A photovoltaic frame compressive strength testing system

Abstract

The present invention relates to the technical field of compressive strength testing, and in particular to a photovoltaic frame compressive strength testing system, comprising a compressive strength testing platform, a test information unit, a test influence unit, a sample testing unit, a curve construction unit, a test deviation unit and a test display unit; the present invention analyzes from the perspective of sample interference before the test to understand whether the photovoltaic frame to be tested itself has an impact on the compressive strength test, so as to ensure the credibility of the compressive strength test results of the photovoltaic frame to be tested, and collects the placement information of normal samples through information feedback to understand whether the placement of normal samples has an impact on the test, and at the same time accompanies the curve difference analysis of the test process to accurately analyze the compressive strength of the photovoltaic frame, and performs processing timeliness supervision feedback analysis from the perspective of post-test image processing to ensure the validity and reliability of the test results.

Description

Technical Field

[0001] The present invention relates to the technical field of compressive strength testing, and in particular to a photovoltaic frame compressive strength testing system. Background Art

[0002] The frame is an important component of photovoltaic modules, used to support and protect the photovoltaic laminate, as well as the connection between the module and the system bracket. The main materials of the frame are stainless steel, aluminum alloy, rubber, reinforced plastic, etc. The life of the module is mainly affected by the life of the packaging material, the packaging process and the operating environment. Among them, the life of the packaging material is one of the most important factors determining the life of the photovoltaic module. The strength performance of the frame directly affects the mechanical properties of the photovoltaic module product. Therefore, testing the frame strength is very important.

[0003] The PV frame compressive strength test is a critical test for evaluating the strength and durability of PV module frames when subjected to external pressure. However, existing tests fail to detect defects in the PV frame itself, leading to biased test results and reduced reliability. Furthermore, traditional visual inspection is used to determine whether significant damage is present, resulting in inaccurate results.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a photovoltaic frame compressive strength testing system to solve the above-mentioned technical defects. The present invention analyzes from the perspective of sample interference before the test, that is, performs sample interference supervision and processing analysis on the interference data to understand whether the photovoltaic frame to be tested itself affects the compressive strength test, so as to reasonably select the photovoltaic frame to be tested to ensure the credibility of the compressive strength test results of the photovoltaic frame to be tested, and collects the placement information of normal samples through information feedback to understand whether the placement of normal samples affects the test, so as to manage it in time to further improve the effectiveness of the entire test. At the same time, it is accompanied by curve difference analysis of the test process to accurately analyze the compressive strength of the photovoltaic frame, and performs processing timeliness supervision feedback analysis from the perspective of post-test image processing to understand whether the curve acquisition and processing process during the test is qualified to ensure the validity and reliability of the test results.

[0006] The object of the present invention can be achieved by the following technical solutions: A photovoltaic frame compressive strength testing system includes a compressive strength testing platform, a test information unit, a test impact unit, a sample testing unit, a curve construction unit, a test deviation unit, and a test display unit;

[0007] The test information unit is used to collect interference data of the photovoltaic frame to be detected and send the interference data to the test impact unit;

[0008] After receiving the interference data, the test impact unit immediately performs sample interference supervision processing and analysis on the interference data to obtain normal samples and abnormal samples;

[0009] The sample testing unit is used to respond to normal samples, collect placement information of the normal samples, and perform pre-test self-inspection supervision analysis on the placement information to obtain a management signal and a test execution signal. When the test execution signal is generated, an output deformation curve and an output sound curve are further obtained;

[0010] The curve construction unit is used to respond to the normal sample and perform calibration analysis on the collected curve to obtain the stress-deformation value characteristic curve and the stress-vibration sound characteristic curve of the normal sample;

[0011] The test deviation unit is used to respond to the test end signal, collect the time between the moment the hydraulic rod contacts the normal sample and the moment the test end signal is generated, and perform timeliness supervision feedback analysis to obtain a standard signal and a pipe adjustment signal.

[0012] Preferably, the sample interference supervision processing and analysis process of the test impact unit is as follows:

[0013] The photovoltaic frame to be tested is set as the test sample, and the interference data of each test sample is obtained. The interference data includes the appearance difference value and the ultrasonic measurement value. The appearance difference value and the ultrasonic measurement value are compared and analyzed with the preset appearance difference value threshold and the preset ultrasonic measurement value threshold recorded and stored internally:

[0014] If the appearance difference value is less than the preset appearance difference value threshold, and the ultrasonic measurement value is less than the preset ultrasonic measurement value threshold, the corresponding test sample is determined to be a normal sample;

[0015] If the appearance difference value is greater than or equal to a preset appearance difference value threshold, or the ultrasonic measurement value is greater than or equal to a preset ultrasonic measurement value threshold, the corresponding test sample is determined to be an abnormal sample.

[0016] Preferably, the appearance difference value represents the sum of the difference values ​​between the appearance feature image of each surface of the test sample and the standard feature image; the ultrasonic measurement value represents the product value obtained by multiplying the number of internal cavities of the test sample by the corresponding total volume after data normalization processing.

[0017] Preferably, the pre-test self-inspection supervision analysis process of the sample test unit is as follows:

[0018] Place a normal sample on the test bench, obtain the maximum gap value between the normal sample and the working surface of the test bench, and perform judgment processing on the maximum gap value. If the maximum gap value is not equal to zero, a management signal is generated; if the maximum gap value is equal to zero, a test execution signal is generated.

[0019] Preferably, when the sample test unit generates a test execution signal:

[0020] Obtain the stress-deformation characteristic curve and the stress-vibration-sound characteristic curve of the hydraulic rod and the normal sample at the contact moment, and set the stress-deformation characteristic curve and the stress-vibration-sound characteristic curve of the hydraulic rod and the normal sample at the contact moment as the initial deformation curve and the initial sound curve respectively;

[0021] Obtain the stress-deformation characteristic curve of the normal sample during the test in real time - overlap and compare the stress-deformation characteristic curve with the initial deformation curve - when there is a difference between the stress-deformation characteristic curve and the initial deformation curve - set the stress-deformation characteristic curve at the moment of difference between the stress-deformation characteristic curve and the initial deformation curve as the output deformation curve;

[0022] At the same time, the stress-vibration-sound characteristic curve of the normal sample during the test is obtained in real time, and then the area of ​​the area enclosed by the stress-vibration-sound characteristic curve and the X-axis is obtained in real time, and is set as the test evaluation index. The test evaluation index is then discriminated and processed to obtain an output signal. The stress-vibration-sound characteristic curve at the time the output signal is generated is set as the output sound curve;

[0023] When one of the output deformation curve or the output sound curve is obtained, a test end signal is generated.

[0024] Preferably, the acquisition curve calibration analysis process of the curve construction unit is as follows:

[0025] When the test device contacts the normal sample, a rectangular coordinate system is established with stress as the X-axis and the difference between the collected curve image and the initial deformation curve as the Y-axis to construct the stress-deformation characteristic curve of the normal sample. The collected curve image represents the stress-deformation characteristic curve continuously collected from the moment the test device contacts the normal sample to the end of the test.

[0026] When the test equipment comes into contact with the normal sample, a rectangular coordinate system is established with stress as the X-axis and vibration and sound as the Y-axis to construct the stress-vibration and sound characteristic curve of the normal sample.

[0027] Preferably, the test deviation unit processes the timeliness supervision feedback analysis process as follows:

[0028] The time duration between the moment the hydraulic rod contacts the normal sample and the moment the test end signal is generated is obtained, and is set as the analysis time duration. The processing time duration of each acquired image within the analysis time duration is obtained. The processing time duration represents the time duration between the moment a curve image is acquired and the moment the next curve image is acquired. A rectangular coordinate system is established with the number of processing time durations as the X-axis and the processing time duration as the Y-axis. The processing time duration curve is drawn by plotting points, and the maximum peak value and the minimum trough value are obtained from the processing time duration curve. The difference between the maximum peak value and the minimum trough value obtained on the processing time duration curve is set as the processing floating span. The processing floating span is compared and analyzed with the preset processing floating span threshold value recorded and stored internally to obtain the standard signal and the pipe adjustment signal.

[0029] The beneficial effects of the present invention are as follows:

[0030] The present invention analyzes the sample interference before the test, that is, performs sample interference supervision processing analysis on the interference data to understand whether the photovoltaic frame to be tested itself affects the compressive strength test, so as to reasonably select the photovoltaic frame to be tested and ensure the credibility of the compressive strength test results of the photovoltaic frame to be tested;

[0031] The present invention collects the placement information of normal samples through information feedback to understand whether the placement of normal samples affects the test, so as to manage it in a timely manner and further improve the effectiveness of the entire test. At the same time, it is accompanied by a curve difference analysis of the test process to accurately analyze the compressive strength of the photovoltaic frame, and to perform processing timeliness supervision feedback analysis from the perspective of post-test image processing to understand whether the curve collection and processing process during the test is qualified, so as to ensure the effectiveness and reliability of the test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention will be further described below with reference to the accompanying drawings;

[0033] Figure 1 It is a flow chart of the system of the present invention;

[0034] Figure 2 This is a local analysis diagram of Example 1 of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention. Embodiment one:

[0036] See also Figures 1 to 2 As shown, the present invention is a photovoltaic frame compressive strength testing system, including a compressive strength testing platform, a test information unit, a test impact unit, a sample test unit, a curve construction unit, a test deviation unit and a test display unit. The compressive strength testing platform is connected to the test information unit in a one-way communication manner, the test information unit is connected to the test impact unit in a one-way communication manner, the test impact unit is connected to the sample test unit and the test display unit in a one-way communication manner, the sample test unit is connected to the curve construction unit in a two-way communication manner, the sample test unit is connected to the test deviation unit and the test display unit in a one-way communication manner, and the test deviation unit is connected to the test display unit in a one-way communication manner.

[0037] When the compressive strength test platform detects that the test equipment is running, it generates a supervision instruction and sends the supervision instruction to the test information unit. After receiving the supervision instruction, the test information unit immediately collects the interference data of the photovoltaic frame to be tested and sends the interference data to the test impact unit. After receiving the interference data, the test impact unit immediately performs sample interference supervision processing and analysis on the interference data to understand whether the photovoltaic frame to be tested itself has an impact on the compressive strength test, so as to reasonably select the photovoltaic frame to be tested and ensure the credibility of the compressive strength test results of the photovoltaic frame to be tested. The specific sample interference supervision processing and analysis process is as follows:

[0038] The photovoltaic frame to be tested is set as the test sample, and the interference data of each test sample is obtained. The interference data includes the appearance difference value and the ultrasonic measurement value. The appearance difference value and the ultrasonic measurement value are compared and analyzed with the preset appearance difference value threshold and the preset ultrasonic measurement value threshold recorded and stored internally:

[0039] If the appearance difference value is less than the preset appearance difference value threshold, and the ultrasonic measurement value is less than the preset ultrasonic measurement value threshold, the corresponding test sample is determined to be a normal sample;

[0040] If the appearance difference value is greater than or equal to the preset appearance difference value threshold, or the ultrasonic measurement value is greater than or equal to the preset ultrasonic measurement value threshold, the corresponding test sample is determined to be an abnormal sample;

[0041] In the embodiment of the present invention, the appearance difference value represents the sum of the difference values ​​between the appearance feature image of each surface of the test sample and the standard feature image. It should be noted that the analysis is performed from the perspective of appearance difference to understand the risk of the impact of appearance difference on the test;

[0042] In the embodiment of the present invention, the ultrasonic measurement value represents the product of the number of internal cavities of the test sample and the corresponding total volume after data normalization. It should be noted that the analysis is conducted from the perspective of internal defects to eliminate the influence of internal defects on the test results, thereby improving the accuracy of the test results.

[0043] Normal samples and abnormal samples are sent to the test display unit. After receiving the normal samples and abnormal samples, the test display unit immediately divides and manages the test samples so as to select the appropriate photovoltaic frame to be tested for compressive strength test, thereby reducing the large deviation of the test results caused by the defects of the sample itself;

[0044] The sample test unit is used to respond to normal samples, collect the placement information of normal samples, and perform pre-test self-inspection and supervision analysis on the placement information to understand whether the placement of normal samples has an impact on the test, so as to conduct timely management and improve the effectiveness of the entire test. The specific pre-test self-inspection and supervision analysis process is as follows:

[0045] A normal sample is placed on the test table, and the maximum gap value between the normal sample and the working surface of the test table is obtained. The maximum gap value is then judged and processed. If the maximum gap value is not equal to zero, a management signal is generated and sent to the test display unit. After receiving the management signal, the test display unit immediately performs a preset warning operation corresponding to the management signal to reduce the impact of the placement on the test;

[0046] If the maximum gap value is equal to zero, a test execution signal is generated. When the test execution signal is generated, a stress-deformation characteristic curve and a stress-vibration-acoustic characteristic curve corresponding to the moment when the hydraulic rod contacts the normal sample are obtained, and the stress-deformation characteristic curve and the stress-vibration-acoustic characteristic curve corresponding to the moment when the hydraulic rod contacts the normal sample are set as the initial deformation curve and the initial acoustic curve, respectively.

[0047] The stress-deformation characteristic curve of the normal sample during the test is obtained in real time, and the stress-deformation characteristic curve is overlapped and compared with the initial deformation curve. When there is a difference between the stress-deformation characteristic curve and the initial deformation curve, the stress-deformation characteristic curve corresponding to the moment when the difference between the stress-deformation characteristic curve and the initial deformation curve occurs is set as the output deformation curve;

[0048] At the same time, the stress-vibration-sound characteristic curve of the normal sample during the test is obtained in real time, and then the area of ​​the region enclosed by the stress-vibration-sound characteristic curve and the X-axis is obtained in real time, and it is set as the test evaluation index, and the test evaluation index is discriminated:

[0049] If the test evaluation index is less than the preset test evaluation index threshold, no signal is generated;

[0050] If the test evaluation index is greater than or equal to the preset test evaluation index threshold, an output signal is generated, and the stress-vibration-sound characteristic curve corresponding to the moment when the output signal is generated is set as the output sound curve;

[0051] When one of the output deformation curve or the output sound curve is obtained, a test end signal is generated and sent to the test display unit. After receiving the test end signal, the test display unit controls the hydraulic rod to stop pressing down and retract it upward, and at the same time controls the sound sensor to leave the normal sample. Example 2:

[0052] The curve construction unit is used to respond to normal samples and perform acquisition curve calibration analysis to provide data support for subsequent analysis. The specific acquisition curve calibration analysis process is as follows:

[0053] The construction process of the stress-deformation characteristic curve is as follows:

[0054] When the test device contacts the normal sample, a rectangular coordinate system is established with stress as the X-axis and the difference between the acquired curve image and the initial deformation curve as the Y-axis. The acquired curve image represents the stress-deformation characteristic curve continuously collected from the moment the test device contacts the normal sample to the end of the test.

[0055] The construction process of the stress-vibration-acoustic characteristic curve is as follows:

[0056] When the test equipment is in contact with the normal sample, a rectangular coordinate system is established with stress as the X-axis and vibration sound as the Y-axis;

[0057] The test deviation unit is used to respond to the test end signal and collect the time from the moment the hydraulic rod contacts the normal sample to the moment the test end signal is generated. It also performs timeliness supervision feedback analysis to understand whether the curve collection and processing process during the test is qualified, so as to ensure the validity and reliability of the test results. The specific timeliness supervision feedback analysis process is as follows:

[0058] The duration between the moment the hydraulic rod contacts the normal sample and the moment the test end signal is generated is obtained, and is set as the analysis duration. The processing duration of each acquired image within the analysis duration is obtained. The processing duration represents the duration between the moment a curve image is acquired and the moment the next curve image is acquired. A rectangular coordinate system is established with the number of processing durations as the X-axis and the processing duration as the Y-axis. A processing duration curve is drawn by plotting points, and the maximum peak value and minimum trough value are obtained from the processing duration curve. The difference between the maximum peak value and the minimum trough value obtained on the processing duration curve is set as the processing floating span. The processing floating span is compared and analyzed with the preset processing floating span threshold value stored internally:

[0059] If the ratio between the processing floating span and the preset processing floating span threshold is less than 1, a standard signal is generated;

[0060] If the ratio between the processing floating span and the preset processing floating span threshold is greater than or equal to 1, a pipe adjustment signal is generated, and the standard signal and the pipe adjustment signal are sent to the test display unit. After receiving the standard signal and the pipe adjustment signal, the test display unit immediately displays the preset warning text corresponding to the standard signal and the pipe adjustment signal, so as to manage the performance of image acquisition and ensure the accuracy of image acquisition and processing, thereby helping to improve the validity and accuracy of the photovoltaic frame compressive strength test results;

[0061] To sum up, the present invention analyzes from the perspective of sample interference before the test, that is, performs sample interference supervision and processing analysis on the interference data to understand whether the photovoltaic frame to be tested itself affects the compressive strength test, so as to reasonably select the photovoltaic frame to be tested to ensure the credibility of the compressive strength test results of the photovoltaic frame to be tested, and collects the placement information of normal samples through information feedback to understand whether the placement of normal samples affects the test, so as to manage it in time to further improve the effectiveness of the entire test, and at the same time, accompanies the curve difference analysis of the test process to accurately analyze the compressive strength of the photovoltaic frame, and performs processing timeliness supervision feedback analysis from the perspective of post-test image processing to understand whether the curve acquisition and processing process during the test is qualified to ensure the validity and reliability of the test results.

[0062] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0063] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A photovoltaic frame compressive strength testing system, characterized in that: It includes a compressive strength test platform, a test information unit, a test impact unit, a sample test unit, a curve construction unit, a test deviation unit and a test display unit; The test information unit is used to collect interference data of the photovoltaic frame to be detected and send the interference data to the test impact unit; After receiving the interference data, the test impact unit immediately performs sample interference supervision processing and analysis on the interference data to obtain normal samples and abnormal samples; The sample testing unit is used to respond to normal samples, collect placement information of the normal samples, and perform pre-test self-inspection supervision analysis on the placement information to obtain a management signal and a test execution signal. When the test execution signal is generated, an output deformation curve and an output sound curve are further obtained; The curve construction unit is used to respond to normal samples and perform calibration analysis on the collected curves to obtain stress-deformation value characteristic curves and stress-vibration sound characteristic curves of the normal samples; The test deviation unit is used to respond to the test end signal, collect the time between the moment the hydraulic rod contacts the normal sample and the moment the test end signal is generated, and perform timeliness supervision feedback analysis to obtain a standard signal and a pipe adjustment signal; The sample interference supervision processing and analysis process of the test impact unit is as follows: The photovoltaic frame to be tested is set as the test sample, and the interference data of each test sample is obtained. The interference data includes the appearance difference value and the ultrasonic measurement value. The appearance difference value and the ultrasonic measurement value are compared and analyzed with the preset appearance difference value threshold and the preset ultrasonic measurement value threshold recorded and stored internally: If the appearance difference value is less than the preset appearance difference value threshold, and the ultrasonic measurement value is less than the preset ultrasonic measurement value threshold, the corresponding test sample is determined to be a normal sample; If the appearance difference value is greater than or equal to the preset appearance difference value threshold, or the ultrasonic measurement value is greater than or equal to the preset ultrasonic measurement value threshold, the corresponding test sample is determined to be an abnormal sample; The appearance difference value represents the sum of the difference values ​​between the appearance feature image of each surface of the test sample and the standard feature image; the ultrasonic measurement value represents the product value obtained by multiplying the number of internal cavities of the test sample by the corresponding total volume after data normalization processing.

2. A photovoltaic frame compressive strength testing system according to claim 1, characterized in that: The pre-test self-inspection supervision analysis process of the sample test unit is as follows: Place a normal sample on the test bench, obtain the maximum gap value between the normal sample and the working surface of the test bench, and perform judgment processing on the maximum gap value. If the maximum gap value is not equal to zero, a management signal is generated; if the maximum gap value is equal to zero, a test execution signal is generated.

3. A photovoltaic frame compressive strength testing system according to claim 2, characterized in that: When the sample test unit generates a test execution signal: Obtain the stress-deformation characteristic curve and the stress-vibration-sound characteristic curve corresponding to the moment when the hydraulic rod contacts the normal sample, and set the stress-deformation characteristic curve and the stress-vibration-sound characteristic curve corresponding to the moment when the hydraulic rod contacts the normal sample as the initial deformation curve and the initial sound curve, respectively; The stress-deformation characteristic curve of the normal sample during the test is obtained in real time, and the stress-deformation characteristic curve is overlapped and compared with the initial deformation curve. When there is a difference between the stress-deformation characteristic curve and the initial deformation curve, the stress-deformation characteristic curve corresponding to the moment when the difference between the stress-deformation characteristic curve and the initial deformation curve occurs is set as the output deformation curve; At the same time, the stress-vibration-sound characteristic curve of the normal sample during the test is obtained in real time, and then the area of ​​the region enclosed by the stress-vibration-sound characteristic curve and the X-axis is obtained in real time, and is set as the test evaluation index. The test evaluation index is then discriminated and processed to obtain an output signal, and the stress-vibration-sound characteristic curve corresponding to the moment the output signal is generated is set as the output sound curve; When one of the output deformation curve or the output sound curve is obtained, a test end signal is generated.

4. A photovoltaic frame compressive strength testing system according to claim 1, characterized in that: The acquisition curve calibration analysis process of the curve construction unit is as follows: When the test device contacts the normal sample, a rectangular coordinate system is established with stress as the X-axis and the difference between the acquired curve image and the initial deformation curve as the Y-axis to construct the stress-deformation characteristic curve of the normal sample. The acquired curve image represents the stress-deformation characteristic curve continuously collected from the moment the test device contacts the normal sample to the end of the test. When the test equipment comes into contact with the normal sample, a rectangular coordinate system is established with stress as the X-axis and vibration and sound as the Y-axis to construct the stress-vibration and sound characteristic curve of the normal sample.

5. A photovoltaic frame compressive strength testing system according to claim 1, characterized in that: The test deviation unit's processing timeliness supervision feedback analysis process is as follows: The time duration between the moment the hydraulic rod contacts the normal sample and the moment the test end signal is generated is obtained, and is set as the analysis time duration. The processing time duration of each acquired image within the analysis time duration is obtained. The processing time duration represents the time duration between the moment a curve image is acquired and the moment the next curve image is acquired. A rectangular coordinate system is established with the number of processing time durations as the X-axis and the processing time duration as the Y-axis. The processing time duration curve is drawn by plotting points, and the maximum peak value and the minimum trough value are obtained from the processing time duration curve. The difference between the maximum peak value and the minimum trough value obtained on the processing time duration curve is set as the processing floating span. The processing floating span is compared and analyzed with the preset processing floating span threshold value recorded and stored internally to obtain the standard signal and the pipe adjustment signal.

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