Intelligent fresh-keeping cabinet and intelligent fresh-keeping control method thereof

Abstract

According to the intelligent fresh-keeping cabinet and the intelligent fresh-keeping control method thereof, the high-frequency access event of the intelligent fresh-keeping cabinet in the specified time period is identified from the goods taking operation record of each material box in the intelligent fresh-keeping cabinet in the specified time period, and the power missing value of a local area is determined according to the high-frequency access event and the working power of the whole machine; and carrying out load compensation on local refrigeration power in the intelligent fresh-keeping cabinet on the basis of a compensation value of the refrigeration power of temperature fluctuation caused by frequent opening of a cabinet door in each power-deficient material box, so that the local refrigeration power in the intelligent fresh-keeping cabinet is compensated on the premise of maintaining the working power of the whole machine not to exceed the rated power. And directional refrigeration is conducted on all the power-deficient material boxes, it is ensured that the temperature is rapidly recovered to be within the fresh-keeping threshold value range, and a load state report of the intelligent fresh-keeping cabinet is generated. On the basis of the scheme, on-demand distribution of the local refrigeration power under the whole machine power constraint can be achieved, and therefore the temperature stability of the intelligent fresh-keeping cabinet can be improved when the intelligent fresh-keeping cabinet deals with high-frequency access disturbance.

Description

Technical Field

[0001] This invention relates to the field of intelligent refrigerator technology, and more specifically, to an intelligent refrigerator and its intelligent preservation control method. Background Technology

[0002] The intelligent refrigerated display case is a modular cold chain device that integrates constant temperature preservation, unattended operation, and intelligent delivery. It adopts an industrial-grade control system and a double-sided picking design, with a built-in high-density material bin and a precise temperature control system. It supports mobile APP shopping, QR code pickup, and access to third-party platforms. It is suitable for community fresh food and agricultural product self-pickup scenarios, ensuring the freshness of goods while achieving efficient and intensive operation.

[0003] Existing technologies employ a cooling power output strategy based on global average temperature. When the retrieval port is frequently opened due to high-frequency access, external hot air continuously intrudes into the localized area, causing a rapid rise in temperature in a few internal bins and their surrounding environment, creating a sudden localized heat load. However, traditional global cooling systems cannot detect such localized disturbances. Even if they detect a slight change in global temperature, their response is a slow and uniform increase in the cooling power of the entire cabinet, making it difficult to quickly cool down the core area where the temperature is soaring. This results in some bins remaining in an overheated state for extended periods, compromising the preservation quality. Therefore, how to achieve on-demand allocation of localized cooling power under the constraint of overall machine power, thereby improving the temperature stability of intelligent refrigerators when dealing with high-frequency access disturbances, has become a challenge for the industry. Summary of the Invention

[0004] This invention provides an intelligent refrigerator and its intelligent preservation control method, which can realize the on-demand allocation of local refrigeration power under the constraint of the whole machine power, thereby improving the temperature stability of the intelligent refrigerator when dealing with high-frequency access disturbances.

[0005] In a first aspect, the present invention provides an intelligent preservation control method, comprising the following steps: Collect the retrieval operation records of each material box in the intelligent refrigerated cabinet within a specified time period; High-frequency access events of the smart refrigerator within a specified time period are identified from various pickup operation records. When a high-frequency access event is identified, the overall operating power of the smart refrigerator is obtained. Based on the high-frequency access event and the overall operating power, the operating power in the local area of ​​the high-frequency access event is determined to be missing, and the power missing value of the local area is obtained. By using the power deficiency value and the preservation threshold of the bins in the smart refrigerator, multiple bins with power deficiency are screened out from all bins in the local area, and then the compensation value of the refrigeration power of each bin with power deficiency caused by the frequent opening of the cabinet door is determined. Based on various compensation values, the local refrigeration power in the intelligent refrigerator is compensated for, so as to carry out targeted refrigeration for each power-deficient bin while keeping the overall machine power below the rated power, ensuring that the temperature quickly recovers to the preservation threshold range, and generating a load status report of the intelligent refrigerator.

[0006] In some embodiments, identifying high-frequency access events of the smart refrigerator within a specified time period from various retrieval operation records specifically includes: The number of times the material bins of the smart refrigerator were stored and retrieved at each pickup port within a specified time period is counted in each pickup operation record. Calculate the time interval between two consecutive access operations; High-frequency access events are selected from the access times of each picking port based on the total number of bin access operations and the time intervals.

[0007] In some embodiments, determining the missing power in a local region of a high-frequency access event based on the high-frequency access event and the overall system operating power, and obtaining the missing power value in the local region specifically includes: Obtain the current operating power and rated power of the entire machine; The power margin available for compensation is calculated based on the current overall operating power and the rated power. The total power loss in the local area is calculated based on the number of bins affected by high-frequency access events and the compensation power required for the temperature rise caused by the average single door opening. The power deficit value of a local area is determined based on the total power deficit and the power margin.

[0008] In some embodiments, selecting multiple power-deficient bins from all bins in a local area based on the power deficiency value and the preservation threshold of the bins in the smart refrigerator specifically includes: Obtain the real-time temperature and corresponding preservation threshold of each bin within a local area; The temperature deviation of each bin is calculated using real-time temperatures and corresponding preservation thresholds. The bins with temperature deviations greater than the deviation threshold of the intelligent refrigerator are initially marked as candidate bins; Based on the power deficiency value, multiple power deficiency bins are selected from all candidate bins in the local area.

[0009] In some embodiments, determining the compensation value for the cooling power in each power-deficient bin that experiences temperature fluctuations due to frequent opening of the cabinet door specifically includes: For each power-deficient bin, obtain the thermal capacity coefficient and temperature deviation of the goods inside the power-deficient bin, and obtain the target recovery time of the power-deficient bin; Based on the target recovery time, the heat capacity coefficient, and the temperature deviation, calculate the theoretical compensation power required to restore the temperature of the power-deficient bin to the preservation threshold. The theoretical compensation power is compared with the available remaining power in the intelligent refrigerator to obtain the compensation value of the cooling power in the power-deficient bins, and then the compensation value of the cooling power in each power-deficient bin caused by the frequent opening of the cabinet door is obtained.

[0010] In some embodiments, load compensation of the local refrigeration power in the intelligent refrigerator based on various compensation values ​​specifically includes: Each compensation value is used to send a power adjustment command to the local refrigeration unit serving the local area where each power-deficient bin is located. The local refrigeration unit increases the refrigeration power output based on the received actual compensation value, thereby completing the load compensation of the local refrigeration power in the intelligent refrigerator.

[0011] In some embodiments, the hopper is an insulated box based on integral polyurethane foam.

[0012] In a second aspect, the present invention provides an intelligent preservation cabinet for executing an intelligent preservation control method, comprising a preservation control unit, the preservation control unit comprising: The data acquisition module is used to collect the retrieval operation records of each material box in the smart refrigerator within a specified time period; The processing module is used to identify high-frequency access events of the smart refrigerator within a specified time period from various retrieval operation records. When a high-frequency access event is identified, the module obtains the overall operating power of the smart refrigerator. Based on the high-frequency access event and the overall operating power, the module determines the missing operating power in the local area of ​​the high-frequency access event and obtains the missing power value of the local area. The processing module is also used to filter out multiple power-deficient bins from all bins in a local area by using the power deficiency value and the preservation threshold of the bins in the smart refrigerator, and then determine the compensation value of the cooling power of each power-deficient bin that causes temperature fluctuations due to frequent opening of the cabinet door. The execution module is used to perform load compensation on the local refrigeration power in the smart refrigerator based on various compensation values, so as to perform targeted refrigeration on each power-deficient bin while keeping the overall machine's operating power below the rated power, ensuring that the temperature quickly recovers to the preservation threshold range, and generating a load status report for the smart refrigerator.

[0013] Thirdly, the present invention provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the above-described intelligent preservation control method.

[0014] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described intelligent preservation control method.

[0015] The technical solutions provided by the embodiments disclosed in this invention have the following beneficial effects: This invention provides an intelligent refrigerated display case and its intelligent preservation control method. The method involves collecting retrieval operation records of each compartment within the intelligent refrigerated display case over a specified time period. High-frequency access events within the specified time period are identified from these retrieval operation records. Upon identification of a high-frequency access event, the overall operating power of the intelligent refrigerated display case is obtained. Based on the high-frequency access event and the overall operating power, a power deficiency determination is made for the operating power in a local area of ​​the high-frequency access event, resulting in a power deficiency value for that local area. Using the power deficiency value and the preservation threshold of the compartments in the intelligent refrigerated display case, multiple compartments with power deficiency are selected from all compartments in the local area. The compensation value for the cooling power in each compartment with power deficiency due to temperature fluctuations caused by frequent door openings is then determined. Based on these compensation values, load compensation is performed on the local cooling power in the intelligent refrigerated display case to ensure that the overall operating power does not exceed the rated power, thereby enabling targeted cooling of each compartment with power deficiency and ensuring that the temperature quickly recovers to the preservation threshold range. A load status report for the intelligent refrigerated display case is then generated.

[0016] Therefore, this invention compensates for the localized refrigeration power in the intelligent refrigerator based on various compensation values. This ensures that, while maintaining the overall operating power within the rated power, targeted cooling is applied to each power-deficient bin, guaranteeing rapid temperature recovery to the preservation threshold range and generating a load status report for the intelligent refrigerator. First, determining the power deficiency value yields a global-level safety compensation budget, thus defining dynamic boundaries for precise local intervention and ensuring overall system stability. Determining the power deficiency value establishes a dynamic allocation mechanism for the power budget. By acquiring the overall operating power in real-time and comparing it with the rated power, the real-time power margin is calculated. This power margin represents the maximum safe power allowance the system can currently use to cope with thermal load shocks caused by high-frequency access events. The determination of this value transforms the abstract local thermal disturbance into a specific and globally constrained power compensation upper limit. This ensures that all subsequent compensation operations are confined within a safe power envelope, guaranteeing stable operation of the entire unit during local power enhancement and preventing malfunctions due to overload. This lays the foundation for on-demand allocation under safe conditions. Then, determining the refrigeration power compensation value yields a power prescription for specific overheated bins, enabling efficient and precise delivery of limited refrigeration resources and optimizing local temperature recovery efficiency. The process of determining the refrigeration power compensation value achieves component-level refrigeration power calibration and delivery. The global power budget is transformed into quantified power commands for each overheated bin. Calibration allows for the priority allocation of the limited power budget to the local points with the highest thermal runaway risk and greatest compensation benefit. This maximizes the utilization efficiency of refrigeration resources under power constraints, directly improving the temperature recovery speed and stability of local areas and effectively suppressing temperature fluctuations within the cabinet caused by frequent access. In summary, based on the above scheme, on-demand allocation of local refrigeration power under overall unit power constraints can be achieved, thereby improving the temperature stability of the intelligent refrigerator when dealing with high-frequency access disturbances. Attached Figure Description

[0017] Figure 1 This is an exemplary flowchart of an intelligent preservation control method according to some embodiments of the present invention; Figure 2 This is a diagram illustrating how to retrieve goods from a refrigerated display case, as shown in some embodiments of the present invention. Figure 3 This is an exemplary flowchart illustrating the determination of compensation values ​​for cooling power according to some embodiments of the present invention; Figure 4 This is a schematic diagram of the structure of a food preservation control unit according to some embodiments of the present invention; Figure 5 This is a schematic diagram of the structure of a computer device for implementing an intelligent preservation control method according to some embodiments of the present invention. Detailed Implementation

[0018] To better understand the technical solution of the present invention, the technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] refer to Figure 1 The figure is an exemplary flowchart of an intelligent preservation control method according to some embodiments of the present invention, which mainly includes the following steps: In step 101, the retrieval operation records of each material box in the smart refrigerator are collected within a specified time period.

[0020] It should be noted that, in this invention, the retrieval operation record is log data used to record the time, location, and operation type of each material box being retrieved from the intelligent refrigeration cabinet; the specified time period is a configurable duration parameter used to define the analysis range of high-frequency access events; the material box is an insulated box based on polyurethane integral foaming.

[0021] In practice, the control console of the smart refrigerator continuously listens to and records the storage and retrieval operations of each bin reported by the conveying and picking system. The operation record includes the bin number, operation type, and precise timestamp; thus, the retrieval operation record of each bin in the smart refrigerator within a specified time period can be obtained.

[0022] In some embodiments, reference Figure 2 The diagram illustrates the retrieval process for the refrigerated locker. Customers select their desired item on the locker, enter a retrieval code, or scan a retrieval QR code for local verification. If verification fails, the locker displays relevant information. Upon successful verification, the locker obtains the retrieval information, intelligently transfers the corresponding item to the retrieval slot, and then automatically opens the door. After the customer retrieves the item, the locker automatically closes. The locker then uploads the customer's retrieval confirmation information, prints a receipt, and the retrieval process concludes.

[0023] In step 102, high-frequency access events of the smart refrigerator within a specified time period are identified from each pickup operation record. When a high-frequency access event is identified, the overall operating power of the smart refrigerator is obtained. Based on the high-frequency access event and the overall operating power, the operating power in the local area of ​​the high-frequency access event is determined to be missing, and the power missing value of the local area is obtained.

[0024] In some embodiments, identifying high-frequency access events of the smart refrigerator within a specified time period from various retrieval operation records can be achieved using the following steps: The number of times the material bins of the smart refrigerator were stored and retrieved at each pickup port within a specified time period is counted in each pickup operation record. Calculate the time interval between two consecutive access operations; High-frequency access events are selected from the access times of each picking port based on the total number of bin access operations and the time intervals.

[0025] It should be noted that, in this invention, high-frequency access events are used to identify the state judgment conclusion of each retrieval port under abnormally frequent access load; the retrieval port is the physical interface of the intelligent refrigerator for users to retrieve the bins, and has a unique identifier in the intelligent refrigerator; the number of bin access operations is a cumulative value used to quantify the frequency of access operations occurring at a specified retrieval port within a specified time period; the time interval between two adjacent access operations is a duration value used to measure the compactness between two consecutive operations at the same retrieval port.

[0026] In practice, firstly, the control panel of the smart refrigerator filters all records that occurred within a specified time period from the stored retrieval operation records and groups them according to the retrieval port identifier. For each retrieval port, the number of records for that port is counted as the number of bin access operations within the specified time period. Then, for the operation records of the same retrieval port, they are sorted by timestamp, and the difference between the timestamp of each record and the previous record is calculated. This difference is used as the time interval between two adjacent access operations. Finally, a frequency threshold and an interval threshold are preset for the number of bin access operations and the time interval between two adjacent access operations, respectively. For any retrieval port, if the number of bin access operations reaches or exceeds the frequency threshold, and at least one of its time intervals is less than the interval threshold, then the access status of that retrieval port within the specified time period is determined to be a high-frequency access event.

[0027] In some embodiments, when a high-frequency access event is detected, the overall operating power of the smart refrigerator can be obtained in the following way: when the logic judgment unit of the control console identifies a high-frequency access event according to preset rules, it immediately sends an instruction to the power monitoring unit; the power monitoring unit collects the total current and total voltage signals flowing through the main power supply circuit of the smart refrigerator in real time through its embedded power sensor, and performs calculations according to the power calculation formula, that is, instantaneous power equals the product of instantaneous voltage and instantaneous current; the real-time value obtained from the calculation is the current overall operating power of the smart refrigerator.

[0028] In some embodiments, determining the missing power in a local region of a high-frequency access event based on the high-frequency access event and the overall system operating power, and obtaining the power missing value in the local region, can be achieved through the following steps: Obtain the current operating power and rated power of the entire machine; The power margin available for compensation is calculated based on the current overall operating power and the rated power. The total power loss in the local area is calculated based on the number of bins affected by high-frequency access events and the compensation power required for the temperature rise caused by the average single door opening. The power deficit value of a local area is determined based on the total power deficit and the power margin.

[0029] It should be noted that, in this invention, the power deficit value is the total amount of actual refrigeration power compensation that can be performed under the power margin limitation; the rated power is a fixed equipment parameter used to define the maximum allowable total power for the long-term safe and stable operation of the intelligent refrigerator; the power margin is the remaining power that can still be safely allocated to the local refrigeration compensation function; the number of bins affected by high-frequency access events is the total number of bins whose temperature is affected by door opening during high-frequency access events; the compensation power required for the average temperature rise caused by a single door opening is a reference value used to represent the refrigeration power required to offset the average unit temperature rise of a specified type of bin caused by a single door opening and heat exchange; the total power deficit in a local area is the total refrigeration power required to restore the temperature of all bins affected by high-frequency access events to normal.

[0030] In practice, firstly, the instantaneous value of the current overall machine operating power is read from the power monitoring unit, and the fixed value of the rated power is retrieved from the equipment's preset parameter table. Secondly, the control console performs arithmetic operations, subtracting the current overall machine operating power from the rated power; the result is the power margin available for compensation. Then, the control console combines high-frequency access event information to count the number of affected bins, and multiplies this number of bins by the compensation power required for the average temperature rise caused by a single door opening, pre-calibrated using historical experimental data; the product is calculated as the total power loss in the local area. Finally, the control console compares the total power loss with the power margin, selecting the smaller value as the power loss value for the local area.

[0031] In step 103, multiple power-deficient bins are selected from all bins in the local area by using the power deficiency value and the preservation threshold of the bins in the smart refrigerator, and then the compensation value of the refrigeration power for temperature fluctuations caused by frequent opening of the cabinet door in each power-deficient bin is determined.

[0032] In some embodiments, the following steps can be used to filter out multiple power-deficient bins from all bins in a local area based on the power deficiency value and the preservation threshold of the bins in the smart refrigerator: Obtain the real-time temperature and corresponding preservation threshold of each bin within a local area; The temperature deviation of each bin is calculated using real-time temperatures and corresponding preservation thresholds. The bins with temperature deviations greater than the deviation threshold of the intelligent refrigerator are initially marked as candidate bins; Based on the power deficiency value, multiple power deficiency bins are selected from all candidate bins in the local area.

[0033] It should be noted that, in this invention, the power-deficient bins are a set of bins that require and are capable of receiving directional cooling compensation; the preservation threshold is a critical temperature value used to determine whether a specified type of goods is in a safe preservation state in the stored bins; the temperature deviation is a numerical value that quantifies the degree to which the real-time temperature of the bin deviates from its ideal preservation state; the deviation threshold is a temperature deviation threshold value used to determine whether the temperature fluctuation of the bin has exceeded the normal range; and the candidate bins are a set of selected bins that require power compensation.

[0034] In practice, firstly, the real-time temperature of each bin within a local area is read from the temperature monitoring module, and the preservation threshold corresponding to the goods stored in each bin is retrieved based on the bin-goods type mapping relationship stored in the goods information table. Then, a calculation is performed for each bin: its real-time temperature is subtracted from the corresponding preservation threshold, and the difference is the temperature deviation of that bin. Next, the temperature deviation of each bin is compared with a preset, globally unified deviation threshold, and all bins with temperature deviations greater than this threshold are initially marked as candidate bins. Finally, based on the power budget represented by the power deficit value, the candidate bins are sorted in descending order of temperature deviation, and candidate bins are selected sequentially from top to bottom until the sum of the basic compensation power required by the selected bins is close to but does not exceed the power deficit value. The finally selected bins are then identified as power deficit bins, and this list of power deficit bins serves as the target object for subsequent calculations of precise compensation values.

[0035] In some embodiments, the compensation value for the cooling power of each power-deficient bin caused by temperature fluctuations due to frequent opening of the cabinet door is determined, with reference to... Figure 3 As shown in the figure, this is a schematic flowchart of determining the compensation value of cooling power in some embodiments of the present invention. In this embodiment, the determination of the compensation value of cooling power can be achieved by the following steps: In step 1031, for each power-deficient bin, the thermal capacity coefficient and temperature deviation of the goods in the power-deficient bin are obtained, and the target recovery time of the power-deficient bin is obtained. In step 1032, the theoretical compensation power required to restore the temperature of the power-deficient bin to the preservation threshold is calculated based on the target recovery time, the heat capacity coefficient, and the temperature deviation. In step 1033, the theoretical compensation power is compared with the remaining power that can be allocated in the intelligent refrigerator to obtain the compensation value of the cooling power in the power-deficient bins, and then the compensation value of the cooling power in each power-deficient bin caused by the frequent opening of the cabinet door is obtained.

[0036] It should be noted that, in this invention, the compensation value of refrigeration power is used to specify the amount of refrigeration power adjustment actually applied to a single power-deficient bin under the power constraints of the intelligent refrigeration cabinet; the heat capacity coefficient is a physical characteristic parameter used to quantify the amount of heat absorbed or released by a unit mass of specified goods to raise or lower the temperature by a unit; the target recovery time is used to specify the maximum allowable time limit for a single power-deficient bin to recover from its current temperature to its preservation threshold; the theoretical compensation power is used to represent the calculated value of refrigeration power required to eliminate the bin temperature deviation within the target recovery time under ideal conditions; and the allocable remaining power represents the remaining compensation power currently available in the intelligent refrigeration cabinet.

[0037] In practice, firstly, for each power-deficient bin, the control panel queries the cargo attribute database for the heat capacity coefficient corresponding to the type of cargo stored in the power-deficient bin and reads the temperature deviation of that bin. Simultaneously, it calls the target recovery time parameter preset by the smart refrigerator. Then, based on thermodynamic principles, it calculates the total heat to be removed by multiplying the heat capacity coefficient of the cargo in the power-deficient bin by the temperature deviation. This total heat is then divided by the target recovery time, and the result is the theoretical compensation power required to restore the temperature of the power-deficient bin to the preservation threshold. Finally, the theoretical compensation power is compared with the currently allocable remaining power in the smart refrigerator, and the smaller value is taken as the cooling power compensation value for that power-deficient bin. The smart refrigerator iterates through each power-deficient bin according to this logic, updating the allocable remaining power after each allocation. Through this method, the compensation value for the cooling power in each power-deficient bin caused by frequent door openings due to temperature fluctuations can be obtained.

[0038] In step 104, load compensation is performed on the local refrigeration power in the smart refrigerator based on each compensation value, so as to perform targeted refrigeration on each power-deficient bin while maintaining the overall machine operating power not exceeding the rated power, ensuring that the temperature quickly recovers to the preservation threshold range, and generating a load status report of the smart refrigerator.

[0039] In some embodiments, load compensation of the local refrigeration power in the intelligent refrigerator based on various compensation values ​​can be achieved by the following steps: Each compensation value is used to send a power adjustment command to the local refrigeration unit serving the local area where each power-deficient bin is located. The local refrigeration unit increases the refrigeration power output based on the received actual compensation value, thereby completing the load compensation of the local refrigeration power in the intelligent refrigerator.

[0040] It should be noted that, in this invention, the local refrigeration unit is an execution component used to independently control the refrigeration of a designated physical area within the intelligent refrigerator; the power adjustment command is a control signal used to carry the identifier of the target local refrigeration unit and the required increase in refrigeration power; and the actual compensation value is a parameter used to indicate the specific amount of refrigeration power output that the designated local refrigeration unit needs to increase.

[0041] In practice, the decision-making unit of the control console first generates power adjustment instructions containing the address of the target local refrigeration unit and the specific power increase value based on the determined compensation values ​​and their corresponding power-deficient bins. These instructions are then sent to the local refrigeration units serving the local areas where the power-deficient bins are located via the internal communication bus. After receiving the power adjustment instructions, each local refrigeration unit parses the actual compensation value and adjusts the working state of its internal power driver (e.g., variable frequency compressor, electronic expansion valve, or semiconductor current controller) accordingly to increase its refrigeration power output. This achieves the targeted allocation of refrigeration resources to the most urgently needed areas, thereby completing the load compensation of local refrigeration power in the intelligent refrigerator and guiding the temperature state of the power-deficient bins back to their preservation threshold.

[0042] It should be noted that in this invention, during the entire local load compensation process, the control console continuously monitors the overall operating power of the machine through the power monitoring unit to ensure that it never exceeds the safe upper limit of the rated power. Under this constraint, the intelligent refrigerator drives the corresponding local cooling unit to implement targeted cooling for each power-deficient bin through the compensation value determined in the previous steps. By precisely increasing the cold output of the local area, the removal of heat is accelerated, thereby ensuring that the temperature of these bins can drop rapidly and return to their respective preservation threshold range. At the same time, the control console records the event identifier of this event, the involved retrieval port, the list of power-deficient bins to be compensated, the total compensation power allocated, the peak power of the whole machine, and the final cooling effect. This information is then integrated to generate a load status report for the intelligent refrigerator. This report serves as a process record and performance evaluation certificate for the completion of this intelligent control cycle. The load status report is a formatted document used to record key operating parameters, compensation actions, and a summary of system status during the processing of this high-frequency access event.

[0043] Furthermore, in another aspect of the present invention, in some embodiments, the present invention provides an intelligent refrigerator, which includes a preservation control unit, as referenced. Figure 4 The figure is a schematic diagram of the structure of a preservation control unit according to some embodiments of the present invention. The preservation control unit includes: a data acquisition module 201, a processing module 202, and an execution module 203, which are described below: The data acquisition module 201 in this invention is mainly used to collect the data acquisition operation records of each material box in the intelligent refrigeration cabinet within a specified time period. Processing module 202, in this invention, is used to identify high-frequency access events of the smart refrigerator within a specified time period from various retrieval operation records. When a high-frequency access event is identified, the overall operating power of the smart refrigerator is obtained. Based on the high-frequency access event and the overall operating power, the operating power in a local area of ​​the high-frequency access event is determined to be missing, and the power missing value of the local area is obtained. It should be noted that the processing module 202 is also used to filter out multiple power-deficient bins from all bins in a local area by using the power deficiency value and the preservation threshold of the bins in the smart refrigerator, and then determine the compensation value of the refrigeration power of each power-deficient bin that causes temperature fluctuations due to frequent opening of the cabinet door. The execution module 203 in this invention is mainly used to perform load compensation on the local refrigeration power in the intelligent refrigerator based on various compensation values, so as to perform targeted refrigeration on each power-deficient bin while maintaining the overall machine working power not exceeding the rated power, ensuring that the temperature quickly recovers to the preservation threshold range, and generating a load status report of the intelligent refrigerator.

[0044] The foregoing has detailed examples of the intelligent refrigeration cabinet and its intelligent preservation control method provided by embodiments of the present invention. It is understood that, in order to achieve the above functions, the corresponding device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, the present invention can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0045] In some embodiments, the present invention also provides a computer device, the computer device including a memory and a processor, the memory for storing a computer program, and the processor for calling and running the computer program from the memory, so that the computer device performs the above-described intelligent preservation control method.

[0046] In some embodiments, reference Figure 5 The dashed lines in the figure indicate that the unit or module is optional. This figure is a structural schematic diagram of a computer device for implementing an intelligent preservation control method according to an embodiment of the present invention. The intelligent preservation control method described in the above embodiments can... Figure 5The computer device shown is used to implement this, and the computer device includes at least one processor 301, a memory 302 and at least one communication unit 305. The computer device may be a terminal device, a server or a chip.

[0047] Processor 301 can be a general-purpose processor or a special-purpose processor. For example, processor 301 can be a central processing unit (CPU), which can be used to control computer devices, execute software programs, and process data from software programs. The computer device may also include a communication unit 305 for inputting (receiving) and outputting (transmitting) signals.

[0048] For example, the computer device may be a chip, and the communication unit 305 may be the input and / or output circuit of the chip, or the communication unit 305 may be the communication interface of the chip, which may be a component of a terminal device, network device or other device.

[0049] For example, the computer device may be a terminal device or a server, and the communication unit 305 may be a transceiver of the terminal device or the server, or the communication unit 305 may be a transceiver circuit of the terminal device or the server.

[0050] The computer device may include one or more memories 302 storing a program 304. The program 304 can be executed by a processor 301 to generate instructions 303, causing the processor 301 to execute the method described in the above method embodiments according to the instructions 303. Optionally, the memory 302 may also store data (such as a target audit model). Optionally, the processor 301 may also read data stored in the memory 302, which may be stored at the same storage address as the program 304, or the data may be stored at a different storage address than the program 304.

[0051] The processor 301 and memory 302 can be configured separately or integrated together, for example, integrated on the system on chip (SOC) of the terminal device.

[0052] It should be understood that each step of the above method embodiment can be completed by hardware logic circuits or software instructions in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0053] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0054] For example, in some embodiments, the present invention also provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the above-described intelligent preservation control method.

[0055] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0056] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An intelligent freshness control method, characterized by, The method comprises the following steps: Collecting the taking operation records of each bin in the intelligent fresh-keeping cabinet within a specified time period; Identifying high-frequency access events of the intelligent fresh-keeping cabinet within the specified time period from each taking operation record, and obtaining the whole-machine working power of the intelligent fresh-keeping cabinet when the high-frequency access events are identified, and performing missing determination on the working power in the local area of the high-frequency access events according to the high-frequency access events and the whole-machine working power to obtain the power missing value of the local area; Filtering a plurality of power missing bins from all bins in the local area through the power missing value and the fresh-keeping threshold of the bins in the intelligent fresh-keeping cabinet, and then determining the compensation value of the refrigeration power in each power missing bin caused by the frequent opening of the cabinet door leading to temperature fluctuation; Performing load compensation on the local refrigeration power in the intelligent fresh-keeping cabinet based on each compensation value to maintain the whole-machine working power within the rated power, and to perform directional refrigeration on each power missing bin to ensure that the temperature is quickly restored to the fresh-keeping threshold range, and to generate a load state report of the intelligent fresh-keeping cabinet.

2. The method of claim 1, wherein, The identifying of the high-frequency access events of the intelligent fresh-keeping cabinet within the specified time period from each taking operation record specifically comprises: Counting the bin access operation times of each taking port of the intelligent fresh-keeping cabinet within the specified time period in each taking operation record; Calculating the time interval of adjacent two access operations; Filtering the high-frequency access events from the access time of each taking port based on all bin access operation times and each time interval.

3. The method of claim 1, wherein, The missing determination on the working power in the local area of the high-frequency access events according to the high-frequency access events and the whole-machine working power to obtain the power missing value of the local area specifically comprises: Obtaining the current whole-machine working power and the rated power; Calculating the power margin available for compensation through the current whole-machine working power and the rated power; Calculating the total power missing of the local area based on the number of bins affected by the high-frequency access events and the compensation power required for the temperature rise caused by the average single door opening; Determining the power missing value of the local area according to the total power missing and the power margin.

4. The method of claim 1, wherein, The filtering of a plurality of power missing bins from all bins in the local area through the power missing value and the fresh-keeping threshold of the bins in the intelligent fresh-keeping cabinet specifically comprises: Obtaining the real-time temperature and the corresponding fresh-keeping threshold of each bin in the local area; Calculating the temperature deviation of each bin through each real-time temperature and the corresponding fresh-keeping threshold; Preliminarily marking the bins with the temperature deviation greater than the deviation threshold of the intelligent fresh-keeping cabinet as candidate bins; Filtering a plurality of power missing bins from all candidate bins in the local area according to the power missing value.

5. The method of claim 1, wherein, The determination of the compensation value of the refrigeration power in each power missing bin caused by the frequent opening of the cabinet door leading to temperature fluctuation specifically comprises: For each power missing bin, obtaining the heat capacity coefficient and the temperature deviation of the goods in the power missing bin, and obtaining the target recovery time of the power missing bin; According to the target recovery time, the heat capacity coefficient and the temperature deviation, calculating the theoretical compensation power required for restoring the temperature of the power missing bin to the fresh-keeping threshold. The theoretical compensation power is compared with the remaining power distributable in the intelligent fresh-keeping cabinet to obtain a compensation value of the refrigeration power in the power-lacking bin, and then a compensation value of the refrigeration power in each power-lacking bin caused by temperature fluctuation due to frequent opening of the cabinet door is obtained.

6. The method of claim 1, wherein, The load compensation of the local refrigeration power in the intelligent fresh-keeping cabinet based on the compensation values specifically includes: sending a power adjustment instruction to a local refrigeration unit serving a local area where each power-lacking bin is located by using each compensation value; the local refrigeration unit improves the refrigeration power output according to the received actual compensation value, thereby completing the load compensation of the local refrigeration power in the intelligent fresh-keeping cabinet.

7. The method of claim 1, wherein, The bin is a polyurethane integral foaming heat preservation cabinet.

8. An intelligent fresh-keeping cabinet for performing the intelligent fresh-keeping control method according to any one of claims 1 to 7, the intelligent fresh-keeping cabinet comprising a fresh-keeping control unit, characterized in that, The fresh-keeping control unit includes: a collection module configured to collect a taking operation record of each bin in the intelligent fresh-keeping cabinet within a specified time period; a processing module configured to identify a high-frequency access event of the intelligent fresh-keeping cabinet within the specified time period from each taking operation record, obtain a whole-machine working power of the intelligent fresh-keeping cabinet when the high-frequency access event is identified, determine a power lack value of a local area of the high-frequency access event according to the high-frequency access event and the working power of the local area of the high-frequency access event, and obtain a power-lacking bin from all bins in the local area by using the power lack value and a fresh-keeping threshold of the bin in the intelligent fresh-keeping cabinet, thereby determining a compensation value of the refrigeration power in each power-lacking bin caused by temperature fluctuation due to frequent opening of the cabinet door; the processing module is further configured to perform load compensation of the local refrigeration power in the intelligent fresh-keeping cabinet based on each compensation value, to perform directional refrigeration on each power-lacking bin while maintaining the whole-machine working power not exceeding the rated power, to ensure that the temperature is quickly restored to the fresh-keeping threshold range, and to generate a load state report of the intelligent fresh-keeping cabinet. The computer device includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the intelligent fresh-keeping control method according to any one of claims 1 to 7.

9. A computer device, comprising: The computer program is executed by the processor to implement the intelligent fresh-keeping control method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. ​

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