating through a movable scale;
s2, shooting a detected water area image, and uploading the shot image to a construction system;
s3, determining the relation between the image pixels and the actual water level scales through a construction system;
and S4, combining the pixel characteristics to form a virtual scale module according to the relation between the image pixels and the actual water surface scales.
2. The artificial intelligence water surface detection system based on virtual scale of claim 1, wherein the movable scale calibration need not be fixed, and there are a plurality of calibration points for implementing backup of multiple candidate regions for analyzing water surface height at multiple locations.
3. The artificial intelligence water surface detection system based on the virtual scale as recited in claim 1, wherein the captured and detected water area image is connected with a construction system through wireless artificial intelligence, the construction system comprises an algorithm for calculating the water area image to obtain a water level result, and a virtual scale is drawn in the water area image.
4. The artificial intelligence water surface detection system based on virtual scale of claim 2, characterized in that, the imaging type of the virtual scale is two, the first is to directly superimpose the electronic scale on the image and calculate the actual result by algorithm at the final superimposition position, and the second is to deduct the background image, superimpose the virtual electronic scale and calculate the actual result by algorithm at the superimposition position in the scale configuration area.
5. The artificial intelligence water level detecting system based on virtual scale of claim 1, wherein the water level detecting module further comprises a detecting method, the detecting method comprises the following steps:
s1, photographing and imaging the water area to be detected, and uploading the image to the virtual scale module;
s2, the virtual scale module identifies the distinguishing feature points of the image;
and S3, automatically embodying the identified calibration point to realize water level scale measurement.
6. A virtual scale based artificial intelligence water surface detection system as claimed in claim 5 wherein the calibration point is embodied in two forms, one being read directly from the virtual scale and the other being printed onto the image.
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| CN202010644560.6A CN113819972A (en) | 2020-07-07 | 2020-07-07 | Artificial intelligence surface of water detecting system based on virtual scale |
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| JP2001147148A (en) * | 1999-11-19 | 2001-05-29 | Nec Corp | Device and method for measuring liquid level |
| JP2003149032A (en) * | 2001-11-16 | 2003-05-21 | Mitsubishi Electric Corp | Level measuring device |
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