Photovoltaic module support bolt looseness detection system

Abstract

The invention provides a photovoltaic module support bolt looseness detection system, and relates to the field of photovoltaic technology, and the system comprises a bolt vibration module which is used for controlling a photovoltaic module bolt to generate resonance to obtain a first sound wave signal; the signal acquisition and analysis module is used for receiving and analyzing the frequency characteristic of the first sound wave signal to obtain a loose bolt detection result; the image drawing module is used for drawing and marking the positions of the loosened bolts in the planar graph of the photovoltaic module bracket; and the visual display module is used for displaying a loose bolt detection result and a component bracket plane graph. The method comprises the following steps: controlling a first acoustic signal generated by resonance of a photovoltaic module bolt by using a setting device; performing frequency characteristic analysis on the first sound wave signal to obtain a loose bolt detection result; and the position of the loose bolt is marked in the drawn component bracket plane graph in combination with the loose bolt detection result, and the loose bolt detection result and the component bracket plane graph are displayed, so that the fastening spot check efficiency and accuracy of the photovoltaic component bolt can be effectively improved.

Description

Technical Field

[0001] The invention relates to the technical field of photovoltaics, and in particular to a photovoltaic component bracket bolt loosening detection system. Background Art

[0002] The tightening inspection of photovoltaic module bolts is a daily inspection item for photovoltaic modules. However, there are a large number of photovoltaic modules in photovoltaic power stations, and the manual inspection mode has a long cycle and low efficiency. In addition, with the vigorous development of the new energy industry, the installed capacity of photovoltaic power stations has continued to increase. The operation and maintenance mode of photovoltaic power stations has gradually shifted to a centralized operation and maintenance mode, and a photovoltaic maintenance team has been established. The management area is large, which makes it difficult to inspect the tightening of photovoltaic module bolts. Therefore, how to quickly and accurately detect the loosening of photovoltaic module bracket bolts and improve the efficiency of photovoltaic module bolt tightening inspections has become one of the current research centers.

[0003] Therefore, the present invention provides a photovoltaic module bracket bolt loosening detection system. Summary of the invention

[0004] The present invention provides a photovoltaic module bracket bolt loosening detection system, which is used for controlling a first sound wave signal generated by resonance of photovoltaic module bolts by using a setting device; performing frequency characteristic analysis on the first sound wave signal to obtain a loose bolt detection result; marking the loose bolt position in a drawn module bracket plan view in combination with the loose bolt detection result, and displaying the loose bolt detection result and the module bracket plan view, which can effectively improve the efficiency and accuracy of the tightness spot check of the photovoltaic module bolts.

[0005] The present invention provides a photovoltaic module bracket bolt loosening detection system, comprising:

[0006] Bolt vibration module: used to control the photovoltaic module bolts to resonate based on the setting device to obtain the first sound wave signal;

[0007] Signal acquisition and analysis module: used to receive the first sound wave signal by using the target sensor array, and obtain the loose bolt detection result based on the frequency characteristic analysis of the first sound wave signal;

[0008] An image drawing module is used to draw a plane diagram of a photovoltaic module support and mark the positions of the loose bolts in the diagram in combination with the loose bolt detection result;

[0009] Visual display module: used to display the loose bolt detection results and component bracket plan in real time.

[0010] Preferably, the bolt vibration module comprises:

[0011] Frequency adjustment unit: used to extract the historical natural frequency range from the bolt frequency range database, taking the current photovoltaic module bracket bolts as the screening condition;

[0012] If there is no historical natural frequency range at present, the initial frequency range of the current photovoltaic module bracket bolts is used as the target frequency range;

[0013] If there is only a single historical natural frequency range, the historical natural frequency range and the initial frequency range are summarized and sorted to obtain a first undetermined frequency range;

[0014] Extracting the minimum frequency value within the first undetermined frequency range, and reducing it according to a set reduction ratio to obtain a first supplementary minimum frequency;

[0015] Extracting the maximum frequency value within the first undetermined frequency range, and amplifying it according to a set amplification ratio to obtain a first supplementary maximum frequency;

[0016] Supplementing the first supplementary minimum frequency and the first supplementary maximum frequency to the first to-be-determined frequency range to obtain a target frequency range;

[0017] If there are multiple historical natural frequency ranges, the historical natural frequency ranges and the initial frequency range are summarized and sorted to obtain a second frequency range to be determined;

[0018] Extracting the historical natural frequency range closest to the current moment within the second undetermined frequency range, and marking it as the analysis frequency range;

[0019] Amplifying the maximum frequency value within the analysis frequency range according to a set amplification ratio to obtain a second supplementary maximum frequency;

[0020] The minimum frequency value within the analysis frequency range is reduced according to a set reduction ratio to obtain a second supplementary minimum frequency;

[0021] Supplementing the second supplementary minimum frequency and the second supplementary maximum frequency to the second to-be-determined frequency range to obtain a target frequency range;

[0022] Automatically adjusting the frequency of the setting device according to the target frequency range;

[0023] Vibration unit: The setting device after frequency adjustment sends out a sound wave signal to stimulate the resonance of the photovoltaic module bracket bolts and generate the first sound wave signal.

[0024] Preferably, the setting device is a high-frequency sound wave generator with adjustable frequency.

[0025] Preferably, the signal acquisition and analysis module includes:

[0026] Data conversion unit: used for the target sensor array to receive the first acoustic wave signal and convert the signal to obtain a first electrical signal;

[0027] A data processing unit: used for filtering and denoising the first electrical signal to obtain a key electrical signal;

[0028] Characteristics analysis unit: used for performing frequency characteristics analysis on the key electrical signal to obtain a first frequency characteristics result;

[0029] Based on the analysis of the first characteristic result, a loose bolt detection result is obtained.

[0030] Preferably, the characteristic analysis unit comprises:

[0031] Curve analysis block: used to perform frequency characteristic analysis on the key electrical signal using a set signal processing algorithm to obtain a first frequency curve;

[0032] calculating a first curve area of ​​the first frequency curve;

[0033] Calculate the curve area of ​​all regular frequency curves of the current photovoltaic module support bolts in the tightened state to obtain the regular curve area;

[0034] The first curve area is combined with the regular curve area for analysis to obtain the first irregularity coefficient;

[0035] Feature analysis block: used to perform frequency characteristic analysis on the key electrical signal using a set signal processing algorithm to obtain a first frequency key feature;

[0036] Obtain the key characteristics of the regular frequency of the current photovoltaic module bracket bolts in the tightened state;

[0037] Compare the first frequency key feature with the obtained regular frequency key feature to establish a frequency comparison feature matrix for each frequency key feature;

[0038] Calculate the eigenvalue of each frequency comparison feature matrix to obtain a first frequency feature comparison value;

[0039] Based on all the obtained first frequency feature comparison values, obtaining a first feature evaluation coefficient;

[0040] Based on all the obtained first frequency feature comparison values, obtaining a first feature evaluation coefficient;

[0041] Among them, the calculation formula of the first characteristic evaluation coefficient is as follows:

[0042] In the formula, represents the first characteristic evaluation coefficient; g j,max It is represented as the maximum value among all first frequency feature comparison values ​​corresponding to the jth first frequency key feature, where j=1, 2, 3, ..., m; m represents the total number of first frequency key features; g j,avgIt is expressed as the mean of all first frequency feature comparison values ​​corresponding to the jth first frequency key feature; It is expressed as the contribution weight of the jth first frequency key feature to the calculation of the first feature evaluation coefficient;

[0043] Looseness detection block: used to determine that the current photovoltaic module bracket bolts are in a tightened state when the first irregularity coefficient is less than the set irregularity threshold and the first characteristic evaluation coefficient is less than the set characteristic evaluation threshold;

[0044] When the first irregularity coefficient is less than the set irregularity threshold, and the first characteristic evaluation coefficient is not less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the looseness is moderate;

[0045] When the first irregularity coefficient is not less than the set irregularity threshold, and the first characteristic evaluation coefficient is less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the looseness is moderate;

[0046] When the first irregularity coefficient is not less than the set irregularity threshold, and the first characteristic evaluation coefficient is not less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the degree of looseness is serious;

[0047] Result generation block: used to summarize the number of all PV panel bracket bolts that are in a loose state, and generate loose bolt detection results based on the location and degree of looseness of each loose bolt.

[0048] Preferably, the calculation formula of the first irregularity coefficient is as follows:

[0049] Where, B1 represents the first irregularity coefficient; l z The slope of the first frequency curve corresponding to the first curve area currently obtained is represented as: i It is represented as the slope of the regular frequency curve corresponding to the area of ​​the i-th regular curve currently obtained; Δq max It is expressed as the maximum absolute difference between the area of ​​all regular curves currently acquired and the area of ​​the first curve; Δq min It is represented by the minimum value of the absolute difference between the area of ​​all regular curves currently acquired and the area of ​​the first curve; q z It is represented by the area of ​​the first curve currently obtained; q i It is expressed as the area of ​​the i-th regular curve, where i=1, 2, 3, ..., n; n is the total number of regular curve areas; and e is the natural base.

[0050] Preferably, the image drawing module includes:

[0051] Drawing unit: used for constructing a component bracket plane diagram of the photovoltaic component based on the component layout information of the photovoltaic component by using a set drawing tool, and marking the position of each bolt on the component bracket plane diagram;

[0052] Marking unit: used for marking the loose bolts with serious looseness in red on the plane diagram of the component bracket according to the loose bolt detection result;

[0053] The loose bolts with a moderate looseness are marked in yellow on the plan view of the component bracket;

[0054] The bolts to be tightened are marked in green on the plan view of the component bracket.

[0055] Preferably, the visual display module includes:

[0056] Data import unit: used to import the obtained loose bolt detection results and component bracket plan view into the target visualization tool;

[0057] Parameter setting unit: used to set the display parameters of the component bracket plan view and the loose bolt detection results according to the preset display requirements, so as to ensure that the component bracket plan view and the loose bolt detection results are displayed and updated in real time on the detection visualization interface;

[0058] Interaction unit: It is used for the target user to independently select the authentication method, and automatically enter the detection visualization interface for query and interaction after successful authentication.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] By using a setting device to control the first sound wave signal generated by the resonance of the bolts of the photovoltaic module; performing frequency characteristic analysis on the first sound wave signal to obtain the loose bolt detection result; marking the loose bolt position in the drawn component bracket plan view in combination with the loose bolt detection result, and displaying the loose bolt detection result and the component bracket plan view, the efficiency and accuracy of the tightness spot check of the photovoltaic module bolts can be effectively improved.

[0061] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0062] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0064] Figure 1 The present invention is a structural diagram of a photovoltaic module bracket bolt loosening detection system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0065] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0066] The embodiment of the present invention provides a photovoltaic module bracket bolt loosening detection system, such as Figure 1 As shown, including:

[0067] Bolt vibration module: used to control the photovoltaic module bolts to resonate based on the setting device to obtain the first sound wave signal;

[0068] Signal acquisition and analysis module: used to receive the first sound wave signal by using the target sensor array, and obtain the loose bolt detection result based on the frequency characteristic analysis of the first sound wave signal;

[0069] An image drawing module is used to draw a plane diagram of a photovoltaic module support and mark the positions of the loose bolts in the diagram in combination with the loose bolt detection result;

[0070] Visual display module: used to display the loose bolt detection results and component bracket plan in real time.

[0071] In this embodiment, the setting device refers to a high-frequency sound wave generator with adjustable frequency; the photovoltaic module bolts refer to the photovoltaic bolts that fix the solar panel to the bracket; the first sound wave signal refers to the ultrasonic signal generated by the vibration of the bolts excited by the high-frequency sound waves generated by the setting device; the target sensor array refers to the ultrasonic sensor array; the loose bolt detection result refers to the number, position and degree of looseness of the loose bolts; the component bracket plan view refers to the two-dimensional plan view of the current photovoltaic module bracket.

[0072] The beneficial effects of the above technical solution are: by utilizing the setting device to control the first sound wave signal generated by the resonance of the photovoltaic module bolts; performing frequency characteristic analysis on the first sound wave signal to obtain the loose bolt detection result; marking the loose bolt positions in the drawn module bracket plan view in combination with the loose bolt detection result, and displaying the loose bolt detection result and the module bracket plan view, the efficiency and accuracy of the tightness spot check of the photovoltaic module bolts can be effectively improved.

[0073] An embodiment of the present invention provides a photovoltaic module bracket bolt loosening detection system, the bolt vibration module comprising:

[0074] Frequency adjustment unit: used to extract the historical natural frequency range from the bolt frequency range database, taking the current photovoltaic module bracket bolts as the screening condition;

[0075] If there is no historical natural frequency range at present, the initial frequency range of the current photovoltaic module bracket bolts is used as the target frequency range;

[0076] If there is only a single historical natural frequency range, the historical natural frequency range and the initial frequency range are summarized and sorted to obtain a first undetermined frequency range;

[0077] Extracting the minimum frequency value within the first undetermined frequency range, and reducing it according to a set reduction ratio to obtain a first supplementary minimum frequency;

[0078] Extracting the maximum frequency value within the first undetermined frequency range, and amplifying it according to a set amplification ratio to obtain a first supplementary maximum frequency;

[0079] Supplementing the first supplementary minimum frequency and the first supplementary maximum frequency to the first to-be-determined frequency range to obtain a target frequency range;

[0080] If there are multiple historical natural frequency ranges, the historical natural frequency ranges and the initial frequency range are summarized and sorted to obtain a second frequency range to be determined;

[0081] Extracting the historical natural frequency range closest to the current moment within the second undetermined frequency range, and marking it as the analysis frequency range;

[0082] Amplifying the maximum frequency value within the analysis frequency range according to a set amplification ratio to obtain a second supplementary maximum frequency;

[0083] The minimum frequency value within the analysis frequency range is reduced according to a set reduction ratio to obtain a second supplementary minimum frequency;

[0084] Supplementing the second supplementary minimum frequency and the second supplementary maximum frequency to the second to-be-determined frequency range to obtain a target frequency range;

[0085] Automatically adjusting the frequency of the setting device according to the target frequency range;

[0086] Vibration unit: The setting device after frequency adjustment sends out a sound wave signal to stimulate the resonance of the photovoltaic module bracket bolts and generate the first sound wave signal.

[0087] In this embodiment, the bolt frequency range database is composed of photovoltaic module bracket bolts and corresponding historical natural frequency ranges; the initial natural frequency range is predetermined according to the equipment description of the photovoltaic module bracket bolts; the historical natural frequency range refers to the set of natural frequencies of photovoltaic module bolts in the past; the natural frequency range refers to the set of all natural frequencies that the bolts may exhibit under different materials, sizes and installation conditions; the target frequency range is a frequency set determined by analyzing the historical natural frequency range of the photovoltaic module bracket bolts.

[0088] In this embodiment, the first to-be-determined frequency range refers to the set of natural frequencies obtained by summarizing and arranging the historical natural frequency range and the initial frequency range when there is only a single historical natural frequency range for the photovoltaic module bolt; the minimum frequency value refers to the minimum value of the natural frequency within the to-be-determined frequency range; the set reduction ratio is predetermined, generally (1-20%); the first supplementary minimum frequency is the minimum frequency value within the first to-be-determined frequency range, which is reduced according to the set reduction ratio, for example, there is currently a minimum frequency value f1 within the first to-be-determined frequency range, and the first supplementary minimum frequency is f1×(1-20%); the maximum frequency value refers to the maximum value of the natural frequency within the first to-be-determined frequency range; the set amplification ratio is predetermined, generally (1+20%); the first supplementary maximum frequency is the maximum frequency value within the first to-be-determined frequency range, which is amplified according to the set amplification ratio.

[0089] In this embodiment, the second pending frequency range refers to the set of natural frequencies obtained by summarizing and arranging the acquired historical natural frequency ranges and the initial frequency range when there are multiple historical natural frequency ranges for the photovoltaic module bolts; the analysis frequency range refers to the historical natural frequency range closest to the current moment within the second pending frequency range; the second supplementary maximum frequency is obtained by amplifying the maximum frequency value within the analysis frequency range according to a set amplification ratio; the second supplementary minimum frequency is obtained by reducing the minimum frequency value within the analysis frequency range according to a set reduction ratio.

[0090] The beneficial effect of the above technical solution is that the frequency of the setting device can be automatically adjusted by intelligently selecting the natural frequency range, which can effectively stimulate the resonance of the bolt and provide strong support for the loosening detection of the bolt.

[0091] An embodiment of the present invention provides a photovoltaic module bracket bolt loosening detection system, wherein the signal acquisition and analysis module comprises:

[0092] Data conversion unit: used for the target sensor array to receive the first acoustic wave signal and convert the signal to obtain a first electrical signal;

[0093] A data processing unit: used for filtering and denoising the first electrical signal to obtain a key electrical signal;

[0094] Characteristics analysis unit: used for performing frequency characteristics analysis on the key electrical signal to obtain a first frequency characteristics result;

[0095] Based on the analysis of the first characteristic result, a loose bolt detection result is obtained.

[0096] In this embodiment, the target sensor array refers to an ultrasonic sensor array; the first sound wave signal refers to an ultrasonic signal generated by the vibration of the bolt excited by the high-frequency sound wave generated by the setting device; the first electrical signal refers to the electrical signal obtained by converting the acquired first sound wave signal; the key electrical signal is obtained after filtering and denoising the first electrical signal; the first frequency characteristic result is composed of a frequency characteristic curve and frequency characteristics, such as amplitude; the loose bolt detection result refers to the number, position and degree of looseness of the loose bolts.

[0097] The beneficial effect of the above technical solution is: by utilizing the target sensor array to receive the first acoustic wave signal, and based on the frequency characteristic analysis of the first acoustic wave signal, the loose bolt detection result can be accurately obtained, thereby effectively improving the efficiency and accuracy of the tightening spot check of the photovoltaic module bolts.

[0098] An embodiment of the present invention provides a photovoltaic module bracket bolt loosening detection system, wherein the characteristic analysis unit comprises:

[0099] Curve analysis block: used to perform frequency characteristic analysis on the key electrical signal using a set signal processing algorithm to obtain a first frequency curve;

[0100] calculating a first curve area of ​​the first frequency curve;

[0101] Calculate the curve area of ​​all regular frequency curves of the current photovoltaic module support bolts in the tightened state to obtain the regular curve area;

[0102] The first curve area is combined with the regular curve area for analysis to obtain the first irregularity coefficient;

[0103] Feature analysis block: used to perform frequency characteristic analysis on the key electrical signal using a set signal processing algorithm to obtain a first frequency key feature;

[0104] Obtain the key characteristics of the regular frequency of the current photovoltaic module bracket bolts in the tightened state;

[0105] Compare the first frequency key feature with the obtained regular frequency key feature to establish a frequency comparison feature matrix for each frequency key feature;

[0106] Calculate the eigenvalue of each frequency comparison feature matrix to obtain a first frequency feature comparison value;

[0107] Based on all the obtained first frequency feature comparison values, obtaining a first feature evaluation coefficient;

[0108] Among them, the calculation formula of the first characteristic evaluation coefficient is as follows:

[0109] In the formula, represents the first characteristic evaluation coefficient; g j,max It is represented as the maximum value among all first frequency feature comparison values ​​corresponding to the jth first frequency key feature, where j=1, 2, 3, ..., m; m represents the total number of first frequency key features; g j,avg It is expressed as the mean of all first frequency feature comparison values ​​corresponding to the jth first frequency key feature; It is expressed as the contribution weight of the jth first frequency key feature to the calculation of the first feature evaluation coefficient;

[0110] Looseness detection block: used to determine that the current photovoltaic module bracket bolts are in a tightened state when the first irregularity coefficient is less than the set irregularity threshold and the first characteristic evaluation coefficient is less than the set characteristic evaluation threshold;

[0111] When the first irregularity coefficient is less than the set irregularity threshold, and the first characteristic evaluation coefficient is not less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the looseness is moderate;

[0112] When the first irregularity coefficient is not less than the set irregularity threshold, and the first characteristic evaluation coefficient is less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the looseness is moderate;

[0113] When the first irregularity coefficient is not less than the set irregularity threshold, and the first characteristic evaluation coefficient is not less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the degree of looseness is serious;

[0114] Result generation block: used to summarize the number of all PV panel bracket bolts that are in a loose state, and generate loose bolt detection results based on the location and degree of looseness of each loose bolt.

[0115] In this embodiment, the set signal processing algorithm is a predetermined digital signal processing algorithm, such as Fourier transform; the frequency characteristic curve refers to a curve that shows the relationship between the frequency component of the signal and its corresponding amplitude or energy; the first frequency curve refers to a frequency characteristic curve obtained by performing frequency characteristic analysis on the currently acquired key electrical signal using the set signal processing algorithm; the first curve area refers to the curve area of ​​the first frequency curve; the regular curve area refers to the curve area of ​​the regular frequency curve, wherein the regular frequency curve refers to the corresponding frequency characteristic curve of the current photovoltaic module bolts in a tightened state; the first irregularity coefficient is used to express the degree of irregularity of the first frequency curve.

[0116] In this embodiment, the first frequency key feature refers to a frequency component or parameter, such as amplitude, extracted from the first frequency curve and having a specific meaning; the regular frequency key feature refers to a frequency component or parameter, such as amplitude, extracted from the regular frequency curve and having a specific meaning; the frequency comparison feature matrix is ​​a matrix obtained by comparing the first frequency key feature with the acquired regular frequency key feature; the first frequency feature comparison value refers to the eigenvalue of the frequency comparison feature matrix; the first feature evaluation coefficient is used to express the feature difference between the first frequency curve and the regular frequency curve; the weight assigned to the first frequency key feature is obtained by solving a matrix constructed after pairwise comparison and relative importance scoring using the hierarchical analysis method; the setting of the irregularity threshold is predetermined, generally 0.2; the setting of the feature evaluation threshold is predetermined, generally 0.25; the degree of looseness includes two levels: general and severe.

[0117] The beneficial effects of the above technical solution are: by performing frequency characteristic analysis on the key electrical signal, a first frequency characteristic result is obtained; by analyzing the first characteristic result, the detection result of loose bolts can be effectively obtained, thereby improving the efficiency of spot checks on the tightening of photovoltaic module bolts and reducing time costs.

[0118] An embodiment of the present invention provides a photovoltaic module bracket bolt loosening detection system, and the calculation formula of the first irregularity coefficient is as follows:

[0119] Where, B1 represents the first irregularity coefficient; l z The slope of the first frequency curve corresponding to the first curve area currently obtained is represented as: i It is represented as the slope of the regular frequency curve corresponding to the area of ​​the i-th regular curve currently obtained; Δq max It is expressed as the maximum absolute difference between the area of ​​all regular curves currently acquired and the area of ​​the first curve; Δq min It is represented by the minimum value of the absolute difference between the area of ​​all regular curves currently acquired and the area of ​​the first curve; q z It is represented by the area of ​​the first curve currently obtained; qi It is expressed as the area of ​​the i-th regular curve, where i=1, 2, 3, ..., n; n is the total number of regular curve areas; and e is the natural base.

[0120] The beneficial effect of the above technical solution is that by calculating the first irregularity coefficient, a data basis can be provided for analyzing whether the bolts of the photovoltaic module bracket are loose or tight, thereby helping to improve the efficiency of the spot check of the tightening of the photovoltaic module bolts and reduce time costs.

[0121] An embodiment of the present invention provides a photovoltaic module bracket bolt loosening detection system, wherein the image drawing module comprises:

[0122] Drawing unit: used for constructing a component bracket plane diagram of the photovoltaic component based on the component layout information of the photovoltaic component by using a set drawing tool, and marking the position of each bolt on the component bracket plane diagram;

[0123] Marking unit: used for marking the loose bolts with serious looseness in red on the plane diagram of the component bracket according to the loose bolt detection result;

[0124] The loose bolts with a moderate looseness are marked in yellow on the plan view of the component bracket;

[0125] The bolts to be tightened are marked in green on the plan view of the component bracket.

[0126] In this embodiment, the component layout information refers to data such as the arrangement, position, direction and mutual spacing of the photovoltaic components on the bracket, such as component size, component quantity, arrangement method, direction and spacing, etc.; the set drawing tool refers to a pre-set drawing tool that can draw a plan view of the photovoltaic component bracket based on the component layout information, such as CAD; the loose bolt detection result refers to the number, position and degree of looseness of the loose bolts, where the degree of looseness is divided into two levels: general and severe.

[0127] The beneficial effect of the above technical solution is that by drawing and marking the positions of loose bolts in the plan view of the photovoltaic module bracket, the layout of the photovoltaic module and the positions of the loose bolts can be intuitively seen, which is conducive to reducing the troubleshooting time of the bolts, thereby improving maintenance efficiency.

[0128] An embodiment of the present invention provides a photovoltaic module bracket bolt loosening detection system, wherein the visual display module comprises:

[0129] Data import unit: used to import the obtained loose bolt detection results and component bracket plan view into the target visualization tool;

[0130] Parameter setting unit: used to set the display parameters of the component bracket plan view and the loose bolt detection results according to the preset display requirements, so as to ensure that the component bracket plan view and the loose bolt detection results are displayed and updated in real time on the detection visualization interface;

[0131] Interaction unit: It is used for the target user to independently select the authentication method, and automatically enter the detection visualization interface for query and interaction after successful authentication.

[0132] In this embodiment, the target visualization tool supports functions such as real-time data display, image zooming, rotation and local display; the preset display requirements refer to the display method, display accuracy, display frequency and display content; among them, display accuracy refers to the accuracy of the displayed information, such as the zoom ratio of the component bracket plan view, the accuracy of the bolt position; the display frequency refers to the set update frequency of the displayed information, such as real-time update, update once every hour, etc.; the display parameters include parameters such as zoom ratio, rotation angle and display area; the identity authentication method includes password verification and face recognition.

[0133] The beneficial effect of the above technical solution is that by real-time display of loose bolt detection results and component bracket plan, the efficiency of photovoltaic component bolt tightening spot checks can be effectively improved, time costs can be reduced, and user satisfaction can be improved.

[0134] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A photovoltaic module bracket bolt loosening detection system, characterized in that: include: Bolt vibration module: used to control the photovoltaic module bolts to resonate based on the setting device to obtain the first sound wave signal; Signal acquisition and analysis module: used to receive the first sound wave signal by using the target sensor array, and obtain the loose bolt detection result based on the frequency characteristic analysis of the first sound wave signal; An image drawing module is used to draw a plane diagram of a photovoltaic module support and mark the positions of the loose bolts in the diagram in combination with the loose bolt detection result; Visual display module: used to display the loose bolt detection results and component bracket plan in real time.

2. A photovoltaic module bracket bolt loosening detection system according to claim 1, characterized in that: The bolt vibration module comprises: Frequency adjustment unit: used to extract the historical natural frequency range from the bolt frequency range database, taking the current photovoltaic module bracket bolts as the screening condition; If there is no historical natural frequency range at present, the initial frequency range of the current photovoltaic module bracket bolts is used as the target frequency range; If there is only a single historical natural frequency range, the historical natural frequency range and the initial frequency range are summarized and sorted to obtain a first undetermined frequency range; Extracting the minimum frequency value within the first undetermined frequency range, and reducing it according to a set reduction ratio to obtain a first supplementary minimum frequency; Extracting the maximum frequency value within the first undetermined frequency range, and amplifying it according to a set amplification ratio to obtain a first supplementary maximum frequency; Supplementing the first supplementary minimum frequency and the first supplementary maximum frequency to the first to-be-determined frequency range to obtain a target frequency range; If there are multiple historical natural frequency ranges, the historical natural frequency ranges and the initial frequency range are summarized and sorted to obtain a second frequency range to be determined; Extracting the historical natural frequency range closest to the current moment within the second undetermined frequency range, and marking it as the analysis frequency range; Amplifying the maximum frequency value within the analysis frequency range according to a set amplification ratio to obtain a second supplementary maximum frequency; The minimum frequency value within the analysis frequency range is reduced according to a set reduction ratio to obtain a second supplementary minimum frequency; Supplementing the second supplementary minimum frequency and the second supplementary maximum frequency to the second to-be-determined frequency range to obtain a target frequency range; Automatically adjusting the frequency of the setting device according to the target frequency range; Vibration unit: The setting device after frequency adjustment sends out a sound wave signal to stimulate the resonance of the photovoltaic module bracket bolts and generate the first sound wave signal.

3. A photovoltaic module bracket bolt loosening detection system according to claim 2, characterized in that: The setting device refers to a high-frequency sound wave generator with adjustable frequency.

4. A photovoltaic module bracket bolt loosening detection system according to claim 1, characterized in that: The signal acquisition and analysis module comprises: Data conversion unit: used for the target sensor array to receive the first acoustic wave signal and convert the signal to obtain a first electrical signal; A data processing unit: used for filtering and denoising the first electrical signal to obtain a key electrical signal; Characteristics analysis unit: used for performing frequency characteristics analysis on the key electrical signal to obtain a first frequency characteristics result; Based on the analysis of the first characteristic result, a loose bolt detection result is obtained.

5. A photovoltaic module support bolt loosening detection system according to claim 4, characterized in that: The characteristic analysis unit comprises: Curve analysis block: used to perform frequency characteristic analysis on the key electrical signal using a set signal processing algorithm to obtain a first frequency curve; calculating a first curve area of ​​the first frequency curve; Calculate the curve area of ​​all regular frequency curves of the current photovoltaic module support bolts in the tightened state to obtain the regular curve area; The first curve area is combined with the regular curve area for analysis to obtain the first irregularity coefficient; Feature analysis block: used to perform frequency characteristic analysis on the key electrical signal using a set signal processing algorithm to obtain a first frequency key feature; Obtain the key characteristics of the regular frequency of the current photovoltaic module bracket bolts in the tightened state; Compare the first frequency key feature with the obtained regular frequency key feature to establish a frequency comparison feature matrix for each frequency key feature; Calculate the eigenvalue of each frequency comparison feature matrix to obtain a first frequency feature comparison value; Based on all the obtained first frequency feature comparison values, obtaining a first feature evaluation coefficient; Among them, the calculation formula of the first characteristic evaluation coefficient is as follows: In the formula, represents the first characteristic evaluation coefficient; g j,max It is represented as the maximum value among all first frequency feature comparison values ​​corresponding to the jth first frequency key feature, where j=1, 2, 3, ..., m; m represents the total number of first frequency key features; g j,avg It is expressed as the mean of all first frequency feature comparison values ​​corresponding to the jth first frequency key feature; It is expressed as the contribution weight of the jth first frequency key feature to the calculation of the first feature evaluation coefficient; Looseness detection block: used to determine that the current photovoltaic module bracket bolts are in a tightened state when the first irregularity coefficient is less than the set irregularity threshold and the first characteristic evaluation coefficient is less than the set characteristic evaluation threshold; When the first irregularity coefficient is less than the set irregularity threshold, and the first characteristic evaluation coefficient is not less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the looseness is moderate; When the first irregularity coefficient is not less than the set irregularity threshold, and the first characteristic evaluation coefficient is less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the looseness is moderate; When the first irregularity coefficient is not less than the set irregularity threshold, and the first characteristic evaluation coefficient is not less than the set characteristic evaluation threshold, it is determined that the current photovoltaic module bracket bolt is in a loose state, and the degree of looseness is serious; Result generation block: used to summarize the number of all PV panel bracket bolts that are in a loose state, and generate loose bolt detection results based on the location and degree of looseness of each loose bolt.

6. A photovoltaic module support bolt loosening detection system according to claim 5, characterized in that: The calculation formula of the first irregularity coefficient is as follows: Where, B1 represents the first irregularity coefficient; l z The slope of the first frequency curve corresponding to the first curve area currently obtained is represented as: i It is represented as the slope of the regular frequency curve corresponding to the area of ​​the i-th regular curve currently obtained; Δq max It is expressed as the maximum absolute difference between the area of ​​all regular curves currently acquired and the area of ​​the first curve; Δq min It is represented by the minimum value of the absolute difference between the area of ​​all regular curves currently acquired and the area of ​​the first curve; q z It is represented by the area of ​​the first curve currently obtained; q i It is represented as the area of ​​the i-th regular curve, where i=1, 2, 3, ..., n; n represents the total number of regular curve areas; and e represents the natural base.

7. A photovoltaic module bracket bolt loosening detection system according to claim 1, characterized in that: The image drawing module comprises: Drawing unit: used for constructing a component bracket plane diagram of the photovoltaic component based on the component layout information of the photovoltaic component by using a set drawing tool, and marking the position of each bolt on the component bracket plane diagram; Marking unit: used for marking the loose bolts with serious looseness in red on the plane diagram of the component bracket according to the loose bolt detection result; The loose bolts with a moderate looseness are marked in yellow on the plan view of the component bracket; The bolts to be tightened are marked in green on the plan view of the component bracket.

8. A photovoltaic module support bolt loosening detection system according to claim 1, characterized in that: The visual display module includes: Data import unit: used to import the obtained loose bolt detection results and component bracket plan view into the target visualization tool; Parameter setting unit: used to set the display parameters of the component bracket plan view and the loose bolt detection results according to the preset display requirements, so as to ensure that the component bracket plan view and the loose bolt detection results are displayed and updated in real time on the detection visualization interface; Interaction unit: It is used for the target user to independently select the authentication method, and automatically enter the detection visualization interface for query and interaction after successful authentication.

Images