CN111271936A - Intelligent refrigerator control method and related device - Google Patents

Abstract

The embodiment of the application discloses an intelligent refrigerator control method and a related device, wherein the method comprises the following steps: acquiring preset data in the intelligent refrigerator through the sensor equipment; analyzing, by the sensor device, the preset data to generate food status information for the food; and adjusting the storage mode in the intelligent refrigerator according to the food state information. Therefore, the embodiment of the application improves the intelligence and the safety of food stored in the intelligent refrigerator, reduces the deterioration probability of the food, further saves the food, and protects the body health of a user.

Description

Intelligent refrigerator control method and related device

technical field

The present application relates to the field of electronic technology, and in particular, to a control method for an intelligent refrigerator and a related device.

Background technique

With the advancement of electronic technology, people's living standards continue to improve. At present, the function of the refrigerator is basically to freeze, refrigerate, and preserve food, as well as relatively basic functions such as ice making and ice making water. If the food stored by the user is not handled or classified in time, it will lead to the deterioration of the food, which will affect people's health. healthy.

SUMMARY OF THE INVENTION

The embodiments of the present application provide a smart refrigerator control method and related device, which improve the intelligence and safety of the smart refrigerator for storing food, reduce the probability of food spoilage, further save food, and protect the health of users.

In a first aspect, an embodiment of the present application provides a method for controlling a smart refrigerator, which is applied to a smart refrigerator, and the smart refrigerator includes a sensor device; the method includes:

Collect preset data in the smart refrigerator through the sensor device;

Analyzing the preset data by the sensor device to generate food status information for the food;

The storage mode in the smart refrigerator is adjusted according to the food state information.

In a second aspect, an embodiment of the present application provides a smart refrigerator control device, which is applied to a smart refrigerator, and the smart refrigerator includes a sensor device; the smart refrigerator control device includes a processing unit and a communication unit, wherein,

The processing unit is configured to collect preset data in the smart refrigerator through the sensor device; analyze the preset data through the sensor device to generate food state information for food; adjust according to the food state information Storage mode in the smart refrigerator.

In a third aspect, embodiments of the present application provide a sensor device, including a controller, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be controlled by the above The above program includes instructions for executing steps in any method of the first aspect of the embodiments of the present application.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the computer program as described in the first embodiment of the present application. In one aspect some or all of the steps described in any method.

In a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute as implemented in the present application. Examples include some or all of the steps described in any method of the first aspect. The computer program product may be a software installation package.

It can be seen that, in the embodiment of the present application, the smart refrigerator first collects preset data in the smart refrigerator through the sensor device, and secondly, analyzes the preset data through the sensor device to generate food state information for food , and then adjust the storage mode in the smart refrigerator according to the food state information. It can be seen that the various data collected by the sensor device in the embodiment of the present application is further used to determine the current state of the food in the refrigerator according to the sensor device, which improves the intelligence and safety of the food stored in the smart refrigerator, reduces the deterioration probability of the food, and further It saves food and protects the health of users. It also avoids the single control mode of the refrigerator for food, thereby meeting the diverse needs of users.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1A is a schematic structural diagram of a method for implementing a smart refrigerator regulation and control provided by an embodiment of the present application;

FIG. 1B is a schematic structural diagram of a sensor device according to an embodiment of the application;

FIG. 1C is a product schematic diagram of a smart refrigerator provided by an embodiment of the application;

2A is a schematic flowchart of a method for controlling a smart refrigerator provided by an embodiment of the present application;

FIG. 2B is a schematic diagram of a scenario provided by an embodiment of the present application;

3 is a schematic flowchart of another method for controlling a smart refrigerator provided by an embodiment of the present application;

4 is a schematic structural diagram of a sensor device provided by an embodiment of the present application;

FIG. 5 is a block diagram of functional units of an intelligent refrigerator control device provided by an embodiment of the present application.

Detailed ways

In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

The terms "first", "second" and the like in the description and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes For other steps or units inherent to these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

The electronic devices involved in the embodiments of the present application may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices (such as smart watches, smart bracelets, pedometers, etc.), computing devices, or devices connected to wireless modems. Other processing equipment, and various forms of user equipment (User Equipment, UE), mobile station (MobileStation, MS), terminal equipment (terminal device) and so on. For the convenience of description, the devices mentioned above are collectively referred to as terminals.

The embodiments of the present application will be described in detail below.

In the traditional computer vision technology, the sensor collects information, then sends it to the background for processing, the signal processing module performs effect processing, and then transmits it from the signal processing module to the computer vision module for processing. Different from the existing mechanism of collecting data from conventional sensors and sending them to back-end devices, the sensor device provided by this application is a combination of a sensor and a computer vision module, as shown in FIG. 1A . A schematic diagram of the architecture for realizing the control method of the smart refrigerator. Among them, the sensor device can directly perform data processing locally, that is, the sensor device performs data collection, analysis and processing to obtain the recognition result, and performs specific control based on the recognition result, and the internal algorithm of the sensor device can be updated and optimized through the platform.

The sensor device can collect the information of a specific target through the information collection module, and the information collected by the information collection module is transmitted to the sensor/computer vision module; the sensor/computer vision module can process the information, and then perform a series of specific operations according to the processing results. . In addition, the sensor device can also transmit the collected raw information, or the information processed by the sensor/computer vision module to the background, and the background will further process the received data (effect processing).

Please refer to FIG. 1B . FIG. 1B is a schematic structural diagram of a sensor device provided by an embodiment of the application, wherein the sensor device includes an information acquisition module, a front-end processing module, and a computer vision chip, and the front-end processing module includes at least one sensor A unit, an analog signal processing circuit and an analog-to-digital conversion circuit; the computer vision chip includes a digital signal processor and at least one artificial intelligence processor.

Wherein, the at least one sensor unit is connected to the analog signal processing circuit, and is used for receiving measurement signals (that is, the information collected by the information collection module), converting the measurement signals into electrical signals, and transmitting the electrical signals to the analog signal processing circuit.

Wherein, the analog signal processing circuit is connected to the analog-to-digital conversion circuit, and is used for performing analog signal processing on the electrical signal, and transmitting the analog processing result to the analog-to-digital conversion circuit.

Wherein, the analog-to-digital conversion circuit is used for converting the analog processing result into a digital signal and outputting it.

Wherein, the digital signal processor is configured to perform digital signal processing according to the electrical signal generated by the front-end processing module, and output a digital signal processing result.

Wherein, the memory is used for storing the digital signal processing result, and the memory includes a shared area and n exclusive areas.

The shared area is used to store various types of information that need to be processed by specific signals (eg format conversion, effect processing) (for different application scenarios, different information needs to be collected for specific processing for the control of different devices). For example, taking image information as an example, the sensor device may include a pixel unit array (ie, a signal acquisition module), an analog signal processing circuit, an analog-to-digital conversion circuit, a control circuit, an interface circuit, and the like. External light illuminates the pixel unit array, a photoelectric effect occurs, and corresponding charges are generated in the pixel unit array, that is, the image sensing unit acquires the optical signal, converts the optical signal into an electrical signal, and performs analog signal processing on the electrical signal. Under the control of the controller, the analog processing result is converted into a digital signal, and the control circuit controls the digital signal to transmit the digital signal to the shared area of the memory through the interface circuit.

The exclusive area is used to store specific information, and the specific information may include information of a specific target (for example, for different targets, when controlling a specific device to be controlled, there is a specific and differentiated control), Specific types of information (for example, some collected information is special and can be directly used by an artificial intelligence processor without front-end processing). (In specific applications, the exclusive correspondence between the exclusive area and the artificial intelligence processor can also be designed).

Wherein, the artificial intelligence processor is configured to acquire specific information or digital signal processing results from the memory, and perform corresponding artificial intelligence processing operations according to the specific information or digital signal processing results.

Please refer to FIG. 1C . FIG. 1C is a product schematic diagram of a smart refrigerator provided by an embodiment of the present application, which is applied to a smart refrigerator 100 , and the smart refrigerator includes a sensor device 101 .

The sensor device may include other sensors 102 and cameras 103, and the number is not limited.

The above-mentioned other sensors 102 and cameras 103 may be integrated on the sensor device together, or may exist independently, which are not limited here.

Please refer to FIG. 2A . FIG. 2A is a schematic flowchart of a control method for a smart refrigerator provided by an embodiment of the present application, which is applied to a smart refrigerator, and the smart refrigerator includes a sensor device; as shown in the figure, the control method for a smart refrigerator includes:

Step 201: Collect preset data in the smart refrigerator through the sensor device.

The preset data may be spectral information, and the spectral information may include but not limited to spectral wavelength, spectral frequency band, spectral resolution, etc., which are not limited here.

Optionally, the smart refrigerator may be provided with a variety of sensors, specifically, an infrared sensor, a sound sensor, a sensor device, a humidity sensor, and the like may be provided. Infrared sensors can detect food within the sensing range and generate sensing information. The infrared sensor can detect the infrared spectrum in the environment, and the smart refrigerator can determine the quantity or type of food according to the infrared spectrum, and then realize the adjustment of the subsequent storage mode.

It should be noted that the smart refrigerator can install all the above-mentioned types of sensors at the same time, or can select some of them for installation.

Step 202, analyzing the preset data by the sensor device to generate food state information for the food.

Wherein, the food state information may include, but is not limited to, food type, food freshness, food dryness, and food maturity. Color spots on food, etc., are not limited here.

Step 203: Adjust the storage mode in the smart refrigerator according to the food state information.

Wherein, the storage module may include parameters for adjusting the storage of the smart refrigerator, and the storage parameters may include but are not limited to temperature, interval between foods, humidity, wind speed, etc., which are not limited here.

It can be seen that, in the embodiment of the present application, the smart refrigerator first collects preset data in the smart refrigerator through the sensor device, and secondly, analyzes the preset data through the sensor device to generate food state information for food , and then adjust the storage mode in the smart refrigerator according to the food state information. It can be seen that the various data collected by the sensor device in the embodiment of the present application is further used to determine the current state of the food in the refrigerator according to the sensor device, which improves the intelligence and safety of the food stored in the smart refrigerator, reduces the deterioration probability of the food, and further It saves food and protects the health of users. It also avoids the single control mode of the refrigerator for food, thereby meeting the diverse needs of users.

In a possible example, the analyzing the preset data by the sensor device to generate the food state information for the food includes: analyzing the preset data by the sensor device to obtain at least one spectral wavelength; In the sensor device, a spectral map is constructed according to the at least one spectral wavelength; the spectral map is analyzed by the sensor device to determine the food freshness of at least one food.

Wherein, if there is a spectral sensor in the sensor device, and spectral data is obtained, and the spectral data is analyzed, a variety of machine learning classification algorithms can be based on spectral features and appropriate feature transformation, and the above algorithms can include: K nearest neighbors ( K-NN), maximum likelihood classification, Bayesian, decision tree, extreme learning machine (ELM), support vector machine (SVM), sparse representation (SRC), etc., which are not uniquely limited here.

Wherein, in the analysis of the spectrogram to determine the food freshness of at least one food, the food freshness matching the spectrogram is determined by querying a preset database, and the preset database includes a mapping between the spectrogram and the food freshness relation.

The mapping relationship may be one-to-one, one-to-many, or many-to-many. There is no unique limitation here.

It can be seen that in this example, the sensor device further obtains a spectrogram according to the preset data collected by analysis, and then according to the detailed spectrogram, the freshness of the food in the current refrigerator can be accurately determined, which improves the intelligence of the smart refrigerator for storing food. and security.

In a possible example, the analyzing the preset data by the sensor device to generate the food state information for the food includes: analyzing the preset data by the sensor device to obtain the maturity of at least one food collecting the food odor concentration of the at least one food by the sensor device; forming at least one set of the maturity of the at least one food and the corresponding food odor concentration by the sensor device; using the sensor device query a preset database to obtain at least one target freshness corresponding to the at least one set, the preset database includes multiple sets, each set includes multiple food odor concentrations and multiple maturity levels, the preset database Also includes the mapping between collections and freshness.

The mapping relationship includes one-to-one, one-to-many, and many-to-many, which are not uniquely limited here.

It can be seen that in this example, the freshness is determined by analyzing the odor concentration and maturity of the food, which improves the intelligence and safety of the food stored in the smart refrigerator.

In a possible example, the adjusting the storage mode in the smart refrigerator according to the food status information includes: generating prompt information for the smart refrigerator according to the food status information; a control instruction; determining and adjusting the storage mode in the smart refrigerator according to the first control instruction.

For example, there are potatoes, corn, cabbage, and peanuts in the current refrigerator. From the freshness collected, we can find that the potatoes are one month away from spoiling, the corn is one week away, the cabbage is two weeks away, and the peanuts are spoiling. In another week, the prompt is to show the spoilage time and the foods that will spoil one by one, and remind users to eat corn and peanuts as soon as possible.

It can be seen that in this example, the smart refrigerator flexibly adjusts the storage mode of the refrigerator according to the food state, which improves the intelligence and diversity of the refrigerator.

In a possible example, the adjusting the storage mode in the smart refrigerator according to the food status information includes: generating prompt information for the smart refrigerator according to the food status information; transmitting the prompt information to terminal equipment; receiving a second control instruction sent from the terminal equipment; adjusting the storage mode in the smart refrigerator according to the second control instruction.

Wherein, the terminal device may be a mobile phone, a computer, a tablet, a watch, or a smart home with a display function, etc., which is not limited here.

Optionally, the transmitting the prompt information to the terminal device includes: collecting an aerial image in the smart refrigerator through the sensor device, where the aerial image includes an aerial video and an aerial image; The prompt information is transmitted to the terminal device.

For example, as shown in FIG. 2B , which is a schematic diagram of a scene, there is a peanut and a potato in the refrigerator, and the aerial image is collected by the camera, and the current picture of the peanut and potato is sent to the terminal device, and a prompt message is output, The prompt message is as follows: Peanuts: freshness 30%, stored for 2 weeks, please eat as soon as possible; Potatoes: freshness 60%, stored for one week, can be stored for three weeks.

It can be seen that in this example, the smart refrigerator sends the food status, and flexibly adjusts the storage mode of the refrigerator through other devices, which improves the intelligence and flexibility of the refrigerator, and the refrigerator mode can be changed intelligently through the remote space.

In a specific implementation, the generating prompt information for the smart refrigerator according to the food state information includes: collecting food image data of the smart refrigerator according to the camera through the sensor device; according to the food image The food type of at least one food is obtained from the data; according to the food type, the mutual ripening value of each food in the at least one food is determined; according to the food freshness and the ripening value, it is substituted into a preset food deterioration model to obtain the deterioration information of each food, where the deterioration information includes the deterioration time and the deterioration degree; and generate prompt information according to each food and the deterioration information corresponding to each food.

Optionally, before substituting into a preset food deterioration model according to the food freshness and the ripening value, the method further includes: acquiring a plurality of food freshness, ripening and deterioration according to a preset time interval. information; set each historical deterioration information in the plurality of deterioration information as a dependent variable, and set the food freshness and ripening degree settings as the first independent variable and the second independent variable; according to the first independent variable An independent variable, a second independent variable and the dependent variable generate a regression matrix of the food freshness, the ripening degree and the spoilage information; a multiple linear regression model is established according to the regression matrix to generate a preset spoilage of food Model.

It can be seen that in this example, the smart refrigerator can obtain spectral information and other information through a variety of sensors, and substitute it into the preset food deterioration model to accurately obtain the current deterioration of the food, which improves the flexibility and intelligence of the smart refrigerator's control lamps.

In a specific implementation, the generating the prompt information for the smart refrigerator according to the food state information includes: collecting food image data of the smart refrigerator according to the sensor device; obtaining at least one image data according to the food image data the food type of the food; obtain the temperature of the smart refrigerator; draw at least one food spoilage curve diagram according to the food category, temperature and the food freshness; collect the at least one food spoilage curve diagram into a curve table to generate prompt information.

It can be seen that in this example, the data is collected into a curve table, so that the prompt information is easy to understand and watch.

Consistent with the embodiment shown in FIG. 2A , please refer to FIG. 3 . FIG. 3 is a schematic flowchart of a control method for a smart refrigerator provided by an embodiment of the present application, which is applied to a smart refrigerator, and the smart refrigerator includes a sensor device; As shown, the intelligent refrigerator control method includes:

Step 301, the smart refrigerator collects preset data in the smart refrigerator through the sensor device.

Step 302, analyzing the preset data through the sensor device to obtain the maturity of at least one food.

Step 303 , collecting the food odor concentration of the at least one food by using the sensor device.

Step 304 , using the sensor device to form at least one set of the maturity of the at least one food and the corresponding odor concentration of the food.

Step 305 , query a preset database through the sensor device to acquire at least one target freshness corresponding to the at least one set.

Step 306: Generate prompt information for the smart refrigerator according to the food state information.

Step 307: Determine the first control instruction according to the prompt information.

Step 308: Determine and adjust the storage mode in the smart refrigerator according to the first control instruction.

It can be seen that, in the embodiment of the present application, the smart refrigerator first collects preset data in the smart refrigerator through the sensor device, and secondly, analyzes the preset data through the sensor device to generate food state information for food , and then adjust the storage mode in the smart refrigerator according to the food state information. It can be seen that the various data collected by the sensor device in the embodiment of the present application is further used to determine the current state of the food in the refrigerator according to the sensor device, which improves the intelligence and safety of the food stored in the smart refrigerator, reduces the deterioration probability of the food, and further It saves food and protects the health of users. It also avoids the single control mode of the refrigerator for food, thereby meeting the diverse needs of users.

In addition, the smart refrigerator can flexibly adjust the storage mode of the refrigerator according to the food state, which improves the intelligence and diversity of the refrigerator.

Consistent with the embodiments shown in FIGS. 2A and 3 , please refer to FIG. 4 . FIG. 4 is a schematic structural diagram of a sensor device 400 provided by an embodiment of the present application. The sensor device 400 includes an application processor 410 , A memory 420, a communication interface 430, and one or more programs 421, wherein the one or more programs 421 are stored in the above-mentioned memory 420 and configured to be executed by the above-mentioned application processor 410, the one or more programs 421 includes instructions for performing the following steps:

Collect preset data in the smart refrigerator through the sensor device;

Analyzing the preset data by the sensor device to generate food status information for the food;

The storage mode in the smart refrigerator is adjusted according to the food state information.

It can be seen that, in the embodiment of the present application, the smart refrigerator first collects preset data in the smart refrigerator through the sensor device, and secondly, analyzes the preset data through the sensor device to generate food state information for food , and then adjust the storage mode in the smart refrigerator according to the food state information. It can be seen that the various data collected by the sensor device in the embodiment of the present application is further used to determine the current state of the food in the refrigerator according to the sensor device, which improves the intelligence and safety of the food stored in the smart refrigerator, reduces the deterioration probability of the food, and further It saves food and protects the health of users. It also avoids the single control mode of the refrigerator on the food, thereby meeting the diverse needs of users.

In a possible example, in the aspect of analyzing the preset data by the sensor device to generate food state information for the food, the instructions in the program are specifically used to perform the following operations: analyzing by the sensor device Obtain at least one spectral wavelength from the preset data; construct a spectral map in the sensor device according to the at least one spectral wavelength; analyze the spectral map by the sensor device to determine the food freshness of at least one food.

In a possible example, in the aspect of analyzing the preset data by the sensor device to generate food state information for the food, the instructions in the program are further used to perform the following operations: by the sensor device Analyze the preset data to obtain the maturity of at least one food; collect the food odor concentration of the at least one food through the sensor device; use the sensor device to compare the maturity of the at least one food with the corresponding The food odor concentration forms at least one set; query a preset database through the sensor device to obtain at least one target freshness corresponding to the at least one set, the preset database includes multiple sets, and each set includes multiple For food smell concentration and multiple maturity levels, the preset database also includes a mapping relationship between the set and the freshness.

In a possible example, in terms of adjusting the storage mode in the smart refrigerator according to the food status information, the instructions in the program are specifically used to perform the following operations: prompt information of the smart refrigerator; determine a first control instruction according to the prompt information; determine and adjust the storage mode in the smart refrigerator according to the first control instruction.

In a possible example, in terms of adjusting the storage mode in the smart refrigerator according to the food status information, the instructions in the program are specifically used to perform the following operations: prompt information of the smart refrigerator; transmit the prompt information to a terminal device; receive a second control instruction sent from the terminal device; adjust the storage mode in the smart refrigerator according to the second control instruction.

In a possible example, in the aspect of generating the prompt information for the smart refrigerator according to the food state information, the instructions in the program are specifically used to perform the following operations: collecting the smart refrigerator through the sensor device according to the food image data; obtain the food type of at least one food; according to the food type, determine the mutual ripening value of each food in the at least one food; The ripening value is substituted into the preset food deterioration model to obtain the deterioration information of each food, the deterioration information includes deterioration time and deterioration degree; prompt information is generated according to each food and the deterioration information corresponding to each food.

In a possible example, in the aspect of generating the prompt information for the smart refrigerator according to the food state information, the instructions in the program are specifically used to perform the following operations: collecting the smart refrigerator through the sensor device obtain the food type of at least one food according to the food image data; obtain the temperature of the smart refrigerator; draw at least one food deterioration curve according to the food type, temperature and the freshness of the food; The at least one food spoilage curve graph is collected into a curve table, and prompt information is generated.

The foregoing mainly introduces the solutions of the embodiments of the present application from the perspective of the method-side execution process. It can be understood that, in order to realize the above-mentioned functions, the sensor device includes corresponding hardware structures and/or software modules for executing each function. Those skilled in the art should easily realize that the present application can be implemented in hardware or a combination of hardware and computer software with the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein. Whether a function is performed by hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

In this embodiment of the present application, the sensor device may be divided into functional units according to the foregoing method examples. For example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one control unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units. It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division, and other division methods may be used in actual implementation.

FIG. 5 is a block diagram of functional units of the smart refrigerator control device 500 involved in the embodiment of the present application. The smart refrigerator control device 500 is applied to a smart refrigerator, and is applied to a smart refrigerator, and the smart refrigerator includes sensor devices; the smart refrigerator control device 500 includes a processing unit 501 and a communication unit 502, wherein:

The processing unit 501 is configured to collect preset data in the smart refrigerator through the sensor device; analyze the preset data through the sensor device to generate food state information for food; according to the food state information Adjust the storage mode in the smart refrigerator.

Wherein, the smart refrigerator control device 500 may further include a communication unit 502 and a storage unit 503, where the storage unit 503 is used to store program codes and data of the electronic device. The processing unit 501 may be a processor, the communication unit 502 may be a touch screen display or a transceiver, and the storage unit 503 may be a memory.

It can be seen that, in the embodiment of the present application, the smart refrigerator first collects preset data in the smart refrigerator through the sensor device, and secondly, analyzes the preset data through the sensor device to generate food state information for food , and then adjust the storage mode in the smart refrigerator according to the food state information. It can be seen that the various data collected by the sensor device in the embodiment of the present application is further used to determine the current state of the food in the refrigerator according to the sensor device, which improves the intelligence and safety of the food stored in the smart refrigerator, reduces the deterioration probability of the food, and further It saves food and protects the health of users. It also avoids the single control mode of the refrigerator on the food, thereby meeting the diverse needs of users.

In a possible example, in the aspect of analyzing the preset data through the sensor device to generate food state information for food, the processing unit 501 is specifically configured to: analyze the preset data through the sensor device data to obtain at least one spectral wavelength; the at least one spectral wavelength in the sensor device constructs a spectral map; and the sensor device analyzes the spectral map to determine the food freshness of at least one food.

In a possible example, in the aspect of analyzing the preset data through the sensor device to generate food state information for food, the processing unit 501 is specifically configured to: analyze the preset data through the sensor device data to obtain the maturity of at least one food; collecting the food odor concentration of the at least one food through the sensor device; combining the maturity of the at least one food with the corresponding food odor concentration through the sensor device at least one set; query a preset database through the sensor device to obtain at least one target freshness corresponding to the at least one set, the preset database includes multiple sets, and each set includes multiple food odor concentrations and multiple A maturity level, the preset database further includes a mapping relationship between collections and freshness levels.

In a possible example, in terms of adjusting the storage mode in the smart refrigerator according to the food status information, the processing unit 501 is specifically configured to: generate a prompt for the smart refrigerator according to the food status information information; determining a first control instruction according to the prompt information; determining and adjusting a storage mode in the smart refrigerator according to the first control instruction.

In a possible example, in terms of adjusting the storage mode in the smart refrigerator according to the food status information, the processing unit 501 is specifically configured to: generate a prompt for the smart refrigerator according to the food status information information; transmitting the prompt information to a terminal device; receiving a second control instruction sent from the terminal device; adjusting the storage mode in the smart refrigerator according to the second control instruction.

In a possible example, in the aspect of generating prompt information for the smart refrigerator according to the food state information, the processing unit 501 is specifically configured to: collect food image data of the smart refrigerator through the sensor device ; Obtain the food type of at least one food according to the food image data; According to the food type, determine the mutual ripening value of each food in the at least one food; According to the freshness of the food and the ripening value Substitute into a preset food deterioration model to obtain the deterioration information of each food, where the deterioration information includes deterioration time and deterioration degree; and generate prompt information according to each food and the deterioration information corresponding to each food.

In a possible example, in the aspect of generating prompt information for the smart refrigerator according to the food state information, the processing unit 501 is specifically configured to: collect food image data of the smart refrigerator through the sensor device ; obtain at least one food type of food according to the food image data; obtain the temperature of the smart refrigerator; draw at least one food deterioration curve according to the food type, temperature and the freshness of the food; Metamorphic curve graphs are assembled into a curve table, and prompt information is generated.

Embodiments of the present application further provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to execute part or all of the steps of any method described in the above method embodiments , the above computer includes a mobile terminal.

Embodiments of the present application further provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute any one of the method embodiments described above. some or all of the steps of the method. The computer program product may be a software installation package, and the above-mentioned computer includes a mobile terminal.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Because in accordance with the present application, certain steps may be performed in other orders or concurrently. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the device embodiments described above are only illustrative. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical or other forms.

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

In addition, each functional unit in each embodiment of the present application may be integrated into one control unit, or each unit may exist physically alone, 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 may be implemented in the form of software functional units.

The above-mentioned integrated units, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art, or all or part of the technical solution, and the computer software product is stored in a memory, Several instructions are included to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the above-mentioned methods in the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash disk , Read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English: Random Access Memory, referred to as: RAM), magnetic disk or optical disk, etc.

The embodiments of the present application have been introduced in detail above, and the principles and implementations of the present application are described in this paper by using specific examples. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the present application; at the same time, for Persons of ordinary skill in the art, based on the idea of the present application, will have changes in the specific implementation manner and application scope. In summary, the contents of this specification should not be construed as limitations on the present application.

Claims (10)

1. The intelligent refrigerator control method is characterized by being applied to an intelligent refrigerator, wherein the intelligent refrigerator comprises a sensor device; the method comprises the following steps:

acquiring preset data in the intelligent refrigerator through the sensor equipment;

analyzing, by the sensor device, the preset data to generate food status information for the food;

and adjusting the storage mode in the intelligent refrigerator according to the food state information.

2. The method of claim 1, wherein analyzing the preset data by the sensor device to generate food status information for the food comprises:

analyzing the preset data through the sensor equipment to obtain at least one spectral wavelength;

constructing a spectrogram in the sensor device from the at least one spectral wavelength;

analyzing the spectrogram by the sensor device to determine food freshness of at least one food item.

3. The method of claim 1, wherein analyzing the preset data by the sensor device to generate food status information for the food comprises:

analyzing the preset data through the sensor equipment to obtain the maturity of at least one food;

collecting, by the sensor device, a food scent concentration of the at least one food item;

composing, by the sensor device, maturity in the at least one food item with the corresponding food item odor concentration into at least one set;

and inquiring a preset database through the sensor equipment to acquire at least one target freshness corresponding to the at least one set, wherein the preset database comprises a plurality of sets, each set comprises a plurality of food odor concentrations and a plurality of maturity, and the preset database further comprises a mapping relation between the sets and the freshness.

4. The method of any one of claims 1-3, wherein the adjusting the storage mode in the smart refrigerator according to the food status information comprises:

generating prompt information for the intelligent refrigerator according to the food state information;

determining a first control instruction according to the prompt information;

and determining and adjusting the storage mode in the intelligent refrigerator according to the first control instruction.

5. The method of any one of claims 1-3, wherein the adjusting the storage mode in the smart refrigerator according to the food status information comprises:

generating prompt information for the intelligent refrigerator according to the food state information;

transmitting the prompt information to terminal equipment;

receiving a second control instruction sent by the terminal equipment;

and adjusting the storage mode in the intelligent refrigerator according to the second control instruction.

6. The method of claim 4 or 5, wherein the generating of the prompt message for the intelligent refrigerator according to the food status information comprises:

acquiring food image data of the intelligent refrigerator through the sensor equipment;

obtaining at least one food category of food from the food image data;

determining a mutually ripening value of each food in the at least one food according to the food category;

substituting a preset food deterioration model according to the freshness of the food and the ripening value to obtain deterioration information of each food, wherein the deterioration information comprises deterioration time and deterioration degree;

and generating prompt information according to each food and the deterioration information corresponding to each food.

7. The method of claim 4 or 5, wherein the generating of the prompt message for the intelligent refrigerator according to the food status information comprises:

acquiring food image data of the intelligent refrigerator through the sensor equipment;

obtaining at least one food category of food from the food image data;

acquiring the temperature of the intelligent refrigerator;

plotting at least one food spoilage graph as a function of the food type, temperature, and food freshness;

and collecting the at least one food deterioration curve graph into a curve table to generate prompt information.

8. The intelligent refrigerator control device is applied to an intelligent refrigerator, and the intelligent refrigerator comprises a sensor device; the intelligent refrigerator control device comprises a processing unit and a communication unit, wherein,

the processing unit is used for acquiring preset data in the intelligent refrigerator through the sensor equipment; analyzing, by the sensor device, the preset data to generate food status information for the food; and adjusting the storage mode in the intelligent refrigerator according to the food state information.

9. A sensor device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.

Images