Refrigerator system fault detection method and system

Abstract

The invention provides a refrigerator system fault detection method and system. The method comprises the steps that refrigerator evaporator sensor temperature data and defrosting heater working state data are obtained; whether the temperature of the evaporator sensor exceeds a first preset temperature threshold value or not and whether the change rate of the temperature of the evaporator sensor exceeds a preset change rate threshold value or not are judged, and if yes, it is judged that the sensor breaks down; if not, detecting the temperature data of the evaporator sensor in the single frosting period; if the temperature of the evaporator sensor in the preset continuous time within the first preset time period is larger than the data volume of a second preset temperature threshold value, the proportion of the data volume to the total data volume of the preset continuous time is calculated; and if the proportion exceeds a preset proportion threshold value, determining that the system has a fault. Through the multi-step fault detection process, the sensor fault and the system fault are effectively distinguished, and the misdiagnosis rate is reduced. By monitoring the state of the refrigerator system in real time, faults are found and processed in time, and the using safety and reliability of the refrigerator are improved.

Description

Technical Field

[0001] This application relates to the technical field of household appliances, and more specifically to a method and system for detecting faults in a refrigerator system. Background Art

[0002] With the in-depth application of Internet of Things technology in the field of smart home appliances, smart refrigerator devices generally have the ability to upload real-time data. The operating data such as compressor working conditions, sensor temperatures, and defrost cycles aggregated through the cloud provide the basic conditions for remote fault diagnosis. Currently, the industry's cloud diagnosis solutions for refrigerator refrigeration system faults mainly rely on two types of technologies: multi-sensor collaborative determination and threshold-triggered detection.

[0003] Among them, the sensor collaborative determination technology realizes fault judgment by integrating the temporal correlation of the temperature sensors in the refrigerating compartment, the temperature sensors in the freezing compartment, and the compressor current data. Specifically, when implementing, a multi-dimensional data mapping model needs to be established, and the phase alignment analysis of the temperature fluctuation curves collected by each sensor and the compressor start-stop cycle is carried out. When it is detected that the temperature rise rate in the refrigerating / freezing compartment and the decrease amplitude of the compressor load current show an asymmetric correlation, a fault warning is triggered. The threshold-triggered detection technology takes the evaporator temperature sensor as the core monitoring object, sets a temperature determination range, and realizes anomaly detection by comparing the sensor readings with the preset threshold boundaries in real time. When it is monitored that the evaporator temperature continuously exceeds the upper or lower threshold for a preset duration, a fault code is generated.

[0004] However, in the initial fault scenarios such as slow refrigerant leakage, due to the small amplitude of evaporator temperature fluctuations in the initial fault stage with a low refrigerant leakage volume, the traditional threshold method cannot effectively identify anomalies. Moreover, the periodic temperature fluctuations and sudden operating condition changes cause a large number of false positive alarms in the single threshold determination method. Through sensor collaborative determination, due to the lack of a sensor working state verification mechanism, the diagnostic system cannot distinguish between equipment faults and sensor faults, resulting in an increased misdiagnosis rate. Summary of the Invention

[0005] To solve the problems that in the initial fault scenarios such as slow refrigerant leakage, the threshold method cannot effectively identify anomalies and the misdiagnosis rate of sensor collaborative determination increases.

[0006] On the one hand, this application provides a method for detecting faults in a refrigerator system, including the following steps:

[0007] Obtain the evaporator sensor temperature data and defrost heater working state data uploaded by the refrigerator to the cloud;

[0008] Judge whether the evaporator sensor temperature exceeds a first preset temperature threshold within the detection time range. If it exceeds, it is determined as sensor fault mode one;

[0009] If the temperature does not exceed the first preset temperature threshold, calculate the change rate of the evaporator sensor temperature. If the change rate exceeds the preset change rate threshold, it is determined as sensor fault mode two;

[0010] If sensor fault mode one or two is not triggered, detect the evaporator sensor temperature data within the first preset time period after the last defrost heater stops heating in a single defrost cycle;

[0011] Count the amount of data where the evaporator sensor temperature is greater than the second preset temperature threshold within the preset continuous time in the first preset time period, and calculate the proportion of the amount of data to the total amount of data in the preset continuous time;

[0012] If the proportion exceeds the preset proportion threshold, it is determined as a system fault.

[0013] In a feasible implementation method, the first preset temperature threshold is 50 °C, and the preset change rate threshold is 15 °C / minute.

[0014] In a feasible implementation method, the first preset time period is the time range from 1 hour after the defrost heater stops heating to before the next defrost heater starts heating.

[0015] In a feasible implementation method, the preset continuous time is 3 consecutive hours, the second preset temperature threshold is -15 °C, and the preset proportion threshold is 85%.

[0016] In a feasible implementation method, the calculation of the change rate of the evaporator sensor temperature includes the steps of:

[0017] Extract the evaporator sensor temperature data at two adjacent time points within the defrost cycle;

[0018] Calculate the temperature change amount per unit time based on the time interval between two adjacent time points and the temperature difference of the evaporator sensor temperature data to obtain the change rate.

[0019] In a feasible implementation method, when it is determined as sensor fault mode one or sensor fault mode two, interrupt the subsequent system fault detection process.

[0020] In a feasible implementation method, the total amount of data in the preset continuous time is: the total number of samples of the evaporator sensor temperature received by the cloud within the preset continuous time.

[0021] In a feasible implementation method, it further includes the step of: generating a fault signal after the system fault is determined and uploading it to the cloud server.

[0022] The second aspect of the present application provides a refrigerator system fault detection system for implementing the refrigerator system fault detection method described in any one of the above. The system includes: a data acquisition module, a first judgment module, a second judgment module, a periodic detection module, and a fault determination module;

[0023] The data acquisition module is used to collect the temperature of the evaporator sensor and the working state data of the defrost heater in real time and upload them to the cloud;

[0024] The first judgment module is used to detect whether the temperature of the evaporator sensor exceeds the first preset temperature threshold to determine the sensor fault mode one;

[0025] The second judgment module is used to calculate the change rate of the temperature of the evaporator sensor and compare it with the preset change rate threshold to determine the sensor fault mode two;

[0026] The periodic detection module is used to extract the evaporator temperature data in the first preset time period within the frosting period;

[0027] The fault determination module is used to count the amount of data in which the temperature of the evaporator sensor is greater than the second preset temperature threshold in the preset continuous time within the first preset time period, calculate the proportion of the amount of data in the total amount of data in the preset continuous time, and output a system fault signal according to the comparison result between the proportion of temperature data in the preset continuous time and the preset proportion threshold.

[0028] In a feasible implementation method, it further includes: a communication module and a data storage module;

[0029] The communication module is used to transmit the fault signal to the user terminal and the cloud operation and maintenance platform;

[0030] The data storage module is used to record the historical data of the temperature of the evaporator sensor, the fault determination result, and the timestamp information.

[0031] As can be seen from the above, a refrigerator system fault detection method and system of the present application effectively distinguish sensor faults from system faults through a multi-step fault detection process, reducing the misdiagnosis rate. By monitoring the status of the refrigerator system in real time, faults can be discovered and processed in a timely manner, improving the safety and reliability of refrigerator use. Moreover, the alarm mechanism of the cloud server is adopted to ensure that users can obtain fault information in a timely manner and take corresponding treatment measures, enhancing user satisfaction. The recorded historical data provides an important basis for subsequent fault analysis and system optimization, contributing to the continuous improvement of the performance and stability of the refrigerator system. Description of the Drawings

[0032] The accompanying drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the implementation of the present invention, and together with the specification are used to explain the principles of the embodiments of the present invention. Obviously, the accompanying drawings described below are only some embodiments of the implementation of the present invention, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0033] Figure 1 is a flow chart of a refrigerator system fault detection method shown in an embodiment of the present application;

[0034] Figure 2 It is a structural schematic diagram of a refrigerator system fault detection system shown in an embodiment of the present application. DETAILED DESCRIPTION

[0035] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the embodiments of the present invention will be more comprehensive and complete and 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, many specific details are provided to provide a full understanding of the implementation of the embodiments of the present invention.

[0036] The present invention relates to the field of refrigerator fault detection, and specifically discloses a refrigerator system fault detection method. With the rapid development of Internet of Things technology, smart refrigerators have generally been equipped with real-time data upload capabilities, which provides a basic condition for remote fault diagnosis. However, when facing initial faults such as slow refrigerant leakage, traditional refrigerator refrigeration system fault diagnosis methods often have problems such as failure to effectively identify abnormalities, generation of a large number of false positive alarms, and increased misdiagnosis rates. In order to solve these problems, the present invention proposes a refrigerator system fault detection method.

[0037] In the embodiments of this application, refer to Figure 1 As shown, the steps include:

[0038] S100: Acquire the evaporator sensor temperature data and the defrost heater working status data uploaded by the refrigerator to the cloud.

[0039] This embodiment can collect the temperature data of the refrigerator evaporator sensor and the working status data of the defrost heater in real time through the Internet of Things technology, and upload these data to the cloud server. Specifically, the temperature value of the evaporator sensor and the start and stop status of the defrost heater are read regularly. The collected data is transmitted to the cloud database for storage through wireless communication technologies such as Wi-Fi or Bluetooth, providing basic data support for subsequent fault detection and ensuring the real-time and integrity of the data.

[0040] S200: Determine whether the temperature of the evaporator sensor exceeds the first preset temperature threshold within the detection time range. If it exceeds, it is determined as sensor fault mode one.

[0041] Within the detection time range, monitor whether the temperature of the evaporator sensor exceeds the first preset temperature threshold. The cloud server runs a monitoring program that periodically checks the temperature data of the evaporator sensor. If it is found that the temperature value exceeds the first preset temperature threshold, the determination of sensor fault mode one is immediately triggered. By quickly identifying abnormal high-temperature readings caused by sensor faults, misjudgment as a system fault can be avoided.

[0042] S300: If it does not exceed the first preset temperature threshold, calculate the change rate of the temperature of the evaporator sensor. If the change rate exceeds the preset change rate threshold, it is determined as sensor fault mode two.

[0043] Specifically, perform differential processing on the continuously collected temperature data of the evaporator sensor to calculate the temperature change amount per unit time. If the change rate exceeds 15 °C / minute, it is determined as sensor fault mode two. This step can detect abnormal responses of the sensor caused by reasons such as aging and damage, improving the accuracy of fault detection.

[0044] S400: If sensor fault mode one or two is not triggered, detect the temperature data of the evaporator sensor during the first preset time period after the last defrost heater stops heating within a single frosting cycle.

[0045] If sensor fault mode one or two is not triggered, it is necessary to enter the next detection step. The purpose of this step is to identify system faults by analyzing the temperature data within the frosting cycle.

[0046] S500: Count the amount of data where the temperature of the evaporator sensor is greater than the second preset temperature threshold within the preset continuous time during the first preset time period, and calculate the proportion of the amount of data in the total amount of data of the preset continuous time.

[0047] By means of the data proportion, effectively identify abnormal evaporator temperatures caused by initial faults such as refrigerant leakage, reducing the misdiagnosis rate. The purpose is to improve the timeliness and accuracy of system fault diagnosis by means of the data proportion.

[0048] S600: If the proportion exceeds the preset proportion threshold, it is determined as a system fault.

[0049] When it is determined as a system fault, generate a fault signal and upload it to the cloud server. At the same time, record the time, type, and relevant data of the fault occurrence. Ensure that the fault can be detected and processed in a timely manner, improving the safety and reliability of refrigerator use.

[0050] By collecting the temperature data of the refrigerator evaporator sensor and the working state data of the defrost heater in real time, this application ensures the timeliness and integrity of the data, and improves the efficiency and accuracy of fault detection. By statistically analyzing the proportion of the temperature data of the evaporator sensor within a preset time period, it effectively identifies the abnormal temperature of the evaporator caused by initial faults such as refrigerant leakage. This method reduces the misdiagnosis rate, improves the timeliness and accuracy of system fault diagnosis, and provides users with a more reliable refrigerator usage experience. In addition, this application also sets the determination steps for sensor fault mode one and sensor fault mode two, which can quickly identify abnormal high temperature readings or abnormal temperature change rates caused by sensor faults, avoiding misjudging as system faults due to sensor faults, and further improving the accuracy of fault detection.

[0051] In summary, the refrigerator system fault detection method of the present invention not only improves the efficiency and accuracy of fault detection, reduces the misdiagnosis rate, but also provides users with a safer and more reliable refrigerator usage experience, and has broad application prospects and market value.

[0052] In some embodiments of this application, the first preset temperature threshold is 50°C. The setting of this threshold is based on the evaporator temperature range when the refrigerator is working normally. Generally, the evaporator temperature of the refrigerator is maintained at a relatively low level to ensure that the food in the refrigerating and freezing compartments remains fresh. Under normal circumstances, the temperature of the evaporator is much lower than 50°C, and this range is usually between -18°C and 10°C, depending on the working mode and set temperature of the refrigerator. Therefore, when the system detects that the temperature of the evaporator exceeds the preset threshold of 50°C, it can be determined as sensor fault mode one.

[0053] The role of 50°C as a parameter design is to provide a clear boundary for distinguishing normal operation and abnormal high temperature states. The setting of this parameter is based on an in-depth understanding of the normal working temperature range of the refrigerator evaporator and the prediction of possible sensor fault modes. When the temperature exceeds this boundary, the system can respond quickly for fault detection.

[0054] If the evaporator temperature exceeds the threshold of 50°C, in addition to possibly indicating a sensor fault, it may also mean that there are other serious problems inside the refrigerator, such as refrigerant leakage, cooling system blockage, etc. If these problems are not dealt with in time, it may lead to the complete failure of the refrigerator. On the other hand, if the evaporator temperature is abnormally lower than the set range, although it may not necessarily indicate a sensor fault, it may also indicate that the cooling system is overworking, the energy consumption increases, or there are problems such as icing inside the refrigerator.

[0055] In this embodiment, by setting a reasonable temperature threshold of 50°C, abnormal high-temperature readings caused by sensor failures can be quickly identified. This mechanism avoids misjudging abnormal situations as system failures itself, thereby reducing unnecessary system inspection and repair costs. At the same time, it improves the accuracy of fault detection, enabling technicians to locate problems faster and take appropriate repair measures.

[0056] In some embodiments of the present application, the preset change rate threshold is 15°C / minute. This threshold is set based on the response speed of the sensor during normal operation and the conventional temperature change rate of the evaporator. When the evaporator is operating normally, its temperature is generally between -18°C and 10°C, so the change rate will not exceed 15°C / minute. Therefore, when it is detected that the temperature change rate exceeds this threshold, it can be determined that the sensor has entered fault mode two.

[0057] The parameter design of 15°C / minute is to provide a reasonable judgment standard to distinguish between the normal operating state and the abnormal state of the sensor. If the temperature change rate is lower than this threshold, although it does not necessarily mean that the sensor is completely normal, it at least indicates that its response speed is within the normal range, and faults can be temporarily ignored. When the temperature change rate exceeds this threshold, it is very likely that there are problems such as aging or damage to the sensor, resulting in an abnormal response speed to temperature changes.

[0058] By detecting the response speed of the sensor to temperature changes and combining the preset change rate threshold, abnormal responses caused by sensor aging, damage, etc. can be effectively identified, thereby further improving the accuracy of fault detection. This solution setting can timely detect sensor failures for solving the problem of sensor fault detection, avoid more serious consequences caused by the expansion of faults; and reduce the sensor replacement cost caused by misjudgment, improve economic benefits, and improve the stability and reliability of the entire system.

[0059] In some embodiments of the present application, the first preset time period is the time range from 1 hour after the defrost heater stops heating to before the next defrost heater starts heating.

[0060] It can be understood that the selection of this time period is based on the operating characteristics of the refrigerator refrigeration system. After the defrost heater stops heating, the refrigerator enters the refrigeration cycle, and at this time, the temperature of the evaporator gradually decreases. If the temperature of the evaporator does not show the expected downward trend during this time period, it may indicate that there is a fault in the refrigeration system. The function of this design is to accurately locate the critical time period when problems may occur in the refrigeration system, thereby improving the efficiency and accuracy of fault detection. If the set time period is too short, it may not fully reflect the operating state of the refrigeration system, resulting in the omission of faults; if the set time period is too long, it may increase unnecessary detection and analysis work.

[0061] In this embodiment, by focusing on the time period when the refrigeration system may have faults, the pertinence of detection is improved, unnecessary calculations and analyses are reduced, thereby optimizing the detection process and enhancing the overall efficiency.

[0062] In some embodiments of the present application, the preset continuous time is 3 consecutive hours. The setting of this parameter is based on in-depth research on the temperature characteristics of the evaporator in the initial fault scenarios such as refrigerant leakage. In the initial fault stage, the temperature fluctuation range of the evaporator is small, but it may continuously be higher than the normal value. By statistically calculating the proportion of the data volume with the temperature greater than -15°C within 3 consecutive hours, such faults can be effectively identified. If the preset continuous time is too short, it may not be able to capture enough data to accurately judge the fault; while if the preset continuous time is too long, it may increase the complexity and time consumption of the detection.

[0063] The second preset temperature threshold is set to -15°C. The selection of this parameter is to ensure that abnormal changes in the evaporator temperature can be accurately captured during the statistical process. If the temperature threshold is set too high, some important fault information may be ignored; while if the temperature threshold is set too low, the possibility of false alarms may increase.

[0064] The preset proportion threshold is set to 85%. The setting of this parameter is to ensure that abnormal situations where the evaporator temperature continuously remains higher than the normal value can be accurately identified during the statistical process. If the proportion threshold is set too low, some unobvious faults may be ignored; while if the proportion threshold is set too high, the risk of false alarms may increase.

[0065] By reasonably setting the statistical time and temperature threshold, the sensitivity and accuracy of the system fault detection are improved, and the misdiagnosis rate is reduced. This embodiment can achieve precise and efficient detection of the faults of the refrigerator refrigeration system in the solution, providing strong support for fault troubleshooting and maintenance.

[0066] In some embodiments of the present application, the step of calculating the change rate of the evaporator sensor temperature further includes:

[0067] S310: Extract the evaporator sensor temperature data at two adjacent time points within the frosting cycle;

[0068] S320: Calculate the temperature change amount per unit time according to the time interval between two adjacent time points and the temperature difference of the evaporator sensor temperature data to obtain the change rate.

[0069] The specific operation of the steps in this embodiment is as follows: First, select two adjacent time points from the frosting cycle data stored in the system, and extract the evaporator sensor temperature data corresponding to these two time points. Secondly, use the time interval between these two time points and the temperature data difference between these two time points to calculate the temperature change amount per unit time through calculation, that is, the change rate.

[0070] Through this calculation process, the temperature change rate of the evaporator sensor during the frosting cycle can be obtained. This data provides crucial information support for the judgment of sensor fault mode two, making the fault detection more comprehensive and accurate, and avoiding missed or misjudged faults caused by the lack of temperature change rate data.

[0071] In some embodiments of the present application, the total data volume of the preset continuous time is the total number of temperature samples of the evaporator sensor received by the cloud.

[0072] This setting ensures the accuracy and reliability of data statistics. The specific operation is as follows: within the preset continuous time, the system counts the number of temperature samples of the evaporator sensor actually received by the cloud and uses this as the total data volume. By comparing the actually received data volume with the preset total data volume, it can be judged whether there is data loss or delay during the data transmission process, thus avoiding misjudgment caused by data transmission problems.

[0073] In some specific embodiments of the present application, the following steps are further included:

[0074] S700: Once a system fault is determined, the system will generate a fault signal and upload this signal to the cloud server.

[0075] This process ensures that faults can be detected and processed in a timely manner. Through the alarm mechanism of the cloud server, users and the personnel responsible for maintenance and operation can quickly receive the fault information and take corresponding treatment measures accordingly. This not only improves the safety and reliability of refrigerator use, but also reduces the losses and risks that may be brought by faults.

[0076] The embodiments of the present application also relate to a refrigerator system fault detection system, which is designed to execute the above-mentioned refrigerator system fault detection method. Refer to Figure 2 As shown, this system mainly consists of the following parts: a data acquisition module, a first judgment module, a second judgment module, a cycle detection module, and a fault determination module.

[0077] The main responsibility of the data acquisition module is to collect the temperature data of the evaporator sensor and the working state data of the defrost heater in real time, and upload these data to the cloud server. This module can ensure the real-time and accuracy of the data, providing reliable basic data support for subsequent fault judgment. By continuously collecting sensor data, the data acquisition module can timely detect abnormal situations during the operation of the refrigerator and provide a data basis for subsequent judgment.

[0078] The first judgment module works by detecting whether the temperature of the evaporator sensor exceeds the first preset temperature threshold to determine whether there is sensor failure mode 1. This module can quickly identify abnormal sensor temperature, thereby judging whether there is a sensor failure. When the sensor temperature exceeds the preset threshold, the first judgment module will issue an alarm to prompt the user or maintenance personnel to conduct inspections and repairs.

[0079] The second judgment module is responsible for calculating the rate of change of the evaporator sensor temperature and comparing this rate of change with the preset rate-of-change threshold to determine whether there is sensor failure mode 2. This module can analyze the changing trend of the sensor temperature, thereby judging whether there is a potential failure risk. When the rate of temperature change exceeds the preset threshold, the second judgment module will issue an alarm to remind the user or maintenance personnel to pay attention to the possible failure.

[0080] The periodic detection module is used to extract the evaporator temperature data within the first preset time period during the defrosting cycle, providing the necessary data support for subsequent failure determination. This module can analyze the temperature data of the refrigerator during the defrosting cycle to judge whether there is a failure in the refrigeration system. By extracting the data within a specific time period, the periodic detection module can more accurately judge the type and location of the failure.

[0081] The failure determination module works by counting the proportion of the data volume in which the evaporator sensor temperature is greater than the second preset temperature threshold within the first preset time period in the preset continuous time, and outputting a system failure signal according to the preset proportion threshold. This module can comprehensively analyze the temperature data to judge whether there is a system failure. When the proportion of the data volume exceeds the preset threshold, the failure determination module will output a system failure signal.

[0082] In this embodiment, through the collaborative work of the above modules, the system failure of the refrigerator can be accurately detected. The data acquisition module provides the basic data support. The first judgment module and the second judgment module are responsible for identifying sensor failures. The periodic detection module focuses on the time period when there may be a failure in the refrigeration system, and the failure determination module outputs a system failure signal according to the statistical results. The entire system can timely detect abnormal situations during the operation of the refrigerator by collecting and analyzing data in real time, and output accurate failure signals, thus solving the problems of inaccurate and untimely detection existing in the traditional refrigerator failure detection. At the same time, the application of this system also improves the stability and reliability of the refrigerator operation, providing a better user experience for users.

[0083] In some embodiments of the present application, the system further includes: a communication module and a data storage module.

[0084] The communication module is responsible for transmitting fault signals to user terminals and the cloud operation and maintenance platform. Through methods such as SMS, email, or APP push, it ensures that users and operation and maintenance personnel can obtain fault information in a timely manner.

[0085] The communication module enhances the real-time performance and interactivity of the system. Specifically, by quickly and accurately transmitting fault signals, the communication module can ensure that fault information is received by users and operation and maintenance personnel in a timely manner, thus greatly shortening the response time for fault discovery and handling. This not only improves the user experience but also effectively reduces potential losses caused by faults.

[0086] Data storage module: responsible for recording historical data of the evaporator sensor temperature, fault determination results, and timestamp information. This data provides an important basis for subsequent fault analysis and traceability.

[0087] The data storage module improves the traceability and data analysis capabilities of the system. By comprehensively recording historical data of the evaporator sensor temperature, fault determination results, and timestamp information, the data storage module provides rich data resources for technicians. This data can be used for multiple aspects such as fault analysis, performance evaluation, and system optimization, providing strong data support for the continuous improvement and performance enhancement of the refrigerator system.

[0088] In this embodiment, by introducing a communication module and a data storage module, the problems existing in the refrigerator system in terms of fault discovery and handling are effectively solved. The communication module ensures the timely transmission of fault information, enabling users and operation and maintenance personnel to respond and handle faults quickly; while the data storage module provides comprehensive data support, providing strong guarantee for technicians to conduct fault analysis and system optimization. The collaborative work of these two modules not only enhances the real-time performance and interactivity of the system but also strengthens the traceability and data analysis capabilities of the system.

[0089] Through the implementation of this application, users can obtain fault information of the refrigerator system more conveniently, thus taking timely measures to handle it and avoiding losses caused by faults. At the same time, technicians can also use the data in the data storage module for in-depth analysis, find out potential problems existing in the system, and conduct targeted optimization and improvement. This not only enhances the stability and reliability of the refrigerator system but also improves user satisfaction and trust.

[0090] As can be seen from the content of the above embodiments, a refrigerator system fault detection method and system provided by the present application effectively distinguish sensor faults from system faults through a multi-step fault detection process, reducing the misdiagnosis rate. By real-time monitoring the status of the refrigerator system, faults can be discovered and processed in a timely manner, improving the safety and reliability of refrigerator use. Moreover, the alarm mechanism of the cloud server is adopted to ensure that users can obtain fault information in a timely manner and take corresponding treatment measures, enhancing user satisfaction. The recorded historical data provides an important basis for subsequent fault analysis and system optimization, contributing to the continuous improvement of the performance and stability of the refrigerator system.

[0091] After considering the specification and practicing the disclosure herein, those skilled in the art will readily conceive of other embodiments of the present disclosure. 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 known common knowledge or conventional technical means in the technical field not disclosed by the present disclosure. The specification and embodiments are only to be considered as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

Claims

1. A method for detecting faults in a refrigerator system, characterized in that, It includes the following steps: Obtain the temperature data of the evaporator sensor and the working status data of the defrost heater uploaded by the refrigerator to the cloud; Judge whether the temperature of the evaporator sensor exceeds the first preset temperature threshold within the detection time range. If it exceeds, it is determined as sensor failure mode one; If the first preset temperature threshold is not exceeded, calculate the change rate of the temperature of the evaporator sensor. If the change rate exceeds the preset change rate threshold, it is determined as sensor failure mode two; If sensor failure mode one or two is not triggered, detect the temperature data of the evaporator sensor in the first preset time period after the last defrost heater stops heating within a single frosting cycle; Count the amount of data where the temperature of the evaporator sensor is greater than the second preset temperature threshold in the preset continuous time within the first preset time period, and calculate the ratio of the amount of data to the total amount of data in the preset continuous time; If the ratio exceeds the preset ratio threshold, it is determined as a system failure.

2. The method for detecting a refrigerator system fault according to claim 1, wherein, The first preset temperature threshold is 50°C, and the preset change rate threshold is 15°C / minute.

3. The method for detecting a refrigerator system fault according to claim 1, wherein The first preset time period is the time range from 1 hour after the defrost heater stops heating to before the next defrost heater starts heating.

4. A method for detecting faults in a refrigerator system according to claim 1, characterized in that, The preset continuous time is 3 consecutive hours, the second preset temperature threshold is -15°C, and the preset ratio threshold is 85%.

5. A refrigerator system fault detection method according to claim 1, characterized in that, The calculating the change rate of the temperature of the evaporator sensor includes the steps of: Extract the temperature data of the evaporator sensor at two adjacent time points within the frosting cycle; Calculate the temperature change amount per unit time based on the time interval between two adjacent time points and the temperature difference of the temperature data of the evaporator sensor to obtain the change rate.

6. The method for detecting a refrigerator system fault according to claim 1, wherein, When it is determined as sensor failure mode one or sensor failure mode two, interrupt the subsequent system failure detection process.

7. A refrigerator system fault detection method according to claim 1, characterized in that, The total amount of data in the preset continuous time is: the total number of sampling times of the temperature of the evaporator sensor received by the cloud within the preset continuous time.

8. A refrigerator system fault detection method according to claim 1, characterized in that, It also includes the step of: generating a failure signal and uploading it to the cloud server after the system failure is determined.

9. A refrigerator system fault detection system, characterized in that, A refrigerator system failure detection method for implementing any one of the above claims 1-8, the system includes: a data acquisition module, a first judgment module, a second judgment module, a cycle detection module and a failure determination module; The data acquisition module is used to collect the temperature of the evaporator sensor and the working status data of the defrost heater in real time and upload them to the cloud; The first judgment module is used to detect whether the temperature of the evaporator sensor exceeds the first preset temperature threshold to determine sensor failure mode one; The second judgment module is used to calculate the change rate of the temperature of the evaporator sensor and compare it with the preset change rate threshold to determine sensor failure mode two; The cycle detection module is used to extract the temperature data of the evaporator in the first preset time period within the frosting cycle; The fault determination module is used to count the amount of data where the temperature of the evaporator sensor is greater than the second preset temperature threshold within a preset continuous time period in the first preset time period, calculate the proportion of the amount of data in the total amount of data in the preset continuous time period, and output a system fault signal according to the comparison result between the proportion of temperature data in the preset continuous time period and the preset proportion threshold.

10. A refrigerator system fault detection system according to claim 9, characterized in that, It further includes: A communication module and a data storage module; The communication module is used to transmit the fault signal to the user terminal and the cloud operation and maintenance platform; The data storage module is used to record the historical data of the temperature of the evaporator sensor, the fault determination result, and the timestamp information.

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