Method and system for automatically detecting factory performance of refrigerator

Abstract

The invention provides a refrigerator factory performance automatic detection method and system, and the method comprises the steps: transmitting operation state data to a production test server in real time during the operation of a factory detection program through a built-in wireless communication module of a refrigerator; the production test server collects running state data of the multiple refrigerators which are judged to be qualified manually in a factory detection program, extracts a preset range of key parameters based on the running state data, and generates a test parameter set; and comparing the real-time operation state data of the refrigerator to be detected with the test parameter set, and if any key parameter exceeds a preset range, determining that the refrigerator is unqualified. The refrigerator is automatically connected with the production test server at the production line detection station, detection at the freezing stage, the refrigeration stage and the defrosting stage is executed in sequence, efficiency is high, maintenance cost is low, the requirement for variety diversification of refrigerators is met, test efficiency is improved, the problems that a traditional method is high in cost and low in efficiency are solved, the requirement for variety diversification of refrigerators is met, and product quality is improved. And the product quality stability is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of factory performance detection of refrigerators, and more specifically to a method and system for automatic factory performance detection of refrigerators. Background Art

[0002] With the rapid development of the global home appliance market and the diversification of consumer demands, refrigerators, as essential household appliances, are undergoing technological iteration and product expansion. From traditional single-door refrigerators to smart IoT refrigerators, built-in refrigerators, and large-capacity multi-door refrigerators, product functions have expanded from simple refrigeration to comprehensive features such as energy saving, quiet operation, freshness preservation, and intelligent control. This trend places higher demands on testing accuracy and efficiency in the manufacturing process. Factory performance testing is a key step in ensuring the stability of refrigerator refrigeration systems, compliance with energy efficiency standards, and a consistent user experience, directly impacting brand reputation and market competitiveness.

[0003] The current factory inspection protocol for refrigerators utilizes a dedicated test fixture combined with manual parameter configuration. The test fixture typically consists of a customized environmental chamber, a temperature sensor array, a power meter, a data acquisition module, and a control terminal. The test runs continuous tests on refrigerators for 8-12 hours, simulating varying ambient temperatures. Testers manually input parameters such as the target temperature curve, compressor start / stop thresholds, and door seal leakage rate, depending on the model. The fixture connects to the refrigerator's main control board via a wired interface, forcing the refrigeration system to start and collecting data such as evaporator temperature, power consumption, and frost accumulation, ultimately generating a paper report.

[0004] However, this method requires the configuration of corresponding testing tooling when adding new refrigerator models, which greatly increases the testing cost. At the same time, manual parameter configuration is inefficient and labor-intensive, and cannot meet the diverse needs of refrigerator categories. Summary of the Invention

[0005] In order to solve the above-mentioned problems of using inspection tooling and manual parameter configuration to conduct factory inspection of refrigerators, there are high costs, low efficiency, large workload, and inability to meet the diverse needs of refrigerator categories.

[0006] A first aspect of the present application provides a method for automatically detecting factory performance of a refrigerator, comprising:

[0007] Through the refrigerator's built-in wireless communication module, the operating status data is transmitted to the production test server in real time during the factory inspection program;

[0008] The production test server collects operating status data of a plurality of refrigerators that have been manually determined to be qualified during the factory inspection process, extracts a predetermined range of key parameters based on the operating status data, and generates a test parameter set;

[0009] The real-time operating status data of the refrigerator to be tested is compared with the test parameter set, and if any key parameter exceeds the predetermined range, it is determined to be unqualified.

[0010] In a feasible implementation, the method further includes:

[0011] Manual identification is performed on refrigerators that are automatically determined to be unqualified, the test parameter set is adjusted according to the manual identification result, and the updated test parameter set is applied in subsequent inspections.

[0012] In a feasible implementation, the test parameter set is stored in groups according to ambient temperature intervals;

[0013] When the detected ambient temperature spans different intervals, the test parameter set corresponding to the ambient temperature interval is automatically called.

[0014] In a feasible implementation, the factory inspection procedure includes: a freezing compartment cooling stage, a refrigeration compartment cooling stage, and a defrosting heating stage, which are executed in sequence.

[0015] In a feasible implementation, the key parameters include:

[0016] The temperature range of the freezing compartment at the end of the freezing phase of the freezing compartment;

[0017] The temperature range of the refrigerated compartment at the end of the refrigeration phase of the refrigerated compartment;

[0018] Evaporator temperature range of the freezing compartment and the refrigeration compartment when refrigeration stops;

[0019] The heater power range in the defrosting heating stage.

[0020] In a feasible implementation, the method of extracting the predetermined range of the key parameter is:

[0021] Identify and extract from the operating status data: the maximum and minimum values ​​of the freezing compartment temperature, the maximum and minimum values ​​of the refrigerating compartment temperature, the maximum and minimum values ​​of the evaporator temperature, and the maximum and minimum values ​​of the heater power.

[0022] In a feasible implementation, the step of comparing the real-time operating status data of the refrigerator to be tested with the test parameter set and determining the refrigerator as unqualified if any key parameter exceeds the predetermined range includes:

[0023] After the refrigeration stage of the freezing compartment ends, if the temperature of the freezing compartment exceeds the temperature range of the freezing compartment in the test parameter set, it is determined to be unqualified;

[0024] After the refrigeration stage of the refrigeration compartment ends, if the temperature of the refrigeration compartment exceeds the temperature range of the refrigeration compartment in the test parameter set, it is determined to be unqualified;

[0025] When the freezing compartment and the refrigerating compartment stop refrigerating, if the evaporator temperature exceeds the evaporator temperature range in the test parameter set, it is determined to be unqualified;

[0026] In the defrosting heating stage, if the heating power exceeds the power range in the test parameter set, it is judged as unqualified.

[0027] In a feasible implementation, the comparison result of the real-time operating status data of the refrigerator to be tested and the test parameter set is updated in the operating status data of the next stage, and the test parameter set is updated synchronously.

[0028] A second aspect of the present application provides a refrigerator factory performance automatic detection system for executing any of the above refrigerator factory performance automatic detection methods, the system comprising: a wireless communication module and a production testing server, the wireless communication module being built into the refrigerator and being in communication with the production testing server;

[0029] The wireless communication module is used to transmit the operation status data to the production test server during the operation of the factory test program;

[0030] The production test server is configured as follows:

[0031] Collecting operating status data of multiple refrigerators that have been manually determined to be qualified during factory inspection procedures, extracting predetermined ranges of key parameters based on the operating status data, and generating a test parameter set;

[0032] The real-time operating status data of the refrigerator to be tested is compared with the test parameter set, and if any key parameter exceeds the predetermined range, it is determined to be unqualified.

[0033] In a feasible implementation, the wireless communication module is a Wi-Fi, Bluetooth or ZigBee module.

[0034] As can be seen from the above content, the present application provides a method and system for automatic detection of refrigerator factory performance, which builds a complete refrigerator production and testing automation system by integrating wireless communication, dynamic parameter generation, environmental adaptation, manual feedback optimization and other technologies. During the implementation process, the refrigerator automatically connects to the production and testing server at the production line detection station, and performs freezing, refrigeration and defrosting stage detection in sequence. The key parameters of each stage are uploaded to the production and testing server in real time. The production and testing server generates an initial parameter set based on the sample data, and automatically compares the real-time data with the parameter range during the detection process. If the standard is exceeded, an unqualified judgment is triggered. If a misjudgment occurs, the parameter set is adjusted after manual re-inspection to achieve dynamic optimization. At the same time, the system stores parameters in groups according to ambient temperature to ensure detection accuracy under different temperature conditions. The production and testing parameters are mainly automatically generated by the production and testing server, which is efficient and has low maintenance costs. It meets the needs of diversified refrigerator categories and improves testing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are incorporated into and constitute a part of this specification, illustrate embodiments consistent with the implementation of the present invention, and together with the description, serve to explain the principles of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the implementation of the present invention. For those skilled in the art, other drawings can be derived from these drawings without inventive effort.

[0036] Figure 1 This is a flow chart of a method for automatically detecting the factory performance of a refrigerator according to an embodiment of the present application;

[0037] Figure 2 is a flow chart illustrating a method for automatically detecting factory performance of a refrigerator according to another embodiment of the present application;

[0038] Figure 3 This is another embodiment of the present application showing the architecture of the automatic detection system for the factory performance of refrigerators. DETAILED DESCRIPTION

[0039] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present invention will be more comprehensive and complete and to fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of the implementation of the example embodiments of the present invention.

[0040] As a key household appliance, refrigerators require comprehensive performance testing before shipment to ensure effective cooling. Traditional factory inspection methods for refrigerators require dedicated test fixtures for each unit, and test parameters are manually generated. This method incurs high initial hardware and ongoing maintenance costs. Furthermore, since test parameters are primarily manually generated, it lacks flexibility, is labor-intensive, and inefficient, making it unable to meet the diverse needs of refrigerator categories.

[0041] To solve the above problems, refer to Figure 1 As shown, the embodiment of the present application provides a method for automatically detecting the factory performance of a refrigerator, including the steps of:

[0042] S100: Through the wireless communication module built into the refrigerator, the operating status data is transmitted to the production test server in real time during the factory inspection program.

[0043] When a refrigerator enters the inspection station on the production line, the built-in wireless communication module activates, automatically connecting to the production testing server and establishing a communication link. During the inspection process, temperature sensors, power sensors, and other components collect data such as freezer compartment temperature, refrigerator compartment temperature, evaporator temperature, and heater power at a preset sampling frequency, and upload the data to the production testing server in real time via the wireless communication module.

[0044] This step replaces traditional wired test fixtures, enabling contactless data transmission and reducing hardware deployment costs. Traditional methods require dedicated test cables and industrial computers for each refrigerator, resulting in complex on-site equipment and high maintenance costs. This method, which transmits information via wireless communication modules, simplifies test site layout, reduces equipment maintenance workload, and improves production line switching flexibility.

[0045] S200: The production test server collects operating status data of multiple refrigerators that have been manually determined to be qualified during the factory inspection process, extracts a predetermined range of key parameters based on the operating status data, and generates a test parameter set.

[0046] The production test server first receives the operating data of multiple refrigerators that have passed manual inspection during the complete test cycle, and stores them according to the freezer compartment cooling stage, refrigerator compartment cooling stage, and defrost heating stage.

[0047] This step establishes an objective and quantitative performance judgment benchmark, avoiding the problems of strong subjectivity and insufficient sample size in manually generated parameters. It is also more representative based on actual product data.

[0048] S300: Compare the real-time operating status data of the refrigerator to be tested with the test parameter set. If any key parameter exceeds a predetermined range, the refrigerator is judged as unqualified.

[0049] Among them, if any parameter exceeds the range, it will trigger an unqualified judgment and generate a test report containing the specific parameters that exceed the standard, realizing automated performance judgment, improving detection efficiency, reducing manual intervention, and lowering the misjudgment rate.

[0050] This embodiment uses a wireless communication module to establish a data transmission channel between the refrigerator and the production test server, replacing traditional wired test tooling. This reduces the complexity of production line equipment deployment and reduces hardware procurement and maintenance costs. It also automatically generates test parameter sets based on qualified sample data, making parameter setting objective. Performance determination is completed through real-time data comparison, replacing manual recording and judgment. Parameter generation is based on actual product data, eliminating the subjectivity of manual setting. The standardized performance determination process improves test consistency.

[0051] In some embodiments of the present application, reference Figure 2 As shown, the steps include:

[0052] S400: Manually identify the refrigerator that is automatically determined to be unqualified, adjust the test parameter set according to the manual identification result, and apply the updated test parameter set in subsequent tests.

[0053] Specifically, when the production test server determines a refrigerator is unqualified, the production line automatically marks the device and transfers it to a manual re-inspection station. A technician connects to the refrigerator using a portable tester, retests any parameters that exceed the standard, and checks for faults in the sensors and refrigeration system. If the refrigerator's actual performance is satisfactory but the parameter set is too restrictive, the corresponding parameter range is adjusted through the management interface. If a genuine fault is found in the refrigerator, it is repaired and re-tested. The adjusted parameter set is pushed to all production line inspection nodes via the production test server.

[0054] This embodiment establishes a feedback optimization mechanism to correct misjudgments caused by individual differences or overly strict initial parameter settings, thereby ensuring the normal circulation of qualified products; the parameter set dynamically adapts to actual production data to improve long-term detection accuracy.

[0055] In some embodiments of the present application, the test parameter sets are stored in groups according to the ambient temperature intervals. When the detected ambient temperature crosses different intervals, the test parameter set corresponding to the ambient temperature interval is automatically called.

[0056] For example, the production test server divides the ambient temperature into three ranges: low temperature (-5°C to 10°C), normal temperature (10°C to 30°C), and high temperature (30°C to 40°C). Each range corresponds to an independent set of test parameters. Ambient temperature sensors are deployed at testing stations to monitor the current temperature in real time and upload the data to the production test server.

[0057] When the ambient temperature rises from the normal temperature group to the high temperature group, the production test server automatically switches to the high temperature group parameter set and re-extracts the key parameter range (such as adjusting the minimum temperature of the freezer compartment from -20°C to -18°C).

[0058] By grouping and storing data by ambient temperature range, the system can adapt to performance differences under different environmental conditions. Understandably, the same parameter set can lead to misjudgments under different ambient temperatures. For example, in high-temperature environments, the cooling load of a refrigerator increases, requiring a wider parameter range. Furthermore, by automatically calling the test parameter set corresponding to the ambient temperature range, seamless parameter switching is achieved, improving the reliability of test results and reducing misjudgments caused by environmental factors.

[0059] In some embodiments of the present application, the factory inspection procedure includes: a freezer compartment cooling stage, a refrigerator compartment cooling stage, and a defrosting heating stage, which are executed in sequence.

[0060] After the refrigerator starts the detection program, it first enters the freezer compartment cooling stage, and the compressor runs at maximum power until the freezer compartment temperature reaches the freezing preset value; then it switches to the refrigerator compartment cooling stage, and the compressor runs until the refrigerator compartment temperature reaches the freezing preset value; finally, it enters the defrost heating stage, turns off the compressor and starts the heater to melt the frost layer on the evaporator.

[0061] The factory inspection procedure in this embodiment covers the core functional cycle of the refrigerator, improves the inspection integrity, avoids missing the verification of core modules such as the refrigeration system and defrost function, and also provides a clear stage division for parameter extraction and comparison.

[0062] In some embodiments of the present application, the key parameters include: the freezer compartment temperature range at the end of the freezer compartment cooling phase, the refrigerator compartment temperature range at the end of the refrigerator compartment cooling phase, the evaporator temperature range when the freezer compartment and the refrigerator compartment stop cooling, and the heater power range during the defrost heating phase.

[0063] Key parameters cover a specific temperature range, allowing for reasonable temperature fluctuations. Traditional testing, however, may focus solely on the final temperature, ignoring process stability. Therefore, this embodiment improves parameter coverage, increasing the detection rate of hidden faults caused by refrigeration process fluctuations and accurately locating the source of the fault. This provides a specific basis for performance assessment and enhances the targeted nature of defect detection.

[0064] In some embodiments of the present application, the method for extracting the predetermined range of key parameters is: identifying and extracting the maximum and minimum values ​​of the freezer compartment temperature, the maximum and minimum values ​​of the refrigerator compartment temperature, the maximum and minimum values ​​of the evaporator temperature, and the maximum and minimum values ​​of the heater power from the operating status data.

[0065] Specifically, the production test server performs extreme value analysis on the sample data. For example, it uses a sliding window algorithm to identify the maximum and minimum values ​​of each parameter within a period, eliminating transient interference data. For example, after processing the freezer temperature data, the 95th percentile is used as the highest value, and the 5th percentile is used as the lowest value.

[0066] This approach effectively eliminates abnormal data interference and ensures that parameter ranges are reasonable. It ensures that the parameter range reflects the stable performance in actual production and avoids parameter ranges that are too wide or too narrow due to transient factors such as door opening and voltage fluctuations. It also improves the reliability and practicality of the parameter set.

[0067] In some embodiments of this application, continue to refer to Figure 2 As shown, step S300 of comparing the real-time operating status data of the refrigerator to be tested with the test parameter set and determining that the refrigerator is unqualified if any key parameter exceeds the predetermined range includes:

[0068] S310: After the refrigeration phase of the freezing compartment ends, if the temperature of the freezing compartment exceeds the temperature range of the freezing compartment in the test parameter set, it is determined to be unqualified.

[0069] The production test server immediately extracts real-time temperature data after the freezing phase and compares it with the "freezer compartment temperature range" in the parameter set. For example, if the parameter set specifies a range of -20°C to -18°C, a real-time temperature of -17°C triggers a failure determination.

[0070] S320: After the refrigeration phase of the refrigeration compartment ends, if the temperature of the refrigeration compartment exceeds the temperature range of the refrigeration compartment in the test parameter set, it is determined to be unqualified.

[0071] After the refrigeration phase, the production test server extracts the refrigeration compartment temperature data and compares it with the "refrigeration compartment temperature range" in the parameter set (e.g., 3°C to 7°C). If the temperature is 8°C, the product is deemed unqualified.

[0072] S330: When the freezing compartment and the refrigerating compartment stop refrigerating, if the evaporator temperature exceeds the evaporator temperature range in the test parameter set, it is determined to be unqualified.

[0073] After the compressor stops, the production test server extracts the evaporator temperature data and compares it with the "evaporator temperature range" in the parameter set (such as -10°C to 0°C). If the temperature is -12°C, there may be a refrigerant leak or expansion valve failure.

[0074] S340: During the defrosting heating stage, if the heating power exceeds the power range in the test parameter set, it is judged as unqualified.

[0075] During the defrost phase, the production test server calculates the average heater power and compares it with the "heater power range" in the parameter set (for example, 200W to 300W). If the power is 180W, there may be heater aging or circuit failure.

[0076] The determination process of this embodiment realizes the automated execution of the detection process, reducing the workload of manual recording and judgment; each stage is determined independently, and the fault link is quickly located. If the freezing stage fails, there is no need to continue subsequent testing, which further improves the detection efficiency.

[0077] In some embodiments of this application, continue to refer to Figure 2 As shown, the steps include:

[0078] S500: The comparison result of the real-time operating status data of the refrigerator to be tested and the test parameter set is updated in the operating status data of the next stage, and the test parameter set is updated synchronously.

[0079] If the temperature exceeds the specified value during the freezing phase, the production test server marks the exceeded value as a "potential anomaly" and continuously monitors the cold storage compartment temperature after the refrigeration phase begins to see if it is affected by the freezing phase. Furthermore, if manual verification confirms that the exceeded value is a reasonable fluctuation (such as caused by changes in ambient temperature), the value is included in the parameter set update range, and subsequent parameter ranges are adjusted. By feeding the comparison results back into the parameter set update process, a closed data loop is formed.

[0080] This embodiment achieves continuous updating of the test parameter set by incorporating comparison data to adapt to production changes, avoids detection lags due to parameter solidification, and enhances the system's support capabilities for long-term production optimization.

[0081] On the other hand, the present application provides a refrigerator factory performance automatic detection system for the refrigerator factory performance automatic detection method in the above embodiment, referring to Figure 3 As shown, the system includes: a wireless communication module and a production test server.

[0082] The wireless communication module is embedded in the refrigerator's main control board and connects to the production testing server via a router. The production testing server stores operating status data in a database and performs operations such as parameter analysis and comparison.

[0083] Specifically, the production testing server is configured to: collect operating status data of multiple refrigerators that have been manually judged to be qualified during the factory inspection program, extract a predetermined range of key parameters based on the operating status data, and generate a test parameter set; compare the real-time operating status data of the refrigerator to be tested with the test parameter set, and if any key parameter exceeds the predetermined range, it is judged to be unqualified.

[0084] This embodiment reduces system deployment costs by building a complete automated detection system architecture to replace traditional dedicated testing equipment; it supports mixed-line detection of multiple models of refrigerators, improving production line compatibility and switching efficiency.

[0085] In some embodiments of the present application, the wireless communication module is a Wi-Fi, Bluetooth or ZigBee module.

[0086] It is understandable that the system can select the module type according to the production line network environment. If the production line has deployed Wi-Fi coverage, the Wi-Fi module is preferred to reduce the modification cost; if the production line environment is complex (such as a lot of metal shielding), the ZigBee module is selected to ensure communication stability.

[0087] This embodiment provides flexible communication solution options. Flexible communication methods can be selected based on production line network conditions (such as Wi-Fi coverage and metal shielding) to ensure data transmission stability and reduce the risk of detection interruptions due to communication failures.

[0088] In combination with the above embodiments, it can be seen that the actual application process of the automatic detection method of refrigerator factory performance provided by this application is as follows:

[0089] The refrigerator runs a factory inspection program before leaving the factory. The factory inspection program starts running when the refrigerator is powered on, and its operating status data is transmitted to the production test server located in the test area through the wireless communication module on the refrigerator.

[0090] The operating status data of N1 refrigerators that were manually judged to be qualified were collected during the running time of the factory inspection program. The factory inspection program included refrigeration operation of the freezer for t1 minute, refrigeration operation of the refrigerator for t2 minutes, and stopping refrigeration and starting the defrost heater for t3 minutes.

[0091] Through system operation, the maximum value TD1 and the minimum value TD2 of the freezing compartment temperature at the end of the freezer refrigeration, the maximum value TC1 and the minimum value TC2 of the refrigeration compartment temperature at the end of the refrigerator refrigeration, the maximum value TZ1 and the minimum value TZ2 of the evaporator temperature when the refrigerator stops refrigeration, and the maximum value P1 and the minimum value P2 of the power during defrosting heating are automatically found.

[0092] Based on the above four pairs of values, the factory inspection program is run on the next N2 refrigerators. After the freezer refrigeration operation is completed, if the freezer compartment temperature TD>TD1 or TD<TD2; or after the refrigerator refrigeration operation is completed, if the refrigerator compartment temperature TC>TC1 or TC<TC2; or when the refrigerator stops refrigeration, if the evaporator temperature TZ>TZ1 or TZ<TZ2, or during the defrost heating period, if the heater power P>P1 or P<P2, then the system determines that the refrigerator is unqualified;

[0093] Manually inspect refrigerators that fail the inspection and adjust the original parameters accordingly;

[0094] This solution integrates wireless communication, dynamic parameter generation, environmental adaptation, and manual feedback optimization to create a complete automated production and testing system for refrigerators. During implementation, refrigerators automatically connect to the production and testing server at the production line testing station, sequentially performing freezing, refrigeration, and defrosting tests. Key parameters for each stage are uploaded to the production and testing server in real time. The production and testing server generates an initial parameter set based on sample data and automatically compares the real-time data with the parameter range during testing. Exceeding the standard triggers a failure determination. In the event of a misjudgment, the parameter set is adjusted after manual re-inspection, achieving dynamic optimization. The system also stores parameters by ambient temperature group to ensure test accuracy under different temperature conditions. Production and testing parameters are primarily automatically generated by the production and testing server, offering high efficiency and low maintenance costs. This addresses the diverse needs of refrigerator categories and improves testing efficiency. The overall solution addresses the high cost, low efficiency, and poor flexibility of traditional methods, meeting the diverse needs of refrigerator categories and ensuring product quality stability.

[0095] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

Claims

1. A method for automatically detecting the performance of refrigerators before leaving the factory, characterized in that: include: Through the refrigerator's built-in wireless communication module, the operating status data is transmitted to the production test server in real time during the factory inspection program; The production test server collects operating status data of a plurality of refrigerators that have been manually determined to be qualified during the factory inspection process, extracts a predetermined range of key parameters based on the operating status data, and generates a test parameter set; The real-time operating status data of the refrigerator to be tested is compared with the test parameter set, and if any key parameter exceeds the predetermined range, it is determined to be unqualified.

2. The automatic detection method for refrigerator factory performance according to claim 1, characterized in that: Also includes: Manual identification is performed on refrigerators that are automatically determined to be unqualified, the test parameter set is adjusted according to the manual identification result, and the updated test parameter set is applied in subsequent inspections.

3. The automatic detection method for refrigerator factory performance according to claim 1, characterized in that: The test parameter sets are stored in groups according to ambient temperature intervals; When the detected ambient temperature spans different intervals, the test parameter set corresponding to the ambient temperature interval is automatically called.

4. The method for automatically detecting the performance of refrigerators before leaving the factory according to claim 1, characterized in that: The factory inspection procedure includes: a freezing compartment cooling stage, a refrigeration compartment cooling stage, and a defrosting heating stage which are executed in sequence.

5. The automatic detection method for refrigerator factory performance according to claim 4, characterized in that: The key parameters include: The temperature range of the freezing compartment at the end of the freezing phase of the freezing compartment; The temperature range of the refrigerated compartment at the end of the refrigeration phase of the refrigerated compartment; Evaporator temperature range of the freezing compartment and the refrigeration compartment when refrigeration stops; The heater power range in the defrosting heating stage.

6. The method for automatically detecting the performance of refrigerators before leaving the factory according to claim 5, characterized in that: The method of extracting the predetermined range of key parameters is: Identify and extract from the operating status data: the maximum and minimum values ​​of the freezing compartment temperature, the maximum and minimum values ​​of the refrigerating compartment temperature, the maximum and minimum values ​​of the evaporator temperature, and the maximum and minimum values ​​of the heater power.

7. The method for automatically detecting the performance of refrigerators before leaving the factory according to claim 5, characterized in that: The step of comparing the real-time operating status data of the refrigerator to be tested with the test parameter set and determining that the refrigerator is unqualified if any key parameter exceeds the predetermined range includes: After the refrigeration stage of the freezing compartment ends, if the temperature of the freezing compartment exceeds the temperature range of the freezing compartment in the test parameter set, it is determined to be unqualified; After the refrigeration stage of the refrigeration compartment ends, if the temperature of the refrigeration compartment exceeds the temperature range of the refrigeration compartment in the test parameter set, it is determined to be unqualified; When the freezing compartment and the refrigerating compartment stop refrigerating, if the evaporator temperature exceeds the evaporator temperature range in the test parameter set, it is determined to be unqualified; In the defrosting heating stage, if the heating power exceeds the power range in the test parameter set, it is judged as unqualified.

8. The method for automatically detecting the performance of refrigerators before leaving the factory according to claim 1, characterized in that: The comparison result after comparing the real-time operating status data of the refrigerator to be tested with the test parameter set is updated in the operating status data of the next stage, and the test parameter set is updated synchronously.

9. A refrigerator factory performance automatic detection system, used to execute the refrigerator factory performance automatic detection method according to any one of claims 1 to 8, characterized in that: The system includes: a wireless communication module and a production testing server, wherein the wireless communication module is built into the refrigerator and is in communication connection with the production testing server; The wireless communication module is used to transmit the operation status data to the production test server during the operation of the factory test program; The production test server is configured as follows: Collecting operating status data of multiple refrigerators that have been manually determined to be qualified during factory inspection procedures, extracting predetermined ranges of key parameters based on the operating status data, and generating a test parameter set; The real-time operating status data of the refrigerator to be tested is compared with the test parameter set, and if any key parameter exceeds the predetermined range, it is determined to be unqualified.

10. The automatic detection system for refrigerator factory performance according to claim 9, characterized in that: The wireless communication module is a Wi-Fi, Bluetooth or ZigBee module.

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