Dual-mode cooperative control and alarm method and system of refrigerator and medium

Abstract

The invention provides a dual-mode cooperative control and alarm method and system for a refrigerator and a medium, and the method comprises the steps: firstly, enabling the refrigerator to enter a remote control mode by default after the refrigerator executes self-inspection and initialization, and carrying out the interval or local recognition verification based on a remote communication instruction, and switching the control mode; the control right is dynamically allocated according to the preset instruction priority when the instruction conflicts; dual-mode arbitration and cooperative temperature control instructions are adopted to improve the automation level of the production line; then, based on a preset threshold judgment logic, triggering first-level early warning, second-level protection or third-level linkage according to the multi-source heterogeneous data, shortening fault response time and avoiding storage failure of key samples; and finally, analyzing historical data based on machine learning to pre-judge the service life of the part, and actively pushing maintenance suggestions so as to reduce shutdown maintenance and improve energy efficiency. The refrigerating machine is comprehensively improved from a control framework and a safety protection mode to an operation and maintenance mode.

Description

Technical Field

[0001] The present invention relates to the field of refrigerators, and more particularly to a dual-mode coordinated control and alarm method, system and medium for refrigerators. Background Art

[0002] In fields like biopharmaceuticals and precision manufacturing, freezers serve as core temperature control equipment, and their operational reliability is directly linked to product quality and production safety. Traditional technologies employ a single control mode, making it difficult to balance automated production line coordination with emergency response to unexpected operating conditions. Traditional alarm systems focus solely on single component failures, such as compressor overloads, and lack coordinated protection against system-level risks like condensing pressure imbalance and refrigerant leaks, leading to a high risk of fault propagation. Traditional operations and maintenance rely on scheduled maintenance and post-event repairs, resulting in low utilization of historical data and an inability to predict component lifespans, leading to frequent unplanned downtime.

[0003] Currently, although some devices in existing solutions support remote monitoring, the control arbitration mechanism is missing, which can easily cause system disorder when remote and local commands conflict. In addition, the alarm function is mostly limited to threshold triggering, and a gradient response and cross-device collaboration mechanism have not been established. In addition, data recording focuses on basic parameter storage and lacks fault prediction and energy efficiency optimization capabilities.

[0004] Therefore, there is an urgent need for a refrigerator control technology with dual-mode collaborative control and alarm. Summary of the Invention

[0005] In view of the above problems, the purpose of the present invention is to provide a dual-mode collaborative control and alarm method, system and medium for a refrigerator, which realizes seamless transfer of control rights through intelligent switching of remote / local control modes combined with biometric authority control; establishes a three-level early warning response mechanism to synchronously coordinate external related equipment when parameters exceed the limit to reduce the impact of failures; and also analyzes historical operating data based on machine learning to predict the risk of component failure and reduce operation and maintenance costs; the present invention achieves a comprehensive improvement of the refrigerator from control architecture, safety protection to operation and maintenance mode.

[0006] A first aspect of the present invention provides a dual-mode coordinated control and alarm method for a refrigerator, the method comprising:

[0007] After the freezer performs a self-test and initialization, it enters remote control mode by default;

[0008] Based on preset mode switching rules, the control mode is switched according to the remote communication instruction interval or local identification verification;

[0009] If there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority;

[0010] According to a preset collection cycle, multi-source heterogeneous data is obtained, wherein the multi-source heterogeneous data includes compressor exhaust temperature, condensing pressure, refrigerant flow rate and power supply fluctuation parameters;

[0011] Based on the preset threshold judgment logic, triggering the first-level warning, second-level protection or third-level fault linkage according to the multi-source heterogeneous data;

[0012] After the control instruction is completed, historical operation data is obtained based on the preset data window;

[0013] Inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report;

[0014] Based on the maintenance report, maintenance recommendations are pushed via remote communication instructions.

[0015] In this solution, the control mode is switched based on the preset mode switching rules according to the remote communication instruction interval or local identification verification, specifically including:

[0016] If the remote communication command interval exceeds a preset interval time threshold, switching to local control mode;

[0017] or, when a local handover request is detected, obtaining verification information, wherein the verification information is digital instruction verification or biometric information verification;

[0018] When the verification is determined to be successful, the mode is switched to local control.

[0019] When in remote control mode, the operation log is recorded according to the communication ID in the remote communication command;

[0020] When in local control mode, an operation log is recorded according to the verification information.

[0021] In this solution, the preset threshold judgment logic is used to trigger the first-level warning, second-level protection, or third-level fault linkage according to the multi-source heterogeneous data, specifically including:

[0022] If the multi-source heterogeneous data falls below the preset first abnormal threshold, a first-level warning is triggered and a local sound and light prompt is activated;

[0023] If the multi-source heterogeneous data is within the preset first abnormal threshold and the preset second abnormal threshold, the secondary protection is triggered, the power supply of the actuator is cut off and the backup unit is started, and the fault code is pushed to the background;

[0024] If the multi-source heterogeneous data exceeds the preset second abnormal threshold range, a three-level fault linkage is triggered, and a shutdown and alarm notification is sent to the remote communication equipment.

[0025] In this solution, if there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority, specifically:

[0026] In local control mode, when there is a conflict between remote control instructions and local control instructions,

[0027] If the remote control command is a parameter adjustment command, the remote control command is used instead of the local control command;

[0028] If the remote control command is a level 2 protection command, the local control will be interrupted and an alarm command will be issued;

[0029] If the remote control command is a level 3 protection command, the system switches to remote control mode.

[0030] This solution also includes remote collaborative control, specifically:

[0031] When in remote control mode, the local operation panel only provides an alarm confirmation button;

[0032] Determine whether a local alarm command is received;

[0033] If so, the local alarm operation is performed;

[0034] If not, the collaborative control instructions sent by the collaborative device are parsed to obtain the cooling target parameters;

[0035] According to the deviation between the refrigeration target parameter and the local refrigeration state parameter, the electronic expansion valve opening, the compressor power and the condensing fan speed are dynamically adjusted.

[0036] In this solution, the multi-source heterogeneous data and the historical operation data are input into a pre-trained maintenance prediction model to obtain a maintenance report, which specifically includes:

[0037] Performing data cleaning on the historical operation data to eliminate abnormal sampling points caused by power supply fluctuations;

[0038] Extracting feature vectors according to a preset frequency band based on the vibration data of the multi-source heterogeneous data and the historical operation data;

[0039] Inputting the cleaned power fluctuation data and the feature vector into a pre-trained life prediction model to obtain the remaining life;

[0040] If the remaining life is lower than a preset life threshold, a maintenance report is generated according to the code corresponding to the component.

[0041] A second aspect of the present invention provides a dual-mode coordinated control and alarm system for a refrigerator, including a dual-mode coordinated control and alarm method program for a refrigerator. When the dual-mode coordinated control and alarm method program for a refrigerator is executed by the processor, the following steps are implemented:

[0042] After the freezer performs a self-test and initialization, it enters remote control mode by default;

[0043] Based on preset mode switching rules, the control mode is switched according to the remote communication instruction interval or local identification verification;

[0044] If there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority;

[0045] According to a preset collection cycle, multi-source heterogeneous data is obtained, wherein the multi-source heterogeneous data includes compressor exhaust temperature, condensing pressure, refrigerant flow rate and power supply fluctuation parameters;

[0046] Based on the preset threshold judgment logic, triggering the first-level warning, second-level protection or third-level fault linkage according to the multi-source heterogeneous data;

[0047] After the control instruction is completed, historical operation data is obtained based on the preset data window;

[0048] Inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report;

[0049] Based on the maintenance report, maintenance recommendations are pushed via remote communication instructions.

[0050] In this solution, the control mode is switched based on the preset mode switching rules according to the remote communication instruction interval or local identification verification, specifically including:

[0051] If the remote communication command interval exceeds a preset interval time threshold, switching to local control mode;

[0052] or, when a local handover request is detected, obtaining verification information, wherein the verification information is digital instruction verification or biometric information verification;

[0053] When the verification is determined to be successful, the mode is switched to local control.

[0054] When in remote control mode, the operation log is recorded according to the communication ID in the remote communication command;

[0055] When in local control mode, an operation log is recorded according to the verification information.

[0056] In this solution, the preset threshold judgment logic is used to trigger the first-level warning, second-level protection, or third-level fault linkage according to the multi-source heterogeneous data, specifically including:

[0057] If the multi-source heterogeneous data falls below the preset first abnormal threshold, a first-level warning is triggered and a local sound and light prompt is activated;

[0058] If the multi-source heterogeneous data is within the preset first abnormal threshold and the preset second abnormal threshold, the secondary protection is triggered, the power supply of the actuator is cut off and the backup unit is started, and the fault code is pushed to the background;

[0059] If the multi-source heterogeneous data exceeds the preset second abnormal threshold range, a three-level fault linkage is triggered, and a shutdown and alarm notification is sent to the remote communication equipment.

[0060] The third aspect of the present invention provides a computer-readable storage medium, which includes a dual-mode collaborative control and alarm method program for a refrigerator. When the dual-mode collaborative control and alarm method program for a refrigerator is executed by a processor, the steps of the dual-mode collaborative control and alarm method for a refrigerator as described in any one of the above items are implemented.

[0061] The present invention provides a dual-mode collaborative control and alarm method, system and medium for a refrigerator. First, after the refrigerator performs self-check and initialization, it enters the remote control mode by default, and switches the control mode based on the remote communication instruction interval or local identification verification; when instructions conflict, the preset instruction priority dynamically allocates control rights; dual-mode arbitration and collaborative temperature control instructions are used to improve the automation level of the production line; then, based on the preset threshold judgment logic, the first-level warning, second-level protection or third-level linkage is triggered according to multi-source heterogeneous data, shortening the fault response time and avoiding the failure of key sample preservation; finally, based on machine learning analysis of historical data, the component life is predicted, and maintenance suggestions are actively pushed to reduce downtime maintenance and improve energy efficiency; the present invention achieves a comprehensive improvement of the refrigerator from the control architecture, safety protection to operation and maintenance mode. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope.

[0063] Figure 1 A flow chart showing a dual-mode coordinated control and alarm method for a refrigerator according to the present invention is shown;

[0064] Figure 2 A control mode switching flow chart is shown in an embodiment of the present invention;

[0065] Figure 3 A flowchart of triggering a three-level warning is shown in an embodiment of the present invention;

[0066] Figure 4 A block diagram of a dual-mode coordinated control and alarm system for a refrigerator according to the present invention is shown. DETAILED DESCRIPTION

[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0068] Unless otherwise defined, all terms (including technical and scientific terms) used in the embodiments of the present invention have the same meaning as commonly understood by those skilled in the art to which the present invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined in this manner in the embodiments of the present invention.

[0069] The terms "first," "second," and similar words used in the embodiments of the present invention do not indicate any order, quantity, or importance, but are only used to distinguish different components. Terms such as "a," "an," or "the" do not indicate a limit on quantity, but rather indicate the presence of at least one. Similarly, terms such as "include," "comprise," and "comprising" mean that the elements or objects preceding the term include the elements or objects listed after the term and their equivalents, without excluding other elements or objects.

[0070] "Connected" or "connected" and similar terms are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The preceding or subsequent steps of the methods of the embodiments of the present invention do not necessarily need to be performed in exact order. Instead, various steps may be performed in reverse order or simultaneously. Furthermore, other operations may be added to these processes, or one or more steps may be removed from these processes.

[0071] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0072] Figure 1 A flow chart of a dual-mode coordinated control and alarm method for a refrigerator according to the present invention is shown.

[0073] like Figure 1 As shown, the first aspect of the present invention discloses a dual-mode coordinated control and alarm method for a refrigerator, the method comprising:

[0074] S102, after the freezer performs self-test and initialization, it enters the remote control mode by default;

[0075] S104, switching the control mode based on a preset mode switching rule, according to a remote communication instruction interval or local identification verification;

[0076] S106, if there is a conflict in the instructions, determining the control instruction based on the preset operation instruction priority;

[0077] S108, obtaining multi-source heterogeneous data according to a preset collection cycle, wherein the multi-source heterogeneous data includes compressor exhaust temperature, condensing pressure, refrigerant flow rate, and power supply fluctuation parameters;

[0078] S110, based on a preset threshold judgment logic, triggering a first-level warning, a second-level protection, or a third-level fault linkage according to the multi-source heterogeneous data;

[0079] S112, after the control instruction is completed, historical operation data is obtained based on the preset data window;

[0080] S114, inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report;

[0081] S116: Push maintenance suggestions based on the maintenance report via remote communication instructions.

[0082] It should be noted that after powering on, the freezer first performs a hardware self-test, which verifies the communication status of the temperature and pressure sensors, tests the handshake response of the PLC communication module, and drives the electronic expansion valve to perform a reciprocating opening motion to verify actuator performance. After the self-test completes, the system loads the most recently set historical operation database for use in configuring the LSTM network-based predictive model. The system defaults to remote control mode, receiving encrypted startup commands from the production line PLC and simultaneously locking the local panel touch function to prevent accidental operation. In remote control mode, a heartbeat command ensures communication connectivity. If the interval between remote communication commands exceeds a preset time, it indicates a remote communication anomaly and switches to local control. After the operator verifies their identity through biometrics such as fingerprint or facial recognition, they can manually switch to local control mode. If a remote command conflicts with a local operation, the pre-warning control command will take precedence if there is one. If it is a regular control command, local control is frozen according to the preset priority, and the PLC command takes precedence. The real-time acquisition module collects compressor exhaust temperature, condenser pressure, refrigerant flow, and power supply current waveforms at a preset interval, forming a multi-source heterogeneous dataset. When heterogeneous multi-source data approaches a safety threshold, a first-level warning is triggered, illuminating a yellow warning light. If the threshold is exceeded, a second-level protection is activated, triggering a protective action: the compressor is powered off and a backup refrigeration unit is activated to maintain the chamber temperature. If the limit is continuously exceeded, a third-level linkage is triggered, sending speed reduction commands to external connected equipment such as the cooling tower and notifying the air conditioning units to initiate emergency ventilation. After each alarm is cleared, a snapshot of the data sampled 30 minutes prior to the fault is extracted and fed into a predictive model to analyze the lifespan of each actuator. A maintenance report is generated and pushed to the central monitoring platform, along with maintenance recommendations. This achieves closed-loop management of the entire process, from device initialization and real-time monitoring to predictive maintenance.

[0083] Figure 2 A control mode switching flow chart is shown in an embodiment of the present invention.

[0084] According to an embodiment of the present invention, Figure 2 As shown, the control mode is switched based on the preset mode switching rules according to the remote communication instruction interval or local identification verification, specifically including:

[0085] S202, if the remote communication instruction interval exceeds a preset interval time threshold, switching to a local control mode;

[0086] S204, or, when a local handover request is detected, obtaining verification information, wherein the verification information is digital instruction verification or biometric information verification;

[0087] S206, switching to local control mode when it is determined that the verification is successful based on the verification information;

[0088] S208, when in remote control mode, recording an operation log according to the communication ID in the remote communication instruction;

[0089] S210 , when in local control mode, recording an operation log according to the verification information.

[0090] It should be noted that this embodiment provides switching logic between remote communication mode and local control mode. While in remote communication mode, the system continuously analyzes heartbeat packets sent by the production line PLC. If no signal is received within a set communication timeout threshold, the local panel is automatically unlocked and switched to local mode. When an operator triggers a local switch request and passes biometric verification, such as fingerprint or facial recognition, control permissions are set based on the identification results. As an implementation, administrator permissions grant access to advanced functions such as temperature calibration and forced defrost; maintenance operator permissions only authorize starting and stopping equipment and acknowledging alarms. Operation logging utilizes a dual-path mechanism. In remote mode, the communication ID, timestamp, and parameter modification values of each PLC instruction are recorded. In local mode, the operator ID, fingerprint hash value, and set parameters are associated and encrypted and stored in an audit database. Once remote communication is restored and remains stable for the set duration, the system automatically switches back to remote mode and simultaneously uploads the local operation log to the central server. If unauthorized operation is detected during local mode, an audible and visual alarm is immediately triggered and the control panel is frozen. This embodiment uses biometric technology to achieve refined authority management, combined with dual-mode operation log tracing, which not only meets the need for manual intervention in emergency conditions, but also ensures that the entire operation chain complies with audit standards in the medical field.

[0091] Figure 3 A triggering flow chart of a three-level warning is shown in an embodiment of the present invention.

[0092] According to an embodiment of the present invention, Figure 3 As shown, the preset threshold judgment logic is based on the multi-source heterogeneous data to trigger the first-level warning, second-level protection or third-level fault linkage, specifically including:

[0093] S302: If the multi-source heterogeneous data is lower than the preset first abnormal threshold, a first-level warning is triggered and a local sound and light prompt is activated;

[0094] S304: If the multi-source heterogeneous data is within the range of the preset first abnormal threshold and the preset second abnormal threshold, the secondary protection is triggered, the power supply of the actuator is cut off, the backup unit is activated, and the fault code is pushed to the background;

[0095] S306: If the multi-source heterogeneous data exceeds a preset second abnormal threshold range, a third-level fault linkage is triggered, and a shutdown and alarm notification is sent to the remote communication device.

[0096] It should be noted that in this embodiment, after the multi-parameter threshold monitoring process is initiated, the system compares the collected data with the preset safety thresholds in real time. If the safety thresholds are exceeded, a three-level warning mechanism is triggered. Taking condensing pressure as an example, the pressure safety threshold is 1.5 MPa, the first abnormal threshold is 1.6 MPa, and the second abnormal threshold is 1.8 MPa. When the condensing pressure exceeds 1.5 MPa, a three-level warning mechanism is triggered: If the condensing pressure is lower than 1.6 MPa, a first-level warning is triggered, with a warning displayed by a buzzer or indicator light, or a pop-up window on the central control screen indicating that the condensing pressure is high. If the condensing pressure is between 1.6 MPa and 1.8 MPa, a second-level protection is immediately implemented, including disconnecting the compressor power supply via the main circuit relay, activating the backup semiconductor refrigeration unit to maintain the sample area temperature, and simultaneously sending a fault code containing the device code to the monitoring center. If the condensing pressure continues to rise above 1.8 MPa, a three-level linkage is activated, sending a shutdown command to the cooling tower via Modbus-TCP, simultaneously notifying the air conditioning unit to switch to full-power ventilation mode, and sending a geo-located alarm notification via the mobile app. This embodiment adopts the first-level early warning to provide only local prompts without interrupting production, the second-level protection to maintain basic refrigeration functions, and the third-level linkage to achieve cross-device collaborative protection and build a gradient safety response system.

[0097] According to an embodiment of the present invention, if there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority, specifically:

[0098] In local control mode, when there is a conflict between remote control instructions and local control instructions,

[0099] If the remote control command is a parameter adjustment command, the remote control command is used instead of the local control command;

[0100] If the remote control command is a level 2 protection command, the local control will be interrupted and an alarm command will be issued;

[0101] If the remote control command is a level 3 protection command, the system switches to remote control mode.

[0102] It's important to note that control command conflict arbitration begins with mode state detection. For example, if an operator sets a rapid cooling program in local mode and receives a temperature increase command from the PLC, the system automatically compares the command type. Because parameter adjustment commands take precedence over local operations, they immediately override the local setting and indicate on the operator interface that the remote command is in effect. If a secondary protection command from the PLC is received during a local defrost program, the arbitration module immediately interrupts the defrost process. The main controller sends a shutdown command to the actuator unit, triggering a red alarm indicator and locking the local panel. In exceptional cases, if the PLC issues a three-level linkage command, the system forcibly switches to remote mode, shutting down all non-essential loads. During the arbitration process, a conflict event report is generated in real time, recording the conflicting command content, arbitration results, and execution time. Command priorities are ranked from highest to lowest: system protection, equipment protection, and parameter adjustment. System protection commands override three-level linkage commands, equipment protection commands override secondary protection commands, and parameter adjustment commands override equipment operation commands. This process, through pre-set command priority rules, ensures efficient production line collaboration while minimizing the risk of equipment damage.

[0103] According to an embodiment of the present invention, remote collaborative control is also included, specifically:

[0104] When in remote control mode, the local operation panel only provides an alarm confirmation button;

[0105] Determine whether a local alarm command is received;

[0106] If so, the local alarm operation is performed;

[0107] If not, the collaborative control instructions sent by the collaborative device are parsed to obtain the cooling target parameters;

[0108] According to the deviation between the refrigeration target parameter and the local refrigeration state parameter, the electronic expansion valve opening, the compressor power and the condensing fan speed are dynamically adjusted.

[0109] It should be noted that this embodiment provides a multi-device remote collaboration mechanism. When in remote control mode, all local panels except the red emergency button are disabled. When the operator presses the alarm button, the system immediately broadcasts a shutdown signal to the associated equipment. If there is no local alarm, the collaborative instructions issued by the PLC are continuously parsed to obtain the control adjustment target parameters, such as target cooling capacity, target steady-state temperature, etc. The control algorithm calculates the deviation between the current cooling output and the target value in real time, and dynamically adjusts the actuator through the PID control algorithm, including but not limited to controlling the opening of the electronic expansion valve, the output frequency of the compressor inverter, and the speed of the condensing fan. During collaborative cooling, if an abnormality is detected in the local temperature sensor, it automatically switches to the backup sensor and recalibrates. This embodiment ensures centralized control through closed panel management, and combines the collaborative adjustment of multiple actuators to achieve precise matching of cooling capacity.

[0110] According to an embodiment of the present invention, inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report specifically includes:

[0111] Performing data cleaning on the historical operation data to eliminate abnormal sampling points caused by power supply fluctuations;

[0112] Extracting feature vectors according to a preset frequency band based on the vibration data of the multi-source heterogeneous data and the historical operation data;

[0113] Inputting the cleaned power fluctuation data and the feature vector into a pre-trained life prediction model to obtain the remaining life;

[0114] If the remaining life is lower than a preset life threshold, a maintenance report is generated according to the code corresponding to the component.

[0115] It should be noted that this embodiment provides a maintenance prediction model. Before maintenance prediction, data preprocessing is performed, including wavelet denoising of vibration signals in the historical database to remove high-frequency interference caused by power supply fluctuations. Feature vector extraction is then performed, and the vibration spectrum is decomposed into three characteristic bands. Bearing wear characteristics are obtained by extracting the envelope spectrum peak in the 0-100 Hz band, blade imbalance is determined by analyzing the harmonic energy ratio in the 100-500 Hz band, and shaft eccentricity is determined by detecting the sideband modulation index in the 500-1000 Hz band. The cleaned power quality data and the feature vectors are input into the prediction model, which outputs the remaining life percentage. The prediction model utilizes a three-layer CNN network architecture: the first convolutional layer extracts time-domain features, the second layer focuses on frequency-domain correlations, and the third layer is a fully connected layer that outputs the prediction results. When the predicted component life reaches the safe life threshold, the system generates a maintenance work order based on the bill of materials (BOM) and simultaneously pushes a graphic and text-based operation guide to the maintenance personnel's mobile terminal. This embodiment achieves precise health management of key components through multi-band feature analysis and lifecycle prediction.

[0116] It is worth mentioning that it also includes self-training of the maintenance prediction model, specifically:

[0117] After each alarm is released, the fault handling process data is added to the training set as a new sample;

[0118] The sliding window method is used to retain the data of the most recent preset first time period, and the model weights are retrained according to the preset training cycle;

[0119] Calculate the prediction accuracy based on the predicted results and actual results;

[0120] If the accuracy is lower than the preset accuracy threshold, the fault feature matrix of the same model is downloaded from the background and an AB test is performed to determine whether the local model is covered.

[0121] It should be noted that this embodiment provides a model self-training mechanism. After each alarm is lifted, the self-training mechanism is started. As an implementation method, the data one hour before the occurrence of this fault is used as a new sample and added to the end of the training set. A sliding window is used to manage data, and the samples of the last 24 hours are permanently retained, and incremental training is started at a set time every morning. After the training is completed, the shadow model is deployed, and the old and new models are run in parallel in the production environment to continuously monitor the prediction deviation. When the weekly statistical accuracy is lower than the set threshold for 5 consecutive days, the model is determined to be invalid, and the feature matrix of the same model device is downloaded from the cloud, and an AB comparison verification is performed in the test environment. During the test, local operation data is collected in real time, and the new and old models are respectively input to generate prediction reports, and the version with higher accuracy is selected for online. This embodiment adapts to the aging characteristics of equipment through incremental learning, and continuously optimizes the prediction accuracy in combination with cloud knowledge sharing.

[0122] It is worth mentioning that the initialization score of the execution component is also included, specifically:

[0123] Drive the electronic expansion valve to perform a step test from fully closed to fully open, and calculate the electronic expansion valve health score based on the feedback current curve;

[0124] Drive the compressor to perform a step test from 0 to rated power, and calculate the compressor health score based on the motor current curve;

[0125] Drive the condensing fan to perform a step test from 0 to the maximum speed, and calculate the health score of the condensing fan based on the wind pressure curve;

[0126] The health score is used for component life prediction.

[0127] It should be noted that this implementation provides a component health assessment mechanism that operates during the system startup self-test phase. First, the electronic expansion valve test module drives the valve, performing a set step motion from 0% to 100%, and collects the opening feedback signal via a high-precision current sensor. The electronic expansion valve health calculation metrics include response delay, positioning accuracy, and repeatability error, and a linear weighted algorithm is used to generate the electronic expansion valve health score. Next, the compressor test uses a ramp loading mechanism, linearly increasing power from 0% to 100% of rated power, while simultaneously recording the motor current waveform. The current harmonic distortion rate and specific subharmonic components are analyzed. Based on these harmonic distortion rates and specific subharmonic components, a mapping table is searched to determine the compressor motor status and, in turn, the compressor health score. The condenser fan test performs a 0-100% speed sweep, with the air pressure sensor collecting the dynamic response curve. The health assessment identifies blade deformation or bearing seizure based on the air pressure build-up rate and fluctuation coefficient, and calculates the condenser fan health score using a pre-set algorithm. All scores are stored in the health record. When individual scores fall below a preset safety threshold, preventive maintenance recommendations are generated to guide the development of targeted maintenance plans. Furthermore, all scores serve as input parameters for a maintenance prediction model, contributing to component lifespan predictions.

[0128] Figure 4 A block diagram of a dual-mode coordinated control and alarm system for a refrigerator according to the present invention is shown.

[0129] like Figure 4 As shown, the second aspect of the present invention discloses a dual-mode coordinated control and alarm system 4 for a refrigerator, comprising a memory 41 and a processor 42. The memory includes a dual-mode coordinated control and alarm method program for the refrigerator. When the dual-mode coordinated control and alarm method program for the refrigerator is executed by the processor, the following steps are implemented:

[0130] After the freezer performs a self-test and initialization, it enters remote control mode by default;

[0131] Based on preset mode switching rules, the control mode is switched according to the remote communication instruction interval or local identification verification;

[0132] If there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority;

[0133] According to a preset collection cycle, multi-source heterogeneous data is obtained, wherein the multi-source heterogeneous data includes compressor exhaust temperature, condensing pressure, refrigerant flow rate and power supply fluctuation parameters;

[0134] Based on the preset threshold judgment logic, triggering the first-level warning, second-level protection or third-level fault linkage according to the multi-source heterogeneous data;

[0135] After the control instruction is completed, historical operation data is obtained based on the preset data window;

[0136] Inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report;

[0137] Based on the maintenance report, maintenance recommendations are pushed via remote communication instructions.

[0138] It should be noted that after powering on, the freezer first performs a hardware self-test, which verifies the communication status of the temperature and pressure sensors, tests the handshake response of the PLC communication module, and drives the electronic expansion valve to perform a reciprocating opening motion to verify actuator performance. After the self-test completes, the system loads the most recently set historical operation database for use in configuring the LSTM network-based predictive model. The system defaults to remote control mode, receiving encrypted startup commands from the production line PLC and simultaneously locking the local panel touch function to prevent accidental operation. In remote control mode, a heartbeat command ensures communication connectivity. If the interval between remote communication commands exceeds a preset time, it indicates a remote communication anomaly and switches to local control. After the operator verifies their identity through biometrics such as fingerprint or facial recognition, they can manually switch to local control mode. If a remote command conflicts with a local operation, the pre-warning control command will take precedence if there is one. If it is a regular control command, local control is frozen according to the preset priority, and the PLC command takes precedence. The real-time acquisition module collects compressor exhaust temperature, condenser pressure, refrigerant flow, and power supply current waveforms at a preset interval, forming a multi-source heterogeneous dataset. When heterogeneous multi-source data approaches a safety threshold, a first-level warning is triggered, illuminating a yellow warning light. If the threshold is exceeded, a second-level protection is activated, triggering a protective action: the compressor is powered off and a backup refrigeration unit is activated to maintain the chamber temperature. If the limit is continuously exceeded, a third-level linkage is triggered, sending speed reduction commands to external connected equipment such as the cooling tower and notifying the air conditioning units to initiate emergency ventilation. After each alarm is cleared, a snapshot of the data sampled 30 minutes prior to the fault is extracted and fed into a predictive model to analyze the lifespan of each actuator. A maintenance report is generated and pushed to the central monitoring platform, along with maintenance recommendations. This achieves closed-loop management of the entire process, from device initialization and real-time monitoring to predictive maintenance.

[0139] According to an embodiment of the present invention, the control mode is switched based on a preset mode switching rule according to a remote communication instruction interval or local identification verification, specifically including:

[0140] If the remote communication command interval exceeds a preset interval time threshold, switching to local control mode;

[0141] or, when a local handover request is detected, obtaining verification information, wherein the verification information is digital instruction verification or biometric information verification;

[0142] When the verification is determined to be successful, the mode is switched to local control.

[0143] When in remote control mode, the operation log is recorded according to the communication ID in the remote communication command;

[0144] When in local control mode, an operation log is recorded according to the verification information.

[0145] It should be noted that this embodiment provides switching logic between remote communication mode and local control mode. While in remote communication mode, the system continuously analyzes heartbeat packets sent by the production line PLC. If no signal is received within a set communication timeout threshold, the local panel is automatically unlocked and switched to local mode. When an operator triggers a local switch request and passes biometric verification, such as fingerprint or facial recognition, control permissions are set based on the identification results. As an implementation, administrator permissions grant access to advanced functions such as temperature calibration and forced defrost; maintenance operator permissions only authorize starting and stopping equipment and acknowledging alarms. Operation logging utilizes a dual-path mechanism. In remote mode, the communication ID, timestamp, and parameter modification values of each PLC instruction are recorded. In local mode, the operator ID, fingerprint hash value, and set parameters are associated and encrypted and stored in an audit database. Once remote communication is restored and remains stable for the set duration, the system automatically switches back to remote mode and simultaneously uploads the local operation log to the central server. If unauthorized operation is detected during local mode, an audible and visual alarm is immediately triggered and the control panel is frozen. This embodiment uses biometric technology to achieve refined authority management, combined with dual-mode operation log tracing, which not only meets the need for manual intervention in emergency conditions, but also ensures that the entire operation chain complies with audit standards in the medical field.

[0146] According to an embodiment of the present invention, the triggering of the first-level warning, second-level protection, or third-level fault linkage based on the multi-source heterogeneous data based on the preset threshold judgment logic specifically includes:

[0147] If the multi-source heterogeneous data falls below the preset first abnormal threshold, a first-level warning is triggered and a local sound and light prompt is activated;

[0148] If the multi-source heterogeneous data is within the preset first abnormal threshold and the preset second abnormal threshold, the secondary protection is triggered, the power supply of the actuator is cut off and the backup unit is started, and the fault code is pushed to the background;

[0149] If the multi-source heterogeneous data exceeds the preset second abnormal threshold range, a three-level fault linkage is triggered, and a shutdown and alarm notification is sent to the remote communication equipment.

[0150] It should be noted that in this embodiment, after the multi-parameter threshold monitoring process is initiated, the system compares the collected data with the preset safety thresholds in real time. If the safety thresholds are exceeded, a three-level warning mechanism is triggered. Taking condensing pressure as an example, the pressure safety threshold is 1.5 MPa, the first abnormal threshold is 1.6 MPa, and the second abnormal threshold is 1.8 MPa. When the condensing pressure exceeds 1.5 MPa, a three-level warning mechanism is triggered: If the condensing pressure is lower than 1.6 MPa, a first-level warning is triggered, with a warning displayed by a buzzer or indicator light, or a pop-up window on the central control screen indicating that the condensing pressure is high. If the condensing pressure is between 1.6 MPa and 1.8 MPa, a second-level protection is immediately implemented, including disconnecting the compressor power supply via the main circuit relay, activating the backup semiconductor refrigeration unit to maintain the sample area temperature, and simultaneously sending a fault code containing the device code to the monitoring center. If the condensing pressure continues to rise above 1.8 MPa, a three-level linkage is activated, sending a shutdown command to the cooling tower via Modbus-TCP, simultaneously notifying the air conditioning unit to switch to full-power ventilation mode, and sending a geo-located alarm notification via the mobile app. This embodiment adopts the first-level early warning to provide only local prompts without interrupting production, the second-level protection to maintain basic refrigeration functions, and the third-level linkage to achieve cross-device collaborative protection and build a gradient safety response system.

[0151] According to an embodiment of the present invention, if there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority, specifically:

[0152] In local control mode, when there is a conflict between remote control instructions and local control instructions,

[0153] If the remote control command is a parameter adjustment command, the remote control command is used instead of the local control command;

[0154] If the remote control command is a level 2 protection command, the local control will be interrupted and an alarm command will be issued;

[0155] If the remote control command is a level 3 protection command, the system switches to remote control mode.

[0156] It's important to note that control command conflict arbitration begins with mode state detection. For example, if an operator sets a rapid cooling program in local mode and receives a temperature increase command from the PLC, the system automatically compares the command type. Because parameter adjustment commands take precedence over local operations, they immediately override the local setting and indicate on the operator interface that the remote command is in effect. If a secondary protection command from the PLC is received during a local defrost program, the arbitration module immediately interrupts the defrost process. The main controller sends a shutdown command to the actuator unit, triggering a red alarm indicator and locking the local panel. In exceptional cases, if the PLC issues a three-level linkage command, the system forcibly switches to remote mode, shutting down all non-essential loads. During the arbitration process, a conflict event report is generated in real time, recording the conflicting command content, arbitration results, and execution time. Command priorities are ranked from highest to lowest: system protection, equipment protection, and parameter adjustment. System protection commands override three-level linkage commands, equipment protection commands override secondary protection commands, and parameter adjustment commands override equipment operation commands. This process, through pre-set command priority rules, ensures efficient production line collaboration while minimizing the risk of equipment damage.

[0157] According to an embodiment of the present invention, remote collaborative control is also included, specifically:

[0158] When in remote control mode, the local operation panel only provides an alarm confirmation button;

[0159] Determine whether a local alarm command is received;

[0160] If so, the local alarm operation is performed;

[0161] If not, the collaborative control instructions sent by the collaborative device are parsed to obtain the cooling target parameters;

[0162] According to the deviation between the refrigeration target parameter and the local refrigeration state parameter, the electronic expansion valve opening, the compressor power and the condensing fan speed are dynamically adjusted.

[0163] It should be noted that this embodiment provides a multi-device remote collaboration mechanism. When in remote control mode, all local panels except the red emergency button are disabled. When the operator presses the alarm button, the system immediately broadcasts a shutdown signal to the associated equipment. If there is no local alarm, the collaborative instructions issued by the PLC are continuously parsed to obtain the control adjustment target parameters, such as target cooling capacity, target steady-state temperature, etc. The control algorithm calculates the deviation between the current cooling output and the target value in real time, and dynamically adjusts the actuator through the PID control algorithm, including but not limited to controlling the opening of the electronic expansion valve, the output frequency of the compressor inverter, and the speed of the condensing fan. During collaborative cooling, if an abnormality is detected in the local temperature sensor, it automatically switches to the backup sensor and recalibrates. This embodiment ensures centralized control through closed panel management, and combines the collaborative adjustment of multiple actuators to achieve precise matching of cooling capacity.

[0164] According to an embodiment of the present invention, inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report specifically includes:

[0165] Performing data cleaning on the historical operation data to eliminate abnormal sampling points caused by power supply fluctuations;

[0166] Extracting feature vectors according to a preset frequency band based on the vibration data of the multi-source heterogeneous data and the historical operation data;

[0167] Inputting the cleaned power fluctuation data and the feature vector into a pre-trained life prediction model to obtain the remaining life;

[0168] If the remaining life is lower than a preset life threshold, a maintenance report is generated according to the code corresponding to the component.

[0169] It should be noted that this embodiment provides a maintenance prediction model. Before maintenance prediction, data preprocessing is performed, including wavelet denoising of vibration signals in the historical database to remove high-frequency interference caused by power supply fluctuations. Feature vector extraction is then performed, and the vibration spectrum is decomposed into three characteristic bands. Bearing wear characteristics are obtained by extracting the envelope spectrum peak in the 0-100 Hz band, blade imbalance is determined by analyzing the harmonic energy ratio in the 100-500 Hz band, and shaft eccentricity is determined by detecting the sideband modulation index in the 500-1000 Hz band. The cleaned power quality data and the feature vectors are input into the prediction model, which outputs the remaining life percentage. The prediction model utilizes a three-layer CNN network architecture: the first convolutional layer extracts time-domain features, the second layer focuses on frequency-domain correlations, and the third layer is a fully connected layer that outputs the prediction results. When the predicted component life reaches the safe life threshold, the system generates a maintenance work order based on the bill of materials (BOM) and simultaneously pushes a graphic and text-based operation guide to the maintenance personnel's mobile terminal. This embodiment achieves precise health management of key components through multi-band feature analysis and lifecycle prediction.

[0170] It is worth mentioning that it also includes self-training of the maintenance prediction model, specifically:

[0171] After each alarm is released, the fault handling process data is added to the training set as a new sample;

[0172] The sliding window method is used to retain the data of the most recent preset first time period, and the model weights are retrained according to the preset training cycle;

[0173] Calculate the prediction accuracy based on the predicted results and actual results;

[0174] If the accuracy is lower than the preset accuracy threshold, the fault feature matrix of the same model is downloaded from the background and an AB test is performed to determine whether the local model is covered.

[0175] It should be noted that this embodiment provides a model self-training mechanism. After each alarm is lifted, the self-training mechanism is started. As an implementation method, the data one hour before the occurrence of this fault is used as a new sample and added to the end of the training set. A sliding window is used to manage data, and the samples of the last 24 hours are permanently retained, and incremental training is started at a set time every morning. After the training is completed, the shadow model is deployed, and the old and new models are run in parallel in the production environment to continuously monitor the prediction deviation. When the weekly statistical accuracy is lower than the set threshold for 5 consecutive days, the model is determined to be invalid, and the feature matrix of the same model device is downloaded from the cloud, and an AB comparison verification is performed in the test environment. During the test, local operation data is collected in real time, and the new and old models are respectively input to generate prediction reports, and the version with higher accuracy is selected for online. This embodiment adapts to the aging characteristics of equipment through incremental learning, and continuously optimizes the prediction accuracy in combination with cloud knowledge sharing.

[0176] It is worth mentioning that the initialization score of the execution component is also included, specifically:

[0177] Drive the electronic expansion valve to perform a step test from fully closed to fully open, and calculate the electronic expansion valve health score based on the feedback current curve;

[0178] Drive the compressor to perform a step test from 0 to rated power, and calculate the compressor health score based on the motor current curve;

[0179] Drive the condensing fan to perform a step test from 0 to the maximum speed, and calculate the health score of the condensing fan based on the wind pressure curve;

[0180] The health score is used for component life prediction.

[0181] It should be noted that this implementation provides a component health assessment mechanism that operates during the system startup self-test phase. First, the electronic expansion valve test module drives the valve, performing a set step motion from 0% to 100%, and collects the opening feedback signal via a high-precision current sensor. The electronic expansion valve health calculation metrics include response delay, positioning accuracy, and repeatability error, and a linear weighted algorithm is used to generate the electronic expansion valve health score. Next, the compressor test uses a ramp loading mechanism, linearly increasing power from 0% to 100% of rated power, while simultaneously recording the motor current waveform. The current harmonic distortion rate and specific subharmonic components are analyzed. Based on these harmonic distortion rates and specific subharmonic components, a mapping table is searched to determine the compressor motor status and, in turn, the compressor health score. The condenser fan test performs a 0-100% speed sweep, with the air pressure sensor collecting the dynamic response curve. The health assessment identifies blade deformation or bearing seizure based on the air pressure build-up rate and fluctuation coefficient, and calculates the condenser fan health score using a pre-set algorithm. All scores are stored in the health record. When individual scores fall below a preset safety threshold, preventive maintenance recommendations are generated to guide the development of targeted maintenance plans. Furthermore, all scores serve as input parameters for a maintenance prediction model, contributing to component lifespan predictions.

[0182] The third aspect of the present invention provides a computer-readable storage medium, which includes a dual-mode collaborative control and alarm method program for a refrigerator. When the dual-mode collaborative control and alarm method program for a refrigerator is executed by a processor, the steps of the dual-mode collaborative control and alarm method for a refrigerator as described in any one of the above items are implemented.

[0183] In summary, the present invention provides a dual-mode collaborative control and alarm method, system and medium for a refrigerator. First, after the refrigerator performs self-test and initialization, it enters the remote control mode by default, and switches the control mode based on the remote communication instruction interval or local identification verification; when instructions conflict, the preset instruction priority dynamically allocates control rights; dual-mode arbitration and collaborative temperature control instructions are used to improve the automation level of the production line; then, based on the preset threshold judgment logic, the first-level warning, second-level protection or third-level linkage is triggered according to multi-source heterogeneous data, shortening the fault response time and avoiding the failure of key sample preservation; finally, based on machine learning analysis of historical data, the component life is predicted, and maintenance suggestions are actively pushed to reduce downtime maintenance and improve energy efficiency; the present invention achieves a comprehensive improvement of the refrigerator from control architecture, safety protection to operation and maintenance mode.

[0184] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0185] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A dual-mode coordinated control and alarm method for a refrigerator, characterized in that: The method comprises: After the freezer performs a self-test and initialization, it enters remote control mode by default; Based on preset mode switching rules, the control mode is switched according to the remote communication instruction interval or local identification verification; If there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority; According to a preset collection cycle, multi-source heterogeneous data is obtained, wherein the multi-source heterogeneous data includes compressor exhaust temperature, condensing pressure, refrigerant flow rate and power supply fluctuation parameters; Based on the preset threshold judgment logic, triggering the first-level warning, second-level protection or third-level fault linkage according to the multi-source heterogeneous data; After the control instruction is completed, historical operation data is obtained based on the preset data window; Inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report; Based on the maintenance report, maintenance recommendations are pushed via remote communication instructions.

2. A dual-mode coordinated control and alarm method for a refrigerator according to claim 1, characterized in that: The control mode is switched based on the preset mode switching rules according to the remote communication instruction interval or local identification verification, specifically including: If the remote communication command interval exceeds a preset interval time threshold, switching to local control mode; or, when a local handover request is detected, obtaining verification information, wherein the verification information is digital instruction verification or biometric information verification; When the verification is determined to be successful, the mode is switched to local control. When in remote control mode, the operation log is recorded according to the communication ID in the remote communication command; When in local control mode, an operation log is recorded according to the verification information.

3. The dual-mode coordinated control and alarm method for a refrigerator according to claim 1, characterized in that: The preset threshold judgment logic is based on the multi-source heterogeneous data, triggering the first-level warning, second-level protection or third-level fault linkage, specifically including: If the multi-source heterogeneous data falls below the preset first abnormal threshold, a first-level warning is triggered and a local sound and light prompt is activated; If the multi-source heterogeneous data is within the preset first abnormal threshold and the preset second abnormal threshold, the secondary protection is triggered, the power supply of the actuator is cut off and the backup unit is started, and the fault code is pushed to the background; If the multi-source heterogeneous data exceeds the preset second abnormal threshold range, a three-level fault linkage is triggered, and a shutdown and alarm notification is sent to the remote communication equipment.

4. The dual-mode coordinated control and alarm method for a refrigerator according to claim 1, characterized in that: If there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority, specifically: In local control mode, when there is a conflict between remote control instructions and local control instructions, If the remote control command is a parameter adjustment command, the remote control command is used instead of the local control command; If the remote control command is a level 2 protection command, the local control will be interrupted and an alarm command will be issued; If the remote control command is a level 3 protection command, the system switches to remote control mode.

5. The dual-mode coordinated control and alarm method for a refrigerator according to claim 1, characterized in that: It also includes remote collaborative control, specifically: When in remote control mode, the local operation panel only provides an alarm confirmation button; Determine whether a local alarm command is received; If so, the local alarm operation is performed; If not, the collaborative control instructions sent by the collaborative device are parsed to obtain the cooling target parameters; According to the deviation between the refrigeration target parameter and the local refrigeration state parameter, the electronic expansion valve opening, the compressor power and the condensing fan speed are dynamically adjusted.

6. The dual-mode coordinated control and alarm method for a refrigerator according to claim 1, characterized in that: Inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report specifically includes: Performing data cleaning on the historical operation data to eliminate abnormal sampling points caused by power supply fluctuations; Extracting feature vectors according to a preset frequency band based on the vibration data of the multi-source heterogeneous data and the historical operation data; Inputting the cleaned power fluctuation data and the feature vector into a pre-trained life prediction model to obtain the remaining life; If the remaining life is lower than a preset life threshold, a maintenance report is generated according to the code corresponding to the component.

7. A dual-mode coordinated control and alarm system for a refrigerator, characterized in that: The system includes a memory and a processor. The memory includes a dual-mode coordinated control and alarm method program for a refrigerator. When the dual-mode coordinated control and alarm method program for a refrigerator is executed by the processor, the following steps are implemented: After the freezer performs a self-test and initialization, it enters remote control mode by default; Based on preset mode switching rules, the control mode is switched according to the remote communication instruction interval or local identification verification; If there is a conflict in the instructions, the control instruction is determined based on the preset operation instruction priority; According to a preset collection cycle, multi-source heterogeneous data is obtained, wherein the multi-source heterogeneous data includes compressor exhaust temperature, condensing pressure, refrigerant flow rate and power supply fluctuation parameters; Based on the preset threshold judgment logic, triggering the first-level warning, second-level protection or third-level fault linkage according to the multi-source heterogeneous data; After the control instruction is completed, historical operation data is obtained based on the preset data window; Inputting the multi-source heterogeneous data and the historical operation data into a pre-trained maintenance prediction model to obtain a maintenance report; Based on the maintenance report, maintenance recommendations are pushed via remote communication instructions.

8. The dual-mode coordinated control and alarm system for a refrigerator according to claim 7, characterized in that: The control mode is switched based on the preset mode switching rules according to the remote communication instruction interval or local identification verification, specifically including: If the remote communication command interval exceeds a preset interval time threshold, switching to local control mode; or, when a local handover request is detected, obtaining verification information, wherein the verification information is digital instruction verification or biometric information verification; When the verification is determined to be successful, the mode is switched to local control. When in remote control mode, the operation log is recorded according to the communication ID in the remote communication command; When in local control mode, an operation log is recorded according to the verification information.

9. The dual-mode coordinated control and alarm system for a refrigerator according to claim 7, characterized in that: The preset threshold judgment logic is based on the multi-source heterogeneous data, triggering the first-level warning, second-level protection or third-level fault linkage, specifically including: If the multi-source heterogeneous data falls below the preset first abnormal threshold, a first-level warning is triggered and a local sound and light prompt is activated; If the multi-source heterogeneous data is within the preset first abnormal threshold and the preset second abnormal threshold, the secondary protection is triggered, the power supply of the actuator is cut off and the backup unit is started, and the fault code is pushed to the background; If the multi-source heterogeneous data exceeds the preset second abnormal threshold range, a three-level fault linkage is triggered, and a shutdown and alarm notification is sent to the remote communication equipment.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer-readable storage medium includes a dual-mode collaborative control and alarm method program for a refrigerator. When the dual-mode collaborative control and alarm method program for a refrigerator is executed by a processor, the steps of the dual-mode collaborative control and alarm method for a refrigerator as described in any one of claims 1 to 6 are implemented.

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