Temperature control method for double-temperature-zone refrigerator and refrigerator

Abstract

The invention relates to the technical field of refrigerator control, in particular to a double-temperature-zone refrigerator temperature control method and a refrigerator, and the method comprises the steps: obtaining a temperature value and a target temperature value of each temperature control zone, and setting a state vector of each temperature control zone; according to the state vector of each temperature control subarea, determining an initial control strategy of each temperature control subarea according to the air circulation condition in the temperature control subarea; traversing the initial control strategy according to the actual operation time of the initial control strategy, and checking the strategy interaction degree of each temperature control partition; extracting a phase difference condition of each temperature control subarea under the strategy interaction degree, and identifying a control adjustment mode of the current temperature control subarea according to an execution time length value under the phase difference condition; based on the target adjustment temperature of the control adjustment mode, checking the resource matching degree of each temperature control partition, and outputting an adjusted control strategy corresponding to each temperature control partition according to the resource matching degree; efficiency and accuracy of temperature control of the double-temperature-zone refrigerator are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of freezer control, and specifically to a temperature control method and a freezer for a dual-temperature zone freezer. Background Art

[0002] Traditional dual-temperature zone freezers use two partitions for processing, such as a refrigeration-freezing dual-temperature zone to process corresponding goods. However, the two partitions mostly use fixed temperature thresholds or simple PID control, and cannot adapt to the characteristics of stored items and dynamic environmental changes. At the same time, when multiple temperature zones work together, temperature fluctuations are likely to occur due to cold quantity competition, resulting in a reduction in the utilization efficiency of cold quantity.

[0003] For example, Chinese Patent Publication No. CN118532874A discloses a method, device, equipment and storage medium for adjusting the temperature of a refrigerator, which relates to the technical field of refrigerator adjustment. The method includes: calculating the remaining shelf life of each item according to the refrigeration temperature of the refrigerator and the storage duration of each item in the cabinet; if the remaining shelf life of an item is less than a set threshold, obtaining the standard refrigeration temperature range of each item and determining the temperature adjustable range of the refrigerator; obtaining the environmental temperature of the refrigerator and the average opening and closing duration each time the refrigerator is opened and closed, and determining the temperature loss coefficient each time the refrigerator is opened and closed according to the environmental temperature and the average opening and closing duration; according to the temperature loss coefficient, determining the target refrigeration temperature of the refrigerator within the adjustable range, and adjusting the refrigeration temperature of the refrigerator to the target refrigeration temperature.

[0004] For example, Chinese Patent Publication No. CN116753662A discloses a freezer partition control method and system, which relates to the technical field of freezers; the method includes: obtaining the first temperature data of the freezing partition and the second temperature data of the refrigerating partition in the i-th control cycle; obtaining the ventilation power, the refrigeration power of the freezing partition and the refrigerating partition; determining the relationship between the ventilation power and the refrigeration power of the freezing partition and the refrigerating partition; determining whether the refrigeration power of the freezing partition, the refrigeration power of the refrigerating partition and the ventilation power need to be adjusted; if adjustment is required, obtaining the ventilation power, the refrigeration power of the freezing partition and the refrigeration power of the refrigerating partition in the (i + 1)-th control cycle according to the relationship, the first temperature data, the second temperature data, the ventilation power, the refrigeration power of the freezing partition and the refrigeration power of the refrigerating partition, and refrigerating the freezer.

[0005] The prior art illustrates the method of controlling the current refrigeration temperature of a refrigerator based on the shelf life, and the method of explaining the current cold quantity distribution using the ventilation efficiency. However, the prior art ignores the temperature control process when frost formation occurs during the use of the freezer, resulting in the inability to coordinate the operating states of each device in the current freezer by combining frost formation prediction and the proportion of cold quantity that can be distributed in the dual-temperature zone during cold quantity distribution, leading to possible uneven temperature in some parts under the overall temperature adjustment. Summary of the Invention

[0006] To solve the above technical problems, the technical solution adopted by the present invention is: a temperature control method for a double-temperature zone refrigerator, including: S1, obtaining the temperature values and target temperature values of each temperature control zone, and setting the state vectors of each temperature control zone.

[0007] S2, according to the state vectors of each temperature control zone and the air circulation conditions within the temperature control zone, determining the initial control strategies for each temperature control zone.

[0008] S3, traversing the initial control strategies based on the actual operation time of the initial control strategies to check the degree of strategy interaction of each temperature control zone.

[0009] S4, extracting the difference conditions of each temperature control zone under the degree of strategy interaction, and identifying the control adjustment mode of the current temperature control zone based on the execution time length value under the difference conditions.

[0010] S5, based on the target adjustment temperature of the control adjustment mode, checking the resource matching degree of each temperature control zone, and outputting the adjusted control strategies corresponding to each temperature control zone according to the resource matching degree.

[0011] A refrigerator, characterized by comprising: a processor, a memory, and a temperature control program stored on the memory and executable on the processor, and when the temperature control program is executed by the processor, the steps of any one of the temperature control methods for a double-temperature zone refrigerator are implemented.

[0012] The beneficial effects of the present invention are as follows: First, by associating the temperature deviation between the temperatures of the double-temperature zones and the first preset temperature threshold and the relevant stored items and other situations with the currently divided temperature control zones, the target temperature values within different temperature control zones are allocated, and based on the current temperature mode of the refrigerator, it is judged whether the defrosting condition will be triggered at the current temperature to identify the possible temperature changes, preventing temperature fluctuations and energy consumption waste caused by defrosting operations.

[0013] Second, by calculating the residence time and number of times of each temperature zone within the interval through the temperature time series, and describing the degree of strategy interaction of each temperature control zone with the residence time and number of times, the implementation situation of each temperature control zone under the corresponding initial control strategy is defined, preventing control conflicts caused by cold quantity competition in multiple temperature zones, and at the same time recording the relative execution order of each temperature control zone under the corresponding conflict detection to clarify the existing deviation under the current control mode, so as to improve the strategy execution efficiency.

[0014] III. The present invention controls the mode type by using the phase difference condition mapping, generates matching pairs through cross-combination, calculates the resource matching degree by weighting with historical frequencies, and uses fuzzy clustering to generate the final strategy, preventing resource waste or overload caused by the disconnection between device capabilities and control requirements, and then completes the temperature adjustment of each temperature control zone under the current refrigerator, thereby extending the service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the drawings and embodiments.

[0016] Figure 1 It is a schematic flow chart of a temperature control method for a two-temperature zone refrigerator.

[0017] Figure 2 It is a schematic flow chart of step S2 of a temperature control method for a two-temperature zone refrigerator.

[0018] Figure 3 It is a schematic flow chart of step S3 of a temperature control method for a two-temperature zone refrigerator.

[0019] Figure 4 It is a schematic flow chart of step S4 of a temperature control method for a two-temperature zone refrigerator.

[0020] Figure 5 It is a schematic flow chart of step S5 of a temperature control method for a two-temperature zone refrigerator. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] The embodiments of the present invention will be described in detail below. The following described embodiments are exemplary and are only used to explain the present invention and should not be construed as a limitation to the present invention. For those not specified in the embodiments, the techniques or conditions described in the literature in the art or according to the product specifications are followed.

[0022] Refer to Figure 1 , a temperature control method for a two-temperature zone refrigerator, characterized by including: S1, obtaining the temperature values and target temperature values of each temperature control zone, and setting the state vectors of each temperature control zone.

[0023] S2, according to the state vectors of each temperature control zone and the air circulation situation within the temperature control zone, determine the initial control strategy for each temperature control zone.

[0024] S3, traverse the initial control strategy based on the actual running time of the initial control strategy, and check the strategy interaction degree of each temperature control zone.

[0025] S4, extract the phase difference conditions of each temperature control zone under the strategy interaction degree, and identify the control adjustment mode of the current temperature control zone based on the execution time length value under the phase difference conditions.

[0026] S5. Based on the target adjustment temperature of the control adjustment mode, check the resource matching degree of each temperature control zone, and output the adjusted control strategy corresponding to each temperature control zone according to the resource matching degree.

[0027] The dual-temperature zone is mainly displayed according to different temperature sources of its sampling. Generally, the refrigerator-freezer will be divided into a refrigerating zone and a freezing zone. When the usage scenario of the refrigerator-freezer changes, the freezing zone and the refrigerating zone may be divided into multiple zones to store products such as items and foods. At this time, the space for storing items is divided into multiple temperature control zones, and then starting from the start time and end time of each space, with the actual time in the space where the initial control strategy is located as a variable, traverse the control strategies in each temperature control zone, and use the alternating control time of the control strategy as the obtained value to check the value in the temperature control zone to complete the control of its temperature. The temperature values obtained at this time include the temperature of the current temperature control zone, such as the refrigerating temperature and the freezing temperature, to check the set temperature value in the current temperature control zone, and then check the set target temperature to see if the temperature of the current temperature control zone is within the range of the target value.

[0028] The above temperature values are used to represent the temperature conditions in multiple temperature control zones divided in the current refrigerator-freezer. At this time, multiple temperature sensors are set in the refrigerator-freezer to respectively identify the actual temperature, average temperature, temperature range value that appears in the refrigerator-freezer over time, and whether the current refrigerator-freezer is normally performing a defrosting program, etc.; the target temperature value represents the expected temperature reached by the corresponding temperature control zone in the refrigerator-freezer, such as the set temperature range of the refrigerating compartment and the set temperature range of the freezing compartment.

[0029] That is, the implementation method of obtaining the temperature value and the target temperature value of each temperature control zone in step S1 also includes: S11. Check the temperature value of the current temperature control zone, and judge whether the temperature value of the current temperature control zone is less than the first preset temperature threshold. If it is less than the first preset temperature threshold, then based on the temperature value of the current temperature control zone, adapt the current temperature control zone to the storage space size and the stored items to adapt to the storage situation of each temperature control zone and set the target temperature value.

[0030] S12. If it is greater than the first preset temperature threshold, then obtain the temperature deviation between the current temperature value and the first preset temperature threshold, detect the temperature change rate of the temperature deviation in each temperature control zone, and determine the temperature mode of the current temperature control zone according to the temperature change rate, and set the target temperature value according to the temperature mode of the current temperature control zone.

[0031] At this time, the current temperatures of each temperature zone in the double-temperature zone refrigerator are obtained in real time, such as the temperature of the refrigerating compartment, the temperature of the freezing compartment, and the ambient temperature; then, the change rate of the temperature deviation in the current temperature control zone is used as the temperature mode describing the current temperature control zone to illustrate whether the current temperature is in the state of rapid freezing, constant freezing, or dynamic adjustment, so as to identify whether there is corresponding frost at present. According to the temperature deviation and the temperature change speed, the temperature mode of the refrigerator, such as refrigeration, heating, defrosting, and the corresponding power output and operation time, is dynamically adjusted.

[0032] The above-mentioned first preset threshold will select different thresholds according to whether the temperature control zone is located in the refrigerating area or the freezing area. For example, when in the freezing area, its first preset threshold is expressed as -15°C, and in the refrigerating area, it can be set to 2°C; if the temperature is lower than this temperature, it means that the items have been cooled sufficiently and can enter the adaptation state related to the corresponding items. At this time, the information related to the currently stored items can be input into the temperature database corresponding to the current refrigerator in the form of an internal camera or APP input, and then the common temperature control zone for storing the items is selected to set the current target temperature value.

[0033] If it is greater than the first preset threshold, it is necessary to quantify the change rate of the current temperature deviation to illustrate whether the current is in the state of rapid cooling, steady-state maintenance, or other temperature modes, and then find the target temperature value corresponding to the temperature mode from the temperature database of the refrigerator to complete the basic identification of the working states of multiple temperature control zones in the refrigerator.

[0034] After setting the target temperature value, the temperature value of the current temperature control zone and the target temperature value are combined into a state vector to illustrate the relative state of the current temperature control zone.

[0035] When identifying its temperature mode at this time, interval matching is performed based on the change rate of its temperature deviation and the temperature deviation value. For example, the rapid cooling mode corresponding to a large temperature deviation and a fast change rate, which is in the scenario when the refrigerator is just started or the door is frequently opened; such as the energy-saving maintenance mode with a small temperature deviation and a slow change rate, which belongs to the normal operation state, and at this time, only the target temperature value required for the energy-saving maintenance state is needed; such as the precise constant temperature mode corresponding to the temperature close to the first preset threshold and small fluctuations, which generally represents the temperature maintained for storing specific foods, and this temperature can be obtained based on the temperature database of the refrigerator to complete the setting of the target temperature value.

[0036] In an embodiment of the present invention, as Figure 2 shown, the implementation manner of step S2 includes: S21, based on the state vectors of each temperature control zone, check the temperature change situation of the corresponding temperature control zone.

[0037] S22, according to the temperature change situation of the temperature control zone, obtain the temperature mode of the current refrigerator.

[0038] In S23, it is determined whether the temperature mode of the current refrigerator meets the defrosting condition. If it meets, the temperature adjustment information of the current temperature control zone is determined based on the target temperature value in the current temperature mode, and the temperature adjustment information is used as the initial control strategy for the current temperature control zone. If it does not meet, the previous defrosting time interval of the current temperature control zone is obtained, and the initial control strategy of the current temperature control zone is set based on the defrosting time interval.

[0039] When determining whether the temperature mode of the current refrigerator meets the defrosting condition, it mainly checks the temperatures at multiple positions in the current temperature control zone. For example, the temperature value on the evaporator is used to calculate the theoretical frost formation amount in the current temperature control zone to determine whether the current temperature control zone needs to perform automatic defrosting and other operations according to its air flow situation. By using the forms of the temperature difference method and the absolute temperature method, the parts in the current temperature control zone that need to be defrosted are identified, and finally the defrosting process is completed.

[0040] At this time, the obtained temperature value and the temperature value corresponding to the target temperature value are divided into multiple time periods with 24 hours. According to the temperature values and storage requirements in different time periods, the operation mode of the refrigerator is planned. At the same time, it is necessary to judge the air flow situation in the current temperature control zone, identify the temperature at each position in the current temperature area according to the air flow situation, and use the mean square error between multiple groups of temperature values measured in the current temperature control zone and the target temperature value to describe the temperature consistency in the current temperature control zone. [[ID=&]]

[0041] Therefore, when determining whether the temperature mode of the current refrigerator meets the defrosting condition in step S23, its implementation method also includes: checking the ambient temperature and coil temperature of the current refrigerator. At this time, the ambient temperature relative to multiple temperature control zones in the current refrigerator is checked through the return air temperature sensor, and the patch temperature sensor is used to install at the evaporator outlet to identify its coil temperature. The temperature value, ambient temperature, and coil temperature of the current temperature control zone are used as simulation conditions to describe the air flow field of each temperature zone in the current refrigerator, and the theoretical frost formation amount in the current temperature control zone is calculated based on the frost formation characteristic parameters of the air flow field in multiple target optimization scenarios. It is judged whether the theoretical frost formation amount meets the defrosting condition. If it meets, the defrosting operation is performed on the current temperature control zone. Here, the temperature value refers to the temperature measured in the freezer or the refrigerator compartment.

[0042] When using the ambient temperature and coil temperature as simulation conditions at this time, first, the Navier - Stokes equation needs to be solved to determine whether the air flow field in the current temperature control interval conforms to the normal situation. After it conforms, multiple temperature values such as the temperatures collected in the temperature control interval, ambient temperature, and coil temperature are used as its optimization objectives, and they are optimized by the particle swarm optimization algorithm. Then, the temperature value under the optimal particle is selected to query the frost formation characteristic parameters to describe whether the current temperature control zone needs to perform defrosting, so as to realize the initial control strategy for the temperature of the relevant temperature control zone.

[0043] The Navier-Stokes equations are expressed as: ; where represents the fluid density, and here the fluid density is expressed as the air density within the corresponding temperature control zone; represents the fluid velocity field, represents the gradient operator, represents the pressure, represents the Laplace operator, which is the second-order operation of the gradient operator; represents the dynamic viscosity of the flow. Here, the dynamic viscosity of the fluid represents the dynamic viscosity of air. For example, the dynamic viscosity of air is approximately ; represents the external force term. At this time, mainly parameters such as wind speed and pressure collected within the corresponding temperature control range are used as inputs to identify whether the air flow within the current temperature control zone is normal. In a dual-temperature zone refrigerator, by simulating the flow fields in different regions, areas with uneven air flow or vortices can be identified. For example, there may be air flow interference between the refrigerating zone and the freezing zone, resulting in uneven temperature distribution; at this time, by identifying the flow situation, the temperatures in the two temperature control zones can be made more stable and uniform, so as to implement the initial control strategy for each temperature control zone.

[0044] In addition, it is also necessary to verify its temperature-related conditions, such as processing in the form of heat conduction: ; where represents the specific heat capacity, represents the temperature, which is the temperature values at multiple positions collected within the corresponding temperature control zone; represents the thermal conductivity; at this time, the specific heat capacity and thermal conductivity can be directly obtained by referring to the specific heat capacity and thermal conductivity related to air, to determine whether there are temperature differences at some points during the air flow, and to check each temperature control zone according to whether the corresponding heat conduction formula holds, so as to determine how to implement the initial control strategy.

[0045] After that, the temperature values, ambient temperature, and coil temperature of the collected temperature control zone are processed as its targets, such as processing in the form of composing a fitness function ; where represents the number of targets. At this time, the number of set targets is at least 3, represents the number of targets, , , Taking various optimization objectives as the guide, such as the temperature fluctuation amplitudes of the temperature value, ambient temperature, and coil temperature, the energy consumption generated at the current temperature value, the time required to reach the set target temperature value, etc., to view multiple target states of the current ambient temperature and coil temperature in the defrosting scenario that needs to be carried out, as well as the matching degree finally guided by the target state, to describe the defrosting amount that can be obtained in the next temperature control zone under its temperature guidance, and whether the corresponding operating conditions tend to be in a normal state; , , Represent the weights of various optimization objectives. The larger the value of the fitness function, the closer the temperature in the current temperature space is to the optimal state. The weight values here can be used based on the weight values set for each optimization objective in the historical data, or the average value of the weights of each optimization objective under multiple processes can be selected. At this time, when multiple optimization objectives are used as inputs, the data input by each optimization objective will be processed in a normalized or standardized form to ensure that it is within the range of a unified dimension. That is, when the values of multiple optimization objectives reach the maximum, the relative values of temperature, conditions, etc. will be used as the initial control strategy to process the current defrosting and temperature settings, etc.

[0046] As for the particle swarm optimization algorithm, it takes the multi-objectives used above as possible solutions at this time. That is, the input temperature value, ambient temperature, and coil temperature are used as the target vectors, and they are represented in the form of particles. For the i-th particle, it is represented as and ; where represents the position of the current particle, representing the value of the target vector; represents the velocity of the current particle, representing the direction and magnitude of the change of the target vector.

[0047] After updating each particle according to the update rule, the update of the fitness function under the multi-objective processing is completed. Finally, the initial control strategy corresponding to the temperature value, ambient temperature, and coil temperature that best matches the current scenario is found. At this time, the initial control strategy looks up the initial control strategy that matches the corresponding dimension from the database based on the vector values of each optimized particle and the value of the fitness function to complete the preliminary processing of the current temperature control zone.

[0048] The way to update the particle velocity is as follows: ; where represents the number of iterations, indicating the number of iterations under the current particle swarm update; , represent the acceleration constants, used to describe the learning factors for updating the humidity of the current particle swarm; represents the inertia weight, used to control the memory ability of the particle; , represents a random number, which is expressed as a random number between 0 and 1; represents the historical optimal position of the particle, which is expressed as the historical optimal solution obtained for the i-th particle, that is, it represents the optimal value that the input target vector can obtain under the iteration of the i-th particle; represents the global optimal position, which represents the optimal solution that can be obtained among all particles.

[0049] As for the update method of the particle position, it is ; where and respectively represent the particle velocities of the current i-th particle at the (q + 1)-th and q-th iteration times, that is, they represent the direction and magnitude of the change presented after its iteration; and respectively represent the particle positions of the current i-th particle at the q-th and (q + 1)-th iteration times, to represent its value situation, so as to describe whether the temperature data collected from the temperature control zone is relatively uniform and consistent. At this time, the input data will be in the form of a time series or a large number of temperature data sets to verify the particle swarm update. When its particle position, particle velocity, and fitness function reach the optimal after iteration, the initial control strategy queried at the optimal time is used as the content of the adjustment implemented in the current temperature control zone.

[0050] After completing the operation of the multi-objective optimization scenario, the frosting characteristic parameters are queried with the particle values updated by the current input multiple temperature values under the particle swarm optimization algorithm to determine the selected value situation in the current scenario, and then the current theoretical frosting amount is calculated , ; where represents the frosting characteristic parameter, and its value range is generally to , and at this time, the frosting characteristic parameter will search the frosting characteristic parameters stored in its database according to the optimal particle selected after the particle swarm optimization to determine the selected value; represents the ambient temperature, represents the relative humidity, and a capacitive humidity sensor can be used to identify the humidity situation in the corresponding temperature control zone; represents the coil temperature, represents the running time, which represents the running time of the current freezer.

[0051] At this time, it is possible to check whether defrosting operation is required in the current scenario according to the obtained frost accumulation amount. If no defrosting operation is required, the time interval value of the temperature control zone in the previous defrosting operation is adopted, that is, the time interval between the previous defrosting operation and the penultimate defrosting operation, which is regarded as the defrosting time interval. Using the previous defrosting time interval, select the time point corresponding to the time interval to perform the defrosting operation on the corresponding temperature control zone. It should be noted that this defrosting operation tends to estimate the time value when the current temperature control zone can perform the defrosting operation. Then, when approaching this time, it can be executed by judging the frost accumulation amount at this time. Otherwise, continue to adjust the time point for viewing to complete the preliminary control strategy within the temperature control zone.

[0052] In an embodiment of the present invention, when querying the degree of strategy interaction, the number of times that the initial control strategy adjusts to multiple temperature ranges corresponding to the refrigerating chamber and the freezing chamber after implementation is used as the degree of strategy interaction of each temperature control zone. For example, assume that the current temperature range of the freezing chamber is from -24°C to 0°C, and then divide it into multiple temperature ranges in the form of multiple values, such as -18°C, -12°C, -5°C. The range of these temperature ranges can be set according to the width divided in the historical data, and then divided equally or in a dynamic form. At this time, the size and number of the temperature ranges are flexibly set according to the current stored content, and the size is not limited here. Then, according to the number of occurrences in each temperature range, check the temperature adjustment method under the initial control strategy.

[0053] The temperature range of the refrigerating chamber can be set to -9°C to 9°C, and then it is equally divided into three intervals as the current way to describe the degree of strategy interaction.

[0054] As Figure 3 shown, the implementation manner of step S3 includes: S31, using the actual operation time of the initial control strategy in each temperature control zone, obtaining the temperature time series of each temperature control zone, and checking the temperature range value of each temperature control zone.

[0055] S32, traverse the temperature time series, and calculate the residence duration and number of times of each temperature control zone in each temperature range.

[0056] S33, set the degree of strategy interaction of each temperature control zone according to the residence duration and number of times of each temperature control zone in each temperature range.

[0057] The above-mentioned policy interaction degree will describe the temperature change situation in the current temperature control zone based on the conditional probability combined by the residence time and frequency in each temperature range. At the same time, in order to ensure the independence of the obtained temperature value and the regulated policy interaction degree, it is also necessary to check whether there is cold quantity conflict content when the current refrigerator conducts cold quantity regulation in multiple temperature zones, and obtain the policy interaction degree under a specific priority queue as the current output policy interaction degree. At this time, the historical temperature change trajectory of each temperature control zone will be recorded, the residence time and switching frequency in different temperature ranges will be counted, and then a Markov chain or conditional probability matrix will be constructed to represent the possibility of transferring from one temperature state to another; for example, for refrigerator compartment A, in the past 24 hours: 60% of the time is in the range of [3°C, 5°C]; 25% of the time is in the range of [5°C, 7°C]; 15% of the time is in the range of [1°C, 3°C]; this information can be used to evaluate the stability of its temperature behavior and serve as the basic data for policy interaction. Then, check the temperature adjustment ratio required for each temperature control zone under the current policy interaction to respond to the execution method in the scenario where there is cold quantity conflict or the total adjusted cold quantity is greater than the producible cold quantity in each temperature control zone. At this time, the obtained policy interaction degree will show the interaction content of different zones under temperature change conditions.

[0058] That is, the implementation method of traversing the initial control policy in step S3 also includes: according to the temperature value, target temperature value and storage item priority of the current temperature control zone, check the execution allocation ratio of the initial control policy; the storage item priority described here can be directly queried through the database corresponding to the refrigerator. For example, the priority of storing drugs in the refrigerator is higher than that of food. At this time, a priority will be set for the items that can be stored in the refrigerator to facilitate traversing the proportion value that each temperature control zone needs to adjust when the initial control policy allocates relevant cold quantity and temperature. This proportion value is regarded as the execution allocation ratio. The execution allocation ratio will represent the proportion value of the temperature deviation between the temperature value and the target temperature value in the current temperature control zone accounting for the total temperature deviation, which represents the current temperature adjustment ratio situation. As for the execution allocation ratio, the storage item priority can also be used as a weight, and the weighted value of the temperature deviation divided by the weighted sum of all temperature deviations is used as the execution allocation ratio to illustrate the relative situation that needs to be processed currently.

[0059] Judge the policy exchange degree of each temperature control zone under the execution allocation ratio, and conduct cold quantity conflict detection on each temperature control zone to adjust the execution order of the initial control policy according to the interaction degree of each temperature control zone after detection.

[0060] At this time, assume that j1 and j2 are the numbers of a group of temperature control zones being processed currently, then their interaction degree can be expressed as follows.

[0061] ; where, It represents the interaction probability between the temperature control zones j1 and j2. It represents the conditional probability value indicating the degree of policy interaction, which represents the conditional probability value of the residence duration and times of the current temperature control zones j1 and j2 in the corresponding temperature ranges. It represents the cold quantity conflict probability, which is the ratio of the difference in the temperature deviation that needs to be adjusted between the current temperature control zones j1 and j2 to the maximum difference in temperature deviation. It represents the conditional probability value of the current temperature control zones j1 and j2 regarding the execution allocation ratio. This value represents the relative correlation between the two zones in adjusting the temperature and the priority of stored items, that is, using the execution allocation ratio of the two temperature control zones as the condition to obtain its conditional probability value. It represents the balance coefficient, which is used to balance the conflict between the historical behavior represented by the degree of policy interaction and the cold quantity distribution. Its value range is generally between 0.5 and 0.8. When judging the execution order of the initial control policy at this time, it will be described based on the interaction degree affected by its degree of policy interaction and the conditional probability value of the execution allocation ratio. For example, when the interaction degree calculated based on the conditional probability from j1 to j2 is greater than the interaction degree calculated based on the conditional probability from j2 to j1, the initial control policy is implemented in the order from j1 to j2, otherwise vice versa. In this way, after traversing the preliminary control policy and its execution order, the obtained degree of policy interaction will be more biased towards the part where the two temperature zones jointly adjust the temperature and change, so as to improve the availability and sustainability of resources under temperature control and regulation in the two temperature zones.

[0062] Preferably, the implementation method of adjusting the execution order of the initial control policy further includes: storing the execution order of the initial control policy and the degree of policy interaction as a specified label, and comparing the specified label with each preset specified label stored in the database to extract the difference conditions of each temperature control zone. At this time, according to the relative order when the initial control policy is executed, the degree of policy interaction and the execution order included in the initial control policy are set as a specified label, and then by looking at the preset specified labels for different temperature control ranges in the database, find the differences in temperature, wind speed, etc. at the current position under the same or similar order and degree of policy interaction, and use them as the difference conditions for subsequent processing.

[0063] In an embodiment of the present invention, the phase difference conditions viewed in step S4 include parameters such as temperature difference, target temperature difference, priority difference of stored items, probability value difference of policy interaction degree, etc.; for example, the temperature deviation between the refrigerated area and the frozen area, the priority of stored items, the probability value difference of the interaction degree, etc. At this time, the duration of executing the control strategy under specific phase difference conditions for each temperature control zone is identified to determine the specific processing conditions of the current temperature control zone in modes such as fast response mode, energy-saving maintenance mode, conflict coordination mode, etc. Then, the weighted sum of the execution time lengths in multiple modes is used as the time length used by the current strategy.

[0064] As Figure 4 shown, the implementation method of step S4 includes: S41, using the phase difference conditions and execution time length values of each temperature control zone for rule mapping, and expressing the characteristics of the current temperature control zone according to the mode type corresponding to each phase difference condition during mapping.

[0065] For example, after mapping the temperature difference and the time length under the temperature difference, it is found that the compressor needs to be started immediately to cool the relevant position; then, after mapping the target temperature difference and the corresponding time length, it is found that the temperature of a certain position needs to be adjusted, such as increasing the temperature of the refrigerated area to reduce its cooling capacity, etc. The differences between the identified and expected target temperatures and expected working conditions at this time are output to combine the control adjustment mode of the current temperature control zone.

[0066] S42. Based on the characteristic expressions of each temperature control zone, weights are set for each difference condition. The sum of the weights of the execution time length values under the difference conditions is used as the comprehensive control time. Based on the value of the comprehensive control time, the control adjustment mode of each temperature control zone is determined. Here, the execution time length values in different modes, such as rapid cooling, energy-saving mode, and balance mode, are used as parameters; the sum of the weights of this parameter is used as the comprehensive control time of each temperature control zone to complete the setting of its control adjustment mode. Then, according to the comprehensive control time, decide whether to turn on / off the compressor, adjust the damper opening, adjust the fan speed, etc. If the comprehensive control time is long, increase the refrigeration capacity to adjust the temperature of the current temperature control zone; if it is short, reduce the energy consumption output and process the temperature control zone in a stable and small-fluctuation manner. Then, the data corresponding to these processing methods is used as the output control adjustment mode to achieve the dynamic optimization control of the two-temperature-zone temperature control zones. When selecting the control adjustment mode according to the comprehensive control time zone, the initial control strategy existing in the database is mapped according to the value of the current strategy interaction degree, and then multiple control methods corresponding to the current difference condition are found from these mapped strategies. Then, based on the length value of the current comprehensive control time, the control adjustment method that meets the current situation is found from the multiple control methods. At this time, the difference condition and the value condition of the control time length are set at the preset initial control strategy and other contents in the database, which is convenient for screening out the control adjustment method to be used at this time.

[0067] In an embodiment of the present invention, when identifying the resource matching degree, this method is to view the devices involved in the control adjustment mode and determine the subsequent required method according to the usage method of its devices. This resource matching degree is different from the cold quantity conflict probability mentioned above. The resource matching degree is more inclined to describe the matching degree between this strategy and the corresponding devices in the current cold cabinet during implementation, such as whether the device capabilities are sufficient to meet the strategy requirements, such as compressor power, fan speed, damper opening, etc.; whether the device performance parameters are compatible with the strategy goals, such as response time, energy efficiency ratio, adjustment accuracy, etc.; the coordination of multi-device collaborative work, such as the linkage efficiency between the compressor and the fan; describe these related contents and find out whether it can be finally realized to describe the strategy usage method under each temperature control zone.

[0068] For example, use the Euclidean distance to compare multiple values involved in the control adjustment mode with the available values on each temperature control zone, combine them into a matching degree, and use the value obtained by weighted calculation with the Euclidean distance as its resource matching degree to illustrate whether the current temperature control zone is available. At this time, all the calculated values need to be normalized to eliminate their dimensions, and the sum obtained by weighting with the Euclidean distance is used as the resource matching degree used at this time. As for the set weight, the ratio of the frequency of occurrence of multiple values involved in the control adjustment mode in the historical data to all frequencies can be used.

[0069] As shown Figure 5 In addition, the implementation of step S5 further includes: S51, performing resource matching between the control adjustment mode and each temperature control zone in a cross-combination manner to combine at least one matching pair.

[0070] S52, obtaining the resource matching degree corresponding to each matching pair according to the frequency of the matching pair in the historical data, performing fuzzy clustering processing based on the resource matching degrees of each matching pair, and using the largest clustering cluster after clustering as the adjusted control strategy.

[0071] At this time, relevant values such as the temperature value, wind speed, and cooling rate that need to be adjusted in the control adjustment mode will be matched to check whether the freezing zone and refrigerating zone in the current refrigerator can reach the values in the current strategy during adjustment. Taking the freezing zone as an example, its available values can include: the rated value of the available compressor power and the current load rate, the minimum and maximum values of the fan speed range, and the current opening and the maximum adjustment step of the air damper opening. At this time, when calculating the matching degree, the temperature value, wind speed, and cooling rate in the control adjustment mode will be converted into the same representation form as the temperature control zone, indicating the required values of the available compressor power, fan speed range, and air damper opening at the corresponding temperature, wind speed, and cooling rate. Then, the Euclidean distance is calculated in a normalized form. If the three values are all in one matching pair, weighted summation is performed. If not, the Euclidean distances are calculated separately and then weighted to represent the calculation results for each content. After that, through fuzzy clustering, the matching pairs with a resource matching degree greater than 0.8 are clustered, and then the largest clustering cluster is selected as the finally output control strategy to make the adopted strategy conform to the current implementation scenario.

[0072] The present invention also provides a refrigerator, including: a processor, a memory, and a temperature control program stored on the memory and executable on the processor. When the temperature control program is executed by the processor, it is used to implement any step of the above-mentioned temperature control method for a dual-temperature zone refrigerator and realize the following functions: obtaining the temperature values and target temperature values of each temperature control zone, and setting the state vectors of each temperature control zone; determining the initial control strategy of each temperature control zone according to the state vectors of each temperature control zone and the air circulation situation in the temperature control zone; traversing the initial control strategy according to the actual running time of the initial control strategy to check the strategy interaction degree of each temperature control zone; extracting the difference conditions of each temperature control zone under the strategy interaction degree, and identifying the control adjustment mode of the current temperature control zone according to the execution time length value under the difference conditions; based on the target adjustment temperature of the control adjustment mode, checking the resource matching degree of each temperature control zone, and outputting the adjusted control strategy corresponding to each temperature control zone according to the resource matching degree.

[0073] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention, and still be covered by the protection scope of the present invention.

Claims

1. A temperature control method for a dual-temperature zone freezer, characterized in that, Including: S1. Obtain the temperature values and target temperature values of each temperature control zone, and set the state vectors of each temperature control zone; S2. According to the state vectors of each temperature control zone and the air circulation conditions within the temperature control zone, determine the initial control strategies for each temperature control zone; S3. Traverse the initial control strategies based on the actual running time of the initial control strategies, and check the degree of strategy interaction of each temperature control zone; S4. Extract the difference conditions of each temperature control zone under the degree of strategy interaction, and identify the control adjustment mode of the current temperature control zone based on the execution time length value under the difference conditions; S5. Based on the target adjustment temperature of the control adjustment mode, check the resource matching degree of each temperature control zone, and output the adjusted control strategies corresponding to each temperature control zone according to the resource matching degree.

2. The temperature control method of a dual-temperature zone freezer according to claim 1, characterized in that, The implementation method of step S1 further includes: S11. Check the temperature value of the current temperature control zone, and determine whether the temperature value of the current temperature control zone is less than the first preset temperature threshold. If it is less than the first preset temperature threshold, then based on the temperature value of the current temperature control zone, adapt the current temperature control zone to the storage space size and stored items, and set the target temperature value; S12. If it is greater than the first preset temperature threshold, then obtain the temperature deviation between the current temperature value and the first preset temperature threshold, detect the temperature change rate of the temperature deviation in each temperature control zone, and determine the temperature mode of the current temperature control zone according to the temperature change rate, and set the target temperature value according to the temperature mode of the current temperature control zone.

3. A temperature control method for a dual-temperature zone freezer according to claim 1, characterized in that The implementation method of step S2 includes: S21. Based on the state vectors of each temperature control zone, check the temperature change conditions of the corresponding temperature control zone; S22. Obtain the temperature mode of the current freezer according to the temperature change conditions of the temperature control zone; S23. Determine whether the temperature mode of the current freezer meets the defrosting condition. If it meets, determine the temperature adjustment information of the current temperature control zone based on the target temperature value in the current temperature mode, and use the temperature adjustment information as the initial control strategy of the current temperature control zone; if it does not meet, obtain the previous defrosting time interval of the current temperature control zone, and set the initial control strategy of the current temperature control zone with the defrosting time interval.

4. A temperature control method for a dual-temperature zone freezer according to claim 3, characterized in that, The implementation method of step S23 further includes: Check the ambient temperature and coil temperature of the current freezer, use the temperature value, ambient temperature and coil temperature of the current temperature control zone as simulation conditions, describe the air flow field of each temperature zone in the current freezer, and calculate the theoretical frost formation amount in the current temperature control zone based on the frost formation characteristic parameters of the air flow field in the multi-objective optimization scenario, and determine whether the theoretical frost formation amount meets the defrosting condition. If it meets, perform defrosting operation on the current temperature control zone.

5. A temperature control method for a dual-temperature zone freezer according to claim 1, characterized in that, The implementation method of step S3 includes: S31. Utilize the actual running time of the initial control strategy in each temperature control zone to obtain the temperature time series of each temperature control zone, and check the temperature range value of each temperature control zone; S32. Traverse the temperature time series, and calculate the residence duration and times of each temperature control zone in each temperature range; S33. Set the degree of strategy interaction of each temperature control zone based on the residence duration and times of each temperature control zone in each temperature range.

6. A temperature control method for a dual-temperature zone freezer according to claim 5, characterized in that, The implementation method of traversing the initial control strategy in step S3 further includes: Check the execution allocation ratio of the initial control strategy based on the temperature value of the current temperature control zone, the target temperature value, and the priority of the stored items; Determine the degree of strategy exchange of each temperature control zone under the execution allocation ratio, and perform cooling conflict detection on each temperature control zone to detect the degree of interaction between each temperature control zone and adjust the execution order of the initial control strategy.

7. A temperature control method for a dual-temperature zone freezer according to claim 6, characterized in that, The implementation method of adjusting the execution order of the initial control strategy also includes: The execution order and strategy interaction degree of the initial control strategy are stored as designated tags, and the designated tags are compared with the preset designated tags stored in the database to extract the phase difference conditions of each temperature control zone.

8. A temperature control method for a dual-temperature zone freezer according to claim 1, characterized in that, The implementation of step S4 includes: S41, performing rule mapping using the phase difference conditions and execution time length values of each temperature control zone, and characterizing the current temperature control zone using the pattern type corresponding to each phase difference condition during mapping; S42, based on the characteristic description of each temperature control zone, set a weight for each phase difference condition, use the sum of the weights of the execution time length values under the phase difference conditions as the comprehensive control time, and determine the control adjustment mode of each temperature control zone based on the value of the comprehensive control time.

9. A temperature control method for a dual-temperature zone freezer according to claim 1, characterized in that, The implementation of step S5 further includes: S51, matching the control adjustment mode with each temperature control zone in a cross-combination manner to form at least one matching pair; S52: Calculate the resource matching degree of each matching pair based on the frequency of the matching pairs in the historical data, perform fuzzy clustering based on the resource matching degree of each matching pair, and use the largest cluster after clustering as the adjusted control strategy.

10. A freezer, characterized in that, include: A processor, a memory, and a temperature control program stored in the memory and executable on the processor, wherein when the temperature control program is executed by the processor, the steps of the temperature control method for a dual-temperature zone refrigerator are implemented.

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