Cooking parameter adjustment method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a cooking parameter adjusting method and device, electronic equipment and a storage medium, and the cooking parameter adjusting method comprises the steps: responding to an automatic cooking operation, and obtaining the actual cooking data and reference cooking data of an intelligent cooking machine at the current time; extracting cooking temperature and smoke amount from the actual cooking data; according to the actual cooking data and the reference cooking data, the dish maturity at the current time is estimated; based on the dish maturity, the cooking temperature and the smoke amount, cooking parameters of the intelligent cooking machine are adjusted. According to the scheme, the cooking parameters can be flexibly and effectively adjusted in the automatic cooking process, the flexibility and the intelligent degree of adjustment of the cooking parameters are improved, and therefore the automatic cooking effect is effectively improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a cooking parameter adjustment method, device, electronic device and storage medium. Background Art

[0002] With the continuous development of science and technology, smart homes have begun to penetrate into all aspects of family life. For example, smart rice cookers, smart induction cookers, and smart cooking machines are gradually replacing traditional automated cooking equipment.

[0003] At present, automated cooking equipment can obtain the user's pre-set cooking menu and pre-placed ingredients when the preset cooking time is reached, and then automatically cook according to the cooking menu. However, in actual automated cooking scenarios, automated cooking equipment can only rely on monitoring the firepower level to adjust the firepower to complete automated cooking. The adjustment method during the cooking process is relatively simple, the cooking effect is not good, and it is unable to provide users with flexible and effective cooking adjustment services. Summary of the invention

[0004] The present application provides a cooking parameter adjustment method, device, electronic device and storage medium, which can flexibly and effectively adjust cooking parameters during the automatic cooking process, improve the flexibility and intelligence of cooking parameter adjustment, and thus improve the automatic cooking effect.

[0005] In a first aspect, the present application provides a cooking parameter adjustment method, comprising:

[0006] In response to the automatic cooking operation, obtaining actual cooking data and reference cooking data of the intelligent cooking machine at the current time;

[0007] extracting cooking temperature and smoke volume from the actual cooking data;

[0008] estimating the degree of doneness of the dish at the current time according to the actual cooking data and the reference cooking data;

[0009] The cooking parameters of the intelligent cooking machine are adjusted based on the maturity, cooking temperature and smoke volume of the dish.

[0010] In a second aspect, the present application provides a cooking parameter adjustment device, comprising:

[0011] an acquisition module, configured to acquire actual cooking data and reference cooking data of the intelligent cooking machine at the current time in response to an automatic cooking operation;

[0012] An extraction module, used for extracting cooking temperature and smoke volume from the actual cooking data;

[0013] An estimation module, used for estimating the maturity of the dish at the current time according to the actual cooking data and the reference cooking data;

[0014] The adjustment module is used to adjust the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke.

[0015] Optionally, in some embodiments of the present application, the estimation module includes:

[0016] A first extraction unit, for extracting the current cooking temperature, the type of dish and its historical putting-in time from the actual cooking data;

[0017] A second extraction unit, configured to extract the cooking recipe corresponding to the current automatic cooking operation and reference cooking processes of multiple dishes thereof from the reference cooking data;

[0018] The estimating unit is used to estimate the maturity of the dishes at the current time based on the historical placement time of the multiple dishes, the cooking temperature at the current time, the type of dishes, and the reference cooking process.

[0019] Optionally, in some embodiments of the present application, the estimation unit includes:

[0020] The identification subunit is used to identify multiple dishes and their types in the intelligent cooking machine and determine the target cooking dish at the current time;

[0021] The estimation subunit is used to estimate the maturity of the target cooking dish at the current time based on the reference cooking process of the target cooking dish and the historical placement time of the multiple dishes and the cooking temperature at the current time.

[0022] Optionally, in some embodiments of the present application, the adjustment module includes:

[0023] a determination unit, configured to determine the current cooking stage of the dish according to the maturity of the dish;

[0024] A first comparison unit, used for obtaining the cooking temperature and smoke volume required for the current cooking stage, and comparing them with the cooking temperature and smoke volume at the current time to obtain a first comparison result;

[0025] The first adjustment unit is used to adjust the cooking parameters of the intelligent cooking machine based on the first comparison result.

[0026] Optionally, in some embodiments of the present application, the first comparison unit includes:

[0027] A first extraction subunit is used to extract a reference cooking temperature and a reference smoke volume of each dish in the current cooking stage in the reference cooking data;

[0028] A temperature comparison subunit, used to compare the current cooking temperature with the reference cooking temperature to obtain a temperature comparison result;

[0029] A smoke volume comparison subunit, used to compare the smoke volume at the current time with the reference smoke volume to obtain a smoke volume comparison result;

[0030] The comparison result subunit is used to determine a first comparison result at a current time based on the temperature comparison result and the smoke volume comparison result.

[0031] Optionally, in some embodiments of the present application, the adjustment module further includes:

[0032] A first acquisition unit, used to acquire a reference cooking temperature and a reference smoke volume required for the next cooking stage of the dish;

[0033] A second acquisition unit is used to acquire the cooking temperature and smoke volume at the current time when monitoring the maturity of the dish is at a critical value of the current cooking stage;

[0034] A second comparison unit is used to compare the reference cooking temperature and reference smoke volume required for the next cooking stage with the cooking temperature and smoke volume at the current time, respectively, to obtain a second comparison result;

[0035] The second adjustment unit is used to adjust the cooking parameters of the intelligent cooking machine based on the second comparison result.

[0036] Optionally, in some embodiments of the present application, the device further includes a display module, and the display module is specifically used to:

[0037] Displaying a monitoring interface including the cooking parameters;

[0038] In response to the user's adjustment operation on the monitoring interface, the cooking parameters are adjusted.

[0039] In a third aspect, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned cooking parameter adjustment method when executing the program.

[0040] In a fourth aspect, the present application further provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned cooking parameter adjustment method.

[0041] As described above, the present application provides a cooking parameter adjustment method, device, electronic device and storage medium. After responding to the automatic cooking operation, the actual cooking data and reference cooking data of the intelligent cooking machine at the current time are obtained; the cooking temperature and smoke volume are first extracted from the actual cooking data; then the maturity of the dish at the current time is estimated according to the actual cooking data and the reference cooking data; finally, the cooking parameters of the intelligent cooking machine are adjusted based on the maturity of the dish, the cooking temperature and the smoke volume. In the cooking parameter adjustment scheme provided by the present application, the maturity of the dish is estimated by monitoring the actual cooking data of the intelligent cooking machine at the current moment, and the dish maturity, cooking temperature and smoke volume are compared with the reference cooking data, so as to adjust the cooking parameters of the intelligent cooking machine in real time according to the comparison results. It can be seen that the scheme automatically adjusts the multiple cooking parameters of the intelligent cooking machine by monitoring multiple cooking data, avoiding the situation where the cooking effect is poor due to a single adjustment method, that is, providing a flexible and effective cooking adjustment scheme to improve the flexibility of cooking adjustment and the intelligence of automatic cooking, thereby effectively improving the effect of automatic cooking. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, 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 work.

[0043] in:

[0044] Figure 1 is a scene schematic diagram of a cooking parameter adjustment method provided in an embodiment of the present application;

[0045] Figure 2 is a flow chart of a cooking parameter adjustment method provided in an embodiment of the present application;

[0046] Figure 3 is a schematic diagram of a monitoring interface in a cooking parameter adjustment method provided in an embodiment of the present application;

[0047] Figure 4 is a structural schematic diagram of a cooking parameter adjustment device provided in an embodiment of the present application;

[0048] Figure 5 is another structural schematic diagram of the cooking parameter adjustment device provided in an embodiment of the present application;

[0049] Figure 6 It is a structural schematic diagram of the intelligent cooking machine provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0051] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0053] The present application provides a cooking parameter adjustment method, device, electronic device and storage medium.

[0054] The cooking parameter adjustment device can be integrated into an electronic device, which can be a smart phone, a tablet computer, a laptop computer, a desktop computer or an intelligent cooking machine, but is not limited thereto. The electronic device can be directly or indirectly connected to the server through wired or wireless communication. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. It can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. This application does not limit this.

[0055] For example, see Figure 1 The cooking parameter adjustment device is integrated in the intelligent cooking machine 10. The cooking parameters can be displayed on the display screen of the intelligent cooking machine 10, and the user can interact with the intelligent cooking machine 10 by touching the display screen of the intelligent cooking machine 10. In the process of adjusting the cooking parameters, the intelligent cooking machine 10 responds to the automatic cooking operation and obtains the actual cooking data and reference cooking data at the current time. The automatic cooking operation can be triggered by the user 20 or automatically triggered within a set time, which can be determined according to the actual situation. Then, the intelligent cooking machine 10 extracts the cooking temperature and the amount of smoke from the actual cooking data, and then estimates the maturity of the dish at the current time according to the actual cooking data and the reference cooking data. Finally, the cooking parameters of the intelligent cooking machine 10 are adjusted based on the maturity of the dish, the cooking temperature and the amount of smoke.

[0056] The cooking parameter adjustment method provided in the present application estimates the maturity of the dish by monitoring the actual cooking data of the smart cooking machine at the current moment, and compares the dish maturity, cooking temperature and smoke volume with the reference cooking data, so as to adjust the cooking parameters of the smart cooking machine in real time according to the comparison results. It can be seen that this scheme automatically adjusts the various cooking parameters of the smart cooking machine by monitoring a variety of cooking data, thereby avoiding the situation where a single adjustment method leads to poor cooking effects, that is, providing a flexible and effective cooking adjustment scheme to improve the flexibility of cooking adjustments and the intelligence level of automatic cooking, thereby effectively improving the effect of automatic cooking.

[0057] It should be noted that the order of description of the following embodiments is not intended to limit the priority order of the embodiments.

[0058] A cooking parameter adjustment method comprises: in response to an automatic cooking operation, obtaining actual cooking data and reference cooking data of an intelligent cooking machine at the current time; extracting cooking temperature and smoke volume from the actual cooking data; estimating the maturity of dishes at the current time according to the actual cooking data and the reference cooking data; and adjusting the cooking parameters of the intelligent cooking machine based on the maturity of dishes, cooking temperature and smoke volume.

[0059] See also Figure 2 , Figure 2 This is a flow chart of the cooking parameter adjustment method provided in this application. The specific flow of the cooking parameter adjustment method can be as follows:

[0060] 101. In response to an automatic cooking operation, obtain actual cooking data and reference cooking data of a smart cooking machine at a current time.

[0061] The automatic cooking operation can be triggered by the user, such as displaying an automatic cooking button on the display screen of the intelligent cooking machine, and triggering an automatic cooking instruction in response to the user's click operation on the automatic cooking button, and then triggering the automatic cooking operation according to the automatic cooking instruction. Of course, the user can also set the automatic cooking time in the intelligent cooking machine in advance, that is, when the current time reaches the automatic cooking time, the automatic cooking operation is triggered. The automatic cooking time can be set by the user or by the system. Optionally, in some embodiments, the automatic cooking instruction sent by the user through the intelligent terminal can be received, and the automatic cooking operation can be triggered by monitoring whether the automatic cooking instruction sent by the user is received, that is, responding to the automatic cooking operation step can not only be triggered by pre-setting the trigger time of the intelligent cooking machine, but also be triggered by receiving the automatic cooking instruction sent by the user at the current moment. After responding to the automatic cooking operation, the smart cooking machine automatically cooks according to the preset cooking menu, and obtains the actual cooking data and reference cooking data of the smart cooking machine at the current moment in real time, wherein the actual cooking data may specifically include one or more of the cooking temperature, smoke volume, cooking menu, cooking recipes, dish type, and dish historical placement time. The actual cooking data can be obtained from the local database of the smart cooking machine. After starting cooking, the relevant cooking data is collected and stored by monitoring the cooking status of the smart cooking, or it can be uploaded to the cloud server via the network. The actual cooking data stored in the cloud server can be obtained later via the network. Similarly, the reference cooking data can be obtained from a cloud server through the network. The reference cooking data includes reference cooking parameters of each dish corresponding to the cooking recipe, such as how long a certain dish needs to be cooked within a certain temperature range, etc. Alternatively, the reference cooking data can also be stored locally. After the user sets the cooking menu in advance, the corresponding reference cooking data is obtained and stored in the local database of the smart cooking machine. When the current time reaches the automatic cooking time, the preset cooking menu and its corresponding reference cooking data in the local database are automatically read. Of course, it is also possible to receive the preset cooking menu confirmed by the user at the current moment. The specific selection can be made according to the actual situation, and this application is not limited.

[0062] In addition, after responding to the automatic cooking operation, the preset cooking menu of the current time will also be obtained. The preset cooking menu can be obtained from the cloud server through the network. The preset cooking menu can specifically include cooking dish information, cooking dish order, and preparation information and food processing procedures corresponding to different cooking recipes; or, the preset cooking menu can also be stored locally, and after the user pre-sets the cooking menu, it is stored in the local database of the automatic cooking machine. When the current time reaches the automatic cooking time, the preset cooking menu in the local database is automatically read; of course, it can also be a preset cooking menu confirmed by the user at the current moment. The specific selection can be made according to the actual situation, and this application is not limited. For example, the setting interface of the automatic cooking time and the preset cooking menu is displayed on the display screen of the intelligent cooking machine. The user can set the automatic cooking time and the corresponding preset cooking menu in the setting interface. When the preset automatic cooking time is reached, the preset cooking menu can be displayed on the display screen of the intelligent cooking machine. The preset cooking menu includes multiple cooking dishes and their cooking order. The preset cooking menu of the current time can also be sent to the user terminal by the intelligent cooking machine for the user to confirm.

[0063] 102. Extract cooking temperature and smoke volume from actual cooking data.

[0064] Specifically, after obtaining the actual cooking data, the cooking temperature and the amount of smoke of the smart cooking machine at the current time are extracted from the actual cooking data, wherein the cooking temperature includes the temperature inside the pot and the temperature outside the pot, and the cooking temperature is mainly the actual temperature of the food ingredients at the current time. By extracting the cooking temperature data that can reflect the actual temperature of the food ingredients, and the smoke amount data that can reflect the state of the pot of the smart cooking machine from the actual cooking data, the maturity of the dish can be subsequently estimated, and the cooking parameters of the smart cooking machine can be adjusted.

[0065] 103. Estimate the doneness of the dish at the current time based on actual cooking data and reference cooking data.

[0066] Specifically, based on the actual cooking data and reference cooking data acquired at the current time, where the reference cooking data is used to provide reference cooking parameters for each dish corresponding to the cooking recipe at different cooking stages, the actual cooking data at the current time is compared with the reference cooking data, and the maturity of the target cooking dish being cooked by the intelligent cooking machine at the current time is estimated according to the comparison result, so that the cooking parameters can be adjusted according to the maturity of the dish later.

[0067] Optionally, in some embodiments, the step of “estimating the maturity of the dish at the current time according to the actual cooking data and the reference cooking data” may specifically include:

[0068] (11) extracting the current cooking temperature, dish type and historical cooking time from the actual cooking data;

[0069] (12) extracting a cooking recipe corresponding to the current automatic cooking operation and reference cooking steps of multiple dishes thereof from the reference cooking data;

[0070] (13) Based on the historical time of placing multiple dishes, the current cooking temperature, the type of dish, and the reference cooking process, the maturity of the dish at the current time is estimated.

[0071] For example, the actual cooking data may specifically include one or more of the cooking temperature at the current time, the type of the cooking dish and its historical time of placement. First, the cooking temperature at the current time, the type of dish and the historical time of placement are extracted from the actual cooking data obtained. Then, the cooking recipe corresponding to the current automatic cooking operation is extracted from the reference cooking data obtained from the cloud server or the local database. The cooking recipe includes information, types, quantities of multiple dishes and reference cooking processes at different cooking stages. Finally, according to the types of multiple dishes and their historical time of placement, combined with the current time, the cooking time of multiple dishes is determined, that is, how long each dish has been cooked and which cooking stage it is currently in. Then, according to the cooking temperature at the current time and the cooking time of multiple dishes, the cooking temperature and time required for the reference cooking process are compared, so as to estimate the maturity of the dish at the current time. That is, optionally, in some embodiments, the step of "estimating the maturity of the dish at the current time based on the historical time of placement of multiple dishes, the cooking temperature at the current time, the type of dish, and the reference cooking process" may specifically include:

[0072] (131) identifying multiple dishes and their types in the intelligent cooking machine, and determining a target cooking dish at a current time;

[0073] (132) Based on the reference cooking process of the target dish and the historical cooking time of multiple dishes and the current cooking temperature, the dish maturity of the target dish at the current time is estimated.

[0074] In a specific embodiment, firstly, multiple dishes in the current cooking pot of the intelligent cooking machine and their corresponding dish types are identified. For example, the dishes in the cooking pot can be identified by the built-in sensor of the intelligent cooking machine, so as to determine the target cooking dish at the current time. Then, the reference cooking process of the target cooking dish is obtained. At the same time, the historical time of putting in multiple dishes is obtained to determine the cooking time of multiple dishes. Combined with the cooking temperature at the current time, the reference cooking process is used as a benchmark for comparison to estimate the maturity of the target cooking dish at the current time. For example, when starting automatic cooking, the time of putting in each dish is recorded by the intelligent cooking machine. During the cooking process, multiple dishes and their types in the cooking pot are automatically identified, such as carrots, corn, ribs, etc., to determine the target cooking dish at the current time. For example, the target cooking dish at the current time is determined to be carrot corn ribs soup. According to the reference cooking process of carrot corn ribs soup, according to the time of putting in carrots, corn, and ribs, and the cooking temperature of the current cooking pot, the maturity of the current carrots, corn, and ribs is estimated, that is, the maturity of the carrot corn ribs soup.

[0075] 104. Adjust the cooking parameters of the smart cooking machine based on the maturity of the food, cooking temperature and amount of smoke.

[0076] Specifically, after estimating the maturity of the target cooking dish at the current time, the cooking parameters of the smart cooking machine are automatically adjusted in real time according to the maturity of the dish, as well as the cooking temperature and smoke volume of the smart cooking machine, making the parameter adjustment during automatic cooking more flexible, thereby improving the automatic cooking effect and intelligence level.

[0077] Optionally, in some implementations, the step of “adjusting cooking parameters of the intelligent cooking machine based on the maturity of the dish, cooking temperature and smoke volume” may specifically include:

[0078] (21) Determine the current cooking stage of the dish based on its maturity;

[0079] (22) obtaining the cooking temperature and smoke volume required for the current cooking stage, and comparing them with the cooking temperature and smoke volume at the current time to obtain a first comparison result;

[0080] (23) Based on the first comparison result, adjust the cooking parameters of the intelligent cooking machine.

[0081] It can be understood that after estimating the maturity of the dish corresponding to the target cooking dish at the current time, the current cooking stage of the dish is determined according to the maturity of the dish, and then the cooking temperature and smoke volume required for the dish in the current cooking stage in the reference cooking data are extracted and compared with the actual monitored cooking temperature and smoke volume at the current time to generate a first comparison result. Finally, according to the comparison result, the current cooking parameters of the intelligent cooking machine are adjusted accordingly so that the cooking parameters meet the cooking temperature and smoke volume required for the current stage. For example, when the maturity of the target cooking dish (carrot, corn and pork ribs soup) is estimated to be 50%, it is determined according to the maturity of the dish that the dish is currently in the middle cooking stage. At this time, the cooking temperature required for the carrot, corn and pork ribs soup in the middle cooking stage is extracted as 85° and the smoke volume is 2mg / m 3 , and compare the cooking temperature and smoke volume in the actual cooking data obtained, such as the current cooking temperature is higher than 85° required for the current cooking stage, and the smoke volume is greater than 2mg / m 3 , a first comparison result is generated, and the first comparison result indicates that the current cooking temperature and smoke volume are too high, so that the cooking parameters of the intelligent cooking machine can be adjusted according to the first comparison result, such as reducing the fire power and increasing the exhaust volume, so as to reduce the cooking temperature and smoke volume.

[0082] Optionally, in some embodiments, the step of “obtaining the cooking temperature and smoke volume required for the current cooking stage, and comparing them with the cooking temperature and smoke volume at the current time to obtain a first comparison result” may specifically include:

[0083] Extracting reference cooking temperature and reference smoke volume of each dish in the current cooking stage from the reference cooking data;

[0084] Compare the current cooking temperature with the reference cooking temperature to obtain a temperature comparison result;

[0085] Compare the smoke volume at the current time with the reference smoke volume to obtain a smoke volume comparison result;

[0086] Based on the temperature comparison result and the smoke volume comparison result, a first comparison result at the current time is determined.

[0087] Specifically, after determining the current target cooking dish and its maturity, the reference cooking temperature and reference smoke volume required for the target cooking dish at the current cooking stage are extracted from the reference cooking data, and then, the cooking temperature and smoke volume at the current time are compared one by one with the reference cooking temperature and reference smoke volume in the reference cooking data, respectively, to generate the temperature comparison result and smoke volume comparison result for the current time, and then, based on the temperature comparison result and the smoke volume comparison result, determine the first comparison result of the intelligent cooking machine at the current time, so that the cooking parameters of the intelligent cooking machine can be automatically adjusted according to the first comparison result.

[0088] Furthermore, when adjusting the cooking parameters of the intelligent cooking machine, in addition to the adjustment method based on the comparison between the reference cooking data of the current cooking stage and the actual cooking data at the current time, the present embodiment also provides a parameter adjustment method for the next cooking stage based on the reference cooking data of the next cooking stage, that is, optionally, in some embodiments, the step of "adjusting the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke" may further specifically include:

[0089] (31) obtaining a reference cooking temperature and a reference smoke volume required for the next cooking stage of the dish;

[0090] (32) when the maturity of the monitored dish is at a critical value of the current cooking stage, obtaining the cooking temperature and smoke volume at the current time;

[0091] (33) comparing the reference cooking temperature and reference smoke volume required for the next cooking stage with the cooking temperature and smoke volume at the current time, respectively, to obtain a second comparison result;

[0092] (34) Based on the second comparison result, adjust the cooking parameters of the intelligent cooking machine.

[0093] It can be understood that the present embodiment first obtains the reference cooking temperature and reference smoke volume required for the target cooking dish in the next cooking stage from the reference cooking data, and then monitors in real time whether the maturity of the dish is still in the current cooking stage. When it is monitored that the maturity of the dish is at the critical value between the current cooking stage and the next cooking stage, it means that the current dish is about to enter the next cooking stage. At this time, the reference cooking temperature and reference smoke volume required for the next cooking stage are respectively compared with the actual cooking temperature and smoke volume obtained at the current time to generate a second comparison result. For example, when it is monitored that the maturity of the dish carrot, corn and pork ribs soup is close to 80%, it is about to enter the final third cooking stage from the middle cooking stage. At this time, it is necessary to switch to low heat cooking, and the reference cooking temperature required for the third cooking stage is 75°, and the reference smoke volume is 1.5 mg / m 3 The actual cooking temperature is 85° and the smoke volume is 2mg / m 3, by comparing the actual cooking temperature and smoke volume with the reference cooking temperature and reference smoke volume, a second comparison result is generated. Finally, according to the second comparison result, the parameters of the intelligent cooking machine are adjusted, such as reducing the fire power and increasing the exhaust volume, so that the cooking temperature reaches the reference cooking temperature and the reference smoke volume.

[0094] Further, after the step of adjusting the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke, an adjustment interface may be displayed, and then the user may select the cooking parameters on the adjustment interface to continue adjusting, that is, optionally, in some embodiments, after the step of “adjusting the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke”, the following may be specifically included:

[0095] (41) displaying a monitoring interface including cooking parameters;

[0096] (42) In response to the user's adjustment operation on the monitoring interface, the cooking parameters are adjusted.

[0097] For example, see Figure 3 The present application provides a monitoring interface, which displays cooking parameters A1, A2 and A3. In response to the user's adjustment operation on multiple cooking parameters in the monitoring interface, the cooking parameters are adjusted. For example, if the user wants to speed up the cooking, the firepower of the intelligent cooking machine can be increased; so that the intelligent cooking machine automatically cooks according to the final cooking parameters. This embodiment also provides real-time monitoring and early warning prompt functions for cooking parameters. When the cooking parameters monitored exceed the preset alarm threshold, a corresponding alarm prompt is issued to the user terminal, or an alarm message is displayed on the display interface of the intelligent cooking machine, and an alarm voice is issued at the same time, prompting the user to make adjustments, or the cooking parameters are automatically adjusted according to the security policy, thereby improving the safety of automatic cooking.

[0098] The above is the cooking parameter adjustment process of this application.

[0099] As described above, the present application provides a cooking parameter adjustment method, which obtains the actual cooking data and reference cooking data of the smart cooking machine at the current time in response to the automatic cooking operation; first extracts the cooking temperature and smoke volume from the actual cooking data; then estimates the maturity of the dish at the current time based on the actual cooking data and the reference cooking data; finally, adjusts the cooking parameters of the smart cooking machine based on the maturity of the dish, the cooking temperature and the smoke volume. In the cooking parameter adjustment scheme provided by the present application, the maturity of the dish is estimated by monitoring the actual cooking data of the smart cooking machine at the current moment, and the dish maturity, cooking temperature and smoke volume are compared with the reference cooking data, so as to adjust the cooking parameters of the smart cooking machine in real time according to the comparison results. It can be seen that the scheme automatically adjusts the multiple cooking parameters of the smart cooking machine by monitoring multiple cooking data, avoiding the situation where the cooking effect is poor due to a single adjustment method, that is, providing a flexible and effective cooking adjustment scheme to improve the flexibility of cooking adjustment and the intelligence of automatic cooking, thereby effectively improving the effect of automatic cooking.

[0100] In order to facilitate better implementation of the cooking parameter adjustment method of the embodiment of the present application, the embodiment of the present invention also provides a device based on the above cooking parameter adjustment method (hereinafter referred to as the adjustment device). The meanings of the terms are the same as those in the above cooking parameter adjustment method, and the specific implementation details can refer to the description in the method embodiment.

[0101] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of a cooking parameter adjustment device provided in an embodiment of the present application, wherein the adjustment device may include an acquisition module 201, an extraction module 202, an estimation module 203 and an adjustment module 204, which may be specifically as follows:

[0102] The acquisition module 201 is used to acquire actual cooking data and reference cooking data of the intelligent cooking machine at the current time in response to the automatic cooking operation.

[0103] Among them, the automatic cooking operation can be triggered by the user, such as displaying an automatic cooking button on the display screen of the intelligent cooking machine, responding to the user's click operation on the automatic cooking button, triggering the automatic cooking instruction, and then triggering the automatic cooking operation according to the automatic cooking instruction.

[0104] The extraction module 202 is used to extract the cooking temperature and the amount of smoke from the actual cooking data.

[0105] Specifically, after obtaining the actual cooking data, the cooking temperature and the amount of smoke of the smart cooking machine at the current time are extracted from the actual cooking data, wherein the cooking temperature includes the temperature inside the pot and the temperature outside the pot, and the cooking temperature is mainly the actual temperature of the food ingredients at the current time. By extracting the cooking temperature data that can reflect the actual temperature of the food ingredients, and the smoke amount data that can reflect the state of the pot of the smart cooking machine from the actual cooking data, the maturity of the dish can be subsequently estimated, and the cooking parameters of the smart cooking machine can be adjusted.

[0106] The estimation module 203 is used to estimate the maturity of the dish at the current time based on the actual cooking data and the reference cooking data.

[0107] Specifically, based on the actual cooking data and reference cooking data acquired at the current time, where the reference cooking data is used to provide reference cooking parameters for each dish corresponding to the cooking recipe at different cooking stages, the actual cooking data at the current time is compared with the reference cooking data, and the maturity of the target cooking dish being cooked by the intelligent cooking machine at the current time is estimated according to the comparison result, so that the cooking parameters can be adjusted according to the maturity of the dish later.

[0108] The adjustment module 204 is used to adjust the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke.

[0109] Specifically, after estimating the maturity of the target cooking dish at the current time, the cooking parameters of the smart cooking machine are automatically adjusted in real time according to the maturity of the dish, as well as the cooking temperature and smoke volume of the smart cooking machine, making the parameter adjustment during automatic cooking more flexible, thereby improving the automatic cooking effect and intelligence level.

[0110] Optionally, in some embodiments, the estimation module 203 may specifically include:

[0111] A first extraction unit is used to extract the current cooking temperature, the type of dish and its historical placement time from the actual cooking data;

[0112] A second extraction unit is used to extract the cooking recipe corresponding to the current automatic cooking operation and reference cooking processes of multiple dishes thereof from the reference cooking data;

[0113] The estimation unit is used to estimate the maturity of the dishes at the current time based on the historical placement time of multiple dishes, the cooking temperature at the current time, the type of dishes, and the reference cooking process.

[0114] Optionally, in some embodiments, the estimation unit may specifically include:

[0115] The identification subunit is used to identify multiple dishes and their types in the intelligent cooking machine and determine the target cooking dish at the current time;

[0116] The estimation subunit is used to estimate the maturity of the target cooking dish at the current time based on the reference cooking process of the target cooking dish and the historical placement time and the cooking temperature of multiple dishes at the current time.

[0117] Optionally, in some embodiments of the present application, the adjustment module 204 may specifically include:

[0118] A determination unit, used to determine the current cooking stage of the dish according to the maturity of the dish;

[0119] A first comparison unit is used to obtain the cooking temperature and smoke volume required for the current cooking stage, and compare them with the cooking temperature and smoke volume at the current time to obtain a first comparison result;

[0120] The first adjustment unit is used to adjust the cooking parameters of the intelligent cooking machine based on the first comparison result.

[0121] Optionally, in some embodiments, the first comparison unit may specifically include:

[0122] A first extraction subunit is used to extract a reference cooking temperature and a reference smoke volume of each dish in the current cooking stage in the reference cooking data;

[0123] The temperature comparison subunit is used to compare the current cooking temperature with the reference cooking temperature to obtain a temperature comparison result;

[0124] The smoke volume comparison subunit is used to compare the smoke volume at the current time with the reference smoke volume to obtain a smoke volume comparison result;

[0125] The comparison result subunit is used to determine the first comparison result at the current time based on the temperature comparison result and the smoke volume comparison result.

[0126] Optionally, in some embodiments, the adjustment module 204 may further include:

[0127] A first acquisition unit, used to acquire a reference cooking temperature and a reference smoke volume required for the next cooking stage of the dish;

[0128] The second acquisition unit is used to acquire the cooking temperature and smoke volume at the current time when the maturity of the monitored dish is at the critical value of the current cooking stage;

[0129] A second comparison unit is used to compare the reference cooking temperature and reference smoke volume required for the next cooking stage with the cooking temperature and smoke volume at the current time, respectively, to obtain a second comparison result;

[0130] The second adjustment unit is used to adjust the cooking parameters of the intelligent cooking machine based on the second comparison result.

[0131] Optionally, in some embodiments, see Figure 5 The adjustment device of the present application may further include a display module 205, which is specifically used to: display a monitoring interface including cooking parameters; and adjust the cooking parameters in response to the user's adjustment operation on the monitoring interface.

[0132] It can be seen that the embodiment of the present application provides a cooking parameter adjustment device, in which the acquisition module 201 responds to the automatic cooking operation to obtain the actual cooking data and reference cooking data of the intelligent cooking machine at the current time; the extraction module 202 extracts the cooking temperature and the smoke volume from the actual cooking data; the estimation module 203 estimates the maturity of the dish at the current time according to the actual cooking data and the reference cooking data; the adjustment module 204 adjusts the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the smoke volume. In the cooking parameter adjustment scheme provided in the present application, the maturity of the dish is estimated by monitoring the actual cooking data of the intelligent cooking machine at the current moment, and the dish maturity, cooking temperature and smoke volume are compared with the reference cooking data, so as to adjust the cooking parameters of the intelligent cooking machine in real time according to the comparison result. It can be seen that the scheme automatically adjusts the multiple cooking parameters of the intelligent cooking machine by monitoring multiple cooking data, avoiding the situation where the cooking effect is poor due to a single adjustment method, that is, providing a flexible and effective cooking adjustment scheme to improve the flexibility of cooking adjustment and the intelligence of automatic cooking, thereby effectively improving the effect of automatic cooking.

[0133] It should be noted that in the embodiment of the present application, if the above method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM, Read Only Memory), a disk or an optical disk. In this way, the embodiment of the present application is not limited to any specific combination of hardware and software.

[0134] Correspondingly, an embodiment of the present application also discloses a storage medium storing a computer program that can be loaded by a processor and execute the above-mentioned cooking parameter adjustment method.

[0135] The present application also discloses a smart cooking device, such as Figure 6As shown, it includes a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400 and a memory 500. The processor 100 is used to provide computing and control capabilities, the communication bus 200 is configured to achieve connection and communication between these components, the user interface 300 may include a display screen, the external communication interface 400 may include a standard wired interface and a wireless interface, and the cooking parameter adjustment method is stored in the memory 500. The processor 100 is also used to execute the steps of the cooking parameter adjustment method stored in the memory 500.

[0136] Optionally, in some embodiments, the processor implements the following steps when executing the computer program:

[0137] In response to the automatic cooking operation, the actual cooking data and reference cooking data of the smart cooking machine at the current time are obtained; the cooking temperature and the amount of smoke are extracted from the actual cooking data; the maturity of the dish at the current time is estimated based on the actual cooking data and the reference cooking data; and the cooking parameters of the smart cooking machine are adjusted based on the maturity of the dish, the cooking temperature and the amount of smoke.

[0138] In the embodiment of the present application, the maturity of the dish is estimated by monitoring the actual cooking data of the smart cooking machine at the current moment, and the dish maturity, cooking temperature and smoke volume are compared with the reference cooking data, so that the cooking parameters of the smart cooking machine are adjusted in real time according to the comparison results. It can be seen that this scheme automatically adjusts the various cooking parameters of the smart cooking machine by monitoring a variety of cooking data, thereby avoiding the situation where a single adjustment method leads to poor cooking effects, that is, providing a flexible and effective cooking adjustment scheme to improve the flexibility of cooking adjustments and the intelligence level of automatic cooking, thereby effectively improving the effect of automatic cooking.

[0139] It should be understood that "one embodiment" or "some embodiments" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The above-mentioned sequence numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments.

[0140] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0141] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the 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 can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0142] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; 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 present embodiment.

[0143] In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately configured as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0144] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0145] Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application can essentially or in other words, the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a device to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0146] The above disclosure is only the preferred embodiment of the present application, which certainly cannot be used to limit the scope of rights of the present application. Therefore, equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A cooking parameter adjustment method, characterized in that: include: In response to the automatic cooking operation, obtaining actual cooking data and reference cooking data of the intelligent cooking machine at the current time; extracting cooking temperature and smoke volume from the actual cooking data; estimating the degree of doneness of the dish at the current time according to the actual cooking data and the reference cooking data; The cooking parameters of the intelligent cooking machine are adjusted based on the maturity, cooking temperature and smoke volume of the dish.

2. The cooking parameter adjustment method according to claim 1, characterized in that: The estimating the maturity of the dish at the current time according to the actual cooking data and the reference cooking data includes: Extracting the current cooking temperature, the type of dish and its historical time of being put in from the actual cooking data; Extracting the cooking recipe corresponding to the current automatic cooking operation and reference cooking processes of multiple dishes thereof from the reference cooking data; Based on the historical time when the dishes are put in, the cooking temperature at the current time, the type of dishes, and the reference cooking process, the maturity of the dishes at the current time is estimated.

3. The cooking parameter adjustment method according to claim 2, characterized in that: The estimating the maturity of the dishes at the current time based on the historical time of placing the dishes, the cooking temperature at the current time, the type of dishes, and the reference cooking process includes: Identify multiple dishes and their types in the intelligent cooking machine, and determine the target cooking dish at the current time; Taking the reference cooking process of the target cooking dish as a reference, based on the historical putting-in time of the plurality of dishes and the cooking temperature at the current time, the dish maturity of the target cooking dish at the current time is estimated.

4. The cooking parameter adjustment method according to claim 1, characterized in that: The adjusting the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke includes: Determining the current cooking stage of the dish according to the maturity of the dish; Obtaining the cooking temperature and smoke volume required for the current cooking stage, and comparing them with the cooking temperature and smoke volume at the current time to obtain a first comparison result; Based on the first comparison result, the cooking parameters of the intelligent cooking machine are adjusted.

5. The cooking parameter adjustment method according to claim 4, characterized in that: The obtaining of the cooking temperature and smoke volume required for the current cooking stage and comparing them with the cooking temperature and smoke volume at the current time to obtain a first comparison result includes: Extracting reference cooking temperature and reference smoke volume of each dish in the current cooking stage from the reference cooking data; Comparing the current cooking temperature with the reference cooking temperature to obtain a temperature comparison result; Comparing the current smoke volume with the reference smoke volume to obtain a smoke volume comparison result; Based on the temperature comparison result and the smoke volume comparison result, a first comparison result at the current time is determined.

6. The cooking parameter adjustment method according to claim 4, characterized in that: The method of adjusting the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke also includes: Obtaining a reference cooking temperature and a reference smoke volume required for the next cooking stage of the dish; When monitoring the maturity of the dish to be at a critical value of the current cooking stage, obtaining the cooking temperature and smoke volume at the current time; Comparing the reference cooking temperature and reference smoke volume required for the next cooking stage with the cooking temperature and smoke volume at the current time, respectively, to obtain a second comparison result; Based on the second comparison result, the cooking parameters of the intelligent cooking machine are adjusted.

7. The cooking parameter adjustment method according to any one of claims 1 to 6, characterized in that: After adjusting the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke, the method further includes: Displaying a monitoring interface including the cooking parameters; In response to the user's adjustment operation on the monitoring interface, the cooking parameters are adjusted.

8. A cooking parameter adjustment device, characterized in that: include: an acquisition module, for acquiring actual cooking data and reference cooking data of the intelligent cooking machine at the current time in response to an automatic cooking operation; An extraction module, used for extracting cooking temperature and smoke volume from the actual cooking data; An estimation module, used for estimating the maturity of the dish at the current time according to the actual cooking data and the reference cooking data; The adjustment module is used to adjust the cooking parameters of the intelligent cooking machine based on the maturity of the dish, the cooking temperature and the amount of smoke.

9. An electronic device, characterized in that: include: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the cooking parameter adjustment method according to any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: A computer program is stored thereon, wherein when the computer program is executed by a processor, the steps of the cooking parameter adjustment method according to any one of claims 1 to 7 are implemented.

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