Temperature control method and system of intelligent refrigerator, storage medium and electronic equipment

Abstract

The invention discloses a temperature control method and system of an intelligent refrigerator, a storage medium and electronic equipment, and relates to the technical field of intelligent refrigeration equipment. The method comprises the steps that the current temperature of each refrigeration area in the intelligent refrigerator is acquired, and a temperature image is generated; analyzing the temperature image to obtain a temperature analysis result; determining a to-be-adjusted target area and a to-be-adjusted temperature corresponding to the target area based on the temperature analysis result; and on the basis of the to-be-adjusted temperature corresponding to the target area, adjusting parameters of all the target areas in the intelligent refrigerator are determined, and the intelligent refrigerator is adjusted according to the adjusting parameters. By implementing the technical scheme provided by the invention, the intelligent degree of temperature adjustment of the refrigerator can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent refrigeration equipment, and in particular to a temperature control method, system, storage medium and electronic device for an intelligent refrigerator. Background Art

[0002] As the main equipment for food refrigeration, commercial refrigerators are widely used in various commercial places to maintain the freshness and quality of food and beverages. With the development of science and technology, the temperature control technology of smart refrigerators is also continuously improving to meet the growing demand for efficiency and precise control.

[0003] Traditional freezers adjust the overall temperature of the freezer based on feedback from temperature sensors. However, in actual applications, due to the large space of the freezer and the variety of items and storage methods inside, the temperature requirements of each area may vary significantly. In addition, when the freezer is frequently opened or used in a high-traffic environment, the temperature of certain areas inside may fluctuate abnormally. However, traditional systems can usually only adjust the temperature of the entire freezer, and the temperature adjustment of the freezer is less intelligent. Summary of the invention

[0004] The present application provides a temperature control method, system, storage medium and electronic equipment for an intelligent refrigerator, which can improve the intelligence level of temperature regulation of the refrigerator.

[0005] In a first aspect, the present application provides a temperature control method for an intelligent refrigerator, the method comprising: Obtain the current temperature of each refrigeration area in the smart refrigerator and generate a temperature image; Analyze the temperature image to obtain a temperature analysis result; Determining a target area to be adjusted and a temperature to be adjusted corresponding to the target area based on the temperature analysis result; Based on the to-be-adjusted temperature corresponding to the target area, the adjustment parameters of each of the target areas in the smart refrigerator are determined, and the smart refrigerator is adjusted according to the adjustment parameters.

[0006] By adopting the above technical solution, by acquiring the current temperature of each area to generate a temperature image, the temperature information and distribution of each refrigerated area can be accurately obtained, the temperature field in the refrigerator can be accurately sensed, the temperature image can be analyzed, and the target area to be adjusted and the temperature to be adjusted can be determined based on the analysis results. Then, the adjustment parameters of each area are determined according to the temperature adjustment temperature of the target area. Each area can be independently and accurately temperature controlled, effectively solving the problem of overall temperature adjustment of traditional refrigerators. At the same time, through real-time monitoring and rapid response to temperature changes in each area, the stability of temperature control in the refrigerator can be guaranteed, and abnormal temperature fluctuations in local areas can be avoided, so that the temperature control of the refrigerator reaches a higher level of intelligence.

[0007] Optionally obtain the current temperature of each refrigerated area in the smart refrigerator and generate a temperature image, including: Acquire the current temperature collected by a sensor network in the smart refrigerator, wherein the sensor network is composed of a plurality of temperature sensors installed in each refrigeration area in the smart refrigerator; Converting the current temperature into a digital signal; constructing a three-dimensional temperature matrix based on the digital signal; The three-dimensional temperature matrix is ​​rendered into a colored temperature image using a heat map algorithm.

[0008] By adopting the above technical solution, the technical means of generating temperature images based on sensor network collection and application of heat map algorithm can achieve accurate acquisition of temperature information of each area in the refrigerator, forming an accurate description of the three-dimensional temperature field distribution in the refrigerator, and providing graphical temperature field information support for subsequent identification of temperature demand differences in each area and intelligent temperature control, which can accurately perceive the temperature distribution inside the refrigerator and meet the personalized temperature control needs of the region.

[0009] Optionally, analyzing the temperature image to obtain a temperature analysis result includes: Dividing the temperature image into a plurality of temperature regions based on an image segmentation algorithm; Calculating temperature information of each temperature zone respectively, wherein the temperature information includes average temperature, maximum temperature and minimum temperature; Determining an abnormal temperature area based on a preset temperature threshold in each of the refrigerated areas and the temperature information; A temperature analysis result including the temperature information of each of the temperature regions and the abnormal temperature region is generated.

[0010] By adopting the above technical solution, the generated temperature image can be accurately divided into multiple temperature areas through the image segmentation algorithm, and the temperature information such as the average temperature, maximum temperature and minimum temperature of each temperature area can be calculated. Combined with the preset temperature threshold of each refrigerated area, the area with abnormal temperature can be accurately judged, and finally a temperature analysis result containing detailed temperature characteristics of all temperature areas and temperature abnormal areas is formed. It can realize comprehensive and accurate extraction of temperature characteristics of different areas inside the refrigerator, and effectively identify temperature abnormal areas that need priority adjustment.

[0011] Optionally, determining the target area to be adjusted and the temperature to be adjusted corresponding to the target area based on the temperature analysis result includes: Taking the refrigerated area corresponding to the abnormal temperature area in the temperature analysis result as the target area to be adjusted; Determining the abnormal temperature of each of the target areas and adjacent areas of each of the target areas; The temperature to be adjusted corresponding to the target area is determined based on the abnormal temperature and the temperature of the adjacent area.

[0012] By adopting the above technical scheme, the temperature analysis result obtained by analyzing the temperature image can determine the target area where the temperature abnormality occurs in the refrigerator. At the same time, the specific abnormal temperature value of each target area and the temperature information of the area adjacent to the target area can be determined. According to the abnormal temperature of the target area and the temperature of the adjacent area, the temperature to be adjusted of the target area is calculated and determined. By considering the influence of the adjacent area, the spread of temperature anomalies can be effectively prevented and the temperature stability inside the entire refrigerator can be maintained.

[0013] Optionally, the adjacent area includes a first area adjacent to the left side of the target area and a second area adjacent to the right side of the target area, the temperatures of the adjacent areas include a first temperature corresponding to the first area and a second temperature corresponding to the second area, and determining the temperature to be adjusted corresponding to the target area based on the abnormal temperature and the temperature of the adjacent areas includes: Substituting the abnormal temperature and the first temperature and the second temperature of the adjacent area into a preset calculation formula to obtain a temperature to be adjusted corresponding to the target area; The preset calculation formula is: Where T is the temperature to be adjusted, T s is the abnormal temperature, T t is the standard temperature corresponding to the target area, K is the adjustment factor, h L is the heat transfer coefficient of the first region, A L is the heat exchange area of ​​the first zone, T L is the first temperature, h R is the heat transfer coefficient of the second region, A R is the heat exchange area of ​​the second region, T R is the second temperature, V is the air flow rate, C P is the specific heat of air, and Δt is the time interval.

[0014] By adopting the above technical solution and taking into account the influence of adjacent areas, this method can effectively prevent the spread of temperature anomalies and maintain the temperature stability of the entire refrigerator. Furthermore, since the influence of air flow is taken into account in the calculation, the system can better utilize the flow of cold air to adjust the temperature, thereby improving the refrigeration efficiency. Finally, this precise temperature control method also optimizes energy use, reduces unnecessary cooling or heating processes, thereby reducing energy consumption and further improving the intelligence of refrigerator temperature regulation.

[0015] Optionally, determining the adjustment parameters of each target area in the smart refrigerator based on the temperature to be adjusted corresponding to the target area includes: Calculate the temperature difference between the adjusted temperature corresponding to each target area and the current temperature; Based on the temperature difference and the refrigeration parameters corresponding to each of the target areas, an adjustment parameter of each of the target areas is calculated, and the adjustment parameter includes an adjustment intensity and an adjustment time.

[0016] By adopting the above-mentioned technical solution, based on temperature difference analysis and refrigeration parameters, the technical means of determining personalized adjustment parameters can be used to intelligently determine the best adjustment plan for each target area according to its own conditions and characteristics, realize differentiated and precise regulation of different areas, and achieve an intelligent regional temperature control effect with strong targeting and fast dynamic response.

[0017] Optionally, the method further includes: Acquire historical usage data of the smart refrigerator according to a preset cycle, wherein the historical usage data includes the number of times the refrigerator door is opened and closed, the door opening time, and the temperature changes in each time period; Determining a usage schedule for the smart refrigerator based on the historical usage data; The operating mode of the smart refrigerator is adjusted based on the usage schedule.

[0018] By adopting the above technical solution, various historical usage data of the smart refrigerator are regularly collected, such as the number of times the door is opened and closed, the length of time the door is opened, and the temperature change data in different time periods. Based on the historical usage data, the peak and off-peak periods of the refrigerator can be accurately determined, and a usage schedule can be determined. According to the usage schedule, the operating power of the refrigerator can be increased in advance during the peak period to ensure the temperature control capability to cope with large flow of door openings, and the operating power can be reduced during the off-peak period to achieve energy saving.

[0019] In a second aspect of the present application, a temperature control system for an intelligent refrigerator is provided, the system comprising: The temperature acquisition module is used to obtain the current temperature of each refrigeration area in the smart refrigerator and generate a temperature image; A temperature analysis module, used to analyze the temperature image and obtain a temperature analysis result; A temperature calculation module, used to determine a target area to be adjusted and a temperature to be adjusted corresponding to the target area based on the temperature analysis result; The temperature adjustment module is used to determine the adjustment parameters of each target area in the smart refrigerator based on the temperature to be adjusted corresponding to the target area, and adjust the smart refrigerator according to the adjustment parameters.

[0020] In a third aspect of the present application, a computer storage medium is provided, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing the above method steps.

[0021] In a fourth aspect of the present application, an electronic device is provided, comprising: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the above-mentioned method steps.

[0022] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: The present application generates a temperature image by acquiring the current temperature of each area, and can accurately obtain the temperature information and distribution of each refrigerated area, accurately sense the temperature field in the refrigerator, analyze the temperature image, determine the target area to be adjusted and the temperature to be adjusted based on the analysis results, and then determine the adjustment parameters of each area according to the temperature adjustment temperature of the target area. Each area can be independently and accurately temperature controlled, effectively solving the problem of overall temperature adjustment of traditional refrigerators. At the same time, through real-time monitoring and rapid response to temperature changes in each area, the stability of temperature control in the refrigerator can be guaranteed, and abnormal temperature fluctuations in local areas can be avoided, so that the temperature control of the refrigerator reaches a higher level of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of a temperature control method of an intelligent refrigerator provided in an embodiment of the present application; Figure 2 It is a module schematic diagram of a temperature control system of a smart refrigerator provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0024] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0025] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0026] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0027] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0028] The following will provide a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0029] Please refer to Figure 1 , a flow chart of a temperature control method for an intelligent refrigerator is proposed. The method can be implemented by a computer program, can be implemented by a single-chip microcomputer, or can be run on a temperature control system of an intelligent refrigerator. The computer program can be integrated in a computer device or can be run as an independent tool application. Specifically, the method includes steps 10 to 40, and the steps are as follows: Step 10: Obtain the current temperature of each refrigeration area in the smart refrigerator and generate a temperature image.

[0030] In the embodiment of the present application, the smart refrigerator refers to a refrigeration device equipped with multiple independently controlled refrigeration areas, a temperature sensor network and a digital control system.

[0031] The refrigerated area refers to the independent temperature-controlled space inside the smart refrigerator. Each area can be set and maintained at a specific temperature according to the needs of the stored items. There is usually a thermal isolation design between these areas to reduce mutual influence. The characteristics of the refrigerated area are that its temperature can be independently controlled and has a high temperature stability, which can meet the preservation needs of different foods.

[0032] A temperature image is a visual representation of the temperature distribution inside a smart refrigerator, generated by processing the data collected by the temperature sensor network inside the refrigerator. It uses different colors or grayscale values ​​to represent the temperature at different locations, and is a two-dimensional visualization of the three-dimensional temperature distribution inside the refrigerator.

[0033] Specifically, the smart refrigerator first uses a network of temperature sensors arranged in each cold storage area to collect temperature data in real time. These sensors are distributed in different locations in the cold storage area to ensure that the temperature distribution can be fully captured. The collected analog temperature signals are then converted into digital signals for subsequent processing and analysis. The system then constructs a three-dimensional temperature matrix based on these digitized temperature data, which accurately maps the three-dimensional temperature distribution inside the refrigerator. In order to make these data more intuitive and readable, the system further uses a heat map algorithm to render the three-dimensional temperature matrix into a colored temperature image. This visualization process converts complex numerical information into an easy-to-understand graphical representation, making the temperature distribution clear at a glance. The generated temperature image clearly shows the temperature conditions of each cold storage area through color depth or gradient effects, so that key information such as temperature anomalies and temperature gradient changes can be quickly identified.

[0034] Based on the above embodiment, as an optional embodiment, the step of obtaining the current temperature of each refrigeration area in the smart refrigerator and generating a temperature image may further include the following steps: Step 101: obtaining the current temperature collected by the sensor network in the smart refrigerator, where the sensor network is composed of a plurality of temperature sensors installed in each refrigeration area in the smart refrigerator.

[0035] Specifically, the smart refrigerator achieves accurate monitoring of the temperature of each refrigerated area by acquiring the current temperature collected by the sensor network. The sensor network consists of multiple temperature sensors distributed in each refrigerated area of ​​the smart refrigerator. This design ensures the comprehensiveness and accuracy of the temperature data. At least one temperature sensor is installed in each refrigerated area to capture the temperature distribution in each refrigerated area. These sensors can monitor and feedback temperature information in real time, providing continuously updated data input for the temperature control system of the smart refrigerator.

[0036] Step 102: Convert the current temperature into a digital signal.

[0037] Step 103: construct a three-dimensional temperature matrix based on the digital signal.

[0038] Specifically, the raw temperature data collected by the sensor is usually an analog signal, which needs to be converted into a digital signal through an analog-to-digital converter. This conversion not only improves the data's anti-interference ability, but also makes the data easier to store, transmit and process. During the conversion process, the system samples, quantizes and encodes the signal to ensure the accuracy and integrity of the temperature information. The converted digital signal has a higher resolution and can capture tiny temperature changes, laying the foundation for subsequent precise temperature control. Next, the system constructs a three-dimensional temperature matrix based on these digitized temperature data. The three-dimensional temperature matrix accurately maps the three-dimensional temperature distribution inside the refrigerator, and each element corresponds to the temperature value at a specific location in the refrigerator. The three dimensions of the matrix represent the length, width and height of the refrigerator, respectively, so that the system can fully grasp the temperature distribution inside the refrigerator. In the process of constructing the three-dimensional temperature matrix, the system takes into account the spatial distribution of the sensor and fills in the positions without direct measurement data through the interpolation algorithm, thereby obtaining a continuous and complete temperature distribution model.

[0039] Step 104: Render the three-dimensional temperature matrix into a color temperature image using a heat map algorithm.

[0040] Specifically, first select an appropriate heat map algorithm, such as an interpolation-based heat map generation algorithm or a density estimation-based heat map algorithm, to ensure that the details of the temperature distribution can be accurately reflected, and then map the temperature values ​​in the three-dimensional temperature matrix to a predefined color range. Usually, cold tones (such as blue) are used in low-temperature areas, warm tones (such as red) are used in high-temperature areas, and gradient colors are used for intermediate temperatures. This color mapping scheme can intuitively reflect the relative height and distribution of temperature. During the rendering process, the system takes into account the continuity of temperature values ​​and uses interpolation technology to smooth color transitions, thereby generating a more natural and coherent temperature image.

[0041] Step 20: Analyze the temperature image to obtain the temperature analysis result.

[0042] Specifically, the generated color temperature image is processed by an image segmentation algorithm and divided into multiple temperature zones. This segmentation method is based on color features and spatial continuity, and can accurately identify different areas of temperature distribution. Subsequently, the temperature information of each temperature zone is calculated, including the average temperature, the highest temperature, and the lowest temperature. These values ​​provide an important basis for subsequent temperature control decisions. During the analysis process, the system compares the calculated temperature information with the pre-set temperature threshold in the refrigerated area to identify abnormal temperature areas. These abnormal areas may be areas where the temperature is too high or too low and need to be regulated first. The system integrates these analysis results to generate a comprehensive temperature analysis result, which contains detailed temperature information of each temperature zone and the identified abnormal temperature areas. This analysis method can not only accurately locate the target area that needs to be adjusted, but also provide trend information of temperature changes, providing an important basis for formulating accurate temperature control strategies.

[0043] Based on the above embodiment, as an optional embodiment, the step of analyzing the temperature image and obtaining the temperature analysis result may further include the following steps: Step 201: Divide the temperature image into multiple temperature regions based on an image segmentation algorithm.

[0044] Step 202: Calculate the temperature information of each temperature zone respectively, where the temperature information includes the average temperature, the maximum temperature and the minimum temperature.

[0045] Specifically, the generated color temperature image is processed by a threshold-based segmentation method or a clustering-based segmentation algorithm. This segmentation method takes into account color features and spatial continuity, and can accurately identify different areas of temperature distribution, providing a basis for subsequent temperature analysis. During the segmentation process, the system divides the temperature image into several discrete temperature areas according to the preset temperature range and color mapping relationship. This division method enables the system to manage the temperature distribution inside the refrigerator more finely and improve the accuracy of temperature control. Subsequently, the system conducts an in-depth analysis of each divided temperature area and calculates the key temperature information of each area, including the average temperature, the maximum temperature, and the minimum temperature. The average temperature reflects the overall temperature level of the area, while the maximum and minimum temperatures indicate the range of temperature fluctuations. This temperature information provides the system with a comprehensive overview of the temperature distribution, allowing the smart refrigerator to more accurately identify the areas that need to be adjusted.

[0046] Step 203: Determine abnormal temperature areas based on preset temperature thresholds and temperature information in each refrigerated area.

[0047] Specifically, the system calls various pre-set temperature thresholds, which are set according to the specific needs of different refrigerated areas and reflect the allowable temperature fluctuation range of each area. Then it determines whether the average temperature is within the target temperature range, whether the highest temperature exceeds the upper threshold, and whether the lowest temperature is lower than the lower threshold. Through this comparison, the system can quickly identify areas with abnormal temperatures. For example, if the average temperature of an area exceeds the preset range, or the highest temperature is significantly higher than the upper threshold, the area will be marked as an abnormal temperature area. This anomaly detection method can not only detect obvious temperature deviations, but also identify potential temperature control problems, such as areas with excessive temperature fluctuations.

[0048] Step 204: Generate temperature analysis results including temperature information of each temperature region and abnormal temperature regions.

[0049] Specifically, after completing the identification of abnormal areas, the system integrates all analysis results to generate a comprehensive temperature analysis result. This result contains detailed temperature information (average temperature, maximum temperature and minimum temperature) for each temperature zone, as well as the identified abnormal temperature zones and their specific abnormal conditions. The temperature analysis results provide a clear and comprehensive overview of the temperature distribution for the control system of the smart refrigerator, allowing the system to quickly locate the target areas that need to be adjusted and provide a basis for formulating precise temperature control strategies. For example, for areas identified as abnormal, the system may prioritize adjusting refrigeration parameters or redistributing cold air flow.

[0050] Step 30: Determine the target area to be adjusted and the temperature to be adjusted corresponding to the target area based on the temperature analysis result.

[0051] In the embodiment of the present application, the target area refers to a specific refrigerated area in the smart refrigerator that needs to be temperature adjusted. These areas are usually abnormal temperature areas identified by temperature analysis results, or areas that need to be adjusted in temperature specifically designated by the user.

[0052] The temperature to be adjusted in the embodiment of the present application refers to a target temperature value that needs to be achieved through temperature control measures in a determined target area.

[0053] Specifically, the system analyzes the temperature analysis results, which include detailed temperature information of each temperature zone and the identified abnormal temperature zones. The abnormal temperature zone may span multiple cold storage areas or occupy only part of the space of a cold storage area. Therefore, the system will establish a mapping relationship between abnormal temperature zones and cold storage areas, determine which cold storage areas are affected by abnormal temperatures, and use the cold storage areas corresponding to the abnormal temperature zones in the temperature analysis results as target areas to be adjusted. After determining the target area, determine the abnormal temperature of each target area and the adjacent areas of each target area. The abnormal temperature of the target area determines the direction and amplitude of the required adjustment; the temperature conditions of the adjacent areas affect the boundary conditions of the temperature adjustment and possible heat exchange; then determine the temperature to be adjusted corresponding to the target area based on the abnormal temperature and the temperature of the adjacent areas.

[0054] Based on the above embodiment, as an optional embodiment, the step of determining the target area to be adjusted and the temperature to be adjusted corresponding to the target area based on the temperature analysis result may further include the following steps: Step 301: taking the refrigerated area corresponding to the abnormal temperature area in the temperature analysis result as the target area to be adjusted.

[0055] Specifically, the system analyzes the temperature parsing results, which include detailed temperature information of each temperature zone and the identified abnormal temperature zones. Since the abnormal temperature zone may span multiple cold storage areas or occupy only part of the space of a cold storage area, the system needs to establish a mapping relationship between the abnormal temperature zone and the cold storage area. This mapping is achieved by comparing the spatial coordinates of the abnormal temperature zone with the pre-defined cold storage area boundaries. The system traverses each abnormal temperature zone, determines all the cold storage areas involved, and marks these cold storage areas as target areas to be adjusted. If an abnormal temperature zone spans multiple cold storage areas, all the cold storage areas involved will be listed as target areas. At the same time, the system will also consider cold storage areas with large temperature fluctuations, which may be listed as target areas even if their average temperature is within the normal range, in order to improve temperature stability.

[0056] Step 302: Determine the abnormal temperature of each target area and the adjacent area of ​​each target area.

[0057] Specifically, first, the system determines the average temperature, maximum temperature, and minimum temperature in the target area based on the temperature analysis results. These data together constitute the abnormal temperature characteristics of the area. The determination of abnormal temperature not only reflects the degree to which the temperature deviates from the normal range, but also reveals the unevenness of the temperature distribution, providing a key basis for formulating targeted temperature control strategies. At the same time, the system uses the pre-stored spatial data of the freezer structure information and temperature images to identify the adjacent areas adjacent to each target area. This process determines other refrigerated areas that are in direct contact with the target area by analyzing the position and boundaries of the target area in three-dimensional space. The identification of adjacent areas is crucial to understanding the heat transfer path and predicting the temperature change trend, because the temperature conditions of adjacent areas directly affect the temperature regulation effect and speed of the target area.

[0058] Step 303: Determine the temperature to be adjusted corresponding to the target area based on the abnormal temperature and the temperature of the adjacent area.

[0059] Specifically, the system identifies the first area adjacent to the left side of the target area and the second area adjacent to the right side, and obtains the temperatures of the two adjacent areas, which are the first temperature and the second temperature. This method of considering adjacent areas enables the system to fully grasp the temperature environment around the target area and provides more comprehensive data support for subsequent temperature adjustment. Substitute the abnormal temperature and the first temperature and the second temperature of the adjacent area into the preset calculation formula to obtain the temperature to be adjusted corresponding to the target area.

[0060] The default calculation formula is: Where T is the temperature to be adjusted, T s is the abnormal temperature, T t is the standard temperature corresponding to the target area, K is the adjustment factor, h L is the heat transfer coefficient of the first region, A L is the heat exchange area of ​​the first zone, T L is the first temperature, h R is the heat transfer coefficient of the second region, A R is the heat exchange area of ​​the second region, T R is the second temperature, V is the air flow rate, C P is the specific heat of air, and Δt is the time interval.

[0061] The above calculation formula, T s is the current temperature of the target area, K(T t -T s ) is the target adjustment item, and K is an adjustment factor used to control the rate of temperature adjustment. This factor can be set according to the response characteristics of the system or the required adjustment sensitivity. L ·A L (T L -Ts )+h R ·A R (T R -T s ) is to calculate the heat exchange caused by the temperature difference between the left and right regions. It should be noted that the left and right in the embodiment of the present application can also be adjacent in various directions, such as adjacent up and down in space. L ·A L +h R ·A R It calculates the total heat exchange capacity of the left and right areas. The larger the value, the stronger the heat exchange effect on that side and the greater the thermal impact on the target area. It represents the heat transfer rate caused by air flow. This term reflects the effect of air velocity and volume flow on heat exchange, that is, the amount of heat introduced or exported by air flow in a given time. First calculate T s +K(T t -T s ), the calculation result of this first part is the temperature that should be achieved through adjustment measures under an ideal state without considering the influence of environmental factors. This second part represents the actual impact of environmental factors on the ideal regulated temperature, i.e., factors that may actually hinder or facilitate its achievement.

[0062] This calculation formula can accurately calculate the target area's temperature to be adjusted, which not only takes into account the static temperature difference, but also incorporates the dynamic heat transfer process, so that temperature changes can be more accurately predicted and controlled. For example, when the temperature of the adjacent area is higher, the calculated temperature to be adjusted may be slightly lower than the target temperature to offset the heat effect from the adjacent area; conversely, if the temperature of the adjacent area is lower, the temperature to be adjusted may be increased accordingly to prevent the target area from being too cold.

[0063] This temperature regulation method based on thermal balance brings many positive effects. First, it significantly improves the accuracy of temperature control and can better maintain the ideal temperature of the target area, thereby improving the food preservation effect. Secondly, by considering the influence of adjacent areas, this method can effectively prevent the spread of temperature anomalies and maintain the temperature stability inside the entire refrigerator. Furthermore, since the influence of air flow is taken into account in the calculation, the system can better utilize the flow of cold air to regulate the temperature and improve the refrigeration efficiency. Finally, this precise temperature control method also optimizes energy use, reduces unnecessary cooling or heating processes, and thus reduces energy consumption.

[0064] For example, assuming that the abnormal temperature of the target area is T s is 20 degrees, the first temperature on the left is T L is 10 degrees, the second temperature on the right is T Ris 5 degrees, the standard temperature is 8 degrees, the heat transfer coefficient is: h L 20W / (m 2 ·K), h R 20W / (m 2 ·K). Heat exchange area: A L 1.5m 2 , A R 1.5m 2 The air flow rate V is 0.05m / s, and the air specific heat capacity C P The temperature is 1000 J / (kg·K), the time interval Δt is 3600 s, which is used to specify the duration of the temperature change or heat exchange process that occurs within this time, and the adjustment coefficient K is 0.1. Substituting these data into the preset calculation formula, the temperature to be adjusted is 6.31 degrees.

[0065] Step 40: Based on the to-be-adjusted temperature corresponding to the target area, the adjustment parameters of each target area in the smart refrigerator are determined, and the smart refrigerator is adjusted according to the adjustment parameters.

[0066] Specifically, the system calculates the temperature difference between the target area's corresponding temperature to be adjusted and the current temperature. This temperature difference is the key basis for the subsequent adjustment process. It not only reflects the temperature amplitude that needs to be adjusted, but also indirectly indicates the urgency of the adjustment. The calculation of the temperature difference enables the system to quantify the adjustment requirements of each target area, laying the foundation for subsequent precise control.

[0067] After obtaining the temperature difference, the system further combines the cooling parameters of each target area to calculate the specific adjustment parameters. These cooling parameters include the heat capacity of the area, heat conduction efficiency, space size and other characteristics, which together determine the sensitivity and response speed of the area to temperature changes. Combining the temperature difference and these cooling parameters, the system can formulate personalized and precise adjustment strategies for each target area. The calculation results of the adjustment parameters include two key indicators: adjustment intensity and adjustment time. The adjustment intensity reflects the cooling or heating power that the system needs to invest, while the adjustment time indicates the time period required to reach the target temperature. For example, for areas with large temperature differences and small heat capacity, the system may calculate a higher adjustment intensity and a shorter adjustment time; while for areas with small temperature differences but large heat capacity, a lower adjustment intensity and a longer adjustment time may be obtained.

[0068] Exemplarily, assuming that there is a target area, whose cooling parameters include temperature difference ΔT, heat capacity C, area volume V, thermal conductivity, surface area A, and cooling efficiency η, then the adjustment intensity P = (C*V*ΔT+k*A*ΔT*t) / (η*t), and the adjustment time t = √((C*V*ΔT) / (k*A*ΔT*η)).

[0069] Based on the above embodiment, as an optional embodiment, a temperature control method of an intelligent refrigerator may further include the following process: Specifically, the system collects historical usage data of smart refrigerators according to preset cycles (such as daily or weekly). These data include the number of times the refrigerator door is opened and closed, the duration of each door opening, and the temperature changes in each time period. These data fully reflect the user's usage habits and the working status of the refrigerator. The number of times the refrigerator door is opened and closed and the duration of the door opening reflect the frequency and intensity of the user's access to the refrigerator, which directly affects the fluctuation of the temperature inside the refrigerator, while the temperature changes in each time period provide important information on the refrigerator's temperature control performance and the impact of the external environment. Based on the collected historical usage data, a data analysis algorithm is used to determine the usage schedule of the smart refrigerator. This process involves pattern recognition and predictive analysis. The system will identify the time periods when users often open the door, such as the morning rush hour period or the evening rush hour period. At the same time, the system will also analyze the temperature change pattern and identify the time periods with large temperature fluctuations or stable temperature periods. Through these analyses, the system can build a detailed usage schedule and predict future usage patterns.

[0070] Based on the generated usage schedule, the system further adjusts the operation mode of the smart refrigerator. This adjustment is dynamic and intelligent, and is designed to optimize the performance and energy efficiency of the refrigerator. For example, before predicting that the user will frequently open the door, the system will slightly reduce the refrigerator temperature to cope with the upcoming temperature fluctuations. During the period when it is predicted that the door will not be opened for a long time, the system will slightly relax the temperature control to save energy. For the period of time with large temperature fluctuations, the system will increase the temperature detection frequency and adjustment sensitivity to respond to temperature changes more quickly.

[0071] See also Figure 3 , is a module schematic diagram of a temperature control system of a smart refrigerator provided in an embodiment of the present application. The temperature control system of the smart refrigerator may include: a temperature acquisition module, a temperature analysis module, a temperature calculation module and a temperature adjustment module, wherein: The temperature acquisition module is used to obtain the current temperature of each refrigeration area in the smart refrigerator and generate a temperature image; A temperature analysis module, used to analyze the temperature image and obtain a temperature analysis result; A temperature calculation module, used to determine a target area to be adjusted and a temperature to be adjusted corresponding to the target area based on the temperature analysis result; The temperature adjustment module is used to determine the adjustment parameters of each target area in the smart refrigerator based on the temperature to be adjusted corresponding to the target area, and adjust the smart refrigerator according to the adjustment parameters.

[0072] Optionally, the temperature acquisition module is also used to obtain the current temperature collected by the sensor network in the smart refrigerator, wherein the sensor network is composed of multiple temperature sensors installed in each refrigeration area in the smart refrigerator; convert the current temperature into a digital signal; construct a three-dimensional temperature matrix based on the digital signal; and render the three-dimensional temperature matrix into a color temperature image using a heat map algorithm.

[0073] Optionally, the temperature analysis module is also used to divide the temperature image into multiple temperature zones based on an image segmentation algorithm; calculate the temperature information of each temperature zone respectively, the temperature information including the average temperature, the maximum temperature and the minimum temperature; determine the abnormal temperature zone based on the preset temperature threshold in each of the refrigerated areas and the temperature information; and generate a temperature analysis result including the temperature information of each of the temperature zones and the abnormal temperature zone.

[0074] Optionally, the temperature calculation module is also used to take the refrigerated area corresponding to the abnormal temperature area in the temperature analysis result as the target area to be adjusted; determine the abnormal temperature of each target area, and the adjacent area adjacent to each target area; and determine the temperature to be adjusted corresponding to the target area based on the abnormal temperature and the temperature of the adjacent area.

[0075] Optionally, the temperature calculation module is further used to substitute the abnormal temperature and the first temperature and the second temperature of the adjacent area into a preset calculation formula to obtain the temperature to be adjusted corresponding to the target area; The preset calculation formula is: Where T is the temperature to be adjusted, T s is the abnormal temperature, T t is the standard temperature corresponding to the target area, K is the adjustment factor, h L is the heat transfer coefficient of the first region, A L is the heat exchange area of ​​the first zone, T L is the first temperature, h R is the heat transfer coefficient of the second region, A R is the heat exchange area of ​​the second region, T R is the second temperature, V is the air flow rate, C P is the specific heat of air, and Δt is the time interval.

[0076] Optionally, the temperature adjustment module is also used to calculate the temperature difference between the adjustment temperature corresponding to each target area and the current temperature; based on the temperature difference and the cooling parameters corresponding to each target area, the adjustment parameters of each target area are calculated, and the adjustment parameters include adjustment intensity and adjustment time.

[0077] Optionally, a temperature control method for a smart refrigerator also includes a mode adjustment module, which is used to obtain historical usage data of the smart refrigerator according to a preset cycle, the historical usage data including the number of times the refrigerator door is opened and closed, the door opening time, and the temperature changes in each time period; determine a usage schedule for the smart refrigerator based on the historical usage data; and adjust the operating mode of the smart refrigerator based on the usage schedule.

[0078] It should be noted that: when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0079] An embodiment of the present application also provides a computer storage medium, which can store multiple instructions. The instructions are suitable for being loaded by a processor and executing a temperature control method for an intelligent refrigerator in the above embodiment. The specific execution process can be found in the specific description of the above embodiment, which will not be repeated here.

[0080] Please refer to Figure 3 The application also discloses an electronic device. Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0081] The communication bus 302 is used to realize the connection and communication between these components.

[0082] The user interface 303 may include a display screen (Display) and a camera (Camera). The optional user interface 303 may also include a standard wired interface and a wireless interface.

[0083] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0084] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0085] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a temperature control method for an intelligent refrigerator.

[0086] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program storing a temperature control method of an intelligent refrigerator in the memory 305. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0087] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0088] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0089] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0090] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0091] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0092] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0093] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A temperature control method for an intelligent refrigerator, characterized in that: include: Obtain the current temperature of each refrigeration area in the smart refrigerator and generate a temperature image; Analyze the temperature image to obtain a temperature analysis result; Determining a target area to be adjusted and a temperature to be adjusted corresponding to the target area based on the temperature analysis result; Based on the to-be-adjusted temperature corresponding to the target area, the adjustment parameters of each of the target areas in the smart refrigerator are determined, and the smart refrigerator is adjusted according to the adjustment parameters.

2. The temperature control method of the intelligent refrigerator according to claim 1, characterized in that: The obtaining of the current temperature of each refrigeration area in the intelligent refrigerator and generating a temperature image includes: Acquire the current temperature collected by a sensor network in the smart refrigerator, wherein the sensor network is composed of a plurality of temperature sensors installed in each refrigeration area in the smart refrigerator; Converting the current temperature into a digital signal; constructing a three-dimensional temperature matrix based on the digital signal; The three-dimensional temperature matrix is ​​rendered into a colored temperature image using a heat map algorithm.

3. The temperature control method of the intelligent refrigerator according to claim 1, characterized in that: The step of analyzing the temperature image to obtain a temperature analysis result includes: Dividing the temperature image into a plurality of temperature regions based on an image segmentation algorithm; Calculating temperature information of each temperature zone respectively, wherein the temperature information includes average temperature, maximum temperature and minimum temperature; Determining an abnormal temperature area based on a preset temperature threshold in each of the refrigerated areas and the temperature information; A temperature analysis result including the temperature information of each of the temperature regions and the abnormal temperature region is generated.

4. The temperature control method of the intelligent refrigerator according to claim 3, characterized in that: The determining the target area to be adjusted and the temperature to be adjusted corresponding to the target area based on the temperature analysis result includes: Taking the refrigerated area corresponding to the abnormal temperature area in the temperature analysis result as the target area to be adjusted; Determining the abnormal temperature of each of the target areas and adjacent areas of each of the target areas; The temperature to be adjusted corresponding to the target area is determined based on the abnormal temperature and the temperature of the adjacent area.

5. The temperature control method of the intelligent refrigerator according to claim 4, characterized in that: The adjacent areas include a first area adjacent to the left side of the target area and a second area adjacent to the right side of the target area, the temperatures of the adjacent areas include a first temperature corresponding to the first area and a second temperature corresponding to the second area, and determining the temperature to be adjusted corresponding to the target area based on the abnormal temperature and the temperature of the adjacent areas includes: Substituting the abnormal temperature and the first temperature and the second temperature of the adjacent area into a preset calculation formula to obtain a temperature to be adjusted corresponding to the target area; The preset calculation formula is: Where T is the temperature to be adjusted, T s is the abnormal temperature, T t is the standard temperature corresponding to the target area, K is the adjustment factor, h L is the heat transfer coefficient of the first region, A L is the heat exchange area of ​​the first zone, T L is the first temperature, h R is the heat transfer coefficient of the second region, A R is the heat exchange area of ​​the second region, T R is the second temperature, V is the air flow rate, C P is the specific heat of air, and Δt is the time interval.

6. The temperature control method of the intelligent refrigerator according to claim 1, characterized in that: The step of determining the adjustment parameters of each target area in the intelligent refrigerator based on the temperature to be adjusted corresponding to the target area includes: Calculate the temperature difference between the adjusted temperature corresponding to each target area and the current temperature; Based on the temperature difference and the refrigeration parameters corresponding to each of the target areas, an adjustment parameter of each of the target areas is calculated, and the adjustment parameter includes an adjustment intensity and an adjustment time.

7. The temperature control method of the intelligent refrigerator according to claim 1, characterized in that: The method further comprises: Acquire historical usage data of the smart refrigerator according to a preset cycle, wherein the historical usage data includes the number of times the refrigerator door is opened and closed, the door opening time, and the temperature changes in each time period; Determining a usage schedule for the smart refrigerator based on the historical usage data; The operating mode of the smart refrigerator is adjusted based on the usage schedule.

8. A temperature control system for an intelligent refrigerator, characterized in that: The system comprises: The temperature acquisition module is used to obtain the current temperature of each refrigeration area in the smart refrigerator and generate a temperature image; A temperature analysis module, used to analyze the temperature image and obtain a temperature analysis result; A temperature calculation module, used to determine a target area to be adjusted and a temperature to be adjusted corresponding to the target area based on the temperature analysis result; The temperature adjustment module is used to determine the adjustment parameters of each target area in the smart refrigerator based on the temperature to be adjusted corresponding to the target area, and adjust the smart refrigerator according to the adjustment parameters.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

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