Production quality management method of photovoltaic inverter and related product

Abstract

The invention relates to a production quality management method, a computer program and equipment in the production process of a photovoltaic inverter. The production quality management method comprises the steps that a plurality of tested photovoltaic inverters arranged on a detection platform are in communication connection with detection equipment; the detection device determines the online rates of the plurality of tested photovoltaic inverters according to the communication connection state; judging whether the online rate of the photovoltaic inverter meets a preset online rate requirement or not; under the condition that the online rates of the plurality of photovoltaic inverters on the detection platform meet the production test requirements of the photovoltaic inverters, obtaining a test scheme of the tested photovoltaic inverters; executing the test scheme, and recording process data of the tested photovoltaic inverter in the process of executing the test scheme by using the detection equipment; and the process data is used as a basis for production quality management evaluation. According to the invention, the efficiency and accuracy of photovoltaic inverter production testing can be effectively improved. And the production quality can be evaluated through process data.

Description

Technical Field

[0001] The present invention relates to the field of electrical performance testing, and particularly to a production quality management method during the production process of a photovoltaic inverter. Background Art

[0002] An intelligent factory is a modern production site integrating advanced technologies and innovative management models. Among them, the inverter intelligent factory aims to produce photovoltaic inverters efficiently and with high quality to meet the growing demand of the clean energy market. In terms of hardware facilities, the intelligent factory is equipped with automated production equipment, such as high-precision chip mounters, advanced welding robots, intelligent material flow systems, intelligent testing systems, etc. The intelligent factory deploys an advanced digital manufacturing management platform, which comprehensively covers production planning, logistics scheduling, real-time production monitoring, product quality inspection, and finished product tracking. Intelligent product testing is also an important part of the intelligent factory.

[0003] As the core device in a solar photovoltaic power generation system, a photovoltaic inverter is used to convert the direct current generated by solar panels into alternating current so that it can be integrated into the power grid or used by a load. Its performance and stability are directly related to the power generation efficiency and operation reliability of the entire photovoltaic power generation system. During the production process of a photovoltaic inverter, production testing is a key link to ensure its quality and stability. The purpose of production testing is to simulate various complex environments and working conditions that a photovoltaic inverter may encounter during actual operation, expose potential defects and faults in advance, and thus improve the reliability and stability of the product.

[0004] However, there are some deficiencies in the current production quality management methods for photovoltaic inverters. On the one hand, traditional production quality management methods usually adopt the method of testing each device one by one, which has problems such as low testing efficiency and insufficient resource utilization, and it is difficult to meet the needs of large-scale production. And when testing a photovoltaic inverter, there may be a situation where it fails to detect that the photovoltaic inverter has not been normally put on the line for testing, resulting in ineffective testing of the unlined photovoltaic inverter, thereby reducing the testing efficiency; on the other hand, in some production quality management methods in this field, the process data during the production testing process is not stored and analyzed in a timely manner, which may lead to the loss of test data due to equipment power failure, system failure, or human operation errors, and it is not conducive to discovering systematic quality problems in the production process. Summary of the Invention

[0005] An object of the present invention is to overcome at least one defect in the prior art, and provide a production quality management method, a computer program product, a computer-readable storage medium, and a computer device for a photovoltaic inverter.

[0006] A further object of the present invention is to enable multiple photovoltaic inverter devices to perform production testing simultaneously.

[0007] Another further object of the present invention is to ensure the on-line rate of the photovoltaic inverter device during the production test process, so that while quickly screening out the problematic devices, the energy consumption of the faulty devices can be reduced.

[0008] Another further object of the present invention is to store the process data generated during the production test process, and generate a detection result report on the display interface through a visualization program for the data, which is beneficial to analyze the process data and monitor in real time the possible quality problems during the production process.

[0009] In particular, the present invention provides a production quality management method for a photovoltaic inverter, including: communicatively connecting a plurality of photovoltaic inverters under test arranged on a detection platform with detection equipment; determining the on-line rate of the plurality of photovoltaic inverters under test by the detection equipment according to the communication connection status; judging whether the on-line rate of the photovoltaic inverter meets a preset on-line rate requirement; obtaining a test scheme for the photovoltaic inverter under test when the on-line rates of the plurality of photovoltaic inverters on the detection platform meet the production test requirements of the photovoltaic inverter; executing the test scheme, and using the detection equipment to record the process data of the photovoltaic inverter under test during the execution of the test scheme; using the process data as the basis for production quality management evaluation.

[0010] Optionally, the step of using the detection equipment to record the process data of the photovoltaic inverter under test during the execution of the test scheme includes: collecting process data, where the process data includes: electrical parameters, operating status, and dynamic response data of the photovoltaic inverter; storing the process data in a pre-configured database.

[0011] Optionally, after the step of storing the process data in a pre-configured database, it further includes: generating a detection result report on the display interface of the detection equipment through a visualization program for the process data stored in the database.

[0012] Optionally, before the step of determining the on-line rate of the plurality of photovoltaic inverters under test by the detection equipment according to the communication connection status, it further includes: when the photovoltaic inverter under test and the detection equipment are in a communication connection state, comparing the device information of the plurality of photovoltaic inverters on the detection platform with the device information of the photovoltaic inverter pre-stored in the detection equipment, and obtaining the on-line rate according to the result of the information comparison; the device information of the photovoltaic inverter includes: model, production batch, and serial number of the photovoltaic inverter.

[0013] Optionally, when the online rate of multiple photovoltaic inverters on the detection platform does not meet the production test requirements of the photovoltaic inverters, self-check the photovoltaic inverters and re-determine whether the online rate of the photovoltaic inverters meets the preset online rate requirements; the self-check of the photovoltaic inverters includes: connection self-check, input voltage and current self-check, inverter status self-check, and inverter restart.

[0014] Optionally, the test plan includes an aging test plan; and the steps for obtaining the aging test plan include: obtaining the overall machine aging test requirements of multiple photovoltaic inverters to be tested arranged on the detection platform; generating an overall machine aging test plan according to the overall machine aging test requirements of the photovoltaic inverters, and performing an aging test on the photovoltaic inverters according to the overall machine aging test plan.

[0015] Optionally, the steps for obtaining the overall machine aging test requirements of multiple photovoltaic inverters to be tested arranged on the detection platform include: obtaining the operating environment of multiple photovoltaic inverters on the detection platform; obtaining the aging test requirements corresponding to the operating environment of multiple photovoltaic inverters on the detection platform, and the aging test requirements include: aging temperature and aging duration.

[0016] Optionally, after the step of generating an overall machine aging test plan according to the overall machine aging test requirements of the photovoltaic inverters, it further includes: obtaining the aging test requirements of the power devices in the photovoltaic inverters; correcting the aging duration of the power devices to the equivalent aging duration at the aging temperature of the overall machine aging test; comparing the aging duration of the overall machine aging test and the equivalent aging duration; when the aging duration of the overall machine aging test is greater than or equal to the equivalent aging duration, using the overall machine aging test plan as the detection plan for the photovoltaic inverters.

[0017] Optionally, when the aging duration of the overall machine aging test is less than the equivalent aging duration, it further includes: generating a power device aging test plan according to the aging test requirements of the power devices; integrating the overall machine aging test plan and the power device aging test plan to obtain the detection plan for the photovoltaic inverters.

[0018] According to another aspect of the present invention, there is also provided a computer program product, and when the computer program is executed by a processor, it implements the steps of the production quality management method for photovoltaic inverters according to any one of the above.

[0019] According to still another aspect of the present invention, there is also provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the production quality management method for photovoltaic inverters according to any one of the above.

[0020] According to another aspect of the present invention, there is also provided a computer device, including a memory, a processor, and a computer program stored on the memory, and the processor executes the computer program to implement the steps of the production quality management method of the photovoltaic inverter according to any one of the above.

[0021] For the production quality management method of the photovoltaic inverter provided by the present invention, first, a plurality of photovoltaic inverters to be tested arranged on the detection platform are communicatively connected to the detection device; the detection device determines the online rate of the plurality of photovoltaic inverters to be tested according to the communication connection status; determines whether the online rate of the photovoltaic inverter meets the preset online rate requirement; when the online rates of the plurality of photovoltaic inverters on the detection platform meet the production test requirements of the photovoltaic inverter, obtains the test scheme of the photovoltaic inverter to be tested; executes the test scheme, and uses the detection device to record the process data of the photovoltaic inverter to be tested during the execution of the test scheme; uses the process data as the basis for production quality management evaluation. This method can also improve the efficiency of the production test of the photovoltaic inverter by communicatively connecting a plurality of photovoltaic inverters to be tested arranged on the detection platform to the detection device, and meet the test requirements of large-scale production. Compared with the traditional test method of the photovoltaic inverter, the online status of multiple photovoltaic inverters can be obtained simultaneously, and multiple photovoltaic inverters can be tested simultaneously. Compared with the method of only performing production tests on one photovoltaic inverter each time, this method can significantly improve the efficiency of production tests. By analyzing the data during the production test, production managers can clearly understand the details of the production test, providing a basis for quality management evaluation for production test personnel.

[0022] Further, the step of using the detection device to record the process data of the photovoltaic inverter to be tested during the execution of the test scheme includes: collecting process data, where the process data includes: electrical parameters, operating status, and dynamic response data of the photovoltaic inverter; storing the process data in a pre-configured database. By this method, the test data will not be lost due to equipment power failure, system failure, or human operation errors, and technicians can conduct a systematic analysis of the photovoltaic inverters in this batch based on the process data in the database, which helps technicians quickly discover systematic quality problems and quickly improve the production process.

[0023] Further, after the step of storing the process data in a pre-configured database, it further includes: generating a detection result report of the process data stored in the database on the display interface through a visualization program. This can enable technicians to clearly and intuitively obtain the production test situation of the plurality of photovoltaic inverters arranged on the detection platform.

[0024] Those skilled in the art will become more apparent about the above and other objects, advantages, and features of the present invention from the following detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings. Brief Description of the Drawings

[0025] Some specific embodiments of the present invention will be described in detail hereinafter with reference to the accompanying drawings in an illustrative rather than restrictive manner. The same reference numerals in the drawings denote the same or similar components or parts. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0026] Figure 1 is a schematic connection diagram of a detection platform and a detection device applying an embodiment of the present invention;

[0027] Figure 2 is a schematic flowchart of a production quality management method for a photovoltaic inverter according to an embodiment of the present invention;

[0028] Figure 3 is a schematic data flow diagram in the production quality management method for a photovoltaic inverter according to an embodiment of the present invention;

[0029] Figure 4 is a schematic flowchart of generating an aging test plan in the production quality management method for a photovoltaic inverter according to an embodiment of the present invention;

[0030] Figure 5 is a schematic flowchart of a production quality management method for a photovoltaic inverter according to another embodiment of the present invention;

[0031] Figure 6 is a schematic diagram of a computer program product according to an embodiment of the present invention;

[0032] Figure 7 is a schematic diagram of a computer-readable storage medium according to an embodiment of the present invention; and

[0033] Figure 8 is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Description of the Embodiments

[0034] Those skilled in the art should understand that the embodiments described hereinafter are only a part of the embodiments of the present invention, rather than all the embodiments of the present invention. These part of the embodiments are intended to explain the technical principles of the present invention, rather than to limit the protection scope of the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts should still fall within the protection scope of the present invention.

[0035] It should be noted that the logic and / or steps represented in the flowchart or described in other ways herein can be considered as a definite sequence list of executable instructions for implementing logical functions, which can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or used in combination with these instruction execution systems, apparatus, or devices.

[0036] In a production quality management method of a photovoltaic inverter provided by the present invention, it includes a detection platform 300 and a detection device 100. Figure 1 It is a schematic connection diagram of the detection platform and the detection device applying an embodiment of the present invention. Among them, the detection platform 300 is communicatively connected to the detection device 100. An aging rack 400 is arranged on the detection platform 300, and multiple photovoltaic inverters to be tested 200 are placed on the aging rack 400. The detection device 100 is respectively connected to a database and a display interface, so that the process data during the execution of the test plan can be stored in the database and displayed through the display interface. Among them, the detection platform 300 is the core part of the test, which is used to carry the aging rack 400. Multiple photovoltaic inverters to be tested 200 are placed on the aging rack 400, and provide the physical connection and electrical connection required for the test. The detection device 100 is used to execute the test plan and collect the process data during the test. The collected process data can be stored in the database through a duplex or half-duplex communication method, so that users can query the process data of a certain test at any time. Further, through the display interface connected to the detection device 100, the operator can monitor the progress and results of the test in real time and promptly discover abnormal situations that occur during the test.

[0037] The present invention provides a production quality management method of a photovoltaic inverter. Figure 2 It is a schematic flowchart of the production quality management method of a photovoltaic inverter according to an embodiment of the present invention, as Figure 2 shown, the production quality management method of the photovoltaic inverter at least includes the following steps S101 to step S107.

[0038] Step S101, communicatively connect multiple photovoltaic inverters to be tested arranged on the detection platform with the detection device. By communicatively connecting the detection device with multiple photovoltaic inverters to be tested, the detection platform can simultaneously perform production detection on multiple photovoltaic inverters, improving the production detection efficiency of the photovoltaic inverters.

[0039] Step S102: The detection device determines the online rate of multiple PV inverters to be measured based on the communication connection status. Through the online rate of the PV inverters to be measured, the tester can grasp the communication connection status of each PV inverter in real time, and can also reasonably allocate detection resources according to the online rate to avoid resource waste. For example, during the production test of PV inverters, if it is detected that some PV inverters are not online, the online PV inverters can be preferentially detected. After detecting the online PV inverters, the troubleshooting of the non-online PV inverters can be concentrated. Or, when a large number of PV inverters are detected to be not online, it indicates that there may be systematic problems with the batch of PV inverters to be detected, and the faults need to be excluded first before the production test of the PV inverters. Among them, the online rate of the PV inverter can be obtained from the communication connection status between the PV inverter and the detection device. For example: There are 100 PV inverters arranged on the detection platform, and the detection device can detect that 90 PV inverters are in the online state, then the online rate of this batch of PV inverters can be considered as 95%.

[0040] Step S103: Determine whether the online rate of the PV inverter meets the preset online rate requirement. First, judge the online rate of the PV inverter. If the online rate meets the preset online rate requirement, the next test step can be carried out. If the online rate does not meet the preset online rate requirement, it proves that there may be systematic problems with this batch of PV inverters, and the tester is reminded to check the batch of PV inverters to be tested before the production test. For example: During the production test of a batch of PV inverters, the preset online rate requirement is 80%. If the online rate of this batch of PV inverters is detected to be 90%, the online PV inverters can be first subjected to the production test. After the production test is completed, the troubleshooting of the 10% non-online PV inverters can be carried out. Or, the preset online rate requirement is 80%. If the online rate of this batch of PV inverters is detected to be 60%, it proves that there may be systematic problems with this batch of PV inverters or there may be problems with the production process of this batch of PV inverters. Before the tester conducts the production test on this batch of PV inverters, the faults of this batch of PVs need to be troubleshot. After solving the systematic problems existing in this batch of PV inverters and ensuring that the online rate of the PV inverters meets the preset online rate requirement, the next step of the production detection can be continued.

[0041] Step S104: Obtain the test plan for the PV inverter to be measured. Under the condition that the above-mentioned online rate meets the preset online rate requirement, obtain the test plan for the PV inverter to be measured.

[0042] Step S105: Execute the test plan. After obtaining the test plan for the photovoltaic inverter under test, execute this test plan to start the production test of this batch of photovoltaic inverters.

[0043] Step S106: Use the detection equipment to record the process data of the photovoltaic inverter under test during the execution of the test plan. Through the recorded process data, various parameters of the inverter during the production test can be comprehensively grasped, so that technicians can optimize the deficiencies of the photovoltaic inverter according to the recorded process data during the subsequent R & D process. For example, during the production test of the photovoltaic inverter, information such as the temperature, humidity, and load change during the production test of the photovoltaic inverter can be recorded, and the failure rate of the photovoltaic inverter under different environmental conditions can be clearly understood. When a batch of photovoltaic inverters is to be shipped to a specific region, the performance of the photovoltaic inverter can be fine-tuned according to the recorded process data of the photovoltaic inverter to make it more suitable for the environmental requirements of this region, making the test results of this batch of photovoltaic inverters more accurate.

[0044] Step S107: Use the process data as the basis for production quality management evaluation. The production quality management evaluation is used to establish an evaluation framework for the production quality of the photovoltaic inverter, and the above process data is used as part of the basis data for this evaluation. If through the analysis of the process data, it is found that the test pass rate is less than the preset pass threshold, or there are too many abnormal situations during the test process, the quality evaluation level of this batch of photovoltaic inverters will be correspondingly reduced for quality traceability and further optimization of the subsequent production process / design plan.

[0045] After the production test, the production quality management can also be evaluated according to the process data generated during the production process, so that the management personnel of the production test can judge the possible design defects or deficiencies in the production test process of the photovoltaic inverter based on the process data, and conduct targeted optimization design for the possible defects or deficiencies. For example, if the production management personnel learn from the process data that the failure rate of the photovoltaic inverter during the production test is relatively high within a certain period of time, then key inspections need to be carried out on this batch of photovoltaic inverters, and targeted optimization of the possible design defects or deficiencies in the control method of the photovoltaic inverter needs to be carried out.

[0046] In some alternative embodiments, the steps of using a detection device to record the process data of the photovoltaic inverter under test during the execution of the test scenario include: collecting the process data, where the process data includes: electrical parameters, operating status, and dynamic response data of the photovoltaic inverter; and storing the process data in a pre-configured database. Through the above method, the performance of the photovoltaic inverter can be comprehensively evaluated and faults can be quickly diagnosed. For example: during the production test of the photovoltaic inverter, parameters such as electrical parameters, operating status, and dynamic response data are stored in a pre-configured database through a data storage language. For example, the process data is made into an electronic file archive and stored in a pre-configured database through statements such as SQL (Structured Query Language) or XML (Extensible Markup Language) for subsequent analysis and optimization. For example, when it is found that the operating efficiency of a certain batch of photovoltaic inverters is low, the test data of this batch can be matched and analyzed with the data in the database to quickly find the reason for the low operating efficiency of this batch of photovoltaic inverters and match the corresponding diagnostic methods, thereby improving the efficiency of product quality inspection.

[0047] After the step of storing the process data in a pre-configured database, it further includes: generating a detection result report of the process data stored in the database on the display interface of the detection device through a visualization program.

[0048] For example: after the production test of a certain batch of photovoltaic inverters, the process data is stored in a pre-configured database for data retention. After that, the process data can also be converted into a visual format such as a table or a data graph through a visualization program and displayed to the production test personnel through the display interface of the detection device, enabling the production test personnel to timely discover potential laws and existing anomalies in the process data, timely discover hidden problems, and help further improve product quality.

[0049] In some other preferred embodiments, before the step of determining the online rate of multiple photovoltaic inverters to be measured by the detection device according to the communication connection status, the following steps are further included: when the photovoltaic inverters to be measured and the detection device are in a communication connection state, compare the device information of multiple photovoltaic inverters on the detection platform with the device information of the photovoltaic inverters pre-stored in the detection device, and obtain the online rate according to the result of the information comparison; the device information of the photovoltaic inverter includes: the model, production batch, and serial number of the photovoltaic inverter. The online rate can be obtained by using automatic comparison, reducing the steps of manual verification, and effectively improving the overall detection efficiency. Moreover, the device information and the comparison result can be recorded, which is helpful for subsequent information analysis and traceability. For example: during the production test of the photovoltaic inverter, the device information of the photovoltaic inverter, that is, the information such as the model, production batch, and serial number of the photovoltaic inverter, can be pre-stored in the detection device. Before the test starts, first compare the device information of multiple photovoltaic inverters on the detection platform with the pre-stored device information. Suppose there are 100 photovoltaic inverters on the detection platform, and the detection device successfully connects and compares the information of 95 photovoltaic inverters, then the online rate of this batch of photovoltaic inverters is 95%. When the online rate meets the preset online rate requirement, after the production test of this batch of photovoltaic inverters, the remaining 5 photovoltaic inverters are separately subjected to fault analysis. By comparing the device information, the faulty devices can be quickly found, reducing the verification process and effectively improving the production efficiency of the test.

[0050] In some other preferred embodiments, when the online rate of multiple photovoltaic inverters on the detection platform does not meet the production test requirements of the photovoltaic inverter, perform self-check on the photovoltaic inverter and re-determine whether the online rate of the photovoltaic inverter meets the preset online rate requirement; the self-check on the photovoltaic inverter includes: connection self-check, input voltage and current self-check, inverter status self-check, and inverter restart. The inventor realizes that when the online rate is low and the production test cannot be carried out. On the one hand, it may be because there may be design defects in this batch of photovoltaic inverters; on the other hand, the reason may be due to the poor electrical connection between the photovoltaic inverter and the detection platform. Therefore, when the online rate of the photovoltaic inverter does not meet the preset online rate requirement, the influence factors of the poor electrical connection between the photovoltaic inverter and the detection platform can be excluded by performing self-check on the photovoltaic inverter. If the online rate requirement still cannot be met after repeatedly performing self-check on the photovoltaic inverter for many times, it means that there may be design defects in this batch of photovoltaic inverters, resulting in the problem that this batch of photovoltaic inverters generally cannot go online. At this time, technical personnel need to conduct a comprehensive inspection on this batch of photovoltaic inverters and optimize the existing defects.

[0051] An example is given to illustrate the production test process of the photovoltaic inverter. Figure 3Schematic diagram of data flow in the production quality management method of a photovoltaic inverter according to an embodiment of the present invention; in this process, the production test plan includes:

[0052] Step S201, the detection device sends a startup instruction to the photovoltaic inverter. After the photovoltaic inverter is powered on, it executes Step S202 and requests to go online to the detection device. At this time, the detection device counts the online requests of each photovoltaic inverter to obtain the online rate. When the online rate meets the preset online rate requirement, the production test is started. The process data generated during the production test is transmitted to the detection device, stored in a pre-configured database, and a data graph for users to read is generated on the display interface through a visualization program.

[0053] Generally speaking, the production test plan for photovoltaic inverters mainly conducts aging tests on photovoltaic inverters. Figure 4 Schematic diagram of the process for generating an aging test plan in the production quality management method of a photovoltaic inverter according to an embodiment of the present invention; in this process, the production test plan includes an aging test plan, and the steps for obtaining the aging test plan may include:

[0054] Step S301, obtain the overall machine aging test requirements of multiple photovoltaic inverters to be tested arranged on the detection platform. By obtaining the overall machine aging test requirements of a single photovoltaic inverter, Step S302 can be further implemented to generate an overall machine aging test plan according to the overall machine aging test requirements of the photovoltaic inverter. The complete working state of the photovoltaic inverter during actual operation can be simulated, making the test results more accurate and reliable. On this basis, Step S303 is implemented to conduct an aging test on the photovoltaic inverter according to the overall machine aging test plan. This is beneficial to the improvement of product quality and the improvement of production test efficiency.

[0055] In some optional embodiments, the step of obtaining burn-in test requirements for multiple photovoltaic inverters under test arranged on a testing platform includes: obtaining the operating environment of the multiple photovoltaic inverters on the testing platform; and obtaining burn-in test requirements for the multiple photovoltaic inverters on the testing platform corresponding to the operating environment, wherein the burn-in test requirements include burn-in temperature and burn-in duration. These steps allow for the specification of burn-in test requirements based on different operating environments during the burn-in test process. The most important burn-in test requirements for the burn-in test process are the burn-in temperature and burn-in duration. By obtaining the burn-in temperature and burn-in duration during the burn-in process, the burn-in test results can be quickly obtained. For example, for a batch of photovoltaic inverters, based on their operating environment, it is determined that the photovoltaic inverters are burn-in tested under conditions of a burn-in duration of 12 hours and an burn-in temperature of 60°C. That is, the most suitable burn-in test temperature for the photovoltaic inverters is 60°C. If the burn-in test duration reaches 12 hours at this temperature without any failure, the photovoltaic inverters are considered to have passed the burn-in test. The test process can also be closely monitored so that production testers can promptly detect any abnormalities.

[0056] Generally speaking, the production test plan for photovoltaic inverters mainly performs aging tests on the photovoltaic inverter as a whole. However, during the aging test of photovoltaic inverters, the impact of important components in the photovoltaic inverter (such as power devices) on the aging test should also be considered. Figure 5 1 is a flow chart of generating an aging test plan in a production quality management method for a photovoltaic inverter according to an embodiment of the present invention; after the step of generating a whole-machine aging test plan according to the whole-machine aging test requirements of the photovoltaic inverter, the method further includes steps S401 to S406:

[0057] Step S401: Obtain aging test requirements for power devices in a photovoltaic inverter.

[0058] Step S402 : Correcting the aging time of the power device to an equivalent aging time at the aging temperature of the whole device aging test.

[0059] Step S403 , determining whether the aging time of the whole-machine aging test is greater than or equal to the equivalent aging time.

[0060] Step S403: When the aging time of the whole-machine aging test is greater than or equal to the equivalent aging time, the whole-machine aging test solution is used as the detection solution for the photovoltaic inverter.

[0061] Step S404 : when the aging time of the whole device aging test is less than the equivalent aging time, generating a power device aging test plan according to the aging test requirements of the power device.

[0062] Step S404: Integrate the whole-machine aging test plan and the power device aging test plan to obtain the detection plan for the photovoltaic inverter.

[0063] Among them, when integrating the whole-machine aging test plan and the power device aging test plan, the order of these two aging plans can be arranged according to the aging temperatures of the whole-machine aging test plan and the power device aging test plan. For example: when the aging temperature of the whole-machine aging test plan is lower than that of the power device aging test plan, the whole-machine aging test plan can be run first, and then the power device aging test plan. Another example: still taking the aging temperature of the whole-machine aging test plan being lower than that of the power device aging test plan as an example, the whole-machine aging test plan can be run for a period of time first, then the power device aging test plan, and finally the whole-machine aging test plan.

[0064] The inventor further realized that there may be some limitations in only testing the whole photovoltaic inverter, which may lead to the inability to deeply detect potential problems of key components (such as power devices). Optimizing the test plan to a combination of whole-machine aging test and power device aging test can make the production quality management method of this application have a more comprehensive reliability assessment, be able to discover deeper potential problems, and contribute to further improving product quality. Among them, power devices mainly include: IGBT (Insulated Gate Bipolar Transistor), MOSFET (Metal Oxide Semiconductor Field Effect Transistor), etc.

[0065] For example: the aging temperature of the power device in the photovoltaic inverter is 100°C, the aging duration is 6h, the whole-machine aging temperature is 50°C, and the aging duration is 24h. Correct the aging duration of the power device to the equivalent aging duration under the aging condition of 50°C. If the equivalent aging duration is greater than 24h, generate the power device aging test plan according to the aging test requirements of the power device, integrate the whole-machine aging test plan and the power device aging test plan to obtain the detection plan for the photovoltaic inverter. If the equivalent aging duration is less than or equal to 24h, use the whole-machine aging test plan as the detection plan for the photovoltaic inverter.

[0066] In the above process of correcting the aging duration of the power device to the equivalent aging duration at the aging temperature of the whole-machine aging test, the temperature conversion coefficients of the whole-machine test and the power device test can be determined first, and then converted to the aging duration under the same temperature condition for comparison. For example, the aging temperature conversion coefficient is obtained according to the formula {1 + (aging temperature of the power device - aging temperature of the whole machine) / aging temperature of the whole machine}, that is, the temperature conversion coefficient of the power device is {1 + (100°C - 50°C) / 50°C} = 2, and the converted duration is the product of the aging duration of the power device and the above calculated temperature conversion coefficient.

[0067] Another step of conversion is to pre-configure the aging temperature conversion coefficients corresponding to the power devices in each temperature range, so as to compare the aging duration of the power devices and the whole machine under the same temperature condition. A specific example of the aging temperature conversion coefficient configuration is shown in Table 1.

[0068] Table 1

[0069] 100℃ 65℃ 50℃ 100℃ 1 1.6 2

[0070] It can be seen from the table that the conversion coefficient of the aging temperature of 100 °C corresponding to the aging temperature of 50 °C is 2. The converted duration is the product of the aging duration and the temperature conversion coefficient calculated above. It should be noted that the specific values in the above examples are only for illustration, and those skilled in the art can configure the specific aging test requirements according to the specific specifications and models of the photovoltaic inverter, the operating environment, and the performance of the devices. Therefore, the test parameters of the above specific device types and their aging test requirements do not limit the solution of the present invention.

[0071] In some other alternative embodiments, the step of integrating the whole machine aging test plan and the power device aging test plan may include: taking the power device aging test plan as the front section of the aging test plan; and taking the whole machine aging test plan as the rear section of the aging test plan, so that when executing the aging test plan, after the power device aging test plan is executed, the whole machine aging test plan is executed. This is because the aging temperature of the power device is generally higher than the temperature of the whole machine test. If the power device passes the front section test, the whole machine aging test can focus on the system performance, reduce unnecessary long-term tests, and thus reduce the overall test cost.

[0072] In some other alternative embodiments, the step of integrating the whole machine aging test plan and the power device aging test plan may further include: comparing the aging temperature of the whole machine aging test plan and the aging temperature of the power device aging test plan; in the case where the aging temperature of the whole machine aging test plan is greater than or equal to the aging temperature of the power device aging test plan, splitting the power device aging test plan into an initial power device aging test plan and an end power device aging test plan, and executing them before and after the whole machine aging test plan respectively, so that when executing the aging test plan, first execute the initial power device aging test plan, then execute the whole machine aging test plan, and finally execute the end power device aging test plan.

[0073] In another case, when the aging temperature of the overall machine aging test plan is lower than that of the power device aging test plan, it further includes: splitting the overall machine aging test plan into an initial overall machine aging test plan and an end overall machine aging test plan, and executing them before and after the power device aging test plan respectively. Thus, when executing the aging test plan, first execute the initial overall machine aging test plan, then execute the power device aging test plan, and finally execute the end overall machine aging test plan.

[0074] Through the above comprehensive method of the aging test plan, the aging test plan with a higher aging temperature (the overall machine aging test plan or the power device aging test plan) can always be in the middle stage of the entire test phase. It can make the test temperature first be in a lower temperature state for aging test, then be in a higher temperature state for aging test, and finally make the aging test temperature drop back to the lower aging test temperature through natural cooling to continue the aging test, which can effectively save energy on the premise of ensuring the test effect.

[0075] The flowchart provided in this embodiment is not intended to indicate that the operations of the method will be executed in any specific order, or that all operations of the method are included in every case. In addition, the method may include additional operations. Within the scope of the technical idea provided by the method in this embodiment, additional changes can be made to the above method.

[0076] It should be understood that in some embodiments, each part can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system.

[0077] This embodiment also provides a computer program product 10, a computer-readable storage medium 20, and a computer device 30. Figure 6 It is a schematic diagram of a computer program product 10 according to an embodiment of the present invention. Figure 7 It is a schematic diagram of a computer-readable storage medium 20 according to an embodiment of the present invention. Figure 8 It is a schematic diagram of a computer device 30 according to an embodiment of the present invention. The computer program product 10 includes a computer program 11, and when the computer program 11 is executed by a processor 32, it realizes the steps of any one of the above production quality management methods of the photovoltaic inverter. The computer-readable storage medium 20 stores the above computer program 11, and when the computer program 11 is executed by a processor 32, it realizes the steps of the production quality management method of the photovoltaic inverter in any one of the above embodiments. The computer device 30 may include a memory 31, a processor 32, and a computer program 11 stored on the memory 31 and running on the processor 32.

[0078] The computer program 11 for performing the operations of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, configuration data of an integrated circuit, or source code or object code written in any combination of one or more programming languages and procedural programming languages. The computer program 11 may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using the Internet through an Internet service provider). In some embodiments, in order to perform aspects of the present invention, an electronic circuit, including for example a programmable logic circuit, a field-programmable gate array (FPGA), or a programmable logic array (PLA), may execute computer-readable program instructions by utilizing the state information of the computer-readable program instructions to personalize the electronic circuit.

[0079] For the description of this embodiment, the computer program product 10 is a related product containing the computer program 11. For the description of this embodiment, the computer-readable storage medium 20 is a tangible device capable of retaining and storing the computer program 11, which may be any device that can contain, store, communicate, propagate, or transport the program 11 for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of the computer-readable storage medium 20 include the following: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanically encoded device, and any suitable combination of the above.

[0080] The computer device 30 can be, for example, a server, a desktop computer, a laptop computer, a tablet computer, or a smart phone. In some examples, the computer device 30 can be a cloud computing node. The computer device 30 can be described in the general context of computer system executable instructions, such as program modules, executed by a computer system. Generally, program modules can include routines, programs, object programs, components, logic, data structures, etc., which perform specific tasks or implement specific abstract data types. The computer device 30 can be implemented in a distributed cloud computing environment where tasks are executed by remote processing devices linked through a communication network. In a distributed cloud computing environment, program modules can be located on local or remote computing system storage media including storage devices.

[0081] The computer device 30 can include a processor 32 adapted to execute stored instructions and a memory 31 that provides temporary storage space for the operation of the instructions during operation. The processor 32 can be a single-core processor, a multi-core processor, a computing cluster, or any number of other configurations. The memory 31 can include random access memory (RAM), read-only memory, flash memory, or any other suitable storage system.

[0082] The computer device 30 can also include a network adapter / interface and an input / output (I / O) interface. The I / O interface allows data to be input and output with external devices that can be connected to the computer device. The network adapter / interface can provide communication between the computer device and a network, which is generally shown as a communication network.

[0083] Up to this point, those skilled in the art should recognize that although multiple exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the present invention can still be directly determined or derived from the content disclosed in the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and determined to cover all these other variations or modifications.

Claims

1. A production quality management method for a photovoltaic inverter, characterized in that Including: Communicatively connecting multiple photovoltaic inverters under test arranged on a detection platform with detection equipment; Determining the online rate of the multiple photovoltaic inverters under test by the detection equipment according to the communication connection status; Judging whether the online rate of the photovoltaic inverter meets the preset online rate requirement; When the online rates of the multiple photovoltaic inverters on the detection platform meet the production test requirements of the photovoltaic inverter, obtaining a test scheme for the photovoltaic inverter under test; Executing the test scheme and using the detection equipment to record the process data of the photovoltaic inverter under test during the execution of the test scheme; Using the process data as the basis for production quality management evaluation.

2. The production quality management method according to claim 1, wherein: The step of using the detection equipment to record the process data of the photovoltaic inverter under test during the execution of the test scheme includes: Collecting the process data, where the process data includes: electrical parameters, operating status, and dynamic response data of the photovoltaic inverter; Storing the process data in a pre-configured database.

3. The production quality management method according to claim 2, wherein: After the step of storing the process data in a pre-configured database, it further includes: Generating a detection result report on the display interface of the detection equipment for the process data stored in the database through a visualization program.

4. The production quality management method according to claim 1, wherein: Before the step of determining the online rate of the multiple photovoltaic inverters under test by the detection equipment according to the communication connection status, it further includes: When the photovoltaic inverter under test and the detection equipment are in the communication connection state, comparing the device information of the multiple photovoltaic inverters on the detection platform with the device information of the photovoltaic inverter pre-stored in the detection equipment, and obtaining the online rate according to the result of the information comparison; The device information of the photovoltaic inverter includes: model, production batch, and serial number of the photovoltaic inverter.

5. The production quality management method according to claim 1, wherein: When the online rates of the multiple photovoltaic inverters on the detection platform do not meet the production test requirements of the photovoltaic inverter, self-checking the photovoltaic inverter and re-judging whether the online rate of the photovoltaic inverter meets the preset online rate requirement; Self-checking the photovoltaic inverter includes: connection self-check, input voltage and current self-check, inverter status self-check, and inverter restart.

6. The production quality management method according to claim 1, wherein: The test scheme includes an aging test scheme; And The step of obtaining the aging test scheme includes: Obtaining the overall machine aging test requirements of the multiple photovoltaic inverters under test arranged on the detection platform; Generating an overall machine aging test scheme according to the overall machine aging test requirements of the photovoltaic inverter and performing an aging test on the photovoltaic inverter according to the overall machine aging test scheme.

7. The production quality management method according to claim 6, wherein the step of obtaining the whole machine aging test requirements of multiple photovoltaic inverters to be tested arranged on the detection platform includes: obtaining the operating environments of the multiple photovoltaic inverters on the detection platform; obtaining the aging test requirements corresponding to the operating environments of the multiple photovoltaic inverters on the detection platform, where the aging test requirements include: aging temperature and aging duration.

8. The production quality management method according to claim 7, wherein after the step of generating a whole machine aging test plan according to the whole machine aging test requirements of the photovoltaic inverter, it further includes: obtaining the aging test requirements of the power devices in the photovoltaic inverter; correcting the aging duration of the power devices to the equivalent aging duration at the aging temperature of the whole machine aging test; comparing the aging duration of the whole machine aging test and the equivalent aging duration; when the aging duration of the whole machine aging test is greater than or equal to the equivalent aging duration, taking the whole machine aging test plan as the detection plan of the photovoltaic inverter.

9. The production quality management method according to claim 8, wherein when the aging duration of the whole machine aging test is less than the equivalent aging duration, it further includes: generating a power device aging test plan according to the aging test requirements of the power devices; integrating the whole machine aging test plan and the power device aging test plan to obtain the detection plan of the photovoltaic inverter.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the production quality management method of the photovoltaic inverter according to any one of claims 1 to 9.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that When the computer program is executed by a processor, it implements the steps of the production quality management method of the photovoltaic inverter according to any one of claims 1 to 9.

12. A computer device, comprising a memory, a processor, and a computer program stored on the memory, characterized in that, The processor executes the computer program to implement the steps of the production quality management method of the photovoltaic inverter according to any one of claims 1 to 9.

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