CN116406958A - Prompt method and device for cooking equipment and cooking equipment - Google Patents
Prompt method and device for cooking equipment and cooking equipment Download PDFInfo
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J36/00—Parts, details or accessories of cooking-vessels
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- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
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Abstract
The application relates to the technical field of intelligent household appliances, and discloses a prompting method for cooking equipment, which comprises the following steps: responding to the detection instruction, and acquiring first spectrum information of the current period in the cooking equipment acquired by the hyperspectral imaging system; and determining first prompt information for adjusting the light source according to the first spectrum information of the current period, and pushing. And determining prompt information related to the performance of the light source by utilizing the relation between the spectrum information and the performance of the light source and pushing the prompt information to a user so as to prompt the user to replace, adjust or maintain the light source, thereby avoiding the influence of the reduction of the performance of the light source on the collected spectrum data of the food, and further ensuring the accuracy of detecting the maturity of the food according to the spectrum data of the food. The application also discloses a prompting device for the cooking equipment and the cooking equipment.
Description
Technical Field
The application relates to the technical field of intelligent household appliances, and for example relates to a prompting method and device for cooking equipment and the cooking equipment.
Background
At present, with the development of technology and the improvement of living standard of people, intelligent cooking equipment has become an indispensable kitchen appliance for more and more families. Generally, the intelligent cooking equipment can cook food materials by setting a heating mode, heating time or heating power, so that the food materials are ensured to be ripe. However, due to the variety of food materials and the difference of people's preference for the taste of the food materials, the utilization of fixed heating parameters as a sign of the maturity of the food materials has not been able to meet the demands gradually.
In the related art, there is provided a food heating control method, by acquiring a hyperspectral image of a heated food, to determine surface texture and color information of the heated food based on the hyperspectral image, thereby determining whether the doneness of the heated food reaches a set doneness, and stopping heating after the set doneness is reached. Therefore, the temperature of the food material is not required to be obtained by adopting the temperature sensor, the degree of ripeness of the food material is not required to be judged by relying on experience of a cooker, and intelligent adjustment can be realized according to the characteristic difference of the food material heating device so as to achieve a better cooking effect.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
when food images are acquired by a spectral imaging technology, a light source is an indispensable component, but the brightness of the light source such as a halogen lamp slowly decreases with time, and the performance degradation has a certain influence on cooking equipment for determining the maturity of food by using the spectral imaging technology.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a prompting method and device for cooking equipment, and the cooking equipment, wherein the condition of light source performance is determined through acquisition of spectrum information, so that corresponding prompting is performed, and the accuracy of food maturity detection is improved when food images are acquired through a spectrum imaging technology.
In some embodiments, the prompting method for a cooking apparatus includes: responding to the detection instruction, and acquiring first spectrum information of the current period in the cooking equipment acquired by the hyperspectral imaging system; and determining first prompt information for adjusting the light source according to the first spectrum information of the current period, and pushing the first prompt information.
In some embodiments, the prompting device for a cooking apparatus includes: the information obtaining module is configured to respond to the detection instruction and obtain first spectrum information of the current period in the cooking equipment, which is acquired by the hyperspectral imaging system; and the prompt pushing module is configured to determine first prompt information for adjusting the light source according to the first spectrum information of the current period and push the first prompt information.
In some embodiments, the prompting device for a cooking apparatus includes a processor and a memory storing program instructions, the processor being configured to execute the prompting method for a cooking apparatus described above when the program instructions are executed.
In some embodiments, the cooking apparatus comprises a hyperspectral imaging system; and the prompting device for the cooking equipment.
The prompting method and device for the cooking equipment and the cooking equipment provided by the embodiment of the disclosure can realize the following technical effects:
when the detection instruction is executed, the current light source performance is determined by acquiring the current spectrum information in the cooking equipment, so that first prompt information related to the light source performance is generated and pushed to a user. Therefore, the relation between the spectrum information and the light source performance is utilized to determine the prompt information related to the light source performance and push the prompt information to the user so as to prompt the user to replace, adjust or maintain the light source, further avoid the influence of the light source performance reduction on the collected food spectrum data, and further ensure the accuracy of detecting the food maturity according to the food spectrum data.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
fig. 1 is a schematic view of a usage scenario of a cooking apparatus provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a hyperspectral imaging system provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an imaging process of a spectral imaging chip provided by an embodiment of the present disclosure;
fig. 4 is a flowchart of a prompting method for a cooking device according to an embodiment of the disclosure;
FIG. 5 is a schematic diagram of a correspondence between a time limit of use and spectral intensity provided by an embodiment of the present disclosure;
fig. 6 is a flow chart of another prompting method for a cooking device provided in an embodiment of the present disclosure;
fig. 7 is a schematic view of a reminder device for a cooking apparatus provided in an embodiment of the present disclosure;
fig. 8 is a schematic view of another prompting device for a cooking apparatus provided in an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.
The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated.
In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
The term "corresponding" may refer to an association or binding relationship, and the correspondence between a and B refers to an association or binding relationship between a and B.
In the embodiment of the disclosure, the intelligent home appliance refers to a home appliance formed after a microprocessor, a sensor technology and a network communication technology are introduced into the home appliance, and has the characteristics of intelligent control, intelligent sensing and intelligent application, the operation process of the intelligent home appliance often depends on the application and processing of modern technologies such as the internet of things, the internet and an electronic chip, for example, the intelligent home appliance can realize remote control and management of a user on the intelligent home appliance by connecting the electronic appliance.
In the embodiment of the disclosure, the terminal device refers to an electronic device with a wireless connection function, and the terminal device can be in communication connection with the intelligent household electrical appliance through connecting with the internet, and can also be in communication connection with the intelligent household electrical appliance through Bluetooth, wifi and other modes. In some embodiments, the terminal device is, for example, a mobile device, a computer, or an in-vehicle device built into a hover vehicle, etc., or any combination thereof. The mobile device may include, for example, a cell phone, smart home device, wearable device, smart mobile device, virtual reality device, etc., or any combination thereof, wherein the wearable device includes, for example: smart watches, smart bracelets, pedometers, etc.
Fig. 1 is a schematic view of a usage scenario of a cooking apparatus provided by an embodiment of the present disclosure, and in conjunction with fig. 1, the usage scenario includes a cooking apparatus 200 and a home cloud platform 210 for communicating with the cooking apparatus. The cooking device 200 may be an intelligent cooking device such as an oven, a microwave oven, an electric cooker, etc.
Here, the cooking apparatus 200 includes a cooking cavity, a light source disposed within the cooking cavity, and a hyperspectral imaging system.
Generally, the cooking apparatus 200 may access a WiFi network in a home to communicate with a control terminal such as a mobile phone, a cloud server, etc. The user may also control the cooking appliance 200 to execute cooking program instructions (including cooking control instructions, maturity detection instructions, etc.) via a smart phone side application.
The cooking device 200 communicates with the home cloud platform 210 through a WiFi network, receives real-time status data of the cooking device 200 for subscription by a big data platform and an application program service, and receives and issues cooking program instructions from other business servers, the big data platform, an application program end and an intelligent terminal.
In other implementation scenarios of the present solution, a terminal device may be further included for communicating with the cooking device 200 and/or the home cloud platform, where the terminal device refers to an intelligent device in a smart home application scenario, such as a smart phone, a wearable device, an intelligent mobile device, a virtual display device, etc., and may also be an intelligent home appliance, such as an intelligent refrigerator, an intelligent television, an intelligent washing machine, an intelligent air conditioner, an intelligent sound box, an intelligent lamp, an intelligent curtain, etc., or any combination thereof.
Fig. 2 is a schematic diagram of a hyperspectral imaging system in an embodiment of the present disclosure. The hyperspectral imaging system in the embodiment of the present disclosure is applied to the above cooking apparatus.
Hyperspectral imaging is a careful segmentation in the spectral dimension, not just the traditional so-called black, white or R, G, B distinction, but also N channels in the spectral dimension, for example: 400nm-1000nm can be divided into 300 channels. Therefore, the hyperspectral device acquires a data cube, not only has the information of the image, but also expands in the spectrum dimension, so that not only the spectrum data of each point on the image can be obtained, but also the image information of any spectrum can be obtained. This means that hyperspectral imaging techniques can provide more accurate and richer data for food material maturity identification.
Compared with hundreds of channels in hyperspectral imaging, the RGB imaging commonly adopted in the related technology only has three channels, and the maturity of food materials is judged by the intensity data of the three channels, so that the accuracy is poor.
Referring to fig. 2, a hyperspectral imaging system according to an embodiment of the present disclosure includes an insulating lens 100, a spectral imaging chip 110, and a data interaction circuit 120. The data interaction circuit 120 includes an analog-to-digital conversion module, a data storage module, a data processing module, and a man-machine interaction module.
Generally, in order to better acquire spectral data of a target food material, the insulating lens 100 is disposed at a top corner position in the cooking apparatus. Specifically, the device can be arranged at the diagonal position of the cooking cavity so as to improve the accuracy of spectrum data acquisition.
Alternatively, the spectral imaging chip 110 in the present embodiment employs a tile-type spectral imaging chip, that is, one time includes acquiring three-dimensional data including two-dimensional space and one-dimensional time. Taking a 4-spectrum tile-type spectrum imaging chip structure as an example, for an image sensor with MxN pixels, each spectrum segment respectively occupies (M/2 xN/2) pixels, adjacent (M/2 xN/2) pixels form a filter block, and the same spectrum filter film structure is integrated on the same filter block, namely, the (M/2 xN/2) pixels have the same spectrum selectivity.
Further, the number 101 of microlens arrays of the thermal insulation lens 100 is the same as the number of filter blocks of the tile-type spectral imaging chip 110, that is, for the same target food 130, m×n pixels are imaged on different spectral selective imaging blocks respectively, and finally, a target spectral image 140 (M/2×n/2×4) is obtained under the processing of the data interaction circuit 120, and the imaging process is shown in fig. 3.
Therefore, the hyperspectral imaging system is applied to cooking equipment, can collect spectral information in the cooking equipment, and accordingly utilizes the collected spectral information to detect the performance of the light source in the embodiment of the disclosure, so that relevant prompt information pushing is carried out, or the collected spectral information is utilized to judge the maturity of food materials, so that the cooking equipment can make feedback based on the maturity of target food materials.
Fig. 4 is a flowchart of a prompting method for a cooking apparatus according to the present embodiment, where the prompting method for a cooking apparatus is applied to a cooking apparatus having the above hyperspectral imaging system. The prompting method for the cooking equipment can be executed in a hyperspectral imaging system or at a control end of the cooking equipment; may also be implemented in a server, such as a home cloud platform in communication with the cooking device; and can also be executed in terminal equipment, such as a control terminal of a smart phone and a smart home appliance. In the embodiment of the present disclosure, a description will be given of a description of a mode in which a processor of a cooking apparatus is used as an execution subject.
In step S401, in response to the detection instruction, first spectral information of a current period in the cooking apparatus acquired by the hyperspectral imaging system is obtained.
Here, the detection instruction may be an instruction issued by the user, or may be a self-detection instruction issued when the cooking apparatus itself determines that it is suitable for running.
In some application scenarios, the cooking device may obtain the detection instruction according to a voice instruction of a user; or the detection instruction is acquired through the operation intention of the user, such as a key, a touch screen, a knob, a door opening and closing, a set gesture and the like. The cooking device can also acquire a detection instruction issued by a user through an application program of the smart phone through communication with the smart phone. In addition, the cooking apparatus may execute the detection instruction before each heating operation.
The first spectrum information, which is used to represent the current collected spectrum situation, may include information such as spectrum intensity, peak value, and trend of change. Here, collecting first spectral information of a current period in the cooking apparatus includes acquiring spectral intensity information in the cooking apparatus with the light source on.
In this embodiment, the first spectral information represents the average intensity of the spectrum acquired within the cooking device of the current cycle.
Step S402, according to the first spectrum information of the current period, determining first prompt information for adjusting the light source, and pushing.
And determining the current light source performance according to the first spectrum information of the current period, so as to generate first prompt information related to the light source performance and push the first prompt information to a user. Therefore, the relation between the spectrum information and the light source performance is utilized to determine the prompt information related to the light source performance and push the prompt information to the user so as to prompt the user to replace, adjust or maintain the light source, further avoid the influence of the light source performance reduction on the collected food spectrum data, and further ensure the accuracy of detecting the food maturity according to the food spectrum data.
The light source brightness will slowly decrease over time, and the spectrum will show an overall decrease in full spectrum intensity. Therefore, the current use time limit value of the light source can be judged according to the reduction amount of the spectrum intensity. For example, fig. 5 shows the correspondence between the limit value a and the spectral intensity for different uses for the same light source. It can be seen that the higher the limit value a is used, the higher the spectral intensity of the light source.
Optionally, determining the first prompt information for adjusting the light source according to the first spectrum information of the current period includes:
obtaining a parameter difference value between preset spectrum information and first spectrum information;
and determining the use time limit value of the light source according to the parameter difference value, and determining first prompt information corresponding to the use time limit value and used for adjusting the light source.
The preset spectrum information is used for representing spectrum information acquired when the performance of the light source is better, for example, rated spectrum information set when the equipment leaves a factory; the spectrum information in the cooking device collected by the hyperspectral imaging system can be set as the preset spectrum information when the device is used for the first time.
The parameter difference value between the preset spectrum information and the first spectrum information is used for representing the descending amplitude of the illumination performance of the light source in the current period.
The time limit value is used for representing the residual service life of the light source.
Thus, corresponding prompt messages are determined through the corresponding relation between the descending amplitude of the light source performance and the service life.
Optionally, the obtaining of the limit value in use includes:
obtaining a light source use time limit information table of the cooking equipment, wherein the light source use time limit information table stores light source use time limits corresponding to different spectrum parameter difference values;
and obtaining a spectrum parameter difference value (namely a parameter difference value between preset spectrum information and first spectrum information), and matching a light source use time limit value corresponding to the current parameter difference value in a light source use time limit information table.
The light source use time limit information table of the cooking equipment can be obtained through simulation or through limited experiments, and the obtained data mapping relation is stored in the processor in the form of a data information table for calling.
Further, the larger the parameter difference between the preset spectrum information and the first spectrum information is, the smaller the corresponding light source use time limit value is.
Specifically, determining the use time limit value of the light source according to the parameter difference value includes:
determining a current difference interval corresponding to the parameter difference in a plurality of preset difference intervals;
under the condition that the current difference interval is a first difference interval, the using time limit value of the light source is a first time limit value; when the current difference interval is the second difference interval, the using time limit value of the light source is the second time limit value;
the lower limit value of the first difference value interval is larger than the upper limit value of the second difference value interval, and the first time limit value is smaller than the second time limit value.
Therefore, the relation between the spectrum information and the light source performance is utilized to determine the prompt information related to the light source performance and push the prompt information to the user so as to prompt the user to replace, adjust or maintain the light source, further avoid the influence of the light source performance reduction on the collected food spectrum data, and further ensure the accuracy of detecting the food maturity according to the food spectrum data.
Optionally, determining the first prompting information for adjusting the light source, which corresponds to the limit value in use, includes:
determining first prompt information for adjusting the light source under the condition that the limit value is smaller than or equal to the replacement prompt threshold value in use; the first prompt message is used for prompting a user to replace the light source.
The replacement prompt threshold is used for indicating the situation that the current light source is lower in use time limit value and the spectrum identification effect on food cannot be achieved after continuous use. At this time, the user is prompted to replace the light source by sending the first prompt message for adjusting the light source to the user, so that the user can repair after sale or automatically replace the light source device.
Further, determining the first hint information for light source adjustment further includes:
determining the prompting strength of the first prompting information according to the time limit difference value between the replacement prompting threshold value and the using time limit value;
wherein, the time limit difference value and the prompt strength are in positive correlation.
Here, prompt information with different intensities can be pushed to the user according to the use time limit value of the current light source, so that the user can perform corresponding adjustment operation. The prompting strength can be embodied in the forms of warning degree, pushing frequency and the like during prompting.
Further, pushing the first prompt information to the user, further includes:
determining a current time limit interval corresponding to the current use time limit value in a plurality of preset time limit intervals; under the condition that the current time limit interval is a first time limit interval, the prompting strength of the first prompting information is the first strength; under the condition that the current time limit interval is a second time limit interval, the prompting strength of the first prompting information is the second strength; the lower limit value of the first time limit interval is larger than the upper limit value of the second time limit interval, and the first prompt strength is higher than the second prompt strength.
For example, the first prompt intensity is that a command is sent out by a computer board of the cooking equipment and transmitted to a display board of the cooking equipment or a display board of a control end, and a red light source adjusting prompt pattern is displayed; the second prompting intensity is that a command is sent out through a computer board of the cooking equipment and is transmitted to a display board of the cooking equipment or a display board of a control end, and a yellow light source adjusting prompting pattern is displayed.
For another example, the first prompt strength is that the cooking device pushes the light source adjusting prompt information to the intelligent device of the user at a first prompt frequency through cloud or home networking; the second prompt intensity pushes the light source adjusting prompt information to the intelligent equipment of the user at a second prompt frequency. The first alert frequency is higher than the second alert frequency.
For another example, the prompt intensity is to display the light source adjustment prompt information on the intelligent home appliance with the display device through the home networking. When the first prompt intensity is executed, the light source adjusts the prompt information that the shielding area of the prompt information on the display device is larger than the prompt information of the second prompt intensity. The intelligent household appliances can be televisions and computers.
By adopting the prompting method for the cooking equipment, when the detection instruction is executed, the current light source performance is determined by acquiring the current spectrum information in the cooking equipment, so that the first prompting information related to the light source performance is generated and pushed to the user. And determining prompt information related to the performance of the light source by utilizing the relation between the spectrum information and the performance of the light source and pushing the prompt information to a user so as to prompt the user to replace, adjust or maintain the light source, thereby avoiding the influence of the reduction of the performance of the light source on the collected spectrum data of the food, and further ensuring the accuracy of detecting the maturity of the food according to the spectrum data of the food. The scheme has high feasibility, the detection result is little influenced by external environment factors, and the result is accurate and visual, thereby achieving better user experience.
Fig. 6 is a flowchart of another prompting method for a cooking apparatus according to the present embodiment, where the prompting method for a cooking apparatus is applied to a cooking apparatus having the hyperspectral imaging system described above. The prompting method for the cooking equipment can be executed in a hyperspectral imaging system, and can also be executed at a control end of the cooking equipment, such as an operation panel, a knob and the like; may also be implemented in a server, such as a home cloud platform in communication with the cooking device; and can also be executed in terminal equipment, such as a control terminal of a smart phone and a smart home appliance. In the embodiment of the present disclosure, a description will be given of a description of a mode in which a processor of a cooking apparatus is used as an execution subject.
In step S601, in response to the detection instruction, first spectral information of a current period in the cooking apparatus acquired by the hyperspectral imaging system is obtained.
Step S602, according to the first spectrum information of the current period, determining first prompt information for adjusting the light source, and pushing.
Step S603, obtaining second spectrum information in the cooking apparatus collected by the hyperspectral imaging system, where the second spectrum information is spectrum information in the cooking apparatus collected in the previous period.
In step S604, in the case that the first spectrum information is weaker than the second spectrum information, a second prompt for light source adjustment is determined.
Here, by acquiring the second spectrum information, it is determined whether the user has changed or adjusted the light source according to the trend of the change represented by the first spectrum information and the second spectrum information. And determining second prompt information for adjusting the light source under the condition that the first spectrum information is weaker than the second spectrum information, namely the user does not change or adjust the light source more, so as to prompt the user to calibrate the spectrum information acquired by the hyperspectral imaging system or prompt the user processor to calibrate the spectrum information acquired by the hyperspectral imaging system automatically, thereby avoiding the influence of the performance reduction of the light source on the food material image acquired by the hyperspectral imaging system for judging the maturity.
The influence of the light source performance reduction on the spectrum imaging detection process can be reduced by correspondingly correcting the spectrum intensity of the light source because the light source brightness reduction has a larger influence on the overall spectrum intensity and a smaller influence on the spectrum characteristics.
Optionally, the determining of the second prompt information includes:
determining a corresponding light source correction factor according to a parameter difference value between preset spectrum information and first spectrum information;
correcting spectrum information of the light source according to the light source correction factor, and determining second prompt information;
the second prompt information is used for prompting the user of the spectral information of the corrected light source.
Here, the corresponding light source correction factor is determined according to the decreasing amplitude of the light source illumination performance of the current period to adjust the spectrum information of the light source.
Further, the larger the parameter difference between the preset spectrum information and the first spectrum information is, the larger the value of the corresponding light source correction factor is.
Specifically, determining the corresponding light source correction factor according to the parameter difference between the preset spectrum information and the first spectrum information includes:
determining a current difference interval corresponding to the parameter difference in a plurality of preset difference intervals;
under the condition that the current difference interval is a first difference interval, the light source correction factor is a first factor; under the condition that the current difference interval is a second difference interval, the light source correction factor is a second factor;
wherein the lower limit of the first difference interval is greater than the upper limit of the second difference interval, and the first factor is greater than the second factor.
Further, correcting spectral information of the light source according to the light source correction factor, comprising: taking the sum of the light source correction factor and the first spectrum information as the spectrum information of the corrected light source; or alternatively, the first and second heat exchangers may be,
taking the product of the light source correction factor and the first spectrum information as the spectrum information of the corrected light source.
Therefore, the corresponding spectrum information is corrected according to the condition of the performance reduction of the light source, and the influence of the performance reduction of the light source on the food material image collected by the hyperspectral imaging system for judging the maturity is avoided. Thereby guaranteeing the accuracy of detecting the maturity of the food material according to the spectral data of the food material. The scheme has high feasibility, the detection result is little influenced by external environment factors, and the result is accurate and visual, thereby achieving better user experience.
Fig. 7 is a schematic diagram of a prompting device for a cooking apparatus according to an embodiment of the present disclosure, which may be implemented in software, hardware or a combination of both.
As shown in fig. 7, the prompting device for a cooking apparatus includes: an information obtaining module 701 and a prompt pushing module 702; wherein, the information obtaining module 701 is configured to obtain, in response to the detection instruction, first spectral information of a current period in the cooking apparatus acquired by the hyperspectral imaging system; the hint pushing module 702 is configured to determine first hint information for light source adjustment according to first spectral information of a current period and push.
Fig. 8 is a schematic diagram of a prompting device for a cooking apparatus according to an embodiment of the disclosure.
As shown in fig. 8, the prompting device for a cooking apparatus includes:
a processor 800 and a memory 801, which may also include a communication interface (Communication Interface) 802 and a bus 803. The processor 800, the communication interface 802, and the memory 801 may communicate with each other via the bus 803. The communication interface 802 may be used for information transfer. The processor 800 may call logic instructions in the memory 801 to perform the prompting method for the cooking apparatus of the above-described embodiments.
Further, the logic instructions in the memory 801 described above may be implemented in the form of software functional units and sold or used as a separate product, and may be stored in a computer readable storage medium.
The memory 801 is a computer readable storage medium that may be used to store a software program, a computer executable program, and program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 800 executes the program instructions/modules stored in the memory 801 to perform the functional application and data processing, i.e., to implement the method for detecting the maturity of food materials in the above embodiments.
The memory 801 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the terminal device, etc. In addition, the memory 801 may include a high-speed random access memory, and may also include a nonvolatile memory.
The embodiment of the disclosure provides cooking equipment, which comprises a hyperspectral imaging system and the prompting device for the cooking equipment.
Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described prompting method for a cooking appliance.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described prompting method for a cooking device.
The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.
Embodiments of the present disclosure may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of a method according to embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium including: a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or a transitory storage medium.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in this application, the terms "comprises," "comprising," and/or "includes," and variations thereof, mean that the stated features, integers, steps, operations, elements, and/or components are present, but that the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof is not precluded. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (10)
1. A prompting method for a cooking apparatus, comprising:
responding to the detection instruction, and acquiring first spectrum information of the current period in the cooking equipment acquired by the hyperspectral imaging system;
and determining first prompt information for adjusting the light source according to the first spectrum information of the current period, and pushing the first prompt information.
2. The method according to claim 1, wherein determining the first hint information for light source adjustment according to the first spectral information of the current period includes:
obtaining a parameter difference value between preset spectrum information and the first spectrum information;
and determining a using time limit value of the light source according to the parameter difference value, and determining first prompt information for adjusting the light source, wherein the first prompt information corresponds to the using time limit value.
3. The method of claim 2, wherein determining the time limit for use of the light source based on the parameter difference comprises:
determining a current difference interval corresponding to the parameter difference in a plurality of preset difference intervals;
when the current difference interval is a first difference interval, the use time limit value of the light source is a first time limit value;
when the current difference interval is a second difference interval, the use time limit value of the light source is a second time limit value;
the lower limit value of the first difference value interval is larger than the upper limit value of the second difference value interval, and the first time limit value is smaller than the second time limit value.
4. The method according to claim 2, wherein determining the first hint information for light source adjustment corresponding to the time limit value includes:
determining first prompt information for adjusting the light source under the condition that the using time limit value is smaller than or equal to a replacement prompt threshold value;
the first prompt message is used for prompting a user to replace the light source.
5. The method of claim 4, wherein determining the first hint information for light source adjustment further comprises:
determining the prompting strength of the first prompting information according to the time limit difference value between the replacement prompting threshold value and the using time limit value;
wherein the time limit difference value and the prompt strength are in positive correlation.
6. The method according to any one of claims 1 to 5, wherein after determining the first prompt information for adjusting the light source according to the first spectral information of the current period, the method further comprises:
obtaining second spectrum information in the cooking equipment acquired by the hyperspectral imaging system, wherein the second spectrum information is the spectrum information in the cooking equipment acquired in the last period;
and determining second prompt information for adjusting the light source under the condition that the first spectrum information is weaker than the second spectrum information.
7. The method of claim 6, wherein the determining of the second hint information includes:
determining a corresponding light source correction factor according to a parameter difference value between the preset spectrum information and the first spectrum information;
correcting spectrum information of the light source according to the light source correction factor, and determining the second prompt information;
the second prompt information is used for prompting a user that the spectrum information of the light source is corrected.
8. A reminder device for a cooking appliance, comprising:
the information obtaining module is configured to respond to the detection instruction and obtain first spectrum information of the current period in the cooking equipment, which is acquired by the hyperspectral imaging system;
and the prompt pushing module is configured to determine first prompt information for adjusting the light source according to the first spectrum information of the current period and push the first prompt information.
9. A reminder device for a cooking apparatus comprising a processor and a memory storing program instructions, characterized in that the processor is configured to execute a reminder method for a cooking apparatus according to any one of claims 1 to 7 when the program instructions are run.
10. A cooking apparatus, comprising:
a hyperspectral imaging system; and
a reminder device for a cooking appliance according to claim 8 or 9.
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