Dynamic regulation and control method and system based on refrigerator power-off recovery

Abstract

The invention is suitable for the technical field of refrigerators, and provides a dynamic regulation and control method based on refrigerator power-off recovery, which comprises the following steps: generating a mapping retrieval table of different food materials based on a food material information database; when it is monitored that the refrigerator is powered off, food material attribute information and temperature and humidity data of all temperature areas in the refrigerator are associated and stored, meanwhile, a control circuit of the refrigerator is switched to an energy storage equipment power supply mode, and refrigeration time parameters of all the temperature areas are obtained through calculation; according to the electric quantity parameter of the energy storage equipment and the refrigeration time parameter of each temperature zone, a dynamic planning method is adopted to obtain a refrigeration duration combination of each temperature zone; after the power supply of the refrigerator is recovered, determining temperature zone regulation and control parameters of each temperature zone according to the actual temperature and humidity data of each temperature zone and the food material information; according to the method, under the condition that the refrigerator is powered off, refrigeration adjustment is carried out through the energy storage equipment according to the actual change condition of the food materials during the power-off period, and the food materials are effectively prevented from going bad rapidly due to power-off.

Description

Technical Field

[0001] The present application belongs to the technical field of refrigerators, and in particular, relates to a dynamic control method and system based on refrigerator power failure recovery. Background Art

[0002] As an important household appliance to keep food fresh and prevent spoilage, the long-term operation of the refrigerator is the key to ensure the normal operation of each compartment and the safe storage of food. Once the refrigerator loses power, the temperature of each temperature zone will rise rapidly, the shelf life of the food will be greatly shortened, and the food may even be immediately exposed to the risk of spoilage. In order to reduce the losses caused by power outages in refrigerators, existing technologies usually take some measures, such as setting up backup power supplies and providing power outage warnings.

[0003] However, since the types, quantities and storage conditions of ingredients in different temperature zones in the refrigerator are different, there are significant differences in temperature and humidity changes. The above measures can only alleviate the problem to a certain extent. In addition, after the power supply is restored, the control circuit can only restore refrigeration according to the preset program, and cannot make intelligent adjustments based on the actual changes in the ingredients during the power outage. As a result, when facing unexpected power outages, the refrigerator still has certain deficiencies in the preservation and storage of ingredients. Summary of the invention

[0004] The embodiments of the present application provide a dynamic control method and system based on refrigerator power outage recovery. When the refrigerator is powered off, the energy storage device can be used to adjust the refrigeration according to the actual changes in the food during the power outage, thereby effectively preventing the food from quickly deteriorating due to the power outage.

[0005] In a first aspect, an embodiment of the present application provides a dynamic control method based on refrigerator power failure recovery, comprising:

[0006] Based on the food information database, a mapping retrieval table of different food ingredients is generated;

[0007] When it is detected that the refrigerator is powered off, the food attribute information and temperature and humidity data of each temperature zone in the refrigerator are associated and stored, and at the same time, the control circuit of the refrigerator is switched to an energy storage device power supply mode, wherein the energy storage device power supply mode is to power the refrigerator through the energy storage device;

[0008] Calculate and obtain the refrigeration time parameters of each temperature zone according to the food attribute information and the temperature and humidity data;

[0009] According to the power parameters of the energy storage device and the cooling time parameters of each temperature zone, a dynamic programming method is used to obtain a cooling time combination for each temperature zone;

[0010] After the refrigerator is powered on again, the temperature zone control parameters of each temperature zone are determined according to the actual temperature and humidity data of each temperature zone and the food information, wherein the temperature zone control parameters include a temperature control value and a humidity control value;

[0011] According to the temperature zone control parameters, the operation strategy of the refrigeration system is dynamically adjusted.

[0012] Furthermore, the mapping retrieval table of different ingredients is generated based on the ingredient information database, including:

[0013] Obtaining food information of each food through a food information database, and mapping a unique food code for each food, wherein the food information includes an optimal fresh-keeping humidity and an optimal fresh-keeping temperature;

[0014] Using the food code as a key and the food information as a value, a mapping retrieval table of different food ingredients is constructed;

[0015] For unknown ingredients, a similarity matching algorithm is used to match initial reference ingredients from the ingredient information database, the ingredient information of the reference ingredients is used as the ingredient information of the unknown ingredients, and the reference ingredients are added to the mapping retrieval table.

[0016] Furthermore, the associating and storing the food information and temperature and humidity data of each temperature zone in the refrigerator includes:

[0017] An independent sensor unit is installed in each temperature zone to collect temperature and humidity data of each temperature zone in real time;

[0018] The food images of each temperature zone are collected by a built-in camera of the refrigerator to obtain original food image data, and the original image data are recognized by image processing technology to obtain a list of food types in each temperature zone;

[0019] Mapping the ingredients in the ingredient type list to corresponding ingredient codes through the mapping search table to obtain ingredient attribute information of each temperature zone, wherein the ingredient attribute information includes ingredient type and ingredient quantity;

[0020] A unique temperature zone ID is mapped to each temperature zone, and the temperature and humidity data and food attribute information corresponding to the temperature zone are associated with the temperature zone ID and stored through a non-volatile memory.

[0021] Furthermore, the step of calculating the refrigeration time parameters of each temperature zone according to the food attribute information and the temperature and humidity data includes:

[0022] Real-time acquisition of temperature and humidity data in each temperature zone after the refrigerator is powered off, and evaluation of the rate of decline in the freshness of food in each temperature zone based on the preset correspondence table between temperature and humidity and food preservation time;

[0023] Based on the decline rate, the spoilage rate parameters of various types of food in the temperature zone are calculated;

[0024] Based on the preset temperature-corruption rate model, the initial corruption rate of the food in each temperature zone is obtained;

[0025] Based on the initial corruption rate and the corruption rate parameter, obtaining an estimated corruption rate in each temperature zone;

[0026] Based on the estimated spoilage rate, the estimated spoilage time of the food in each temperature zone is calculated, and the estimated spoilage time is the estimated time difference between the food spoilage time and the threshold timestamp when the refrigerator is powered off. The threshold timestamp is the time when the temperature and humidity data in the temperature zone is greater than the preset temperature and humidity threshold of the temperature zone after the refrigerator is powered off;

[0027] Based on the estimated corruption duration, the refrigeration time parameters of each temperature zone are obtained.

[0028] Furthermore, the real-time acquisition of temperature and humidity data in each temperature zone after the refrigerator is powered off, and the evaluation of the rate of decrease of the freshness of the food in each temperature zone according to the preset correspondence table between temperature and humidity and food preservation time, include:

[0029] Compare the temperature and humidity data in each temperature zone after the refrigerator is powered off with the preset temperature and humidity thresholds of the temperature zone. If the temperature data in the temperature zone is greater than the preset temperature threshold of the temperature zone or the humidity data is greater than the preset temperature threshold of the temperature zone, record the current threshold timestamp;

[0030] Obtain a power-off timestamp when the refrigerator is powered off, and obtain the optimal fresh-keeping time of food after the refrigerator is powered off through the power-off timestamp and the threshold timestamp;

[0031] Through the preset correspondence table between temperature and humidity and food preservation time, the preservation time threshold of each food under the best preservation conditions is obtained;

[0032] Obtaining a reduction in the fresh-keeping time by using the optimal fresh-keeping time and the fresh-keeping time threshold;

[0033] Based on the reduction in the freshness preservation time and the optimal freshness preservation time, obtaining a rate of decrease in the freshness of each food ingredient;

[0034] For each temperature zone, the average value of the rate of decrease in the freshness of all ingredients is calculated to obtain the rate of decrease in the freshness of the ingredients in the temperature zone.

[0035] Furthermore, the refrigeration time combination of each temperature zone is obtained by adopting a dynamic programming method according to the power parameter of the energy storage device and the refrigeration time parameter of each temperature zone, including:

[0036] Based on the power parameters of the energy storage device and the cooling time parameters of each temperature zone, a state transfer equation is established, and the state transfer equation is as follows:

[0037] dp[t+Δt][e′]=max(dp[t][e]+cooling benefit-electricity consumption cost)

[0038] Wherein, dp[t][e] represents the optimal solution of the cooling time combination of each temperature zone when the preset time is t and the power parameter is e, and e′ is the new power parameter calculated according to the power update rule.

[0039] Furthermore, the new power parameters calculated according to the power update rule include:

[0040] In the power supply mode of the energy storage device, calculating the power reduction value of the energy storage device in each time step to obtain a new power parameter;

[0041] The calculation formula of the new power parameter is as follows:

[0042] e′=E0-P cool,i ×Δt / η

[0043] Among them, Δt represents the time step, E0 represents the power of the energy storage device when it starts to supply power, P cool,i represents the power consumption when cooling the i-th temperature zone, and η represents the energy conversion efficiency when the energy storage device supplies power to the refrigerator;

[0044] The calculation formula of the power of the energy storage device when it starts to supply power is as follows:

[0045] E0=E max -λ×e×Δt

[0046] Where λ represents the power attenuation rate of the energy storage device in an idle state, e represents the power of the energy storage device at a preset time, and E max The amount of energy when the energy storage device is fully charged.

[0047] Furthermore, after the refrigerator is restored to power, the temperature zone control parameters of each temperature zone are determined according to the actual temperature and humidity data of each temperature zone and the food information, and the temperature zone control parameters include a temperature control value and a humidity control value, including:

[0048] For each temperature zone, obtain food information of each type of food in the temperature zone, and calculate and obtain the optimal temperature range and optimal humidity range corresponding to the temperature zone;

[0049] Selecting the middle value of the optimal temperature range as the set temperature of the temperature zone, and selecting the middle value of the optimal humidity range as the set humidity of the temperature zone;

[0050] The set temperature is compared with the actual temperature data of the temperature zone to obtain a temperature control value, and the set humidity is compared with the actual humidity data of the temperature zone to obtain a humidity control value.

[0051] Furthermore, dynamically adjusting the operation strategy of the refrigeration system according to the temperature zone control parameters includes:

[0052] If the temperature control value or the humidity control value is greater than a preset control threshold, a PID control algorithm is used to obtain execution control parameters of the temperature zone, wherein the execution control parameters include cooling power, humidification amount, and dehumidification amount;

[0053] The operation strategy of the refrigeration system in each temperature zone is adjusted by executing the control parameters.

[0054] In a second aspect, the embodiment of the present application provides a dynamic control system based on refrigerator power failure recovery, including:

[0055] The first processing module is used to generate a mapping retrieval table of different ingredients based on the ingredient information database;

[0056] The second processing module is used for associating and storing the food attribute information and the temperature and humidity data of each temperature zone in the refrigerator when it is detected that the refrigerator is powered off, and at the same time switching the control circuit of the refrigerator to the energy storage device power supply mode, wherein the energy storage device power supply mode is to power the refrigerator through the energy storage device;

[0057] The third processing module is used to calculate the refrigeration time parameters of each temperature zone according to the food attribute information and the temperature and humidity data;

[0058] The fourth processing module is used to obtain the cooling time combination of each temperature zone by using a dynamic programming method according to the power parameter of the energy storage device and the cooling time parameter of each temperature zone;

[0059] The fifth processing module is used to determine the temperature zone control parameters of each temperature zone according to the actual temperature and humidity data of each temperature zone and the food information after the refrigerator is restored to power, wherein the temperature zone control parameters include the temperature control value and the humidity control value;

[0060] The sixth processing module is used to dynamically adjust the operation strategy of the refrigeration system according to the temperature zone control parameters.

[0061] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0062] The present invention relates to a dynamic control method based on refrigerator power failure recovery. By constructing a mapping retrieval table for different ingredients, the food information of various ingredients can be systematically managed and stored. Moreover, based on the mapping retrieval table generated by the database, various types of ingredients in the refrigerator can be quickly located and their related storage requirements can be obtained, thereby greatly improving the efficiency and accuracy of food management. When the refrigerator is powered off, the food attribute information and the current temperature and humidity data of each temperature zone in the refrigerator are associated and stored, thereby ensuring that the refrigerator can maintain data integrity and security even in the case of power failure. At the same time, the control circuit of the refrigerator is switched to the energy storage device power supply mode. The formula calculates the refrigeration time parameters required for each temperature zone through food attribute information and temperature and humidity data, and comprehensively considers the power parameters of the energy storage device and applies them to the power supply mode of the energy storage device to power each temperature zone. In the event of a power outage, the energy storage device can be used to maintain the basic operation of the refrigerator, effectively preventing the food from rapidly deteriorating due to power outages. After the refrigerator is restored to power, the temperature zone control parameters of each temperature zone are dynamically determined according to the actual temperature and humidity data of each temperature zone and the food information, so that the refrigerator can quickly return to the optimal operating state before the power outage, ensuring that the refrigerator minimizes energy consumption while keeping the food fresh. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0064] Figure 1 It is a flow chart of a dynamic control method based on refrigerator power failure recovery provided by an embodiment of the present invention;

[0065] Figure 2 It is a structural schematic diagram of a dynamic control system based on refrigerator power failure recovery provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0066] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0067] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0068] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0069] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0070] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0071] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0072] See also Figure 1 As shown, the present invention is a dynamic control method based on refrigerator power failure recovery, comprising the following steps:

[0073] S100, generating a mapping retrieval table of different ingredients based on an ingredient information database;

[0074] In some embodiments, the above step S100 includes:

[0075] Obtaining food information of each food through a food information database, and mapping a unique food code for each food, wherein the food information includes an optimal fresh-keeping humidity and an optimal fresh-keeping temperature;

[0076] Using the food code as a key and the food information as a value, a mapping retrieval table of different food ingredients is constructed;

[0077] For unknown ingredients, a similarity matching algorithm is used to match initial reference ingredients from the ingredient information database, the ingredient information of the reference ingredients is used as the ingredient information of the unknown ingredients, and the reference ingredients are added to the mapping retrieval table.

[0078] In this embodiment, by constructing a food information database, food information of various ingredients is centrally stored and managed, including but not limited to key parameters such as optimal preservation humidity and optimal preservation temperature, thereby improving the efficiency of information retrieval and ensuring the accuracy and consistency of information. At the same time, a unique food code is assigned to each ingredient. Specifically, the food code is used as a unique identifier for the ingredient to simplify the retrieval efficiency in the food information database. In addition, a mapping retrieval table for different ingredients is constructed based on the food code and food information. Through simple key-value pair operations, we can easily add, delete or modify food information without having to perform complicated operations on the entire database.

[0079] In this embodiment, if the food placed in the refrigerator is an unknown food that does not appear in the food information database, a similarity matching algorithm is used to find the reference food that is most similar to the unknown food from the food information database, and use its information as temporary information of the unknown food, enrich and improve the corresponding mapping retrieval table and food information database, and then be able to continuously adapt to new food and changing needs, thereby maintaining its long-term practicality and effectiveness. Specifically, through the built-in camera of the refrigerator, the food image of the unknown food is obtained, the food image is preprocessed, and the unknown food feature information is generated, and the collected unknown food feature information is input into the pre-trained similarity matching model. It can be understood that the above-mentioned similarity matching model is based on a deep learning algorithm, trained on a massive food information database, and generated with a powerful food feature recognition and matching capability. Through the similarity matching model, the similarity scores of the unknown food and each known food in the food information database can be calculated, and sorted according to the scores, and the food with the highest similarity is selected as the reference food.

[0080] In other embodiments, for unknown ingredients, the user can input the ingredient name of the corresponding ingredient through the visual interface, and the ingredient information database assigns an ingredient code to the corresponding ingredient. In an online state, the ingredient information of the corresponding ingredient is obtained from the network according to the ingredient name input by the user, thereby enriching the ingredient information database.

[0081] S200, when it is detected that the refrigerator is powered off, associating and storing the food attribute information and the temperature and humidity data of each temperature zone in the refrigerator, and switching the control circuit of the refrigerator to an energy storage device power supply mode, wherein the energy storage device power supply mode is to power the refrigerator through the energy storage device;

[0082] In this embodiment, when the refrigerator is powered off, the control circuit of the refrigerator is switched to the energy storage device power supply mode, and the refrigeration time parameters required for each temperature zone are calculated through the food attribute information and the temperature and humidity data. The power parameters of the energy storage device are comprehensively considered and applied to the energy storage device power supply mode to power each temperature zone. In the case of a power outage in the refrigerator, the basic operation of the refrigerator can be maintained through the energy storage device, effectively preventing the food from deteriorating rapidly due to power outage.

[0083] In some embodiments, the step S200 includes:

[0084] An independent sensor unit is installed in each temperature zone to collect temperature and humidity data of each temperature zone in real time;

[0085] The food images of each temperature zone are collected by a built-in camera of the refrigerator to obtain original food image data, and the original image data are recognized by image processing technology to obtain a list of food types in each temperature zone;

[0086] Mapping the ingredients in the ingredient type list to corresponding ingredient codes through the mapping search table to obtain ingredient attribute information of each temperature zone, wherein the ingredient attribute information includes ingredient type and ingredient quantity;

[0087] A unique temperature zone ID is mapped to each temperature zone, and the temperature and humidity data and food attribute information corresponding to the temperature zone are associated with the temperature zone ID and stored through a non-volatile memory.

[0088] In this embodiment, by installing an independent sensor unit in each temperature zone, the temperature and humidity data of each temperature zone can be collected and monitored in real time and independently, ensuring the precise control of the internal environment of the refrigerator. The built-in camera of the refrigerator can collect images of food in each temperature zone and recognize these images through image processing technology, thereby automatically generating a list of food types in each temperature zone, thereby simplifying the tedious process of users manually recording ingredients, and improving the accuracy and convenience of food management. Users can check the list of ingredients in the refrigerator at any time through the visual interface, understand the types and quantities of ingredients, and avoid repeated purchases or expired ingredients.

[0089] In this embodiment, the ingredients in the ingredient type list are mapped to corresponding ingredient codes, the ingredient information of each ingredient in the ingredient type list is obtained through a mapping retrieval table, the ingredient code and the ingredient information are regularized, and the ingredient attribute information of each temperature zone is obtained, wherein the ingredient attribute information includes the ingredient type and the ingredient quantity. In addition, a unique temperature zone ID is mapped to each temperature zone, and the temperature and humidity data and the ingredient attribute information of the corresponding temperature zone are associated with the temperature zone ID and stored through a non-volatile memory, thereby ensuring that the refrigerator can maintain data integrity and security even when power is off. When the refrigerator is powered on again, the refrigerator can obtain the temperature and humidity data and ingredient attribute information corresponding to each temperature zone from the non-volatile memory, thereby providing users with continuous and reliable ingredient management services.

[0090] S300, calculating and obtaining the refrigeration time parameters of each temperature zone according to the food attribute information and the temperature and humidity data;

[0091] In some embodiments, the step S300 includes:

[0092] Real-time acquisition of temperature and humidity data in each temperature zone after the refrigerator is powered off, and evaluation of the rate of decline in the freshness of food in each temperature zone based on the preset correspondence table between temperature and humidity and food preservation time;

[0093] Based on the decline rate, the spoilage rate parameters of various types of food in the temperature zone are calculated;

[0094] Based on the preset temperature-corruption rate model, the initial corruption rate of the food in each temperature zone is obtained;

[0095] Based on the initial corruption rate and the corruption rate parameter, obtaining an estimated corruption rate in each temperature zone;

[0096] Based on the estimated spoilage rate, the estimated spoilage time of the food in each temperature zone is calculated, and the estimated spoilage time is the estimated time difference between the food spoilage time and the threshold timestamp when the refrigerator is powered off. The threshold timestamp is the time when the temperature and humidity data in the temperature zone is greater than the preset temperature and humidity threshold of the temperature zone after the refrigerator is powered off;

[0097] Based on the estimated corruption duration, the refrigeration time parameters of each temperature zone are obtained.

[0098] This embodiment can obtain the temperature and humidity data in each temperature zone in real time after the refrigerator is powered off, and based on these data, evaluate the rate of decline in freshness of the food, calculate the spoilage rate parameters, obtain the spoilage time, and finally determine the refrigeration time parameters of each temperature zone, so that the refrigerator switched to the energy storage device power supply mode can cool each temperature zone according to the refrigeration time parameters of each temperature zone, to ensure that food in different temperature zones can be taken into account in the event of a power outage and achieve the best preservation effect.

[0099] Specifically, by comparing the relationship between the temperature and humidity data of each temperature zone after the refrigerator is powered off with the preset temperature and humidity data, combined with the corresponding relationship table between the preset temperature and humidity and the food preservation time, the rate of decrease of the freshness of the food in each temperature zone is obtained, providing a data basis for the subsequent acquisition of the refrigeration time parameters of each temperature zone.

[0100] In this embodiment, the spoilage rate parameters of food ingredients in each temperature zone are related to the decline rate, the characteristics of each food ingredient and the environmental conditions of the temperature zone. Specifically, the spoilage rate parameter = decline rate × food ingredient characteristic factor × environmental condition factor, wherein the food ingredient characteristic factor is a coefficient determined according to the type and characteristics of food ingredients in each temperature zone, and the environmental condition factor is a coefficient determined according to the temperature data and humidity data of each temperature zone, etc., and is used to reflect the influence of environmental conditions on the spoilage rate. It can be understood that the food ingredient characteristic factor is a coefficient derived from experimental data or empirical formulas, and is used to adjust the constant of the spoilage rate to more accurately reflect the spoilage rates of different food ingredients under the same storage conditions. This factor is usually determined by comparing the spoilage rates of different food ingredients under the same conditions. For the environmental condition factor, based on the historical storage condition data and the spoilage rates of the corresponding food ingredients, a relationship model between storage conditions and spoilage rates is established through regression analysis, machine learning and other methods, thereby obtaining the value of the environmental condition factor.

[0101] In this embodiment, a temperature-corruption rate model is constructed based on historical temperature data and food spoilage rates; through the temperature-corruption rate model, the estimated spoilage time of the food is obtained when the real-time temperature and humidity data exceeds the preset temperature zone temperature and humidity thresholds after the refrigerator is powered off, wherein the estimated spoilage time is the time difference between the timestamp when the food is estimated to be spoiled after the refrigerator stops refrigerating and the timestamp when the real-time temperature and humidity data in the temperature zone exceeds the temperature and humidity thresholds in the temperature zone. Specifically, the historical temperature data in the refrigerator and the spoilage rate data of the food in the corresponding time period are obtained to establish a temperature-corruption rate data set, and the temperature-corruption rate data set is preprocessed to eliminate outliers and noise data to obtain a cleaned data set. Based on the cleaned temperature-corruption rate data set, a regression analysis algorithm is used to establish a temperature-corruption rate mathematical model. Through the temperature-corruption rate mathematical model, the spoilage rate of food in each temperature zone can be obtained. When the refrigerator is powered off, the temperature data of each temperature zone in the refrigerator is obtained in real time to determine whether the real-time temperature data exceeds the preset temperature threshold of the temperature zone. If exceeded, the food spoilage prediction process is triggered, and the real-time temperature data is input into the above-mentioned temperature-spoilage rate mathematical model. The initial spoilage rate of the food at the current temperature is calculated by the model. Based on the initial spoilage rate and the spoilage rate parameter, the estimated spoilage rate of each temperature zone is obtained. Specifically, the estimated spoilage rate = initial spoilage rate × spoilage rate parameter. Finally, according to the estimated spoilage rate, the estimated spoilage time of the food is calculated, that is, the estimated time difference from the time when the temperature and humidity data of the temperature zone is greater than the temperature and humidity threshold of the temperature zone to the time when the food begins to spoil. Specifically, the estimated spoilage time = fresh-keeping time threshold / estimated spoilage rate, wherein the fresh-keeping time threshold is obtained through the preset correspondence table between temperature and humidity and food fresh-keeping time.

[0102] Since the refrigerator can maintain the best preservation conditions for a certain period of time when the refrigerator is powered off or the refrigeration system fails, so that each food ingredient remains fresh for a certain period of time, therefore, in the present application, starting from when the real-time temperature and humidity data of the temperature zone is greater than the preset temperature and humidity threshold of the temperature zone, the estimated spoilage time of the food ingredient in the temperature zone is evaluated, that is, when the refrigeration is stopped, the best estimated time to ensure the freshness of the food ingredient in each temperature zone is obtained, and the refrigeration time parameter indicates the length of time each temperature zone needs to be refrigerated when the temperature and humidity data in the temperature zone is greater than the preset temperature and humidity threshold of the temperature zone after the refrigerator is powered off, so as to ensure that the food ingredient does not spoil within the set safety time, therefore, the refrigeration time parameter corresponds to the estimated spoilage time, and when the refrigerator is powered on by the energy storage device, the energy storage device supplies power to the corresponding temperature zone within the above-mentioned best estimated time, that is, the refrigeration time parameter, so that the food ingredient in each temperature zone can remain fresh.

[0103] It can be understood that when the refrigerator is powered off, the control circuit of the refrigerator will synchronously switch to the energy storage device power supply mode, that is, the refrigerator is powered by the energy storage device. In some embodiments, the energy storage device is an electrical energy storage device with high energy density and high power density, such as a supercapacitor. However, under normal circumstances, the storage capacity of the energy storage device is limited. Therefore, in the case of an unknown power outage time, in this embodiment, the energy storage device supplies power to each temperature zone starting from when the real-time temperature and humidity data of each temperature zone is greater than the preset temperature and humidity threshold of the temperature zone, to ensure that the ingredients in different temperature zones can be taken into account in the event of a power outage to achieve the best preservation effect.

[0104] In some embodiments, the real-time acquisition of temperature and humidity data in each temperature zone after the refrigerator is powered off, and the evaluation of the rate of decrease of the freshness of the food in each temperature zone according to a preset correspondence table between temperature and humidity and food preservation time, include:

[0105] Compare the temperature and humidity data in each temperature zone after the refrigerator is powered off with the preset temperature and humidity thresholds of the temperature zone. If the temperature data in the temperature zone is greater than the preset temperature threshold of the temperature zone or the humidity data is greater than the preset temperature threshold of the temperature zone, record the current threshold timestamp;

[0106] Obtain a power-off timestamp when the refrigerator is powered off, and obtain the optimal fresh-keeping time of food after the refrigerator is powered off through the power-off timestamp and the threshold timestamp;

[0107] Through the preset correspondence table between temperature and humidity and food preservation time, the preservation time threshold of each food under the best preservation conditions is obtained;

[0108] Obtaining a reduction in the fresh-keeping time by using the optimal fresh-keeping time and the fresh-keeping time threshold;

[0109] Based on the reduction in the freshness preservation time and the optimal freshness preservation time, obtaining a rate of decrease in the freshness of each food ingredient;

[0110] For each temperature zone, the average value of the rate of decrease in the freshness of all ingredients is calculated to obtain the rate of decrease in the freshness of the ingredients in the temperature zone.

[0111] In this embodiment, the preset correspondence table between temperature and humidity and food shelf life is a data table for evaluating the food shelf life under different temperatures and humidity based on the biological characteristics and storage conditions of each food. The correspondence table can be used to obtain the food shelf life threshold under the optimal preservation conditions, which is usually obtained through experimental data, scientific literature or experience summary.

[0112] The temperature and humidity thresholds of the temperature zones include the temperature thresholds of the temperature zones and the humidity thresholds of the temperature zones. The above thresholds are the optimal preservation conditions calculated before the power is turned off in the refrigerator according to the types of ingredients stored in the temperature zones and the corresponding preservation times of the ingredients. It can be understood that under the conditions of the temperature thresholds of the temperature zones and the humidity thresholds of the temperature zones, the ingredients in the temperature zones can be preserved for the longest time. In addition, the temperature and humidity thresholds of the temperature zones in each temperature zone are different, and are associated through the temperature zone ID and stored in the non-volatile memory, so that when the power is turned off in the refrigerator, the relevant threshold information can be retrieved from the non-volatile memory.

[0113] In this embodiment, the power-off timestamp when the refrigerator is powered off is obtained, and for each food in each temperature zone, the temperature and humidity data in the temperature zone are obtained in real time. When the temperature data in the temperature zone is greater than the preset temperature threshold of the temperature zone or the humidity data is greater than the preset humidity threshold of the temperature zone, the threshold timestamp at this time is recorded, and the best preservation time of the food after the power off is obtained through the power-off timestamp and the threshold timestamp. Specifically, the best preservation time = threshold timestamp-power-off timestamp; the preservation time threshold of each food under the best preservation conditions is obtained through the corresponding relationship table between temperature and humidity and food preservation time, and then the reduction of preservation time is obtained. Specifically, the reduction of preservation time = preservation time threshold-optimal preservation time, thereby calculating the rate of decrease of the freshness of each food in the temperature zone, specifically, the rate of decrease = freshness reduction / optimal preservation time. It can be understood that the rate of decrease of the freshness of the food in the temperature zone is obtained by calculating the average value of the rate of decrease of the freshness of each food in the temperature zone.

[0114] S400, according to the power parameter of the energy storage device and the cooling time parameter of each temperature zone, a dynamic programming method is used to obtain a cooling time combination for each temperature zone;

[0115] In some embodiments, the step S400 includes:

[0116] Based on the power parameters of the energy storage device and the cooling time parameters of each temperature zone, a state transfer equation is established, and the state transfer equation is as follows:

[0117] dp[t+Δt1][e′]=max(dp[t][e]+cooling benefit-electricity consumption cost)

[0118] Wherein, dp[t][e] represents the optimal solution of the cooling time combination of each temperature zone when the preset time is t and the power parameter is e, and e′ is the new power parameter calculated according to the power update rule.

[0119] In this embodiment, the refrigeration benefit is the benefit brought by refrigeration of one or more temperature zones within the preset time, such as the degree of temperature reduction, the extension of food preservation time, etc., while the power consumption cost is the cost brought by the power consumed for refrigeration, such as the reduction of power of energy storage equipment, etc. Specifically, the power consumption within the preset time is determined according to the refrigeration time parameters and refrigeration power of each temperature zone. During the state transfer process, it is necessary to ensure that the refrigeration time of each temperature zone does not exceed its refrigeration time parameter. The optimal refrigeration time combination of each temperature zone is obtained by solving the above state transfer equation.

[0120] In this embodiment, the refrigeration time combination of each temperature zone obtained by the above state transfer equation is the refrigeration time of each temperature zone within the first time step Δt1. During the power outage of the refrigerator, the energy storage device is used to iteratively power and cool each greenhouse with the first time step Δt1 as a period. It can be understood that the first time step is a time unit for measuring the change in the power of the energy storage device, which is related to the specifications, application requirements, power supply stability and self-discharge rate of the energy storage device.

[0121] In some embodiments, the new power parameter calculated according to the power update rule includes:

[0122] In the power supply mode of the energy storage device, calculating the power reduction value of the energy storage device in each time step to obtain a new power parameter;

[0123] The calculation formula of the new power parameter is as follows:

[0124]

[0125] Where Δt1 represents the first time step, E0 represents the power of the energy storage device when it starts to supply power, P cool,i represents the power consumption when cooling the i-th temperature zone, η represents the energy conversion efficiency when the energy storage device supplies power to the refrigerator, and N represents the number of temperature zones in the refrigerator;

[0126] The calculation formula of the power of the energy storage device when it starts to supply power is as follows:

[0127] E0=E max -λ×e×Δt2

[0128] Wherein, Δt2 represents the second time step, λ represents the power attenuation rate of the energy storage device in an idle state, e represents the power of the energy storage device at a preset time, and E max The amount of electricity when the energy storage device is fully charged.

[0129] In this embodiment, for the energy storage device, when in an idle state, its power will decay accordingly. Therefore, when calculating the new power parameter, it is necessary to subtract the decayed part of the power to obtain the power of the energy storage device when it starts to supply power. Specifically, in the idle state, within each second time step Δt2, the power of the energy storage device is updated according to the self-discharge rate. When the refrigerator is powered by the energy storage device, the update of the power of the energy storage device needs to subtract the power consumption during cooling of each temperature zone.

[0130] S500, after the refrigerator is powered on again, determining a temperature zone control parameter for each temperature zone according to actual temperature and humidity data of each temperature zone and food information, wherein the temperature zone control parameter includes a temperature control value and a humidity control value;

[0131] In this embodiment, after the refrigerator resumes power supply, the temperature zone control parameters of each temperature zone are dynamically determined based on the actual temperature and humidity data of each temperature zone and the food information, so that the refrigerator can quickly return to the optimal operating state before the power outage, thereby ensuring that the refrigerator minimizes energy consumption while keeping the food fresh.

[0132] In some embodiments, the step S500 includes:

[0133] For each temperature zone, obtain food information of each type of food in the temperature zone, and calculate and obtain the optimal temperature range and optimal humidity range corresponding to the temperature zone;

[0134] Selecting the middle value of the optimal temperature range as the set temperature of the temperature zone, and selecting the middle value of the optimal humidity range as the set humidity of the temperature zone;

[0135] The set temperature is compared with the actual temperature data of the temperature zone to obtain a temperature control value, and the set humidity is compared with the actual humidity data of the temperature zone to obtain a humidity control value.

[0136] In this embodiment, for each temperature zone, the optimal preservation humidity and the optimal preservation temperature of each food are obtained, and the highest and lowest values ​​of the optimal preservation humidity of multiple foods are selected as the upper and lower limits of the optimal humidity range of the corresponding temperature zone, and then, the middle value between the upper and lower limits of the above-mentioned optimal humidity range is selected as the set humidity of the temperature zone. Similarly, the highest and lowest values ​​of the optimal preservation temperatures of multiple foods are selected as the upper and lower limits of the optimal temperature range of the corresponding temperature zone, and then, the middle value between the upper and lower limits of the above-mentioned optimal temperature range is selected as the set temperature of the temperature zone.

[0137] In this embodiment, for the temperature control value, if the actual temperature data is greater than the set temperature, it means that when the refrigerator resumes power supply, the temperature in the temperature zone is too high, and the temperature in the temperature zone needs to be regulated, and the temperature control value = actual temperature data - set temperature; similarly, for the humidity control value, if the actual humidity data is less than the set humidity, it means that when the refrigerator resumes power supply, the humidity in the temperature zone is too low, and the humidity in the temperature zone needs to be regulated, and the humidity control value = set humidity - actual humidity data. It can be understood that when the refrigerator stops refrigeration, the temperature in the refrigerator will gradually rise, and the humidity in the corresponding refrigerator will gradually decrease. Therefore, when comparing the size between the set temperature and the actual temperature data in the temperature zone, the situation where the actual temperature data is greater than the set temperature is considered, and when comparing the size between the set humidity and the actual humidity data in the temperature zone, the situation where the actual humidity data is less than the set humidity is considered.

[0138] S600: Dynamically adjust the operation strategy of the refrigeration system according to the temperature zone control parameters.

[0139] In some embodiments, the step S600 includes:

[0140] If the temperature control value or the humidity control value is greater than a preset control threshold, a PID control algorithm is used to obtain execution control parameters of the temperature zone, wherein the execution control parameters include cooling power, humidification amount, and dehumidification amount;

[0141] The operation strategy of the refrigeration system in each temperature zone is adjusted by executing the control parameters.

[0142] In this embodiment, if the temperature control value or the humidity control value exceeds the preset control threshold, the PID control algorithm is triggered, and the temperature control value or the humidity control value is used as input to calculate the execution control parameters such as the cooling power, humidification amount and dehumidification amount required for each temperature zone; according to the execution control parameters output by the PID control algorithm, the specific operation strategies such as the operation mode, compressor frequency, and fan speed of the refrigeration system in each temperature zone are determined; by adjusting the operation strategy of the refrigeration system, the temperature and humidity in each temperature zone are precisely controlled, and the deviation value of the temperature or humidity is controlled within the allowable range, wherein the preset control threshold generally includes a temperature control threshold and a humidity control threshold, and the temperature control threshold is the difference between the upper limit or lower limit of the optimal temperature range in the temperature zone and the set temperature, and similarly, the humidity control threshold is the difference between the upper limit or lower limit of the optimal humidity range in the temperature zone and the set humidity.

[0143] In this embodiment, the temperature zone environmental parameters are continuously collected, the regulation effect is monitored in real time, and the actual temperature and humidity and the preset regulation threshold are used as feedback inputs of the PID control algorithm to form a closed-loop control; an adaptive PID control algorithm is used to dynamically optimize the PID parameters according to historical regulation data and effects to improve the stability and response speed of the control; during the regulation process, if an extreme operating condition that exceeds the regulation capability occurs, an alarm mechanism is triggered to notify the user to handle it in time.

[0144] See also Figure 2 As shown, the present invention also provides a dynamic control system based on refrigerator power failure recovery, the system comprising:

[0145] The first processing module 201 is used to generate a mapping search table of different ingredients based on the ingredient information database;

[0146] The second processing module 202 is used for associating and storing the food attribute information and the temperature and humidity data of each temperature zone in the refrigerator when it is detected that the refrigerator is powered off, and switching the control circuit of the refrigerator to the energy storage device power supply mode, wherein the energy storage device power supply mode is to power the refrigerator through the energy storage device;

[0147] The third processing module 203 is used to calculate the refrigeration time parameters of each temperature zone according to the food attribute information and the temperature and humidity data;

[0148] The fourth processing module 204 is used to obtain a cooling time combination for each temperature zone by using a dynamic programming method according to the power parameter of the energy storage device and the cooling time parameter of each temperature zone;

[0149] The fifth processing module 205 is used to determine the temperature zone control parameters of each temperature zone according to the actual temperature and humidity data of each temperature zone and the food information after the refrigerator is restored to power, wherein the temperature zone control parameters include a temperature control value and a humidity control value;

[0150] The sixth processing module 206 is used to dynamically adjust the operation strategy of the refrigeration system according to the temperature zone control parameters.

[0151] It is understandable that if Figure 1 The contents of the embodiment of the dynamic control method based on refrigerator power failure recovery shown in the figure are applicable to the embodiment of the dynamic control system based on refrigerator power failure recovery. The functions specifically implemented by the embodiment of the dynamic control system based on refrigerator power failure recovery are similar to those in the embodiment of the dynamic control method based on refrigerator power failure recovery shown in the figure. Figure 1 The embodiment of the dynamic control method based on refrigerator power failure recovery shown in FIG. 1 is the same as that shown in FIG. 1 , and the beneficial effects achieved are the same as those of FIG. Figure 1 The beneficial effects achieved by the embodiment of the dynamic control method based on refrigerator power failure recovery shown are also the same.

[0152] It should be noted that the information interaction, execution process and other contents between the above-mentioned systems are based on the same concept as the embodiment of the method of the present invention. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0153] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0154] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A dynamic control method based on refrigerator power failure recovery, characterized in that: include: Based on the food information database, a mapping retrieval table of different food ingredients is generated; When it is detected that the refrigerator is powered off, the food attribute information and temperature and humidity data of each temperature zone in the refrigerator are associated and stored, and at the same time, the control circuit of the refrigerator is switched to an energy storage device power supply mode, wherein the energy storage device power supply mode is to power the refrigerator through the energy storage device; Calculate and obtain the refrigeration time parameters of each temperature zone according to the food attribute information and the temperature and humidity data; According to the power parameters of the energy storage device and the cooling time parameters of each temperature zone, a dynamic programming method is used to obtain a cooling time combination for each temperature zone; After the refrigerator is powered on again, the temperature zone control parameters of each temperature zone are determined according to the actual temperature and humidity data of each temperature zone and the food information, wherein the temperature zone control parameters include a temperature control value and a humidity control value; According to the temperature zone control parameters, the operation strategy of the refrigeration system is dynamically adjusted.

2. The method according to claim 1, characterized in that The method of generating a mapping retrieval table of different ingredients based on the ingredient information database includes: Obtaining food information of each food through a food information database, and mapping a unique food code for each food, wherein the food information includes an optimal fresh-keeping humidity and an optimal fresh-keeping temperature; Using the food code as a key and the food information as a value, a mapping retrieval table of different food ingredients is constructed; For unknown ingredients, a similarity matching algorithm is used to match initial reference ingredients from the ingredient information database, the ingredient information of the reference ingredients is used as the ingredient information of the unknown ingredients, and the reference ingredients are added to the mapping retrieval table.

3. The method according to claim 1, characterized in that The associating and storing the food information and temperature and humidity data of each temperature zone in the refrigerator includes: An independent sensor unit is installed in each temperature zone to collect temperature and humidity data of each temperature zone in real time; The food images of each temperature zone are collected by a built-in camera of the refrigerator to obtain original food image data, and the original image data are recognized by image processing technology to obtain a list of food types in each temperature zone; Mapping the ingredients in the ingredient type list to corresponding ingredient codes through the mapping search table to obtain ingredient attribute information of each temperature zone, wherein the ingredient attribute information includes ingredient type and ingredient quantity; A unique temperature zone ID is mapped to each temperature zone, and the temperature and humidity data and food attribute information corresponding to the temperature zone are associated with the temperature zone ID and stored through a non-volatile memory.

4. The method according to claim 1, characterized in that The step of calculating the refrigeration time parameters of each temperature zone according to the food attribute information and the temperature and humidity data includes: Real-time acquisition of temperature and humidity data in each temperature zone after the refrigerator is powered off, and evaluation of the rate of decline in the freshness of food in each temperature zone based on the preset table of correspondence between temperature and humidity and food preservation time; Based on the decline rate, the spoilage rate parameters of various types of food in the temperature zone are calculated; Based on the preset temperature-corruption rate model, the initial corruption rate of the food in each temperature zone is obtained; Based on the initial corruption rate and the corruption rate parameter, obtaining an estimated corruption rate in each temperature zone; Based on the estimated spoilage rate, the estimated spoilage time of the food in each temperature zone is calculated, and the estimated spoilage time is the estimated time difference between the food spoilage time and the threshold timestamp when the refrigerator is powered off. The threshold timestamp is the time when the temperature and humidity data in the temperature zone is greater than the preset temperature and humidity threshold of the temperature zone after the refrigerator is powered off; Based on the estimated spoilage duration, the refrigeration time parameters of each temperature zone are obtained.

5. The method according to claim 4, characterized in that The real-time acquisition of temperature and humidity data in each temperature zone after the refrigerator is powered off, and the evaluation of the rate of decrease of the freshness of the food in each temperature zone according to a preset correspondence table between temperature and humidity and food preservation time, include: Compare the temperature and humidity data in each temperature zone after the refrigerator is powered off with the preset temperature and humidity thresholds of the temperature zone. If the temperature data in the temperature zone is greater than the preset temperature threshold of the temperature zone or the humidity data is greater than the preset temperature threshold of the temperature zone, record the current threshold timestamp; Obtain a power-off timestamp when the refrigerator is powered off, and obtain the optimal fresh-keeping time of food after the refrigerator is powered off through the power-off timestamp and the threshold timestamp; The threshold value of the preservation time of each ingredient under the best preservation conditions is obtained through the preset correspondence table between temperature and humidity and the preservation time of ingredients; Obtaining a reduction in the fresh-keeping time by using the optimal fresh-keeping time and the fresh-keeping time threshold; Based on the reduction in the freshness preservation time and the optimal freshness preservation time, obtaining a rate of decrease in the freshness of each food ingredient; For each temperature zone, the average value of the rate of decrease in the freshness of all ingredients is calculated to obtain the rate of decrease in the freshness of the ingredients in the temperature zone.

6. The method according to claim 1, characterized in that The method of obtaining a cooling time combination for each temperature zone by using a dynamic programming method according to the power parameter of the energy storage device and the cooling time parameter of each temperature zone includes: Based on the power parameters of the energy storage device and the cooling time parameters of each temperature zone, a state transfer equation is established, and the state transfer equation is as follows: dp[t+Δt][e′]=max(dp[t][e]+cooling benefit-electricity consumption cost) Wherein, dp[t][e] represents the optimal solution of the cooling time combination of each temperature zone when the preset time is t and the power parameter is e, and e′ is the new power parameter calculated according to the power update rule.

7. The method according to claim 6, characterized in that The new power parameters calculated according to the power update rule include: In the power supply mode of the energy storage device, calculating the power reduction value of the energy storage device in each time step to obtain a new power parameter; The calculation formula of the new power parameter is as follows: e′=E0-P cool,i ×Δt / η Among them, Δt represents the time step, E0 represents the power of the energy storage device when it starts to supply power, P cool,i represents the power consumption when cooling the i-th temperature zone, and η represents the energy conversion efficiency when the energy storage device supplies power to the refrigerator; The calculation formula of the power of the energy storage device when it starts to supply power is as follows: E0=E max -λ×e×Δt Where λ represents the power attenuation rate of the energy storage device in an idle state, e represents the power of the energy storage device at a preset time, and E max The amount of energy when the energy storage device is fully charged.

8. The method according to claim 1, characterized in that: After the refrigerator is powered on again, the temperature zone control parameters of each temperature zone are determined according to the actual temperature and humidity data of each temperature zone and the food information, and the temperature zone control parameters include a temperature control value and a humidity control value, including: For each temperature zone, obtain food information of each type of food in the temperature zone, and calculate and obtain the optimal temperature range and optimal humidity range corresponding to the temperature zone; Selecting the middle value of the optimal temperature range as the set temperature of the temperature zone, and selecting the middle value of the optimal humidity range as the set humidity of the temperature zone; The set temperature is compared with the actual temperature data of the temperature zone to obtain a temperature control value, and the set humidity is compared with the actual humidity data of the temperature zone to obtain a humidity control value.

9. The method according to claim 1, characterized in that The dynamically adjusting the operation strategy of the refrigeration system according to the temperature zone control parameters includes: If the temperature control value or the humidity control value is greater than a preset control threshold, a PID control algorithm is used to obtain execution control parameters of the temperature zone, wherein the execution control parameters include cooling power, humidification amount, and dehumidification amount; The operation strategy of the refrigeration system in each temperature zone is adjusted by executing the control parameters.

10. A dynamic control system based on refrigerator power failure recovery, characterized in that: include: The first processing module is used to generate a mapping retrieval table of different ingredients based on the ingredient information database; The second processing module is used for associating and storing the food attribute information and the temperature and humidity data of each temperature zone in the refrigerator when it is detected that the refrigerator is powered off, and at the same time switching the control circuit of the refrigerator to the energy storage device power supply mode, wherein the energy storage device power supply mode is to power the refrigerator through the energy storage device; The third processing module is used to calculate the refrigeration time parameters of each temperature zone according to the food attribute information and the temperature and humidity data; The fourth processing module is used to obtain the cooling time combination of each temperature zone by using a dynamic programming method according to the power parameter of the energy storage device and the cooling time parameter of each temperature zone; The fifth processing module is used to determine the temperature zone control parameters of each temperature zone according to the actual temperature and humidity data of each temperature zone and the food information after the refrigerator is restored to power, wherein the temperature zone control parameters include the temperature control value and the humidity control value; The sixth processing module is used to dynamically adjust the operation strategy of the refrigeration system according to the temperature zone control parameters.

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