Cooking pressure early warning method and device based on user safety behavior analysis

Abstract

The invention relates to the field of cooking pressure control, and discloses a cooking pressure early warning method and equipment based on user safety behavior analysis, and the method comprises the steps: obtaining food material characteristic data of food materials cooked by an electric pressure cooker, obtaining historical pressure state information of the electric pressure cooker, and obtaining current operation data of a user on the electric pressure cooker; obtaining current food material state information corresponding to the food material characteristic data and the historical pressure state information through a food material state monitoring database; determining a pressure early warning estimated value of the electric pressure cooker according to the historical pressure state information, the current food material state information and the current operation data through a food material state monitoring model; when the pressure early-warning estimated value is larger than or equal to the preset pressure early-warning estimated value, pressure relief prompt information is sent to the electric pressure cooker. According to the invention, dynamic risk assessment and active pressure state protection can be carried out on the user operation instruction in combination with food material physical characteristics.

Description

Technical Field

[0001] The present application relates to the technical field of cooking pressure control, and more specifically, to a cooking pressure warning method and device based on user safety behavior analysis. Background Art

[0002] The electric pressure cookers currently on the market generally use a pressure control method based on preset programs. That is, electric pressure cookers are usually set with fixed parameters such as pressure level, heating rate, pressure holding time, and pressure relief method according to different recipes (such as rice, meat, soup, etc.) before leaving the factory. After the user selects the corresponding program, the electric pressure cooker strictly follows the pre-stored time-pressure curve to automatically execute the entire cooking process. The pressure is controlled by mechanically executing the program logic. However, this static, pre-defined model lacks the ability to perceive and respond to dynamic changes in the actual cooking environment. In particular, it cannot adjust according to the physical properties of different ingredients (such as water content, viscosity, starch / protein content) or the user's real-time operations. In essence, it is a "program-driven" rather than "data or state-driven" control logic.

[0003] In addition, existing electric pressure cookers have the ability to receive user operation instructions (such as mode selection, pressure holding time setting, manual start / stop / exhaust) and execute accordingly. The control logic of the electric pressure cooker is mainly based on the user's explicit input and preset program rules. However, the control method of the existing electric pressure cooker cannot actively understand the specific characteristics of the ingredients currently in the cooking pot and the impact of the characteristics of the ingredients on the pressure state. For example, during user settings or program execution, the system cannot identify the risk that ingredients that easily produce a large amount of foam (such as beans, rice porridge, and soups that are easy to stick to the bottom) may block the exhaust channel under high pressure, nor can it detect the potential dry burning hazard caused by insufficient liquid addition by the user. Therefore, the existing electric pressure cooker lacks an intelligent mechanism for dynamic risk assessment and active pressure state protection based on user operation instructions combined with the physical characteristics of the ingredients, making it difficult to effectively avoid safety risks caused by the characteristics of the ingredients. Summary of the Invention

[0004] The purpose of this application is to provide a cooking pressure warning method and device based on user safety behavior analysis, which solves the technical problem that the existing electric pressure cooker cannot dynamically evaluate the risk of user operation instructions in combination with the physical properties of ingredients and actively protect the pressure state, and achieves the technical effect of dynamically evaluating the risk of user operation instructions in combination with the physical properties of ingredients and actively protecting the pressure state.

[0005] An embodiment of the present application provides a cooking pressure warning method based on user safety behavior analysis, the method comprising: obtaining food characteristic data of food cooked in an electric pressure cooker, obtaining historical pressure status information of the electric pressure cooker, and obtaining current operation data of the user on the electric pressure cooker; obtaining current food status information corresponding to the food characteristic data and historical pressure status information through a food status monitoring database; determining a pressure warning valuation of the electric pressure cooker based on historical pressure status information, current food status information, and current operation data through a food status monitoring model; and issuing a pressure relief prompt message to the electric pressure cooker when the pressure warning valuation is greater than or equal to a preset pressure warning valuation.

[0006] In one possible implementation, a food status monitoring model is used to determine a pressure warning valuation of an electric pressure cooker based on historical pressure status information, current food status information, and current operation data, including: obtaining target food status information corresponding to historical pressure status information and food characteristic data through a food status monitoring database; determining a difference between current food status information and target food status information as a current food status offset value; determining subsequent pressure status information of the electric pressure cooker based on current pressure status information and current operation data through a food status monitoring model; wherein the historical pressure status information includes cooking stage information corresponding to the historical pressure status; and determining the pressure warning valuation of the electric pressure cooker based on subsequent pressure status information and the current food status offset value through a food status monitoring model.

[0007] In another possible implementation, the method further includes: obtaining the pressure relief valve aperture information of the electric pressure cooker, and obtaining the food particle size information in the food characteristic data; determining the pressure relief state influencing factor according to the pressure relief valve aperture information, the food particle size information and the current food state information through the food state monitoring model; wherein the food state information includes the food viscosity index and the food expansion index; determining the product of the pressure warning valuation and the pressure relief state influencing factor, and adjusting the pressure warning valuation.

[0008] In another possible implementation, the method also includes: obtaining multiple historical cooking records of the user cooking through the electric pressure cooker, and obtaining the user's operation delay time after the pressure relief prompt information is issued in each historical cooking record, and determining the average operation delay time corresponding to multiple historical cooking records; obtaining the current pressure rise rate in the electric pressure cooker; determining the pre-pressure relief probability value through the pre-pressure relief control model according to the current pressure rise rate, the food viscosity index and the average operation delay time; when the pre-pressure relief probability value is greater than or equal to the preset pre-pressure relief probability value, controlling the electric pressure cooker to perform pre-pressure relief.

[0009] In another possible implementation, the method also includes: when cooking with an electric pressure cooker, obtaining the user's real-time operation delay time after the electric pressure cooker issues a pressure release prompt message; when the real-time operation delay time is greater than or equal to the average of the operation delay time of a preset ratio, controlling the electric pressure cooker to perform pre-pressure release and then enter the pressure holding mode.

[0010] In another possible implementation, the method also includes: obtaining the user's operation delay time after the pressure relief prompt information is issued in each historical cooking record, and determining the number of times the operation delay time corresponding to multiple historical cooking records is greater than the preset operation delay time, as the user's pressure relief alarm ignored number of times; when the pressure relief alarm ignored number of times is greater than or equal to the preset pressure relief alarm ignored number of times, reducing the preset pressure warning valuation according to a preset ratio; when the pressure relief alarm ignored number of times is less than the preset pressure relief alarm ignored number of times, increasing the preset pressure warning valuation according to a preset ratio.

[0011] In another possible implementation, the method further includes: obtaining food characteristic data of the food cooked in the electric pressure cooker, and determining a preset ratio for adjusting the preset pressure warning valuation and the preset operation delay time according to the food characteristic data.

[0012] In another possible implementation, the method also includes: when the user has multiple operation data on the electric pressure cooker in a time sequence, obtaining pressure warning valuations corresponding to the multiple operation data on the electric pressure cooker in a time sequence; when the first pressure warning valuation is greater than or equal to the preset pressure warning valuation, the second pressure warning valuation subsequent to the first pressure warning valuation in the time sequence is greater than or equal to the preset pressure warning valuation, and after the corresponding first pressure relief prompt information is issued for the first pressure warning valuation, the electric pressure cooker does not perform pressure relief, a pressure relief prompt information is issued to the electric pressure cooker, and the forced pressure relief program of the electric pressure cooker is started.

[0013] In another possible implementation, the method further includes: when the electric pressure cooker releases pressure according to the first pressure warning valuation, reducing the heating power according to a first ratio; when the electric pressure cooker releases pressure according to the second pressure warning valuation, reducing the heating power according to a second ratio; wherein the first ratio is proportional to the first pressure warning valuation, and the second ratio is proportional to the sum of the first pressure warning valuation and the second pressure warning valuation.

[0014] An embodiment of the present application also provides a cooking pressure warning device based on user safety behavior analysis, including a unit for executing any of the methods described above.

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

[0016] The embodiment of the present application provides a cooking pressure warning method based on user safety behavior analysis, the method comprising: obtaining food characteristic data of the food being cooked in the electric pressure cooker, obtaining historical pressure status information of the electric pressure cooker, and obtaining the user's current operation data on the electric pressure cooker; obtaining the food characteristic data and current food status information corresponding to the historical pressure status information through a food status monitoring database; determining a pressure warning estimate of the electric pressure cooker based on the historical pressure status information, the current food status information, and the current operation data through a food status monitoring model; and issuing a pressure relief prompt message to the electric pressure cooker when the pressure warning estimate is greater than or equal to a preset pressure warning estimate. The embodiment of the present application improves the safety of the electric pressure cooker by determining whether a pressure warning is needed based on the food status, reduces the probability of misjudgment, and ensures that the user can actively respond to high-pressure risks. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0018] Figure 1 A flowchart of a first cooking pressure warning method based on user safety behavior analysis provided in an embodiment of the present application;

[0019] Figure 2 A schematic diagram of the workflow of the first cooking pressure warning method based on user safety behavior analysis provided in an embodiment of the present application;

[0020] Figure 3 A flowchart of a second cooking pressure warning method based on user safety behavior analysis provided in an embodiment of the present application;

[0021] Figure 4 A flowchart of a third cooking pressure warning method based on user safety behavior analysis provided in an embodiment of the present application;

[0022] Figure 5 A flowchart of a fourth cooking pressure warning method based on user safety behavior analysis provided in an embodiment of the present application;

[0023] Figure 6 A schematic diagram of the logical structure of the first cooking pressure warning device based on user safety behavior analysis provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0025] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0026] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0027] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0028] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0029] Existing electric pressure cookers lack an intelligent mechanism for dynamic risk assessment and active pressure state protection based on user operation instructions and the physical properties of ingredients, making it difficult to effectively avoid safety risks caused by the characteristics of ingredients.

[0030] Based on the above reasons, an embodiment of the present application provides a cooking pressure warning method based on user safety behavior analysis, the method comprising: obtaining food characteristic data of the food cooked in the electric pressure cooker, obtaining historical pressure status information of the electric pressure cooker, and obtaining the user's current operation data on the electric pressure cooker; obtaining the food characteristic data and current food status information corresponding to the historical pressure status information through a food status monitoring database; determining the pressure warning valuation of the electric pressure cooker based on the historical pressure status information, the current food status information, and the current operation data through a food status monitoring model; and sending a pressure relief prompt message to the electric pressure cooker when the pressure warning valuation is greater than or equal to a preset pressure warning valuation. By determining whether a pressure warning of the electric pressure cooker is needed based on the food status, the embodiment of the present application improves the safety of the use of the electric pressure cooker, reduces the probability of misjudgment, and ensures that the user can actively respond in the event of a high-pressure risk.

[0031] In some scenarios, a cooking pressure warning method based on user safety behavior analysis in an embodiment of the present application can be applied to the pressure control of an electric pressure cooker. It can determine whether a pressure warning of the electric pressure cooker is needed based on the status of the food, thereby improving the safety of the electric pressure cooker when in use.

[0032] The following describes a cooking pressure warning method based on user safety behavior analysis provided by an embodiment of the present application in detail with reference to specific examples.

[0033] Figure 1 This is a flow chart of the first cooking pressure warning method based on user safety behavior analysis provided in the embodiment of the present application, as shown in FIG. Figure 1 As shown, the cooking pressure warning method based on user safety behavior analysis includes S110 to S120, and S110 to S120 are described in detail below.

[0034] S110: Acquire ingredient characteristic data of ingredients cooked by the electric pressure cooker, acquire historical pressure state information of the electric pressure cooker, and acquire current operation data of the user on the electric pressure cooker.

[0035] Figure 2 The flowchart of the first cooking pressure warning method based on user safety behavior analysis provided in the embodiment of the present application is as follows: Figure 2 As shown, in this implementation, when performing cooking pressure warning control of the electric pressure cooker, the food characteristic data of the cooked food can be obtained. The food characteristic data includes information such as the type of food, the weight of the food during cooking, the expansion amplitude of the food during cooking, and the viscosity change during cooking. The food characteristic data can then be used to determine the degree of influence of the food characteristic data on the pressure state of the electric pressure cooker.

[0036] In this implementation, the historical pressure status information of the electric pressure cooker can also be obtained. The historical pressure status information includes the historical information of the pressure change trend of the electric pressure cooker during the current cooking process. The subsequent impact on the ingredients can be judged based on the historical pressure status information, thereby improving the pressure control information for the electric pressure cooker state control.

[0037] In this implementation method, the user's current operation data on the electric pressure cooker can also be obtained. The current operation data involves the temperature parameters or time control parameters set by the user for the electric pressure cooker during the current cooking process. The subsequent pressure state of the electric pressure cooker can then be judged based on the current operation data, and the pressure control strategy of the electric pressure cooker can be adjusted subsequently.

[0038] like Figure 2 As shown, food characteristic data, historical pressure status information and current operation data can together form the basic elements of early warning monitoring to ensure comprehensive coverage of dynamic factors in the cooking process.

[0039] For example, when users are cooking beans, they can obtain the characteristic data of the ingredients in the electric pressure cooker through the control panel of the electric pressure cooker or the App bound to the electric pressure cooker, and obtain the historical pressure status information of the electric pressure cooker during the current cooking process. At the same time, they can obtain the manual operation data of the user adjusting the heating power and other working parameters of the electric pressure cooker in real time.

[0040] S120. Obtain current food status information corresponding to food characteristic data and historical pressure status information from a food status monitoring database. Determine a pressure warning estimate for the electric pressure cooker using a food status monitoring model based on the historical pressure status information, current food status information, and current operating data. When the pressure warning estimate is greater than or equal to a preset pressure warning estimate, a pressure relief warning message is issued to the electric pressure cooker.

[0041] In this implementation, the food status monitoring database can be used to obtain the corresponding current food status information based on the food characteristic data and historical pressure status information. The food status monitoring database stores pre-collected data mapping relationships and can convert food characteristic data and historical pressure status information into real-time status feedback, such as determining whether the food is in an easily expandable state.

[0042] For example, when cooking vegetables with high water content, the food status monitoring database can combine the food characteristic data and historical pressure status information in the current cooking record to output the softness and viscosity of the current food, thereby improving the accuracy and flexibility of judging the food status.

[0043] like Figure 2As shown, after obtaining the current food status information, the food status monitoring model can be used to calculate the pressure warning valuation of the electric pressure cooker based on the historical pressure status information, the current food status information and the current operation data. The food status monitoring model can integrate multi-dimensional data features and use a pre-trained model to predict the pressure warning valuation. When the pressure warning valuation indicates a high risk, a reliable warning signal can be generated. The pressure warning valuation represents the stability level of the current cooking environment.

[0044] For example, if the user frequently raises the temperature setting and historical data shows that similar operations lead to pressure out of control, the model will output a higher pressure warning estimate based on the current vegetable boiling state information, the soft and rotten state of the vegetables, the viscosity state and the user's operation change trend. The pressure warning estimate reflects the potential need for pressure relief. This calculation process ensures the timeliness and personalization of the warning response.

[0045] Exemplarily, the food status monitoring model can be a deep learning model based on a neural network, and the food status monitoring model can be trained through sample historical pressure status information, sample current food status information, sample current operation data and sample pressure warning valuation.

[0046] After obtaining the pressure warning valuation, when the pressure warning valuation is greater than or equal to the preset pressure warning valuation, a pressure relief prompt message can be issued to the electric pressure cooker. The preset pressure warning valuation is set based on safety standards and serves as the trigger limit. The pressure relief prompt reminds the user to intervene visually or auditorily to prevent safety hazards caused by high pressure.

[0047] For example, once the warning value exceeds the standard, the LCD screen of the electric pressure cooker will display the message "It is recommended to release the pressure immediately", and a sound will remind the user to check the pressure of the pot or release the pressure.

[0048] The beneficial effect brought about by the above implementation method is that the safety of using the electric pressure cooker is improved by judging whether a pressure warning of the electric pressure cooker is needed according to the state of the food; this warning method reduces the probability of misjudgment and ensures that users can actively respond under high pressure risks.

[0049] In some implementations, in the above-mentioned S120, the food status monitoring model is used to determine the pressure warning valuation of the electric pressure cooker based on historical pressure status information, current food status information and current operation data, including S121 to S122. S121 to S122 are described in detail below.

[0050] S121. Obtain historical pressure state information and target food state information corresponding to food characteristic data from a food state monitoring database. Determine the difference between the current food state information and the target food state information as a current food state offset value. Determine subsequent pressure state information of the electric pressure cooker based on the current pressure state information and current operation data using an electric pressure cooker state monitoring model. The historical pressure state information includes cooking stage information corresponding to the historical pressure state.

[0051] When performing pressure warning control on an electric pressure cooker, the target food status information corresponding to historical pressure status information and food characteristic data can be obtained through the food status monitoring database. The target food status information represents the state that the food should be in under ideal cooking conditions, such as expansion standard, moisture saturation level, softness and viscosity.

[0052] It should be noted that historical pressure state information includes cooking stage information corresponding to the historical pressure state. Specifically, this historical pressure state information can include data from previous high-pressure stable stages, enhancing the contextual relevance of the prediction. Furthermore, the historical pressure state of the current cooking process can be used to determine the corresponding target ingredient state information, and the target ingredient state information can then be used to determine the ingredient state.

[0053] For example, when a user cooks rice, a food with high water absorption, the food characteristic data includes the water absorption expansion coefficient and weight. The pressure holding stage information of historical similar cooking is called from the food status monitoring database, and the target food status information corresponding to the current rice food with high water absorption is output.

[0054] After obtaining the target food status information, the difference between the current food status information and the target food status information can be determined as the current food status offset value. The current food status offset value quantifies the degree of deviation between the actual state and the ideal standard, providing a basic indicator for subsequent risk analysis.

[0055] During subsequent pressure monitoring, the electric pressure cooker state monitoring model can be used to determine the subsequent pressure state information of the electric pressure cooker based on the current pressure state information and current operation data. The electric pressure cooker state monitoring model can combine the current pressure and the heating control data input by the user to deduce the future short-term pressure trend.

[0056] For example, if the current pressure information shows a stable high level and the user suddenly increases the heating power, the electric pressure cooker status monitoring model can predict the subsequent pressure status information within a few minutes based on the current pressure status information and current operation data, taking into account the dynamic changes in user operations to ensure timely response to the early warning.

[0057] Exemplarily, the electric pressure cooker state monitoring model may be a deep learning model based on a neural network, and the electric pressure cooker state monitoring model may be trained through sample current pressure state information, sample current operation data, and sample subsequent pressure state information.

[0058] S122: Determine the pressure warning estimate of the electric pressure cooker according to the subsequent pressure status information and the current food status offset value through the food status monitoring model.

[0059] In this implementation, the food status monitoring model can be used to determine the pressure warning valuation of the electric pressure cooker based on the subsequent pressure status information and the current food status offset value. The food status monitoring model can integrate the previous output, subsequent pressure status information and the current food status offset value as input parameters, and output the pressure warning valuation through weighted calculation. When the pressure warning valuation reaches or exceeds the limit, it can be used as a decision basis for the pressure relief prompt.

[0060] For example, in a scenario where the rice expansion offset value is small but the subsequent pressure prediction is high, the food status monitoring model calculates a medium- to high-risk warning estimate, and the system then guides the user to check the pressure relief valve to prevent overpressure hazards.

[0061] The beneficial effect brought about by the above implementation method is that by estimating the offset value of the food state, it is possible to comprehensively judge whether the electric pressure cooker will be affected by the change of the food state, avoiding the misjudgment problem caused by a single static indicator and improving the accuracy of the early warning analysis.

[0062] The beneficial effect brought about by the above-mentioned implementation method is that, based on the prediction of the subsequent pressure state information of the electric pressure cooker, it is possible to judge whether pressure relief is needed based on the dynamic trend, ensuring timely intervention and preventive control under high-pressure risks, and enhancing the safety and stability of the cooking process.

[0063] Figure 3 A flow chart of a second cooking pressure warning method based on user safety behavior analysis provided in an embodiment of the present application is shown as follows: Figure 3 As shown, the above method further includes S210 to S220, and S210 to S220 are described in detail below.

[0064] S210: Obtain the pressure relief valve aperture information of the electric pressure cooker and obtain the food particle size information from the food characteristic data. Using the food status monitoring model, determine a pressure relief status influencing factor based on the pressure relief valve aperture information, the food particle size information, and the current food status information. The food status information includes the food viscosity index and the food expansion index.

[0065] When performing pressure warning control of an electric pressure cooker, it is also possible to obtain the pressure relief valve aperture information of the electric pressure cooker and, at the same time, obtain the food particle size information in the food characteristic data. The pressure relief valve aperture information reflects the physical size characteristics of the pressure relief channel, and the food particle size information represents the particle size of the physical form of the food. The two together constitute the basic parameters that affect the pressure relief effect.

[0066] After obtaining the pressure relief valve aperture information and the food particle size information, the food status monitoring model can be used to comprehensively calculate the pressure relief state influencing factor based on the pressure relief valve aperture information, the food particle size information and the current food status information. The pressure relief state influencing factor represents the impact on the pressure relief process of the electric pressure cooker.

[0067] It should be noted that the current food status information includes the food viscosity index and food expansion index. These indicators dynamically reflect the changes in the physical properties of the food during the cooking process.

[0068] For example, when users are cooking root vegetables with high starch content, they obtain the particle size information of the ingredients and read the pressure relief valve design parameter database to obtain the pressure relief valve aperture information. In the current ingredient status information, the viscosity index shows the degree of starch gelatinization, and the expansion index reflects the water absorption and expansion state of the ingredients. The degree of influence on the pressure relief state of the electric pressure cooker can be determined by the pressure relief valve aperture information, the ingredient particle size information and the current ingredient status information.

[0069] In this implementation, the calculation process of the pressure relief state influencing factor comprehensively considers multiple risk factors. When the food viscosity index is high, the risk of blockage of the pressure relief channel may increase; when the food expansion index is large, the pressure relief space may be blocked; combined with the matching degree between the pressure relief valve aperture and the food particle size, the degree of impact on the pressure relief efficiency can be quantitatively evaluated.

[0070] It should be noted that the value range of the pressure relief state impact factor is greater than 1. The larger the value of the pressure relief state impact factor, the higher the risk of pressure relief obstruction.

[0071] For example, if it is detected that the particle size of the food is close to the aperture of the pressure relief valve and the viscosity index continues to rise, the model will output a larger pressure relief state impact factor, indicating that the pressure relief channel may be blocked. This situation is particularly obvious when cooking glutinous rice ingredients that are easy to gelatinize, and risk characteristics can be captured in advance.

[0072] S220: Determine the product of the pressure warning estimate and the pressure relief state influencing factor, and adjust the pressure warning estimate.

[0073] After determining the pressure relief state influencing factor, the product of the pressure warning valuation and the pressure relief state influencing factor can be calculated to achieve dynamic adjustment of the pressure warning valuation. This adjustment mechanism enables the warning value to be compensated for sensitivity according to the actual pressure relief conditions and trigger protective measures in advance.

[0074] For example, when the original pressure warning valuation is at the critical point, and the pressure relief state influencing factor increases to 1.1 due to high-viscosity food, the adjusted pressure warning valuation will be greater than the preset pressure warning valuation, thereby activating the pressure relief reminder function in advance.

[0075] The beneficial effect brought about by the above implementation method is that by monitoring the viscosity index and expansion index of the ingredients in the food state, the degree of their influence on the pressure relief state can be accurately evaluated, thereby avoiding the subsequent pressure relief failure in the electric pressure cooker due to the characteristics of the ingredients, thereby greatly improving the safety of pressure control.

[0076] The beneficial effect brought about by the above-mentioned implementation method is that, combined with the matching analysis of the pressure relief valve aperture and the particle size of the food, the pressure warning valuation is dynamically compensated and adjusted to ensure that the warning mechanism can respond to changes in actual working conditions in a timely manner, forming an intelligent protection mechanism for the characteristics of different foods, and enhancing the reliability of equipment operation.

[0077] Figure 4 A flowchart of a third cooking pressure warning method based on user safety behavior analysis provided in an embodiment of the present application is shown as follows: Figure 4 As shown, the above method further includes S310 to S320, and S310 to S320 are described in detail below.

[0078] S310: Obtain multiple historical cooking records of a user using an electric pressure cooker, obtain the user's operation delay time after the pressure relief prompt message is issued in each historical cooking record, and determine the average operation delay time corresponding to the multiple historical cooking records. Obtain the current pressure rise rate in the electric pressure cooker.

[0079] In this implementation, when performing pressure warning control of an electric pressure cooker, multiple historical cooking records of the user cooking with the electric pressure cooker can be obtained, and the operation delay time after the user receives the pressure relief prompt can be analyzed for each historical record. By counting the operation delay time values ​​in multiple historical records, the average operation delay time can be calculated, and the average operation delay time reflects the actual response efficiency of the user.

[0080] For example, the system automatically retrieves the last ten cooking records, records the time difference between each time the user receives the screen prompt and manually confirms the pressure release, and calculates the average of these time differences through the statistical module to form the average operation delay time.

[0081] At the same time, the changing trend of the internal pressure of the electric pressure cooker can be monitored in real time to obtain the current pressure rising rate, which represents the urgency of the pressure increase.

[0082] For example, a pressure rise rate of 0.5 atmospheres per minute in an electric pressure cooker can be detected by a pressure sensor.

[0083] S320: Determine a pre-pressure release probability value based on the current pressure rise rate, the food viscosity index, and the average of the operation delay time using a pre-pressure release control model. When the pre-pressure release probability value is greater than or equal to a preset pre-pressure release probability value, control the electric pressure cooker to perform pre-pressure release.

[0084] After obtaining the current pressure rise rate, food viscosity index and average operation delay time, the pre-pressure relief control model can be used to comprehensively analyze the three parameters of the current pressure rise rate, food viscosity index and average operation delay time for risk prediction. The pre-pressure relief control model uses a weighted algorithm to integrate and analyze the three factors: when the pressure rises quickly, the food viscosity is high and the average user response is slow, the pre-pressure relief control model will output a higher pre-pressure relief probability value. The preset pre-pressure relief probability value is used as a safety baseline to trigger subsequent control actions.

[0085] For example, when it is monitored that the current pressure rises by 0.6 atmospheres per minute, the food viscosity index reaches the high viscosity range, and the user's historical average response time exceeds 15 seconds, the pre-pressure relief control model may calculate a probability value of 0.85.

[0086] Exemplarily, the pre-pressure relief control model may be a support vector machine model, and the pre-pressure relief control model may determine the pre-pressure relief probability value by comprehensively considering the current pressure rise rate, the food viscosity index, and the average of the operation delay time.

[0087] In this implementation, when the pre-pressure relief probability value reaches or exceeds the preset pre-pressure relief probability value, the pre-pressure relief mechanism can be automatically triggered. The pre-pressure relief mechanism adopts a graded pressure relief control logic, first releasing a small amount of steam to alleviate the pressure trend. If the pressure continues to be abnormal, it will be upgraded to a complete pressure relief procedure.

[0088] For example, when the pre-pressure relief probability value reaches 0.9 (the preset threshold is 0.8), the controller will open the pressure relief valve 5% for 10 seconds to stabilize the pressure in the pot within a safe range.

[0089] The beneficial effect of the above implementation method is that, through statistical analysis of the user's historical operation delay time, the early warning control strategy can be optimized in combination with the characteristics of individual operation habits. This personalized adaptation mechanism is particularly suitable for user groups with slow response speed.

[0090] The beneficial effect brought about by the above implementation method is that the pre-pressure relief decision is made by combining the dynamic pressure change rate and the viscosity characteristics of the food, and the feedforward control of the pressure rising trend is realized. This active intervention before the pressure danger value is formed significantly reduces the occurrence rate of overpressure accidents.

[0091] In some implementations, the above method further includes S330 to S340, and S330 to S340 are described in detail below.

[0092] S330: When cooking with an electric pressure cooker, obtain the user's real-time operation delay time after the electric pressure cooker issues a pressure relief prompt message.

[0093] When performing pressure warning control on an electric pressure cooker, the user's operational response can be monitored in real time after the pressure relief prompt message is issued. The electric pressure cooker can automatically record the cumulative interval time from the triggering of the prompt message to the user's actual operation as the real-time operation delay time; the real-time operation delay time can dynamically reflect the current user's response status to the warning, providing a real-time basis for safety intervention.

[0094] For example, when the "Please release pressure immediately" warning pops up on the display screen, the built-in timer starts recording time synchronously. If the user performs other operations next to the pressure cooker or has not taken any pressure relief operations, the system will continue tracking until it detects the user touching the pressure relief button or knob or the total accumulated time without pressure relief. The time difference recorded at this time is the real-time operation delay time, which is automatically completed by the pressure cooker control module.

[0095] S340: When the real-time operation delay time is greater than or equal to the average value of the operation delay time of the preset ratio, the electric pressure cooker is controlled to perform pre-pressure release and then enter the pressure holding mode.

[0096] In this implementation, the control system of the electric pressure cooker may retain the average value of the operation delay time calculated historically as a benchmark reference value.

[0097] When it is detected that the real-time operation delay time is greater than or equal to the average operation delay time of the preset ratio, the preset ratio is based on a safety redundancy design, for example, it is set to a threshold of 1.5 times the historical average; when this threshold is reached, it is judged as a high-risk response delay, and the dual protection mechanism of pre-pressure relief control and mode switching is executed.

[0098] For example, if the user's historical average response time is 10 seconds and the preset multiplier is 1.8 times the threshold, the automatic protection program will be triggered when the actual delay time reaches 18 seconds and no operation is performed.

[0099] In the pressure-maintaining mode, the control program first starts the pre-pressure relief operation, releasing an appropriate amount of steam through the solenoid valve to return the pressure to the safe zone. After completing the pre-pressure relief, the system automatically switches the operating mode to the pressure-maintaining state. The pressure-maintaining mode maintains a constant sub-safety pressure operation, which not only avoids cooking interruptions but also prevents the risk of continuous pressure increase.

[0100] For example, after executing 2 seconds of intelligent pressure relief, the pressure in the pot drops from the dangerous value to below the safety threshold. At this time, the control unit automatically switches the heating power to stabilize the pot at a pressure maintenance level of 100kPa.

[0101] The beneficial effect of the above implementation method is that by monitoring the user response delay in real time, the protection mechanism is automatically triggered when the safety threshold is exceeded. This design effectively avoids the risk of operation delays caused by the user's temporary departure or distraction.

[0102] The beneficial effect brought about by the above implementation method is that the dual-stage control strategy of pre-pressure relief and pressure maintenance mode conversion can quickly eliminate the overpressure risk and maintain the basic cooking process. This mechanism maintains the continuity of cooking to the greatest extent while ensuring safety, and is particularly suitable for use scenarios where you need to temporarily leave the kitchen.

[0103] In some implementations, the above method further includes S350 to S360, and S350 to S360 are described in detail below.

[0104] S350: Obtain the user's operation delay time after the pressure relief prompt information is issued in each historical cooking record, and determine the number of times the operation delay time corresponding to multiple historical cooking records is greater than the preset operation delay time as the user's pressure relief alarm ignoring times.

[0105] When performing intelligent pressure management of the electric pressure cooker, the user's historical cooking records can be collected, and the user's operation delay time can be recorded for each pressure relief prompt event, and the operation delay time can be compared with the preset operation delay time. The number of times the operation delay time is greater than the preset operation delay time can be counted, and the number of times the operation delay time is greater than the preset operation delay time is defined as the number of times the user's pressure relief alarm is ignored. The number of times the pressure relief alarm is ignored can objectively reflect the user's degree of attention to safety warnings and provide a quantitative basis for system parameter adjustment.

[0106] For example, the system can automatically analyze the user operation records after the pressure relief prompt is triggered during the last 20 cooking operations. When the preset operation delay time is set to 12 seconds, if a user's response time exceeds the threshold six times, the number of times the pressure relief alarm is ignored will be recorded as six times.

[0107] S360: When the number of times the pressure relief alarm is ignored is greater than or equal to the preset number of times the pressure relief alarm is ignored, reduce the preset pressure warning estimate value according to a preset ratio. When the number of times the pressure relief alarm is ignored is less than the preset number of times the pressure relief alarm is ignored, increase the preset pressure warning estimate value according to a preset ratio.

[0108] When the number of times the pressure relief alarm is ignored reaches or exceeds the preset ignore number threshold, the preset pressure warning valuation can be dynamically reduced according to the preset ratio. This adjustment mechanism makes the warning trigger more sensitive and activates the safety mechanism in advance when the user's response habits are poor.

[0109] On the contrary, when the number of times the pressure relief alarm is ignored is lower than the preset pressure warning estimate, the preset pressure warning estimate is increased according to a preset ratio, thereby providing a more relaxed operation window for users who respond in time.

[0110] For example, the preset ignoring threshold is 5 times, and the preset ratio is 0.9 times. When the user actually ignores it 7 times, the preset pressure warning valuation of 120kPa can be adjusted to 108kPa according to the preset ratio.

[0111] For another example, if the pressure relief alarm is ignored only three times, the preset pressure warning estimate of 120 kPa can be adjusted to 128 kPa according to a preset ratio.

[0112] The beneficial effect of the above implementation method is that it automatically optimizes the warning sensitivity according to the user's historical response characteristics. For users who often ignore alarms, earlier safety intervention can be achieved by lowering the warning threshold, greatly improving the timeliness of pressure anomaly monitoring.

[0113] The beneficial effect brought about by the above implementation method is that for users who respond promptly, the operation time limit is appropriately relaxed by increasing the preset pressure warning valuation. This personalized adaptation mechanism avoids excessive intervention while ensuring the reliability of safety control, enabling the warning system to intelligently distinguish the operating habits of different users.

[0114] In some implementations, in the above S360, the method further includes: obtaining food characteristic data of the food cooked in the electric pressure cooker, and determining a preset ratio for adjusting the preset pressure warning estimate according to the food characteristic data.

[0115] When optimizing the pressure warning of an electric pressure cooker, the food characteristic data of the food cooked in the electric pressure cooker can be obtained, and the preset ratio for adjusting the preset pressure warning valuation can be determined based on these data. The preset ratio represents a reference coefficient for adjusting the pressure warning valuation, ensuring that the warning system can flexibly adjust its sensitivity according to the characteristics of different ingredients.

[0116] Illustratively, the food characteristic data includes but is not limited to food type, particle size, and viscosity information, which are obtained through user input to ensure the adaptability of the early warning mechanism.

[0117] For example, when the food characteristic data indicates that the food is a high-expandability food, the preset ratio is set lower to reduce the adjustment range; conversely, for low-risk food, a higher ratio is set to increase the adjustment range.

[0118] The beneficial effect brought about by the above implementation method is that the preset ratio of the preset pressure warning valuation adjustment is determined according to the food characteristic data, the pressure warning sensitivity can be intelligently adjusted according to the food characteristics, and the warning response capability when the electric pressure cooker is used is improved.

[0119] The beneficial effect brought about by the above-mentioned implementation method is that, through the ratio adjustment driven by the characteristics of the food ingredients, the flexibility and accuracy of the pressure warning system are optimized, thereby enhancing the overall safety protection performance.

[0120] Figure 5 A flowchart of a fourth cooking pressure warning method based on user safety behavior analysis provided in an embodiment of the present application is shown as follows: Figure 5 As shown, the above method further includes S410 to S420, and S410 to S420 are described in detail below.

[0121] S410: When the user has multiple operation data on the electric pressure cooker in time sequence, obtain pressure warning estimation values ​​corresponding to the multiple operation data on the electric pressure cooker in time sequence.

[0122] When performing pressure warning control on an electric pressure cooker, when the user has multiple operation data on the electric pressure cooker in a time sequence, that is, during the user's continuous operation process, multiple pressure warning valuations are obtained in the time series. The electric pressure cooker can automatically record the pressure warning valuation corresponding to each operation time point to form time axis data of the pressure change trend.

[0123] For example, the multiple operation data in time sequence may include user operation data such as adjusting heating time, adjusting heating temperature, etc.

[0124] S420. When the first pressure warning valuation is greater than or equal to the preset pressure warning valuation, the second pressure warning valuation that follows the first pressure warning valuation in time sequence is greater than or equal to the preset pressure warning valuation, and after the electric pressure cooker does not perform pressure relief after issuing a corresponding first pressure relief prompt message for the first pressure warning valuation, a pressure relief prompt message is issued to the electric pressure cooker, and the forced pressure relief program of the electric pressure cooker is started.

[0125] During the operation of the electric pressure cooker, when the first pressure warning valuation is greater than or equal to the preset pressure warning valuation, and the second pressure warning valuation subsequent to the first pressure warning valuation in time sequence is greater than or equal to the preset pressure warning valuation, that is, when it is detected that two adjacent pressure warning valuations in time sequence both exceed the preset pressure warning valuation, and the first pressure relief prompt is not responded to, a pressure relief prompt message can be issued to the electric pressure cooker, and the forced pressure relief program of the electric pressure cooker can be started to improve the safety control level of the electric pressure cooker.

[0126] For example, after the user adjusts the heating power during the cooking process, the system records that the pressure warning valuation reaches 125kPa (the preset threshold is 120kPa) at 10:05, triggering the first pressure relief prompt. If no pressure relief operation is detected at 10:08, the system records that the valuation has risen to 128kPa. That is, when it is detected that two adjacent pressure warning valuations in the time sequence exceed the working records of the preset pressure warning valuation, and the user has not performed pressure relief on the electric pressure cooker, a pressure relief prompt message is issued to the electric pressure cooker, and the forced pressure relief program of the electric pressure cooker is started. Specifically, a 30-second forced exhaust program can be executed.

[0127] For example, after forced pressure relief is initiated, full-opening pressure relief can be performed in the first 10 seconds to quickly reduce the pressure to 110 kPa, and then the intermittent pressure relief mode is adjusted to maintain a safe pressure level.

[0128] The beneficial effect of the above implementation method is that through the time series analysis of continuous pressure warning valuation, the risk state of continuous abnormal pressure can be accurately captured. This dynamic monitoring mechanism avoids the misjudgment or omission problems that may exist in a single warning.

[0129] The beneficial effect of the above implementation method is that the forced pressure relief procedure is promptly initiated after the first warning fails, forming a complete safety protection closed loop. This mechanism effectively eliminates the danger of continuous high pressure caused by user negligence and significantly improves the self-protection ability of the equipment under extreme working conditions.

[0130] In some implementations, the method further includes: reducing heating power according to a first ratio when the electric pressure cooker releases pressure according to the first pressure warning estimate. Reducing heating power according to a second ratio when the electric pressure cooker releases pressure according to the second pressure warning estimate. The first ratio is proportional to the first pressure warning estimate, and the second ratio is proportional to the sum of the first and second pressure warning estimates.

[0131] When performing coordinated pressure control of an electric pressure cooker, the heating power can be adjusted synchronously when the pressure relief operation is triggered. When the system performs pressure relief based on the first pressure warning valuation, the heating power can be reduced according to a first proportional coefficient that is proportional to the first pressure warning valuation; then, if the pressure is relieved again based on the subsequent second pressure warning valuation in the time series, a greater degree of power reduction can be implemented according to a second proportional coefficient that is proportional to the sum of the first pressure warning valuation and the second pressure warning valuation. This hierarchical adjustment mechanism can ensure that the power reduction range is dynamically matched with the risk level.

[0132] For example, when it is detected that the first pressure warning valuation reaches 130kPa (preset threshold 120kPa), the control module calculates the first proportional coefficient as 0.85, and adjusts the original 1000W power to 850W to perform pressure relief. Specifically, precise control can be achieved through the power regulation circuit.

[0133] In the scenario of continuous pressure anomalies, the system can enhance intervention strength based on the cumulative effect of the two warning values. For example, if the second pressure warning estimate rises to 135kPa after the initial pressure relief, the second proportional coefficient is calculated as 0.7 based on the sum of 130+135=265kPa, and the power is further reduced to 595W.

[0134] The beneficial effect brought about by the above implementation method is that the heating power is simultaneously reduced during pressure relief to form a dual protection mechanism, effectively blocking the energy source of the continuous pressure increase; the dynamic proportional coefficient is used to achieve risk-graded response, and the power reduction efforts are enhanced for continuous warning scenarios, which significantly improves the safety control capabilities of the electric pressure cooker under repeated abnormal working conditions.

[0135] An embodiment of the present application also provides a cooking pressure warning device based on user safety behavior analysis, including a unit for executing any of the methods described above.

[0136] Figure 6 This is a logical structure diagram of the first cooking pressure warning device based on user safety behavior analysis provided in an embodiment of the present application, such as Figure 6 As shown, the device 1 of this embodiment includes a processing unit 11, a storage unit 12, and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to send and receive data. The processing unit 11, the storage unit 12, and the transceiver unit 13 cooperate with each other to implement the above method. The beneficial effects of the embodiment of the present application have been described in the above method and will not be repeated here.

[0137] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0138] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0139] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the process of the above-mentioned method embodiment by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can at least include: any entity or device capable of carrying computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, mobile hard drive, magnetic disk, or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals or telecommunication signals.

[0140] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0141] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0142] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0143] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0144] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. 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 application, and should all be included in the scope of protection of the present application.

Claims

1. A cooking pressure warning method based on user safety behavior analysis, characterized in that: The method comprises: Obtaining food characteristic data of the food cooked by the electric pressure cooker, obtaining historical pressure status information of the electric pressure cooker, and obtaining current operation data of the user on the electric pressure cooker; Through the food status monitoring database, the current food status information corresponding to the food characteristic data and historical pressure status information is obtained; through the food status monitoring model, the pressure warning valuation of the electric pressure cooker is determined based on the historical pressure status information, the current food status information and the current operation data; when the pressure warning valuation is greater than or equal to the preset pressure warning valuation, a pressure relief prompt message is issued to the electric pressure cooker.

2. The method according to claim 1, wherein The food status monitoring model determines the pressure warning estimate of the electric pressure cooker based on historical pressure status information, current food status information, and current operation data, including: Obtaining historical pressure state information and target food state information corresponding to food characteristic data from a food state monitoring database; determining a difference between current food state information and target food state information as a current food state offset value; and determining subsequent pressure state information of the electric pressure cooker based on the current pressure state information and current operation data using an electric pressure cooker state monitoring model; wherein the historical pressure state information includes cooking stage information corresponding to the historical pressure state; Through the food status monitoring model, the pressure warning estimation of the electric pressure cooker is determined according to the subsequent pressure status information and the current food status offset value.

3. The method according to claim 2, wherein The method further comprises: Obtaining the pressure relief valve aperture information of the electric pressure cooker and the food particle size information from the food characteristic data; determining the pressure relief state influencing factor based on the pressure relief valve aperture information, food particle size information, and current food state information through the food state monitoring model; wherein the food state information includes the food viscosity index and the food expansion index; The product of the pressure warning estimate and the pressure relief state influencing factor is determined, and the pressure warning estimate is adjusted.

4. The method according to claim 3, wherein The method further comprises: Obtain multiple historical cooking records of a user cooking in an electric pressure cooker, obtain the user's operation delay time after the pressure relief prompt message is issued in each historical cooking record, and determine the average operation delay time corresponding to the multiple historical cooking records; obtain the current pressure rise rate in the electric pressure cooker; Through the pre-pressure relief control model, the pre-pressure relief probability value is determined according to the current pressure rise rate, the food viscosity index and the average of the operation delay time; when the pre-pressure relief probability value is greater than or equal to the preset pre-pressure relief probability value, the electric pressure cooker is controlled to perform pre-pressure relief.

5. The method according to claim 4, wherein The method further comprises: When cooking with an electric pressure cooker, obtain the user's real-time operation delay time after the electric pressure cooker issues a pressure relief prompt; When the real-time operation delay time is greater than or equal to the average operation delay time of the preset ratio, the electric pressure cooker is controlled to perform pre-pressure release and then enter the pressure holding mode.

6. The method according to claim 5, wherein The method further comprises: Obtain the user's operation delay time after the pressure relief prompt information is issued in each historical cooking record, and determine the number of times the operation delay time corresponding to multiple historical cooking records is greater than the preset operation delay time, as the user's pressure relief alarm ignoring number; When the number of times the pressure relief alarm is ignored is greater than or equal to the preset number of times the pressure relief alarm is ignored, the preset pressure warning estimate is reduced according to the preset ratio; when the number of times the pressure relief alarm is ignored is less than the preset number of times the pressure relief alarm is ignored, the preset pressure warning estimate is increased according to the preset ratio.

7. The method according to claim 7, wherein: The method further comprises: The food characteristic data of the food to be cooked by the electric pressure cooker is obtained, and a preset ratio for adjusting the preset pressure warning valuation and the preset operation delay time is determined according to the food characteristic data.

8. The method according to claim 7, wherein The method further comprises: When the user has multiple operation data on the electric pressure cooker in a time sequence, the pressure warning estimation values ​​corresponding to the multiple operation data on the electric pressure cooker in a time sequence are obtained; When the first pressure warning valuation is greater than or equal to the preset pressure warning valuation, the second pressure warning valuation that follows the first pressure warning valuation in time sequence is greater than or equal to the preset pressure warning valuation, and after the electric pressure cooker does not perform pressure relief after issuing a corresponding first pressure relief prompt message for the first pressure warning valuation, a pressure relief prompt message is issued to the electric pressure cooker, and the forced pressure relief program of the electric pressure cooker is started.

9. The method according to claim 8, wherein The method further comprises: When the electric pressure cooker releases pressure according to the first pressure warning valuation, the heating power is reduced according to the first ratio; when the electric pressure cooker releases pressure according to the second pressure warning valuation, the heating power is reduced according to the second ratio; wherein the first ratio is proportional to the first pressure warning valuation, and the second ratio is proportional to the sum of the first pressure warning valuation and the second pressure warning valuation.

10. A cooking pressure warning device based on user safety behavior analysis, characterized in that: Comprising means for performing the method according to any one of claims 1 to 9.

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