A method for adjusting the power of a fill light, a mechanical property testing device and a system

Abstract

The present invention discloses a method for adjusting the power of a fill light, a mechanical property testing device and a system, and relates to the technical field of high-voltage switchgear test detection, including: S1: Under the initial fill light condition, photograph a target photo with a reflective mark; S2: Process and analyze the target photo based on the Harris operator, and extract the coordinates of the reflective mark corner points in the target photo; S3: Compare the coordinates of the reflective mark corner points with the pre-stored correct corner point coordinates to determine whether the reflective mark image is clear; S4: If the reflective mark image is not clear, calculate the average gray value of the reflective mark area, and adjust the power of the fill light according to the average gray value. By performing algorithmic processing on the image to improve the clarity of the reflective mark image, and dynamically adjusting the power of the fill light to adapt to different ambient lighting conditions, the clarity and accuracy of the reflective mark during the mechanical property test are ensured, thereby improving the accuracy and reliability of the test.

Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage switchgear testing and detection, and in particular to a fill light power adjustment method, a mechanical property testing device and a system. Background Art

[0002] High-voltage switchgear is an important protection and control device in the power system, which affects the stable operation of the power system. One of the main reasons for the failure of high-voltage switches is the mechanical failure of the circuit breaker, and the contact travel of the high-voltage circuit breaker can directly reflect the operating status of the circuit breaker, that is, the mechanical characteristics. In the maintenance of high-voltage switchgear, the mechanical characteristics test results are an important test to evaluate the status of high-voltage circuit breaker equipment.

[0003] Most of the existing high-voltage switch mechanical characteristic test devices use contact sensors to measure the motion characteristics of the operating mechanism. These methods often require the installation of sensors on the high-voltage switch equipment, which sometimes does not meet the requirements of on-site measurement. With the development of high-speed photography technology, the method of using a high-speed camera to shoot the reflective marks on the pull rod of the operating mechanism of the high-voltage switch equipment, and then forming a stroke curve through image recognition and calculation has gradually matured. However, when the lighting conditions are poor, the shooting clarity of the reflective markers set on the high-voltage switch operating mechanism is limited, which directly affects the accuracy of the test results. Existing fill light solutions often use a fixed-power fill light, which cannot be adjusted in real time according to the shooting conditions, resulting in poor fill light effect or unnecessary reflective interference. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above-mentioned problems existing in the existing flue gas desulfurization efficiency improvement device without the ability to increase the tower, the present invention is proposed.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for adjusting the power of a fill light, comprising:

[0007] S1: Under the initial fill light condition, take a photo of the target with reflective markings;

[0008] S2: Processing and analyzing the target photo based on the Harris operator to extract the coordinates of the reflective mark corner points in the target photo;

[0009] S3: Compare the coordinates of the reflective mark corner points with the pre-stored correct corner point coordinates to determine whether the reflective mark image is clear;

[0010] S4: If the reflective mark image is not clear, calculate the average gray value of the reflective mark area, and adjust the power of the fill light according to the average gray value;

[0011] S5: After the power of the fill light is adjusted, a new photo is taken as a new target photo, and steps S2 to S5 are repeated until a clear reflective mark image is obtained.

[0012] As a preferred solution of the method for adjusting the power of the fill light of the present invention, in step S2, the specific steps of processing and analyzing the target photo based on the Harris operator and extracting the coordinates of the reflective mark corner points in the target photo include:

[0013] S21: reading the target photo, performing image binarization processing on the target photo, converting the target photo into a grayscale image, and performing Gaussian blur on the grayscale image to reduce noise and highlight image features;

[0014] S22: Calculating the horizontal and vertical gradients of the grayscale image by using a Sobel operator to capture edge information in the image;

[0015] Among them, the calculation formulas for the horizontal gradient and vertical gradient of the grayscale image are:

[0016]

[0017] Where I is the input grayscale image, G x I and G y I represents the horizontal and vertical gradients of the grayscale image respectively.

[0018] As a preferred solution of the method for adjusting the power of the fill light of the present invention, in step S2, the specific step of processing and analyzing the target photo based on the Harris operator and extracting the coordinates of the reflective mark corner points in the target photo also includes:

[0019] S23: for each pixel in the grayscale image, calculate the Harris matrix M and the response value R, select a suitable threshold, and retain the area containing the corner point;

[0020] Among them, the calculation formula of Harris matrix M is:

[0021]

[0022] The calculation formula of Harris response value R is: R = det(M)-k(trace(M)) 2 ;

[0023] Where det(M) is the determinant of the matrix M, trace(M) is the trace of the matrix M, and k is an empirical constant with a value of 0.04 to 0.06.

[0024] S24: Perform non-maximum suppression processing on the obtained corner point area, select a suitable threshold, retain the area whose Harris response value exceeds the threshold as the corner point candidate area, and for each corner point candidate area, check whether it has the largest Harris response value in its local neighborhood to determine the final corner point position.

[0025] As a preferred solution of the method for adjusting the power of the fill light of the present invention, in step S3, the specific steps of comparing the coordinates of the corner points of the reflective mark with the pre-stored correct corner point coordinates to determine whether the image of the reflective mark is clear include:

[0026] S31: Compare the coordinates of the corner points of the reflective mark in the grayscale image with the pre-stored correct corner point coordinates to obtain a coordinate coincidence value;

[0027] S32: Determine whether the coordinate coincidence value is within a set error range;

[0028] S33: Outputting the judgment result. If the judgment result is within the set error range, the image of the reflective mark is considered to be clear; otherwise, the image of the reflective mark is considered to be unclear.

[0029] As a preferred solution of the method for adjusting the power of the fill light of the present invention, in step S4, the specific steps of adjusting the power of the fill light according to the average gray value include:

[0030] S41: Calculate and obtain the average gray value of the reflective mark area in the gray image;

[0031] S42: comparing the average gray value with a preset gray value range;

[0032] S43: Output the comparison result. If the average grayscale value exceeds the preset grayscale value range, the power of the fill light is adjusted to increase or decrease accordingly according to the direction of the exceeding.

[0033] As a preferred solution of the method for adjusting the power of the fill light of the present invention, in step S5, a single adjustment amount of the power of the fill light does not exceed 10% of the total power of the fill light.

[0034] To solve the above technical problems, the present invention also provides the following technical solutions: a mechanical property testing device, comprising a reflective mark attached to an operating mechanism of a mechanical device; a camera assembly for photographing the reflective mark on the operating mechanism; and a fill light for providing necessary lighting conditions for the camera assembly to shoot.

[0035] As a preferred solution of the mechanical property testing device of the present invention, wherein: the reflective mark attached to the operating mechanism on the side of the lens module of the camera assembly has at least one corner point.

[0036] In order to solve the above technical problems, the present invention also provides the following technical solutions: a mechanical property testing system, comprising: an acquisition module, which includes the mechanical property testing device, and the acquisition module is used to obtain photos of the operating mechanism containing the reflective mark; and a control module, which is responsible for the operation and regulation of the test system, including but not limited to the dynamic regulation of the fill light.

[0037] As a preferred solution of the mechanical property testing system described in the present invention, it also includes: an analysis module, which is used to perform data processing on the collected photos, extract key marking points, analyze the clarity of the photos based on the extracted key marking points, and feed back the analysis results to the control module to achieve feedback adjustment of the fill light power.

[0038] The beneficial effects of the present invention are as follows: by performing algorithmic processing on images, the clarity of the reflective mark image is improved, and the power of the fill light is dynamically adjusted to adapt to different ambient lighting conditions, thereby ensuring the clarity and accuracy of the reflective mark during the mechanical property test, thereby improving the accuracy and reliability of the test. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0040] Figure 1 The figure is a flow chart of the method for adjusting the power of the fill light of the present invention.

[0041] Figure 2 It is a structural schematic diagram of the mechanical property testing device and system of the present invention.

[0042] Figure 3 It is a schematic diagram of the connection between the operating mechanism pull rod and the reflective mark in the present invention.

[0043] In the figure: 1. Reflective mark; 2. Camera component; 3. Fill light; 4. Collection module; 5. Control module; 6. Analysis module; 7. Operating mechanism; 8. Corner point. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0045] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0046] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0047] Secondly, the present invention is described in detail with reference to the schematic diagram. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0048] The present invention relates to a mechanical property testing device and system, which aims to use image processing technology to detect the state of a device operating mechanism 7, or to perform mechanical property testing of a device switch, so as to ensure the safety of the device or meet the production standards of the device.

[0049] Reference Figure 2 and 3 , shows a first embodiment of the mechanical property testing device of the present invention, such as Figure 2 and 3 As shown, the mechanical property testing device includes a reflective mark 1, a camera assembly 2 and a fill light 3; wherein the reflective mark 1 is a sticker with sticky one side and a reflective film on the other side. When in use, the reflective mark 1 is attached to the operating mechanism 7 of the mechanical equipment; the camera assembly 2 is a high-speed camera with a collection frequency of not less than 5000 frames / s, which is used to shoot the reflective mark 1 on the operating mechanism 7; the fill light 3 provides the necessary lighting conditions for the camera assembly 2 to shoot.

[0050] As an optional embodiment, the reflective mark 1 on the side of the operating mechanism 7 arranged opposite to the lens module of the camera assembly 2 has at least one corner point 8, and the corner point 8 is arranged at a position that can be clearly captured by the camera assembly 2.

[0051] Reference Figure 2 , shows a first embodiment of the mechanical property testing system of the present invention, such as Figure 2As shown, it includes an acquisition module 4, a control module 5 and an analysis module 6; wherein the acquisition module 4 includes the above-mentioned mechanical property testing device, which is used to obtain photos of the operating mechanism 7 containing the reflective mark 1; the control module 5 is responsible for the operation regulation of the test system, including but not limited to the dynamic regulation of the fill light 3; the analysis module 6 is used to perform data processing on the collected photos, extract key marking points, analyze the clarity of the photos based on the extracted key marking points, and feed back the analysis results to the control module 5 to achieve feedback regulation of the power of the fill light 3.

[0052] The present invention also relates to a method for adjusting the power of a fill light, the purpose of which is to ensure that a clear and accurate image can be obtained when photographing a reflective mark on an operating mechanism of a mechanical device.

[0053] Reference Figure 1 , shows the first embodiment of the method for adjusting the power of the fill light of the present invention, and the specific steps include: S1: Under the initial fill light condition, take a photo of the target with the reflective mark. That is, use the above-mentioned shooting component to take a photo of the reflective mark on the control mechanism of the mechanical equipment under the initial output power of the fill light to obtain the initial image data.

[0054] It is worth noting that when taking the initial image data, the ambient lighting conditions during shooting should be determined and recorded first. According to the lighting conditions, the exposure time and ISO parameters of the shooting components should be appropriately adjusted to ensure that the photos are neither overexposed nor underexposed.

[0055] S2: Process and analyze the target photo based on the Harris operator to extract the coordinates of the reflective mark corner points in the target photo.

[0056] The specific steps include: S21: reading the target photo, performing image binarization processing on the target photo, converting the target photo into a grayscale image, and performing Gaussian blur on the grayscale image. Through the above processing, the noise and irrelevant visual information in the image can be effectively reduced to highlight the image features, that is, the features of the edge corners in the image can be made more prominent.

[0057] S22: Calculate the horizontal and vertical gradients of the grayscale image using a Sobel operator to help determine the direction and magnitude of brightness changes in the image, so as to capture edge information in the image.

[0058] Specifically, the calculation formulas for the horizontal gradient and vertical gradient of the grayscale image are:

[0059]

[0060] Where I is the input grayscale image, G x I and G yI represents the horizontal and vertical gradients of the grayscale image respectively.

[0061] S23: for each pixel in the grayscale image, calculate the Harris matrix M and the response value R, select a suitable threshold, and retain the area containing the corner point;

[0062] Among them, the calculation formula of Harris matrix M is:

[0063]

[0064] The calculation formula of Harris response value R is: R = det(M)-k(trace(M)) 2 ;

[0065] Where det(M) is the determinant of matrix M, trace(M) is the trace of matrix M, and k is an empirical constant with a value of 0.04 to 0.06. The Harris matrix M integrates the gradient information of the image, and the response value R further evaluates the strength of the corner point through the matrix M, thereby identifying the potential corner point area in the image. That is, by calculating the Harris matrix M and the response value R, the possibility of each pixel becoming a corner point can be quantified.

[0066] S24: Perform non-maximum suppression processing on the obtained corner point regions to screen out the most significant corner points. Specifically, select a suitable threshold, retain the regions whose Harris response values ​​R exceed the threshold as candidate corner point regions, and for each candidate corner point region, check whether it has the largest Harris response value in its local neighborhood to determine the final corner point position.

[0067] In step S24, by comparing the local neighborhood of each corner point candidate area, only the point with the local maximum value is retained as the final corner point, which helps to reduce false detection and ensures that the final corner point is the most representative and significant.

[0068] S3: Compare the coordinates of the reflective mark corner points with the pre-stored correct corner point coordinates to determine whether the reflective mark image is clear.

[0069] The specific steps include: S31: comparing the coordinates of the corner points of the reflective mark in the grayscale image with the pre-stored correct corner point coordinates to obtain the coordinate coincidence value.

[0070] S32: Determine whether the coordinate coincidence value is within a set error range.

[0071] S33: Output the judgment result. If it is within the set error range, the reflective mark image is considered clear; otherwise, the reflective mark image is considered unclear. Specifically, if the number of corner points identified in the image is 5 (the same as the set number of corner points), and the relative values ​​of the coordinates of the 5 identified corner points and the set corner point coordinates are within the set error range, it is determined that the fill light power under this condition is appropriate, the shooting conditions are met, and the mechanical characteristics test can be carried out.

[0072] If the number of identified corner points is not equal to 5 (i.e., the same as the set number of corner points), or the number of identified corner points is 5, but more than half of the coordinates of the 5 identified corner points exceed the range of the set relative values ​​of the corner point coordinates, it is determined that the fill light power under this condition is inappropriate, the shooting conditions are not met, and the mechanical properties test cannot be carried out.

[0073] S4: If the reflective mark image is not clear, calculate the average gray value of the reflective mark area, and adjust the power of the fill light according to the average gray value.

[0074] The specific steps include: S41: calculating and obtaining the average gray value of the reflective mark area in the gray image.

[0075] S42: Compare the average grayscale value with the preset grayscale value range. It is determined that when the calculated average grayscale value of the reflective mark area is between 192-233, the recognition effect of the reflective mark is the best, and the most accurate mechanical characteristic curve can be obtained. If the grayscale value of the reflective mark area is greater than 234, it is considered that the current fill light power is too high (too bright), and when it is less than 191, it is considered that the fill light power is insufficient (too dark).

[0076] S43: Output the comparison result. If the average grayscale value exceeds the preset grayscale value range, the power of the fill light is adjusted to increase or decrease accordingly according to the direction of the exceeding.

[0077] S5: After the fill light power is adjusted, retake a photo as a new target photo, and repeat steps S2 to S5 until a clear reflective mark image is obtained. Specifically, the single adjustment amount of the fill light power does not exceed 10% of the total power of the fill light, and the fill light power is increased or decreased according to step S4.

[0078] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., the size, scale, structure, shape and proportion of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure of performing the function described herein, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0079] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0080] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for adjusting the power of a fill light, characterized in that: include, S1: Under the initial fill light condition, take a photo of the target with reflective markings; S2: Processing and analyzing the target photo based on the Harris operator to extract the coordinates of the reflective mark corner points in the target photo; S3: Compare the coordinates of the reflective mark corner points with the pre-stored correct corner point coordinates to determine whether the reflective mark image is clear; S4: If the reflective mark image is not clear, calculate the average gray value of the reflective mark area, and adjust the power of the fill light according to the average gray value; S5: After the power of the fill light is adjusted, a new photo is taken as a new target photo, and steps S2 to S4 are repeated until a clear reflective mark image is obtained.

2. The method for adjusting the power of a fill light according to claim 1, wherein: In step S2, the specific steps of processing and analyzing the target photo based on the Harris operator and extracting the coordinates of the reflective mark corner points in the target photo include: S21: reading the target photo, performing image binarization processing on the target photo, converting the target photo into a grayscale image, and performing Gaussian blur on the grayscale image to reduce noise and highlight image features; S22: Calculating the horizontal and vertical gradients of the grayscale image by using a Sobel operator to capture edge information in the image; Among them, the calculation formulas for the horizontal gradient and vertical gradient of the grayscale image are: Where I is the input grayscale image, G x I and G y I represents the horizontal and vertical gradients of the grayscale image respectively.

3. The method for adjusting the power of the fill light according to claim 2, characterized in that: In step S2, the specific step of processing and analyzing the target photo based on the Harris operator to extract the coordinates of the reflective mark corner points in the target photo also includes: S23: for each pixel in the grayscale image, calculate the Harris matrix M and the response value R, select a suitable threshold, and retain the area containing the corner point; Among them, the expression of Harris matrix M is: The calculation formula of Harris response value R is: R = det(M)-k(trace(M)) 2 ; Where det(M) is the determinant of the matrix M, trace(M) is the trace of the matrix M, and k is an empirical constant with a value of 0.04 to 0.

06. S24: Perform non-maximum suppression processing on the obtained corner point area, select a suitable threshold, retain the area whose Harris response value R exceeds the threshold as the corner point candidate area, and for each corner point candidate area, check whether it has the largest Harris response value in its local neighborhood to determine the final corner point position.

4. The method for adjusting the power of a fill light according to claim 3, wherein: In step S3, the specific steps of comparing the reflective mark corner point coordinates with the pre-stored correct corner point coordinates to determine whether the reflective mark image is clear include: S31: Compare the coordinates of the corner points of the reflective mark in the grayscale image with the pre-stored correct corner point coordinates to obtain a coordinate coincidence value; S32: Determine whether the coordinate coincidence value is within a set error range; S33: Outputting the judgment result. If the judgment result is within the set error range, the image of the reflective mark is considered to be clear; otherwise, the image of the reflective mark is considered to be unclear.

5. The method for adjusting the power of the fill light according to claim 4, characterized in that: In step S4, the specific steps of adjusting the power of the fill light according to the average gray value include: S41: Calculate and obtain the average gray value of the reflective mark area in the gray image; S42: comparing the average gray value with a preset gray value range; S43: Output the comparison result. If the average grayscale value exceeds the preset grayscale value range, the power of the fill light is adjusted to increase or decrease accordingly according to the direction of the exceeding.

6. The method for adjusting the power of a fill light according to claim 5, characterized in that: In step S5, a single adjustment amount of the fill light power does not exceed 10% of the total power of the fill light.

7. A mechanical property testing device, characterized in that: include, A reflective marking (1) is attached to an operating mechanism (7) of a mechanical device; A camera assembly (2) for photographing the reflective mark (1) on the operating mechanism (7); and A fill light (3) is used to provide necessary lighting conditions for the camera assembly (2) to take pictures.

8. The mechanical property testing device according to claim 7, characterized in that: The reflective mark (1) attached to the operating mechanism (7) on one side of the lens module of the camera assembly (2) has at least one corner point (8).

9. A mechanical property testing system, characterized in that: include, a collection module (4), comprising the mechanical property testing device according to claim 7 or 8, wherein the collection module (4) is used to obtain a photograph of the operating mechanism (7) containing the reflective mark (1); and The control module (5) is used to be responsible for the operation regulation of the test system, including but not limited to the dynamic regulation of the fill light (3).

10. The mechanical property testing system according to claim 9, characterized in that: Also includes, The analysis module (6) is used to process the collected photos, extract key marking points, analyze the clarity of the photos based on the extracted key marking points, and feed back the analysis results to the control module (5) to implement feedback adjustment of the power of the fill light (3).

Images