CN115714580A - Abnormity detection method for photovoltaic cell panel - Google Patents
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Abstract
The invention provides an abnormity detection method of a photovoltaic cell panel, which comprises the steps of S101, determining the generated power P1 and the generated power P0; s102, judging whether the ratio of the generated power P1 to the generated power P0 is larger than a generated power threshold value or not; if yes, go to step S103; if not, executing step S104; s103, the photovoltaic cell panel is normal; s104, the photovoltaic cell panel is abnormal; executing step S105; s105, determining image similarity according to the current image of the photovoltaic cell panel and the initial image of the photovoltaic cell panel; s106, judging whether the image similarity is larger than a similarity threshold value; if not, executing step S107; if yes, go to step S108; s107, blocking foreign matters in the fault type; and S108, determining the fault or the illumination shadow shielding of the solar cell according to the average gray value of the current image of the photovoltaic cell panel and the sub-gray values of the solar cells. Whether faults exist in each photovoltaic cell panel or not and the fault types are detected, and the on-site working personnel can be reminded of timely removing the faults.
Description
Technical Field
The invention relates to the technical field of fault monitoring, in particular to an abnormity detection method for a photovoltaic cell panel.
Background
Energy is the basis of economic development, the existing energy consumption is mainly traditional energy, and the environmental pollution and ecological balance are damaged as the traditional energy storage is gradually consumed. The solar energy is an ideal alternative energy source by virtue of the characteristics of self renewability, wide distribution range, abundant storage and zero environmental pollution; the conversion of solar energy into electrical energy is a direct and efficient form, which is the photovoltaic power generation technology.
Because photovoltaic cell board exposes probably to lead to the continuous emergence of the trouble of different grade type under outdoor rugged environment condition, for example, photovoltaic cell board self trouble, snow shelters from, illumination shadow etc. reason, lead to photovoltaic cell board work unusual. Photovoltaic cell board in case the trouble fails in time to maintain, consequently, can reduce subassembly life for ageing, reduce output efficiency, cause the safety problem when serious.
In order to ensure that the photovoltaic power generation system operates efficiently and safely, fault detection must be introduced to protect the photovoltaic cell panel, and real-time monitoring is carried out on the working condition of the photovoltaic cell panel so as to know whether the photovoltaic cell panel fails or not.
Disclosure of Invention
In view of the above, the present invention provides an abnormality detection method for photovoltaic cell panels, which detects whether each photovoltaic cell panel has a fault and a fault type, and can remind field workers to remove the fault in time, thereby avoiding power generation loss and ensuring efficient and stable operation of the photovoltaic cell panels.
In order to solve the technical problems, the invention adopts the technical scheme that:
an abnormality detection method for a photovoltaic cell panel, the photovoltaic cell panel being composed of a plurality of solar cells, comprising:
s101, determining the power generation power P1 of the photovoltaic cell panel in the current state and the power generation power P0 of the photovoltaic cell panel in the initial state;
s102, judging whether the ratio of the generated power P1 to the generated power P0 is larger than a generated power threshold value or not; if yes, go to step S103; if not, executing step S104;
s103, the photovoltaic cell panel in the current state works normally;
s104, the photovoltaic cell panel in the current state works abnormally; executing step S105;
s105, determining the image similarity of the current image and the initial image according to the current image of the photovoltaic cell panel and the initial image of the photovoltaic cell panel;
s106, judging whether the image similarity is larger than a similarity threshold value; if not, executing step S107; if yes, go to step S108;
s107, blocking foreign matters in the fault type of the photovoltaic cell panel in the current state;
and S108, determining the fault type of the photovoltaic cell panel as a solar cell fault or illumination shadow shielding according to the average gray value of the current image of the photovoltaic cell panel and the sub-gray values of the solar cells.
Optionally, in the present invention, step S108 specifically includes:
performing graying processing on a current image of the photovoltaic cell panel to obtain a first grayscale image;
determining a first average gray value of the first gray image;
the first gray level image is subjected to segmentation processing to obtain a plurality of first sub-gray level images;
determining a first sub-gray value of each first sub-gray image;
sequentially comparing the first sub-gray values of the first sub-gray images with the first average gray value of the first gray image;
screening out the first sub-gray level images of which the first sub-gray level values are not larger than the first average gray level value.
Optionally, in the present invention, when the first sub-grayscale value of the first sub-grayscale image is greater than the first average grayscale value of the first grayscale image, the first sub-grayscale image is referred to as a normal image, and the solar cell corresponding to the normal image is referred to as a normal cell:
when the first sub-gray value of the first sub-gray image is not greater than the first average gray value of the first gray image, the first sub-gray image is called a shadow image, and the solar cell corresponding to the shadow image is called a shadow cell;
solar cell types include shadow cells and normal cells.
Optionally, in the present invention, after screening out each first sub-gray image whose first sub-gray value is not greater than the first average gray value, the method further includes: forming a first corresponding relation between the solar cell number and the solar cell type;
wherein, a plurality of solar cell in the photovoltaic cell board all correspond a serial number.
Optionally, in the present invention, after forming the first corresponding relationship between the solar cell number and the solar cell type, the method further includes:
after the preset time, acquiring the latest image of the photovoltaic cell panel again;
carrying out graying processing on the latest image of the photovoltaic cell panel to obtain a second grayscale image;
determining a second average gray value of the second gray image;
segmenting the second gray level image to obtain a plurality of second sub-gray level images;
determining a second sub-gray value of each second sub-gray image;
sequentially comparing the second sub-gray values of the second sub-gray images with the second average gray value of the second gray image;
screening out each second sub-gray level image of which the second sub-gray level value is not greater than the second average gray level value;
forming a second corresponding relation between the solar cell number and the solar cell type;
when a second sub-gray value of the second sub-gray image is greater than a second average gray value of the second gray image, the second sub-gray image is called a normal image, and the solar cell corresponding to the normal image is called a normal cell:
when the second sub-gray value of the second sub-gray image is not greater than the second average gray value of the second gray image, the second sub-gray image is called a shadow image, and the solar cell corresponding to the shadow image is called a shadow cell.
Optionally, in the present invention, the method further includes:
judging whether the first corresponding relation and the second corresponding relation are the same;
if so, the photovoltaic cell panel fault type in the current state is a solar cell fault;
if not, the fault type of the photovoltaic cell panel in the current state is shielded by the illumination shadow.
Optionally, in the present invention, step S101 specifically includes:
one end of the photovoltaic cell panel in the current state is connected with the first load bulb through the first power supply, and the other end of the photovoltaic cell panel is connected with the communication equipment through the first voltage sensor and the first current sensor in sequence and is sent to the terminal through the communication equipment;
one end of the photovoltaic cell panel in the initial state is connected with the second load bulb through the second power supply, and the other end of the photovoltaic cell panel is connected with the communication equipment through the second voltage sensor and the second current sensor in sequence and is sent to the terminal through the communication equipment;
the method comprises the steps that a first current sensor and a first voltage sensor respectively measure current I1 and voltage U1 of a photovoltaic cell panel in the current state; the second current sensor and the second voltage sensor are used for measuring the current I2 and the voltage U2 of the photovoltaic cell panel in the initial state respectively;
and determining the power generation power P1 of the photovoltaic panel in the current state and the power generation power P0 of the photovoltaic panel in the initial state according to the P = UI.
The invention has the advantages and positive effects that:
therefore, the photovoltaic cell panel fault detection method and device can detect whether faults and fault types exist in each photovoltaic cell panel, can remind field workers of removing the faults in time, avoid power generation loss and guarantee efficient and stable operation of the photovoltaic cell panels.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of an abnormality detection method of a photovoltaic cell panel of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for purposes of illustration only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
A method for detecting an abnormality of a photovoltaic cell panel, as shown in fig. 1, the photovoltaic cell panel being formed of a plurality of solar cells, includes:
s101, determining the power generation power P1 of the photovoltaic cell panel in the current state and the power generation power P0 of the photovoltaic cell panel in the initial state;
step S101 specifically includes:
one end of the photovoltaic cell panel in the current state is connected with the first load bulb through the first power supply, and the other end of the photovoltaic cell panel is connected with the communication equipment through the first voltage sensor and the first current sensor in sequence and is sent to the terminal through the communication equipment;
one end of the photovoltaic cell panel in the initial state is connected with the second load bulb through the second power supply, and the other end of the photovoltaic cell panel is connected with the communication equipment through the second voltage sensor and the second current sensor in sequence and is sent to the terminal through the communication equipment;
the method comprises the steps that a first current sensor and a first voltage sensor respectively measure current I1 and voltage U1 of a photovoltaic cell panel in the current state; the second current sensor and the second voltage sensor respectively measure the current I2 and the voltage U2 of the photovoltaic cell panel in the initial state;
and determining the power generation power P1 of the photovoltaic cell panel in the current state and the power generation power P0 of the photovoltaic cell panel in the initial state according to the P = UI.
Wherein P1= U1 × I1, and P0= U0 × I0.
S102, judging whether the ratio of the generated power P1 to the generated power P0 is larger than a generated power threshold value or not; if yes, go to step S103; if not, executing step S104;
for example, the generated power threshold value of 0.85 will be described as an example.
Calculating the power generation power P0 of the photovoltaic cell panel in the initial state to be 200W;
calculating the power generation power P1 of the photovoltaic cell panel in the current state to be 160W;
determining that the ratio of the generated power P1 to the generated power P0 is 0.8;
the ratio 0.8 of the generated power P1 to the generated power P0 is smaller than the generated power threshold value 0.85, so that the photovoltaic cell panel in the current state is abnormal in operation.
In practical application, the generated power threshold can be set according to practical conditions, and is not specifically limited herein, so that the flexibility of design is improved to meet the requirements of different scenes.
S103, the photovoltaic cell panel in the current state works normally;
s104, the photovoltaic cell panel in the current state works abnormally; executing step S105;
specifically, the photovoltaic cell panel in the current state may work abnormally, and the three types of failure may be foreign matter blocking, solar cell failure, and illumination shadow blocking, which will be described in detail below to determine the type of failure of the photovoltaic cell panel.
S105, determining the image similarity of the current image and the initial image according to the current image of the photovoltaic cell panel and the initial image of the photovoltaic cell panel;
s106, judging whether the image similarity is larger than a similarity threshold value; if not, executing step S107; if yes, go to step S108;
s107, blocking foreign matters in the fault type of the photovoltaic cell panel in the current state;
the foreign matter shielding can be dust shielding or snow shielding.
And S108, determining the fault type of the photovoltaic cell panel as a solar cell fault or illumination shadow shielding according to the average gray value of the current image of the photovoltaic cell panel and the sub-gray values of the solar cells.
Therefore, after the photovoltaic cell panel runs for a period of time, the generated power of the photovoltaic cell panel is reduced due to the influence of internal conditions such as the self fault of the photovoltaic cell panel and the influence of external conditions such as dust and accumulated snow deposited on the surface of the photovoltaic cell panel, and therefore, in the invention, the generated power P1 of the photovoltaic cell panel in the current state and the generated power P0 of the photovoltaic cell panel in the initial state are calculated, and the ratio of the generated power P1 to the generated power P0 is judged to determine whether the photovoltaic cell panel in the current state normally works or not;
the photovoltaic cell panel in the initial state is the photovoltaic cell panel just after installation, and the photovoltaic cell panel in the initial state and the photovoltaic cell panel in the current state can form a comparison group;
if the photovoltaic cell panel in the current state is in abnormal operation, firstly, acquiring a current image of the photovoltaic cell panel and an initial image of the photovoltaic cell panel, calculating the image similarity of the current image of the photovoltaic cell panel and the initial image of the photovoltaic cell panel, and if the image similarity is not greater than a similarity threshold value, indicating that the fault type of the photovoltaic cell panel in the current state is foreign matter shielding;
because the surface of the initial image of the photovoltaic cell panel is clean and pollution-free, whether the surface of the photovoltaic cell panel has pollutants or not in the current state can be determined by comparing the current image of the photovoltaic cell panel with the initial image of the photovoltaic cell panel.
If the image similarity is greater than the similarity threshold value, the condition that the fault type of the photovoltaic cell panel is shielded by foreign matters can be eliminated, and then the fault type of the photovoltaic cell panel is determined to be the fault of the solar cell or shielded by illumination shadow;
specifically, the fault type of the photovoltaic cell panel is determined by comparing the first corresponding relationship with the second corresponding relationship, and how to determine the fault type of the photovoltaic cell panel as a solar cell fault or illumination shadow blocking is described in detail below.
Optionally, in the present invention, step S108 specifically includes:
performing graying processing on a current image of the photovoltaic cell panel to obtain a first grayscale image;
determining a first average gray value of the first gray image;
the first gray level image is subjected to segmentation processing to obtain a plurality of first sub-gray level images;
determining a first sub-gray value of each first sub-gray image;
sequentially comparing the first sub-gray values of the first sub-gray images with the first average gray value of the first gray image;
screening out each first sub-gray level image of which the first sub-gray level value is not larger than the first average gray level value.
And splicing the plurality of first sub-gray level images to form a complete first gray level image.
It should be noted that the number of the first sub-grayscale images matches the number of the solar cells included in the photovoltaic panel.
For example, a photovoltaic panel is described as an example in which five solar cells are used.
Performing graying processing on a current image of the photovoltaic cell panel to obtain a first grayscale image;
determining a first average gray value of the first gray image, which may be 100;
the first gray level image is subjected to segmentation processing to obtain five first sub gray level images which are respectively marked as a first sub gray level image 1, a first sub gray level image 2, a first sub gray level image 3, a first sub gray level image 4 and a first sub gray level image 5;
determining a first sub-gray value of each first sub-gray image, where the first sub-gray values corresponding to the first sub-gray image 1, the first sub-gray image 2, the first sub-gray image 3, the first sub-gray image 4, and the first sub-gray image 5 may be 60, 90, 110, 180, and 200, respectively;
the first sub-gray value 60 of the first sub-gray image 1 is smaller than the first average gray value 100 of the first gray image;
the first sub-gray value 90 of the first sub-gray image 2 is smaller than the first average gray value 100 of the first gray image;
the first sub-gray value 110 of the first sub-gray image 3 is greater than the first average gray value 100 of the first gray image;
the first sub-gray value 180 of the first sub-gray image 4 is greater than the first average gray value 100 of the first gray image;
the first sub-gray value 200 of the first sub-gray image 5 is greater than the first average gray value 100 of the first gray image;
screening out each first sub-gray level image of which the first sub-gray level value is not greater than the first average gray level value;
accordingly, the first sub gray image 1 and the first sub gray image 2 are screened out.
Optionally, in the present invention, when the first sub-grayscale value of the first sub-grayscale image is greater than the first average grayscale value of the first grayscale image, the first sub-grayscale image is referred to as a normal image, and the solar cell corresponding to the normal image is referred to as a normal cell:
when the first sub-gray value of the first sub-gray image is not greater than the first average gray value of the first gray image, the first sub-gray image is called a shadow image, and the solar cell corresponding to the shadow image is called a shadow cell;
solar cell types include shadow cells and normal cells.
Optionally, in the present invention, after screening out each first sub-gray image whose first sub-gray value is not greater than the first average gray value, the method further includes: forming a first corresponding relation between the solar cell number and the solar cell type;
wherein, a plurality of solar cell in the photovoltaic cell board all correspond a serial number.
For example, the photovoltaic panel includes three solar cells, and the three solar cells are respectively numbered as number 1, number 2, and number 3.
The first correspondence may be expressed as: the number 1 corresponds to a normal battery.
Optionally, in the present invention, after forming the first corresponding relationship between the solar cell number and the solar cell type, the method further includes:
after the preset time, acquiring the latest image of the photovoltaic cell panel again;
carrying out graying processing on the latest image of the photovoltaic cell panel to obtain a second grayscale image;
determining a second average gray value of the second gray image;
segmenting the second gray level image to obtain a plurality of second sub-gray level images;
determining a second sub-gray value of each second sub-gray image;
sequentially comparing the second sub-gray values of the second sub-gray images with the second average gray value of the second gray image;
screening out each second sub-gray level image of which the second sub-gray level value is not greater than the second average gray level value;
forming a second corresponding relation between the solar cell number and the solar cell type;
when a second sub-gray value of the second sub-gray image is greater than a second average gray value of the second gray image, the second sub-gray image is called a normal image, and the solar cell corresponding to the normal image is called a normal cell:
when the second sub-gray value of the second sub-gray image is not greater than the second average gray value of the second gray image, the second sub-gray image is called a shadow image, and the solar cell corresponding to the shadow image is called a shadow cell.
The preset time can be set to 30 minutes, and certainly, other times can be set, which are not specifically limited herein, so that the flexibility of design is improved to meet the requirements of different scenes.
And, the second correspondence may be expressed as: number 1 corresponds to the shaded cell.
Optionally, in the present invention, the method further includes:
judging whether the first corresponding relation and the second corresponding relation are the same;
if so, the photovoltaic cell panel fault type in the current state is a solar cell fault;
if not, the fault type of the photovoltaic cell panel in the current state is the blocking of the illumination shadow.
For example, when the first corresponding relationship is that the number 1 corresponds to the normal cell, and the second corresponding relationship is that the number 1 corresponds to the shadow cell, it indicates that the first corresponding relationship is different from the second corresponding relationship, and then the fault type of the photovoltaic cell panel in the current state is illumination shadow blocking, that is, the photovoltaic cell panel is affected by illumination, and the type of the solar cell is changed from the normal cell to the shadow cell.
Optionally, in the invention, the method further comprises:
and prompting field workers to execute different operations after the photovoltaic cell panel breaks down.
For example, when the fault type of the photovoltaic cell panel is determined to be the foreign matter shielding state, field workers can be prompted to clean the surface of the photovoltaic cell panel;
when the fault type of the photovoltaic cell panel is determined to be a solar cell fault, field workers can be prompted to maintain or replace the solar cell;
when the fault type of the photovoltaic cell panel is determined to be shielded by the illumination shadow, the field worker does not need to be prompted.
Therefore, the photovoltaic cell panel fault detection method and device can detect whether faults and fault types exist in each photovoltaic cell panel, can remind field workers of removing the faults in time, avoid power generation loss and guarantee efficient and stable operation of the photovoltaic cell panels.
The embodiments of the present invention have been described in detail, but the description is only for the preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. All equivalent changes and modifications made within the scope of the present invention should be covered by this patent.
Claims (7)
1. An abnormality detection method for a photovoltaic cell panel, the photovoltaic cell panel being composed of a plurality of solar cells, characterized by comprising:
s101, determining the power generation power P1 of the photovoltaic cell panel in the current state and the power generation power P0 of the photovoltaic cell panel in the initial state;
s102, judging whether the ratio of the generated power P1 to the generated power P0 is larger than a generated power threshold value or not; if yes, go to step S103; if not, executing step S104;
s103, the photovoltaic cell panel in the current state works normally;
s104, the photovoltaic cell panel in the current state works abnormally; executing step S105;
s105, determining the image similarity of the current image and the initial image according to the current image of the photovoltaic cell panel and the initial image of the photovoltaic cell panel;
s106, judging whether the image similarity is larger than a similarity threshold value; if not, executing step S107; if yes, go to step S108;
s107, blocking foreign matters in the fault type of the photovoltaic cell panel in the current state;
and S108, determining the fault type of the photovoltaic cell panel as a solar cell fault or illumination shadow shielding according to the average gray value of the current image of the photovoltaic cell panel and the sub-gray values of the solar cells.
2. The method according to claim 1, wherein the step S108 specifically includes:
performing graying processing on a current image of the photovoltaic cell panel to obtain a first grayscale image;
determining a first average gray value of the first gray image;
segmenting the first gray level image to obtain a plurality of first sub gray level images;
determining a first sub-gray value of each first sub-gray image;
sequentially comparing the first sub-gray values of the first sub-gray images with the first average gray value of the first gray image;
screening out each first sub-gray level image of which the first sub-gray level value is not larger than the first average gray level value.
3. The method for detecting the abnormality of the photovoltaic cell panel according to claim 2, wherein when the first sub-gray scale value of the first sub-gray scale image is greater than the first average gray scale value of the first gray scale image, the first sub-gray scale image is called a normal image, and the solar cell corresponding to the normal image is called a normal cell:
when the first sub-gray value of the first sub-gray image is not greater than the first average gray value of the first gray image, the first sub-gray image is called a shadow image, and the solar cell corresponding to the shadow image is called a shadow cell;
solar cell types include shadow cells and normal cells.
4. The method according to claim 3, wherein after screening out each first sub-gray image having the first sub-gray value not greater than the first average gray value, the method further comprises: forming a first corresponding relation between the solar cell number and the solar cell type;
wherein, a plurality of solar cell in the photovoltaic cell board all correspond a serial number.
5. The method of claim 4, further comprising, after the first correspondence between the solar cell number and the solar cell type is formed:
after the preset time, acquiring the latest image of the photovoltaic cell panel again;
carrying out graying processing on the latest image of the photovoltaic cell panel to obtain a second grayscale image;
determining a second average gray value of the second gray image;
the second gray level image is segmented to obtain a plurality of second sub-gray level images;
determining a second sub-gray value of each second sub-gray image;
sequentially comparing the second sub-gray values of the second sub-gray images with the second average gray value of the second gray image;
screening out each second sub-gray level image of which the second sub-gray level value is not greater than the second average gray level value;
forming a second corresponding relation between the solar cell number and the solar cell type;
when a second sub-gray value of the second sub-gray image is greater than a second average gray value of the second gray image, the second sub-gray image is called a normal image, and the solar cell corresponding to the normal image is called a normal cell:
when the second sub-gray value of the second sub-gray image is not greater than the second average gray value of the second gray image, the second sub-gray image is called a shadow image, and the solar cell corresponding to the shadow image is called a shadow cell.
6. The method for detecting the abnormality of the photovoltaic cell panel according to claim 5, further comprising:
judging whether the first corresponding relation and the second corresponding relation are the same;
if so, the photovoltaic cell panel fault type in the current state is a solar cell fault;
if not, the fault type of the photovoltaic cell panel in the current state is shielded by the illumination shadow.
7. The method for detecting the abnormality of the photovoltaic cell panel according to claim 1, wherein the step S101 specifically includes:
one end of the photovoltaic cell panel in the current state is connected with the first load bulb through the first power supply, and the other end of the photovoltaic cell panel is connected with the communication equipment through the first voltage sensor and the first current sensor in sequence and is sent to the terminal through the communication equipment;
one end of the photovoltaic cell panel in the initial state is connected with the second load bulb through the second power supply, and the other end of the photovoltaic cell panel is connected with the communication equipment through the second voltage sensor and the second current sensor in sequence and is sent to the terminal through the communication equipment;
the method comprises the steps that a first current sensor and a first voltage sensor respectively measure current I1 and voltage U1 of a photovoltaic cell panel in the current state; the second current sensor and the second voltage sensor respectively measure the current I2 and the voltage U2 of the photovoltaic cell panel in the initial state;
and determining the power generation power P1 of the photovoltaic panel in the current state and the power generation power P0 of the photovoltaic panel in the initial state according to the P = UI.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115940809A (en) * | 2023-03-09 | 2023-04-07 | 深圳市迪晟能源技术有限公司 | Solar panel fault detection method based on power data and visual analysis |
| CN116205892A (en) * | 2023-03-13 | 2023-06-02 | 北京智盟信通科技有限公司 | Method and device for evaluating working condition of photovoltaic string |
| CN117424559A (en) * | 2023-10-20 | 2024-01-19 | 重庆千信新能源有限公司 | Method for monitoring photovoltaic coating power failure by using machine vision |
-
2022
- 2022-10-08 CN CN202211223934.2A patent/CN115714580A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115940809A (en) * | 2023-03-09 | 2023-04-07 | 深圳市迪晟能源技术有限公司 | Solar panel fault detection method based on power data and visual analysis |
| CN116205892A (en) * | 2023-03-13 | 2023-06-02 | 北京智盟信通科技有限公司 | Method and device for evaluating working condition of photovoltaic string |
| CN116205892B (en) * | 2023-03-13 | 2024-04-05 | 北京智盟信通科技有限公司 | Method and device for evaluating working condition of photovoltaic string |
| CN117424559A (en) * | 2023-10-20 | 2024-01-19 | 重庆千信新能源有限公司 | Method for monitoring photovoltaic coating power failure by using machine vision |
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