Abnormal analysis and early warning implementation method and device applied to cooking equipment

Abstract

The present invention relates to the field of intelligent cooking technology, and discloses a method and device for realizing abnormal analysis and early warning for cooking equipment. The method comprises: collecting status information related to the cooking equipment during the cooking process of the cooking equipment; the status information comprises the real-time working status parameters of the cooking equipment, the real-time food status parameters of the target food to be cooked by the cooking equipment, and the expected food status parameters corresponding to the target food; judging whether the cooking equipment has abnormalities according to the status information; the abnormalities comprise equipment abnormalities and / or food abnormalities; when it is judged that the cooking equipment has abnormalities, controlling the cooking equipment to perform early warning operations corresponding to the abnormalities. It can be seen that the implementation of the present invention can realize abnormal early warning analysis of the cooking equipment based on the real-time working status and food status of the cooking equipment, can improve the timeliness and accuracy of abnormal analysis and early warning of the cooking equipment, and is conducive to improving the safety of the use of the cooking equipment.

Description

Technical Field

[0001] The present invention relates to the field of intelligent cooking technology, and in particular to a method and device for realizing abnormal analysis and early warning applied to cooking equipment. Background Art

[0002] Cooking and baking equipment is generally used for cooking and baking food, wherein some existing cooking and baking equipment also has the function of cooking specific types of food according to preset recipes. Therefore, the cooking and baking equipment can provide users with an intelligent cooking experience.

[0003] However, in actual applications, existing cooking and baking equipment often issues a warning only after a failure occurs in the cooking and baking equipment, which results in a lag and limitations in the fault warning and easily leads to safety accidents.

[0004] Therefore, it is particularly important to propose a technical solution that can improve the timeliness and accuracy of abnormal analysis and early warning of cooking equipment, which is conducive to improving the safety of use of cooking equipment. Summary of the invention

[0005] The present invention provides a method and device for realizing abnormal analysis and early warning for cooking and baking equipment, which can improve the timeliness and accuracy of abnormal analysis and early warning of cooking and baking equipment, and is beneficial to improving the safety of use of cooking and baking equipment.

[0006] In order to solve the above technical problems, the first aspect of the present invention discloses a method for abnormal analysis and early warning for cooking equipment, the method comprising:

[0007] During the cooking process of the cooking device, status information related to the cooking device is collected; the status information includes real-time working status parameters of the cooking device, real-time food status parameters of the target food to be cooked by the cooking device, and expected food status parameters corresponding to the target food;

[0008] According to the state information, determining whether the cooking device has an abnormality; the abnormality includes device abnormality and / or food abnormality;

[0009] When it is determined that the cooking device has the abnormality, the cooking device is controlled to perform an early warning operation corresponding to the abnormality.

[0010] As an optional implementation manner, in the first aspect of the present invention, the collecting of status information related to the cooking device includes:

[0011] Based on the first detection unit corresponding to the cooking device, collecting real-time working status parameters of the cooking device;

[0012] Based on the second detection unit corresponding to the cooking device, real-time food state parameters of the target food to be cooked by the cooking device are collected;

[0013] Obtaining a cooking recipe of the cooking device for the target food;

[0014] According to the cooking recipe and the real-time working state parameters, expected food state parameters of the target food under the real-time working state parameters are determined.

[0015] As an optional implementation manner, in the first aspect of the present invention, determining the expected ingredient state parameters of the target ingredient under the real-time working state parameters according to the cooking recipe and the real-time working state parameters includes:

[0016] Determining, according to the cooking recipe and the real-time working state parameter, a first ingredient state parameter of the target ingredient under the real-time working state parameter;

[0017] Detecting whether there is auxiliary cooking utensils corresponding to the target food in the cooking equipment;

[0018] When it is detected that the auxiliary cooking utensils corresponding to the target food exist in the cooking equipment, determining the cooking influence coefficient of the auxiliary cooking utensils on the target food;

[0019] According to the cooking influence coefficient, the first food state parameter is adjusted to obtain a second food state parameter, and the second food state parameter is determined as an expected food state parameter of the target food under the real-time working state parameter;

[0020] When it is detected that the auxiliary cooking utensil corresponding to the target ingredient does not exist in the cooking device, the first ingredient state parameter is determined as the expected ingredient state parameter of the target ingredient under the real-time working state parameter.

[0021] As an optional implementation manner, in the first aspect of the present invention, judging whether the cooking device is abnormal according to the status information includes:

[0022] According to the real-time working state parameters of the cooking device, determining whether the real-time working state parameters meet the determined first abnormal condition;

[0023] When it is determined that the real-time working state parameter meets the first abnormal condition, determining that the cooking device has the device abnormality;

[0024] According to the real-time food state parameter and the expected food state parameter, determining whether the target food satisfies the determined second abnormal condition;

[0025] When it is determined that the target food satisfies the second abnormal condition, it is determined that the cooking device has the food abnormality.

[0026] As an optional implementation manner, in the first aspect of the present invention, judging whether the real-time working state parameter of the cooking device satisfies the determined first abnormal condition according to the real-time working state parameter of the cooking device includes:

[0027] detecting a cooking control instruction received by the cooking device;

[0028] Determine the instruction source information corresponding to the cooking control instruction, and determine whether the cooking control instruction satisfies the determined instruction abnormality condition based on the cooking control instruction and the instruction source information, to obtain a first device judgment result; and / or,

[0029] Determining the execution accuracy of the instruction corresponding to the cooking device according to the cooking control instruction and the real-time working status parameter;

[0030] Determine whether the execution accuracy of the instruction is higher than or equal to a preset accuracy, and obtain a determination result of the second device; and / or,

[0031] When the cooking device is provided with a cooking cavity, collecting real-time cavity parameters of the cooking cavity;

[0032] According to the real-time working state parameter and the real-time cavity parameter, judging whether the cooking device meets the determined device parameter abnormality condition, and obtaining a third device judgment result;

[0033] When it is detected that any device judgment result is yes, it is determined that the real-time working state parameter meets the determined first abnormal condition; all the device judgment results include at least one of the first device judgment result, the second device judgment result and the third device judgment result;

[0034] When it is detected that the judgment results of all the devices are negative, it is determined that the real-time working status parameter does not satisfy the determined first abnormal condition.

[0035] As an optional implementation manner, in the first aspect of the present invention, judging whether the target food satisfies the determined second abnormal condition according to the real-time food status parameter and the expected food status parameter includes:

[0036] Analyzing the real-time food state parameter and the expected food state parameter to obtain the similarity of the state parameter corresponding to the target food;

[0037] Determining whether the state parameter similarity is greater than or equal to a preset parameter similarity;

[0038] When it is determined that the state parameter similarity is less than the preset parameter similarity, determining that the target food satisfies the determined second abnormal condition;

[0039] When it is determined that the state parameter similarity is greater than or equal to the preset parameter similarity, it is determined that the target food does not satisfy the determined second abnormal condition.

[0040] As an optional implementation, in the first aspect of the present invention, controlling the cooking device to perform the warning operation corresponding to the abnormality includes:

[0041] Generate early warning prompt information corresponding to the abnormality, and control the cooking device to perform an alarm operation corresponding to the early warning prompt information;

[0042] When the abnormality includes the abnormality of the device, determining that the warning level of the cooking device is the first warning level;

[0043] When the abnormality does not include the abnormality of the device but includes the abnormality of the food, determining that the warning level of the cooking device is the second warning level; the security threat level corresponding to the first warning level is higher than the security threat level corresponding to the second warning level;

[0044] When the warning level of the cooking device is the first warning level, controlling the cooking device to stop performing the cooking operation;

[0045] When the warning level of the baking equipment is the second warning level, the adjustment control parameters of the baking equipment corresponding to the baking operation are determined according to the food abnormality and the real-time working status parameters, and the baking equipment is controlled to perform the cooking adjustment operation according to the adjustment control parameters.

[0046] The second aspect of the present invention discloses an abnormality analysis and early warning implementation device for cooking equipment, the device comprising:

[0047] A collection module, used for collecting status information related to the cooking device during the cooking process of the cooking device; the status information includes real-time working status parameters of the cooking device, real-time food status parameters of the target food to be cooked by the cooking device, and expected food status parameters corresponding to the target food;

[0048] A judgment module, used for judging whether the cooking device has an abnormality according to the state information; the abnormality includes device abnormality and / or food abnormality;

[0049] The control module is used to control the cooking device to execute a warning operation corresponding to the abnormality when the judgment module judges that the cooking device has the abnormality.

[0050] As an optional implementation, in the second aspect of the present invention, the specific manner in which the acquisition module acquires the status information related to the cooking device includes:

[0051] Based on the first detection unit corresponding to the cooking device, collecting real-time working status parameters of the cooking device;

[0052] Based on the second detection unit corresponding to the cooking device, real-time food state parameters of the target food to be cooked by the cooking device are collected;

[0053] Obtaining a cooking recipe of the cooking device for the target food;

[0054] According to the cooking recipe and the real-time working state parameters, expected food state parameters of the target food under the real-time working state parameters are determined.

[0055] As an optional implementation, in the second aspect of the present invention, the acquisition module determines the specific manner of the expected food state parameters of the target food under the real-time working state parameters according to the cooking recipe and the real-time working state parameters, including:

[0056] Determining, according to the cooking recipe and the real-time working state parameter, a first ingredient state parameter of the target ingredient under the real-time working state parameter;

[0057] Detecting whether there is auxiliary cooking utensils corresponding to the target food in the cooking equipment;

[0058] When it is detected that the auxiliary cooking utensils corresponding to the target food exist in the cooking equipment, determining the cooking influence coefficient of the auxiliary cooking utensils on the target food;

[0059] According to the cooking influence coefficient, the first food state parameter is adjusted to obtain a second food state parameter, and the second food state parameter is determined as an expected food state parameter of the target food under the real-time working state parameter;

[0060] When it is detected that the auxiliary cooking utensil corresponding to the target ingredient does not exist in the cooking device, the first ingredient state parameter is determined as the expected ingredient state parameter of the target ingredient under the real-time working state parameter.

[0061] As an optional implementation, in the second aspect of the present invention, the specific manner in which the judgment module judges whether the cooking device is abnormal according to the state information includes:

[0062] According to the real-time working state parameters of the cooking device, determining whether the real-time working state parameters meet the determined first abnormal condition;

[0063] When it is determined that the real-time working state parameter meets the first abnormal condition, determining that the cooking device has the device abnormality;

[0064] According to the real-time food state parameter and the expected food state parameter, determining whether the target food satisfies the determined second abnormal condition;

[0065] When it is determined that the target food satisfies the second abnormal condition, it is determined that the cooking device has the food abnormality.

[0066] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the judgment module judges whether the real-time working state parameter satisfies the determined first abnormal condition according to the real-time working state parameter of the cooking device includes:

[0067] detecting a cooking control instruction received by the cooking device;

[0068] Determine the instruction source information corresponding to the cooking control instruction, and determine whether the cooking control instruction satisfies the determined instruction abnormality condition based on the cooking control instruction and the instruction source information, to obtain a first device judgment result; and / or,

[0069] Determining the execution accuracy of the instruction corresponding to the cooking device according to the cooking control instruction and the real-time working status parameter;

[0070] Determine whether the execution accuracy of the instruction is higher than or equal to a preset accuracy, and obtain a determination result of the second device; and / or,

[0071] When the cooking device is provided with a cooking cavity, collecting real-time cavity parameters of the cooking cavity;

[0072] According to the real-time working state parameter and the real-time cavity parameter, judging whether the cooking device meets the determined device parameter abnormality condition, and obtaining a third device judgment result;

[0073] When it is detected that any device judgment result is yes, it is determined that the real-time working state parameter meets the determined first abnormal condition; all the device judgment results include at least one of the first device judgment result, the second device judgment result and the third device judgment result;

[0074] When it is detected that the judgment results of all the devices are negative, it is determined that the real-time working status parameter does not satisfy the determined first abnormal condition.

[0075] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the judgment module judges whether the target food satisfies the determined second abnormal condition according to the real-time food status parameter and the expected food status parameter includes:

[0076] Analyzing the real-time food state parameter and the expected food state parameter to obtain the similarity of the state parameter corresponding to the target food;

[0077] Determining whether the state parameter similarity is greater than or equal to a preset parameter similarity;

[0078] When it is determined that the state parameter similarity is less than the preset parameter similarity, determining that the target food satisfies the determined second abnormal condition;

[0079] When it is determined that the state parameter similarity is greater than or equal to the preset parameter similarity, it is determined that the target food does not satisfy the determined second abnormal condition.

[0080] As an optional implementation, in the second aspect of the present invention, the specific manner in which the control module controls the cooking device to perform the warning operation corresponding to the abnormality includes:

[0081] Generate early warning prompt information corresponding to the abnormality, and control the cooking device to perform an alarm operation corresponding to the early warning prompt information;

[0082] When the abnormality includes the abnormality of the device, determining that the warning level of the cooking device is the first warning level;

[0083] When the abnormality does not include the abnormality of the device but includes the abnormality of the food, determining that the warning level of the cooking device is the second warning level; the security threat level corresponding to the first warning level is higher than the security threat level corresponding to the second warning level;

[0084] When the warning level of the cooking device is the first warning level, controlling the cooking device to stop performing the cooking operation;

[0085] When the warning level of the baking equipment is the second warning level, the adjustment control parameters of the baking equipment corresponding to the baking operation are determined according to the food abnormality and the real-time working status parameters, and the baking equipment is controlled to perform the cooking adjustment operation according to the adjustment control parameters.

[0086] The third aspect of the present invention discloses another abnormality analysis and early warning implementation device for cooking equipment, the device comprising:

[0087] A memory storing executable program code;

[0088] a processor coupled to the memory;

[0089] The processor calls the executable program code stored in the memory to execute part or all of the steps of the abnormality analysis and early warning implementation method for cooking equipment disclosed in the first aspect of the present invention.

[0090] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute part or all of the steps of the abnormality analysis and early warning implementation method applied to cooking equipment disclosed in the first aspect of the present invention.

[0091] Compared with the prior art, the present invention has the following beneficial effects:

[0092] In the present invention, during the cooking process of the baking device, state information related to the baking device is collected; the state information includes the real-time working state parameters of the baking device, the real-time food state parameters of the target food to be cooked by the baking device, and the expected food state parameters corresponding to the target food; according to the state information, it is judged whether the baking device is abnormal; the abnormality includes the device abnormality and / or the food abnormality; when it is judged that the baking device is abnormal, the baking device is controlled to perform the warning operation corresponding to the abnormality. It can be seen that the implementation of the present invention can first collect the real-time working state parameters of the baking device and the food state parameters of the food cooked by the baking device during the cooking process of the baking device, and then judge whether the baking device is abnormal and / or the food abnormality according to the above state information. If it is judged that the baking device is abnormal, the baking device is controlled to perform the warning operation corresponding to the abnormality, and the abnormal warning analysis of the baking device can be realized based on the real-time working state and food state of the baking device, and the timeliness and accuracy of the abnormal analysis of the baking device can be improved, thereby improving the timeliness and accuracy of the abnormal warning of the baking device, and then it is beneficial to improve the timeliness of the processing of abnormal situations of the baking device, and it is beneficial to improve the use safety of the baking device. BRIEF DESCRIPTION OF THE DRAWINGS

[0093] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0094] Figure 1 It is a flow chart of an abnormality analysis and early warning implementation method applied to a cooking device disclosed in an embodiment of the present invention;

[0095] Figure 2It is a flow chart of another abnormality analysis and early warning implementation method applied to a cooking device disclosed in an embodiment of the present invention;

[0096] Figure 3 It is a structural schematic diagram of an abnormality analysis and early warning implementation device for cooking equipment disclosed in an embodiment of the present invention;

[0097] Figure 4 It is a structural schematic diagram of another abnormality analysis and early warning implementation device for cooking equipment disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0098] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0099] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0100] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0101] The present invention discloses a method and device for realizing abnormal analysis and early warning for a baking device. The method and device can collect the real-time working state parameters of the baking device and the food state parameters of the food cooked by the baking device during the process of the baking device baking food, and then judge whether the baking device has equipment abnormality and / or food abnormality according to the above state information. If it is judged that the baking device has an abnormality, the baking device is controlled to perform an early warning operation corresponding to the abnormality. The abnormal early warning analysis of the baking device can be realized based on the real-time working state and food state of the baking device, and the timeliness and accuracy of the abnormal analysis of the baking device can be improved, thereby improving the timeliness and accuracy of the abnormal early warning of the baking device, which is beneficial to improving the timeliness of handling abnormal situations of the baking device and improving the safety of the use of the baking device. The following are detailed descriptions.

[0102] Embodiment 1

[0103] See also Figure 1 , Figure 1 The following is a flow chart of a method for implementing abnormal analysis and early warning for cooking equipment disclosed in an embodiment of the present invention. Figure 1 The described abnormal analysis and early warning implementation method applied to cooking equipment can be applied to an abnormal analysis and early warning implementation device, which may include an analysis and early warning terminal, an analysis and early warning device, an analysis and early warning system, and a server, wherein the server may be a cloud server or a local server, which is not limited in the embodiments of the present invention; wherein, exemplarily, the cooking equipment may include an oven, a barbecue oven, an air fryer, and may also include other equipment that can be used for cooking and baking food, which is not limited in the embodiments of the present invention. Figure 1 As shown, the abnormality analysis and early warning implementation method applied to the cooking equipment may include the following operations:

[0104] 101. During a cooking process of the cooking device, status information related to the cooking device is collected.

[0105] In an embodiment of the present invention, the status information related to the cooking device may include real-time working status parameters of the cooking device, real-time food status parameters of the target food to be cooked by the cooking device, and expected food status parameters corresponding to the target food. Optionally, the real-time working status parameters of the cooking device may include a combination of one or more of real-time cooking mode, real-time cooking fire power level, real-time cooking temperature, real-time cooking humidity, real-time cooking wind speed, real-time cumulative cooking time, and real-time remaining cooking time, which are not limited in the embodiment of the present invention; optionally, the real-time food status parameters of the target food to be cooked by the cooking device may include a combination of one or more of real-time food temperature, real-time food moisture content, real-time food color, real-time food shape, real-time food size, and real-time food weight, which are not limited in the embodiment of the present invention; optionally, the expected food status parameters corresponding to the target food may include a combination of one or more of expected food temperature, expected food moisture content, expected food color, expected food shape, expected food size, and expected food weight, which are not limited in the embodiment of the present invention.

[0106] 102. Determine whether there is any abnormality in the cooking equipment based on the status information.

[0107] In the embodiment of the present invention, the abnormality includes equipment abnormality and / or food abnormality; wherein, the equipment abnormality is used to indicate that an abnormality has occurred in the cooking equipment. By way of example, the equipment abnormality can be used to indicate that an abnormality has occurred in the cooking equipment, which is not limited in the embodiment of the present invention; the food abnormality is used to indicate that an abnormality has occurred in the food state of the target food cooked by the cooking equipment. By way of example, the food abnormality can be used to indicate that the real-time food state of the target food does not match the expected food state, which is not limited in the embodiment of the present invention.

[0108] In the embodiment of the present invention, when step 102 determines that the cooking device is abnormal, that is, when the determination result of step 102 is yes, the operation of step 103 is performed; optionally, when step 102 determines that the cooking device is not abnormal, that is, when the determination result of step 102 is no, the operation of step 101 may be re-executed, or the present process may be terminated, wherein, Figure 1 The method described is based on the example of ending the process, and the embodiment of the present invention is not limited thereto.

[0109] 103. Control the cooking equipment to perform warning operations corresponding to abnormalities.

[0110] In the embodiment of the present invention, the early warning operation is used to prompt the user corresponding to the cooking device that the cooking device has an abnormality and / or to take emergency control measures for the cooking device in response to the abnormality.

[0111] It can be seen that the implementation of the method described in the embodiment of the present invention can first collect the real-time working status parameters of the baking device and the food status parameters of the food cooked by the baking device during the process of the baking device cooking food, and then determine whether there is an equipment abnormality and / or food abnormality in the baking device based on the above status information; if it is determined that there is an abnormality in the baking device, the baking device is controlled to execute a warning operation corresponding to the abnormality, and abnormal warning analysis of the baking device can be implemented based on the real-time working status and food status of the baking device, which can improve the timeliness and accuracy of the abnormal analysis of the baking device, thereby improving the timeliness and accuracy of the abnormal warning of the baking device, which is beneficial to improving the timeliness of handling abnormal situations of the baking device and improving the safety of use of the baking device.

[0112] In an optional embodiment, collecting status information related to the cooking device may include the following operations:

[0113] Based on the first detection unit corresponding to the cooking equipment, collecting real-time working status parameters of the cooking equipment;

[0114] Based on the second detection unit corresponding to the cooking device, real-time food state parameters of the target food to be cooked by the cooking device are collected;

[0115] Obtaining a cooking recipe for a target ingredient from a cooking device;

[0116] According to the cooking recipe and the real-time working state parameters, the expected food state parameters of the target food under the real-time working state parameters are determined.

[0117] Among them, optionally, the second detection unit corresponding to the cooking equipment may include a sensor group, which is not limited in the embodiment of the present invention; further optionally, the sensor group may include a combination of one or more of an infrared sensor, a camera unit, a weight sensor, a temperature sensor, and a humidity sensor, which is not limited in the embodiment of the present invention.

[0118] Among them, the baking recipe records the cooking process of the target ingredients; further, the cooking process may include multiple cooking steps, wherein each cooking step may record one or more combinations of the cooking method, cooking gear, cooking temperature, cooking time, and cooking humidity corresponding to the cooking step, which is not limited in the embodiments of the present invention.

[0119] It can be seen that this optional embodiment can collect the real-time working status parameters of the cooking equipment based on the first detection unit corresponding to the cooking equipment, and collect the real-time food status parameters of the target food required to be cooked by the cooking equipment based on the second detection unit, and then determine the expected food status parameters of the target food under the real-time working status parameters based on the acquired cooking recipe and real-time working status parameters of the cooking equipment, which can improve the collection flexibility and accuracy of the status information related to the cooking equipment, and is conducive to improving the accuracy of judging whether there is any abnormality in the cooking equipment.

[0120] In this optional embodiment, optionally, determining the expected food state parameters of the target food under the real-time working state parameters according to the cooking recipe and the real-time working state parameters may include the following operations:

[0121] Determine a first food state parameter of the target food under the real-time working state parameter according to the cooking recipe and the real-time working state parameter;

[0122] Detecting whether there are auxiliary cooking utensils corresponding to the target ingredients in the cooking equipment;

[0123] When it is detected that there are auxiliary cooking utensils corresponding to the target food in the cooking equipment, determining the cooking influence coefficient of the auxiliary cooking utensils on the target food;

[0124] According to the cooking influence coefficient, the first food state parameter is adjusted to obtain the second food state parameter, and the second food state parameter is determined as the expected food state parameter of the target food under the real-time working state parameter;

[0125] When it is detected that there is no auxiliary cooking utensil corresponding to the target ingredient in the cooking device, the first ingredient state parameter is determined as the expected ingredient state parameter of the target ingredient under the real-time working state parameter.

[0126] Among them, optionally, the auxiliary cooking utensils can be used to hold the target food in / on the cooking device to avoid direct contact between the target food and the cooking device; illustratively, the auxiliary cooking utensils can be oil paper or tin foil, which is not limited in the embodiments of the present invention.

[0127] It can be seen that this optional embodiment can also combine the cooking recipe and the real-time working status parameters to determine the first ingredient status parameters of the target ingredient under the real-time working status parameters, and then detect whether there are auxiliary cooking utensils corresponding to the target ingredient in the cooking equipment. If the existence of auxiliary cooking utensils is detected, it is necessary to first determine the cooking influence coefficient of the auxiliary cooking utensils on the target ingredient, and then adjust the first ingredient status parameters according to the cooking influence coefficient to obtain the expected ingredient status parameters. If it is detected that there are no auxiliary cooking utensils, the first ingredient status parameters are directly determined as the expected ingredient status parameters. By analyzing the auxiliary cooking utensils in the cooking equipment, the flexibility of selecting the method for determining the expected ingredient status parameters of the target ingredient can be improved, thereby further improving the accuracy of determining the expected ingredient status parameters of the target ingredient, which is beneficial to further improve the accuracy of judging whether there is an abnormality in the cooking equipment.

[0128] In this optional embodiment, optionally, determining the first ingredient state parameter of the target ingredient under the real-time working state parameter according to the cooking recipe and the real-time working state parameter may include the following operations:

[0129] According to the real-time working state parameter, a current cooking step matching the real-time working state parameter is selected from the cooking recipe;

[0130] According to the cooking recipe, the first ingredient state parameter of the target ingredient in the current cooking step is analyzed.

[0131] It can be seen that this optional embodiment can also determine the current cooking step from the cooking recipe through real-time working status parameters, and then analyze the first ingredient status parameters of the target ingredient in the current cooking step, which can improve the accuracy of determining the first ingredient status parameters of the target ingredient, and is conducive to improving the accuracy of determining the expected ingredient status parameters of the target ingredient.

[0132] In this optional embodiment, optionally, determining the cooking influence coefficient of the auxiliary cooking utensils on the target food may include the following operations:

[0133] Obtaining utensil parameters corresponding to the auxiliary cooking utensil; wherein the utensil parameters may include one or more combinations of utensil material type, utensil shape, utensil thickness, utensil edge height, a first contact area between the auxiliary cooking utensil and the target food, and a second contact area between the auxiliary cooking utensil and the cooking device;

[0134] Acquire the food type of the target food and the equipment type of the cooking equipment;

[0135] According to the utensil parameters, food type and equipment type, the influence coefficient of auxiliary cooking utensils on the cooking of target ingredients is analyzed.

[0136] Among them, if the value of the cooking influence coefficient is larger, it means that it is more difficult for the cooking equipment to heat and cook the target food under the influence of the auxiliary cooking utensils.

[0137] It can be seen that this optional embodiment can also analyze the cooking influence coefficient of the auxiliary utensils on the target ingredients based on the acquired utensil parameters of the auxiliary cooking utensils, the ingredient type of the target ingredients and the equipment type of the cooking equipment, which can improve the accuracy of the analysis of the auxiliary cooking utensils, ingredients and cooking equipment, thereby helping to improve the accuracy of determining the cooking influence coefficient, and further helping to improve the accuracy of determining the expected ingredient state parameters of the target ingredients.

[0138] Embodiment 2

[0139] See also Figure 2 , Figure 2 The following is a flow chart of a method for implementing abnormal analysis and early warning for cooking equipment disclosed in an embodiment of the present invention. Figure 2 The described abnormal analysis and early warning implementation method applied to cooking equipment can be applied to an abnormal analysis and early warning implementation device, which may include an analysis and early warning terminal, an analysis and early warning device, an analysis and early warning system, and a server, wherein the server may be a cloud server or a local server, which is not limited in the embodiments of the present invention; wherein, exemplarily, the cooking equipment may include an oven, a barbecue oven, an air fryer, and may also include other equipment that can be used for cooking and baking food, which is not limited in the embodiments of the present invention. Figure 2 As shown, the abnormality analysis and early warning implementation method applied to the cooking equipment may include the following operations:

[0140] 201. During a cooking process of the cooking device, status information related to the cooking device is collected.

[0141] In the embodiment of the present invention, the status information includes real-time working status parameters of the cooking device, real-time food status parameters of the target food to be cooked by the cooking device, and expected food status parameters corresponding to the target food.

[0142] 202. Determine whether there is any abnormality in the cooking equipment according to the status information.

[0143] In the embodiment of the present invention, the abnormality includes equipment abnormality and / or food abnormality.

[0144] In the embodiment of the present invention, when step 202 determines that the cooking device is abnormal, that is, when the determination result of step 202 is yes, the operation of step 203 is performed; optionally, when step 202 determines that the cooking device is not abnormal, that is, when the determination result of step 202 is no, the operation of step 201 may be re-executed, or the present process may be terminated, wherein, Figure 2The method described is based on the example of ending the process, and the embodiment of the present invention is not limited thereto.

[0145] 203. Generate warning prompt information corresponding to the abnormality, and control the cooking device to execute an alarm operation corresponding to the warning prompt information.

[0146] In the embodiment of the present invention, optionally, the warning prompt information may include a combination of one or more of the warning time of abnormality occurrence, the probability of abnormality occurrence, and the abnormality type, which is not limited in the embodiment of the present invention.

[0147] In an embodiment of the present invention, optionally, when the cooking device is equipped with a display unit (such as a display screen), the alarm operation may include a visual alarm operation, that is, displaying the early warning prompt information on the display unit; when the cooking device is equipped with an audio-visual alarm unit, the alarm operation may include an audio-visual alarm operation, that is, issuing a light alarm signal and transmitting the early warning prompt information to the user through a sound alarm signal, which is not limited in the embodiment of the present invention.

[0148] 204. When the abnormality includes an equipment abnormality, determine that the warning level of the cooking equipment is the first warning level.

[0149] 205. When the abnormality does not include equipment abnormality but includes food abnormality, the warning level of the cooking equipment is determined to be the second warning level.

[0150] In the embodiment of the present invention, the security threat level corresponding to the first warning level is higher than the security threat level corresponding to the second warning level.

[0151] 206. When the warning level of the cooking device is the first warning level, control the cooking device to stop performing the cooking operation.

[0152] In an embodiment of the present invention, optionally, after controlling the cooking device to stop performing the cooking operation, the cooking device can also be controlled to perform an automatic power-off operation to cut off the power supply of the cooking device, thereby further improving the safety of use of the cooking device, which is not limited in the embodiment of the present invention.

[0153] 207. When the warning level of the cooking device is the second warning level, determine the adjustment control parameters of the cooking device corresponding to the cooking operation according to the food abnormality and the real-time working status parameters.

[0154] In an embodiment of the present invention, optionally, the adjustment control parameters may include a combination of one or more of the target cooking mode, target cooking fire level, target cooking temperature, target cooking humidity, target cooking wind speed, and target cooking time to be achieved after adjustment, which is not limited by the embodiment of the present invention; further optionally, when the cooking equipment is equipped with an ingredient flipping and stirring control unit, the adjustment control parameters may also include a combination of one or more of the ingredient flipping control parameters, ingredient stirring control parameters, and ingredient rotation control parameters, wherein the ingredient flipping and stirring control unit may be used to flip and / or stir and / or rotate the ingredients, which is not limited by the embodiment of the present invention.

[0155] 208. According to the adjustment control parameters, control the cooking equipment to perform the cooking adjustment operation.

[0156] In the embodiment of the present invention, for other detailed descriptions of step 201 - step 202, please refer to the detailed description of step 101 - step 102 in the first embodiment, and the embodiment of the present invention will not be repeated here.

[0157] It can be seen that the implementation of the method described in the embodiment of the present invention can first collect the real-time working status parameters of the baking device and the food status parameters of the food cooked by the baking device during the process of the baking device cooking food, and then determine whether there is an equipment abnormality and / or food abnormality in the baking device based on the above status information; if it is determined that there is an abnormality in the baking device, the baking device is controlled to execute a warning operation corresponding to the abnormality, and abnormal warning analysis of the baking device can be implemented based on the real-time working status and food status of the baking device, which can improve the timeliness and accuracy of the abnormal analysis of the baking device, thereby improving the timeliness and accuracy of the abnormal warning of the baking device, which is beneficial to improving the timeliness of handling abnormal situations of the baking device and improving the safety of use of the baking device. In addition, it is also possible to generate early warning prompt information corresponding to the abnormality and control the cooking equipment to perform corresponding alarm operations, and when the abnormality includes equipment abnormality, the early warning level of the cooking equipment is determined to be the first early warning level to control the cooking equipment to stop cooking, and when the abnormality does not include equipment abnormality but includes food abnormality, the early warning level of the cooking equipment is determined to be the second early warning level to adjust the cooking operation of the cooking equipment according to the food abnormality and real-time working status parameters. It is possible to first prompt the user that the cooking equipment has an abnormality through an alarm operation and then perform an emergency control operation on the cooking equipment. It can improve the execution flexibility and accuracy of the early warning operation, which is beneficial to improving the timeliness and accuracy of the abnormal early warning of the cooking equipment, and improving the timeliness and flexibility of the emergency control of the cooking equipment, which is beneficial to further improve the timeliness of handling abnormal situations of the cooking equipment, and further improve the safety of use of the cooking equipment.

[0158] In an optional embodiment, judging whether the cooking device is abnormal according to the status information may include the following operations:

[0159] According to the real-time working state parameters of the cooking and baking equipment, determining whether the real-time working state parameters meet the determined first abnormal condition;

[0160] When it is determined that the real-time working state parameter meets the first abnormal condition, it is determined that the cooking device has an abnormality;

[0161] According to the real-time food state parameter and the expected food state parameter, determining whether the target food satisfies the determined second abnormal condition;

[0162] When it is determined that the target food satisfies the second abnormal condition, it is determined that there is food abnormality in the cooking equipment.

[0163] It can be seen that this optional embodiment can determine that there is an equipment abnormality in the baking equipment if it is judged that the real-time working status parameters of the baking equipment meet the first abnormal condition based on the real-time working status parameters of the baking equipment; and determine that there is an food abnormality in the baking equipment if it is judged that the target food meets the second abnormal condition based on the real-time food status parameters and the expected food status parameters. This can improve the accuracy of the judgment on whether there is an equipment abnormality and / or food abnormality in the baking equipment, thereby helping to improve the timeliness and accuracy of the abnormality analysis of the baking equipment.

[0164] In this optional embodiment, optionally, judging whether the real-time working state parameter satisfies the determined first abnormal condition according to the real-time working state parameter of the cooking device may include the following operations:

[0165] Detecting a cooking control instruction received by the cooking device;

[0166] Determine the instruction source information corresponding to the cooking control instruction, and determine whether the cooking control instruction satisfies the determined instruction abnormality condition based on the cooking control instruction and the instruction source information, to obtain a first device judgment result; and / or,

[0167] According to the cooking control instructions and real-time working status parameters, determine the execution accuracy of the instructions corresponding to the cooking equipment;

[0168] Determine whether the execution accuracy of the instruction is higher than or equal to a preset accuracy, and obtain a determination result of the second device; and / or,

[0169] When the cooking device is provided with a cooking cavity, collecting real-time cavity parameters of the cooking cavity;

[0170] According to the real-time working state parameters and the real-time cavity parameters, it is judged whether the cooking equipment meets the determined equipment parameter abnormality condition, and a third equipment judgment result is obtained;

[0171] When it is detected that any device judgment result is yes, it is determined that the real-time working state parameter meets the determined first abnormal condition; all device judgment results include at least one of the first device judgment result, the second device judgment result and the third device judgment result;

[0172] When it is detected that the judgment results of all devices are negative, it is determined that the real-time working status parameter does not satisfy the determined first abnormal condition.

[0173] Among them, optionally, detecting the cooking control instructions received by the cooking device can specifically include: performing intelligent analysis on the cooking recipe to obtain the cooking control instructions; or receiving the cooking control instructions triggered by the user corresponding to the cooking device, which is not limited to the embodiments of the present invention.

[0174] Optionally, judging whether the cooking control instruction satisfies the determined instruction abnormality condition according to the cooking control instruction and the instruction source information, and obtaining the judgment result of the first device may include the following operations:

[0175] According to the instruction source information, determining whether the instruction source corresponding to the cooking control instruction belongs to the preset instruction source corresponding to the cooking device;

[0176] Determining the degree of compatibility between the cooking control instruction and the determined current cooking step for the target food, and judging whether the degree of compatibility is greater than or equal to a preset degree of compatibility;

[0177] When it is determined that the instruction source corresponding to the cooking control instruction does not belong to the preset instruction source corresponding to the cooking device or the adaptability is lower than the preset adaptability, it is determined that the cooking control instruction meets the determined instruction abnormality condition;

[0178] When it is determined that the instruction source corresponding to the cooking control instruction belongs to the preset instruction source corresponding to the cooking device and the adaptability is higher than or equal to the preset adaptability, it is determined that the cooking control instruction does not meet the determined instruction abnormality condition.

[0179] Optionally, the source of the preset instructions may include a user who has control authority over the cooking device (eg, an adult user) and / or an intelligent cooking analysis algorithm corresponding to the cooking device, which is not limited in the embodiment of the present invention.

[0180] In this way, by analyzing whether the source of the cooking control instruction is legal and whether the cooking control instruction matches the current cooking step, it can be determined whether the cooking control instruction meets the instruction abnormality condition, which can improve the accuracy of the analysis of the cooking control instruction, thereby improving the accuracy of the judgment on whether the cooking control instruction meets the instruction abnormality condition, and further helping to improve the accuracy of the judgment on whether the real-time working status parameter is the first abnormal condition.

[0181] Optionally, the real-time cavity parameter may include a combination of one or more of the real-time cavity air pressure, the real-time cavity temperature and the real-time cavity humidity, which is not limited in the embodiment of the present invention.

[0182] Optionally, judging whether the cooking device satisfies the determined device parameter abnormality condition according to the real-time working state parameter and the real-time cavity parameter, and obtaining the third device judgment result may include the following operations:

[0183] Determine an expected cavity parameter range of the cooking cavity according to the real-time working status parameters;

[0184] Determine whether the real-time cavity parameters are within the expected cavity parameter range;

[0185] When it is determined that the real-time cavity parameter is within the expected cavity parameter range, it is determined that the cooking device does not meet the determined device parameter abnormality condition;

[0186] When it is determined that the real-time cavity parameter is not within the expected cavity parameter range, it is determined that the cooking device meets the determined device parameter abnormality condition.

[0187] In this way, the expected cavity parameter range of the cooking cavity can be determined according to the real-time working status parameters. If it is determined that the real-time cavity parameters are within the expected cavity parameter range, it is determined that the cooking equipment does not meet the equipment parameter abnormality condition. Otherwise, it is determined that the cooking equipment meets the equipment parameter abnormality condition. This can improve the accuracy of the analysis of the cooking situation in the cooking cavity, thereby helping to improve the accuracy of the judgment on whether the cooking equipment meets the determined equipment parameter abnormality condition, and further helping to improve the accuracy of the judgment on whether the real-time working status parameters are the first abnormal condition.

[0188] It can be seen that this optional embodiment can also determine whether the cooking control instruction meets the determined instruction abnormality condition based on the cooking control instruction received by the cooking device and the instruction source information corresponding to the cooking control instruction, and / or, determine the execution accuracy of the instruction corresponding to the cooking device based on the cooking control instruction and the real-time working status parameter, and determine whether the instruction execution accuracy is higher than or equal to the preset accuracy, and / or, when the cooking device is provided with a cooking cavity, determine whether the cooking device meets the determined equipment parameter abnormality condition based on the real-time working status parameter and the collected real-time cavity parameters of the cooking cavity; if any of the above judgment results is detected to be yes, it is determined that the real-time working status parameter meets the first abnormality condition; otherwise, it is determined that the real-time working status parameter does not meet the determined first abnormality condition, which can improve the comprehensiveness and accuracy of the analysis of the working state of the cooking device, thereby facilitating the improvement of the accuracy of the judgment of whether the real-time working status parameter meets the first abnormality condition, and further facilitating the improvement of the accuracy of the judgment of whether there is an equipment abnormality in the cooking device, and further facilitating the improvement of the accuracy of the fault warning of the cooking device, and further facilitating the improvement of the safety of the use of the cooking device.

[0189] In this optional embodiment, optionally, judging whether the target food satisfies the determined second abnormal condition according to the real-time food state parameter and the expected food state parameter may include the following operations:

[0190] Analyze the real-time food state parameters and the expected food state parameters to obtain the similarity of the state parameters corresponding to the target food;

[0191] Determine whether the state parameter similarity is greater than or equal to the preset parameter similarity;

[0192] When it is determined that the state parameter similarity is less than the preset parameter similarity, it is determined that the target food satisfies the determined second abnormal condition;

[0193] When it is determined that the state parameter similarity is greater than or equal to the preset parameter similarity, it is determined that the target food does not satisfy the determined second abnormal condition.

[0194] It can be seen that this optional embodiment can also obtain the state parameter similarity by analyzing the real-time food state parameters and the expected food state parameters. If it is judged that the state parameter similarity is less than the preset parameter similarity, it is determined that the target food satisfies the second abnormal condition. Otherwise, it is determined that the target food does not satisfy the second abnormal condition. This can improve the accuracy of the analysis of the food state parameters, thereby improving the accuracy of the judgment of whether the target food satisfies the second abnormal condition, which in turn is conducive to improving the accuracy of the judgment of whether there is food abnormality in the target food, which is conducive to realizing early warning of abnormal conditions such as burnt food when the temperature, humidity or other food state parameters of the target food do not meet the expected food state parameters.

[0195] Embodiment 3

[0196] See also Figure 3 , Figure 3 1 is a schematic diagram of a structure of an abnormality analysis and early warning implementation device for a cooking device disclosed in an embodiment of the present invention. Figure 3 The abnormal analysis and early warning implementation device applied to the cooking equipment described may include an analysis and early warning terminal, an analysis and early warning device, an analysis and early warning system and a server, wherein the server may be a cloud server or a local server, which is not limited in the embodiment of the present invention; wherein, for example, the cooking equipment may include an oven, a barbecue oven, an air fryer, or other equipment that can be used for cooking and baking food, which is not limited in the embodiment of the present invention. Figure 3 As shown, the abnormality analysis and early warning implementation device applied to the cooking equipment may include:

[0197] The collection module 301 is used to collect status information related to the cooking device during the cooking process of the cooking device; the status information includes real-time working status parameters of the cooking device, real-time food status parameters of the target food to be cooked by the cooking device, and expected food status parameters corresponding to the target food;

[0198] The judgment module 302 is used to judge whether there is an abnormality in the cooking device according to the status information; the abnormality includes device abnormality and / or food abnormality;

[0199] The control module 303 is used to control the cooking device to perform a warning operation corresponding to the abnormality when the judgment module 302 judges that the cooking device has an abnormality.

[0200] It can be seen that the device described in the embodiment of the present invention can, during the process of the baking device baking food, first collect the real-time working status parameters of the baking device and the food status parameters of the food cooked by the baking device, and then determine whether there is an equipment abnormality and / or food abnormality in the baking device based on the above status information; if it is determined that there is an abnormality in the baking device, the baking device is controlled to execute a warning operation corresponding to the abnormality, and can implement abnormal warning analysis of the baking device based on the real-time working status and food status of the baking device, thereby improving the timeliness and accuracy of the abnormal analysis of the baking device, thereby improving the timeliness and accuracy of the abnormal warning of the baking device, which is beneficial to improving the timeliness of handling abnormal situations of the baking device and improving the safety of use of the baking device.

[0201] In an optional embodiment, the specific manner in which the acquisition module 301 acquires the status information related to the cooking device may include:

[0202] Based on the first detection unit corresponding to the cooking equipment, collecting real-time working status parameters of the cooking equipment;

[0203] Based on the second detection unit corresponding to the cooking device, real-time food state parameters of the target food to be cooked by the cooking device are collected;

[0204] Obtaining a cooking recipe for a target ingredient from a cooking device;

[0205] According to the cooking recipe and the real-time working state parameters, the expected food state parameters of the target food under the real-time working state parameters are determined.

[0206] It can be seen that the device described in the implementation of this optional embodiment can collect the real-time working status parameters of the cooking equipment based on the first detection unit corresponding to the cooking equipment, and collect the real-time food status parameters of the target food required to be cooked by the cooking equipment based on the second detection unit, and then determine the expected food status parameters of the target food under the real-time working status parameters based on the acquired cooking recipe and real-time working status parameters of the cooking equipment, which can improve the collection flexibility and accuracy of the status information related to the cooking equipment, and is conducive to improving the accuracy of judging whether there is any abnormality in the cooking equipment.

[0207] In this optional embodiment, optionally, the specific manner in which the acquisition module 301 determines the expected food state parameters of the target food under the real-time working state parameters according to the cooking recipe and the real-time working state parameters may include:

[0208] Determine a first food state parameter of the target food under the real-time working state parameter according to the cooking recipe and the real-time working state parameter;

[0209] Detecting whether there are auxiliary cooking utensils corresponding to the target ingredients in the cooking equipment;

[0210] When it is detected that there are auxiliary cooking utensils corresponding to the target food in the cooking equipment, determining the cooking influence coefficient of the auxiliary cooking utensils on the target food;

[0211] According to the cooking influence coefficient, the first food state parameter is adjusted to obtain the second food state parameter, and the second food state parameter is determined as the expected food state parameter of the target food under the real-time working state parameter;

[0212] When it is detected that there is no auxiliary cooking utensil corresponding to the target ingredient in the cooking device, the first ingredient state parameter is determined as the expected ingredient state parameter of the target ingredient under the real-time working state parameter.

[0213] It can be seen that the device described in the implementation of this optional embodiment can also combine the cooking recipe and the real-time working status parameters to determine the first ingredient status parameters of the target ingredient under the real-time working status parameters, and then detect whether there are auxiliary cooking utensils corresponding to the target ingredient in the cooking equipment. If the presence of auxiliary cooking utensils is detected, it is necessary to first determine the cooking influence coefficient of the auxiliary cooking utensils on the target ingredient, and then adjust the first ingredient status parameters according to the cooking influence coefficient to obtain the expected ingredient status parameters. If it is detected that there are no auxiliary cooking utensils, the first ingredient status parameters are directly determined as the expected ingredient status parameters. By analyzing the auxiliary cooking utensils in the cooking equipment, the flexibility of selecting the method for determining the expected ingredient status parameters of the target ingredient can be improved, thereby further improving the accuracy of determining the expected ingredient status parameters of the target ingredient, which is beneficial to further improve the accuracy of judging whether there is an abnormality in the cooking equipment.

[0214] In another optional embodiment, the specific manner in which the judging module 302 judges whether there is an abnormality in the cooking device according to the state information may include:

[0215] According to the real-time working state parameters of the cooking and baking equipment, determining whether the real-time working state parameters meet the determined first abnormal condition;

[0216] When it is determined that the real-time working state parameter meets the first abnormal condition, it is determined that the cooking device has an abnormality;

[0217] According to the real-time food state parameter and the expected food state parameter, determining whether the target food satisfies the determined second abnormal condition;

[0218] When it is determined that the target food satisfies the second abnormal condition, it is determined that there is food abnormality in the cooking equipment.

[0219] It can be seen that the device described in the implementation of this optional embodiment can determine that there is an equipment abnormality in the baking equipment if it is judged that the real-time working status parameters of the baking equipment meet the first abnormal condition based on the real-time working status parameters of the baking equipment, and determine that there is an food abnormality in the baking equipment if it is judged that the target food meets the second abnormal condition based on the real-time food status parameters and the expected food status parameters. This can improve the accuracy of the judgment on whether there is an equipment abnormality and / or food abnormality in the baking equipment, thereby helping to improve the timeliness and accuracy of the abnormality analysis of the baking equipment.

[0220] In this optional embodiment, the specific manner in which the judgment module 302 judges whether the real-time working state parameter satisfies the determined first abnormal condition according to the real-time working state parameter of the cooking device may include:

[0221] Detecting a cooking control instruction received by the cooking device;

[0222] Determine the instruction source information corresponding to the cooking control instruction, and determine whether the cooking control instruction satisfies the determined instruction abnormality condition based on the cooking control instruction and the instruction source information, to obtain a first device judgment result; and / or,

[0223] According to the cooking control instructions and real-time working status parameters, determine the execution accuracy of the instructions corresponding to the cooking equipment;

[0224] Determine whether the execution accuracy of the instruction is higher than or equal to a preset accuracy, and obtain a determination result of the second device; and / or,

[0225] When the cooking device is provided with a cooking cavity, collecting real-time cavity parameters of the cooking cavity;

[0226] According to the real-time working state parameters and the real-time cavity parameters, it is judged whether the cooking equipment meets the determined equipment parameter abnormality condition, and a third equipment judgment result is obtained;

[0227] When it is detected that any device judgment result is yes, it is determined that the real-time working state parameter meets the determined first abnormal condition; all device judgment results include at least one of the first device judgment result, the second device judgment result and the third device judgment result;

[0228] When it is detected that the judgment results of all devices are negative, it is determined that the real-time working status parameter does not satisfy the determined first abnormal condition.

[0229] It can be seen that the device described in the implementation of this optional embodiment can also determine whether the cooking control instruction meets the determined instruction abnormality condition based on the cooking control instruction received by the cooking device and the instruction source information corresponding to the cooking control instruction, and / or, determine the execution accuracy of the instruction corresponding to the cooking device based on the cooking control instruction and the real-time working status parameter, and determine whether the instruction execution accuracy is higher than or equal to the preset accuracy, and / or, when the cooking device is provided with a cooking cavity, determine whether the cooking device meets the determined equipment parameter abnormality condition based on the real-time working status parameter and the real-time cavity parameter of the cooking cavity collected; if any of the above judgment results is detected to be yes, it is determined that the real-time working status parameter meets the first abnormality condition; otherwise, it is determined that the real-time working status parameter does not meet the determined first abnormality condition, which can improve the comprehensiveness and accuracy of the analysis of the working state of the cooking device, thereby facilitating the improvement of the accuracy of the judgment of whether the real-time working status parameter meets the first abnormality condition, and further facilitating the improvement of the accuracy of the judgment of whether there is an equipment abnormality in the cooking device, and further facilitating the improvement of the accuracy of the fault warning of the cooking device, and further facilitating the improvement of the safety of the use of the cooking device.

[0230] In this optional embodiment, optionally, the specific manner in which the judgment module 302 judges whether the target food satisfies the determined second abnormal condition according to the real-time food state parameter and the expected food state parameter may include:

[0231] Analyze the real-time food state parameters and the expected food state parameters to obtain the similarity of the state parameters corresponding to the target food;

[0232] Determine whether the state parameter similarity is greater than or equal to the preset parameter similarity;

[0233] When it is determined that the state parameter similarity is less than the preset parameter similarity, it is determined that the target food satisfies the determined second abnormal condition;

[0234] When it is determined that the state parameter similarity is greater than or equal to the preset parameter similarity, it is determined that the target food does not satisfy the determined second abnormal condition.

[0235] It can be seen that the device described in the implementation of this optional embodiment can also obtain the state parameter similarity by analyzing the real-time food state parameters and the expected food state parameters. If it is judged that the state parameter similarity is less than the preset parameter similarity, it is determined that the target food satisfies the second abnormal condition. Otherwise, it is determined that the target food does not satisfy the second abnormal condition. This can improve the accuracy of the analysis of the food state parameters, thereby improving the accuracy of the judgment of whether the target food satisfies the second abnormal condition, which in turn is conducive to improving the accuracy of the judgment of whether there is food abnormality in the target food, which is conducive to realizing early warning of abnormal conditions such as burnt food when the temperature, humidity or other food state parameters of the target food do not meet the expected food state parameters.

[0236] In another optional embodiment, the specific manner in which the control module 303 controls the cooking device to perform the warning operation corresponding to the abnormality may include:

[0237] Generate warning prompt information corresponding to the abnormality, and control the cooking equipment to perform the alarm operation corresponding to the warning prompt information;

[0238] When the abnormality includes an equipment abnormality, determining the warning level of the cooking equipment to be the first warning level;

[0239] When the abnormality does not include equipment abnormality but includes food abnormality, the warning level of the cooking equipment is determined to be the second warning level; the security threat level corresponding to the first warning level is higher than the security threat level corresponding to the second warning level;

[0240] When the warning level of the cooking device is the first warning level, controlling the cooking device to stop performing the cooking operation;

[0241] When the warning level of the baking equipment is the second warning level, the adjustment control parameters of the baking equipment corresponding to the baking operation are determined according to the food abnormality and the real-time working status parameters, and the baking equipment is controlled to perform the baking adjustment operation according to the adjustment control parameters.

[0242] It can be seen that the device described in the implementation of this optional embodiment is able to generate early warning prompt information corresponding to the abnormality and control the cooking equipment to perform corresponding alarm operations, and when the abnormality includes equipment abnormality, the early warning level of the cooking equipment is determined to be the first early warning level to control the cooking equipment to stop cooking, and when the abnormality does not include equipment abnormality but includes food abnormality, the early warning level of the cooking equipment is determined to be the second early warning level to adjust the cooking operation of the cooking equipment according to the food abnormality and real-time working status parameters. It can be achieved by first prompting the user that the cooking equipment has an abnormality through an alarm operation and then performing an emergency control operation on the cooking equipment, which can improve the execution flexibility and accuracy of the early warning operation, which is beneficial to improving the timeliness and accuracy of the abnormal early warning of the cooking equipment, and improving the timeliness and flexibility of the emergency control of the cooking equipment, so as to further improve the timeliness of handling abnormal situations of the cooking equipment, and further improve the safety of use of the cooking equipment.

[0243] Embodiment 4

[0244] See also Figure 4 , Figure 4 FIG. 1 is a schematic diagram of another abnormality analysis and early warning implementation device for a cooking device disclosed in an embodiment of the present invention. Figure 4 As shown, the abnormality analysis and early warning implementation device applied to the cooking equipment may include:

[0245] A memory 401 storing executable program codes;

[0246] a processor 402 coupled to the memory 401;

[0247] The processor 402 calls the executable program code stored in the memory 401 to execute part or all of the steps in the abnormality analysis and early warning implementation method applied to the cooking device described in the first embodiment of the present invention or the second embodiment of the present invention.

[0248] Embodiment 5

[0249] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the abnormality analysis and early warning implementation method applied to cooking equipment described in Embodiment 1 or Embodiment 2 of the present invention.

[0250] Embodiment 6

[0251] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute part or all of the steps in the abnormality analysis and early warning implementation method applied to cooking equipment described in Example 1 or Example 2.

[0252] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0253] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0254] Finally, it should be noted that the abnormal analysis and early warning implementation method and device for cooking equipment disclosed in the embodiment of the present invention discloses only the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for abnormal analysis and early warning for cooking equipment, characterized in that: The method comprises: During the cooking process of the cooking device, status information related to the cooking device is collected; the status information includes real-time working status parameters of the cooking device, real-time food status parameters of the target food to be cooked by the cooking device, and expected food status parameters corresponding to the target food; According to the state information, determining whether the cooking device has an abnormality; the abnormality includes device abnormality and / or food abnormality; When it is determined that the cooking device has the abnormality, the cooking device is controlled to perform an early warning operation corresponding to the abnormality.

2. The abnormality analysis and early warning implementation method for cooking and baking equipment according to claim 1 is characterized in that: The collecting of status information related to the cooking device includes: Based on the first detection unit corresponding to the cooking device, collecting real-time working status parameters of the cooking device; Based on the second detection unit corresponding to the cooking device, real-time food state parameters of the target food to be cooked by the cooking device are collected; Obtaining a cooking recipe of the cooking device for the target food; According to the cooking recipe and the real-time working state parameters, expected food state parameters of the target food under the real-time working state parameters are determined.

3. The abnormality analysis and early warning implementation method for cooking and baking equipment according to claim 2 is characterized in that: The step of determining the expected food state parameters of the target food under the real-time working state parameters according to the cooking recipe and the real-time working state parameters includes: Determining, according to the cooking recipe and the real-time working state parameter, a first ingredient state parameter of the target ingredient under the real-time working state parameter; Detecting whether there is auxiliary cooking utensils corresponding to the target food in the cooking equipment; When it is detected that the auxiliary cooking utensils corresponding to the target food exist in the cooking equipment, determining the cooking influence coefficient of the auxiliary cooking utensils on the target food; According to the cooking influence coefficient, the first food state parameter is adjusted to obtain a second food state parameter, and the second food state parameter is determined as an expected food state parameter of the target food under the real-time working state parameter; When it is detected that the auxiliary cooking utensil corresponding to the target ingredient does not exist in the cooking device, the first ingredient state parameter is determined as the expected ingredient state parameter of the target ingredient under the real-time working state parameter.

4. The abnormality analysis and early warning implementation method for cooking and baking equipment according to any one of claims 1 to 3, characterized in that: The determining, based on the status information, whether the cooking device is abnormal includes: According to the real-time working state parameters of the cooking device, determining whether the real-time working state parameters meet the determined first abnormal condition; When it is determined that the real-time working state parameter meets the first abnormal condition, determining that the cooking device has the device abnormality; According to the real-time food state parameter and the expected food state parameter, determining whether the target food satisfies the determined second abnormal condition; When it is determined that the target food satisfies the second abnormal condition, it is determined that the cooking device has the food abnormality.

5. The abnormality analysis and early warning implementation method for cooking and baking equipment according to claim 4 is characterized in that: The step of judging, according to the real-time working state parameter of the cooking device, whether the real-time working state parameter satisfies the determined first abnormal condition comprises: detecting a cooking control instruction received by the cooking device; Determine the instruction source information corresponding to the cooking control instruction, and determine whether the cooking control instruction satisfies the determined instruction abnormality condition based on the cooking control instruction and the instruction source information, to obtain a first device judgment result; and / or, Determining the execution accuracy of the instruction corresponding to the cooking device according to the cooking control instruction and the real-time working status parameter; Determine whether the execution accuracy of the instruction is higher than or equal to a preset accuracy, and obtain a determination result of the second device; and / or, When the cooking device is provided with a cooking cavity, collecting real-time cavity parameters of the cooking cavity; According to the real-time working state parameter and the real-time cavity parameter, judging whether the cooking device meets the determined device parameter abnormality condition, and obtaining a third device judgment result; When it is detected that any device judgment result is yes, it is determined that the real-time working state parameter meets the determined first abnormal condition; all the device judgment results include at least one of the first device judgment result, the second device judgment result and the third device judgment result; When it is detected that the judgment results of all the devices are negative, it is determined that the real-time working status parameter does not satisfy the determined first abnormal condition.

6. The abnormality analysis and early warning implementation method for cooking and baking equipment according to claim 4, characterized in that: The determining, based on the real-time food state parameter and the expected food state parameter, whether the target food satisfies the determined second abnormal condition includes: Analyzing the real-time food state parameter and the expected food state parameter to obtain the similarity of the state parameter corresponding to the target food; Determining whether the state parameter similarity is greater than or equal to a preset parameter similarity; When it is determined that the state parameter similarity is less than the preset parameter similarity, determining that the target food satisfies the determined second abnormal condition; When it is determined that the state parameter similarity is greater than or equal to the preset parameter similarity, it is determined that the target food does not satisfy the determined second abnormal condition.

7. The abnormality analysis and early warning implementation method for cooking equipment according to any one of claims 1, 2, 3, 5 and 6, characterized in that: The controlling the cooking device to perform the warning operation corresponding to the abnormality includes: Generate early warning prompt information corresponding to the abnormality, and control the cooking device to perform an alarm operation corresponding to the early warning prompt information; When the abnormality includes the abnormality of the device, determining that the warning level of the cooking device is the first warning level; When the abnormality does not include the abnormality of the device but includes the abnormality of the food, determining that the warning level of the cooking device is the second warning level; the security threat level corresponding to the first warning level is higher than the security threat level corresponding to the second warning level; When the warning level of the cooking device is the first warning level, controlling the cooking device to stop performing the cooking operation; When the warning level of the baking equipment is the second warning level, the adjustment control parameters of the baking equipment corresponding to the baking operation are determined according to the food abnormality and the real-time working status parameters, and the baking equipment is controlled to perform the cooking adjustment operation according to the adjustment control parameters.

8. An abnormality analysis and early warning implementation device applied to cooking equipment, characterized in that: The device comprises: A collection module, used for collecting status information related to the cooking device during the cooking process of the cooking device; the status information includes real-time working status parameters of the cooking device, real-time food status parameters of the target food to be cooked by the cooking device, and expected food status parameters corresponding to the target food; A judgment module, used for judging whether the cooking device has an abnormality according to the state information; the abnormality includes device abnormality and / or food abnormality; The control module is used to control the cooking device to execute a warning operation corresponding to the abnormality when the judgment module judges that the cooking device has the abnormality.

9. An abnormality analysis and early warning implementation device applied to cooking equipment, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the abnormality analysis and early warning implementation method applied to the cooking equipment as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the abnormality analysis and early warning implementation method applied to the cooking equipment as described in any one of claims 1-7.

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