Disinfection cabinet temperature control method and device and disinfection cabinet

Abstract

The invention discloses a disinfection cabinet temperature control method and device and a disinfection cabinet, and the method comprises the steps that in the operation process of the disinfection cabinet, first detection temperatures of M temperature sensors in the disinfection cabinet are obtained, the M temperature sensors are correspondingly arranged at M target positions of the inner container wall of the disinfection cabinet, and M is an integer greater than 1; the first detection temperatures of the M temperature sensors are input into a temperature optimization model, the disinfection temperature of the target cavity position in the disinfection cabinet is obtained through the temperature optimization model, model coefficients of the temperature optimization model comprise M weight coefficients corresponding to the M temperature sensors, and the M weight coefficients correspond to the M temperature sensors; the M weight coefficients and the M target positions are determined by testing N loading states of the disinfection cabinet. The technical problem that the difference between the real disinfection temperature in the disinfection cabinet cavity and the standard value is large can be solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of kitchen appliances, and in particular relates to a temperature control method and device for a disinfection cabinet and a disinfection cabinet. Background Art

[0002] With the upgrading of consumption, users need a better quality and healthier life, and disinfection cabinets are becoming more and more popular. As an important component in the disinfection cabinet, the temperature sensor plays the role of transmitting temperature data to indirectly control the disinfection operation.

[0003] In the related art, the disinfection cabinet mostly uses a thermostat or a single sensor to control the temperature in the disinfection cabinet cavity. In different users' homes, the actual loading conditions in the disinfection cabinet vary greatly. For example, the actual loading amounts in different users' homes are different, and there may also be uneven loading distribution, which is different from the standard loading of the disinfection cabinet in the laboratory. This will cause the program to have serious inaccuracy in temperature control accuracy under non-standard loading conditions, resulting in a large difference between the actual disinfection temperature in the disinfection cabinet cavity and the standard value (for example: the standard value is the temperature value or design value required by the national standard). In the case of excessive temperature difference (such as a difference of 15 degrees Celsius), the actual disinfection temperature in the disinfection cabinet cavity will reach the standard value, but the program will determine that it has not yet reached the standard value set by itself, and the disinfection cabinet will continue to heat, resulting in a waste of energy consumption for the 15-degree Celsius temperature difference. Summary of the invention

[0004] A method and device for controlling the temperature of a disinfection cabinet and a disinfection cabinet are provided according to an embodiment of the present invention, so as to solve the technical problem that the actual disinfection temperature reached in the cavity of the disinfection cabinet differs greatly from the standard value.

[0005] In a first aspect of the present invention, a method for controlling temperature of a disinfection cabinet is provided, comprising: during operation of the disinfection cabinet, obtaining first detection temperatures of M temperature sensors in the disinfection cabinet, the M temperature sensors corresponding to M target positions arranged on the inner wall of the disinfection cabinet, where M is an integer greater than 1; inputting the first detection temperatures of the M temperature sensors into a temperature optimization model, and determining a current disinfection temperature of a target cavity position in the disinfection cabinet through the temperature optimization model, wherein a model coefficient of the temperature optimization model comprises M weight coefficients corresponding to the M temperature sensors, the M weight coefficients and the M target positions are determined by testing N kinds of loading states of the disinfection cabinet, where N is an integer greater than 1; and controlling the disinfection cabinet based on the current disinfection temperature.

[0006] In combination with the first aspect, in some embodiments, the temperature optimization model is determined by testing the disinfection cabinet in advance based on the following steps: when the M temperature sensors are arranged corresponding to the M target positions on the inner wall of the disinfection cabinet, the N loading states of the disinfection cabinet are tested respectively to obtain the second detection temperature of each of the M temperature sensors in the N loading states; for each of the temperature sensors, the weight coefficient of the temperature sensor is determined based on the standard disinfection temperature of the target cavity position in the disinfection cabinet and the second detection temperature of the M temperature sensors in the N loading states; based on the M weight coefficients corresponding to the M temperature sensors, a temperature optimization model is generated for determining the disinfection temperature at the target cavity position in the disinfection cabinet during the operation of the disinfection cabinet.

[0007] In combination with the first aspect, in some embodiments, the method further includes: when the M temperature sensors are arranged corresponding to the M first candidate layout positions on the inner wall of the disinfection cabinet, N loading states of the disinfection cabinet are tested respectively to obtain the third detection temperature of each of the M temperature sensors in the N loading states; for each of the loading states, according to the third detection temperature of the M temperature sensors in the loading state and the standard disinfection temperature of the target cavity position, the weight coefficient range of each of the M temperature sensors in the loading state is determined; for each of the temperature sensors, the target position for arranging the temperature sensor is determined according to the weight coefficient range of the temperature sensor in the N loading states and the first candidate layout position of the temperature sensor.

[0008] In combination with the first aspect, in some embodiments, it also includes: constructing a simulation model of the disinfection cabinet, the simulation model being used to simulate the disinfection cabinet and simulating the arrangement of M temperature sensors on the inner wall of the disinfection cabinet; simulating the heating process of the disinfection cabinet and the temperature detection process of the M temperature sensors based on the simulation model to obtain M first candidate arrangement positions corresponding to the M temperature sensors.

[0009] In combination with the first aspect, in some embodiments, for each of the temperature sensors, the target position for arranging the temperature sensor is determined according to the weight coefficient range of the temperature sensor in the N loading states and the first candidate layout position of the temperature sensor, including: for each of the temperature sensors, if there is a numerical overlap in the weight coefficient range of the temperature sensor in the N loading states, the first candidate layout position of the temperature sensor is used as the target position of the temperature sensor; for each of the temperature sensors, if there is no numerical overlap in the weight coefficient range of the temperature sensor in the N loading states, the second candidate layout position of the temperature sensor is determined according to the first candidate layout position of the temperature sensor, and it is determined whether the second candidate layout position of the temperature sensor is used as the target position for arranging the temperature sensor.

[0010] In combination with the first aspect, in some embodiments, the weight coefficient of each temperature sensor is determined based on the standard disinfection temperature of the target cavity position in the disinfection cabinet and the second detection temperatures of the M temperature sensors in the N loading states, including: for each temperature sensor, based on the standard disinfection temperature of the target cavity position in the disinfection cabinet and the second detection temperatures of the M temperature sensors in the N loading states, determining the weight coefficient range of the temperature sensor in the N loading states, determining a numerical overlap interval based on the weight coefficient range of the temperature sensor in the N loading states, and obtaining the weight coefficient of the temperature sensor from the numerical overlap interval based on the measured temperature difference data of the disinfection cabinet in the N loading states.

[0011] In combination with the first aspect, in some embodiments, determining the second candidate layout position of the temperature sensor based on the first candidate layout position of the temperature sensor includes: for each of the loading states, determining the calculated disinfection temperature of the target cavity position in the loading state according to the third detection temperature of the M temperature sensors in the loading state, and determining the measured temperature difference range in the loading state based on the standard disinfection temperature of the target cavity position and the calculated disinfection temperature in the loading state; and correcting the first candidate layout position of the temperature sensor at least according to the N measured temperature difference ranges corresponding to the N loading states to obtain the second candidate layout position of the temperature sensor.

[0012] In combination with the first aspect, in some embodiments, the first candidate layout position of the temperature sensor is corrected at least according to the N measured temperature difference ranges corresponding to the N loading states to obtain the second candidate layout position of the temperature sensor, including: correcting the first candidate layout position of the temperature sensor according to the simulated temperature difference and the N measured temperature difference ranges corresponding to the N loading states, wherein the simulated temperature difference is obtained by simulation based on a simulation model of the disinfection cabinet.

[0013] In combination with the first aspect, in some embodiments, the temperature optimization model for determining the disinfection temperature at the target cavity position in the disinfection cabinet during the operation of the disinfection cabinet is generated based on the M weight coefficients corresponding to the M temperature sensors, including: determining the temperature difference correction coefficient based on the measured temperature difference data of the disinfection cabinet in the N loading states; and generating the temperature optimization model based on the M weight coefficients and the temperature difference correction coefficient.

[0014] In a second aspect of the present invention, a temperature control device for a disinfection cabinet is provided, comprising: a temperature acquisition unit, for acquiring first detection temperatures of M temperature sensors in the disinfection cabinet during operation of the disinfection cabinet, the M temperature sensors corresponding to M target positions arranged on the inner wall of the disinfection cabinet, and M being an integer greater than 1; a temperature optimization unit, for inputting the first detection temperatures of the M temperature sensors into a temperature optimization model, and determining a current disinfection temperature of a target cavity position in the disinfection cabinet through the temperature optimization model, wherein the model coefficients of the temperature optimization model include M weight coefficients corresponding to the M temperature sensors, the M weight coefficients and the M target positions are determined by testing N kinds of loading states of the disinfection cabinet, and N is an integer greater than 1; a control execution unit, for controlling the disinfection cabinet based on the current disinfection temperature.

[0015] In the third aspect of the present invention, a disinfection cabinet is provided, comprising: a cabinet body; M temperature sensors, which are arranged correspondingly at M target positions on the inner wall of the cabinet body, where M is an integer greater than 1; one or more processors and one or more memories, wherein at least one program code is stored in the one or more memories, and the at least one program code is loaded and executed by the one or more processors to implement the method described in any embodiment of the first aspect.

[0016] According to one or more technical solutions provided by the embodiments of the present invention, at least the following technical effects or advantages are achieved:

[0017] The embodiment of the present invention obtains the first detection temperatures of M temperature sensors in the disinfection cabinet during the operation of the disinfection cabinet, and the M temperature sensors correspond to M target positions arranged on the inner wall of the disinfection cabinet, where M is an integer greater than 1; the first detection temperatures of the M temperature sensors are input into a temperature optimization model, and the current disinfection temperature of the target cavity position in the disinfection cabinet is determined by the temperature optimization model, and the operation of the disinfection cabinet is controlled by the current disinfection temperature, wherein the model coefficients of the temperature optimization model include M weight coefficients corresponding to the M temperature sensors, and the M weight coefficients and the M target positions are determined by testing N kinds of loading states of the disinfection cabinet. The above technical solution can realize accurate temperature perception in the disinfection cabinet by disposing multiple temperature sensors on the inner wall of the disinfection cabinet. Since the weight coefficient and layout position of each temperature sensor are determined by testing N kinds of loading states of the disinfection cabinet, the layout position of the temperature sensor can be more in line with the user's actual dish loading situation. The disinfection temperature of the target cavity position in the disinfection cabinet determined by the temperature optimization model can also be closer to the actual disinfection temperature reached under the user's actual dish loading conditions. Therefore, the difference between the actual disinfection temperature in the disinfection cabinet cavity and the standard disinfection temperature required by the design can be narrowed, thereby reducing unnecessary energy consumption of the disinfection cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 Flow chart of the temperature control method of the disinfection cabinet in an embodiment of the present invention;

[0020] Figure 2 A flow chart of testing and determining a temperature optimization model in an embodiment of the present invention;

[0021] Figure 3 Schematic diagram of the structure of the temperature control device of the disinfection cabinet in an embodiment of the present invention;

[0022] Figure 4 Schematic diagram of the structure of the disinfection cabinet in the embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. Based on the embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] An embodiment of the present invention provides a method for controlling the temperature of a disinfection cabinet, which can be applied to a disinfection cabinet that performs disinfection by heating. Figure 1 Flow chart of the method for controlling the temperature of a disinfection cabinet in an embodiment of the present invention. Figure 1 As shown, the disinfection cabinet temperature control method includes the following steps S101 to S103.

[0025] S101. Obtain first detected temperatures of M temperature sensors in the disinfection cabinet, where the M temperature sensors are arranged at M target positions on the inner wall of the disinfection cabinet, and M is an integer greater than 1.

[0026] It should be understood that factors such as the shape and size of the inner tank of the disinfection cabinet, the heating power used for disinfection, the loading conditions in the disinfection cabinet, and the number of temperature sensors to be arranged will affect the arrangement position of the sensor, and 2, 3 or even more temperature sensors can be arranged in the disinfection cabinet. Therefore, the M target positions are determined by testing the N loading states of the disinfection cabinet. In some embodiments, after determining the M first candidate arrangement positions on the inner tank wall of the disinfection cabinet, the M first candidate arrangement positions on the inner tank wall of the disinfection cabinet are all arranged with temperature sensors; when the M temperature sensors are arranged correspondingly at the M first candidate arrangement positions on the inner tank wall of the disinfection cabinet, the N loading states of the disinfection cabinet are tested one by one to determine whether the M first candidate arrangement positions are suitable; for each temperature sensor, if the first candidate arrangement position corresponding to the temperature sensor is suitable, the first candidate arrangement position of the temperature sensor is used as the target position for arranging the temperature sensor, and if the first candidate arrangement position corresponding to the temperature sensor is not suitable, it is necessary to re-determine the target position for arranging the temperature sensor.

[0027] It is understandable that the M first candidate layout positions corresponding to the M temperature sensors can be determined by simulation. In some embodiments, determining the M first candidate layout positions on the inner wall of the disinfection cabinet by simulation may include: constructing a simulation model of the disinfection cabinet, wherein the simulation model is used to simulate the disinfection cabinet and simulate the layout of M temperature sensors on the inner wall of the disinfection cabinet; simulating the heating process of the disinfection cabinet and the temperature detection process of the M temperature sensors based on the simulation model to obtain the M first candidate layout positions corresponding to the M temperature sensors. By determining the M first candidate layout positions corresponding to the M temperature sensors on the inner wall of the disinfection cabinet by the above simulation, the accuracy of the M first candidate layout positions can be improved, so that there is no need to repeatedly simulate and test to correct the position of the temperature sensor, and the target position of the temperature sensor can be quickly determined, so that the efficiency of determining the M target positions can be improved. In other embodiments, M first candidate layout positions can also be randomly selected on the inner wall of the disinfection cabinet, and the position of the temperature sensor can be corrected by repeated mode simulation and testing, and the target position of the temperature sensor can also be determined.

[0028] In some embodiments, in order to determine whether the M first candidate layout positions are suitable as target positions for arranging temperature sensors, it can include: when M temperature sensors are arranged corresponding to the M first candidate layout positions on the inner wall of the disinfection cabinet, N loading states of the disinfection cabinet are tested respectively to obtain the third detection temperature of each of the M temperature sensors in the N loading states; for each loading state of the disinfection cabinet, the weight coefficient range of each of the M temperature sensors in the loading state is determined according to the third detection temperature of the M temperature sensors in the loading state and the standard disinfection temperature of the target cavity position; for each of the M temperature sensors, the target position on the inner wall of the disinfection cabinet for arranging the temperature sensor is determined according to the weight coefficient range of the temperature sensor in the N loading states and the first candidate layout position of the temperature sensor.

[0029] In the case where M temperature sensors are arranged at the M first candidate arrangement positions on the inner wall of the disinfection cabinet, the N loading states of the disinfection cabinet are tested respectively, so that for each temperature sensor arranged on the inner wall of the disinfection cabinet, the weight coefficient range of the temperature sensor in the N loading states can be obtained. It should be noted that the weight coefficient range of the temperature sensor in the N loading states specifically includes: N weight coefficient ranges of the temperature sensor corresponding to the N loading states one by one.

[0030] In some embodiments, each temperature sensor will correspond to a weight coefficient range in each loading state, and each weight coefficient range needs to be determined according to the preset temperature difference threshold, the standard disinfection temperature of the target cavity position and the third detection temperature of the M temperature sensors in this loading state. In an embodiment of the present invention, the smaller the preset temperature difference threshold is set, the smaller the difference between the actual disinfection temperature reached by the target cavity position and the standard disinfection temperature can be when the disinfection cabinet is actually used by the user. In the specific implementation process, the preset temperature difference threshold can be a positive value of 5°C or even smaller. Among them, for each loading state of the disinfection cabinet, according to the inequality that the absolute value of the temperature difference between the standard disinfection temperature of the target cavity position and the calculated disinfection temperature of the target cavity position in this loading state is not greater than the preset temperature difference threshold, the weight coefficient range of each temperature sensor in the M temperature sensors in this loading state can be determined, and the calculated disinfection temperature of the target cavity position in this loading state can be expressed as the weighted sum of the third detection temperatures of the M temperature sensors in this loading state, which is used to characterize the actual disinfection temperature reached by the standard cavity position.

[0031] In some embodiments, the calculated disinfection temperature at the target cavity position in the disinfection cabinet is expressed as a weighted sum of the third detection temperatures of M temperature sensors, and the corresponding temperature optimization model can be expressed as follows: Where T′ represents the disinfection temperature of the target cavity in the disinfection cabinet, K i represents the weight coefficient of the i-th temperature sensor, T i represents the detection temperature of the i-th temperature sensor, i is 1 to M in sequence, and M is the number of temperature sensors arranged in the disinfection cabinet. On this basis, in the process of testing the disinfection cabinet, for each loading state of the disinfection cabinet, based on the third detection temperature of the M temperature sensors in this loading state and the standard disinfection temperature of the target cavity position, the weight coefficient range of each temperature sensor in the M temperature sensors in this loading state is determined, which may include: obtaining the third detection temperature of the M temperature sensors in this loading state, and determining the weight coefficient range of each temperature sensor in the M temperature sensors in this loading state based on the following formula:

[0032]

[0033] Since the standard disinfection temperature T, the preset temperature difference threshold ΔT′ and the third detection temperature Ti of each of the M temperature sensors in this loading state are all known values, it is equivalent to solving a multivariate linear inequality to determine the range of values ​​that the weight coefficients of each of the M temperature sensors can take in this loading state, that is, the weight coefficient range of each of the M temperature sensors in this loading state can be obtained.

[0034] In some embodiments, for each of the M temperature sensors, determining the target position for arranging the temperature sensor based on the weight coefficient range of the temperature sensor in N loading states and the first candidate layout position of the temperature sensor can include: judging whether the first candidate layout position of the temperature sensor is used as the target position of the temperature sensor based on the N weight coefficient ranges of the temperature sensor corresponding one-to-one to the N loading states; if not, it is necessary to redetermine the target position for arranging the temperature sensor.

[0035] Among them, for each temperature sensor, judging whether the first candidate layout position of the temperature sensor is used as the target position of the temperature sensor may include: for each temperature sensor, if the N weight coefficient ranges corresponding to the N loading states of the temperature sensor have numerical overlap, the first candidate layout position of the temperature sensor is used as the target position of the temperature sensor; if the N weight coefficient ranges corresponding to the N loading states of the temperature sensor do not have numerical overlap, it indicates that the first candidate layout position of the temperature sensor is not suitable as the target position for arranging the temperature sensor, and it is necessary to determine the second candidate layout position of the temperature sensor according to the first candidate layout position, and judge whether the second candidate layout position of the temperature sensor is used as the target position of the temperature sensor. Thus, the position where the temperature sensor is appropriately arranged can be accurately determined, which is more conducive to the temperature sensor to more accurately sense the temperature in the cavity of the disinfection cabinet.

[0036] Taking the determination of the target position for placing one of the temperature sensors by testing three loading states of the disinfection cabinet as an example, three weight coefficient ranges of the temperature sensor can be obtained through the test:

[0037] If the temperature sensor is located at point A on the inner wall of the disinfection cabinet, the three loading states of the disinfection cabinet are tested and the corresponding three weight coefficient ranges are as follows: the weight coefficient range in the no-load state is (0.25~0.3), the corresponding weight coefficient range in the half-load state is (0.28~0.35), and the corresponding weight coefficient range in the full-load state is (0.4~0.5). It can be seen that there is no numerical overlap in the three weight coefficient ranges, that is, there is no intersection, indicating that the first candidate layout position of the temperature sensor is inappropriate, and the target position for arranging the temperature sensor needs to be reselected.

[0038] If the temperature sensor is located at point B on the inner wall of the disinfection cabinet, the three loading states of the disinfection cabinet are tested and the corresponding three weight coefficient ranges are as follows: the weight coefficient range in the no-load state is (0.45~0.5), the corresponding weight coefficient range in the half-load state is (0.42~0.52), and the corresponding weight coefficient range in the full-load state is (0.45~0.55). It can be seen that the three weight coefficient ranges have numerical overlap (0.45~0.5), that is, there is an intersection, which indicates that the first candidate layout position of the temperature sensor is appropriate and can be used as the target position for arranging the temperature sensor.

[0039] In some embodiments, for each of the M temperature sensors, determining the second candidate layout position of the temperature sensor according to the first candidate layout position of the temperature sensor may include: for each loading state, determining the calculated disinfection temperature of the target cavity position in the loading state according to the third detection temperature of the M temperature sensors in the loading state, and determining the measured temperature difference range of the loading state based on the standard disinfection temperature of the target cavity position and the calculated disinfection temperature of the target cavity position in the loading state; correcting the first candidate layout position of the temperature sensor according to at least N measured temperature difference ranges corresponding to N loading states to obtain the second candidate layout position of the temperature sensor, so that the second candidate layout position is more accurate than the first candidate position and is more suitable for arranging the temperature sensor.

[0040] In some embodiments, if the first candidate layout position of the temperature sensor is not suitable, the first candidate layout position of the temperature sensor can be corrected through simulation to obtain the second candidate layout position of the temperature sensor, specifically including: correcting the first candidate layout position according to the simulated temperature difference and N measured temperature difference ranges corresponding to N loading states, wherein the simulated temperature difference is obtained by simulation based on a simulation model of the disinfection cabinet.

[0041] In some embodiments, simulating based on the simulation model of the disinfection cabinet to obtain a simulated temperature difference may include: simulating the heating process of the disinfection cabinet in N loading states and the temperature detection process of M temperature sensors based on the simulation model of the disinfection cabinet, and obtaining N simulated temperature differences corresponding to the N loading states of the disinfection cabinet. The simulated temperature difference is the absolute value of the temperature difference between the standard disinfection temperature of the target cavity position and the simulated disinfection temperature of the target cavity position obtained by simulation. The measured temperature difference range corresponding to each loading state is: the range of the absolute value of the temperature difference between the standard disinfection temperature of the target cavity position and the calculated disinfection temperature of the target cavity position in this loading state calculated according to the third detection temperature of the M temperature sensors in this loading state.

[0042] It should be noted that after obtaining the second candidate layout position of the temperature sensor according to any of the above-mentioned implementations, the second candidate layout position of the temperature sensor is determined to be the target position of the temperature sensor. The determination method is the same or similar to the implementation method of determining whether the first candidate layout position of the temperature sensor is the target position of the temperature sensor, and will not be repeated here. If the second candidate layout position is not suitable, it is necessary to re-simulate and continue to correct the position for arranging the temperature sensor until the target position for arranging the temperature sensor is found.

[0043] It can be understood that the N loading states of the disinfection cabinet may include: empty state, half-loaded state, fully loaded state and various non-standard loading states, among which the non-standard loading state refers to the uneven placement state in the disinfection cabinet, such as: more on one side and less on the other, one side with and no with other complex loading conditions.

[0044] It is understandable that, when M temperature sensors are arranged at M first candidate arrangement positions, the loading state of the disinfection cabinet is adjusted according to the loading conditions that may be used by the user, and the N loading states of the disinfection cabinet are tested one by one, and the third detection temperatures of the M temperature sensors can be obtained in each loading state. It should be noted that, by testing the N loading states of the disinfection cabinet one by one, N groups of third detection temperatures corresponding to the N loading states can be obtained, wherein each group of third detection temperatures includes the third detection temperatures of the M temperature sensors in the same loading state.

[0045] It is understandable that the target cavity position may be the center point of the disinfection cabinet cavity, and of course, other points near the center point of the disinfection cabinet cavity may also be selected. The standard disinfection temperature of the target cavity position may refer to: the center point temperature of the disinfection cabinet cavity required by the national standard or the center point temperature of the disinfection cabinet cavity required by other standards.

[0046] S102. Input the first detected temperatures of the M temperature sensors into the temperature optimization model, and determine the current disinfection temperature of the target cavity position in the disinfection cabinet through the temperature optimization model, wherein the model coefficients of the temperature optimization model include M weight coefficients corresponding to the M temperature sensors, and the M weight coefficients and the M target positions are determined by testing N loading states of the disinfection cabinet, where N is an integer greater than 1.

[0047] The temperature optimization model is used to estimate the current disinfection temperature reached at the target cavity position in the disinfection cabinet according to the first detection temperature of M temperature sensors arranged on the inner wall of the disinfection cabinet. In some embodiments, the temperature optimization model can be expressed as the weighted sum of the detection temperatures of M temperature sensors and the corresponding M weight coefficients. In some embodiments, the formed temperature optimization model can be referred to as follows:

[0048]

[0049] Among them, T ′ Indicates the calculated disinfection temperature of the target cavity position in the disinfection cabinet, that is, the estimated disinfection temperature of the target cavity position, Ki represents the weight coefficient of the i-th temperature sensor, Ti represents the detection temperature of the i-th temperature sensor, △T is the temperature difference correction coefficient, i is 1 to M, and M is the number of temperature sensors arranged on the inner wall of the disinfection cabinet. By setting the temperature difference correction coefficient, the difference between the disinfection temperature of the target cavity position estimated by the temperature optimization model and the actual disinfection temperature reached by the target cavity position can be further reduced during the operation of the disinfection cabinet.

[0050] For ease of understanding, the following takes the arrangement of only two temperature sensors T1 and T2 as an example, and the formed temperature optimization model can be expressed as:

[0051] T′=αT1+βT2+△T

[0052] Wherein, T′ represents the calculated disinfection temperature of the target cavity position in the disinfection cabinet, T1 and T2 represent the detected temperatures of two temperature sensors arranged on the inner wall of the disinfection cabinet, and α and β represent the weight coefficients of the two temperature sensors.

[0053] In other embodiments, the temperature optimization model may not need to set the temperature difference correction coefficient, and the formed temperature optimization model may refer to the following:

[0054]

[0055] Among them, T ′ represents the calculated disinfection temperature of the target cavity position in the disinfection cabinet, Ki represents the weight coefficient of the i-th temperature sensor, Ti represents the detection temperature of the i-th temperature sensor, i ranges from 1 to M in sequence, and M is the number of temperature sensors arranged on the inner wall of the disinfection cabinet.

[0056] It should be understood that the shape and size of the inner tank of the disinfection cabinet, the heating power used for disinfection and the number of temperature sensors installed will affect the weight coefficient of each temperature sensor. Therefore, in some embodiments, the model coefficients of the temperature optimization model (that is, the M weight coefficients corresponding to M temperature sensors) need to be determined by testing N loading states of the disinfection cabinet. Figure 2 Flow chart of testing and determining the temperature optimization model in an embodiment of the present invention, such as Figure 2 As shown, the temperature optimization model in the embodiment of the present invention can be determined by testing N kinds of loading states of the disinfection cabinet in advance based on steps S201 to S203.

[0057] S201. When M temperature sensors are arranged at corresponding M target positions on the inner wall of the disinfection cabinet, N loading states of the disinfection cabinet are tested respectively to obtain a second detection temperature of each of the M temperature sensors in the N loading states.

[0058] S202: For each temperature sensor, determine a weight coefficient of the temperature sensor based on a standard disinfection temperature of a target cavity position in the disinfection cabinet and second detection temperatures of the M temperature sensors in N loading states.

[0059] In some embodiments, for each temperature sensor, based on the standard disinfection temperature of the target cavity position in the disinfection cabinet and the second detection temperature of M temperature sensors in N loading states, the weight coefficient range of the temperature sensor in N loading states is determined, a numerical overlap interval is determined based on the weight coefficient range of the temperature sensor in N loading states, and the weight coefficient of the temperature sensor is obtained from the numerical overlap interval based on the measured temperature difference data of the disinfection cabinet in N loading states, wherein the measured temperature difference data includes the measured temperature difference under each loading state, and the measured temperature difference under this loading state is the temperature difference between the calculated disinfection temperature and the standard disinfection temperature calculated by the temperature optimization model based on the second detection temperature of M temperature sensors in this loading state.

[0060] In some embodiments, the determination of the target positions for arranging the M temperature sensors and the corresponding M weight coefficients is completed based on the same test process, and there is no need to test the disinfection cabinet separately. That is, for each temperature sensor, if there is a numerical overlap in the weight coefficient range of the temperature sensor in N loading states, the first candidate arrangement position of the temperature sensor is used as the target position of the temperature sensor, and the numerical overlap interval is determined based on the weight coefficient range of the temperature sensor in the N loading states, and the numerical overlap interval is determined based on the weight coefficient range of the temperature sensor in the N loading states.

[0061] S203. Based on the M weight coefficients corresponding to the M temperature sensors, generate a temperature optimization model for determining the disinfection temperature at the target cavity position in the disinfection cabinet during the operation of the disinfection cabinet.

[0062] In some embodiments, if the temperature optimization model is formed based on M weight coefficients and temperature difference correction coefficients. The determination of the temperature difference correction coefficient may include: determining the temperature difference correction coefficient based on the measured temperature difference data of the disinfection cabinet in N loading states; forming a temperature optimization model based on M weight coefficients and temperature difference correction coefficients. Since the temperature difference coefficient is determined based on the measured temperature difference coefficient, the accuracy of the temperature difference correction coefficient is improved, which is conducive to reducing and calculating the difference between the disinfection temperature and the standard disinfection temperature. Among them, the measured temperature difference data of the disinfection cabinet in N loading states are: for each loading state, the second detection temperature of the M temperature sensors in this loading state is input into the temperature optimization model without setting the temperature difference correction coefficient, as follows:

[0063]

[0064] The calculated disinfection temperature can be obtained, and the temperature difference between the calculated disinfection temperature and the standard disinfection temperature can be determined. The temperature difference correction coefficient is determined according to the N temperature difference values ​​corresponding to the N loading states. For example, the average temperature difference of the N temperature difference values ​​corresponding to the N loading states is used as the temperature difference correction coefficient, and another example is: a temperature difference value in the middle range is selected as the temperature difference correction coefficient.

[0065] It should be noted that the first detection temperature, the second detection temperature and the third detection temperature refer to the detection temperatures of M temperature sensors, and are named only to distinguish the three situations of the disinfection cabinet being actually used by users, testing to determine the location of the temperature sensors, and determining the weight coefficients.

[0066] S103: Control the disinfection cabinet based on the current disinfection temperature.

[0067] In some embodiments, if the current disinfection temperature of the target cavity position determined by the temperature optimization model reaches the standard disinfection temperature, the disinfection cabinet is controlled to stop heating, or the heating power of the disinfection cabinet is reduced to regulate the temperature of the disinfection cabinet cavity so that the temperature difference between the actual disinfection temperature reached at the target cavity position and the standard disinfection temperature does not exceed a preset temperature difference threshold.

[0068] Based on the same inventive concept, an embodiment of the present invention further provides a temperature control device for a disinfection cabinet. Figure 3 FIG. 1 is a schematic diagram of the structure of the temperature control device of the disinfection cabinet in an embodiment of the present invention. Figure 3As shown, the temperature control device of the disinfection cabinet includes: a temperature acquisition unit 301, which is used to obtain the first detection temperatures of M temperature sensors in the disinfection cabinet during the operation of the disinfection cabinet, and the M temperature sensors correspond to M target positions arranged on the inner wall of the disinfection cabinet, and M is an integer greater than 1; a temperature optimization unit 302, which is used to input the first detection temperatures of the M temperature sensors into the temperature optimization model, and determine the current disinfection temperature of the target cavity position in the disinfection cabinet through the temperature optimization model, wherein the model coefficient of the temperature optimization model includes M weight coefficients corresponding to the M temperature sensors, and the M weight coefficients and the M target positions are all determined by testing N kinds of loading states of the disinfection cabinet, and N is an integer greater than 1; a control execution unit, which is used to control the disinfection cabinet based on the current disinfection temperature.

[0069] In some embodiments, the temperature control device of the disinfection cabinet also includes a model generation unit, wherein the model generation unit includes: an acquisition subunit, which is used to test the N loading states of the disinfection cabinet respectively when M temperature sensors are arranged corresponding to M target positions on the inner wall of the disinfection cabinet, and obtain the second detection temperature of each of the M temperature sensors in the N loading states; a determination subunit, which is used to determine the weight coefficient of the temperature sensor for each temperature sensor based on the standard disinfection temperature of the target cavity position in the disinfection cabinet and the second detection temperatures of the M temperature sensors in the N loading states; and a generation subunit, which is used to generate a temperature optimization model for determining the disinfection temperature at the target cavity position in the disinfection cabinet during the operation of the disinfection cabinet based on the M weight coefficients corresponding to the M temperature sensors.

[0070] In some embodiments, the disinfection cabinet temperature control device further includes: a test execution unit for

[0071] In the case where M temperature sensors are arranged corresponding to M first candidate layout positions of the inner wall of the disinfection cabinet, N loading states of the disinfection cabinet are tested respectively to obtain the third detection temperature of each of the M temperature sensors in the N loading states; a range determination unit is used to determine, for each loading state, the weight coefficient range of each of the M temperature sensors in the loading state according to the third detection temperatures of the M temperature sensors in the loading state and the standard disinfection temperature of the target cavity position; a position determination unit is used to determine, for each temperature sensor, the target position for arranging the temperature sensor according to the weight coefficient range of the temperature sensor in the N loading states and the first candidate layout position of the temperature sensor.

[0072] In some embodiments, the temperature control device of the disinfection cabinet also includes: a model construction unit, which is used to construct a simulation model of the disinfection cabinet, the simulation model is used to simulate the disinfection cabinet and simulate the arrangement of M temperature sensors on the inner wall of the disinfection cabinet; a simulation execution unit, which is used to simulate the heating process of the disinfection cabinet and the temperature detection process of the M temperature sensors based on the simulation model, and obtain M first candidate arrangement positions corresponding to the M temperature sensors.

[0073] In some embodiments, the position judgment unit can be used to: for each temperature sensor, if there is a numerical overlap in the weight coefficient range of N loading states of the temperature sensor, use the first candidate layout position of the temperature sensor as the target position of the temperature sensor; for each temperature sensor, if there is no numerical overlap in the weight coefficient range of N loading states of the temperature sensor, determine the second candidate layout position of the temperature sensor according to the first candidate layout position of the temperature sensor, and judge whether the second candidate layout position of the temperature sensor is used as the target position for arranging the temperature sensor.

[0074] In some embodiments, the determination subunit can be used to: for each of the temperature sensors, determine the weight coefficient range of the temperature sensor in the N loading states based on the standard disinfection temperature of the target cavity position in the disinfection cabinet and the second detection temperatures of the M temperature sensors in the N loading states, determine a numerical overlap interval based on the weight coefficient range of the temperature sensor in the N loading states, and obtain the weight coefficient of the temperature sensor from the numerical overlap interval based on the measured temperature difference data of the disinfection cabinet in the N loading states.

[0075] In some embodiments, the position determination unit can be used to: for each loading state, determine the calculated disinfection temperature of the target cavity position in the loading state according to the third detection temperature of the M temperature sensors in the loading state, and determine the measured temperature difference range of the loading state based on the standard disinfection temperature of the target cavity position and the calculated disinfection temperature in the loading state; correct the first candidate layout position of the temperature sensor according to at least the N measured temperature difference ranges corresponding to the N loading states to obtain the second candidate layout position of the temperature sensor.

[0076] In some embodiments, the position determination unit can be used to correct the first candidate layout position according to the simulated temperature difference and N measured temperature difference ranges corresponding to N loading states, wherein the simulated temperature difference is simulated based on a simulation model of the disinfection cabinet.

[0077] In some embodiments, the generating subunit can be used to: determine the temperature difference correction coefficient according to the measured temperature difference data of the disinfection cabinet in N loading states; and generate a temperature optimization model based on M weight coefficients and the temperature difference correction coefficient.

[0078] The device embodiment introduced above can be used to execute the disinfection cabinet temperature control method in the above embodiment of the present invention. For details not disclosed in the device embodiment introduced in the embodiment of the present invention, please refer to the disinfection cabinet temperature control method described in the embodiment of the present invention.

[0079] In a third aspect, based on the same inventive concept, an embodiment of the present invention provides a disinfection cabinet, which includes: a cabinet; M temperature sensors, which are arranged at M target positions on the inner wall of the cabinet, where M is an integer greater than 1, such as Figure 4 As shown, the disinfection cabinet further includes one or more processors 402 and one or more memories 404, wherein at least one program code is stored in the one or more memories 404, and the at least one program code is loaded and executed by the one or more processors 402 to implement the above-mentioned disinfection cabinet temperature control method.

[0080] Among them, Figure 4 In the embodiment of the present invention, a bus architecture (represented by bus 400) is shown, which may include any number of interconnected buses and bridges, and bus 400 links various circuits including one or more processors represented by processor 402 and memory represented by memory 404. Bus 400 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 405 provides an interface between bus 400 and receiver 401 and transmitter 403. Receiver 401 and transmitter 403 may be the same element, namely a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 402 is responsible for managing bus 400 and general processing, while memory 404 may be used to store data used by processor 402 when performing operations.

[0081] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on a computer-readable medium or transmitted via a computer-readable medium. Other examples and implementations are within the scope and spirit of the present invention and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hard wiring, or a combination of any of these. In addition, each functional unit may be integrated into a processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit.

[0082] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, 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 interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0083] The units described as separate components may or may not be physically separated, and the components of the control device may or may not be physical units, that is, they may be located in one place or distributed in multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0084] 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 storage medium. Based on this understanding, the technical solution of the present invention, in essence, 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, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0085] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the scope of the claims of the present invention.

Claims

1. A method for controlling the temperature of a disinfection cabinet, characterized in that: include: During the operation of the disinfection cabinet, first detected temperatures of M temperature sensors in the disinfection cabinet are obtained, where the M temperature sensors are arranged at M target positions on the inner wall of the disinfection cabinet, and M is an integer greater than 1; Inputting the first detected temperatures of the M temperature sensors into a temperature optimization model, and determining the current disinfection temperature of the target cavity position in the disinfection cabinet through the temperature optimization model, wherein the model coefficient of the temperature optimization model includes M weight coefficients corresponding to the M temperature sensors, and the M weight coefficients and the M target positions are determined by testing N loading states of the disinfection cabinet, where N is an integer greater than 1; The disinfection cabinet is controlled based on the current disinfection temperature.

2. The method according to claim 1, characterized in that The temperature optimization model is determined by testing the disinfection cabinet in advance based on the following steps: In the case where the M temperature sensors are arranged at M target positions on the inner wall of the disinfection cabinet correspondingly, N loading states of the disinfection cabinet are tested respectively to obtain a second detection temperature of each of the M temperature sensors in the N loading states; For each of the temperature sensors, determining a weight coefficient of the temperature sensor based on a standard disinfection temperature of a target cavity position in the disinfection cabinet and second detection temperatures of the M temperature sensors in the N loading states; Based on the M weight coefficients corresponding to the M temperature sensors, a temperature optimization model is generated for determining the disinfection temperature at a target cavity position in the disinfection cabinet during operation of the disinfection cabinet.

3. The method according to claim 2, characterized in that Also includes: In the case where the M temperature sensors are arranged corresponding to the M first candidate arrangement positions on the inner wall of the disinfection cabinet, N loading states of the disinfection cabinet are tested respectively to obtain a third detection temperature of each of the M temperature sensors in the N loading states; For each of the loading states, determining a weight coefficient range of each of the M temperature sensors in the loading state according to the third detection temperature of the M temperature sensors in the loading state and the standard disinfection temperature of the target cavity position; For each of the temperature sensors, a target position for arranging the temperature sensor is determined according to a weight coefficient range of the temperature sensor in the N loading states and a first candidate arrangement position of the temperature sensor.

4. The method according to claim 3, characterized in that Also includes: Constructing a simulation model of the disinfection cabinet, wherein the simulation model is used to simulate the disinfection cabinet and to simulate the arrangement of M temperature sensors on the inner wall of the disinfection cabinet; Based on the simulation model, the heating process of the disinfection cabinet and the temperature detection process of the M temperature sensors are simulated to obtain M first candidate layout positions corresponding to the M temperature sensors.

5. The method according to claim 3, characterized in that: The step of determining, for each of the temperature sensors, a target position for arranging the temperature sensor according to a weight coefficient range of the temperature sensor in the N loading states and a first candidate arrangement position of the temperature sensor comprises: For each of the temperature sensors, if the weight coefficient ranges of the temperature sensor in the N loading states have numerical overlaps, taking the first candidate layout position of the temperature sensor as the target position of the temperature sensor; For each of the temperature sensors, if there is no numerical overlap in the weight coefficient range of the temperature sensor in the N loading states, the second candidate layout position of the temperature sensor is determined according to the first candidate layout position of the temperature sensor, and it is determined whether the second candidate layout position of the temperature sensor is used as the target position for arranging the temperature sensor.

6. The method according to claim 5, characterized in that The step of determining, for each of the temperature sensors, a weight coefficient of the temperature sensor based on the standard disinfection temperature of the target cavity position in the disinfection cabinet and the second detected temperatures of the M temperature sensors in the N loading states comprises: For each of the temperature sensors, based on the standard disinfection temperature of the target cavity position in the disinfection cabinet and the second detection temperatures of the M temperature sensors in the N loading states, the weight coefficient range of the temperature sensor in the N loading states is determined, a numerical overlap interval is determined based on the weight coefficient range of the temperature sensor in the N loading states, and the weight coefficient of the temperature sensor is obtained from the numerical overlap interval based on the measured temperature difference data of the disinfection cabinet in the N loading states.

7. The method according to claim 5, characterized in that The step of determining the second candidate layout position of the temperature sensor according to the first candidate layout position of the temperature sensor comprises: For each of the loading states, determining the calculated disinfection temperature of the target cavity position in the loading state according to the third detection temperature of the M temperature sensors in the loading state, and determining the measured temperature difference range in the loading state based on the standard disinfection temperature of the target cavity position and the calculated disinfection temperature in the loading state; The first candidate layout position of the temperature sensor is corrected at least according to the N measured temperature difference ranges corresponding to the N loading states to obtain a second candidate layout position of the temperature sensor.

8. The method according to claim 7, characterized in that The step of correcting the first candidate layout position of the temperature sensor at least according to the N measured temperature difference ranges corresponding to the N loading states to obtain the second candidate layout position of the temperature sensor includes: According to the simulated temperature difference and the N measured temperature difference ranges corresponding to the N loading states, the first candidate layout position of the temperature sensor is corrected, wherein the simulated temperature difference is obtained by simulation based on the simulation model of the disinfection cabinet.

9. The method according to claim 2, characterized in that: The method of generating a temperature optimization model for determining the disinfection temperature at a target cavity position in the disinfection cabinet during operation of the disinfection cabinet based on the M weight coefficients corresponding to the M temperature sensors includes: Determining a temperature difference correction coefficient according to the measured temperature difference data of the disinfection cabinet in the N loading states; The temperature optimization model is generated based on the M weight coefficients and the temperature difference correction coefficient.

10. A temperature control device for a disinfection cabinet, characterized in that: include: A temperature acquisition unit, used to acquire the first detected temperatures of M temperature sensors in the disinfection cabinet during operation of the disinfection cabinet, wherein the M temperature sensors are arranged at M target positions on the inner wall of the disinfection cabinet correspondingly, and M is an integer greater than 1; a temperature optimization unit, configured to input the first detected temperatures of the M temperature sensors into a temperature optimization model, and determine the current disinfection temperature of the target cavity position in the disinfection cabinet through the temperature optimization model, wherein the model coefficients of the temperature optimization model include M weight coefficients corresponding to the M temperature sensors, and the M weight coefficients and the M target positions are determined by testing N kinds of loading states of the disinfection cabinet, where N is an integer greater than 1; A control execution unit is used to control the disinfection cabinet based on the current disinfection temperature.

11. A disinfection cabinet, characterized in that: include: Cabinet; M temperature sensors are arranged at M target positions on the inner wall of the cabinet, where M is an integer greater than 1; One or more processors and one or more memories, wherein at least one program code is stored in the one or more memories, and the at least one program code is loaded and executed by the one or more processors to implement the method according to any one of claims 1-9.

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