CN114838670A - Photovoltaic panel dust detection method based on color analysis - Google Patents
Photovoltaic panel dust detection method based on color analysis Download PDFInfo
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- CN114838670A CN114838670A CN202210243083.1A CN202210243083A CN114838670A CN 114838670 A CN114838670 A CN 114838670A CN 202210243083 A CN202210243083 A CN 202210243083A CN 114838670 A CN114838670 A CN 114838670A
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- 239000000428 dust Substances 0.000 title claims abstract description 26
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 230000001678 irradiating effect Effects 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 3
- 238000005286 illumination Methods 0.000 abstract description 5
- 230000000694 effects Effects 0.000 abstract description 3
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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- Spectrometry And Color Measurement (AREA)
Abstract
The invention discloses a photovoltaic panel dust detection method based on color analysis, which comprises the following steps of: s1: irradiating the photovoltaic panel to acquire an image, judging the color similar area with the largest area at present according to the HSV color space, and S2: deleting background noise; s3: and judging the thickness and the area of the current dust according to the brightness and the color area of the color of the developing lamp. The photovoltaic panel dust detection method based on color analysis can ensure recognition under different illumination, and because the photovoltaic panel can absorb visible light wavelength, the dust display lamp can obviously distinguish the irradiation to the photovoltaic panel from the irradiation to the dust, and can display the characteristics of different illumination intensity according to the thickness of the dust, so that the cost is low and the effect is good.
Description
Technical Field
The invention belongs to the technical field of photovoltaic panel dust detection, and particularly relates to a photovoltaic panel dust detection method based on color analysis.
Background
The most common problem of the conventional dust detection is directly solved in a visual mode, the dust detection is easily influenced by factors such as illumination and the like, and if large-area light spots occur, large-area connected domains are presented in image processing and are not beneficial to recognition.
Disclosure of Invention
The invention aims to provide a photovoltaic panel dust detection method based on color analysis, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a photovoltaic panel dust detection method based on color analysis comprises the following steps:
s1: the method comprises the steps of irradiating a photovoltaic panel to acquire an image, judging a color similar area with the largest area at present according to an HSV color space, wherein HSV is a cone, the length of a bevel edge is R, the radius of a bottom surface circle is R, the height of the bottom surface circle is H, and the three-dimensional coordinates (x, y, z) of a point of a color value (H, S, V) are as follows:
x＝r·V·S·cosH
y＝r·V·S·sinH
z＝h·(1-V)；
s2: deleting background noise;
s3: and judging the thickness and the area of the current dust according to the brightness and the color area of the color of the developing lamp.
Preferably, in step S1, a camera is used to capture the image.
In any of the above embodiments, preferably, in step S1, the photovoltaic panel is irradiated with the dust-developing lamp, and the irradiation position of the dust-developing lamp is placed parallel to the photovoltaic panel.
In any of the above embodiments, it is preferable that the background noise having an excessively large distance is deleted by the euclidean distance in step S2.
The invention has the technical effects and advantages that: the photovoltaic panel dust detection method based on color analysis can ensure recognition under different illumination, and because the photovoltaic panel can absorb visible light wavelength, the dust display lamp can obviously distinguish the irradiation to the photovoltaic panel from the irradiation to the dust, and can display the characteristics of different illumination intensity according to the thickness of the dust, so that the cost is low and the effect is good.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic illustration of HSV of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature.
The invention provides a photovoltaic panel dust detection method based on color analysis, which comprises the following steps of:
s1: irradiating the photovoltaic panel, collecting images by adopting a 1080p high-definition camera, judging a color similar area with the largest area at present according to an HSV color space, wherein HSV is a cone, the length R of a bevel edge is, the radius of a circle on the bottom surface is R, the height is H, and the three-dimensional coordinates (x, y, z) of the point of a color value (H, S, V) are as follows:
x＝r·V·S·cosH
y＝r·V·S·sinH
z＝h·(1-V)；
s2: deleting background noise;
s3: and judging the thickness and the area of the current dust according to the brightness and the color area of the color of the developing lamp.
In step S1, the photovoltaic panel is irradiated with the dust-developing lamp, and the irradiation position of the dust-developing lamp is set to be parallel to the photovoltaic panel.
In step S2, the background noise that is too far away is deleted by the euclidean distance.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (4)
1. A photovoltaic panel dust detection method based on color analysis is characterized by comprising the following steps: the method comprises the following steps:
s1: the method comprises the steps of irradiating a photovoltaic panel to acquire an image, judging a color similar area with the largest area at present according to an HSV color space, wherein HSV is a cone, the length of a bevel edge is R, the radius of a bottom surface circle is R, the height of the bottom surface circle is H, and the three-dimensional coordinates (x, y, z) of a point of a color value (H, S, V) are as follows:
x＝r·V·S·cosH
y＝r·V·S·sinH
z＝h·(1-V)；
s2: deleting background noise;
s3: and judging the thickness and the area of the current dust according to the brightness and the color area of the color of the developing lamp.
2. The photovoltaic panel dust detection method based on color analysis according to claim 1, wherein: in step S1, a camera is used to capture an image.
3. The photovoltaic panel dust detection method based on color analysis according to claim 1, wherein: in step S1, the photovoltaic panel is irradiated with the dust-developing lamp, and the irradiation position of the dust-developing lamp is set to be parallel to the photovoltaic panel.
4. The photovoltaic panel dust detection method based on color analysis according to claim 1, wherein: in step S2, the background noise that is too far away is deleted by the euclidean distance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210243083.1A CN114838670A (en) | 2022-03-11 | 2022-03-11 | Photovoltaic panel dust detection method based on color analysis |
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|---|---|---|---|
| CN202210243083.1A CN114838670A (en) | 2022-03-11 | 2022-03-11 | Photovoltaic panel dust detection method based on color analysis |
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| CN114838670A true CN114838670A (en) | 2022-08-02 |
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