Refrigerator valve fault detection method and system

By analyzing refrigerator operating data through cloud servers, the problem of refrigerator manufacturers being unable to remotely obtain data has been solved, enabling timely fault detection, shortening repair cycles, and improving repair efficiency.

CN119510008BActive Publication Date: 2026-04-17CHANGHONG MEILING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHANGHONG MEILING CO LTD
Filing Date
2024-11-19
Publication Date
2026-04-17

AI Technical Summary

Technical Problem

Refrigerator manufacturers are unable to remotely obtain product operating data, resulting in long repair cycles and low repair efficiency.

Method used

By acquiring and analyzing the refrigerator's operating data through a cloud server, the frost cycle is determined, and the occupancy rate of temperature data in the refrigerator and freezer compartments is calculated to determine the direction of the electric valve malfunction.

Benefits of technology

This enables timely detection of refrigerator valve malfunctions, shortens repair cycles, and improves repair efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a method and system for detecting refrigerator valve faults. The method acquires operational data, which is stored chronologically. Based on the operational data, a frosting cycle is determined, and data from the frosting cycle is extracted from the operational data. This frosting cycle data is then used to detect data from a detection unit within the frosting cycle. The method calculates the percentage of refrigerator compartment temperature data exceeding a preset refrigerator temperature and the percentage of freezer compartment temperature data falling below a preset freezer temperature. The percentage of data at the preset refrigerator temperature is used to identify a first fault direction, and the percentage of data at the preset freezer temperature is used to identify a second fault direction. The first fault direction is from the electric valve towards the refrigerator compartment, and the second fault direction is from the electric valve towards the freezer compartment. This method, by acquiring refrigerator operational information, determines whether a refrigerator valve is faulty, enabling timely fault detection, shortening the refrigerator's repair cycle, and improving repair efficiency.
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Description

Technical Field

[0001] This application relates to the field of fault detection technology, and in particular to a method and system for detecting faults in a refrigerator valve. Background Technology

[0002] Refrigerators are installed in users' homes, which are widely distributed and the locations of the devices are different. Without an internet connection, refrigerator manufacturers cannot remotely access these devices. Furthermore, if the refrigerator is not equipped with Wi-Fi or other forms of network connectivity modules, even if it can collect sensor data, it cannot transmit the data.

[0003] In other words, refrigerator manufacturers have difficulty directly obtaining actual operating data of their products, such as temperature control stability and energy consumption, making it difficult for them to promptly identify potential design flaws or quality issues. Furthermore, when users encounter problems, they will first contact customer service or provide feedback through other channels, which may involve multiple communications and is inefficient. In addition, users' descriptions may not be accurate enough, affecting the localization of the problem.

[0004] In summary, this results in long repair cycles and low repair efficiency for refrigerators. Summary of the Invention

[0005] This application provides a refrigerator valve fault detection method and system to solve the problems of long repair cycles and low repair efficiency in refrigerators.

[0006] In a first aspect, this application provides a refrigerator valve fault detection method, applied to a cloud server, comprising:

[0007] Acquire operational data, which is stored in chronological order;

[0008] The frosting cycle is determined based on the aforementioned operational data;

[0009] Data on the frosting cycle is extracted from the operating data, and the data of the detection unit is detected. The detection unit is the detection unit in the frosting cycle.

[0010] The percentage of data in the refrigerator compartment temperature that is greater than the preset refrigerator temperature and the percentage of data in the freezer compartment temperature that is less than the preset freezer temperature are calculated by the detection unit. The first fault direction is determined by the percentage of data in the refrigerator compartment temperature that is greater than the preset refrigerator temperature, and the second fault direction is determined by the percentage of data in the freezer compartment temperature that is less than the preset freezer temperature. The first fault direction is from the electric valve to the refrigerator compartment, and the second fault direction is from the electric valve to the freezer compartment.

[0011] In some feasible embodiments, determining the frosting cycle based on the operational data includes:

[0012] Data of preset types are obtained from the operating data, including compartment temperature, refrigerator function setting status, electrical component operating status, and time points of electrical component status transition;

[0013] The defrost start time is determined from the compartment temperature, and the mode information is read from the refrigerator function setting status;

[0014] If the mode information is defrosting mode, obtain the operating status of the defrosting heater and the compressor from the operating status of electrical components;

[0015] If the defrost heater stops operating and the compressor restarts, determine the defrost end time;

[0016] The frost cycle is determined by the defrosting start time and defrosting end time.

[0017] In some feasible embodiments, the method further includes:

[0018] The time when the defrost heater stops operating is obtained to determine the starting point of the detection unit, wherein the starting point is a first number of time after the time when the defrost heater stops operating;

[0019] After extracting the starting point, the time when the defrosting heater starts running is used to determine the termination point of the detection unit;

[0020] The detection unit is determined based on the starting point and the ending point.

[0021] In some feasible embodiments, the refrigerator compartment temperature data includes refrigerator compartment temperature data, refrigerator evaporator temperature and freezer evaporator temperature, and the refrigerator preset temperature includes refrigerator preset temperature, first refrigerator evaporator preset temperature and freezer evaporator preset temperature;

[0022] The calculation of the percentage of data in the refrigerator compartment temperature range that is greater than the preset refrigerator temperature by the detection unit includes:

[0023] Calculate the first data occupancy rate, the second data occupancy rate, and the third data occupancy rate. The first data occupancy rate is the data occupancy rate of the refrigerator compartment temperature data that is greater than the refrigerator preset temperature. The second data occupancy rate is the data occupancy rate of the refrigerator evaporator temperature that is greater than the first refrigerator evaporator preset temperature. The third data occupancy rate is the data occupancy rate of the freezer evaporator temperature that is greater than the freezer evaporator preset temperature.

[0024] In some feasible embodiments, confirming the first fault direction based on the data occupancy rate of the refrigeration preset temperature, and confirming the second fault direction based on the data occupancy rate of the freezing preset temperature, includes:

[0025] If the data occupancy rate of the preset refrigeration temperature is greater than the refrigeration occupancy threshold, the electric valve will malfunction towards the refrigeration direction.

[0026] If the data occupancy rate of the preset freezing temperature is greater than the freezing occupancy rate threshold, the electric valve will malfunction towards freezing.

[0027] In some feasible embodiments, the step of malfunctioning the electric valve to the refrigerator compartment if the data occupancy rate of the preset refrigerator temperature is greater than the refrigerator occupancy rate threshold includes:

[0028] Based on the operating status data of the electrical components, obtain the operating status data of the cold storage compartment within the detection unit;

[0029] If the refrigerator compartment operation status data is enabled, and the first data occupancy rate is greater than the first occupancy rate threshold, the second data occupancy rate is greater than the second occupancy rate threshold, and the third data occupancy rate is greater than the second occupancy rate threshold, the electric valve is faulty in the refrigerator compartment.

[0030] In some feasible embodiments, the freezer temperature data is the refrigeration evaporator temperature, and the preset freezer temperature is the second preset refrigeration evaporator temperature;

[0031] The step of determining the second fault direction based on the data occupancy rate at the preset freezing temperature includes:

[0032] Calculate the fourth data occupancy rate, which is the data occupancy rate where the temperature of the refrigeration evaporator is lower than the preset temperature of the second refrigeration evaporator;

[0033] If the fourth data occupancy rate is greater than the second occupancy rate threshold, the electric valve will fail to refrigerate.

[0034] In some feasible embodiments, the preset refrigeration temperature is 6°C, the preset temperature of the first refrigeration evaporator is -2°C, the preset temperature of the freezing evaporator is -20°C, and the preset temperature of the second refrigeration evaporator is -5°C.

[0035] The first occupancy threshold is 90%, and the second occupancy threshold is 80%.

[0036] Secondly, this application provides a refrigerator valve fault detection system, comprising:

[0037] The acquisition and transmission unit is used to acquire operational data, which is data stored in chronological order.

[0038] A detection unit is configured to determine the frosting cycle based on the operating data; extract frosting cycle data from the operating data and detect the data of the detection unit, wherein the detection unit is the detection unit in the frosting cycle; and calculate the percentage of data in the detection unit whose refrigerator compartment temperature data is greater than the refrigerator preset temperature and the percentage of data in the freezer compartment temperature data is less than the freezer preset temperature, so as to confirm a first fault direction by the percentage of data in the refrigerator preset temperature and a second fault direction by the percentage of data in the freezer preset temperature, wherein the first fault direction is from the electric valve to the refrigerator direction and the second fault direction is from the electric valve to the freezer direction.

[0039] Thirdly, this application provides a server including a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the refrigerator valve fault detection method.

[0040] As can be seen from the above technical solutions, this application provides a refrigerator valve fault detection method and system. The method acquires operating data, which is stored in chronological order. Based on the operating data, the frosting cycle is determined, and data from the frosting cycle is extracted from the operating data. The data from the detection unit is then tested. The detection unit is the detection unit within the frosting cycle. The percentage of refrigerator compartment temperature data exceeding the preset refrigerator temperature and the percentage of freezer compartment temperature data falling below the preset freezer temperature are calculated. A first fault direction is confirmed by the percentage of data at the preset refrigerator temperature, and a second fault direction is confirmed by the percentage of data at the preset freezer temperature. The first fault direction is from the electric valve to the refrigerator compartment, and the second fault direction is from the electric valve to the freezer compartment. By acquiring the refrigerator's operating information, it is possible to determine whether the refrigerator valve is faulty, enabling timely fault detection, shortening the refrigerator's repair cycle, and improving repair efficiency. Attached Figure Description

[0041] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the refrigerator valve fault detection method provided in the embodiments of this application;

[0043] Figure 2 This is a schematic diagram of a first-direction fault detection process provided in an embodiment of this application;

[0044] Figure 3This is a schematic diagram of the second-direction fault detection process provided in an embodiment of this application;

[0045] Figure 4 This is a schematic diagram of the refrigerator valve fault detection system provided in an embodiment of this application. Detailed Implementation

[0046] The embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described below do not represent all embodiments consistent with this application. They are merely examples of systems and methods consistent with some aspects of this application as detailed in the claims.

[0047] A refrigerator valve malfunction refers to an abnormality in the valve inside the refrigerator that controls the flow of refrigerant, causing the refrigeration system to malfunction. These malfunctions may affect the refrigerator's cooling performance or even lead to complete failure. Refrigerator valve malfunctions can be detected in various ways, including fault detection methods for both non-intelligent and intelligent refrigerators.

[0048] Fault detection in non-intelligent refrigerators can be done through user self-checks or after-sales service. However, after the refrigerator is sold to the user, the manufacturer cannot obtain information about its actual operating status. Problems can only be understood through after-sales service information, but the long feedback time for this means the manufacturer cannot obtain operational status information immediately after a problem occurs. Furthermore, when a user reports a refrigerator as faulty, repair personnel often need to make multiple visits to complete the repair because they cannot pinpoint the specific fault. For example, the first visit might be to diagnose the problem and determine the necessary replacement parts, followed by a second visit to collect the parts and replace them. This repair method results in a long repair cycle and increases repair costs and manpower.

[0049] Fault detection in intelligent refrigerators can be achieved through built-in sensors. The refrigerator contains various sensors that monitor parameters such as temperature, pressure, and current in real time. Users can upload fault information to the manufacturer's customer service center, and technicians can remotely guide users through initial troubleshooting or schedule on-site service based on the data.

[0050] However, all of the above methods result in long repair cycles and low repair efficiency for refrigerators.

[0051] To address the issues of long repair cycles and low repair efficiency in refrigerators, some embodiments of this application provide a refrigerator valve fault detection method applied to a cloud server. The cloud server communicates with a data acquisition system, which is connected to the refrigerator's controller to collect internal operating status data. The cloud server receives the operating status data via a wireless network and stores and parses the data.

[0052] like Figure 1 As shown, the method includes:

[0053] S100: Obtain runtime data.

[0054] The operational data refers to the refrigerator's operating status data, such as: temperature data, including refrigerator compartment temperature, freezer compartment temperature, evaporator temperature, condenser temperature, etc.; pressure data, including high-pressure side pressure, low-pressure side pressure, system pressure changes, etc.; current data, including compressor current, fan current, total current, etc.; function setting status, including set temperature, operating mode, defrost mode, etc.; electrical component operating status, including compressor status, fan status, defrost heater status, electric valve status, etc.; electrical component status transition time points, including compressor start time, compressor stop time, fan start time, fan stop time, defrost heater start time, defrost heater stop time, electric valve switching time; fault codes and warning messages, including fault codes, warning messages, etc.; environmental data, including ambient temperature and humidity, etc.; and user behavior data, including the number of times the door was opened and the usage time, etc.

[0055] The runtime data can be sent in a structured format, such as JSON or XML, including runtime parameters and timestamps. After receiving and parsing the runtime data, the cloud stores it in chronological order and sets time stamps for different runtime data. The resolution of the time stamps can be set as needed, such as seconds, minutes, or hours.

[0056] Each piece of data contains a timestamp indicating when the data was generated. The parsed data is sorted according to the timestamps to ensure that the data is stored in chronological order. The data can be stored in a relational database, such as MySQL or PostgreSQL, or a NoSQL database, such as MongoDB or Cassandra.

[0057] For example, operational data may include a timestamp, 2023-10-01T10:00:00Z; refrigerator ID, FRIDGE123; refrigerator compartment temperature, 4.0℃; freezer compartment temperature, -18.0℃; compressor status, on; fan status, on; defrost heater status, off; compressor current, 1.2A; fan current, 0.5A; high-pressure side pressure, 2.0MPa; low-pressure side pressure, 0.2MPa; and operating mode, normal mode. After receiving the data, the cloud server's parsing module parses it into a structured data object. The parsed data object contains a timestamp and other operational parameters, ensuring that each piece of data has a clear timestamp.

[0058] The parsed data is sorted by timestamp and stored in chronological order in the database, ensuring that each record has a unique timestamp. When storing data, a timestamp is set for each record to ensure the time order and time resolution of the data. The timestamp makes it easy to find data within a specific time period for analysis, fault detection, and other operations.

[0059] Understandably, data can be preprocessed before it is stored, such as through data cleaning, feature selection, and data standardization.

[0060] S200: Determine the frosting cycle based on operating data.

[0061] The defrosting cycle is the time interval between the end of one defrosting cycle and the start of the next during refrigerator operation. The defrosting process is controlled by a timer or temperature sensor. It automatically starts when a predetermined time interval is reached or the evaporator surface temperature reaches a certain threshold. During defrosting, the refrigerator stops cooling and simultaneously activates the defrost heater to melt the frost layer on the evaporator. The duration of the defrosting process is uncertain and depends on the refrigerator's design and the thickness of the frost layer.

[0062] In some embodiments, preset types of data are obtained from the operating data, the defrost start time is determined from the compartment temperature, and mode information is read from the refrigerator function setting status. If the mode information is defrost mode, the operating status of the defrost heater and the compressor is obtained from the operating status of the electrical components. If the defrost heater stops running and the compressor restarts, the defrost end time is determined. The defrost cycle is determined by the defrost start time and the defrost end time.

[0063] The preset data types include compartment temperature, refrigerator function setting status, electrical component operating status, and electrical component state transition time points. In other words, in this embodiment, not all operating data is used; only a few types of data are extracted: compartment temperature, refrigerator function setting status, electrical component operating status, and electrical component state transition time points.

[0064] Regarding compartment temperature, temperature sensors inside the refrigerator record the temperatures of the refrigerator and freezer compartments. During defrosting, the defrost heater melts the frost on the evaporator, causing a significant rise in the freezer compartment temperature. By monitoring changes in the freezer compartment temperature, the start and end of the defrosting process can be identified.

[0065] The refrigerator's control panel or internal controller records the current function settings, such as whether it is in defrost mode. The refrigerator's function settings can be used to directly determine whether it is in defrost mode.

[0066] The operating status of electrical components is recorded, including the compressor, fan, and defrost heater. During defrosting, the compressor temporarily stops running, while the defrost heater starts. By monitoring the changes in the operating status of these components, the start and end of the defrosting process can be determined. Furthermore, by recording the time points of state transitions for each component, the start and end times of the defrosting process can be determined, thus allowing the calculation of the frosting cycle.

[0067] It acquires temperature data of the freezer and refrigerator compartments, function setting status data, operating status of the compressor, fan, defrost heater, etc., and the time points of status changes of each electrical component. It monitors the freezer compartment temperature and determines that the defrost heater is activated and the defrosting process begins when the temperature rises significantly. It can also directly read whether the refrigerator has entered defrosting mode. When the compressor stops running and the defrost heater starts, it can also determine that the defrosting process has started. When the defrost heater stops running and the compressor restarts, it determines that the defrosting process has ended.

[0068] For example, on October 1, 2023, at 10:00:00, the freezer temperature was -18℃; at 10:10:00, it was -17℃; at 10:20:00, it was 0℃ (defrost heater started); at 10:30:00, it was 5℃; and at 10:40:00, it was -18℃ (defrost heater stopped). The recorded function setting status information is: 2023-10-01 10:20:00, entered defrost mode; 2023-10-01 10:40:00, exited defrost mode. The electrical components status is as follows: 2023-10-01 10:20:00, compressor stopped, defrost heater started; 2023-10-01 10:40:00, compressor started, defrost heater stopped.

[0069] In other words, the defrosting start time is 10:20:00 on October 1, 2023, and the defrosting end time is 10:40:00 on October 1, 2023. Therefore, the frost cycle is the period from 10:20:00 on October 1, 2023 to 10:40:00 on October 1, 2023, which is 20 minutes.

[0070] S300: Extracts frosting cycle data from the operating data and performs detection on the data from the detection unit.

[0071] The detection unit is a detection unit in the frosting cycle. In some embodiments, to determine the detection unit, the time when the defrosting heater stops running is obtained to determine the starting point of the detection unit. Then, the time when the defrosting heater starts running after the starting point is extracted to determine the ending point of the detection unit. The detection unit is determined based on the starting point and the ending point.

[0072] The starting point is the first number of hours after the defrost heater stops running. In this embodiment, the first number is 1, meaning the starting point is 1 hour after the defrost heater stops running. For example, if the defrost heater stops running at 10:40:00 on 2023-10-01, the starting point is 11:40:00 on 2023-10-01.

[0073] If the defrosting process when the defrosting heater stops operating is defined as the first defrosting process, then the termination point of the detection unit is the start time of the next defrosting process after the first defrosting process. For example, if the freezer compartment temperature is 0℃ (defrosting heater starts) at 11:20:00 on 2023-10-05, or the information recorded in the function setting status is: 2023-10-05 11:20:00, enters defrosting mode, or 2023-10-05 11:20:00, the compressor stops, then 2023-10-05 11:20:00 is the termination point of the detection unit.

[0074] In this embodiment, the detected data only includes information on compartment temperature, refrigerator function settings, electrical component operating status, and the time points of electrical component state transitions. However, these types of data can also be obtained through user uploads or modifications. In some embodiments, the collected user feedback data is cleaned to remove invalid, duplicate, or erroneous information to ensure data accuracy and consistency, providing a reliable foundation for subsequent analysis. Integrating user feedback data with operational data forms a comprehensive dataset. Through data integration, the correlation between faults and the refrigerator's operating status, usage environment, etc., can be discovered.

[0075] S400: Calculate the percentage of refrigerator compartment temperature data that is greater than the preset refrigerator temperature and the percentage of freezer compartment temperature data that is less than the preset freezer temperature, so as to confirm the first fault direction by the percentage of refrigerator compartment temperature data and the second fault direction by the percentage of freezer compartment temperature data.

[0076] The refrigerator compartment temperature data includes the refrigerator compartment temperature, the refrigerator evaporator temperature, and the freezer evaporator temperature. The refrigerator compartment temperature, refrigerator evaporator temperature, and freezer evaporator temperature are obtained from the compartment temperature data. The preset refrigerator temperature includes the refrigerator preset temperature, the first refrigerator evaporator preset temperature, and the freezer evaporator preset temperature. The freezer compartment temperature data is the refrigerator evaporator temperature, and the freezer preset temperature is the second refrigerator evaporator preset temperature.

[0077] The first fault direction is from the electric valve to the refrigeration direction, and the second fault direction is from the electric valve to the freezing direction. For the electric valve to refrigeration direction fault (i.e., the electric valve cannot switch to the refrigeration direction), and the electric valve to freezing direction fault (i.e., the electric valve cannot switch to the freezing direction), for both faults, the ratio of the number of data that meet the conditions in the detection unit to the total number of such data in the detection unit is first calculated.

[0078] In some embodiments, a first data occupancy rate, a second data occupancy rate, and a third data occupancy rate are calculated respectively, wherein the first data occupancy rate is the data occupancy rate of the refrigerator compartment temperature data being greater than the refrigerator preset temperature, the second data occupancy rate is the data occupancy rate of the refrigerator evaporator temperature being greater than the first refrigerator evaporator preset temperature, and the third data occupancy rate is the data occupancy rate of the freezer evaporator temperature being greater than the freezer evaporator preset temperature.

[0079] Among them, the first data occupancy rate, the second data occupancy rate, and the third data occupancy rate are used to determine the first fault direction. If the data occupancy rate of the preset refrigeration temperature is greater than the refrigeration occupancy rate threshold, the fault is in the direction from the electric valve to the refrigeration temperature. Specifically, as shown below... Figure 2 As shown, in some embodiments, based on the data of the operating status of electrical components, the operating status data of the refrigerator compartment in the detection unit is obtained. If the operating status data of the refrigerator compartment is in the enabled state, and the first data occupancy rate is greater than the first occupancy rate threshold, the second data occupancy rate is greater than the second occupancy rate threshold, and the third data occupancy rate is greater than the second occupancy rate threshold, the electric valve is faulty towards the refrigerator compartment.

[0080] In some embodiments, the preset refrigerator temperature is 6°C. A refrigerator compartment temperature higher than 6°C indicates a significant decrease in the cooling effect of the refrigerator compartment, possibly because the electric valve cannot switch the refrigerant to the refrigerator compartment direction. The preset temperature of the first refrigerator evaporator is -2°C. A refrigerator evaporator temperature higher than -2°C indicates that the refrigerator evaporator is not cooling effectively, further confirming that the electric valve may not be able to switch the refrigerant to the refrigerator compartment direction. The preset freezer evaporator temperature is -20°C. A freezer evaporator temperature lower than -20°C indicates that the freezer compartment is still cooling normally, further confirming that the problem lies with the electric valve in the refrigerator compartment direction. The first occupancy threshold is 90%, and the second occupancy threshold is 80%.

[0081] In other words, the refrigerator compartment is in the start-up state in each frame of the detection unit, meaning the refrigerator compartment is not in the function-off state, and the data percentage of refrigerator compartment temperature above 6℃ is greater than 90%, the data percentage of refrigerator evaporator temperature above -2℃ is greater than 80%, the water percentage of freezer evaporator temperature below -20℃ is greater than 80%, indicating a fault in the electric valve to the refrigerator compartment.

[0082] In some embodiments, if the data occupancy rate of the preset freezing temperature is greater than the freezing occupancy rate threshold, the electric valve is switched to a freezing fault. Specifically, such as... Figure 3 As shown, in some embodiments, a fourth data occupancy rate is calculated, wherein the fourth data occupancy rate is the data occupancy rate where the refrigeration evaporator temperature is lower than the second refrigeration evaporator preset temperature. If the fourth data occupancy rate is greater than the second occupancy rate threshold, the electric valve is switched to a freezing direction fault.

[0083] The second refrigeration evaporator is preset to -5℃, indicating that it is still effectively cooling, but the freezer compartment may not receive enough refrigerant. Therefore, the electric valve may not be able to switch the refrigerant to the freezer compartment. In other words, if the percentage of data in the detection unit where the refrigeration evaporator temperature is less than -5℃ is greater than 80%, the electric valve is faulty in the freezer compartment direction.

[0084] When the refrigerator compartment is cooling, the refrigerant flows through the freezer compartment first and then through the refrigerator compartment. However, when the freezer compartment is cooling, the refrigerant only flows through the freezer compartment and not through the refrigerator compartment. Therefore, when determining if the refrigerator compartment valve is faulty, in addition to ensuring that the refrigerator temperature and the refrigerator evaporation temperature are abnormal, it is also necessary to check whether the freezer evaporation temperature is normal. If the freezer evaporation temperature is also abnormal, then it is likely a malfunction in the refrigeration system, rather than a problem with the valve failing to switch to the refrigerator compartment.

[0085] During normal refrigeration, the evaporation temperature of the refrigerator will rise periodically, sometimes to above 2 degrees Celsius. If the evaporation temperature of the refrigerator remains at a low temperature for an extended period, it indicates that there is no fault in the compressor or refrigeration piping, but the valve is unable to switch to the freezing direction, causing the evaporation temperature of the refrigerator to remain at a low temperature for a long time.

[0086] By obtaining the refrigerator's operating information, it is possible to determine whether there is a fault in the refrigerator valve, which can help to detect the fault in time, shorten the refrigerator's maintenance cycle, and improve maintenance efficiency.

[0087] Based on the above-described refrigerator valve fault detection method, some embodiments of this application also provide a refrigerator valve fault detection system, such as... Figure 4 As shown, it includes:

[0088] The data acquisition and transmission unit is connected to the refrigerator control board and is used to acquire operating data, which is stored in chronological order. The data acquisition and transmission unit may include a data acquisition module and a transmission module. The data acquisition module is used to acquire the operating data inside the refrigerator, and the transmission module is used to transmit the operating data acquired by the data acquisition module to a cloud server via a wireless network.

[0089] The cloud server includes a parsing module, a storage module, and a detection unit. The parsing module is used to parse the running data transmitted by the transmission module, and the storage module is used to store the parsed running data.

[0090] The detection unit is used to determine the frosting cycle based on the operating data; and to extract the frosting cycle data from the operating data and detect the data of the detection unit, wherein the detection unit is the detection unit in the frosting cycle; and to calculate the percentage of data in the detection unit whose refrigerator compartment temperature data is greater than the refrigerator preset temperature and the percentage of data in the freezer compartment temperature data is less than the freezer preset temperature, so as to confirm a first fault direction by the percentage of data in the refrigerator preset temperature and a second fault direction by the percentage of data in the freezer preset temperature, wherein the first fault direction is from the electric valve to the refrigerator direction and the second fault direction is from the electric valve to the freezer direction.

[0091] Based on the above-mentioned refrigerator valve fault detection method, some embodiments of this application also provide a server, including a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the refrigerator valve fault detection method.

[0092] The server also includes a bus and communication interfaces, where the processor, communication interfaces, and memory are connected via the bus. The memory may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk drive. Communication between this system network element and at least one other network element is achieved through at least one communication interface (which can be wired or wireless), such as the Internet, wide area network (WAN), local area network (LAN), or metropolitan area network (MAN). The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be categorized as an address bus, data bus, and control bus.

[0093] The processor may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method can be completed by integrated logic circuits in the processor's hardware or by software instructions. The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in the memory. The processor reads the information in the memory and, in conjunction with its hardware, completes the steps of the refrigerator valve fault detection method described in the aforementioned embodiment.

[0094] Similar parts between the embodiments provided in this application can be referred to mutually. The specific implementation methods provided above are only a few examples under the overall concept of this application and do not constitute a limitation on the scope of protection of this application. For those skilled in the art, any other implementation methods extended from the solution of this application without creative effort shall fall within the scope of protection of this application.

Claims

1. A method for detecting refrigerator valve malfunctions, characterized in that, Applications in cloud servers, including: Acquire runtime data, which is stored in chronological order; The frosting cycle is determined based on the aforementioned operational data; Data on the frosting cycle is extracted from the operating data, and the data of the detection unit is detected. The detection unit is the detection unit in the frosting cycle. The percentage of the refrigerator compartment temperature data that is greater than the preset refrigerator temperature and the percentage of the freezer compartment temperature data that is less than the preset freezer temperature are calculated by the detection unit. The first fault direction is determined by the percentage of the refrigerator compartment temperature data that is greater than the preset refrigerator temperature, and the second fault direction is determined by the percentage of the freezer compartment temperature data that is less than the preset freezer temperature. The first fault direction is from the electric valve to the refrigerator direction, and the second fault direction is from the electric valve to the freezer direction. The process of confirming a first fault direction by the percentage of refrigerator compartment temperature data exceeding the preset refrigerator temperature using the detection unit, and confirming a second fault direction by the percentage of freezer compartment temperature data falling below the preset freezer temperature, includes: If the occupancy rate of the refrigerator compartment temperature data of the detection unit is greater than the preset refrigerator temperature and the occupancy rate threshold, the electric valve will malfunction towards the refrigerator compartment. If the percentage of data in the freezer compartment that is less than the preset freezer temperature exceeds the freezer occupancy threshold, the electric valve will malfunction and switch to the freezer compartment. The freezer temperature data is the temperature data of the refrigerator evaporator, and the preset freezer temperature is the preset temperature of the second refrigerator evaporator. If the percentage of data with a freezer temperature lower than the preset freezer temperature exceeds the freezer occupancy threshold, the electric valve will malfunction in the freezer direction, including: Calculate the fourth data occupancy rate, which is the data occupancy rate where the temperature of the refrigeration evaporator is lower than the preset temperature of the second refrigeration evaporator; If the fourth data occupancy rate is greater than the second occupancy rate threshold, the electric valve will fail to refrigerate.

2. The refrigerator valve fault detection method according to claim 1, characterized in that, Determining the frosting cycle based on the operational data includes: Data of preset types are obtained from the operating data, including compartment temperature, refrigerator function setting status, electrical component operating status, and time points of electrical component status transition; The defrost start time is determined from the compartment temperature, and the mode information is read from the refrigerator function setting status; If the mode information is defrosting mode, obtain the operating status of the defrosting heater and the compressor from the operating status of electrical components; If the defrost heater stops operating and the compressor restarts, determine the defrost end time; The frost cycle is determined by the defrosting start time and defrosting end time.

3. The refrigerator valve fault detection method according to claim 2, characterized in that, The method further includes: The time when the defrost heater stops operating is obtained to determine the starting point of the detection unit, wherein the starting point is a first number of time after the time when the defrost heater stops operating; After extracting the starting point, the time when the defrosting heater starts running is used to determine the termination point of the detection unit; The detection unit is determined based on the starting point and the ending point.

4. The refrigerator valve fault detection method according to claim 2, characterized in that, The refrigerator compartment temperature data includes the refrigerator compartment temperature, the refrigerator evaporator temperature, and the freezer evaporator temperature data. The refrigerator preset temperature includes the refrigerator preset temperature, the first refrigerator evaporator preset temperature, and the freezer evaporator preset temperature. The calculation of the percentage of data in the refrigerator compartment temperature data of the detection unit that is greater than the preset refrigerator temperature includes: Calculate the first data occupancy rate, the second data occupancy rate, and the third data occupancy rate. The first data occupancy rate is the data occupancy rate of the refrigerator compartment temperature data that is greater than the refrigerator preset temperature. The second data occupancy rate is the data occupancy rate of the refrigerator evaporator temperature that is greater than the first refrigerator evaporator preset temperature. The third data occupancy rate is the data occupancy rate of the freezer evaporator temperature that is greater than the freezer evaporator preset temperature.

5. The refrigerator valve fault detection method according to claim 4, characterized in that, If the percentage of the data in the refrigerator compartment temperature that is greater than the preset refrigerator temperature exceeds the refrigerator occupancy threshold, the electric valve will malfunction in the refrigerator compartment, including: Based on the operating status data of the electrical components, obtain the operating status data of the cold storage compartment within the detection unit; If the refrigerator compartment operation status data is enabled, and the first data occupancy rate is greater than the first occupancy rate threshold, the second data occupancy rate is greater than the second occupancy rate threshold, and the third data occupancy rate is greater than the second occupancy rate threshold, the electric valve to the refrigerator compartment is faulty.

6. The refrigerator valve fault detection method according to claim 5, characterized in that, The preset temperature for refrigeration is 6°C, the preset temperature for the first refrigeration evaporator is -2°C, the preset temperature for the freezer evaporator is -20°C, and the preset temperature for the second refrigeration evaporator is -5°C. The first occupancy threshold is 90%, and the second occupancy threshold is 80%.

7. A refrigerator valve fault detection system, characterized in that, include: The acquisition and transmission unit is used to acquire operational data, which is data stored in chronological order. A detection unit is configured to determine the frosting cycle based on the operating data; extract frosting cycle data from the operating data and detect the data of the detection unit, wherein the detection unit is the detection unit in the frosting cycle; and calculate the percentage of data in the detection unit where the refrigerator compartment temperature data is greater than the preset refrigerator temperature and the percentage of data in the freezer compartment temperature data is less than the preset freezer temperature, so as to confirm a first fault direction by the percentage of data in the detection unit where the refrigerator compartment temperature data is greater than the preset refrigerator temperature, and to confirm a second fault direction by the percentage of data in the freezer compartment temperature data is less than the preset freezer temperature, wherein the first fault direction is from the electric valve to the refrigerator direction and the second fault direction is from the electric valve to the freezer direction. The process of confirming a first fault direction by the percentage of refrigerator compartment temperature data exceeding the preset refrigerator temperature using the detection unit, and confirming a second fault direction by the percentage of freezer compartment temperature data falling below the preset freezer temperature, includes: If the occupancy rate of the refrigerator compartment temperature data of the detection unit is greater than the preset refrigerator temperature and the occupancy rate threshold, the electric valve will malfunction towards the refrigerator compartment. If the percentage of data in the freezer compartment that is less than the preset freezer temperature exceeds the freezer occupancy threshold, the electric valve will malfunction and switch to the freezer compartment. The freezer temperature data is the temperature data of the refrigerator evaporator, and the preset freezer temperature is the preset temperature of the second refrigerator evaporator. If the percentage of data with a freezer temperature lower than the preset freezer temperature exceeds the freezer occupancy threshold, the electric valve will malfunction in the freezer direction, including: Calculate the fourth data occupancy rate, which is the data occupancy rate where the temperature of the refrigeration evaporator is lower than the preset temperature of the second refrigeration evaporator; If the fourth data occupancy rate is greater than the second occupancy rate threshold, the electric valve will fail to refrigerate.

8. A server, characterized in that, The device includes a processor and a memory, the memory storing computer-executable instructions that can be executed by the processor, the processor executing the computer-executable instructions to implement the refrigerator valve fault detection method according to any one of claims 1 to 6.

Citation Information

Patent Citations

  • Judging method for refrigerator breakdown, server and computer readable storage medium

    CN107328156A