IoT-based baking control program optimization method and system

Abstract

The present application relates to the field of baking control, and discloses a method and system for optimizing a baking control program based on the Internet of Things, the method comprising: when the set total baking time is greater than the preset total baking time, after the target baking device starts baking for the first time, obtaining multiple first baking parameters of the target baking device within the first time based on the Internet of Things, the multiple first baking parameters including the set total baking time, the baking cavity volume, the baked food category, the first baking time sequence power, the first baking time sequence temperature and the first baking time sequence humidity; wherein the first time is determined by the baking cavity volume, the baked food category and the first baking time sequence power, and the first time is less than the set total baking time; according to the multiple first baking parameters within the first time, determining the second baking time sequence power of the target baking device within the second time. The present application can optimize the baking process through a baking control program based on the Internet of Things.

Description

Technical Field

[0001] The present application relates to the field of baking control technology, and more specifically, to a baking control program optimization method and system based on the Internet of Things. Background Art

[0002] Small household baking equipment refers to equipment used for baking food in a home environment, such as bread machines, ovens, and dryers. Small household baking equipment is widely used in home baking. Small household baking equipment has the advantages of simple operation and convenient use. During the baking process of small household baking equipment, multiple parameters such as temperature, humidity, and time need to be precisely controlled to ensure the quality and taste of the baked food. Existing small household baking equipment has the function of baking through programmed control. General small household baking equipment often has a variety of built-in baking programs, such as fermentation, baking, heating and other functions. Users can choose different baking programs to meet the baking requirements of different types of food. Baking programs are usually managed and executed by microcontrollers or embedded systems.

[0003] With the application of the Internet of Things in the field of home appliances, the use of the Internet of Things to provide baking control parameters for the baking process has been widely used in small household baking equipment. For example, patent CN107634980B (application number: CN201710579306.0) provides a control method based on the Internet of Things, which is applicable to a smart home system. The smart home system includes an Internet of Things server and a smart oven, including: the Internet of Things server obtains a recipe for a dish to be baked; the Internet of Things server determines the baking temperature and baking time according to the recipe; the Internet of Things server sends a control instruction to the smart oven, the control instruction carries the baking temperature and baking time, and the control instruction is used to instruct the smart oven to perform a baking operation according to the baking temperature and baking time. However, the baking control method based on the Internet of Things in patent CN107634980B cannot optimize the baking process. Summary of the invention

[0004] The purpose of this application is to provide a baking control program optimization method and system based on the Internet of Things, which solves the technical problem that the baking control method based on the Internet of Things cannot optimize the baking process, and achieves the technical effect of optimizing the baking process through a baking control program based on the Internet of Things.

[0005] An embodiment of the present application provides a baking control program optimization method based on the Internet of Things, the method comprising: when the set total baking time is greater than the preset total baking time, after the target baking device starts baking for the first time, obtaining multiple first baking parameters of the target baking device within the first time based on the Internet of Things, the multiple first baking parameters including the set total baking time, the baking cavity volume, the baked food category, the first baking sequence power, the first baking sequence temperature and the first baking sequence humidity; wherein the first time is determined by the baking cavity volume, the baked food category and the first baking sequence power, and the first time is less than the set total baking time; determining the second baking sequence power of the target baking device within the second time according to the multiple first baking parameters within the first time, and controlling the target baking device to bake according to the second baking sequence power within the second time based on the Internet of Things.

[0006] In a possible implementation, the first duration is determined by the baking cavity volume, the baked food category and the first baking timing power, including: determining the baking monitoring basic duration corresponding to the target baking equipment through the baking cavity volume, and determining the food category factor according to the baked food category, and determining the baking power factor according to the first baking timing power; and dividing the product of the baking monitoring basic duration and the food category factor by the baking power factor as the first duration.

[0007] In another possible implementation, the method also includes: determining the basic baking monitoring time corresponding to the target baking equipment through the volume of the baking cavity, and determining the food category factor according to the category of the baked food, determining the baking power factor according to the first baking sequence power, and determining the baking humidity factor according to the first baking sequence humidity; wherein, the ratio of the minimum humidity value and the maximum humidity value of the first baking sequence humidity is used as the baking humidity factor; and the product of the basic baking monitoring time, the food category factor, and the baking humidity factor is divided by the baking power factor as the second time.

[0008] In another possible implementation, the method also includes: when the average value of the first baking timing temperature is greater than the preset baking temperature average value, and the baking humidity factor is greater than the preset baking humidity factor, determining the baking end stage duration and the baking end stage timing power of the target baking equipment within the baking end stage duration according to multiple first baking parameters within the first time duration, and controlling the target baking equipment to bake according to the baking end stage timing power within the baking end stage duration based on the Internet of Things.

[0009] In another possible implementation, the method also includes: obtaining the maximum baking humidity of the target baking equipment and the minimum end baking power in the baking end stage timing power within the baking end stage duration; when the maximum baking humidity is greater than the preset baking humidity value, controlling the target baking equipment to extend the preset baking time according to the minimum end baking power.

[0010] In another possible implementation, the method also includes: when the set total baking time is greater than the preset total baking time, obtaining the Internet of Things connection status of the target baking device; when the Internet of Things connection status is not connected, controlling the target baking device to bake according to the baking program preset by the target baking device within the second time period; or when the Internet of Things connection status is connected, when the target baking device does not obtain the second baking timing power within the second time period within the third time period after the first time period, controlling the target baking device to bake according to the baking program preset by the target baking device within the second time period.

[0011] An embodiment of the present application also provides a baking control program optimization system based on the Internet of Things, including a unit for executing any of the methods described above.

[0012] An embodiment of the present application also provides a baking control program optimization system based on the Internet of Things, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method described in any one of the above items is implemented.

[0013] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above items is implemented.

[0014] An embodiment of the present application further provides a computer program product, including a computer program, which implements the steps of any of the above methods when executed by a processor.

[0015] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0016] The embodiment of the present application provides a method for optimizing a baking control program based on the Internet of Things, the method comprising: when the set total baking time is greater than the preset total baking time, after the target baking device starts baking for the first time, obtaining multiple first baking parameters of the target baking device within the first time based on the Internet of Things, the multiple first baking parameters include the set total baking time, the baking cavity volume, the baked food category, the first baking time sequence power, the first baking time sequence temperature and the first baking time sequence humidity; wherein the first time is determined by the baking cavity volume, the baked food category and the first baking time sequence power, and the first time is less than the set total baking time; according to the multiple first baking parameters within the first time, determining the second baking time sequence power of the target baking device within the second time, and controlling the target baking device to bake according to the second baking time sequence power within the second time based on the Internet of Things. The method for optimizing a baking control program based on the Internet of Things in the embodiment of the present application can control the subsequent baking process based on the Internet of Things through the change of baking parameters in a short time when the baking time is long, thereby improving the control effect of baking and improving the effect of baking by users using the target baking device. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] Figure 1 A flowchart of a baking control program optimization method based on the Internet of Things provided in an embodiment of the present application;

[0019] Figure 2 A schematic diagram of the working process of a baking control program optimization method based on the Internet of Things provided in an embodiment of the present application;

[0020] Figure 3 A schematic flow chart of a second method for optimizing a baking control program based on the Internet of Things provided in an embodiment of the present application;

[0021] Figure 4 A schematic flow chart of a third method for optimizing a baking control program based on the Internet of Things provided in an embodiment of the present application;

[0022] Figure 5 A schematic flow chart of a fourth method for optimizing a baking control program based on the Internet of Things provided in an embodiment of the present application;

[0023] Figure 6A logical structure diagram of an enterprise marketing recommendation device based on city industrial chain integration provided in an embodiment of the present application;

[0024] Figure 7 A schematic diagram of the physical structure of an enterprise marketing recommendation device based on the integration of urban industrial chains provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0026] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0027] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0028] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0029] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0030] With the application of IoT in the field of home appliances, providing baking control parameters for the baking process through IoT has been widely used in small home appliance baking equipment. However, the existing baking control method based on IoT cannot optimize the baking process.

[0031] Based on the above reasons, the embodiment of the present application provides a method for optimizing a baking control program based on the Internet of Things, the method comprising: when the set total baking time is greater than the preset total baking time, after the target baking device starts baking for the first time, obtaining multiple first baking parameters of the target baking device within the first time based on the Internet of Things, the multiple first baking parameters include the set total baking time, the baking cavity volume, the baked food category, the first baking time sequence power, the first baking time sequence temperature and the first baking time sequence humidity; wherein the first time is determined by the baking cavity volume, the baked food category and the first baking time sequence power, and the first time is less than the set total baking time; according to the multiple first baking parameters within the first time, determining the second baking time sequence power of the target baking device within the second time, and controlling the target baking device to bake according to the second baking time sequence power within the second time based on the Internet of Things. The method for optimizing a baking control program based on the Internet of Things in the embodiment of the present application can control the subsequent baking process based on the Internet of Things through the change of baking parameters in a short time when the baking time is long, thereby improving the control effect of baking and improving the effect of baking by users using the target baking device.

[0032] In some scenarios, a baking control program optimization method based on the Internet of Things in an embodiment of the present application can be applied to the baking control of ovens of various specifications. During the baking process, the baking parameters can be optimized and controlled through the Internet of Things, which facilitates continuous iterative optimization of the baking control effect and improves the use effect of the target baking equipment.

[0033] The following is a specific example of a baking control program optimization method based on the Internet of Things provided in an embodiment of the present application.

[0034] Figure 1 A flowchart of a baking control program optimization method based on the Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method includes S110 to S120, and S110 to S120 are described in detail below.

[0035] S110: When the set total baking time is greater than the preset total baking time, after the target baking device starts baking for the first time, a plurality of first baking parameters of the target baking device within the first time are obtained based on the Internet of Things, wherein the plurality of first baking parameters include the set total baking time, the baking cavity volume, the baked food category, the first baking time sequence power, the first baking time sequence temperature, and the first baking time sequence humidity. The first time is determined by the baking cavity volume, the baked food category, and the first baking time sequence power, and the first time is less than the preset total baking time.

[0036] When using traditional baking equipment, a fixed baking program is often used to complete the baking process of a specific food category. The total baking time is a fixed value determined according to the baking program, and the user cannot adjust the total baking time.

[0037] In an embodiment of the present application, when a user uses a target baking device to bake, the user can first set a total baking time for the target baking device through a knob or other structure, and set the total baking time to the time planned by the user for this baking, so that the user can freely adjust the baking time.

[0038] For example, when the user determines to set the total baking time, the user can determine the total baking time according to the baking time corresponding to different categories of food, and then adjust the baking time in a personalized manner while ensuring that the food is baked and heated thoroughly to meet the user's baking time schedule.

[0039] In an embodiment of the present application, the set total baking time of the target baking equipment can be first obtained. When the set total baking time is greater than the preset total baking time, the preset total baking time is used as a condition for determining whether the baking time needs to be adjusted through the Internet of Things. When the set total baking time is greater than the preset total baking time, it means that the baking time is long, and the baking parameters can be further controlled through the Internet of Things to improve the baking effect.

[0040] For example, the preset total baking time may be 1 minute, 3 minutes or 5 minutes. When the total baking time is set to be less than or equal to the preset total baking time, the user may use the target baking device only to temporarily heat food, and there is no need to control the parameters of the target baking device through the Internet of Things.

[0041] After the target baking device starts baking for the first time, it means that the target baking device has started baking for a certain time, and the baking parameters can be adjusted in real time. Multiple first baking parameters of the target baking device within the first time can be obtained based on the Internet of Things, and the subsequent baking process can be controlled through the multiple first baking parameters within the first time.

[0042] Figure 2A schematic diagram of the working process of a baking control program optimization method based on the Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, a plurality of first baking parameters may be transmitted to a control center through a target baking device, and the control center centrally controls the plurality of baking devices.

[0043] During operation, multiple first baking parameters may include setting the total baking time, the baking cavity volume, the type of baked food, the first baking time sequence power, the first baking time sequence temperature and the first baking time sequence humidity. The multiple first baking parameters characterize the baking process within the first time length, and the subsequent baking process can be controlled by the multiple first baking parameters.

[0044] During operation, the total baking time is set to the total baking time set by the user when using the target baking device. For example, the total baking time may be set to 20 minutes, 30 minutes or 1 hour.

[0045] During operation, the baking cavity volume represents the size of the baking cavity, and the baking cavity volume affects the heating efficiency when the food is baked and heated. For example, when the target baking device is an oven, the baking cavity volume is the size of the oven.

[0046] Exemplarily, the baking cavity volume may be pre-stored in an IoT communication component of the target baking device, and the IoT communication component may send the baking cavity volume to a control center.

[0047] Exemplarily, the control center may be a server or a user terminal, such as a mobile phone.

[0048] During operation, the baked food category is the food category set by the user on the target baking equipment, and different food categories correspond to different baking processes to ensure the baking effect of the food of the corresponding food category.

[0049] Exemplarily, the categories of baked food may be pastries of different thicknesses, different categories of meat products, and the like.

[0050] During operation, the first baking timing power is the baking power on the timing, the first baking timing temperature is the baking temperature on the timing, and the first baking timing humidity is the baking humidity on the timing. The first baking timing temperature and the first baking timing humidity can be detected by a temperature sensor and a humidity sensor arranged in the baking cavity of the target baking equipment.

[0051] Exemplarily, in order to ensure the accuracy of detecting the temperature and humidity in the baking cavity of the target baking equipment, the average temperature value detected by multiple temperature sensors in the baking cavity of the target baking equipment can be used as the detected temperature value, and the average humidity value detected by multiple humidity sensors can be used as the detected humidity value.

[0052] In different baking processes, when the baking cavity volume, the type of baked food and the first baking timing power are different, the degree of progress of the baking process may be different. Therefore, the first duration can be determined by the baking cavity volume, the type of baked food and the first baking timing power, and the first duration represents the frequency of adjusting the baking process.

[0053] During operation, the first time duration is less than the set total baking time duration, so as to ensure that the baking process can be adjusted within the set total baking time duration.

[0054] Exemplarily, the first duration may be 3 minutes, 5 minutes or 10 minutes.

[0055] S120: Determine a second baking sequence power of a target baking device within a second time period according to a plurality of first baking parameters within a first time period, and control the target baking device to bake according to the second baking sequence power within the second time period based on the Internet of Things.

[0056] When adjusting the baking process, after obtaining multiple first baking parameters within the first time length, the second baking timing power of the target baking equipment within the second time length can be determined according to the multiple first baking parameters within the first time length, and the second baking timing power within the second time length is used to control the subsequent baking process.

[0057] After obtaining the second baking timing power within the second time period, the target baking device can be controlled based on the Internet of Things to bake according to the second baking timing power within the second time period, and then the baking process can be controlled within the second time period subsequent to the first time period to improve the baking effect.

[0058] Exemplarily, the second duration may be 5 minutes, 10 minutes or 15 minutes.

[0059] Exemplarily, the second baking sequence power is the baking power that needs to be controlled according to the sequence within the second time period.

[0060] Exemplarily, an Internet of Things component may be provided on the target baking device, and when the baking parameters are transmitted based on the Internet of Things, data is transmitted between the control center and the target baking device through the Internet of Things component.

[0061] The beneficial effect brought about by the above implementation method is that the subsequent baking process is controlled by changing the baking parameters in a short period of time based on the Internet of Things, thereby improving the control effect of baking and improving the baking effect of the user using the target baking equipment.

[0062] The beneficial effect brought about by the above-mentioned implementation method is that the first duration is determined by the baking cavity volume, the type of baked food and the first baking timing power, so that the frequency of baking process adjustment can be determined in a personalized manner, thereby improving the personalization of baking process control.

[0063] The beneficial effect brought about by the above implementation method is that the baking time can be adjusted in a personalized manner while ensuring that the food is baked and heated thoroughly to meet the user's baking schedule.

[0064] In some implementations, in the above S110, the first duration is determined according to the volume of the baking cavity, the type of baked food, and the first baking timing power, including S111 to S112, which are described in detail below.

[0065] S111. Determine a basic baking monitoring duration corresponding to the target baking equipment according to the volume of the baking cavity, determine a food category factor according to the category of the baked food, and determine a baking power factor according to the first baking time sequence power.

[0066] During operation, the basic baking monitoring time corresponding to the target baking equipment can be determined by the baking cavity volume. The basic baking monitoring time represents the basic time for monitoring the baking process. The basic baking monitoring time can be subsequently adjusted to obtain the first time.

[0067] Exemplarily, when determining the basic baking monitoring time corresponding to the target baking equipment through the baking cavity volume, an empirical value table of the baking cavity volume and the basic baking monitoring time can be constructed, and the basic baking monitoring time can be determined according to the baking cavity volume through the empirical value table.

[0068] Exemplarily, when the volume of the baking cavity is larger, the basic baking monitoring time may be longer; and when the volume of the baking cavity is smaller, the basic baking monitoring time may be shorter.

[0069] When working, the food category factor can be determined according to the category of baked food. The food category factor represents the influence of different food categories on the baking process.

[0070] Exemplarily, the food category factor may be determined according to the baked food category through an empirical value table corresponding to the baked food category and the food category factor.

[0071] Exemplarily, when the food corresponding to the baked food category is more difficult to bake, the food category factor may be larger; when the food corresponding to the baked food category is easier to bake, the food category factor may be smaller.

[0072] During operation, a baking power factor may be determined according to the first baking sequence power, and the baking power factor represents the influence of the first baking sequence power on the subsequent baking process.

[0073] Exemplarily, the baking power factor may be determined according to the first baking sequence power through an empirical value table corresponding to the first baking sequence power and the baking power factor.

[0074] Exemplarily, when the average power value of the first baking timing power is larger, the baking power factor may be larger; and when the average power value of the first baking timing power is smaller, the baking power factor may be smaller.

[0075] S112: dividing the product of the basic baking monitoring time and the food category factor by the baking power factor as the first time.

[0076] During operation, the product of the baking monitoring basic time and the food category factor divided by the baking power factor may be used as the first time to calculate the first time.

[0077] Through the above calculation method, when the baking cavity volume is larger, the temperature control frequency requirement of the baking process is higher at the same power; when the baking cavity volume is smaller, the temperature control frequency requirement of the baking process is lower at the same power. And when the food corresponding to the baked food category is more difficult to bake, the food category factor can be larger; when the food corresponding to the baked food category is easier to bake, the food category factor can be smaller. And when the average power value of the first baking time sequence power is larger, the baking power factor can be larger; when the average power value of the first baking time sequence power is smaller, the baking power factor can be smaller.

[0078] Therefore, when calculating the first duration, the larger the volume of the baking cavity, the longer the basic baking monitoring time; when the food corresponding to the baked food category is more difficult to bake and the smaller the average power value of the first baking timing power is, the longer the first duration; the smaller the volume of the baking cavity, the shorter the basic baking monitoring time; when the food corresponding to the baked food category is easier to bake and the larger the average power value of the first baking timing power is, the shorter the first duration, thereby achieving scientific baking monitoring.

[0079] The beneficial effect brought about by the above-mentioned implementation method is that when the volume of the baking cavity is larger, the basic baking monitoring time is longer; when the food corresponding to the baked food category is more difficult to bake and the average power value of the first baking timing power is smaller, the first time is longer and the monitoring frequency corresponding to the first time is smaller; conversely, the smaller the first time is, the larger the monitoring frequency corresponding to the first time is; the monitoring frequency can be scientifically determined according to the first time, thereby improving the baking control effect.

[0080] Figure 3 A flowchart of a second method for optimizing a baking control program based on the Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 3As shown, the above method further includes S210 to S220, and S210 to S220 are described in detail below.

[0081] S210, determining the baking monitoring basic duration corresponding to the target baking equipment according to the baking cavity volume, determining the food category factor according to the baked food category, determining the baking power factor according to the first baking time sequence power, and determining the baking humidity factor according to the first baking time sequence humidity. The ratio of the minimum humidity value to the maximum humidity value of the first baking time sequence humidity is used as the baking humidity factor.

[0082] The first duration is the duration of the current cycle for monitoring the baking parameters, and the second duration is the duration of the next cycle for monitoring the baking parameters. When determining the second duration for monitoring the baking parameters, the basic baking monitoring duration corresponding to the target baking equipment can also be determined by the baking cavity volume, and the food category factor can be determined according to the category of the baked food, and the baking power factor can be determined according to the first baking sequence power. In addition to the food category factor and the baking power factor, the baking humidity factor can also be determined according to the first baking sequence humidity. The baking humidity factor characterizes the degree of influence of humidity changes during the baking process on the baking process.

[0083] When determining the baking humidity factor, the baking humidity factor may be a ratio of a minimum humidity value to a maximum humidity value of the first baking time sequence humidity within the first time period.

[0084] S220: dividing the product of the basic baking monitoring time, the food category factor, and the baking humidity factor by the baking power factor to obtain a second time.

[0085] After obtaining the above-mentioned basic baking monitoring time, food category factor, and baking humidity factor, you can first calculate the product of the basic baking monitoring time, food category factor, and baking humidity factor, and divide the product of the basic baking monitoring time, food category factor, and baking humidity factor by the baking power factor as the second time to reasonably determine the second time.

[0086] The beneficial effect brought about by the above-mentioned implementation method is that when the basic baking monitoring time, food category factor and baking humidity factor are larger, especially when the ratio of the maximum humidity value to the minimum humidity value of the first baking time sequence humidity within the first time period is smaller, that is, the greater the humidity change amplitude within the first time period, the smaller the second time period, so that when the humidity change amplitude during baking is larger, the monitoring time of the baking parameters is shorter, which can improve the timeliness of the control of the baking process and improve the effect of monitoring the baking process.

[0087] In some implementations, the above method also includes: when the average value of the first baking timing temperature is greater than the preset baking temperature average value, and the baking humidity factor is greater than the preset baking humidity factor, determining the baking end stage duration and the baking end stage timing power of the target baking equipment within the baking end stage duration according to multiple first baking parameters within the first time duration, and controlling the target baking equipment to bake according to the baking end stage timing power within the baking end stage duration based on the Internet of Things.

[0088] When controlling the baking process, when the average value of the first baking time sequence temperature is greater than the preset baking temperature average value, it means that the baking temperature within the first time period is high, and when the baking humidity factor is greater than the preset baking humidity factor, it means that the change in baking humidity is not large. At this time, it means that the baking has entered the baking end stage, and the corresponding baking parameters can be determined for the baking end stage.

[0089] When determining the baking parameters corresponding to the baking end stage, the baking end stage duration and the baking end stage timing power of the target baking equipment within the baking end stage duration can be determined according to multiple first baking parameters within the first duration, so as to individually control the baking effect of the baking end stage.

[0090] Exemplarily, when the baking end stage duration and the baking end stage sequential power can be determined based on multiple first baking parameters within the first time period, a baking end stage experience value table corresponding to the multiple first baking parameters within the first time period and the baking end stage duration and the baking end stage sequential power can be determined based on experience values, and the baking end stage duration and the baking end stage sequential power of the target baking equipment within the baking end stage duration can be determined through the baking end stage experience value table, and the baking end stage sequential power is a plurality of baking power values ​​on the sequence within the baking end stage.

[0091] After obtaining the baking end stage duration and the baking end stage sequential power, the target baking equipment can be controlled based on the Internet of Things to bake within the baking end stage duration according to the baking end stage sequential power, thereby realizing the control of the baking end stage.

[0092] After the target baking device is controlled based on the Internet of Things to bake according to the baking end stage timing power within the baking end stage duration, the target baking device is automatically shut down, and the baking power of the target baking device reaches 0, and there is no need to control the baking parameters through the Internet of Things.

[0093] The beneficial effect brought about by the above-mentioned implementation method is that when the baking temperature is high and the change range of the baking humidity is not large within the first time period, it is judged that the baking process has entered the end stage. The target baking equipment can be controlled based on the Internet of Things to bake according to the baking end stage timing power within the baking end stage duration. After that, the target baking equipment automatically shuts down, thereby achieving complete control of the baking process.

[0094] Figure 4 A flowchart of a third method for optimizing a baking control program based on the Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the above method also includes S310 to S320, and S310 to S320 are described in detail below.

[0095] S310. Within the duration of the baking end stage, obtain the maximum baking humidity of the target baking equipment and the minimum baking end power in the baking end stage timing power.

[0096] During the baking control process at the end of baking stage, the baking humidity can be further monitored during the end of baking stage to avoid poor baking effect. Specifically, the maximum baking humidity of the target baking equipment can be obtained. The maximum baking humidity represents the maximum baking humidity during the end of baking stage.

[0097] At the same time, the minimum baking end power in the baking end stage time sequence power can be obtained, and the minimum baking end power is the minimum baking power before stopping baking within the baking end stage duration.

[0098] S320: When the maximum baking humidity is greater than the preset baking humidity value, the target baking equipment is controlled to extend the preset baking time according to the minimum baking end power.

[0099] During operation, when the maximum baking humidity is greater than the preset baking humidity value, it means that the baking humidity in the baking end stage is still high. The target baking equipment can be controlled to extend the preset baking time according to the minimum baking end power to increase the baking time and ensure the baking effect.

[0100] Exemplarily, the preset baking time may be 1 / 5 to 1 / 3 of the time of the baking end stage.

[0101] For example, the preset baking humidity value may be determined by empirical values, and the preset baking humidity values ​​corresponding to different food categories may be different.

[0102] The beneficial effect brought about by the above-mentioned implementation method is that during the baking control process at the end of baking, the baking humidity is reviewed and tested. When the maximum baking humidity within the end of baking is too high, the baking effect is improved by extending the baking time at the end of baking.

[0103] The beneficial effect brought about by the above-mentioned implementation method is that when the baking process is monitored under the condition that the baking humidity factor in the above-mentioned method is greater than the preset baking humidity factor, the baking humidity has been judged and monitored, and further by comparing the maximum baking humidity within the baking end stage with the preset baking humidity value, it is ensured that the baking humidity within the baking end stage can be further monitored and controlled, thereby ensuring the accuracy of the baking monitoring process.

[0104] Figure 5 A flowchart of a fourth method for optimizing a baking control program based on the Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the above method further includes S410 to S420, and S410 to S420 are described in detail below.

[0105] S410: When the set total baking time is greater than the preset total baking time, the IoT connection status of the target baking device is obtained.

[0106] During operation, when the set total baking time is greater than the preset total baking time, it means that the baking can be controlled through the Internet of Things. In order to ensure the reliability of the baking process controlled through the Internet of Things, the Internet of Things connection status of the target baking equipment can be obtained, and then the Internet of Things connection status of the target baking equipment can be used to determine whether the baking process of the target baking equipment can be controlled through the Internet of Things.

[0107] S420: When the IoT connection state is not connected, the target baking device is controlled to bake according to the baking program preset by the target baking device within the second time period. Or when the IoT connection state is connected, when the target baking device does not obtain the second baking time sequence power within the second time period within the third time period after the first time period, the target baking device is controlled to bake according to the baking program preset by the target baking device within the second time period.

[0108] During operation, when the IoT connection status is not connected, it means that the target baking device is not connected to the Internet. At this time, the target baking device can be controlled to bake according to the preset baking program of the target baking device within the second time period, and the baking process can be successfully completed.

[0109] When the Internet of Things connection state is connected, the baking process can be controlled through the Internet of Things through the above method. When the target baking device does not obtain the second baking time sequence power within the second time length within the third time length after the first time length, it means that the target baking device has not obtained the control parameters of the baking process from the control center. In order to ensure the smooth progress of the baking process, the target baking device can be controlled to bake according to the baking program preset by the target baking device within the second time length to ensure the smooth progress of the baking process.

[0110] Exemplarily, the third duration may be 30 seconds, 1 minute or 2 minutes.

[0111] The beneficial effect brought about by the above-mentioned implementation method is that the Internet of Things status in the baking control process is detected. When the target baking equipment is not connected to the Internet of Things or the second baking timing power within the second time period is obtained within the third time period after the first time period, the baking process is baked according to the built-in baking program, thereby ensuring the smooth progress of the baking process and improving the baking effect.

[0112] An embodiment of the present application also provides a baking control program optimization system based on the Internet of Things, including a unit for executing any of the methods described above.

[0113] Figure 6 A schematic diagram of the logical structure of a baking control program optimization system based on the Internet of Things provided in one embodiment of the present application is shown in FIG. Figure 6 As shown, the system 1 of this embodiment includes a processing unit 11, a storage unit 12 and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to send and receive data. The processing unit 11, the storage unit 12 and the transceiver unit 13 cooperate with each other to implement the above method. The beneficial effects brought by the embodiment of the present application have been described in the above method and will not be repeated here.

[0114] An embodiment of the present application also provides a baking control program optimization system based on the Internet of Things, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method described in any one of the above items is implemented.

[0115] Figure 7 A schematic diagram of the physical structure of a baking control program optimization system based on the Internet of Things provided in one embodiment of the present application, such as Figure 7 As shown, the system 2 of this embodiment includes: at least one processor 20 ( Figure 7 Only one processor 20 is shown in the figure), a memory 21, and a computer program 22 stored in the memory 21 and executable on the at least one processor 20, and the processor 20 implements the steps in any of the above-mentioned method embodiments when executing the computer program 22. The beneficial effects brought about by the embodiments of the present application have been described in the above-mentioned methods and will not be repeated here.

[0116] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0117] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0118] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0119] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0120] 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 present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0121] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0122] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0123] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0124] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0125] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A baking control program optimization method based on the Internet of Things, characterized in that: The method comprises: When the set total baking time is greater than the preset total baking time, after the target baking device starts baking for the first time, a plurality of first baking parameters of the target baking device within the first time are obtained based on the Internet of Things, wherein the plurality of first baking parameters include the set total baking time, the baking cavity volume, the baked food category, the first baking time sequence power, the first baking time sequence temperature, and the first baking time sequence humidity; wherein the first time is determined by the baking cavity volume, the baked food category, and the first baking time sequence power, and the first time is less than the set total baking time; Determine a second baking sequence power of a target baking device within a second time period according to a plurality of first baking parameters within a first time period, and control the target baking device to bake according to the second baking sequence power within the second time period based on the Internet of Things; The baking monitoring basic duration corresponding to the target baking equipment is determined by the baking cavity volume, and the food category factor is determined according to the baked food category, the baking power factor is determined according to the first baking time sequence power, and the baking humidity factor is determined according to the first baking time sequence humidity; wherein the ratio of the minimum humidity value to the maximum humidity value of the first baking time sequence humidity is used as the baking humidity factor; The second duration is obtained by dividing the product of the basic baking monitoring duration, the food category factor, and the baking humidity factor by the baking power factor; When the average value of the first baking timing temperature is greater than the preset baking temperature average value, and the baking humidity factor is greater than the preset baking humidity factor, the baking end stage duration and the baking end stage timing power of the target baking equipment within the baking end stage duration are determined according to the multiple first baking parameters within the first duration, and the target baking equipment is controlled based on the Internet of Things to bake according to the baking end stage timing power within the baking end stage duration; Within the duration of the baking end stage, obtain the maximum baking humidity of the target baking equipment and the minimum baking end power in the baking end stage timing power; When the maximum baking humidity is greater than the preset baking humidity value, the target baking equipment is controlled to extend the preset baking time according to the minimum baking end power.

2. The method according to claim 1, characterized in that The first duration is determined according to the baking cavity volume, the type of baked food and the first baking sequence power, including: Determine the basic baking monitoring time corresponding to the target baking equipment according to the baking cavity volume, determine the food category factor according to the baked food category, and determine the baking power factor according to the first baking time sequence power; The product of the baking monitoring basic time and the food category factor is divided by the baking power factor as the first time.

3. The method according to claim 2, characterized in that The method further comprises: When the set total baking time is greater than the preset total baking time, the IoT connection status of the target baking device is obtained; When the IoT connection status is disconnected, the target baking device is controlled to bake according to the baking program preset by the target baking device within the second time period; or when the IoT connection status is connected, when the target baking device does not obtain the second baking timing power within the second time period within the third time period after the first time period, the target baking device is controlled to bake according to the baking program preset by the target baking device within the second time period.

4. A baking control program optimization system based on the Internet of Things, characterized in that: The method comprises means for performing the method according to any one of claims 1 to 3.

5. A baking control program optimization system based on the Internet of Things, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 3 is implemented.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 3 are implemented.

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