Oil quantity early warning method and device of range hood, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses an oil quantity early warning method and device of a range hood, electronic equipment and a storage medium, and the oil quantity early warning method of the range hood comprises the steps that the rated oil smoke capacity and specification information of an oil box are determined; obtaining cooking data in the current cooking fume accumulation period, and estimating the current accumulated cooking fume and the daily average cooking fume accumulation amount of the oil box based on the cooking data; on the basis of the specification information, the daily average oil fume cumulant and the current cumulant oil fume, pre-estimating the early warning time when the oil fume in the oil box reaches the rated oil fume capacity; when the current time reaches the early warning time, early warning information is generated, and the early warning information is sent to the associated equipment, so that the associated equipment performs early warning reminding based on the early warning information, the accuracy and convenience of timely cleaning the oil box by a user are improved, the kitchen sanitation and the performance of the range hood are favorably maintained, and the user experience is improved. And potential health and safety risks caused by oil smoke overflow are reduced.

Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, and in particular to an oil level warning method, device, electronic device and storage medium for a range hood. Background Art

[0002] In traditional kitchen environments, the use of range hoods has greatly improved the problem of oil fume generated during cooking, providing users with a healthier cooking experience. However, the cleaning and maintenance of the range hood oil box has always been a difficult problem for users. Due to the continuous generation and accumulation of oil fume, users need to regularly check the amount of oil fume in the oil box and clean it when it is full to prevent oil fume overflow and maintain the effective operation of the range hood. This process is not only time-consuming and labor-intensive, but is often ignored due to user negligence or busyness, resulting in oil box overflow, pollution of the kitchen environment and degradation of range hood performance. It lacks accuracy and convenience, and is difficult to meet the needs of users for efficient and intelligent kitchen appliances under the rhythm of modern life. Summary of the invention

[0003] The present application provides an oil level warning method, device, equipment and storage medium for a range hood, which can improve the accuracy and convenience of timely processing of the oil level in the oil box of the range hood, help users save maintenance time and energy, improve the intelligence level of kitchen appliances, and meet the pursuit of modern families for efficient and convenient kitchen life.

[0004] In a first aspect, the present application provides an oil level warning method for a range hood, comprising:

[0005] Determine the rated oil fume capacity and specification information of the oil box;

[0006] Acquire cooking data in a current oil fume accumulation period, and estimate the current accumulated oil fume and the average daily accumulated oil fume amount of the oil box based on the cooking data;

[0007] estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the daily average oil fume accumulation amount and the current accumulated oil fume;

[0008] When the current time reaches the warning time, warning information is generated, and the warning information is sent to the associated device, so that the associated device performs a warning reminder based on the warning information.

[0009] In a second aspect, the present application provides an oil level warning device for a range hood, comprising:

[0010] A determination module, used to determine the rated oil fume capacity and specification information of the oil box;

[0011] An acquisition module, used for acquiring cooking data in a current oil fume accumulation period, and estimating the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data;

[0012] An estimation module, used for estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the daily average oil fume accumulation amount and the current accumulated oil fume;

[0013] The generating module is used to generate warning information when the current time reaches the warning time, and send the warning information to the associated device, so that the associated device performs a warning reminder based on the warning information.

[0014] Optionally, in some embodiments of the present application, the acquisition module includes:

[0015] An analysis submodule, configured to perform a cooking habit analysis on the cooking data in the current oil smoke accumulation period to obtain the cooking frequency, cooking type and duration of each cooking of each cooking ingredient;

[0016] The first estimation submodule is used to estimate the current accumulated oil smoke based on the cooking frequency, the cooking type and the duration of each cooking of each cooking ingredient.

[0017] Optionally, in some embodiments of the present application, the first estimation submodule includes:

[0018] A first estimating unit, configured to estimate the amount of cooking fume of each cooking ingredient based on the cooking type of each cooking ingredient and the duration of each cooking;

[0019] The second estimating unit is used to estimate the current accumulated oil fume based on the amount of cooking oil fume of each of the cooking ingredients and the cooking frequency.

[0020] Optionally, in some embodiments of the present application, the second estimating unit is specifically configured to:

[0021] Obtaining a smoke concentration variation curve corresponding to the cooking type corresponding to the cooking ingredient;

[0022] The cooking fume amount of each cooking ingredient is estimated based on the cooking type of the cooking ingredient, the duration of each cooking and the fume concentration variation curve.

[0023] Optionally, in some embodiments of the present application, the estimation module includes:

[0024] A determination submodule, configured to determine a current oil fume capacity based on the specification information of the oil box and the current accumulated oil fume;

[0025] A calculation submodule, used for calculating the capacity difference between the current oil fume capacity and the rated oil fume capacity;

[0026] The second estimation submodule is used to estimate the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the capacity difference and the daily average oil fume accumulation amount.

[0027] Optionally, in some embodiments of the present application, the second estimation submodule includes:

[0028] An acquisition unit, used for acquiring cooking environment factors;

[0029] an adjusting unit, configured to adjust the capacity difference based on the cooking environment factors;

[0030] The third estimating unit is used to estimate the warning time when the oil smoke of the oil box reaches a set oil smoke capacity based on the adjusted capacity difference and the daily average oil smoke accumulation.

[0031] Optionally, in some embodiments of the present application, the warning time includes an early warning time, a mid-term warning time, and a full warning time, and the generating module includes:

[0032] A first generating submodule, configured to generate first warning information if the current time reaches the early warning time;

[0033] A second generating submodule, configured to generate a second warning message if the current time reaches the mid-term warning time;

[0034] The third generating submodule is used to generate third warning information if the current time reaches the full-occupancy warning time.

[0035] In a third aspect, the present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the program.

[0036] In a fourth aspect, the present application further provides a storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0037] As described above, the present application provides an oil quantity warning method, device, range hood, and storage medium for a range hood, by determining the rated oil fume capacity and specification information of the oil box; obtaining cooking data within the current oil fume accumulation cycle, and estimating the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data; estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the average daily accumulated oil fume, and the current accumulated oil fume; when the current time reaches the warning time, generating warning information, and sending the warning information to an associated device, so that the associated device issues a warning reminder based on the warning information. In the oil quantity warning scheme for the range hood provided in the present application, the current accumulated oil fume and the average daily accumulated oil fume of the oil box can be estimated based on the cooking data within the current oil fume accumulation cycle, and the warning time when the oil fume of the oil box reaches the rated oil fume capacity can be estimated based on the specification information, the average daily accumulated oil fume, and the current accumulated oil fume; and a warning is issued when the current time reaches the warning time. It can be seen that this solution can automatically generate warning information based on the specification information, the average daily accumulated oil fume volume and the current accumulated oil fume when the oil box is about to reach the rated oil fume capacity, and send this information to the user's associated device to warn the user, ensuring that the user can receive a warning in time even when he is busy or not in the kitchen, so as to deal with the oil box cleaning problem in time. It not only improves the accuracy and convenience of users' timely cleaning of the oil box, but also helps to maintain kitchen hygiene and the performance of the range hood, and reduces potential health and safety risks caused by oil fume overflow. Therefore, this solution improves the accuracy and convenience of timely handling of the oil volume in the oil box of the range hood, helps users save maintenance time and energy, improves the intelligence level of kitchen appliances, and meets the pursuit of modern families for efficient and convenient kitchen life. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 It is a scene schematic diagram of the oil level warning method for the range hood provided in the embodiment of the present application;

[0040] Figure 2 It is a flow chart of the oil level warning method for the range hood provided by the embodiment of the present application;

[0041] Figure 3 It is a structural schematic diagram of the oil level warning device of the range hood provided in the embodiment of the present application;

[0042] Figure 4It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0044] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0046] The present application provides an oil level warning method, device, electronic device and storage medium for a range hood.

[0047] The oil quantity warning device of the range hood can be specifically integrated in an electronic device, which can be a smart phone, a tablet computer, a laptop or a desktop computer, but is not limited thereto. The electronic device can be directly or indirectly connected to the server through wired or wireless communication. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. This application does not limit this.

[0048] For example, see Figure 1The oil volume warning device of the range hood is integrated on the electronic device 30. The display screen of the electronic device 30 can display the rated oil fume capacity, specification information, current time, warning time and warning information of the oil box. Moreover, the cooking object 40 can interact with the electronic device 30 by touching the display screen of the electronic device 30, such as inputting the rated oil fume capacity and specification information of the oil box. In the process of the oil volume warning of the range hood, the electronic device 30 and the fully embedded range hood 10 can interact through the network 20. The electronic device 30 determines the rated oil fume capacity and specification information of the oil box; obtains the cooking data in the current oil fume accumulation cycle, and estimates the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data; estimates the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume; generates warning information when the current time reaches the warning time, and sends the warning information to the associated device, so that the associated device issues a warning reminder based on the warning information.

[0049] The oil quantity warning method for the range hood provided in the present application can determine the rated oil fume capacity and specification information of the oil box; obtain cooking data within the current oil fume accumulation cycle, and estimate the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data; estimate the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume; when the warning time is reached at the current time, generate warning information, and send the warning information to the associated device, so that the associated device makes a warning reminder based on the warning information. In the oil quantity warning scheme for the range hood provided in the present application, the current accumulated oil fume and the average daily accumulated oil fume of the oil box can be estimated based on the cooking data within the current oil fume accumulation cycle, and the warning time when the oil fume of the oil box reaches the rated oil fume capacity can be estimated based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume; and a warning is made when the warning time is reached at the current time. It can be seen that this solution can automatically generate warning information based on the specification information, the average daily accumulated oil fume volume and the current accumulated oil fume when the oil box is about to reach the rated oil fume capacity, and send this information to the user's associated device to warn the user, ensuring that the user can receive a warning in time even when he is busy or not in the kitchen, so as to deal with the oil box cleaning problem in time. It not only improves the accuracy and convenience of users' timely cleaning of the oil box, but also helps to maintain kitchen hygiene and the performance of the range hood, and reduces potential health and safety risks caused by oil fume overflow. Therefore, this solution improves the accuracy and convenience of timely handling of the oil volume in the oil box of the range hood, helps users save maintenance time and energy, improves the intelligence level of kitchen appliances, and meets the pursuit of modern families for efficient and convenient kitchen life.

[0050] It should be noted that the order of description of the following embodiments is not intended to limit the priority order of the embodiments.

[0051] A method for early warning of oil volume of a range hood includes: determining the rated oil fume capacity and specification information of an oil box;

[0052] Acquire cooking data within a current oil fume accumulation cycle, and estimate the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data; estimate the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume; generate warning information when the warning time is reached at the current time, and send the warning information to an associated device, so that the associated device issues a warning reminder based on the warning information.

[0053] See also Figure 2 , Figure 2 The flowchart of the oil quantity early warning method for the range hood provided in this application is as follows:

[0054] 101: Determine the rated oil fume capacity and specification information of the oil box.

[0055] The rated fume capacity refers to the maximum safe storage volume of the oil box of the range hood. The specification information may include the design dimensions of the oil box, such as length, width and height. The rated fume capacity may be a volume calculated based on the design dimensions (length, width, height) of the oil box, which is usually determined by the manufacturer through engineering calculations and testing.

[0056] Enter the rated oil fume capacity and specification information of the oil box into the control system of the range hood or the smart home device associated therewith. Provide an input option on the user interface provided by the control system of the range hood or the smart home device associated therewith, allowing the user to manually input the specification information and rated oil fume capacity of the oil box to accommodate different models or customized oil boxes, so that the rated oil fume capacity and specification information of the oil box can be determined.

[0057] 102: Obtain cooking data in a current oil fume accumulation period, and estimate the current accumulated oil fume and the average daily accumulated oil fume amount of the oil box based on the cooking data.

[0058] The current oil smoke accumulation period may be a period set by the user according to his or her cooking habits.

[0059] For example, if the user's oil box is full in one month, the oil smoke monitoring sensor can collect the oil smoke accumulation data within one month (such as 10 days, 15 days, etc.), that is, the current accumulated oil smoke, as cooking data. Then, the average daily oil smoke accumulation amount is calculated based on the accumulation time of the current accumulated oil smoke (such as 10 days, 15 days, etc.) and the current accumulated oil smoke.

[0060] In one embodiment, the estimating the current accumulated oil smoke of the oil box based on the cooking data includes:

[0061] Performing a cooking habit analysis on the cooking data in the current oil smoke accumulation period to obtain the cooking frequency, cooking type and duration of each cooking of each cooking ingredient;

[0062] The current accumulated oil smoke is estimated based on the cooking frequency, the cooking type, and the duration of each cooking of each cooking ingredient.

[0063] The cooking data includes the cooking menu within the current oil smoke accumulation cycle and the duration of each cooking of each cooking ingredient in the cooking menu.

[0064] A machine learning algorithm, such as a decision tree, a random forest, or a neural network can be used to analyze the cooking data to obtain the cooking frequency, cooking type, and duration of each cooking of the cooking ingredients; then, the cooking frequency, cooking type, and duration of each cooking of each cooking ingredient are input into a pre-trained oil fume estimation model (such as a neural network) for prediction to obtain an estimated oil fume amount of each ingredient; the estimated oil fume amounts of all ingredients are accumulated to obtain the total current accumulated oil fume amount.

[0065] In this embodiment, by analyzing the cooking data within the current oil fume accumulation cycle, the user's cooking habits can be deeply understood, including the cooking frequency of each ingredient, the cooking type, and the duration of each cooking. Taking into account the impact of different cooking methods and ingredients on the amount of oil fume generated, the current amount of oil fume accumulation can be accurately estimated. In addition, it is also helpful to help users optimize their cooking habits and reduce cooking methods that produce high oil fume, thereby reducing oil fume accumulation and reducing the burden on the range hood and kitchen environment, which not only improves the hygiene and safety of the kitchen, but also provides users with a healthier and more energy-saving cooking environment, while also extending the service life of the range hood.

[0066] In one embodiment, the estimating the current accumulated oil smoke based on the cooking frequency, the cooking type and the duration of each cooking of each cooking ingredient includes:

[0067] estimating the amount of cooking fume of each cooking ingredient based on the cooking type of each cooking ingredient and the duration of each cooking;

[0068] The current accumulated oil fume is estimated based on the amount of cooking oil fume of each of the cooking ingredients and the cooking frequency.

[0069] For example, the current accumulated oil smoke of one week in the current oil smoke accumulation cycle, the cooking ingredients include Monday: beef fried with green pepper (10 minutes); Wednesday: steamed fish (15 minutes); Friday: scrambled eggs (8 minutes), and it is queried from the preset database that the oil smoke generated by fried beef is 0.05 liters / minute, fried green pepper is 0.03 liters / minute, steamed fish is 0.02 liters / minute, and scrambled eggs is 0.04 liters / minute. Then the oil smoke generated by beef fried with green pepper is (0.05+0.03)*10=0.8 liters; the oil smoke generated by steamed fish is 0.02*15=0.3 liters; the oil smoke generated by scrambled eggs is 0.04*8=0.32 liters; therefore, the total current accumulated oil smoke of one week is 0.8+0.3+0.32=1.42 liters.

[0070] In this embodiment, by estimating the amount of oil smoke generated by each cooking ingredient based on its cooking type and the duration of each cooking, combined with the cooking frequency of the ingredient, the current accumulated oil smoke can be accurately calculated, thereby more effectively arranging the use of the range hood and the cleaning of the oil box.

[0071] In one embodiment, the estimating the amount of cooking fume of each cooking ingredient based on the cooking type of each cooking ingredient and the duration of each cooking comprises:

[0072] Obtaining a smoke concentration variation curve corresponding to the cooking type corresponding to the cooking ingredient;

[0073] The cooking fume amount of each cooking ingredient is estimated based on the cooking type of the cooking ingredient, the duration of each cooking and the fume concentration variation curve.

[0074] The oil smoke concentration variation curve represents a curve showing how the amount of smoke generated when cooking ingredients are cooked using their cooking type varies over time.

[0075] Assume that the cooking ingredients and their corresponding cooking types, and the duration of each cooking include: beef fried with green pepper: 10 minutes, steamed fish: 15 minutes, scrambled eggs: 8 minutes. According to the fume concentration change curve and duration, the fume volume of each ingredient is calculated as follows:

[0076] The amount of oil smoke from beef fried with green peppers:

[0077] Amount of oil smoke from steamed fish:

[0078] Scrambled eggs smoke:

[0079] Finally, it can be calculated that stir-fried beef with green peppers produces 0.8 liters of oil smoke, steamed fish produces 0.3 liters of oil smoke, and scrambled eggs produces 0.32 liters of oil smoke.

[0080] In this embodiment, by obtaining the fume concentration change curve of a specific cooking ingredient under different cooking types, the characteristics and rules of fume generation can be accurately captured. Combined with the duration of each cooking, the amount of cooking fume generated by each ingredient during the cooking process can be accurately estimated.

[0081] 103: estimating a warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the average daily accumulated oil fume amount, and the current accumulated oil fume.

[0082] Under the constraints of the oil box specification information, assuming that the rated oil fume capacity of the oil box is C liters and the current accumulated oil fume volume is C current Liter, the average daily accumulated amount of oil smoke is R daily Liter / day, the estimated warning time T days can be calculated according to the following formula:

[0083]

[0084] In one embodiment, the estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the daily average oil fume accumulation amount and the current accumulated oil fume includes:

[0085] Determining a current oil fume capacity based on the specification information of the oil box and the current accumulated oil fume;

[0086] Calculating a capacity difference between the current oil fume capacity and the rated oil fume capacity;

[0087] The warning time when the oil fume of the oil box reaches the rated oil fume capacity is estimated based on the capacity difference and the average daily oil fume accumulation amount.

[0088] The current oil fume capacity may indicate the volume of the current oil fume in the oil box, and the rated oil fume capacity may indicate the volume of the oil fume when the oil box is full.

[0089] For example, assuming that the rated oil fume capacity of the oil box is 1000 ml, the current accumulated oil fume is 750 ml, and the average daily accumulated oil fume is 15 ml / day, under the constraints of the oil box specification information, the current oil fume capacity is 750 ml, and the capacity difference = rated oil fume capacity - current oil fume capacity = 1000 ml - 750 ml = 250 ml; the warning time for the oil box to reach the rated oil fume capacity is estimated using the capacity difference and the average daily accumulated oil fume as follows:

[0090]

[0091] In this embodiment, the current oil fume capacity is determined based on the specification information of the oil box and the current accumulated oil fume, which is conducive to accurately grasping the real-time status of the oil fume in the oil box. Then, by calculating the capacity difference between the current oil fume capacity and the rated oil fume capacity, it is possible to provide an accurate warning time for cleaning the oil box; it not only reduces the inconvenience of users frequently checking the status of the oil box, but also reduces the maintenance costs and potential health risks caused by oil fume overflow. In addition, the warning time is estimated in combination with the average daily oil fume accumulation, which further improves the accuracy of the estimate, allowing users to plan cleaning time more reasonably to ensure kitchen hygiene and efficient operation of the range hood.

[0092] In one implementation, the estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the capacity difference and the daily average oil fume accumulation includes:

[0093] Obtain cooking environment factors;

[0094] adjusting the capacity difference based on the cooking environment factors;

[0095] The warning time when the oil fume of the oil box reaches the set oil fume capacity is estimated based on the adjusted capacity difference and the average daily oil fume accumulation.

[0096] The cooking environment factors include the temperature, wind direction and range hood power of the cooking environment.

[0097] A temperature sensor can be used to monitor the temperature of the cooking environment; an anemometer can be used to monitor the wind speed and direction of the cooking environment; and a power meter can be used to monitor the power of the range hood to evaluate its working efficiency.

[0098] For example, the current oil fume capacity is 750 ml, the rated oil fume capacity is 1000 ml, the average daily oil fume accumulation is 15 ml / day, and the capacity difference between the current oil fume capacity and the rated oil fume capacity is 250 ml. If the cooking environment factors are high temperature environment, strong wind environment and high-power hood, the high temperature environment increases the oil fume generation and reduces the capacity difference by 10%; the strong wind environment increases the diffusion of oil fume and reduces the accumulation of oil fume in the oil box, which increases the capacity difference by 5%; the high-power hood can discharge oil fume more effectively and reduce the accumulation of oil fume in the oil box, which may require reducing the capacity difference by 5%; the final adjusted capacity difference is: 250ml×(1-0.10+0.05 - 0.05) = 250ml × 0.9 = 225ml. The warning time for the oil box to reach the rated oil fume capacity is estimated by using the capacity difference and the average daily oil fume accumulation as follows:

[0099]

[0100] In this embodiment, the capacity difference of the oil box can be adjusted more accurately by the cooking environment factors, and the influence of the environment on the generation and emission of oil smoke is taken into account, so that the calculation of the capacity difference is more in line with the actual usage. Combined with the average daily oil smoke accumulation, the warning time when the oil box reaches the set oil smoke capacity can be accurately estimated. The risk of oil smoke overflow is reduced, providing users with a more intelligent and automated cooking environment.

[0101] 104: When the current time reaches the warning time, generate warning information, and send the warning information to the associated device, so that the associated device performs a warning reminder based on the warning information.

[0102] The warning information may be a sound signal, a text signal or a light signal, etc., which is not specifically limited here.

[0103] A communication module may be configured in the range hood to ensure that the range hood can communicate with the user's smartphone or other associated devices (such as an operation panel, indicator lights, etc.). For example, when the current time reaches the warning time, a light-on instruction is generated, and the light on the range hood is controlled to flash according to the light-on instruction to provide a warning reminder, so that the user can check the oil box of the range hood and clean it in time. For another example, when the current time reaches the warning time, a voice / text message "The oil box is about to be full, please clean the oil box immediately" is generated, and the information is broadcasted and / or sent to the user's mobile phone as a warning reminder.

[0104] In one embodiment, the warning time includes an early warning time, a mid-term warning time, and a full-staff warning time. When the current time reaches the warning time, generating warning information includes:

[0105] If the current time reaches the early warning time, generating a first warning message;

[0106] If the current time reaches the mid-term warning time, generating a second warning message;

[0107] If the current time reaches the full-occupancy warning time, a third warning message is generated.

[0108] For example, set the early warning time (e.g., 70% of the rated oil fume capacity); set the mid-term warning time (e.g., 85% of the rated oil fume capacity); set the full warning time (e.g., 95% of the rated oil fume capacity); assuming that the rated oil fume capacity is 1000 ml and the current oil fume capacity is 500 ml, the early warning time is 700 ml (70% capacity), the mid-term warning time is 850 ml (85% capacity), and the full warning time is 950 ml (95% capacity). Based on the average daily accumulated oil fume volume (assuming 15 ml / day), estimate the time to reach each warning threshold:

[0109] Early warning time:

[0110] Mid-term warning time:

[0111] Full warning time:

[0112] Therefore, when the current time reaches the early warning time, the first warning message is generated: "The oil box has reached 70% capacity, it is recommended to start considering cleaning."; when the current time reaches the medium-term warning time, the second warning message is generated: "The oil box has reached 85% capacity, please clean the oil box in the near future."; when the current time reaches the full warning time, the third warning message is generated: "The oil box is about to be full, please clean the oil box immediately to avoid oil smoke overflow.".

[0113] In this embodiment, it is possible to provide staged warnings when the oil box reaches different capacity thresholds, helping the user to clean the oil box in time to avoid oil fume overflow, while improving the user experience.

[0114] The above is the oil level warning process of the range hood of this application.

[0115] As described above, the present application provides an oil quantity warning method for a range hood, by determining the rated oil fume capacity and specification information of the oil box; obtaining cooking data within the current oil fume accumulation cycle, and estimating the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data; estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the average daily accumulated oil fume, and the current accumulated oil fume; when the current time reaches the warning time, generating warning information, and sending the warning information to an associated device, so that the associated device issues a warning reminder based on the warning information. In the oil quantity warning scheme for the range hood provided in the present application, the current accumulated oil fume and the average daily accumulated oil fume of the oil box can be estimated based on the cooking data within the current oil fume accumulation cycle, and the warning time when the oil fume of the oil box reaches the rated oil fume capacity can be estimated based on the specification information, the average daily accumulated oil fume, and the current accumulated oil fume; and a warning is issued when the current time reaches the warning time. It can be seen that this solution can automatically generate warning information based on the specification information, the average daily accumulated oil fume volume and the current accumulated oil fume when the oil box is about to reach the rated oil fume capacity, and send this information to the user's associated device to warn the user, ensuring that the user can receive a warning in time even when he is busy or not in the kitchen, so as to deal with the oil box cleaning problem in time. It not only improves the accuracy and convenience of users' timely cleaning of the oil box, but also helps to maintain kitchen hygiene and the performance of the range hood, and reduces potential health and safety risks caused by oil fume overflow. Therefore, this solution improves the accuracy and convenience of timely handling of the oil volume in the oil box of the range hood, helps users save maintenance time and energy, improves the intelligence level of kitchen appliances, and meets the pursuit of modern families for efficient and convenient kitchen life.

[0116] In order to better implement the oil quantity warning method of the range hood of the embodiment of the present application, the embodiment of the present invention also provides an oil quantity warning device based on the range hood. The meanings of the terms are the same as those in the oil quantity warning method of the range hood, and the specific implementation details can refer to the description in the method embodiment.

[0117] See also Figure 3 , Figure 3 The schematic diagram of the structure of the oil quantity warning device of the range hood provided in the embodiment of the present application, wherein the recommendation device may include a determination module 201, an acquisition module 202, an estimation module 203 and a generation module 204, which may be specifically as follows:

[0118] The determination module 201 is used to determine the rated oil fume capacity and specification information of the oil box;

[0119] The acquisition module 202 is used to acquire cooking data in the current oil fume accumulation period, and estimate the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data;

[0120] An estimation module 203 is used to estimate the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the daily average oil fume accumulation amount and the current accumulated oil fume;

[0121] The generating module 204 is used to generate warning information when the current time reaches the warning time, and send the warning information to the associated device, so that the associated device performs a warning reminder based on the warning information.

[0122] In this embodiment, the rated oil fume capacity and specification information of the oil box are determined; the cooking data within the current oil fume accumulation cycle is obtained, and the current accumulated oil fume and the average daily accumulated oil fume of the oil box are estimated based on the cooking data; the warning time when the oil fume of the oil box reaches the rated oil fume capacity is estimated based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume; when the warning time is reached at the current time, warning information is generated, and the warning information is sent to the associated device, so that the associated device issues a warning reminder based on the warning information. In the oil volume warning scheme of the range hood provided in the present application, the current accumulated oil fume and the average daily accumulated oil fume of the oil box can be estimated based on the cooking data within the current oil fume accumulation cycle, and the warning time when the oil fume of the oil box reaches the rated oil fume capacity can be estimated based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume; and a warning is issued when the warning time is reached at the current time. It can be seen that this solution can automatically generate warning information based on the specification information, the average daily accumulated oil fume volume and the current accumulated oil fume when the oil box is about to reach the rated oil fume capacity, and send this information to the user's associated device to warn the user, ensuring that the user can receive a warning in time even when he is busy or not in the kitchen, so as to deal with the oil box cleaning problem in time. It not only improves the accuracy and convenience of users' timely cleaning of the oil box, but also helps to maintain kitchen hygiene and the performance of the range hood, and reduces potential health and safety risks caused by oil fume overflow. Therefore, this solution improves the accuracy and convenience of timely handling of the oil volume in the oil box of the range hood, helps users save maintenance time and energy, improves the intelligence level of kitchen appliances, and meets the pursuit of modern families for efficient and convenient kitchen life.

[0123] Optionally, in some embodiments of the present application, the acquisition module includes:

[0124] An analysis submodule, configured to perform a cooking habit analysis on the cooking data in the current oil smoke accumulation period to obtain the cooking frequency, cooking type and duration of each cooking of each cooking ingredient;

[0125] The first estimation submodule is used to estimate the current accumulated oil smoke based on the cooking frequency, the cooking type and the duration of each cooking of each cooking ingredient.

[0126] Optionally, in some embodiments of the present application, the first estimation submodule includes:

[0127] A first estimating unit, configured to estimate the amount of cooking fume of each cooking ingredient based on the cooking type of each cooking ingredient and the duration of each cooking;

[0128] The second estimating unit is used to estimate the current accumulated oil fume based on the amount of cooking oil fume of each of the cooking ingredients and the cooking frequency.

[0129] Optionally, in some embodiments of the present application, the second estimating unit is specifically configured to:

[0130] Obtaining a smoke concentration variation curve corresponding to the cooking type corresponding to the cooking ingredient;

[0131] The cooking fume amount of each cooking ingredient is estimated based on the cooking type of the cooking ingredient, the duration of each cooking and the fume concentration variation curve.

[0132] Optionally, in some embodiments of the present application, the estimation module includes:

[0133] A determination submodule, configured to determine a current oil fume capacity based on the specification information of the oil box and the current accumulated oil fume;

[0134] A calculation submodule, used for calculating the capacity difference between the current oil fume capacity and the rated oil fume capacity;

[0135] The second estimation submodule is used to estimate the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the capacity difference and the daily average oil fume accumulation amount.

[0136] Optionally, in some embodiments of the present application, the second estimation submodule includes:

[0137] An acquisition unit, used for acquiring cooking environment factors;

[0138] an adjusting unit, configured to adjust the capacity difference based on the cooking environment factors;

[0139] The third estimating unit is used to estimate the warning time when the oil smoke of the oil box reaches a set oil smoke capacity based on the adjusted capacity difference and the daily average oil smoke accumulation.

[0140] Optionally, in some embodiments of the present application, the warning time includes an early warning time, a mid-term warning time, and a full warning time, and the generating module includes:

[0141] A first generating submodule, configured to generate first warning information if the current time reaches the early warning time;

[0142] A second generating submodule, configured to generate a second warning message if the current time reaches the mid-term warning time;

[0143] The third generating submodule is used to generate third warning information if the current time reaches the full-occupancy warning time.

[0144] It should be noted that in the embodiment of the present application, if the above method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM, Read Only Memory), a disk or an optical disk. In this way, the embodiment of the present application is not limited to any specific combination of hardware and software.

[0145] Correspondingly, an embodiment of the present application also discloses a storage medium storing a computer program that can be loaded by a processor and execute the above method.

[0146] The present application also discloses an electronic device, such as Figure 4 As shown, it includes a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400 and a memory 500. The processor 100 is used to provide computing and control capabilities, the communication bus 200 is configured to achieve connection and communication between these components, the user interface 300 may include a display screen, the external communication interface 400 may include a standard wired interface and a wireless interface, and the memory 500 stores an oil quantity early warning method for a range hood. The processor 100 is also used to adopt the above method when executing the oil quantity early warning method for a range hood stored in the memory 500.

[0147] Optionally, in some embodiments, the processor implements the following steps when executing the computer program:

[0148] Determine the rated oil fume capacity and specification information of the oil box; obtain cooking data within the current oil fume accumulation cycle, and estimate the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data; estimate the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume; when the warning time is reached at the current time, generate warning information, and send the warning information to the associated device, so that the associated device will issue a warning reminder based on the warning information.

[0149] In an embodiment, the current accumulated oil fume and the average daily accumulated oil fume of the oil box can be estimated based on the cooking data in the current oil fume accumulation cycle, and the warning time when the oil fume of the oil box reaches the rated oil fume capacity can be estimated based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume; and an early warning is issued when the current time reaches the early warning time. It can be seen that this solution can automatically generate early warning information when the oil box is about to reach the rated oil fume capacity based on the specification information, the average daily accumulated oil fume and the current accumulated oil fume, and send this information to the user's associated device to warn the user, ensuring that the user can receive the early warning in time even when he is busy or not in the kitchen, so as to deal with the oil box cleaning problem in time. It not only improves the accuracy and convenience of users' timely cleaning of the oil box, but also helps to maintain kitchen hygiene and the performance of the range hood, and reduces the potential health and safety risks caused by oil fume overflow. Therefore, this solution improves the accuracy and convenience of timely handling of the oil volume of the oil box of the range hood, helps users save maintenance time and energy, improves the intelligence level of kitchen appliances, and meets the pursuit of modern families for efficient and convenient kitchen life.

[0150] It should be understood that "one embodiment" or "some embodiments" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The above-mentioned sequence numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments.

[0151] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0152] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0153] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0154] In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be a separate unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0155] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0156] Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application can essentially or in other words, the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a device to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0157] The above disclosure is only the preferred embodiment of the present application, which certainly cannot be used to limit the scope of rights of the present application. Therefore, equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A method for early warning of oil level of a range hood, characterized in that: include: Determine the rated oil fume capacity and specification information of the oil box; Acquire cooking data in a current oil fume accumulation period, and estimate the current accumulated oil fume and the average daily accumulated oil fume amount of the oil box based on the cooking data; estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the daily average oil fume accumulation amount and the current accumulated oil fume; When the current time reaches the warning time, warning information is generated, and the warning information is sent to the associated device, so that the associated device performs a warning reminder based on the warning information.

2. The oil level warning method for a range hood according to claim 1, characterized in that: The estimating the current accumulated oil smoke of the oil box based on the cooking data comprises: Performing a cooking habit analysis on the cooking data in the current oil smoke accumulation period to obtain the cooking frequency, cooking type and duration of each cooking of each cooking ingredient; The current accumulated oil smoke is estimated based on the cooking frequency, the cooking type, and the duration of each cooking of each cooking ingredient.

3. The oil level warning method for a range hood according to claim 2, characterized in that: The estimating the current accumulated oil smoke based on the cooking frequency, the cooking type and the duration of each cooking of each cooking ingredient comprises: estimating the amount of cooking fume of each cooking ingredient based on the cooking type of each cooking ingredient and the duration of each cooking; The current accumulated oil fume is estimated based on the amount of cooking oil fume of each of the cooking ingredients and the cooking frequency.

4. The oil level warning method for a range hood according to claim 3, characterized in that: The estimating the amount of cooking fume of each cooking ingredient based on the cooking type of each cooking ingredient and the duration of each cooking comprises: Obtaining a smoke concentration variation curve corresponding to the cooking type corresponding to the cooking ingredient; The cooking fume amount of each cooking ingredient is estimated based on the cooking type of the cooking ingredient, the duration of each cooking and the fume concentration variation curve.

5. The oil level warning method for a range hood according to claim 1, characterized in that: The estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the daily average oil fume accumulation amount and the current accumulated oil fume includes: Determining a current oil fume capacity based on the specification information of the oil box and the current accumulated oil fume; Calculating a capacity difference between the current oil fume capacity and the rated oil fume capacity; The warning time when the oil fume of the oil box reaches the rated oil fume capacity is estimated based on the capacity difference and the average daily oil fume accumulation amount.

6. The oil level warning method for a range hood according to claim 5, characterized in that: The estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the capacity difference and the daily average oil fume accumulation amount includes: Obtain cooking environment factors; adjusting the capacity difference based on the cooking environment factors; The warning time when the oil fume of the oil box reaches the set oil fume capacity is estimated based on the adjusted capacity difference and the average daily oil fume accumulation.

7. The oil level warning method for a range hood according to claim 1, characterized in that: The warning time includes early warning time, mid-term warning time and full warning time. When the warning time is reached at the current time, warning information is generated, including: If the current time reaches the early warning time, generating a first warning message; If the current time reaches the mid-term warning time, generating a second warning message; If the current time reaches the full-occupancy warning time, a third warning message is generated.

8. An oil level warning device for a range hood, characterized in that: include: A determination module, used to determine the rated oil fume capacity and specification information of the oil box; An acquisition module, used for acquiring cooking data in a current oil fume accumulation period, and estimating the current accumulated oil fume and the average daily accumulated oil fume of the oil box based on the cooking data; An estimation module, used for estimating the warning time when the oil fume of the oil box reaches the rated oil fume capacity based on the specification information, the daily average oil fume accumulation amount and the current accumulated oil fume; The generating module is used to generate warning information when the current time reaches the warning time, and send the warning information to the associated device, so that the associated device performs a warning reminder based on the warning information.

9. A storage medium, characterized in that: A computer program is stored thereon, wherein when the computer program is executed by a processor, the steps of the oil quantity warning method for the range hood as described in any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: include: It comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the oil quantity warning method for the range hood as claimed in any one of claims 1 to 7 are implemented.

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