Backswing test system for photovoltaic speed reducer

Abstract

The invention discloses a backswing test system for a photovoltaic speed reducer, relates to the technical field of speed reducer testing, and solves the technical problems that no-load and different-load working conditions cannot be comprehensively analyzed, the source of abnormal backswing data cannot be deeply excavated, and the test efficiency and the test accuracy are reduced. According to the invention, through full-process management and control from parameter standard acquisition and automatic test process setting to data system analysis and result output, test accuracy and repeatability are guaranteed, no-load and load backswing data analysis is integrated, a relation curve is drawn by taking a load value as an abscissa and a load backswing mean value as an ordinate, and a test result is obtained. The direct proportion and non-direct proportion relation is accurately identified to judge the performance, so that potential fault hidden dangers are pulled out; in addition, according to abnormal analysis, surface breaking, deep excavation sudden change and reverse change relation are combined with historical data tracing, fault details of internal parts such as gears and bearings or testing equipment problems are determined, for example, tooth surface deformation critical load is locked according to curve sudden change, and advanced maintenance is facilitated.

Description

Technical Field

[0001] The invention relates to the technical field of speed reducer testing, and in particular to a swing test system for a photovoltaic speed reducer. Background Art

[0002] At a time when the photovoltaic industry is booming, efficient and accurate operation of photovoltaic equipment is crucial. As the core transmission component of key equipment such as photovoltaic tracking systems, the performance of photovoltaic reducers is directly related to the power generation efficiency and stability of the entire photovoltaic system.

[0003] Traditionally, the performance testing of reducers has focused on conventional mechanical performance indicators, such as the determination of speed and torque transmission efficiency, and there are many deficiencies in the swing performance testing. On the one hand, there is a lack of systematic and automated testing processes and supporting systems, and they often rely on manual experience judgment and scattered manual testing operations, which makes it difficult to ensure the consistency and accuracy of each test condition, resulting in low credibility and poor repeatability of test data; on the other hand, the ability to process complex data after the test and diagnose faults in depth is weak, and most of them simply compare the swing volume of a single test with the empirical threshold, and cannot comprehensively analyze the no-load and different load conditions, and cannot dig deep into the root cause of abnormal swing data. Whether it is a regular abnormality or an irregular abnormality, it is difficult to effectively identify the cause of the fault, which seriously restricts the quality control of reducers, fault warning and stable operation and maintenance of photovoltaic equipment. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a swing test system for photovoltaic reducers, which solves the problems of being unable to comprehensively analyze no-load and different load conditions, and being unable to deeply explore the root causes of abnormal swing data, thereby reducing test efficiency and test accuracy.

[0005] To achieve the above purpose, the present invention is implemented through the following technical solutions: a swing test system for photovoltaic reducer, comprising: The no-load test analysis unit is used to analyze the swing test parameters transmitted by the detection information acquisition unit, to judge the overall situation of the reducer by measuring and analyzing the swing amount of the reducer under no-load conditions, and to generate normal no-load swing results and abnormal no-load swing results, to transmit the obtained normal no-load swing results to the comprehensive analysis and processing unit, and to transmit the abnormal no-load swing results to the test result output unit; A comprehensive analysis and processing unit is used to analyze the normal no-load swing results obtained, and to generate load swing analysis results by combining the swing amount of the reducer under different load conditions, and to transmit the abnormal load results to the secondary analysis and processing unit, and to analyze the normal load results, and to generate test information by analyzing and identifying the relationship curve of the deceleration, and then to transmit the test information to the test result output unit; The secondary analysis and processing unit analyzes the abnormal load results obtained, and numerically classifies the load swing mean values ​​corresponding to the abnormal load results. At the same time, it analyzes the changes in the classified values ​​in combination with historical data, generates corresponding test results, and transmits the test abnormal results to the test result output unit.

[0006] As a further solution of the present invention, it also includes a detection information acquisition unit and a test result output unit; The detection information acquisition unit is used to obtain the swing test parameters of the reducer, and transmit the obtained swing test parameters to the no-load test analysis unit and the load test analysis unit; The test result output unit is used to display the abnormal cause information, normal test results and abnormal test results to the corresponding operators.

[0007] As a further solution of the present invention, the specific method in which the no-load test analysis unit analyzes the swing test parameters is as follows: According to the specifications and test requirements of the reducer, determine the speed range of the test, set the forward and reverse angles, then turn on the reducer. After the forward rotation is completed, immediately drive the input shaft to reverse, and at the same time obtain the data of the angle measuring instrument and record it as the swing amount. In this way, the reducer is tested multiple times, and the corresponding swing amount of the test is obtained, recorded as Bi, and i=1, 2, ..., j, where j represents the number of tests. Then, the average swing amount corresponding to all test times i is calculated and recorded as Bp. At the same time, the calculated average swing amount is compared with the preset value to generate normal no-load swing results and abnormal no-load swing results.

[0008] As a further solution of the present invention, the specific method of comparing the swing amount mean value with the preset value by the no-load test analysis unit is: If the mean value of the swing amount is greater than the preset value, and includes the case where it is equal to the preset value, it means that the corresponding swing amount when the reducer is no-load is abnormal, and an abnormal no-load swing result is generated. Conversely, if the mean value of the swing amount is less than the preset value, it means that the corresponding swing amount when the reducer is no-load is normal, and a normal no-load swing result is generated.

[0009] As a further solution of the present invention, the specific method in which the comprehensive analysis processing unit analyzes the normal no-load swing result is: Obtain the normal no-load swing result, and set different loads as a, and a=1, 2, ..., b, where b represents different loads. When the load is set, drive the input shaft to rotate forward and reverse. During the reversal process, the angle that the input shaft rotates when the output shaft starts to reverse is also recorded as the load swing amount. At the same time, multiple measurements are performed and the average value obtained by the measurements is calculated and recorded as the load swing average value. At the same time, the load swing average value is compared with the preset value; If the load swing mean value is greater than the preset value, and includes the case where it is equal to the preset value, an abnormal load result is generated; otherwise, if the load swing mean value is less than the preset value, a normal load result is generated; In this way, different loads are compared, and the abnormal load results are transmitted to the secondary analysis and processing unit, and the normal load results are analyzed.

[0010] As a further solution of the present invention, the specific manner in which the comprehensive analysis processing unit analyzes the normal load result is: A corresponding coordinate system is established with load a as the horizontal coordinate and the load swing mean value corresponding to load a as the vertical coordinate, and a relationship curve is drawn at the same time, and the obtained relationship curve is identified. If the obtained relationship curve is in a positive proportional relationship, it means that the swing test of the reducer under load is normal, and normal test information is generated at the same time, and the normal test information is transmitted to the test result output unit. On the contrary, if the relationship curve is not in a positive proportional relationship, it means that the swing test of the reducer under load is abnormal, and an abnormal analysis signal is generated at the same time; Then, the generated abnormal analysis signal is processed to obtain the specific change relationship corresponding to the non-proportional relationship, including the mutation relationship and the reverse change relationship. At the same time, historical data is obtained, and the abnormal cause is generated in combination with the historical data. Then, the abnormal cause information is transmitted to the test result output unit.

[0011] As a further solution of the present invention, the specific method in which the secondary analysis processing unit analyzes the abnormal load result is: Obtain the abnormal load result, and at the same time obtain the load swing mean corresponding to the abnormal load result, and determine whether there is a load swing mean with the same value. If so, generate an abnormal regular signal, otherwise generate an abnormal irregular signal, and analyze the two separately.

[0012] As a further solution of the present invention, the specific method in which the secondary analysis processing unit analyzes the abnormal regular signal and the abnormal irregular signal is: Analyze the abnormal regular signal, obtain historical data, and simultaneously obtain the load swing mean with the same value, and judge the change of the load swing mean in the historical data. If the load swing mean remains unchanged, obtain the load value corresponding to the load swing mean with the same value, and generate load abnormality information at the same time. If the load swing mean increases, generate abnormal loss information, and combine to obtain the test abnormality result, and then transmit the test abnormality result to the test result output unit; Analyze abnormal and irregular signals, obtain historical data, determine changes in the load swing mean based on historical data, and generate test abnormality results based on the changes.

[0013] The present invention provides a swing test system for photovoltaic reducers. Compared with the prior art, it has the following beneficial effects: The present invention ensures the accuracy and repeatability of the test by controlling the whole process from parameter specification collection, automatic test process setting to data system analysis and result output. It comprehensively analyzes the no-load and load swing data, draws a relationship curve with the load value as the horizontal coordinate and the load swing mean as the vertical coordinate, accurately identifies the positive proportional and non-positive proportional relationship to judge the performance, and thus finds out the potential fault hazards; and the abnormal analysis does not stop at the surface, but deeply explores the relationship between sudden changes and reverse changes combined with historical data tracing to clarify the fault details of internal components such as gears and bearings or test equipment problems, such as locking the critical load of tooth surface deformation according to the sudden change of the curve, which helps to maintain in advance; The secondary analysis and processing unit classifies and processes abnormal load results according to regular and irregular signals. For regular signals, the load swing mean stability and corresponding load in historical data are compared to accurately identify the source of abnormal load or abnormal loss caused by calibration errors; for irregular signals, historical swing fluctuations are visualized to gain insight into complex faults such as uneven machining accuracy, providing maintenance personnel with intuitive and clear clues, shortening the troubleshooting and repair cycle, improving the operation and maintenance efficiency of photovoltaic reducers, extending their service life, and ensuring stable power generation of photovoltaic equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a block diagram of the system principle of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0016] For example, see Figure 1 The present application provides a swing test system for a photovoltaic reducer, including a detection information acquisition unit, a no-load test analysis unit, a comprehensive analysis and processing unit, a secondary analysis and processing unit, and a test result output unit. As shown in the accompanying drawings, the above-mentioned functional units are unidirectionally electrically connected.

[0017] The detection information acquisition unit is used to obtain the swing test parameters of the reducer, and transmit the obtained swing test parameters to the no-load test analysis unit and the load test analysis unit, wherein the swing test parameters include the limit angle value, the reducer torque and the forward and reverse rotation angles.

[0018] The no-load test analysis unit is used to analyze the acquired swing test parameters, and to judge the overall situation of the reducer by measuring and analyzing the swing amount of the reducer when it is no-load, and to generate a judgment result.

[0019] According to the specifications and test requirements of the reducer, the speed range of the test is determined, and the forward and reverse angles are set. The specific forward and reverse angles are set to 60°. Then the reducer is turned on. After the forward rotation is completed, the input shaft is immediately driven to reverse. At the same time, the data of the angle measuring instrument is obtained and recorded as the swing amount. Specifically, during the reversal process, the output shaft will not reverse immediately due to the existence of internal clearance. The angle rotated by the input shaft when the output shaft starts to reverse is recorded. This angle is the no-load swing amount. Similarly, the reducer is tested multiple times, and the corresponding swing amount of the test is obtained and recorded as Bi, and i=1, 2, …, j, where j represents the number of tests. Then the average swing amount corresponding to all test times i is calculated and recorded as Bp; for example, in the first test, the output shaft delays about 0.08° (corresponding to the angle rotated by the input shaft) before starting to reverse, that is, B1=0.08°. According to this process, the test was repeated 10 times, and the subsequent measurements were B2=0.07°, B3=0.09°, B4=0.08°, B5=0.07°, B6=0.08°, B7=0.09°, B8=0.07°, B9=0.08°, and B0=0.08°. Finally, the average value Bp was calculated according to the formula = (0.08+0.07+0.09+0.08+0.07+0.08+0.09+0.07+0.08+0.08) / 10=0.08°.

[0020] The calculated mean value of the swing amount is compared with the preset value, and the specific value of the preset value is set by the operator, generally controlled within ±0.05°. If the mean value of the swing amount is greater than the preset value, and includes the case where it is equal to the preset value, it means that the corresponding swing amount under the no-load condition of the reducer is abnormal, and an abnormal no-load swing result is generated. On the contrary, if the mean value of the swing amount is less than the preset value, it means that the corresponding swing amount under the no-load condition of the reducer is normal, and a normal no-load swing result is generated. At the same time, the normal no-load swing result is transmitted to the comprehensive analysis and processing unit, and the abnormal no-load swing result is transmitted to the test result output unit.

[0021] A comprehensive analysis and processing unit is used to analyze the normal no-load swing results obtained, and to generate load swing analysis results by combining the swing amount of the reducer under different load conditions. At the same time, the abnormal load results are transmitted to the secondary analysis and processing unit, and the normal load results are analyzed. The test information is generated by analyzing and identifying the deceleration relationship curve, and then the test information is transmitted to the test result output unit.

[0022] Get the normal no-load swing result, and set different loads as a, and a=1, 2, ..., b, where b represents different loads, and the load a increases. For example, the load changes from 10N·m to 20N·m, and then to 30N·m. When the load is set, drive the input shaft to rotate forward and reverse. During the reversal process, the angle of the input shaft when the output shaft starts to reverse is also recorded as the load swing amount. At the same time, perform multiple measurements and calculate the average value obtained by the measurements as the load swing average. At the same time, compare the load swing average with the preset value, and the preset value here is The value is set to be the same as the preset value of the no-load swing. The specific load swing mean is the mean value calculated multiple times under the same load condition. If the load swing mean is greater than the preset value, and includes the case where it is equal to the preset value, it means that the load swing mean under the corresponding load condition is abnormal, and an abnormal load result is generated. On the contrary, if the load swing mean is less than the preset value, it means that the load swing mean under the corresponding load condition is normal, and a normal load result is generated. In this way, different loads are compared, and the abnormal load result is transmitted to the secondary analysis processing unit, and the normal load result is analyzed. Five different load levels a were set in sequence (a=1 represents a load of 10 N·m, a=2 represents a load of 20 N·m, and so on to a=5 represents a load of 50 N·m). Under a load of 10 N·m (a=1), the forward-reverse test was repeated eight times, and the load swing was recorded each time, such as 0.09°, 0.1°, 0.09°, 0.1°, 0.09°, 0.1°, 0.09°, 0.1°. The average load swing was calculated to be 0.095°. ≤0.1°, it is determined that the average value of the load swing under the 10N.m load is normal, and a normal load result is generated. The characteristics such as the swing amount fluctuation range under this load can be analyzed later. When the load is 50N·m (a=5), the load swing amounts obtained from the same 8 tests are 0.11°, 0.12°, 0.1°, 0.11°, 0.12°, 0.1°, 0.11°, and 0.12°, with an average of 0.1125°. Given that 0.1125°>0.1°, an abnormal load result is generated.

[0023] The normal load results are analyzed, and the corresponding coordinate system is established with load a as the horizontal coordinate and the load swing mean corresponding to load a as the vertical coordinate. At the same time, the relationship curve is drawn and the obtained relationship curve is identified. If the obtained relationship curve is in a positive proportional relationship, it means that the swing test of the reducer under load is normal, and normal test information is generated and transmitted to the test result output unit. On the contrary, if the relationship curve is not in a positive proportional relationship, it means that the swing test of the reducer under load is abnormal, and an abnormal analysis signal is generated at the same time. Under normal circumstances, the swing amount will increase with the increase of load torque, and present an approximately positive proportional relationship. For example, for every 10N・m increase in load torque, the swing amount increases by 0.02°-0.03°. This is because when the load increases, the force between the transmission components also increases, making the gap more obvious under the load, resulting in an increase in the swing amount. If this positive proportional relationship is relatively stable, it means that the performance of the reducer under load changes basically meets the requirements and can withstand load changes within a certain range.

[0024] Then, the generated abnormal analysis signal is processed to obtain the specific change relationship corresponding to the non-proportional relationship, including the mutation relationship and the reverse change relationship. At the same time, historical data is obtained, and the abnormal cause is generated in combination with the historical data. Then, the abnormal cause information is transmitted to the test result output unit.

[0025] Combined with actual analysis, if it is a sudden change relationship: if the swing amount suddenly increases significantly under a certain load torque value, for example, when the load torque increases from 40N·m to 50N·m, the swing amount suddenly increases from 0.1° to 0.5°, this may be because a component inside the reducer has reached its load limit, the gear tooth surface may have local deformation, or the radial or axial stiffness of the bearing has dropped sharply under this load. This situation indicates that the performance of the reducer does not meet the requirements and cannot withstand such load changes; If it is a reverse change: If during the process of load increase, the swing amount reaches a plateau (that is, the load increases but the swing amount remains basically unchanged) or changes in the opposite direction (the swing amount decreases as the load increases), this is also an abnormal phenomenon. This may be caused by an error in the test equipment or a special fault inside the reducer. Further inspection is needed to determine the cause.

[0026] The test result output unit is used to display the acquired abnormal cause information and normal test results to the corresponding operator.

[0027] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that: The secondary analysis and processing unit analyzes the acquired abnormal load results, and numerically classifies the load swing mean values ​​corresponding to the abnormal load results. At the same time, it analyzes the changes in the classified values ​​in combination with historical data, generates corresponding test abnormal results, and transmits the test abnormal results to the test result output unit.

[0028] Obtain the abnormal load result and the load swing mean value corresponding to the abnormal load result, and determine whether there is a load swing mean value with the same value. If so, generate an abnormal regular signal, otherwise generate an abnormal irregular signal, and analyze the two respectively; The method of analyzing the abnormal regular signal is as follows: obtaining historical data, and simultaneously obtaining the load swing mean value with the same value, and judging the change of the load swing mean value in the historical data; if the load swing mean value remains unchanged, then obtaining the load value corresponding to the load swing mean value with the same value, and generating load abnormality information at the same time; if the load swing mean value increases, then generating abnormal loss information, and combining to obtain the test abnormality result, and then transmitting the test abnormality result to the test result output unit; In the load swing test of the routine quarterly inspection, when a load of 50N·m was applied, the system detected an abnormal regular signal, and the corresponding load swing average was stably maintained at 0.25°, exceeding the preset normal upper limit. The system then retrieved the historical data and found a total of 8 test records under this load in the past year. The load swing average was accurately fixed at 0.25° without any fluctuation (the normal allowable fluctuation should be within ±0.01°). As a result, the system locked the abnormality of this 50N.m load condition and generated load abnormality information, recording in detail the time of each occurrence of the load, the equipment operating time, the surrounding environment temperature, etc., and packaged it for transmission to the output unit. Subsequent investigation found that the magnetic powder brake corresponding to the load was miscalibrated, and the long-term applied torque deviated from the standard value, causing the swing to be abnormally stable at a high state.

[0029] The method for analyzing abnormal and irregular signals is: obtaining historical data, determining changes in the load swing mean value based on the historical data, and generating test abnormality results based on the changes.

[0030] When the load switches in the range of 20-40N·m, the system frequently sends abnormal and irregular signals. Analysis of historical data shows that the load swing mean in this range fluctuates like a "roller coaster", sometimes jumping from 0.1° to 0.3° in an instant, and then falling to 0.08°, with no stable change trend, and the data discreteness is as high as 0.12° (normal should be within 0.03°). Based on this chaos, the system generates test results, using visual charts to show the chaotic fluctuations of historical swing means, and speculates that the cause of the fault may be uneven gear processing accuracy. The meshing state randomly switches between good and bad under different loads, resulting in disordered changes in the swing mean, helping technicians to accurately locate problems and implement repair measures.

[0031] The test result output unit is used to display the acquired test results to the corresponding operator.

[0032] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0033] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0034] The above embodiments are only used to illustrate the technical method 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 method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A swing test system for photovoltaic reducer, characterized in that: include: The no-load test analysis unit is used to analyze the swing test parameters transmitted by the detection information acquisition unit, to judge the overall situation of the reducer by measuring and analyzing the swing amount of the reducer under no-load conditions, and to generate normal no-load swing results and abnormal no-load swing results, to transmit the obtained normal no-load swing results to the comprehensive analysis and processing unit, and to transmit the abnormal no-load swing results to the test result output unit; A comprehensive analysis and processing unit is used to analyze the normal no-load swing results obtained, and to generate load swing analysis results by combining the swing amount of the reducer under different load conditions, and to transmit the abnormal load results to the secondary analysis and processing unit, and to analyze the normal load results, and to generate test information by analyzing and identifying the relationship curve of the deceleration, and then to transmit the test information to the test result output unit; The secondary analysis and processing unit analyzes the abnormal load results obtained, and numerically classifies the load swing mean values ​​corresponding to the abnormal load results. At the same time, it analyzes the changes in the classified values ​​in combination with historical data, generates corresponding test results, and transmits the test abnormal results to the test result output unit.

2. A photovoltaic reducer swing test system according to claim 1, characterized in that: It also includes a detection information acquisition unit and a test result output unit; The detection information acquisition unit is used to obtain the swing test parameters of the reducer, and transmit the obtained swing test parameters to the no-load test analysis unit and the load test analysis unit; The test result output unit is used to display the abnormal cause information, normal test results and abnormal test results to the corresponding operators.

3. A photovoltaic reducer swing test system according to claim 1, characterized in that: The specific method in which the no-load test analysis unit analyzes the swing test parameters is as follows: According to the specifications and test requirements of the reducer, determine the speed range of the test, set the forward and reverse angles, then turn on the reducer. After the forward rotation is completed, immediately drive the input shaft to reverse, and at the same time obtain the data of the angle measuring instrument and record it as the swing amount. In this way, the reducer is tested multiple times, and the corresponding swing amount of the test is obtained, recorded as Bi, and i=1, 2, ..., j, where j represents the number of tests. Then, the average swing amount corresponding to all test times i is calculated and recorded as Bp. At the same time, the calculated average swing amount is compared with the preset value to generate normal no-load swing results and abnormal no-load swing results.

4. A photovoltaic reducer swing test system according to claim 2, characterized in that: The specific method of comparing the swing amount mean value with the preset value by the no-load test analysis unit is: If the mean value of the swing amount is greater than the preset value, and includes the case where it is equal to the preset value, it means that the corresponding swing amount when the reducer is no-load is abnormal, and an abnormal no-load swing result is generated. Conversely, if the mean value of the swing amount is less than the preset value, it means that the corresponding swing amount when the reducer is no-load is normal, and a normal no-load swing result is generated.

5. A photovoltaic reducer swing test system according to claim 1, characterized in that: The specific method in which the comprehensive analysis processing unit analyzes the normal no-load swing result is as follows: Obtain the normal no-load swing result, and set different loads as a, and a=1, 2, ..., b, where b represents different loads. When the load is set, drive the input shaft to rotate forward and reverse. During the reversal process, the angle that the input shaft rotates when the output shaft starts to reverse is also recorded as the load swing amount. At the same time, multiple measurements are performed and the average value obtained by the measurements is calculated and recorded as the load swing average value. At the same time, the load swing average value is compared with the preset value; If the load swing mean value is greater than the preset value, and includes the case where it is equal to the preset value, an abnormal load result is generated; otherwise, if the load swing mean value is less than the preset value, a normal load result is generated; In this way, different loads are compared, and the abnormal load results are transmitted to the secondary analysis and processing unit, and the normal load results are analyzed.

6. A photovoltaic reducer swing test system according to claim 1, characterized in that: The specific method in which the comprehensive analysis processing unit analyzes the normal load result is: A corresponding coordinate system is established with load a as the horizontal coordinate and the load swing mean value corresponding to load a as the vertical coordinate, and a relationship curve is drawn at the same time, and the obtained relationship curve is identified. If the obtained relationship curve is in a positive proportional relationship, it means that the swing test of the reducer under load is normal, and normal test information is generated at the same time, and the normal test information is transmitted to the test result output unit. On the contrary, if the relationship curve is not in a positive proportional relationship, it means that the swing test of the reducer under load is abnormal, and an abnormal analysis signal is generated at the same time; Then, the generated abnormal analysis signal is processed to obtain the specific change relationship corresponding to the non-proportional relationship, including the mutation relationship and the reverse change relationship. At the same time, historical data is obtained, and the abnormal cause is generated in combination with the historical data. Then, the abnormal cause information is transmitted to the test result output unit.

7. A photovoltaic reducer swing test system according to claim 1, characterized in that: The specific method in which the secondary analysis processing unit analyzes the abnormal load result is: Obtain the abnormal load result, and at the same time obtain the load swing mean corresponding to the abnormal load result, and determine whether there is a load swing mean with the same value. If so, generate an abnormal regular signal, otherwise generate an abnormal irregular signal, and analyze the two separately.

8. A photovoltaic reducer swing test system according to claim 7, characterized in that: The specific method in which the secondary analysis processing unit analyzes the abnormal regular signal and the abnormal irregular signal is: Analyze the abnormal regular signal, obtain historical data, and simultaneously obtain the load swing mean with the same value, and judge the change of the load swing mean in the historical data. If the load swing mean remains unchanged, obtain the load value corresponding to the load swing mean with the same value, and generate load abnormality information at the same time. If the load swing mean increases, generate abnormal loss information, and combine to obtain the test abnormality result, and then transmit the test abnormality result to the test result output unit; Analyze abnormal and irregular signals, obtain historical data, determine changes in the load swing mean based on historical data, and generate test abnormality results based on the changes.

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