CN117172962B

CN117172962B - Power system-based electricity utilization energy saving method and system

Info

Publication number: CN117172962B
Application number: CN202310879424.9A
Authority: CN
Inventors: 翁秀奇; 陈加国; 汪自虎; 倪志斌
Original assignee: Nanjing Vocational University of Industry Technology NUIT
Current assignee: Nanjing Vocational University of Industry Technology NUIT
Priority date: 2023-07-17
Filing date: 2023-07-17
Publication date: 2024-04-16
Anticipated expiration: 2043-07-17
Also published as: CN117172962A

Abstract

The invention provides a power consumption energy saving method and a power consumption energy saving system based on a power system, wherein if a comparison pixel value is not in a standard pixel interval, a corresponding comparison image is marked as an abnormal image; acquiring white light images corresponding to the abnormal images as stoping images, determining acquisition positions corresponding to the stoping images as first stoping points, and acquiring center points corresponding to the abnormal image areas in the stoping images as second stoping points; if the number of the second stoping points in the stoping image is equal to 1, processing the first stoping points and the second stoping points according to a first stoping strategy to obtain independent stoping points, and independent stoping positions and independent stoping heights corresponding to the independent stoping points; and if the number of the second stoping points in the stoping image is greater than 1, processing the plurality of second stoping points according to a second stoping strategy to obtain at least one comprehensive stoping point, and obtaining the comprehensive stoping position and the comprehensive stoping height of the corresponding comprehensive stoping point according to the first stoping point and the comprehensive stoping point.

Description

Power system-based electricity utilization energy saving method and system

Technical Field

The invention relates to a data processing technology, in particular to a power consumption energy saving method and system based on a power system.

Background

Along with the great popularization and implementation of energy conservation and emission reduction, people gradually realize the importance of electricity consumption and energy conservation. At present, solar energy is taken as a clean energy source, and the installation of the solar energy is a measure which is particularly important for electricity consumption and energy conservation, so that the solar energy is widely applied and favored by people.

The photovoltaic panels are used for generating electricity as an important solar power generation mode, and have the characteristics of cleanness, safety and the like, and at present, the number of the photovoltaic panels is increased, and an electric power system is gradually formed among the photovoltaic panels. In urban areas, photovoltaic panels are generally installed at roofs of buildings, such as office buildings, however, the photovoltaic panels installed at the roofs may malfunction due to dust, sundries, etc. during use, thereby affecting the power generation efficiency and the service life of the photovoltaic panels. And because the photovoltaic panels are usually installed in groups, when one of the photovoltaic panels is damaged, the corresponding power system is likely to be damaged, and thus, the loss of electric energy is caused.

Therefore, how to carry out inspection and judgment on the condition of the photovoltaic panel in the target area and generate a recovery strategy by combining the judgment result to obtain refined abnormal data becomes a problem to be solved urgently.

Disclosure of Invention

The embodiment of the invention provides a power consumption energy saving method and a power consumption energy saving system based on a power system, which can carry out inspection and judgment on the condition of a photovoltaic panel in a target area, and generate a stoping strategy to obtain refined abnormal data by combining a judgment result.

In a first aspect of the embodiment of the present invention, there is provided an electricity-saving method based on an electric power system, including:

acquiring acquisition positions of all energy-saving roofs in a target area, controlling an unmanned aerial vehicle to overlook and acquire white light images and infrared images corresponding to photovoltaic panel areas of all energy-saving roofs based on the acquisition positions, dividing the infrared images to obtain a plurality of comparison images, and sequentially configuring acquisition numbers for the plurality of comparison images;

obtaining a standard pixel interval corresponding to the current illuminance according to the illuminance comparison table, obtaining comparison pixel values corresponding to the comparison images based on pixel points in the comparison images, and marking the corresponding comparison images as abnormal images if the comparison pixel values are not in the standard pixel interval;

acquiring a white light image corresponding to the abnormal image as a stoping image, carrying out coordinated processing on the stoping image, determining an acquisition position corresponding to the stoping image as a first stoping point, and acquiring a center point corresponding to the abnormal image area in each stoping image as a second stoping point;

If the number of the second stoping points in the stoping image is equal to 1, processing the first stoping points and the second stoping points according to a first stoping strategy to obtain independent stoping points, and independent stoping positions and independent stoping heights corresponding to the independent stoping points;

if the number of the second stoping points in the stoping image is greater than 1, processing the plurality of second stoping points according to a second stoping strategy to obtain at least one comprehensive stoping point, and obtaining a comprehensive stoping position and a comprehensive stoping height corresponding to the comprehensive stoping point according to the first stoping point and the comprehensive stoping point;

and amplifying and acquiring the abnormal image according to the independent stoping position and the independent stoping height or the comprehensive stoping position and the comprehensive stoping height to obtain an amplified image, and establishing a correlation between the amplified image and the corresponding abnormal image.

Optionally, in one possible implementation manner of the first aspect, controlling, based on the collection position, the unmanned aerial vehicle to overlook and collect a white light image and an infrared image corresponding to a photovoltaic panel area of each energy-saving roof, performing segmentation processing on the infrared image to obtain a plurality of comparison images, and sequentially configuring collection numbers for the plurality of comparison images, including:

Determining a point at the same position in the white light image and the infrared image as a coordinate origin, and carrying out coordinate processing on the white light image and the infrared image based on the coordinate origin;

extracting a replacement contour coordinate set corresponding to a plurality of photovoltaic panel frames in the white light image, determining a segmentation contour in the infrared image based on the replacement contour coordinate set, and segmenting the corresponding infrared image according to the segmentation contour to obtain a plurality of comparison images in the infrared image;

numbering the comparison images in the first row in the infrared images according to a first direction, and continuing to sequentially numbering the comparison images in the next row according to a second direction, wherein the first direction is opposite to the second direction;

repeating the steps until the numbering of all the comparison images is completed, and obtaining the acquisition numbers corresponding to the comparison images in the infrared images.

Optionally, in one possible implementation manner of the first aspect, obtaining, according to the illuminance comparison table, a standard pixel interval corresponding to the current illuminance includes:

comparing the current illuminance with a plurality of preset illuminations in the illuminance comparison table, and if the preset illuminance consistent with the current illuminance exists, acquiring a preset pixel interval corresponding to the corresponding preset illuminance as a standard pixel interval;

If the preset illumination consistent with the current illumination does not exist, acquiring two preset illuminations adjacent to the current illumination in the illumination comparison table as reference illuminations, and acquiring a standard pixel interval corresponding to the current illumination according to the reference illuminations and preset pixel intervals corresponding to the reference illuminations.

Optionally, in one possible implementation manner of the first aspect, if there is no preset illuminance consistent with the current illuminance, acquiring two preset illuminations adjacent to the current illuminance in the illuminance comparison table as reference illuminations, and obtaining a standard pixel interval corresponding to the current illuminance according to the reference illuminance and a preset pixel interval corresponding to the reference illuminance, where the acquiring includes:

obtaining a first change value according to the difference value between the two reference illuminances, obtaining the reference illuminance closest to the current illuminance as a reference illuminance, and obtaining a second change value according to the absolute value of the difference value between the reference illuminance and the current illuminance;

and obtaining an adjustment coefficient based on the ratio of the second variation value to the first variation value, and obtaining a standard pixel interval corresponding to the current illuminance according to the adjustment coefficient and a preset pixel interval corresponding to the reference illuminance and the reference illuminance.

Optionally, in one possible implementation manner of the first aspect, obtaining a standard pixel interval corresponding to the current illuminance according to the adjustment coefficient and a preset pixel interval corresponding to the reference illuminance and the reference illuminance includes:

if the current illuminance is greater than the reference illuminance, a first minimum difference value is obtained according to the difference value between the minimum value of the preset pixel interval corresponding to the reference illuminance and the minimum value of the preset pixel interval corresponding to the reference illuminance, and a first maximum difference value is obtained according to the difference value between the maximum value of the preset pixel interval corresponding to the reference illuminance and the maximum value of the preset pixel interval corresponding to the reference illuminance;

obtaining a first adjustment value according to the product of the first minimum difference value and the adjustment coefficient, and obtaining a second adjustment value according to the product of the first maximum difference value and the adjustment coefficient;

summing the minimum value and the first adjustment value of the preset pixel interval corresponding to the reference illuminance to obtain a first interval value, summing the maximum value and the second adjustment value of the preset pixel interval corresponding to the reference illuminance to obtain a second interval value, and obtaining a standard pixel interval corresponding to the current illuminance based on the first interval value and the second interval value;

If the current illuminance is smaller than the reference illuminance, a second minimum difference value is obtained according to the difference value between the minimum value of the preset pixel interval corresponding to the reference illuminance and the minimum value of the preset pixel interval corresponding to the reference illuminance, and a second maximum difference value is obtained according to the difference value between the maximum value of the preset pixel interval corresponding to the reference illuminance and the maximum value of the preset pixel interval corresponding to the reference illuminance;

obtaining a third adjustment value according to the product of the second minimum difference value and the adjustment coefficient, and obtaining a fourth adjustment value according to the product of the second maximum difference value and the adjustment coefficient;

and obtaining a third interval value by carrying out difference between the minimum value of the preset pixel interval corresponding to the reference illuminance and a third adjustment value, obtaining a fourth interval value by carrying out difference between the maximum value of the preset pixel interval corresponding to the reference illuminance and a fourth adjustment value, and obtaining a standard pixel interval corresponding to the current illuminance based on the third interval value and the fourth interval value.

Optionally, in one possible implementation manner of the first aspect, if the number of second stoppoints in the stoped image is equal to 1, processing the first stoping point and the second stoping point according to a first stoping policy to obtain an individual stoping point, and an individual stoping position and an individual stoping height corresponding to the individual stoping point, including:

If the number of the second extraction points in the extraction image is equal to 1, taking the second extraction points as independent extraction points, obtaining second coordinates of the second extraction points, and taking the second coordinates as independent extraction positions of the independent extraction points;

and acquiring a preset acquisition height as an independent extraction height of the independent extraction point, wherein the preset acquisition height is an acquisition height corresponding to one photovoltaic panel.

Optionally, in one possible implementation manner of the first aspect, if the number of first stoppoints in the stoping image is greater than 1, processing the plurality of second stoppoints according to a second stoping policy to obtain at least one comprehensive stoping point, and obtaining, according to the first stoping point and the comprehensive stoping point, a comprehensive stoping position and a comprehensive stoping height corresponding to the comprehensive stoping point, including:

if the number of the first extraction points in the extraction image is greater than 1, traversing the second extraction points in the area corresponding to each row of photovoltaic plates in the extraction image by taking the area corresponding to each row of photovoltaic plates in the extraction image as a unit to obtain a class-I extraction set and/or a class-II extraction set;

the number of the extraction points in the second-class extraction set is 1, and the number of the extraction points in the second-class extraction set is greater than 1;

Determining a second stoping point in the class II stoping set as a comprehensive stoping point, and determining a middle position point between a first second stoping point and a last second stoping point in the class II stoping set as a comprehensive stoping point;

acquiring the comprehensive coordinates of the comprehensive stoping point, and taking the comprehensive coordinates as the comprehensive stoping position of the corresponding comprehensive stoping point;

and determining the comprehensive stoping height of the corresponding comprehensive stoping point according to the first-class stoping set and the second-class stoping set.

Optionally, in one possible implementation manner of the first aspect, traversing, by taking an area corresponding to each row of photovoltaic panels in the stoped image as a unit, a second stope point in the area corresponding to each row of photovoltaic panels in the stoped image to obtain a class one stope set and/or a class two stope set, including:

traversing all other second extraction points positioned in a preset distance of a first row of first second extraction points in the extraction image based on a first direction, and acquiring corresponding second extraction points as a type of extraction set if the other second extraction points are not traversed in the preset distance;

if the second extraction points are traversed to other second extraction points within the preset distance, acquiring all the traversed second extraction points as a second extraction set;

Deleting the first-class stoping set or the second-class stoping set, repeating the steps, and continuously traversing all other second stoping points positioned in a preset distance of a first row of first second stoping points based on a first direction to obtain a next first-class stoping set or a second-class stoping set;

and repeating the steps until the second extraction points in the areas corresponding to all the rows of photovoltaic panels of the extraction image are traversed, and stopping traversing to obtain a first extraction set and/or a second extraction set corresponding to the extraction image.

Optionally, in a possible implementation manner of the first aspect, determining a comprehensive extraction height of a corresponding comprehensive extraction point according to the one-class extraction set and the two-class extraction set includes:

if the comprehensive extraction points correspond to one type of extraction collection, acquiring a preset acquisition height as the comprehensive extraction height corresponding to the corresponding comprehensive extraction point;

if the comprehensive extraction points correspond to the two-class extraction sets, acquiring the farthest distance between the first second extraction point and the last second extraction point in the corresponding two-class set, and acquiring a height adjustment coefficient according to the ratio of the farthest distance to the preset distance;

and obtaining the comprehensive recovery height corresponding to the corresponding comprehensive recovery point based on the product of the height adjustment coefficient and the preset acquisition height.

In a second aspect of the embodiment of the present invention, there is provided an electricity-saving system based on an electric power system, including:

the acquisition module is used for acquiring the acquisition positions of all the energy-saving roofs in the target area, controlling the unmanned aerial vehicle to overlook and acquire white light images and infrared images corresponding to the photovoltaic panel areas of all the energy-saving roofs based on the acquisition positions, dividing the infrared images to obtain a plurality of comparison images, and sequentially configuring acquisition numbers for the plurality of comparison images;

the comparison module is used for obtaining a standard pixel interval corresponding to the current illuminance according to the illuminance comparison table, obtaining comparison pixel values corresponding to the comparison images based on pixel points in the comparison images, and marking the corresponding comparison images as abnormal images if the comparison pixel values are not in the standard pixel interval;

the extraction module is used for acquiring a white light image corresponding to the abnormal image as an extraction image, carrying out coordinated processing on the extraction image, determining an acquisition position corresponding to the extraction image as a first extraction point, and acquiring a center point corresponding to the abnormal image area in each extraction image as a second extraction point;

the independent module is used for processing the first stoping point and the second stoping point according to a first stoping strategy if the number of the second stoping points in the stoping image is equal to 1, so as to obtain an independent stoping point, and an independent stoping position and an independent stoping height corresponding to the independent stoping point;

The comprehensive module is used for processing the plurality of second stoping points according to a second stoping strategy to obtain at least one comprehensive stoping point if the number of the second stoping points in the stoping image is larger than 1, and obtaining a comprehensive stoping position and a comprehensive stoping height corresponding to the comprehensive stoping point according to the first stoping point and the comprehensive stoping point;

and the association module is used for amplifying and acquiring the abnormal image according to the independent stoping position and the independent stoping height or the comprehensive stoping position and the comprehensive stoping height to obtain an amplified image, and establishing association between the amplified image and the corresponding abnormal image.

The beneficial effects of the invention are as follows:

1. according to the invention, the photovoltaic panels with faults in a plurality of groups of photovoltaic modules can be determined through the white light images and the infrared images acquired by the unmanned aerial vehicle, the abnormal photovoltaic panels can be found out in time and processed correspondingly, and the loss of electric energy is reduced. When determining the photovoltaic panels with faults in a plurality of groups of photovoltaic modules, the invention firstly uses the outline corresponding to the photovoltaic panel frame in the white light image to divide the corresponding area of the corresponding photovoltaic panel in the infrared image to obtain a plurality of comparison images, so that the data compared through the infrared images can be more accurate, and the data accuracy during comparison is improved. The invention judges whether the pixel value corresponding to the comparison image is in the standard pixel interval corresponding to the current illumination through the pixel value and the current illumination corresponding to each comparison image and the illumination comparison table, and takes the photovoltaic panel corresponding to the comparison image which is not in the standard pixel interval as an abnormal photovoltaic panel, so that the abnormal photovoltaic panel can be determined in a plurality of photovoltaic panels, further image acquisition can be carried out on the corresponding photovoltaic panel in the follow-up process, and the accuracy of data is improved. When data acquisition is carried out, different stoping positions and stoping heights are determined according to the number of stoping points corresponding to the abnormal photovoltaic panel to be acquired in the stoping image, and when refined abnormal data are obtained, combined stoping can be carried out, so that the stoping efficiency is improved, and meanwhile, the data processing amount is reduced.

2. When the standard pixel interval corresponding to the current illuminance is obtained, whether the preset pixel interval corresponding to the current illuminance exists in the illuminance comparison table is judged, when the preset pixel interval exists, the preset pixel interval is directly used as the standard pixel interval for subsequent comparison, and when the preset pixel interval does not exist, one standard pixel interval corresponding to the current illuminance is calculated according to two preset illuminations adjacent to the current illuminance in the illuminance comparison table and used as a reference, so that the standard pixel interval corresponding to the current illuminance can be obtained when the preset pixel interval corresponding to the current illuminance does not exist in the illuminance comparison table, the subsequent comparison step is not interrupted, and the subsequent steps can be continuously completed.

3. The invention divides the stoping positions into two types according to the number of stoping points in the stoping image, wherein the stoping positions are respectively single stoping positions determined when the number of the stoping points is 1, and the comprehensive stoping positions determined when the number of the stoping points is greater than 1, and the corresponding collecting heights are respectively configured for the stoping positions, so that the positions during collecting are more in line with the actual conditions, and the collected data is more accurate. When the number of the extraction points is greater than 1, the invention further classifies the extraction points with the phase distance within the preset distance into one category, classifies one extraction point with the phase distance and other extraction points not within the preset distance into one category, then respectively determines the acquisition position and the acquisition height of the extraction points, uniformly acquires a plurality of adjacent photovoltaic panels, and singly acquires a single photovoltaic panel, thereby ensuring that all refined abnormal data can be obtained and correspondingly reducing the data processing capacity.

Drawings

Fig. 1 is a schematic flow chart of an electricity-saving method based on an electric power system according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of an electricity-saving system based on an electric power system according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1, a flow chart of an electricity-saving method based on an electric power system according to an embodiment of the present invention is shown, and an execution subject of the method shown in fig. 1 may be a software and/or hardware device. The execution bodies of the present application may include, but are not limited to, at least one of: user equipment, network equipment, etc. The user equipment may include, but is not limited to, computers, smart phones, personal digital assistants (Personal Digital Assistant, abbreviated as PDA), and the above-mentioned electronic devices. The network device may include, but is not limited to, a single network server, a server group of multiple network servers, or a cloud of a large number of computers or network servers based on cloud computing, where cloud computing is one of distributed computing, and a super virtual computer consisting of a group of loosely coupled computers. This embodiment is not limited thereto. The method comprises the steps of S101 to S104, and specifically comprises the following steps:

S1, acquiring acquisition positions of all energy-saving roofs in a target area, controlling an unmanned aerial vehicle to overlook and acquire white light images and infrared images corresponding to photovoltaic panel areas of all energy-saving roofs based on the acquisition positions, dividing the infrared images to obtain a plurality of comparison images, and sequentially configuring acquisition numbers for the plurality of comparison images.

In practical application, the photovoltaic panel on the energy-saving roof may be abnormal due to accumulation of plastic bags or dust, so that normal power supply of the photovoltaic panel is affected, so that the abnormal photovoltaic panel on the energy-saving roof can be timely found, corresponding maintenance treatment can be timely carried out on the abnormal photovoltaic panel, loss of electric energy is reduced, an unmanned aerial vehicle can be controlled to collect images of the photovoltaic panel in a photovoltaic panel area on the energy-saving roof, and the abnormal photovoltaic panel is determined through the collected white light images and infrared images.

The unmanned aerial vehicle can collect a plurality of groups of corresponding white light images and infrared images when collecting the white light images and the infrared images, and the collection angles, the collection heights and the like of the unmanned aerial vehicle are corresponding when collecting each group of corresponding white light images and infrared images, so that one-to-one correspondence between each group of white light images and infrared images can be ensured.

It can be understood that, because the photovoltaic panel area obtained in the white light image is relatively accurate, and the photovoltaic panel area obtained in the infrared image may have some interference factors, which is relatively not accurate in the white light image, the invention obtains the area of the photovoltaic panel in the corresponding infrared image through the area of the photovoltaic panel in the white light image, so that the data base according to the subsequent processing can be more accurate.

Specifically, the invention divides the corresponding infrared image according to the white light image, thereby obtaining the comparison image corresponding to each photovoltaic panel in the infrared image, distinguishing each comparison image, and numbering the comparison images.

The specific implementation manner of step S1 based on the above embodiment may be:

s11, determining a point at the same position in the white light image and the infrared image as an origin of coordinates, and carrying out coordinated processing on the white light image and the infrared image based on the origin of coordinates.

When the coordinate origin is selected, the coordinate points positioned in the centers of the white light image and the infrared image can be selected as the coordinate origin, and the coordinate points positioned at the four corners of the white light image and the infrared image can also be selected as the coordinate origin.

S12, extracting a replacement contour coordinate set corresponding to a plurality of photovoltaic panel frames in the white light image, determining a segmentation contour in the infrared image based on the replacement contour coordinate set, and segmenting the corresponding infrared image according to the segmentation contour to obtain a plurality of comparison images in the infrared image.

When determining the segmentation contour in the infrared image based on the replacement contour coordinate set, the pixel points in the replacement contour coordinate set and the pixel points with the same coordinates in the infrared image can be replaced to obtain the segmentation contour in the infrared image, so that the infrared image can be segmented according to the segmentation contour to obtain a plurality of comparison images.

And S13, numbering the comparison images in the first row in the infrared images according to a first direction, and continuing to number the comparison images in the next row according to a second direction, wherein the first direction is opposite to the second direction.

When numbering a plurality of comparison images, the scheme can number each row of comparison images in the infrared images in sequence, for example, if the numbers of the first row are 1 to 10, the numbering is continued from 11 to the back when the next row is numbered.

The first direction and the second direction may be set in advance by the user as needed, for example, the first direction may be set from left to right, the second direction may be set from right to left, or may be set to other needed directions as needed.

S14, repeating the steps until numbering is completed on all the comparison images, and obtaining the acquisition numbers corresponding to the comparison images in the infrared images.

It can be understood that, because the unmanned aerial vehicle may capture multiple sets of white light images and infrared images during acquisition, a class number can be added to each set of white light images and infrared images during numbering, and a class number corresponding to the class number can be added to multiple comparison images in each set of infrared images.

For example, a class number such as A, B, C … may be added to each set of white light images and infrared images, and class numbers such as A1, A2, A3 … may be added to multiple comparison images in each set of infrared images.

S2, obtaining a standard pixel interval corresponding to the current illuminance according to the illuminance comparison table, obtaining comparison pixel values corresponding to the comparison images based on pixel points in the comparison images, and marking the corresponding comparison images as abnormal images if the comparison pixel values are not in the standard pixel interval.

After obtaining a plurality of comparison images in the infrared image, namely, the area image corresponding to each photovoltaic panel in the infrared image, the invention further judges that the comparison pixel value corresponding to each comparison image is not in the standard pixel value interval, if not, the photovoltaic panel corresponding to the comparison image is possibly abnormal, so the comparison image can be used as an abnormal image, thereby controlling the unmanned aerial vehicle to further acquire the corresponding photovoltaic panel in the follow-up process, improving the accuracy in the image acquisition, and the scheme of further acquisition is not specifically explained in the follow-up process.

In practical application, when the illuminance comparison table is generated, a plurality of preset illuminations can be set first, then the standard pixel value corresponding to the photovoltaic panel under each preset illuminance is obtained, and then the standard pixel value is offset through the offset value set by the user, so that the preset pixel value interval corresponding to each preset illuminance is obtained, the error in subsequent comparison can be correspondingly reduced through the interval generated by the offset value, and the accuracy in comparison is improved.

It should be noted that, in the above embodiment, the pixel value may be a brightness value, and the higher the illuminance is, the higher the temperature of the photovoltaic panel is, and the brighter the corresponding pixel point in the infrared image is, so that the larger the pixel value is.

In some embodiments, the comparison pixel value corresponding to the comparison image may be obtained by comparing the average value of all the pixel points in the image.

The specific implementation manner in step S2 (obtaining the standard pixel interval corresponding to the current illuminance according to the illuminance comparison table) may be:

s21, comparing the current illuminance with a plurality of preset illuminations in the illuminance comparison table, and if the preset illuminance consistent with the current illuminance exists, acquiring a preset pixel interval corresponding to the corresponding preset illuminance as a standard pixel interval.

When the preset illuminance consistent with the current illuminance exists in the illuminance comparison table, the preset pixel interval corresponding to the corresponding preset illuminance can be directly used as the standard pixel interval.

S22, if the preset illumination consistent with the current illumination does not exist, acquiring two preset illuminations adjacent to the current illumination in the illumination comparison table as reference illuminations, and acquiring a standard pixel interval corresponding to the current illumination according to the reference illuminations and the preset pixel interval corresponding to the reference illuminations.

When the preset illuminance consistent with the current illuminance does not exist in the illuminance comparison table, a standard pixel interval corresponding to the current illuminance can be obtained as a reference through the following steps:

S221, obtaining a first change value according to the difference value between the two reference illuminances, obtaining the reference illuminance closest to the current illuminance as the reference illuminance, and obtaining a second change value according to the absolute value of the difference value between the reference illuminance and the current illuminance.

It can be understood that when the illuminance is larger, the temperature of the photovoltaic panel is higher, and the corresponding pixel point in the infrared image is brighter, so that the pixel value is larger, therefore, when the preset illuminance consistent with the current illuminance does not exist in the illuminance comparison table, the standard pixel interval corresponding to the current illuminance can be calculated according to the preset illuminance adjacent to the current illuminance in the illuminance comparison table.

The illuminance comparison table has an illuminance minimum value and an illuminance maximum value, and the current illuminance needs to be between the illuminance minimum value and the illuminance maximum value.

Specifically, the invention obtains the change value between the two reference illuminations according to the difference value between the two reference illuminations, and then obtains the corresponding change value according to the absolute value of the difference value between the reference illuminance closest to the current illuminance and the current illuminance, so that the error in the subsequent calculation can be correspondingly reduced.

For example, if the reference illuminance with a small value is closer to the current illuminance, it is taken as the reference illuminance, and if the reference illuminance with a large value is closer to the current illuminance, it is taken as the reference illuminance.

S222, obtaining an adjustment coefficient based on the ratio of the second change value to the first change value, and obtaining a standard pixel interval corresponding to the current illuminance according to the adjustment coefficient and a preset pixel interval corresponding to the reference illuminance and the reference illuminance.

The step S222 specifically includes steps A1 to A6:

a1, if the current illuminance is greater than the reference illuminance, obtaining a first minimum difference value according to a difference value between a minimum value of a preset pixel interval corresponding to the reference illuminance and a minimum value of a preset pixel interval corresponding to the reference illuminance, and obtaining a first maximum difference value according to a difference value between a maximum value of the preset pixel interval corresponding to the reference illuminance and a maximum value of the preset pixel interval corresponding to the reference illuminance.

It is understood that when the current illuminance is greater than the reference illuminance, the reference illuminance is smaller than the reference illuminance, and thus, when calculating the variation value between the reference illuminance and the reference illuminance, the corresponding calculation may be performed by the difference between the reference illuminance and the preset pixel interval corresponding to the reference illuminance.

A2, obtaining a first adjustment value according to the product of the first minimum difference value and the adjustment coefficient, and obtaining a second adjustment value according to the product of the first maximum difference value and the adjustment coefficient.

And obtaining a first adjustment value and a second adjustment value of the current illuminance between the reference illuminance and the reference illuminance under the condition according to the product of the adjustment coefficient and the difference value between the minimum value and the maximum value of the pixel setting interval corresponding to the reference illuminance and the reference illuminance.

A3, summing the minimum value of the preset pixel interval corresponding to the reference illuminance and the first adjustment value to obtain a first interval value, summing the maximum value of the preset pixel interval corresponding to the reference illuminance and the second adjustment value to obtain a second interval value, and obtaining a standard pixel interval corresponding to the current illuminance based on the first interval value and the second interval value.

It can be understood that, since the reference illuminance is smaller than the current illuminance, when the standard pixel interval corresponding to the current illuminance is calculated with the reference illuminance as the reference, the present invention sums the interval values and the adjustment values at both ends of the pixel interval corresponding to the reference illuminance to calculate the interval values.

And A4, if the current illuminance is smaller than the reference illuminance, obtaining a second minimum difference value according to the difference value between the minimum value of the preset pixel interval corresponding to the reference illuminance and the minimum value of the preset pixel interval corresponding to the reference illuminance, and obtaining a second maximum difference value according to the difference value between the maximum value of the preset pixel interval corresponding to the reference illuminance and the maximum value of the preset pixel interval corresponding to the reference illuminance.

When the current illuminance is smaller than the reference illuminance, the reference illuminance is larger than the reference illuminance, so that when the change value between the reference illuminance and the reference illuminance is calculated, corresponding calculation can be performed through the difference value between preset pixel intervals corresponding to the reference illuminance and the reference illuminance.

A5, obtaining a third adjustment value according to the product of the second minimum difference value and the adjustment coefficient, and obtaining a fourth adjustment value according to the product of the second maximum difference value and the adjustment coefficient.

Similarly, the third adjustment value and the fourth adjustment value of the current illuminance between the reference illuminance and the reference illuminance in the above case may be obtained according to the product of the adjustment coefficient and the difference between the minimum value and the maximum value of the set pixel interval corresponding to the reference illuminance and the reference illuminance.

And A6, performing difference between the minimum value of the preset pixel interval corresponding to the reference illuminance and a third adjustment value to obtain a third interval value, performing difference between the maximum value of the preset pixel interval corresponding to the reference illuminance and a fourth adjustment value to obtain a fourth interval value, and obtaining a standard pixel interval corresponding to the current illuminance based on the third interval value and the fourth interval value.

It can be understood that, since the reference illuminance is greater than the current illuminance, when the standard pixel interval corresponding to the current illuminance is calculated with the reference illuminance as the reference, the present invention calculates the difference between the interval value and the adjustment value at both ends of the pixel interval corresponding to the reference illuminance.

Through the mode, the standard pixel interval corresponding to the current illuminance can be obtained, errors in subsequent comparison are reduced, and accuracy in comparison is improved.

S3, acquiring a white light image corresponding to the abnormal image as a stoping image, carrying out coordinated processing on the stoping image, determining an acquisition position corresponding to the stoping image as a first stoping point, and acquiring a center point corresponding to the abnormal image area in each stoping image as a second stoping point.

Furthermore, in order to make the obtained data more accurate, the invention can further acquire images of the photovoltaic panel with the abnormality.

Specifically, the method and the device can firstly acquire the white light image corresponding to the infrared image with the abnormal image as the extraction image, then determine the first extraction point corresponding to the acquisition position and the second extraction point corresponding to the abnormal image in the extraction image, then acquire the position point and the height of the unmanned aerial vehicle for further acquisition according to the first extraction point and the second extraction point in the subsequent steps, and acquire the image corresponding to the abnormal photovoltaic panel.

And S4, if the number of the second stoping points in the stoping image is equal to 1, processing the first stoping points and the second stoping points according to a first stoping strategy to obtain independent stoping points, and independent stoping positions and independent stoping heights corresponding to the independent stoping points.

If the number of the second extraction points in the extraction image is equal to 1, it is indicated that only one photovoltaic panel may be abnormal in the extraction image, and in this case, the corresponding photovoltaic panel may be separately acquired through the separate extraction points and the separate extraction heights.

Specifically, step S4 includes steps S41 to S42:

and S41, if the number of the second stoping points in the stoping image is equal to 1, taking the second stoping points as independent stoping points, carrying out coordinated processing on the stoping image, obtaining second coordinates of the second stoping points, and taking the second coordinates as independent stoping positions of the independent stoping points.

It can be understood that, since the first extraction point and the second extraction point in the extraction image can be determined, the second coordinate of the second extraction point can be obtained through the coordinated processing of the extraction image, and the second coordinate of the second extraction point is used as the single extraction position of the single extraction point.

It is worth mentioning that when controlling unmanned aerial vehicle to arrive alone stoping position, need control unmanned aerial vehicle flight to the position department of the first stoping point of corresponding stoping image earlier, the position of first stoping point can record when unmanned aerial vehicle carries out first collection, after flight to the position department of first stoping point, can fly to alone stoping position of alone stoping point according to the second coordinate of corresponding stoping image.

S42, acquiring a preset acquisition height as an independent extraction height of the independent extraction point, wherein the preset acquisition height is an acquisition height corresponding to one photovoltaic panel.

Under the above conditions, only one photovoltaic panel needs to be imaged, so that the preset acquisition height can be directly called to acquire the height when acquiring the height during acquisition.

By the method, when one abnormal photovoltaic panel exists, the corresponding abnormal photovoltaic panel can be subjected to image amplification and acquisition, so that the obtained image data can be more accurate.

S5, if the number of the second stoping points in the stoping image is larger than 1, processing the second stoping points according to a second stoping strategy to obtain at least one comprehensive stoping point, and obtaining the comprehensive stoping position and the comprehensive stoping height corresponding to the comprehensive stoping point according to the first stoping point and the comprehensive stoping point.

If the number of the second extraction points in the extraction image is greater than 1, it is indicated that there may be a plurality of photovoltaic panels in the extraction image that are abnormal, and in this case, the corresponding photovoltaic panels may be comprehensively collected through the comprehensive extraction points and the comprehensive extraction height.

Specifically, step S5 includes steps S51 to S55:

And S51, if the number of the first extraction points in the extraction image is greater than 1, traversing the second extraction points in the area corresponding to each row of photovoltaic plates in the extraction image by taking the area corresponding to each row of photovoltaic plates in the extraction image as a unit, so as to obtain a class-I extraction set and/or a class-II extraction set.

For example, if there are 3 rows of photovoltaic panels in the extracted image, the first row of photovoltaic panels may be traversed first and then the remaining two rows of photovoltaic panels may be traversed sequentially.

In some embodiments, the above-described one-class and/or two-class recovery sets may be obtained by:

s511, traversing all other second extraction points located in a preset distance of a first row of first second extraction points in the extraction image based on the first direction, and acquiring corresponding second extraction points as a type of extraction collection if the other second extraction points are not traversed in the preset distance.

It will be appreciated that if no other second recovery points exist within the predetermined distance, it is indicated that the corresponding second recovery points may not be adjacent to other second recovery points, and thus in this case, the corresponding second recovery points may be taken as a type of recovery collection, which is subsequently collected separately.

And S512, if the second extraction points are traversed to other second extraction points within the preset distance, acquiring all the traversed second extraction points as a second extraction set.

If other second recovery points exist within the preset distance, the corresponding second recovery points may exist other second recovery points adjacent to the corresponding second recovery points, and the distance between the corresponding second recovery points and the second recovery points is relatively short, so that in this case, the corresponding second recovery set can be used as a second class recovery set, and then unified collection can be performed on the second class recovery set.

S513, deleting the first-class stoping set or the second-class stoping set, repeating the steps, and continuously traversing all other second stoping points located in the preset distance of the first second stoping points of the first row based on the first direction to obtain the next first-class stoping set or the second-class stoping set.

Further, after the first extraction set or the second extraction set is obtained, the first extraction set or the second extraction set can be deleted, and the next corresponding first extraction set or second extraction set can be obtained, wherein the obtaining mode is the same as the above mode, and no description is given here.

And S514, repeating the steps until the second extraction points in the areas corresponding to all the rows of photovoltaic panels of the extraction image are traversed, and stopping traversing to obtain a first extraction set and/or a second extraction set corresponding to the extraction image.

When the first-row one-class extraction set and/or the second-class extraction set are acquired, the next-row one-class extraction set and/or the second-class extraction set corresponding to the next row can be continuously acquired by taking the next-row photovoltaic panel as a unit, the acquisition can be stopped until all the photovoltaic panels are traversed, and the one-class extraction set and/or the second-class extraction set corresponding to the extraction image can be obtained.

S52, wherein the number of the extraction points in the extraction collection of the class is 1, and the number of the extraction points in the extraction collection of the class is greater than 1.

The number of the extraction points corresponds to the number of the abnormal photovoltaic panels, so that the number of the extraction points in one type of extraction set is 1, and the number of the extraction points in the second type of extraction set is greater than 1.

And S53, determining a second stoping point in the class II stoping set as a comprehensive stoping point, and determining an intermediate position point between a first second stoping point and a last second stoping point in the class II stoping set as the comprehensive stoping point.

It can be understood that only one second extraction point is included in the first extraction set, so that the second extraction point can be used as a comprehensive extraction point to perform corresponding collection when the abnormal photovoltaic panel corresponding to the first extraction set is collected, and a plurality of second extraction points are included in the second extraction set, so that in order to collect a plurality of abnormal photovoltaic panels in the second extraction set at the same time, the middle position point between the first second extraction point and the last second extraction point can be taken as the comprehensive extraction point to perform corresponding collection.

It should be noted that, when the plurality of second extraction points corresponding to the second extraction set are acquired, the acquisition may be performed according to a traversal order, for example, the traversed first second extraction point is used as the first second extraction point in the set, the second extraction point is used as the second extraction point in the set, and so on.

S54, acquiring the comprehensive coordinates of the comprehensive stoping point, and taking the comprehensive coordinates as the comprehensive stoping position of the corresponding comprehensive stoping point.

For the comprehensive stoping points of a stoping set, only one comprehensive stoping point is adopted, so that the scheme can directly take the coordinates of the corresponding second stoping point as the comprehensive stoping position of the corresponding comprehensive stoping point.

For the comprehensive stoping points of the two-class stoping set, as the number of the comprehensive stoping points is multiple, the scheme needs to acquire the coordinates of the first second stoping point and the coordinates of the last second stoping point in the two-class stoping set, and then calculate the intermediate coordinates between the two coordinates as the comprehensive stoping positions of the corresponding comprehensive stoping points.

S55, determining the comprehensive extraction height of the corresponding comprehensive extraction point according to the first extraction set and the second extraction set.

Specifically, the comprehensive recovery height of the corresponding comprehensive recovery point can be obtained by the following steps:

and S551, if the comprehensive stoping point corresponds to a stoping set, acquiring a preset acquisition height as the comprehensive stoping height corresponding to the corresponding comprehensive stoping point.

If the comprehensive extraction points correspond to one type of extraction collection, the method indicates that the extraction collection is also used for independently collecting the corresponding abnormal photovoltaic panel, so that the preset collection height can be used as the comprehensive extraction height corresponding to the corresponding comprehensive extraction points.

S552, if the comprehensive extraction points correspond to the two-class extraction sets, the farthest distance between the first second extraction point and the last second extraction point in the corresponding two-class set is obtained, and the height adjustment coefficient is obtained according to the ratio of the farthest distance to the preset distance.

If the comprehensive extraction point corresponds to the second-class extraction set, the method indicates that the method needs to collect a plurality of corresponding abnormal photovoltaic panels, so that the corresponding height of the method needs to be adjusted correspondingly during collection.

When the farthest distance between the first second extraction point and the last second extraction point in the second class set is longer, the corresponding acquisition height of the second class set can be correspondingly increased, so that an unmanned aerial vehicle can shoot all corresponding abnormal photovoltaic panels, the second class set can be generated through the ratio of the farthest distance to the preset distance when the height adjustment coefficient is generated, and the corresponding acquisition height can be higher through the height adjustment coefficient when the farthest distance is longer.

S553, obtaining the comprehensive recovery height corresponding to the corresponding comprehensive recovery point based on the product of the height adjustment coefficient and the preset acquisition height.

After the height adjustment coefficient is obtained, the corresponding comprehensive recovery height can be obtained by multiplying the height adjustment coefficient by the preset acquisition height.

By the mode, different acquisition positions and acquisition heights can be configured for the abnormal photovoltaic panels under different conditions, and the combined stoping can be performed while the refined abnormal data are obtained, so that the stoping efficiency is improved and the data processing amount is reduced.

S6, amplifying and collecting the abnormal image according to the independent extraction position and the independent extraction height or the comprehensive extraction position and the comprehensive extraction height to obtain an amplified image, and establishing association between the amplified image and the corresponding abnormal image.

After the independent stoping position and the independent stoping height or the comprehensive stoping position and the comprehensive stoping height are obtained, the unmanned aerial vehicle can be controlled to go to corresponding position points to carry out corresponding amplification collection on corresponding abnormal photovoltaic panels, and the collected images and the corresponding abnormal photovoltaic panels can be subjected to one-to-one correspondence during collection, so that workers can know the photovoltaic panels with specific abnormality and the amplified image data of the corresponding photovoltaic panels, corresponding processing can be carried out on the corresponding photovoltaic panels through the amplified image data, and the loss of electric energy is reduced.

Referring to fig. 2, a schematic structural diagram of an electricity-saving system based on an electric power system according to an embodiment of the present invention includes:

The apparatus of the embodiment shown in fig. 2 may be correspondingly used to perform the steps in the embodiment of the method shown in fig. 1, and the implementation principle and technical effects are similar, and are not repeated here.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims

1. An electricity-saving method based on an electric power system is characterized by comprising the following steps:

If the number of the second stoping points in the stoping image is greater than 1, processing the second stoping points according to a second stoping strategy to obtain at least one comprehensive stoping point, and obtaining a comprehensive stoping position and a comprehensive stoping height corresponding to the comprehensive stoping point according to the comprehensive stoping point;

amplifying and collecting the abnormal image according to the independent extraction position and the independent extraction height or the comprehensive extraction position and the comprehensive extraction height to obtain an amplified image, and establishing a correlation between the amplified image and the corresponding abnormal image;

if the number of the second stoping points in the stoping image is equal to 1, processing the first stoping points and the second stoping points according to a first stoping strategy to obtain individual stoping points, and the individual stoping positions and the individual stoping heights corresponding to the individual stoping points, including:

acquiring a preset acquisition height as an independent extraction height of the independent extraction point, wherein the preset acquisition height is an acquisition height corresponding to one photovoltaic panel;

If the number of the second stoping points in the stoping image is greater than 1, processing the plurality of second stoping points according to a second stoping strategy to obtain at least one comprehensive stoping point, and obtaining a comprehensive stoping position and a comprehensive stoping height corresponding to the comprehensive stoping point according to the comprehensive stoping point, wherein the method comprises the following steps:

determining the comprehensive stoping height of the corresponding comprehensive stoping point according to the first-class stoping set and the second-class stoping set;

Traversing second extraction points in the area corresponding to each row of photovoltaic panels in the extraction image by taking the area corresponding to each row of photovoltaic panels in the extraction image as a unit to obtain a first extraction set and/or a second extraction set, wherein the first extraction set and/or the second extraction set comprise:

arranging second extraction points of the first row of photovoltaic panels in the extraction image based on a first direction to obtain an extraction point traversal sequence;

traversing other second extraction points which are located in a preset distance of the first second extraction point in the extraction point traversing sequence, and acquiring corresponding second extraction points as a type of extraction set if the other second extraction points are not traversed in the preset distance;

the first extraction set or the second extraction set is stored and then used for determining comprehensive extraction points, the first extraction set or the second extraction set is emptied, and the step of obtaining the first extraction set or the second extraction set is repeated until all second extraction points in the extraction point traversing sequence are traversed, and the step of obtaining the first extraction set or the second extraction set corresponding to the first row of photovoltaic panels is stopped;

Continuing to arrange second extraction points of a next row of photovoltaic panels in the extraction image based on the first direction to obtain a next extraction point traversal sequence;

repeating the steps of obtaining the first-class extraction set and/or the second-class extraction set corresponding to the corresponding row of photovoltaic panels until all the first-class extraction set and/or the second-class extraction set corresponding to all the row of photovoltaic panels are obtained;

determining the comprehensive stoping height of the corresponding comprehensive stoping point according to the class-II stoping set and the class-II stoping set comprises the following steps:

2. The method of claim 1, wherein the step of determining the position of the substrate comprises,

based on the acquisition position control unmanned aerial vehicle overlook and gather white light image and infrared image that each energy-conserving roof's photovoltaic board region corresponds, carry out the segmentation processing to the infrared image, obtain a plurality of comparison images to dispose the acquisition serial number in proper order to a plurality of comparison images in proper order, include:

3. The method of claim 2, wherein the step of determining the position of the substrate comprises,

obtaining a standard pixel interval corresponding to the current illuminance according to the illuminance comparison table, including:

4. The method of claim 3, wherein the step of,

if the preset illumination consistent with the current illumination does not exist, acquiring two preset illuminations adjacent to the current illumination in the illumination comparison table as reference illuminations, and obtaining a standard pixel interval corresponding to the current illumination according to the reference illuminance and a preset pixel interval corresponding to the reference illuminance, wherein the standard pixel interval comprises the following steps:

5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,

obtaining a standard pixel interval corresponding to the current illuminance according to the adjustment coefficient and a preset pixel interval corresponding to the reference illuminance, including:

6. An electric energy saving system based on an electric power system, comprising:

the comprehensive module is used for processing the plurality of second stoping points according to a second stoping strategy to obtain at least one comprehensive stoping point if the number of the second stoping points in the stoping image is more than 1, and obtaining a comprehensive stoping position and a comprehensive stoping height corresponding to the comprehensive stoping point according to the comprehensive stoping point;

The association module is used for amplifying and collecting the abnormal image according to the independent stoping position and the independent stoping height or the comprehensive stoping position and the comprehensive stoping height to obtain an amplified image, and establishing association between the amplified image and the corresponding abnormal image;