Control method of sterilizing cabinet, sterilizing cabinet system and computer storage medium

Abstract

The application discloses a control method of a disinfection cabinet, a disinfection cabinet system and a computer storage medium. The control method of the disinfection cabinet comprises the following steps: acquiring operation data of the disinfection cabinet in a plurality of historical use periods; predicting a use time zone and a disinfection mode of the disinfection cabinet in a current use period based on the operation data; and controlling the disinfection cabinet to adopt the disinfection mode for disinfection in the use time zone in the current use period. In this way, the intelligent level of disinfection cabinet control can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent disinfection, in particular to a control method of a disinfection cabinet, a disinfection cabinet system and a computer storage medium. BACKGROUND

[0002] With the rapid development of intelligent technology of intelligent devices, the requirements of users for intelligent products also increase. For example, a smart disinfection cabinet can sterilize tableware according to a certain time sequence, which is referred to as disinfection and sterilization (disinfection and sterilization, for short). Users can select high-temperature disinfection and sterilization of tableware. However, the disinfection and sterilization work of the current disinfection cabinet needs manual intervention and selection, and the intelligent level is low. SUMMARY

[0003] The technical problem solved by the present application is to provide a control method of a disinfection cabinet, a disinfection cabinet system and a computer storage medium to improve the intelligent level of disinfection cabinet control.

[0004] To solve the above technical problem, one technical solution adopted by the present application is to provide a control method of a disinfection cabinet. The control method of the disinfection cabinet comprises: obtaining operation data of the disinfection cabinet in a plurality of historical use cycles; predicting a use time zone and a disinfection and sterilization mode of the disinfection cabinet in a current use cycle based on the operation data; and controlling the disinfection cabinet to adopt the disinfection and sterilization mode for disinfection and sterilization in the use time zone in the current use cycle.

[0005] In a specific embodiment, the above-mentioned prediction of the use time zone and the disinfection and sterilization mode of the disinfection cabinet in the current use cycle based on the operation data comprises: dividing each historical use cycle into a plurality of time zones with a preset time length; counting the total number of operations of the disinfection cabinet in each time zone in the plurality of historical use cycles; sorting the total number of operations from large to small, and obtaining the time zones corresponding to the first N total number of operations as the use time zone of the disinfection cabinet, wherein N is greater than or equal to 1.

[0006] In a specific embodiment, the above-mentioned prediction of the use time zone and the disinfection and sterilization mode of the disinfection cabinet in the current use cycle based on the operation data further comprises: obtaining the disinfection and sterilization mode and the number of uses of the disinfection and sterilization mode of each time zone in the time zones corresponding to the first N total number of operations; and obtaining the disinfection and sterilization mode corresponding to the maximum value of the number of uses as the disinfection and sterilization mode of the corresponding use time zone.

[0007] In a specific embodiment, the above-mentioned division of each historical use cycle into a plurality of time zones with a preset time length comprises: monitoring a start instruction of the disinfection cabinet, obtaining a start time point of the disinfection cabinet; and dividing each historical use cycle into a plurality of time zones with a preset time length by taking the start time point as the time starting point of the first time zone of the historical use cycle.

[0008] In a specific embodiment, after the control of the sterilization cabinet to adopt the sterilization mode in the use time zone for sterilization, further comprising: obtaining a habit coefficient based on the operation data of the sterilization cabinet in the current use cycle, wherein the habit coefficient increases with the increase of the use cycle number of the sterilization cabinet; and correcting the use frequency based on the habit coefficient.

[0009] In a specific embodiment, the obtaining of the habit coefficient based on the operation data of the sterilization cabinet in the current use cycle comprises: calculating a first ratio between the ordinal number of the time zone in which the sterilization cabinet is currently running in the current use cycle and the total number of time zones in the use cycle of the sterilization cabinet; calculating a difference between the use cycle number corresponding to the current use cycle of the sterilization cabinet and the total number of the plurality of historical use cycles; calculating the product of the difference and the evaluation coefficient of the user to the sterilization cabinet, respectively, and the sum of the total number of the plurality of historical use cycles and the difference; calculating a second ratio between the product and the sum; calculating the sum of a preset constant, the first ratio and the second ratio as the habit coefficient; and the correcting of the use frequency based on the habit coefficient comprises: correcting the use frequency to the sum of the use frequency and the habit coefficient.

[0010] In a specific embodiment, the evaluation coefficient comprises a first evaluation coefficient and a second evaluation coefficient, and after the control of the sterilization cabinet to adopt the sterilization mode in the use time zone for sterilization, further comprising: obtaining the first evaluation coefficient in response to the execution success, wherein the first evaluation coefficient is greater than 1; and obtaining the second evaluation coefficient in response to the execution failure, wherein the second evaluation coefficient is less than 0.

[0011] In a specific embodiment, the obtaining of the operation data of the sterilization cabinet in the plurality of historical use cycles comprises: obtaining the operation data in the plurality of historical use cycles of the continuous preset number from the historical operation data of the sterilization cabinet, wherein the last use cycle number of the plurality of historical use cycles is adjacent to the use cycle number of the current use cycle.

[0012] To solve the above technical problems, one technical solution adopted by the present application is to provide a sterilization cabinet system. The sterilization cabinet system comprises: a sterilization cabinet and a prediction mechanism in communication connection with the sterilization cabinet, and the prediction mechanism adopts the control method of the sterilization cabinet to control the sterilization cabinet to work.

[0013] To solve the above technical problems, one technical solution adopted by the present application is to provide a computer storage medium. The computer storage medium stores program data, and the program data can be executed to implement the control method of the sterilization cabinet.

[0014] The disinfection cabinet control method of the present application has the beneficial effect that the control method uses operation data of the disinfection cabinet in multiple historical use periods to predict a use time zone and a disinfection model of the disinfection cabinet in a current use period, and controls the disinfection cabinet to use the predicted disinfection model to disinfect in the predicted use time zone in the current use period. Therefore, the present application can control the disinfection cabinet to automatically disinfect based on historical operation data, i.e., user habits, reduce manual intervention, and thus improve the intelligent level of disinfection cabinet control. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0016] Figure 1 is a flowchart of an embodiment of the disinfection cabinet control method of the present application;

[0017] Figure 2 is Figure 1 is a specific flowchart of step S12 in the embodiment;

[0018] Figure 3 is Figure 2 is a specific flowchart of step S21 in the embodiment;

[0019] Figure 4 is a flowchart of an embodiment of the disinfection cabinet control method of the present application;

[0020] Figure 5 is Figure 4 is a specific flowchart of steps S44 and S45 in the embodiment;

[0021] Figure 6 is a structural diagram of an embodiment of the disinfection cabinet system of the present application;

[0022] Figure 7 is Figure 6 is a working flowchart of the disinfection cabinet system of the embodiment;

[0023] Figure 8 is a structural diagram of an embodiment of the computer storage medium of the present application. DETAILED DESCRIPTION

[0024] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the application. Similarly, the following embodiments are only some, not all, embodiments of the present application, and all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of the present application.

[0025] In the description of the embodiments of this application, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in the embodiments of this application based on the specific circumstances.

[0026] In the embodiments of this application, unless otherwise expressly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "on top of," and "over" the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0027] This application first proposes a control method for a disinfection cabinet, such as... Figure 1 As shown, Figure 1 This is a flowchart illustrating an embodiment of the control method for the disinfection cabinet of this application. The control method of this embodiment specifically includes the following steps:

[0028] Step S11: Obtain the operation data of the disinfection cabinet over multiple historical usage cycles.

[0029] Since users' lives typically follow a daily cycle, to improve the accuracy of the disinfection cabinet's control, the usage cycle in this embodiment can be set to one day (in this application, one day is not limited to 0:00 to 24:00, but only to 24 hours). Of course, in other embodiments, the usage cycle of the disinfection cabinet can be adjusted according to the user's daily life cycle.

[0030] The operation data of the disinfection cabinet should include at least the following: information on the disinfection function of the disinfection cabinet (disinfection mode, etc.), the time when the disinfection cabinet door is opened and closed (or the time when it is powered on), the disinfection operation time, and the disinfection operation duration.

[0031] It can be considered that the user is familiar with the use of the disinfection cabinet for two weeks, that is, 14 days, so the embodiment can obtain operation data in 14 historical use periods of the disinfection cabinet. Of course, in other embodiments, the number of the above historical use periods can be adjusted according to the use of the user.

[0032] Optionally, the embodiment can obtain operation data in a plurality of historical use periods of a preset number from the historical operation data of the disinfection cabinet, wherein the number of the last historical use period of the plurality of historical use periods is adjacent to the number of the current use period. That is, the plurality of historical use periods is a fixed number and close to the current use period. For example, if the number of the current use period is the 15th day, the plurality of historical use periods is from the 2nd day to the 15th day. In this way, the operation data used for prediction can be closer to the current use habit of the user.

[0033] Step S12: predicting the use time zone and the disinfection mode of the disinfection cabinet in the current use period based on the operation data.

[0034] The disinfection mode includes a heating mode and a non-heating mode, the heating mode includes a high-temperature disinfection mode, a drying mode, a warm dish mode and the like, and the non-heating mode includes an ultraviolet disinfection mode, an ozone disinfection mode, an infrared disinfection mode and the like. Of course, different disinfection modes can correspond to different disinfection strategies, and the disinfection time length and / or disinfection temperature of different disinfection strategies are different.

[0035] It should be noted that in the embodiment, different disinfection modes can be different disinfection modes or different disinfection strategies.

[0036] Specifically, the embodiment can implement step S12 by the method as shown in Figure 2 The method of the embodiment includes steps S21 to S25.

[0037] Step S21: dividing each historical use period into a plurality of time zones with a preset time length.

[0038] The preset time length can be the warm plate decay time length, that is, the time length of reducing the temperature to room temperature after the disinfection of the appliance is completed. Of course, the preset time length can also be set according to the user demand or the disinfection cabinet characteristics, the disinfection mode characteristics and the appliance characteristics, and the specific implementation is not limited.

[0039] For example, the preset time length can be 20 minutes, so one day can be divided into 72 time zones, so that the size of each time zone L=24*60 / 72=20 minutes.

[0040] Optionally, the embodiment can implement step S21 by the method as shown in Figure 3 The method of the embodiment includes steps S31 and S32.

[0041] Step S31: Monitor the start instruction of the disinfection cabinet, and obtain the start time point of the disinfection cabinet.

[0042] The start instruction can be a start instruction of starting the disinfection cabinet for the first time in the current use cycle. The start instruction can be a door opening instruction of opening the door of the disinfection cabinet for the first time in the current use cycle, and the start time point of the disinfection cabinet can be a time point of opening the door of the disinfection cabinet for the first time in the current use cycle.

[0043] In other embodiments, the start instruction can be a power-on instruction of powering on the disinfection cabinet for the first time in the current use cycle, and the start time point of the disinfection cabinet can be a time point of powering on the disinfection cabinet for the first time in the current use cycle.

[0044] Step S32: Divide each historical use cycle into multiple time zones with a preset time length, taking the start time point as the time starting point of the first time zone of the historical use cycle.

[0045] In this embodiment, the start time point of the disinfection cabinet is taken as the time starting point of the first time zone of the historical use cycle, that is, the time zones of the use cycle are divided based on the start time point of the disinfection cabinet. In this way, the time nodes of the time zone division can be dynamically adjusted, which is more in line with the use habits of the user and can improve the intelligent level of the disinfection cabinet control.

[0046] For example, if the first door opening time of the disinfection cabinet on the same day is 8:00, the first time zone of the day is 8:01-8:20, the second time zone is 8:21-8:40, and so on, and the last time zone is 7:41-8:00. For another example, if the first door opening time of the disinfection cabinet on the same day is 8:10, the first time zone of the day is 8:11-8:20, the second time zone is 8:21-8:50, and so on, and the last time zone is 7:51-8:10.

[0047] Step S22: Count the total number of operations of the disinfection cabinet in each time zone in multiple historical use cycles.

[0048] For example, the total number of operations of the disinfection cabinet in each time zone in 14 days is calculated, that is, the total number of operations of the disinfection cabinet in the first time zone in 14 days, the total number of operations in the second time zone, and so on.

[0049] Step S23: Sort the total number of operations from large to small, and obtain the time zones corresponding to the first N total number of operations as the use time zones of the disinfection cabinet, where N is greater than or equal to 1.

[0050] One or more time zones with higher operation frequency are obtained as the use time zones of the disinfection cabinet, which is more in line with the use habits of the user.

[0051] The embodiment can realize the prediction of the use time zone of the current use cycle of the disinfection cabinet through steps S21 to S23.

[0052] In another embodiment, a time zone with a total running time greater than the time threshold can also be acquired as the use time zone of the disinfection cabinet.

[0053] Step S24: acquiring the disinfection mode used in each time zone corresponding to the N total running times and the use times of the disinfection modes.

[0054] The time zones corresponding to the N total running times are time zones with high use frequency of the user, and the disinfection modes used in these time zones in a plurality of historical use cycles are further acquired, and the use times of various disinfection modes used in each time zone are counted.

[0055] Step S25: acquiring the disinfection mode corresponding to the maximum value of the use times as the disinfection mode of the corresponding use time zone.

[0056] The prediction of the disinfection mode of each use time zone can be realized through steps S24 and S25.

[0057] The embodiment first counts the time zone probability, assumes that the time starting points of the three most frequently used time zones are 7:00, 12:00 and 20:00, and then counts the disinfection modes A1, A2 and A3 frequently used in each time zone, and then the predicted disinfection time and disinfection mode of the current use cycle of the disinfection cabinet correspond to 7-A1, 12-A2 and 20-A3.

[0058] Step S13: controlling the disinfection cabinet to use the disinfection mode for disinfection in the use time zone in the current use cycle.

[0059] For example, the predicted disinfection time and disinfection mode of the current use cycle of the disinfection cabinet correspond to 7-A1, 12-A2 and 20-A3, and then the disinfection cabinet is controlled to use the disinfection modes A1, A2 and A3 for disinfection at 7:00, 12:00 and 20:00 respectively in the day.

[0060] The embodiment predicts the use time zone and disinfection mode of the disinfection cabinet in the current use cycle by using the operation data of the disinfection cabinet in a plurality of historical use cycles, and controls the disinfection cabinet to use the predicted disinfection mode for disinfection in the predicted use time zone in the current use cycle. Therefore, the embodiment can control the disinfection cabinet to automatically disinfect based on historical operation data, i.e., user habits, reduce manual intervention, and thus improve the intelligent level of disinfection cabinet control.

[0061] The application further proposes another embodiment of a control method of a disinfection cabinet, as shown in Figure 4 Figure 4 ​is a flowchart of an embodiment of a control method of the sterilizing cabinet. The control method of the embodiment specifically comprises the following steps:

[0062] Step S41: Obtain operation data of the sterilizing cabinet in a plurality of historical use cycles.

[0063] Step S42: Predict a use time zone and a disinfection mode of the sterilizing cabinet in a current use cycle based on the operation data.

[0064] Step S43: Control the sterilizing cabinet to adopt the disinfection mode for disinfection in the use time zone in the current use cycle.

[0065] Steps S41 to S43 are similar to steps S11 to S13 described above, and will not be described here.

[0066] Step S44: Obtain a habit coefficient based on the operation data of the sterilizing cabinet in the current use cycle, wherein the habit coefficient increases with an increase in the number of use cycles of the sterilizing cabinet.

[0067] After the current use cycle ends, the operation data of the sterilizing cabinet in the current use cycle is obtained, and the habit coefficient is obtained based on the operation data.

[0068] Step S45: Correct the use frequency based on the habit coefficient.

[0069] On the basis of the above-mentioned embodiment, the use frequency of the disinfection mode in the use time zone is corrected by using the operation data of the sterilizing cabinet in the current use cycle in the embodiment, which can improve the accuracy of the disinfection mode prediction.

[0070] Optionally, the embodiment can implement step S44 through steps S51 to S55 of the method as shown in Figure 5 and implement step S45 through step S56 of the method as shown in Figure 5 .

[0071] Step S51: Calculate a first ratio between the serial number of the time zone in which the sterilizing cabinet is currently running in the current use cycle and the total number of time zones in a use cycle.

[0072] Calculate a first ratio n / m between the serial number n of the time zone in which the sterilizing cabinet is currently running in the current use cycle and the total number m of time zones in a use cycle of the sterilizing cabinet.

[0073] Step S52: Calculate a difference between the number of use cycles corresponding to the current use cycle of the sterilizing cabinet and the total number of a plurality of historical use cycles.

[0074] Calculate a difference d between the number of use cycles corresponding to the current use cycle of the disinfection cabinet and the total number e of the plurality of historical use cycles. For example, the current use cycle of the disinfection cabinet is the 15th day, and the total number e of the plurality of historical use cycles is 14 days, so d is 1.

[0075] Step S53: Calculate the product of the difference and the evaluation coefficient of the user for the disinfection cabinet, and the sum of the total number of the plurality of historical use cycles and the difference.

[0076] Calculate the product d*c of the difference d and the evaluation coefficient c of the user for the disinfection cabinet, and the sum of the total number e of the plurality of historical use cycles and the difference d.

[0077] Step S54: Calculate a second ratio between the product and the sum.

[0078] For example, the second ratio is d*c / (14+d).

[0079] Step S55: Calculate the sum of the preset constant, the first ratio, and the second ratio as the habit coefficient.

[0080] Therefore, the habit coefficient of the present embodiment can be represented as K=a+(n / m+d*c / (e+d)); where a is a preset constant.

[0081] In an application scenario, the total number e of the plurality of historical use cycles can be 14 days; the total number of time zones in a day of the disinfection cabinet is 72, and the first ratio is n / 72; the preset constant a can be 1, that is, K=1+(n / 72+d*c / (14+d)). Of course, in other embodiments, each parameter in K can be adjusted according to user habits or the performance of the disinfection cabinet.

[0082] As can be seen from the above analysis, the later the use cycle, the larger the habit coefficient, which can increase the importance of the operation data of the recent use cycle, ignore the early operation data, and thus can avoid the problem of data lag, and improve the accuracy of prediction.

[0083] Step S56: Correct the use frequency to the sum of the use frequency and the habit coefficient.

[0084] Correct the use frequency of the disinfection mode in the current running time zone in the current use cycle to the sum of the use frequency and the habit coefficient, and the corrected use frequency is used as the use frequency of the disinfection mode in the time zone in the next use cycle.

[0085] Further, the evaluation coefficient includes a first evaluation coefficient and a second evaluation coefficient, and the present embodiment further includes: in response to the execution success, obtaining the first evaluation coefficient, wherein the first evaluation coefficient is greater than 1; and in response to the execution failure, obtaining the second evaluation coefficient, wherein the second evaluation coefficient is less than 0.

[0086] Successful execution means that the disinfection cabinet performs disinfection according to the predicted disinfection mode, which aligns with the user's usage preferences (habits); failure means that the disinfection cabinet performs disinfection according to the predicted disinfection mode, which does not align with the user's usage preferences (habits).

[0087] Based on the above habit coefficient K = 1 + (n / 72 + d*c / (14 + d)), it can be seen that in this embodiment, when the execution is successful, a first evaluation coefficient greater than 1 (i.e., c) is obtained, which makes K larger and increases the weight of the data of this operation in the disinfection mode prediction, making the prediction more in line with user habits; while when the execution fails, a second evaluation coefficient less than 0 (i.e., c) is obtained, which makes K smaller and reduces the weight of the data of this operation in the disinfection mode prediction, making the prediction more in line with user habits.

[0088] For example, the first evaluation coefficient could be 1.3, and the second evaluation coefficient could be -0.3. The first and second evaluation coefficients can be obtained based on the user's evaluation of the prediction; if the user has no evaluation for this operation, the evaluation coefficient can be 1.

[0089] This application further proposes a disinfection cabinet system, such as Figure 6 As shown, Figure 6 This is a schematic diagram of a disinfection cabinet system according to an embodiment of the present application. The disinfection cabinet system of this embodiment (not shown) includes: a disinfection cabinet 61 and a prediction mechanism 62 communicatively connected to the disinfection cabinet 61. The prediction mechanism 62 can be located in the cloud or on a terminal device.

[0090] The disinfection cabinet 61 in this embodiment includes a door control switch 612, a control mechanism 613, a disinfection mechanism 614, a communication mechanism 615, and a temperature sensor 616. The control mechanism 613 is connected to the door control switch 612, the disinfection mechanism 614, the communication mechanism 615, and the temperature sensor 616. The communication mechanism 615 is also connected to the prediction mechanism 62. The prediction mechanism 62 obtains the operation data of the disinfection cabinet 61 in multiple historical usage cycles through the communication mechanism 615, and predicts the usage time zone and disinfection mode of the disinfection cabinet 61 in the current usage cycle based on the operation data. In the current usage cycle, the control mechanism 613 controls the disinfection mechanism 614 of the disinfection cabinet 61 to perform disinfection in the predicted disinfection mode within the predicted usage time zone.

[0091] The prediction mechanism 62 further divides each historical usage cycle into multiple time zones of preset duration based on the first opening time of the door switch 612 within the current usage cycle.

[0092] Further, the temperature sensor 616 is used to detect the temperature in the sterilization cabinet 61, so as to monitor the temperature of the sterilization cabinet 61 and avoid abnormal dangerous situations. Or the control mechanism 613 controls other controls according to the temperature detected by the temperature sensor 616.

[0093] The working principle and control method of the sterilization cabinet of the embodiment can be used in the above-mentioned embodiments, which will not be described here.

[0094] In an application scenario, as shown in Figure 7 The sterilization cabinet is powered on for the first time or opened for the first time on the same day, the time point of the first power-on or the first opening is obtained, and the operation data of the sterilization cabinet in the previous 14 days is further obtained; each day is divided into 72 time zones with a time length of 20 minutes, the starting point of the first time zone of each day is the time point of the first power-on or the first opening, and the storage number of days is increased by one; and whether the number of historical use cycles of the sterilization cabinet is greater than 14 is judged.

[0095] If the number of historical use cycles of the sterilization cabinet is less than 14, whether the data is valid is judged, if the data is invalid, the process is ended; if the data is valid, the sterilization mode and sterilization time of the user to the sterilization cabinet are collected; if the running time length of the sterilization mode is greater than 20 minutes, the number of time zones n is obtained according to the running time length of the sterilization mode, then the number of time zones is accumulated, and the use frequency of the sterilization mode in the current time zone is corrected by using the habit coefficient; if the running time length of the sterilization mode is less than or equal to 20 minutes, the number of time zones is increased by 1; if the number of time zones is greater than or equal to 72, the number of days d is increased by 1, and the habit coefficient is calculated; if the number of time zones is less than 72, the process returns to the step of judging whether the data is valid.

[0096] Further, if the number of historical use cycles of the sterilization cabinet is greater than or equal to 14, the operation data of the same day can also be used as the historical operation data of the subsequent use cycle (the operation data of the earliest historical use cycle is deleted), and the operation data of the same day is processed by using the above-mentioned method.

[0097] If the number of historical use cycles of the sterilization cabinet is greater than or equal to 14, the running functions (sterilization modes) and frequencies (total running coefficients of each time zone) of the 72 time zones in the previous 14 days of the same day are counted; the top three time zones and the running functions (sterilization modes) with the most use frequencies in each of the top three time zones are counted; the corresponding running function is predicted when the starting time of the top three time zones is reached; and the evaluation coefficient is set to 1.3 after successful execution, and the evaluation coefficient is set to -0.3 after unsuccessful execution, and the habit coefficient is adjusted by using the evaluation coefficient, so as to correct the use frequency of the predicted sterilization mode by using the adjusted habit coefficient.

[0098] The application further provides a computer readable storage medium, such as Figure 7As shown, the computer readable storage medium 160 of the embodiment is configured to store program data 161 of the above embodiment, and the program data 161 can be executed to realize: obtaining operation data of the sterilization cabinet in a plurality of historical use cycles; predicting a use time zone and a sterilization mode of the sterilization cabinet in a current use cycle based on the operation data; and controlling the sterilization cabinet to adopt the sterilization mode to sterilize in the use time zone in the current use cycle.

[0099] The program data 161 can be executed to further realize the control method of the sterilization cabinet. The program data 161 has been described in detail in the above method embodiment, and will not be described here.

[0100] The computer readable storage medium 160 of the embodiment can be, but is not limited to, a U disk, an SD card, a PD optical drive, a mobile hard disk, a large-capacity floppy disk drive, a flash memory, a multimedia memory card, a server, etc.

[0101] Different from the prior art, the control method of the sterilization cabinet of the application predicts a use time zone and a sterilization mode of the sterilization cabinet in a current use cycle based on operation data of the sterilization cabinet in a plurality of historical use cycles, and controls the sterilization cabinet to adopt the predicted sterilization mode to sterilize in the predicted use time zone in the current use cycle. Therefore, the application can control the sterilization cabinet to automatically sterilize based on historical operation data, i.e., user habits, reduce manual intervention, and thus can improve the intelligent level of the control of the sterilization cabinet.

[0102] In addition, when the above functions are realized in the form of software functions and sold or used as independent products, they can be stored in a mobile terminal readable storage medium, i.e., the application also provides a storage device storing program data, and the program data can be executed to realize the method of the above embodiment, and the storage device can be, for example, a U disk, an optical disk, a server, etc. That is, the application can be embodied in the form of a software product, which includes a plurality of instructions for causing an intelligent terminal to execute all or part of the steps of the method described in each embodiment.

[0103] In the description of the application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that the specific features, mechanisms, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the application. In the description, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, mechanisms, materials or characteristics described can be combined in any suitable manner in any one or more embodiments or examples. In addition, the skilled in the art can combine and combine the different embodiments or examples described in the description and the features of the different embodiments or examples without contradiction.

[0104] In addition, the terms "first", "second", etc. are used herein only to describe different instances, and do not imply or suggest relative importance or a number of the technical features indicated. Thus, the features defined with "first", "second", etc. can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, such as two, three, etc., unless otherwise explicitly specified.

[0105] Any process or method descriptions or descriptions of the flow diagrams described herein, or otherwise described in this application, can be understood as representing the acts of an apparatus, a piece of code, or a portion of code, that can be implemented as executable instructions, and the scope of the preferred embodiments of this application includes additional implementation involving the acts described in the same order as shown or discussed, in a different order, in a different combination, or in a different manner, as well as additional implementation involving additional acts not recited in the flow diagrams described herein, or otherwise described in this application, as will be understood by those skilled in the art.

[0106] The logic and / or steps represented in the flow diagrams described herein, or otherwise described in this application, for example, can be considered as a list of instructions to implement logic functions, and the scope of the preferred embodiments of this application includes additional implementation involving the acts described in the same order as shown or discussed, in a different order, in a different combination, or in a different manner, as well as additional implementation involving additional acts not recited in the flow diagrams described herein, or otherwise described in this application, as will be understood by those skilled in the art.

[0107] The above description is merely that of the preferred embodiments of the present application, and is not intended to limit the scope of the patent of the present application, and any equivalent mechanism or equivalent flow transformation using the content of the specification and drawings of the present application, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A control method for a disinfection cabinet, characterized in that, include: Obtain operational data of the disinfection cabinet over multiple historical usage periods; Based on the operational data, predict the usage time zone and disinfection mode of the disinfection cabinet within the current usage cycle; During the current usage cycle, the disinfection cabinet is controlled to perform disinfection in the disinfection mode within the usage time zone; Wherein, after controlling the disinfection cabinet to perform disinfection in the disinfection mode during the usage time zone, the process further includes: A habit coefficient is obtained based on the operation data of the disinfection cabinet within the current usage cycle, wherein the habit coefficient increases as the number of usage cycles of the disinfection cabinet increases; The frequency of use of the disinfection mode is adjusted based on the aforementioned habit coefficient; The habit coefficient obtained based on the operation data of the disinfection cabinet during the current usage cycle includes: Calculate a first ratio between the ordinal number of the time zone currently in operation of the disinfection cabinet within the current usage cycle and the total number of time zones within the usage cycle of the disinfection cabinet; Calculate the difference between the number of usage cycles corresponding to the current usage cycle of the disinfection cabinet and the total number of the multiple historical usage cycles; Calculate the product between the difference and the user's evaluation coefficient for the disinfection cabinet, and the sum of the total number of the multiple historical usage cycles and the difference; Calculate the second ratio between the product and the sum; The sum of the preset constant, the first ratio, and the second ratio is calculated as the habit coefficient; The correction of the number of uses based on the habit coefficient includes: The number of uses is adjusted to be the sum of the number of uses and the habit coefficient.

2. The control method according to claim 1, characterized in that, The prediction of the usage time zone and disinfection mode of the disinfection cabinet within the current usage cycle based on the operational data includes: Each historical usage period is divided into multiple time zones of a preset duration. The total number of times the disinfection cabinet was operated in each time zone within the multiple historical usage cycles was statistically analyzed. Sort the total number of runs from largest to smallest, and obtain the time zones corresponding to the top N total number of runs as the usage time zones of the disinfection cabinet, wherein N is greater than or equal to 1.

3. The control method according to claim 2, characterized in that, The step of predicting the usage time zone and disinfection mode of the disinfection cabinet within the current usage cycle based on the operational data further includes: Obtain the disinfection mode used in each time zone corresponding to the first N total number of runs, and the number of times the disinfection mode is used; The disinfection mode corresponding to the maximum number of times of use is obtained as the disinfection mode for the corresponding time zone.

4. The control method according to claim 2, characterized in that, The step of dividing each historical usage period into multiple time zones of a preset duration includes: The start command of the disinfection cabinet is detected, and the start time of the disinfection cabinet is obtained; Using the start time as the starting point of the first time zone of the historical usage cycle, each historical usage cycle is divided into multiple time zones of a preset duration.

5. The control method according to claim 1, characterized in that, The evaluation coefficient includes a first evaluation coefficient and a second evaluation coefficient. After controlling the disinfection cabinet to perform disinfection in the disinfection mode during the usage time zone, the evaluation further includes: In response to successful execution, the first evaluation coefficient is obtained, wherein the first evaluation coefficient is greater than 1; In response to execution failure, the second evaluation coefficient is obtained, wherein the second evaluation coefficient is less than 0.

6. The control method according to claim 1, characterized in that, The acquisition of operational data for the disinfection cabinet over multiple historical usage periods includes: The operation data within a set number of consecutive historical usage cycles is obtained from the historical operation data of the disinfection cabinet, wherein the last usage cycle number of the multiple historical usage cycles is adjacent to the usage cycle number of the current usage cycle.

7. A disinfection cabinet system, characterized in that, The device includes a disinfection cabinet and a predictive mechanism that is communicatively connected to the disinfection cabinet. The predictive mechanism controls the operation of the disinfection cabinet using the control method of the disinfection cabinet according to any one of claims 1 to 6.

8. A computer storage medium, characterized in that, It stores program data that can be executed to implement the control method of the disinfection cabinet according to any one of claims 1-6.

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