Refrigeration apparatus, control method therefor, controller and storage medium

Abstract

This application discloses a refrigeration device and its control method, controller, and storage medium, relating to the field of refrigeration equipment technology. The method includes: for each temperature sensor, acquiring a first temperature parameter of the compartment before the door is opened and a second temperature parameter after the door is closed; determining temperature rise data based on the first and second temperature parameters; obtaining a multidimensional temperature rise matrix based on multiple temperature rise data, and calculating reference values ​​for all temperature rise data in the multidimensional temperature rise matrix; for each temperature rise data in the multidimensional temperature rise matrix, calculating the difference between the temperature rise data and adjacent temperature rise data to obtain a target difference value; determining target temperature rise data based on the temperature rise data, reference values, and target difference value; determining the location area of ​​the target food item based on the target temperature rise data, and adjusting the air guide to direct airflow to the location area through the air outlet. This application embodiment can improve the cooling speed of the refrigeration device and reduce its operating power consumption.

Description

Technical Field

[0001] This application relates to the field of refrigeration equipment technology, and in particular to a refrigeration device and its control method, controller and storage medium. Background Technology

[0002] Currently, existing refrigerators cool down the entire refrigeration system of the compartment when warm food is placed inside, failing to focus on the specific area where the food is placed. This results in a slow temperature drop for the food and increases the refrigerator's power consumption. During normal operation, temperature differences exist between different areas of the refrigerator, which reduces the food's freshness and leads to a poor user experience. Summary of the Invention

[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a refrigeration device and its control method, controller, and storage medium, which aims to accurately locate food ingredients and control the airflow direction of the corresponding air outlet, thereby improving the cooling speed of the refrigeration device and reducing the operating power consumption of the refrigeration device.

[0004] In a first aspect, embodiments of this application provide a control method for a refrigeration device, the refrigeration device including a compartment, an air guide, and multiple temperature sensors, the compartment being used to place food and having an air outlet, the air guide being disposed at the air outlet, and the temperature sensors being used to acquire the temperature of the compartment; the method includes: For each of the temperature sensors, the first temperature parameter of the room before the door is opened and the second temperature parameter after the door is closed are obtained, and the temperature rise data is determined based on the first temperature parameter and the second temperature parameter. A multidimensional temperature rise matrix is ​​obtained based on multiple temperature rise data, and reference values ​​for all temperature rise data in the multidimensional temperature rise matrix are calculated. For each temperature rise data in the multidimensional temperature rise matrix, the difference between the temperature rise data and the adjacent temperature rise data is calculated to obtain the target difference. The target temperature rise data is determined based on the temperature rise data, the reference value, and the target difference. Based on the target temperature rise data, determine the location area of ​​the target food ingredient, and adjust the air guide to allow the air outlet to deliver air to the location area.

[0005] According to some embodiments of this application, obtaining a multidimensional temperature rise matrix based on multiple temperature rise data includes one of the following: Based on the multiple temperature rise data and preset weights, a multidimensional temperature rise matrix is ​​obtained; The positions of the multiple temperature rise data are arranged to obtain a multidimensional temperature rise matrix.

[0006] According to some embodiments of this application, obtaining a multidimensional temperature rise matrix based on multiple temperature rise data and preset weights includes: The multiple temperature rise data and preset weights are filtered to obtain multiple filtered temperature rise data to obtain a multidimensional temperature rise matrix.

[0007] According to some embodiments of this application, when the temperature rise data includes first temperature rise data and second temperature rise data; filtering is performed on multiple temperature rise data and preset weights to obtain multiple filtered temperature rise data to obtain a multidimensional temperature rise matrix, including: The first temperature rise data, the second temperature rise data, the first weighting coefficient, and the second weighting coefficient are weighted to obtain the filtered second temperature rise data. The first temperature rise data is determined by the second temperature parameter at the first moment after the door is closed and the first temperature parameter before the door is opened. The second temperature rise data is determined by the second temperature parameter at the second moment after the door is closed and the first temperature parameter before the door is opened. Based on the filtered second temperature rise data, a multidimensional temperature rise matrix is ​​obtained.

[0008] According to some embodiments of this application, the method for obtaining a multidimensional temperature rise matrix based on the filtered second temperature rise data includes: Based on the edge values ​​of the filtered second temperature rise data, the filtered second temperature rise data is filled outward with the target number of revolutions to obtain the filled second temperature rise data. The filled second temperature rise data is convolved according to a preset weight matrix to obtain the convolved second temperature rise data, wherein the preset weight of the middle region of the preset weight matrix is ​​greater than the preset weight of the edge region of the preset weight matrix. Based on the second temperature rise data after convolution, a multidimensional temperature rise matrix is ​​obtained.

[0009] According to some embodiments of this application, arranging the positions of the plurality of temperature rise data to obtain a multidimensional temperature rise matrix includes one of the following: The multiple temperature rise data are arranged according to the row and column positions of the multiple temperature sensors to obtain a two-dimensional temperature rise matrix; The multiple temperature rise data are arranged according to the regional, row, and column positions of the multiple temperature sensors to obtain a three-dimensional temperature rise matrix.

[0010] According to some embodiments of this application, determining the location region of the target food ingredient based on the target temperature rise data includes: The target point in the field of view of the corresponding target temperature sensor is determined based on the target temperature rise data. The location of the target ingredient is determined based on the target point.

[0011] According to some embodiments of this application, the compartment includes at least a first compartment and a second compartment, wherein the first compartment includes at least a first region and a second region, and adjusting the air guide to supply air to the location region via the air outlet includes: Once the location of the target ingredient is determined to be the first area, the air guide is adjusted so that the air outlet delivers air to the first area; When the location of the target ingredient is determined to be the first area and the second area, the air guide is adjusted so that the air outlet sweeps and delivers air to the first area and the second area.

[0012] According to some embodiments of this application, the refrigeration equipment further includes a fan and a compressor; after determining the location area of ​​the target food ingredient based on the target temperature rise data, it further includes: The operating status of the fan and the compressor is determined based on the temperature rise data and the preset temperature rise data.

[0013] According to some embodiments of this application, determining the operating state of the fan and the compressor based on the temperature rise data and preset temperature rise data includes: When the temperature rise data is greater than the preset temperature rise data, the operating state of the fan and compressor is determined to be rapid cooling mode; When the temperature rise data is less than or equal to the preset temperature rise data, the working state of the fan and the compressor is determined to be the normal working mode.

[0014] According to some embodiments of this application, after adjusting the air guide to deliver air from the air outlet to the location area, the method further includes: Acquire temperature fluctuation data for each area of ​​the room; When the temperature fluctuation data exceeds the preset temperature fluctuation threshold, the target area is determined and the air guide is adjusted so that the air outlet delivers air to the target area; Until the temperature fluctuation data is less than or equal to a preset temperature fluctuation threshold, the air guide is adjusted so that the air outlet stops supplying air to the target area.

[0015] According to some embodiments of this application, the refrigeration equipment further includes a fan and a compressor; after acquiring the temperature fluctuation data of each area of ​​the room, it further includes: The operating status of the fan and the compressor is determined based on the temperature fluctuation data and the preset temperature fluctuation threshold.

[0016] According to some embodiments of this application, determining the operating status of the fan and the compressor based on the temperature fluctuation data and a preset temperature fluctuation threshold includes: When the temperature fluctuation data exceeds the preset temperature fluctuation threshold, the operating state of the fan and compressor is determined to be rapid cooling mode; When the temperature fluctuation data is less than or equal to the preset temperature fluctuation threshold, the working state of the fan and the compressor is determined to be the normal working mode.

[0017] Secondly, embodiments of this application provide a refrigeration device, including: The room is used to store food and is equipped with air vents; An air guide is provided at the air outlet; Multiple temperature sensors are used to acquire the temperature of the compartment; The controller is configured to acquire, for each of the temperature sensors, a first temperature parameter of the compartment before the door is opened and a second temperature parameter after the door is closed; determine temperature rise data based on the first and second temperature parameters; obtain a multidimensional temperature rise matrix based on multiple temperature rise data, and calculate reference values ​​for all temperature rise data in the multidimensional temperature rise matrix; for each temperature rise data in the multidimensional temperature rise matrix, calculate the difference between the temperature rise data and adjacent temperature rise data to obtain a target difference value; determine target temperature rise data based on the temperature rise data, the reference value, and the target difference value; determine the location area of ​​the target food ingredient based on the target temperature rise data, and adjust the air guide to allow the air outlet to deliver air to the location area.

[0018] According to some embodiments of this application, the temperature sensor includes an array temperature sensor and multiple single-point temperature sensors. The array temperature sensor is disposed on the flip beam of the door of the refrigeration equipment, and the single-point temperature sensors are disposed on the flip beam of the door of the refrigeration equipment or on the side wall of the cabinet of the refrigeration equipment.

[0019] Thirdly, embodiments of this application provide a controller, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the control method for the refrigeration device described in the first aspect when running the computer program.

[0020] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions for performing the control method of the refrigeration device as described in the first aspect above.

[0021] Fifthly, embodiments of this application provide a computer program product, including a computer program or computer instructions, characterized in that the computer program or computer instructions are stored in a computer-readable storage medium, a processor of a computer device reads the computer program or computer instructions from the computer-readable storage medium, and the processor executes the computer program or computer instructions, causing the computer device to perform the control method of the refrigeration device as described in the first aspect above.

[0022] According to the technical solution of the embodiments of this application, at least the following beneficial effects are achieved: The control method of the refrigeration equipment of this application, for each of the temperature sensors, acquires a first temperature parameter of the compartment before the door is opened and a second temperature parameter after the door is closed, and determines temperature rise data based on the first temperature parameter and the second temperature parameter; arranges the positions of multiple temperature rise data to obtain a multidimensional temperature rise matrix, and calculates reference values ​​for all the temperature rise data in the multidimensional temperature rise matrix; for each temperature rise data in the multidimensional temperature rise matrix, calculates the difference between the temperature rise data and the adjacent temperature rise data to obtain a target difference value; determines target temperature rise data based on the temperature rise data, the reference value, and the target difference value; determines the location area of ​​the target food based on the target temperature rise data, and adjusts the air guide to allow the air outlet to deliver air to the location area. It accurately judges the act of putting food in and locates the area where the food is placed. Based on the location of the target food, it controls the air outlet guide vanes to precisely direct the cooling airflow to the area where the target food is located. This can significantly accelerate the cooling rate of warm food and significantly improve cooling efficiency. It only cools the area where the target food is located, without consuming additional cooling energy to cool areas without food, effectively reducing the waste of cooling energy. While improving cooling efficiency, it significantly reduces the refrigerator's operating power consumption. Attached Figure Description

[0023] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0024] Figure 1 This is a schematic diagram of the position of the array temperature sensor on the flip beam when the door is closed, according to one embodiment of this application. Figure 2 This is a schematic diagram of the position of the array temperature sensor on the flip beam when the door is opened, according to one embodiment of this application; Figure 3 This is a schematic diagram of the position of a single-point temperature sensor on the flip beam when the door is closed, according to one embodiment of this application. Figure 4This is a schematic diagram of the position of a single-point temperature sensor on the flip beam when the door is opened, according to one embodiment of this application. Figure 5 This is a front view of a single-point temperature sensor provided in one embodiment of this application, disposed on the side wall of the enclosure; Figure 6 This is a left view of a single-point temperature sensor provided in one embodiment of this application, which is disposed on the side wall of the enclosure; Figure 7 This is a right view of a single-point temperature sensor provided in one embodiment of this application, which is disposed on the side wall of the enclosure; Figure 8 This is a front view of a contact temperature sensor provided in one embodiment of this application, disposed on the side wall of a housing; Figure 9 This is a left view of a contact temperature sensor provided in one embodiment of this application, disposed on the side wall of the housing; Figure 10 This is a right view of a contact temperature sensor provided in one embodiment of this application, disposed on the side wall of the housing; Figure 11 This is a flowchart of a control method for a refrigeration device provided in one embodiment of this application; Figure 12 This is a flowchart illustrating the process of obtaining a multidimensional temperature rise matrix according to an embodiment of this application; Figure 13 This is a flowchart of a weighted processing method provided in one embodiment of this application; Figure 14 This is a flowchart of convolution processing provided in one embodiment of this application; Figure 15 This is a flowchart of obtaining a multidimensional temperature rise matrix provided in another embodiment of this application; Figure 16 This is a flowchart illustrating the process of determining the location area of ​​a target ingredient according to an embodiment of this application; Figure 17 This is a flowchart of an adjustable air guide provided in one embodiment of this application; Figure 18 This is a flowchart illustrating the determination of the operating status of a fan and a compressor, provided in one embodiment of this application. Figure 19 This is a flowchart illustrating the process of adjusting the air guide to deliver air to a location area according to an embodiment of this application; Figure 20 This is a flowchart illustrating the determination of the operating status of the fan and compressor based on temperature fluctuation data, provided in one embodiment of this application. Figure 21 This is an overall flowchart of a control method for a refrigeration device provided in one embodiment of this application; Figure 22This is a schematic diagram of a controller for performing a control method for a refrigeration device according to an embodiment of this application. Detailed Implementation

[0025] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0026] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0027] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0028] In the description of this application, unless otherwise expressly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0029] In some cases, existing refrigerators cool the entire compartment of the refrigerator when placing warm food in it, failing to focus the temperature on the specific area where the food is placed. This results in a slow temperature drop for the food and increases the refrigerator's power consumption. During normal operation, temperature differences exist between different areas of the refrigerator, which reduces the food's freshness and leads to a poor user experience.

[0030] The various embodiments of the refrigeration equipment of this application will be further described below with reference to the accompanying drawings.

[0031] In one embodiment, the refrigeration device includes a compartment, an air guide, and multiple temperature sensors. The compartment is used to place food and is provided with an air outlet. The air guide is disposed at the air outlet, and the temperature sensors are used to obtain the temperature of the compartment.

[0032] It should be noted that the refrigeration equipment includes an air guide and at least one air outlet. The air guide can control the airflow direction of the air outlet. Alternatively, the refrigeration equipment includes multiple air guides and multiple air outlets. The air guides can cover or open the air outlets, so that the corresponding air outlet can be selected to be turned on or off in the corresponding area.

[0033] It should be noted that the air guides are embedded within the air outlets, and each refrigerated area has air guides on both the left and right sides. In normal operating mode, the air guides are perpendicular to the air outlets by default.

[0034] In one embodiment, the temperature sensor includes an array temperature sensor and multiple single-point temperature sensors. The array temperature sensor is disposed on the flip beam of the door of the refrigeration equipment, and the single-point temperature sensors are disposed on the flip beam of the door of the refrigeration equipment or on the side wall of the cabinet of the refrigeration equipment.

[0035] like Figure 1 and Figure 2 As shown, Figure 1 This is a schematic diagram of the position of the array temperature sensor on the flip beam when the door is closed, according to one embodiment of this application. Figure 2 This is a schematic diagram of the position of the array temperature sensor on the flip beam when the door is opened, according to one embodiment of this application.

[0036] It should be noted that the array temperature sensor 120 can achieve temperature monitoring in multiple areas and precise positioning of food items using a single sensor. The sensor is installed on the flip beam 110, directly opposite the lower compartment shelf, enabling temperature monitoring of the lower two storage compartments. When monitoring the temperature of the entire compartment space is required, additional sensors can be added at appropriate locations.

[0037] It should be noted that the array sensor is installed in the area of ​​the compartment tilting beam 110 of the refrigeration unit directly opposite the lower shelf. The sensor's field of view is 110°*110°, which can cover the two lower storage spaces of the refrigeration unit's compartment. If coverage of the entire compartment space is required, a 110°*75° infrared array sensor or two 60°*60° infrared sensors can be installed above the tilting beam 110. The selection of the sensor and its installation position on the tilting beam 110 are related to the specific refrigerator size, and this embodiment does not impose specific limitations.

[0038] like Figure 3 and Figure 4 As shown, Figure 3 This is a schematic diagram of the position of a single-point temperature sensor on the flip beam when the door is closed, according to one embodiment of this application. Figure 4 This is a schematic diagram of the position of a single-point temperature sensor on the flip beam when the door is opened, according to one embodiment of this application.

[0039] It should be noted that the single-point temperature sensor 130 uses multiple sensors to achieve temperature detection in multiple areas and precise positioning of food. Multiple sensors are deployed on the flip beam 110 at the geometric center of each storage space to monitor the temperature of the entire refrigeration space.

[0040] Figure 5 This is a front view of a single-point temperature sensor provided in one embodiment of this application, disposed on the side wall of the enclosure; Figure 6 This is a left view of a single-point temperature sensor provided in one embodiment of this application, which is disposed on the side wall of the enclosure; Figure 7 This is a right view of a single-point temperature sensor provided in one embodiment of this application, which is disposed on the side wall of the enclosure.

[0041] It should be noted that by deploying one or more infrared temperature sensors at the geometric center of the left and right side walls of each storage space, the temperature of the entire cold storage space can be monitored.

[0042] Figure 8 This is a front view of a contact temperature sensor provided in one embodiment of this application, disposed on the side wall of a housing; Figure 9 This is a left view of a contact temperature sensor provided in one embodiment of this application, disposed on the side wall of the housing; Figure 10 This is a right view of a contact temperature sensor provided in one embodiment of this application, disposed on the side wall of the enclosure.

[0043] It should be noted that for the contact temperature sensor 140, multiple contact temperature sensors can be deployed at the geometric center of the left and right side walls of each compartment to achieve temperature detection of the entire cold storage space.

[0044] Based on the hardware structure of the refrigeration equipment in the above embodiments, the following presents various embodiments of the control method of the refrigeration equipment of this application.

[0045] like Figure 11 As shown, Figure 11 This is a flowchart of a control method for a refrigeration device provided in one embodiment of this application; the control method for the refrigeration device may include, but is not limited to, steps S1110 to S1150.

[0046] Step S1110: For each temperature sensor, acquire the first temperature parameter of the room before the door is opened and the second temperature parameter after the door is closed, and determine the temperature rise data based on the first temperature parameter and the second temperature parameter. Step S1120: Obtain a multidimensional temperature rise matrix based on multiple temperature rise data, and calculate the reference values ​​of all temperature rise data in the multidimensional temperature rise matrix; Step S1130: For each temperature rise data in the multidimensional temperature rise matrix, calculate the difference between the temperature rise data and the adjacent temperature rise data to obtain the target difference. Step S1140: Determine the target temperature rise data based on the temperature rise data, reference value, and target difference; Step S1150: Determine the location area of ​​the target food ingredient based on the target temperature rise data, and adjust the air guide to deliver air to the location area through the air outlet.

[0047] In one embodiment, for each temperature sensor, a first temperature parameter of the compartment before the door is opened and a second temperature parameter after the door is closed are acquired. Temperature rise data is determined based on the first and second temperature parameters. A multidimensional temperature rise matrix is ​​constructed using multiple temperature rise data points, and reference values ​​for all temperature rise data points in the multidimensional temperature rise matrix are calculated. For each temperature rise data point in the multidimensional temperature rise matrix, a difference calculation is performed between the temperature rise data point and adjacent temperature rise data points to obtain a target difference value. Then, based on the temperature rise data, reference values, and target difference values, target temperature rise data is determined. By constructing a multidimensional temperature rise matrix using multi-point temperature rise data and obtaining reference values ​​for the matrix temperature rise data, combined with the difference calculation between each temperature rise data point and adjacent data points, abnormal temperature rise data caused by environmental interference and sensor errors can be effectively eliminated, and accurate and reliable target temperature rise data can be selected, significantly improving the accuracy and anti-interference capability of food temperature rise feature identification. The location area of ​​the target food is determined based on the target temperature rise data, and the air guide is adjusted to direct airflow to the location area through the air outlet. Based on precise target temperature rise data, the system locates the area where the target food is located and then adjusts the air guides to deliver directional airflow from the vents. This eliminates the need for uniform airflow across the entire refrigerator compartment, enabling precise cooling and airflow in specific zones. This shortens the time it takes for food to cool down and warm up, and the directional airflow mode reduces ineffective cooling loss, lowers the overall energy consumption of the refrigerator, and avoids uneven temperature caused by excessive cooling in non-food areas. This maintains overall temperature stability within the compartment and effectively ensures the freshness of the food.

[0048] like Figure 12 As shown, Figure 12 This is a flowchart of obtaining a multidimensional temperature rise matrix provided in one embodiment of this application; regarding the above step S1120 of obtaining a multidimensional temperature rise matrix based on multiple temperature rise data, the control method of the refrigeration equipment may include, but is not limited to, steps S1210 to S1220.

[0049] Step S1210: Obtain a multidimensional temperature rise matrix based on multiple temperature rise data and preset weights; Step S1220: Arrange the positions of multiple temperature rise data to obtain a multidimensional temperature rise matrix.

[0050] In one embodiment, after obtaining multiple temperature rise data, a multidimensional temperature rise matrix can be calculated based on the multiple temperature rise data and preset weights. This allows for consideration of the differences in the importance of different temperature rise data, weakening the interference of redundant data, strengthening the weight of key temperature rise features, and making the matrix data more consistent with the temperature rise distribution pattern under actual working conditions.

[0051] In one embodiment, multiple temperature rise data can be arranged in positions to obtain a multidimensional temperature rise matrix, which can realize the orderly arrangement of temperature rise data according to spatial and temporal dimensions, and enhance the correlation logic of temperature rise data at each monitoring point and at each time period.

[0052] In one embodiment, multiple temperature rise data and preset weights are filtered to obtain multiple filtered temperature rise data to obtain a multidimensional temperature rise matrix.

[0053] In one embodiment, filtering is performed based on multiple temperature rise data points and preset weights. For an array temperature sensor, the filtering process includes temporal and spatial filtering; for a single-point temperature sensor, the filtering process includes temporal filtering. This effectively filters out random noise, abrupt changes, and measurement errors in the temperature rise data, retaining the true and valid temperature rise change characteristics. Simultaneously, the preset weights differentiate the contribution and importance of different temperature rise data points, mitigating the influence of invalid data.

[0054] like Figure 13 As shown, Figure 13 This is a flowchart of weighted processing provided in one embodiment of this application; when the temperature rise data includes first temperature rise data and second temperature rise data; regarding the above-mentioned filtering processing based on multiple temperature rise data and preset weights to obtain multiple filtered temperature rise data to obtain a multidimensional temperature rise matrix, the control method of the refrigeration equipment may include, but is not limited to, steps S1310 and S1320.

[0055] Step S1310: Weight the first temperature rise data, the second temperature rise data, the first weighting coefficient, and the second weighting coefficient to obtain the filtered second temperature rise data. The first temperature rise data is determined by the second temperature parameter at the first moment after the door is closed and the first temperature parameter before the door is opened. The second temperature rise data is determined by the second temperature parameter at the second moment after the door is closed and the first temperature parameter before the door is opened. Step S1320: Obtain the multidimensional temperature rise matrix based on the filtered second temperature rise data.

[0056] It should be noted that the first weighting coefficient is a time-determined weight, with the first and second temperature rise data points each corresponding to a time-related weight. The second weighting coefficient is determined by the spatial acquisition location of the first and second temperature rise data points. Furthermore, the first temperature rise data is determined by the second temperature parameter at the first moment after the door is closed and the first temperature parameter before the door is opened, while the second temperature rise data is determined by the second temperature parameter at the second moment after the door is closed and the first temperature parameter before the door is opened. The determination time of the first temperature rise data is earlier than that of the second temperature rise data, and therefore, the first weighting coefficient corresponding to the first temperature rise data is less than that corresponding to the second temperature rise data.

[0057] In one embodiment, first target data is obtained by weighting the first temperature rise data, second temperature rise data, and a first weighting coefficient. Then, filtered second temperature rise data is obtained by weighting the first target data and the second weighting coefficient. A multidimensional temperature rise matrix is ​​then obtained based on the filtered second temperature rise data. By using the first and second temperature rise data corresponding to different times before and after the door is closed, combined with the first and second weighting coefficients for weighted fusion filtering, the temporal correlation characteristics of temperature changes before and after the door is opened can be combined to reasonably allocate the influence ratio of temperature rise data at different times. This effectively suppresses random fluctuations, measurement noise, and instantaneous interference in temperature sampling. Weighted correction based on temperature rise data distinguishes the differences in temperature parameter changes at different times after the door is closed, avoiding bias caused by the one-sidedness of temperature rise data at a single time.

[0058] like Figure 14 As shown, Figure 14 This is a flowchart of convolution processing provided in one embodiment of this application; when the temperature rise data includes first temperature rise data and second temperature rise data; regarding the above step S1320, a multidimensional temperature rise matrix is ​​obtained based on the filtered second temperature rise data, and the control method of the refrigeration equipment may include, but is not limited to, steps S1410, S1420 and S1430.

[0059] Step S1410: Based on the edge values ​​of the filtered second temperature rise data, fill the filtered second temperature rise data outward with the target number of revolutions to obtain the filled second temperature rise data; Step S1420: Perform convolution processing on the filled second temperature rise data according to the preset weight matrix to obtain the convolutioned second temperature rise data, wherein the preset weight of the middle region of the preset weight matrix is ​​greater than the preset weight of the edge region of the preset weight matrix. Step S1430: Obtain the multidimensional temperature rise matrix based on the second temperature rise data after convolution.

[0060] In one embodiment, edge values ​​of the filtered second temperature rise data are filled out outward according to the target number of convolutions. This fills in missing edge information in the temperature rise data, avoiding edge data truncation and boundary distortion during subsequent convolution processing. It fully preserves the edge variation characteristics of the temperature rise data, improving data spatial integrity. Using a preset weight matrix with a greater weight for the middle region than the edge region for convolution processing highlights the feature contribution of the effective area of ​​the temperature rise data center, weakens edge redundancy and interference information, and constructs a multi-dimensional temperature rise matrix after dual optimization of edge filling and weighted convolution. This effectively solves the problem of missing temperature rise data boundaries. Simultaneously, it avoids the need for more sensors. The multi-dimensional temperature rise matrix is ​​calculated through the preset weight matrix, making the temperature rise data more comprehensive, thus more accurately locating the air outlet position, improving cooling efficiency, and reducing the refrigerator's operating power consumption.

[0061] It should be noted that during normal operation of the refrigeration equipment, the temperature sensor reads the compartment temperature data T0 every time interval t2, and this data is continuously refreshed over time. When the user puts food into the compartment of the refrigeration equipment and closes the door, the sensor reads the temperature data every time interval t1, and calculates the difference between this reading and the most recent temperature data T0 before the door is opened, obtaining the temperature rise data ΔT. The first n sets of ΔT data are discarded without processing. Starting from the (n+1)th set of temperature rise data ΔTn+1, temporal and spatial filtering is applied. Temporally, multiple different weight values ​​are assigned based on the differences in temperature accuracy in different areas of the sensor. ΔTn+1 and ΔTn are weighted to obtain a new ΔTn+1, where the weight of ΔTn+1 is higher than that of ΔTn. The weight values ​​are related to the accuracy of the sensor; generally, the weight value used for weighting the central area of ​​the sensor is higher than that used for the edge areas. Spatially, the time-filtered ΔTn+1 is first filled with a ring of edge values, and then an m×m weight matrix M is used to convolve each temperature point in ΔTn+1 to obtain a new ΔTn+1. The weight values ​​of matrix M are related to the accuracy of the sensor. Generally speaking, the higher the accuracy of the temperature point, the larger the center weight of the corresponding weight matrix M.

[0062] like Figure 15 As shown, Figure 15 This is a flowchart of obtaining a multidimensional temperature rise matrix provided in another embodiment of this application; regarding the above step S1220 of arranging multiple temperature rise data in position to obtain a multidimensional temperature rise matrix, the control method of the refrigeration equipment may include, but is not limited to, steps S1510 and S1520.

[0063] Step S1510: Arrange multiple temperature rise data according to the row and column positions of multiple temperature sensors to obtain a two-dimensional temperature rise matrix; Step S1520: Arrange multiple temperature rise data according to the regional position, row position and column position of multiple temperature sensors to obtain a three-dimensional temperature rise matrix.

[0064] In one embodiment, multiple temperature rise data are arranged according to the row and column positions of multiple temperature sensors to intuitively present the temperature rise differences and the plane temperature rise gradient change pattern at different row and column points, which facilitates the rapid location of abnormal temperature rise points in the plane; multiple temperature rise data are arranged according to the regional, row and column positions of multiple temperature sensors to realize the three-dimensional mapping of temperature rise data in the spatial dimension, and completely retain the temperature rise correlation information of different partitions and different rows and columns of sensors.

[0065] like Figure 16 As shown, Figure 16 This is a flowchart of determining the location area of ​​the target ingredient according to an embodiment of this application; regarding the above step S1150 of determining the location area of ​​the target ingredient based on the target temperature rise data, the control method of the refrigeration equipment may include, but is not limited to, steps S1610 and S1620.

[0066] Step S1610: Determine the target point in the field of view of the corresponding target temperature sensor based on the target temperature rise data; Step S1620: Determine the location area of ​​the target ingredient based on the target point.

[0067] In one embodiment, for the array temperature sensor, the filtered temperature rise data ΔT is used as the background temperature. The variance of the temperature value of each point is calculated, and the top k non-adjacent temperature points with the largest variance and greater than the mean are selected. If the temperature value of one or more points differs from the temperature value of any adjacent point from a threshold Tth, these points are defined as temperature fluctuation points. When the temperature data read at multiple consecutive time intervals t1 and the temperature rise data of T0 can all be used to determine the same point as a temperature fluctuation point, then the temperature point can be determined to be the point corresponding to the location of the food. By correlating it with the actual spatial location, the specific location of the food in the compartment can be obtained.

[0068] In one embodiment, for a single-point temperature sensor, if the filtered data ΔT is greater than the threshold ΔT3 and the decrease of two adjacent ΔTs is less than the threshold ΔT4, then it is defined as a temperature fluctuation point. If the temperature data read at multiple consecutive time intervals t1 and the temperature rise data at T0 can all be obtained as the same point as the temperature fluctuation point through the above method, then the temperature point can be determined as the point corresponding to the location of the food. By correlating it with the actual spatial location, the specific location of the food in the compartment can be obtained.

[0069] In one embodiment, the temperature rise data detected by the sensors is first used to generate a two-dimensional or three-dimensional matrix according to the actual arrangement of the sensors. Then, based on the actual installation position of the sensors, the sensor data in the rows whose field of view is within the glass shelf frame and below the glass shelf are removed. The temperature rise value of each point in the array is then calculated by subtracting the temperature rise values ​​of its four adjacent points (up, down, left, and right). For edge points, the subtraction is only performed on points existing in the four directions above, below, left, and right. If the temperature rise value of a point is higher than the median of all temperature rise values ​​in the matrix at the current moment, and the maximum difference ΔTmax between it and its adjacent points is greater than a preset value T, then the location of the food is determined to be within the field of view corresponding to the current array point. This location information is then mapped to the actual refrigeration space to obtain the current location of the food in the compartment.

[0070] like Figure 17 As shown, Figure 17 This is a flowchart of adjusting the air guide provided in one embodiment of this application; the compartment includes at least a first compartment and a second compartment, wherein the first compartment includes at least a first area and a second area; regarding the above step S1150 adjusting the air guide to deliver air to the location area through the air outlet, the control method of the refrigeration equipment may include, but is not limited to, steps S1710 and S1720.

[0071] Step S1710: When the location of the target ingredient is determined to be the first area, adjust the air guide to allow the air outlet to deliver air to the first area; Step S1720: When the location of the target ingredient is determined to be the first area and the second area, adjust the air guide to make the air outlet sweep and deliver air to the first area and the second area.

[0072] In one embodiment, when the target food is only located in the first area, the air outlet is directed to deliver concentrated air to the first area by adjusting the air guide, achieving precise cooling and preservation at a specific point. The cold air is concentrated on the area where the food is located, reducing ineffective loss of cold energy, improving local cooling efficiency, and reducing overall energy consumption. When the target food is distributed in both the first and second areas, the air guide is controlled to use a sweeping air delivery mode to cover both areas, achieving uniform air delivery to multiple areas. This ensures that food in different locations receives sufficient and balanced cold air supply, avoiding problems such as large temperature differences and inconsistent preservation effects.

[0073] In one embodiment, after determining the location area of ​​the target food ingredient based on the target temperature rise data, the operating status of the fan and compressor is determined based on the temperature rise data and preset temperature rise data.

[0074] It should be noted that by comparing the actual temperature rise data with the preset temperature rise data, it can accurately match the current cooling capacity demand of the room, adaptively determine the working status of the fan and compressor, and adjust the start / stop, speed or gear as needed according to the actual temperature rise changes, so as to avoid long-term high-frequency no-load operation of the fan and compressor.

[0075] like Figure 18 As shown, Figure 18 This is a flowchart of determining the working state of the fan and compressor according to an embodiment of this application; regarding the above-mentioned determination of the working state of the fan and compressor based on temperature rise data and preset temperature rise data, the control method of the refrigeration equipment may include, but is not limited to, steps S1810 and S1820.

[0076] Step S1810: When the temperature rise data is greater than the preset temperature rise data, determine that the working state of the fan and compressor is the rapid cooling mode; Step S1820: When the temperature rise data is less than or equal to the preset temperature rise data, determine that the working state of the fan and compressor is the normal working mode.

[0077] It should be noted that when the temperature rise exceeds the preset temperature rise threshold, the fan and compressor will automatically switch to rapid cooling mode. This can quickly compensate for the temperature rise, rapidly lower the room temperature, and promptly suppress the continuous rise in temperature, thus preventing excessive temperature rise from affecting the food preservation effect. When the temperature rise is less than or equal to the preset temperature rise, the fan and compressor will maintain normal operating mode. No additional high-load cooling is required, which can maintain a stable and balanced room temperature and reduce the frequent high-power operation of the equipment, effectively reducing energy consumption.

[0078] like Figure 19 As shown, Figure 19 This is a flowchart of the process following the adjustment of the air guide to allow the air outlet to deliver air to the location area, according to one embodiment of this application; after adjusting the air guide to allow the air outlet to deliver air to the location area in step S1150, the control method of the refrigeration equipment may include, but is not limited to, steps S1910 to S1930.

[0079] Step S1910: Obtain temperature fluctuation data for each area of ​​the room; Step S1920: When the temperature fluctuation data is greater than the preset temperature fluctuation threshold, determine the target area and adjust the air guide to make the air outlet deliver air to the target area; Step S1930: Until the temperature fluctuation data is less than or equal to the preset temperature fluctuation threshold, adjust the air guide to stop the air outlet from supplying air to the target area.

[0080] It should be noted that real-time collection of temperature fluctuation data from various areas of the room allows for precise monitoring of temperature changes in each zone, enabling refined and zoned monitoring of room temperature fluctuations and preventing the overall average temperature from masking localized temperature anomalies. When temperature fluctuation data exceeds a preset threshold, the system accurately locates the target area and adjusts the airflow guides to direct airflow specifically to that area. This allows for timely temperature compensation and adjustment in areas with large temperature fluctuations, quickly suppressing temperature fluctuations and reducing temperature differences between areas. Once the temperature fluctuation data returns to within the preset threshold range, the airflow guides are promptly adjusted to stop supplying air to the target area individually, preventing excessive cooling and energy waste, and maintaining a stable and balanced temperature across all areas.

[0081] In one embodiment, after acquiring temperature fluctuation data for each area of ​​the room, the operating status of the fan and compressor is determined based on the temperature fluctuation data and a preset temperature fluctuation threshold.

[0082] It should be noted that by comparing temperature fluctuation data with preset temperature fluctuation thresholds, it can accurately match the current cooling demand of the room, adaptively determine the working status of the fan and compressor, and adjust the start / stop, speed or gear as needed according to the actual temperature rise changes, avoiding long-term high-frequency no-load operation of the fan and compressor.

[0083] like Figure 20 As shown, Figure 20 This is a flowchart of determining the working state of the fan and compressor based on temperature fluctuation data according to one embodiment of this application; regarding the above-mentioned determination of the working state of the fan and compressor based on temperature fluctuation data and preset temperature fluctuation threshold, the control method of the refrigeration equipment may include, but is not limited to, steps S2010 and S2020.

[0084] Step S2010: When the temperature fluctuation data is greater than the preset temperature fluctuation threshold, determine that the working state of the fan and compressor is the rapid cooling mode; Step S2020: When the temperature fluctuation data is less than or equal to the preset temperature fluctuation threshold, determine that the working state of the fan and compressor is the normal working mode.

[0085] It should be noted that when the temperature fluctuation data exceeds the preset temperature fluctuation threshold, the fan and compressor will automatically switch to rapid cooling mode. This can quickly compensate for the temperature rise, rapidly lower the room temperature, and promptly suppress the continuous rise in temperature, thus preventing excessive temperature rise from affecting the food preservation effect. When the temperature fluctuation data is less than or equal to the preset temperature fluctuation threshold, the fan and compressor will maintain normal operating mode. No additional high-load cooling is required, which can maintain a stable and balanced room temperature and reduce the frequent high-power operation of the equipment, effectively reducing energy consumption.

[0086] The overall embodiments of this application are described below.

[0087] When a user places a single food item on a shelf in the refrigerator, a temperature sensor accurately locates the item's position by detecting temperature changes in that area. If the temperature rise at the item's location exceeds a set threshold ΔT0, the sensor directs the oscillators of all air vents on that shelf toward the item's location while simultaneously closing other vents. The system also dynamically adjusts the fan's operating mode based on the temperature rise data to rapidly cool the item. Once the detected temperature rise is less than 0, the fan is turned off, and all air vents return to their normal operating mode.

[0088] When a user places multiple food items on one side of a shelf in the refrigerator compartment, if the food temperature meets the cooling requirements, the air vents on that side will swing back and forth between the locations of the food items. Meanwhile, the air vents on the other side of the same shelf will point towards the nearest heat source, and other air vents will be closed. The fan's operating mode will be dynamically adjusted based on the temperature rise data to rapidly cool the food. If the temperature rise of a heat source on one side is detected to be less than 0, the air vents on that side will be redirected to point towards the heat source on the other side. When the temperature rise of all locations where food items are placed is detected to be less than 0, the fan will be turned off, and all air vents will return to their normal operating mode.

[0089] When a user places multiple food items on both sides of a shelf in the refrigerator compartment, if the food temperature meets the cooling requirements, the louvers on each side will swing back and forth between the locations of the corresponding food items, while other louvers will be closed. The fan's operating mode will be dynamically adjusted based on the temperature rise data to rapidly cool the food. If the temperature rise of a heat source on one side is detected to be less than 0, the louvers on that side will be redirected to the nearest heat source on the other side. When the temperature rise at all locations where food items are placed is detected to be less than 0, the fan will be turned off and all louvers will return to their normal operating mode.

[0090] In normal operating mode, the temperature sensor will detect the temperature of different areas of the refrigerator compartment at regular intervals. When the temperature fluctuation exceeds the set threshold ΔT1, the operating mode of the fan and the direction of the air outlet blades in that area will be adjusted to suppress the temperature change, thereby achieving constant temperature control of the refrigerator.

[0091] like Figure 21 As shown, Figure 21 This is an overall flowchart of a control method for a refrigeration device provided in one embodiment of this application.

[0092] Step S2101: System initialization; Step S2102: Is it working properly? If yes, proceed to step S2103; otherwise, proceed to step S2101. Step S2103: Is the door open? If yes, proceed to step S2104; if no, proceed to step S2110. Step S2104: The sensor stops measuring temperature and saves the latest set of temperature data detected before the door was opened; Step S2105: Is the door closed? If yes, proceed to step S2106; otherwise, proceed to step S2104. Step S2106: The sensor reads the temperature data every interval t1 and calculates the difference between the temperature data and the temperature data saved before the door was opened to obtain the temperature rise data; Step S2107: Determine if any food has been placed into the refrigeration equipment. If yes, proceed to step S2108; otherwise, proceed to step S2106. Step S2108: Locate the area where the food is placed and compare whether the measured temperature rise is greater than the preset temperature rise ΔT0. If yes, proceed to step S2109; otherwise, proceed to step S2107. Step S2109: Adjust the direction of the compressor, fan and air outlet guide, and compare whether the actual temperature rise data measured by the sensor in the current area is less than the preset temperature rise value. If yes, proceed to step S2110; otherwise, proceed to step S2106. Step S2110: The air outlet returns to normal operating status, and the temperature sensor detects the room temperature data every time interval t2; Step S2111: Rapid cooling; Step S2112: Is the temperature fluctuation in a certain area greater than the threshold ΔT1 detected? If yes, proceed to step S2113; otherwise, proceed to step S2110. Step S2113: Adjust the working status of the compressor, fan and air outlet in this area until the temperature fluctuation is less than the threshold △T1; Step S2114: Maintain a constant temperature.

[0093] In summary, the following presents an overall embodiment of the control method for the refrigeration equipment of this application.

[0094] S1. The refrigerator power-on sensor is initialized, the air outlet blades are reset, and the normality of each function is checked. S2. The sensor detects the temperature of the refrigerator compartment in real time. If the refrigerator door is open, proceed to step S3; if it is not open, proceed to step S7. S3. The sensor stops temperature detection and saves the latest set of temperature data detected before the door was opened; S4. After the refrigerator door is closed, the sensor reads the temperature data every time interval t1 and calculates the difference between the temperature data and the temperature data saved before the door was opened to obtain the temperature rise data ΔT. The temperature rise data is used to determine whether any food has been placed in the refrigerator. If food is detected, proceed to step S5; otherwise, proceed to step S7. S5. Locate the area where the food is placed based on the temperature rise data, and compare whether the measured temperature rise value is greater than the preset temperature rise value ΔT0. If it is greater, proceed to step S6; otherwise, proceed to step S7. S6. Adjust the working mode of the fan and the direction of the air outlet blades in the food placement area, while closing other air outlets to quickly cool the food. If the sensor detects that the temperature rise in the current area is less than 0, then execute step S7; otherwise, execute step S4. S7. The fan and air outlet blades return to normal operating status, and the temperature sensor detects the temperature data of the refrigerator compartment every time interval t2; if the temperature fluctuation of a certain area is detected to be greater than the threshold ΔT1 during this period, proceed to step S8. S8. Adjust the working status of the fan and the air outlet in this area until the temperature fluctuation is less than the threshold ΔT1, and then the refrigerator returns to normal working status.

[0095] It should be noted that the detection time t2 should be greater than 10 times t1, and the selection of ΔT0 and ΔT1 should be less than 10% of the set temperature.

[0096] Based on the control methods of the refrigeration equipment in the above embodiments, the following presents various embodiments of the controller, computer-readable storage medium, and computer program product of this application.

[0097] like Figure 22 As shown, Figure 22 This is a schematic diagram of a controller for performing a control method for a refrigeration device according to an embodiment of this application. The controller 2200 implemented in this application includes: a processor 2210, a memory 2220, and a computer program stored in the memory 2220 and executable on the processor 2210, wherein... Figure 22 The example uses a processor 2210 and a memory 2220.

[0098] The processor 2210 and the memory 2220 can be connected via a bus or other means. Figure 22 Taking the example of a connection between China and Israel via a bus.

[0099] Memory 2220, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory 2220 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 2220 may optionally include remotely located memories 2220 relative to processor 2210, which can be connected to controller 2200 via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0100] Those skilled in the art will understand that Figure 22 The device structure shown does not constitute a limitation on the controller 2200 and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0101] exist Figure 22 In the controller 2200 shown, the processor 2210 can be used to call the fast communication program stored in the memory 2220, thereby implementing the control method of the refrigeration device described above. Specifically, the non-transitory software program and instructions required to implement the control method of the refrigeration device in the above embodiment are stored in the memory 2220. When executed by the processor 2210, the control method of the refrigeration device in the above embodiment is executed.

[0102] It is worth noting that, since the controller 2200 of this application embodiment can execute the control method of the refrigeration equipment of any of the above embodiments, the specific implementation method and technical effect of the controller 2200 of this application embodiment can refer to the specific implementation method and technical effect of the control method of the refrigeration equipment of any of the above embodiments.

[0103] Furthermore, one embodiment of this application also provides a computer-readable storage medium storing computer-executable instructions for performing the control method of the refrigeration device described above. Exemplarily, the above-described method is executed... Figures 11 to 21 The methods and steps in the text.

[0104] It is worth noting that, since the computer-readable storage medium of this application embodiment can execute the control method of the refrigeration device of any of the above embodiments, the specific implementation and technical effects of the computer-readable storage medium of this application embodiment can be referred to the specific implementation and technical effects of the control method of the refrigeration device of any of the above embodiments.

[0105] Furthermore, one embodiment of this application also provides a computer program product, including a computer program or computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer program or computer instructions from the computer-readable storage medium and executes the computer program or computer instructions, causing the computer device to perform the aforementioned control method for the refrigeration device. Exemplarily, the above-described method is performed... Figures 11 to 21 The methods and steps in the text.

[0106] It is worth noting that, since the computer program product of this application embodiment can execute the control method of the refrigeration equipment of any of the above embodiments, the specific implementation method and technical effect of the computer program product of this application embodiment can refer to the specific implementation method and technical effect of the control method of the refrigeration equipment of any of the above embodiments.

[0107] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically include computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0108] The above provides a detailed description of the preferred embodiments of this application. However, this application is not limited to the above-described embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application. All such equivalent modifications or substitutions are included within the scope defined by the embodiments of this application.

Claims

1. A control method for a refrigeration device, characterized in that, The refrigeration equipment includes a compartment, an air guide, and multiple temperature sensors. The compartment is used to place food and is equipped with an air outlet. The air guide is disposed at the air outlet. The temperature sensors are used to acquire the temperature of the compartment. The method includes: For each of the temperature sensors, the first temperature parameter of the room before the door is opened and the second temperature parameter after the door is closed are obtained, and the temperature rise data is determined based on the first temperature parameter and the second temperature parameter. A multidimensional temperature rise matrix is ​​obtained based on multiple temperature rise data, and reference values ​​for all temperature rise data in the multidimensional temperature rise matrix are calculated. For each temperature rise data in the multidimensional temperature rise matrix, the difference between the temperature rise data and the adjacent temperature rise data is calculated to obtain the target difference. The target temperature rise data is determined based on the temperature rise data, the reference value, and the target difference. Based on the target temperature rise data, determine the location area of ​​the target food ingredient, and adjust the air guide to allow the air outlet to deliver air to the location area.

2. The control method according to claim 1, characterized in that, The process of obtaining a multidimensional temperature rise matrix based on multiple temperature rise data includes one of the following: Based on the multiple temperature rise data and preset weights, a multidimensional temperature rise matrix is ​​obtained; The positions of the multiple temperature rise data are arranged to obtain a multidimensional temperature rise matrix.

3. The control method according to claim 2, characterized in that, The step of obtaining a multidimensional temperature rise matrix based on multiple temperature rise data and preset weights includes: The multiple temperature rise data and preset weights are filtered to obtain multiple filtered temperature rise data to obtain a multidimensional temperature rise matrix.

4. The control method according to claim 3, characterized in that, When the temperature rise data includes first temperature rise data and second temperature rise data; Based on multiple temperature rise data points and preset weights, filtering is performed to obtain multiple filtered temperature rise data points to obtain a multidimensional temperature rise matrix, including: The first temperature rise data, the second temperature rise data, the first weighting coefficient, and the second weighting coefficient are weighted to obtain the filtered second temperature rise data. The first temperature rise data is determined by the second temperature parameter at the first moment after the door is closed and the first temperature parameter before the door is opened. The second temperature rise data is determined by the second temperature parameter at the second moment after the door is closed and the first temperature parameter before the door is opened. Based on the filtered second temperature rise data, a multidimensional temperature rise matrix is ​​obtained.

5. The control method according to claim 4, characterized in that, The method for obtaining a multidimensional temperature rise matrix based on the filtered second temperature rise data includes: Based on the edge values ​​of the filtered second temperature rise data, the filtered second temperature rise data is filled outward with the target number of revolutions to obtain the filled second temperature rise data. The filled second temperature rise data is convolved according to a preset weight matrix to obtain the convolved second temperature rise data, wherein the preset weight of the middle region of the preset weight matrix is ​​greater than the preset weight of the edge region of the preset weight matrix. Based on the second temperature rise data after convolution, a multidimensional temperature rise matrix is ​​obtained.

6. The control method according to claim 2, characterized in that, The multidimensional temperature rise matrix is ​​obtained by arranging the positions of the multiple temperature rise data points, including one of the following: The multiple temperature rise data are arranged according to the row and column positions of the multiple temperature sensors to obtain a two-dimensional temperature rise matrix; The multiple temperature rise data are arranged according to the regional, row, and column positions of the multiple temperature sensors to obtain a three-dimensional temperature rise matrix.

7. The control method according to claim 1, characterized in that, Determining the location area of ​​the target food ingredient based on the target temperature rise data includes: The target point in the field of view of the corresponding target temperature sensor is determined based on the target temperature rise data. The location of the target ingredient is determined based on the target point.

8. The control method according to claim 1, characterized in that, The compartment includes at least a first compartment and a second compartment, wherein the first compartment includes at least a first area and a second area, and adjusting the air guide to supply air to the location area via the air outlet includes: Once the location of the target ingredient is determined to be the first area, the air guide is adjusted so that the air outlet delivers air to the first area; When the location of the target ingredient is determined to be the first area and the second area, the air guide is adjusted so that the air outlet sweeps and delivers air to the first area and the second area.

9. The control method according to claim 1, characterized in that, The refrigeration equipment also includes a fan and a compressor; after determining the location area of ​​the target food ingredient based on the target temperature rise data, it further includes: The operating status of the fan and the compressor is determined based on the temperature rise data and the preset temperature rise data.

10. The control method according to claim 9, characterized in that, The step of determining the operating status of the fan and the compressor based on the temperature rise data and the preset temperature rise data includes: When the temperature rise data is greater than the preset temperature rise data, the operating state of the fan and compressor is determined to be rapid cooling mode; When the temperature rise data is less than or equal to the preset temperature rise data, the working state of the fan and the compressor is determined to be the normal working mode.

11. The control method according to claim 1, characterized in that, After adjusting the air guide to deliver air to the location area through the air outlet, the method further includes: Acquire temperature fluctuation data for each area of ​​the room; When the temperature fluctuation data exceeds the preset temperature fluctuation threshold, the target area is determined and the air guide is adjusted so that the air outlet delivers air to the target area; Until the temperature fluctuation data is less than or equal to a preset temperature fluctuation threshold, the air guide is adjusted so that the air outlet stops supplying air to the target area.

12. The control method according to claim 11, characterized in that, The refrigeration equipment also includes a fan and a compressor; after acquiring the temperature fluctuation data of each area of ​​the room, it further includes: The operating status of the fan and the compressor is determined based on the temperature fluctuation data and the preset temperature fluctuation threshold.

13. The control method according to claim 12, characterized in that, The step of determining the operating status of the fan and the compressor based on the temperature fluctuation data and the preset temperature fluctuation threshold includes: When the temperature fluctuation data exceeds the preset temperature fluctuation threshold, the operating state of the fan and compressor is determined to be rapid cooling mode; When the temperature fluctuation data is less than or equal to the preset temperature fluctuation threshold, the working state of the fan and the compressor is determined to be the normal working mode.

14. A refrigeration device, characterized in that, include: The room is used to store food and is equipped with air vents; An air guide is provided at the air outlet; Multiple temperature sensors are used to acquire the temperature of the compartment; The controller is configured to acquire, for each of the temperature sensors, a first temperature parameter of the compartment before the door is opened and a second temperature parameter after the door is closed, determine temperature rise data based on the first temperature parameter and the second temperature parameter, obtain a multidimensional temperature rise matrix based on multiple temperature rise data, and calculate reference values ​​for all the temperature rise data in the multidimensional temperature rise matrix. For each temperature rise data in the multidimensional temperature rise matrix, the difference between the temperature rise data and the adjacent temperature rise data is calculated to obtain the target difference. The target temperature rise data is determined based on the temperature rise data, the reference value, and the target difference. Based on the target temperature rise data, determine the location area of ​​the target food ingredient, and adjust the air guide to allow the air outlet to deliver air to the location area.

15. The refrigeration equipment according to claim 14, characterized in that, The temperature sensor includes an array temperature sensor and multiple single-point temperature sensors. The array temperature sensor is installed on the flip beam of the door of the refrigeration equipment, and the single-point temperature sensors are installed on the flip beam of the door of the refrigeration equipment or on the side wall of the cabinet of the refrigeration equipment.

16. A controller, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the control method of the refrigeration device as described in any one of claims 1 to 13 when running the computer program.

17. A computer-readable storage medium, characterized in that: The device stores computer-executable instructions for performing a control method for a refrigeration device as described in any one of claims 1 to 13.

18. A computer program product, comprising a computer program or computer instructions, characterized in that, The computer program or the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer program or the computer instructions from the computer-readable storage medium and executes the computer program or the computer instructions, causing the computer device to perform the control method of the refrigeration device as described in any one of claims 1 to 13.

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