CN114035439A - Kitchen intelligent control method and system - Google Patents
Kitchen intelligent control method and system Download PDFInfo
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- CN114035439A CN114035439A CN202111309048.7A CN202111309048A CN114035439A CN 114035439 A CN114035439 A CN 114035439A CN 202111309048 A CN202111309048 A CN 202111309048A CN 114035439 A CN114035439 A CN 114035439A
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 235000013305 food Nutrition 0.000 claims abstract description 363
- 239000000463 material Substances 0.000 claims abstract description 343
- 238000001514 detection method Methods 0.000 claims abstract description 168
- 239000007789 gas Substances 0.000 claims description 225
- 238000012544 monitoring process Methods 0.000 claims description 103
- 238000012545 processing Methods 0.000 claims description 10
- 238000012216 screening Methods 0.000 claims description 3
- 230000006866 deterioration Effects 0.000 description 10
- 210000000352 storage cell Anatomy 0.000 description 10
- 230000008859 change Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
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- 244000061458 Solanum melongena Species 0.000 description 4
- 235000002597 Solanum melongena Nutrition 0.000 description 4
- 230000003993 interaction Effects 0.000 description 3
- 238000005303 weighing Methods 0.000 description 3
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 description 2
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- 230000036541 health Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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Abstract
The application relates to a kitchen intelligent control method and system, relating to the technical field of kitchen intelligent control; it includes: acquiring and storing refrigerator food material information; sending a detection signal to a gas component detection module arranged in each refrigerator storage grid according to a preset detection sequence every preset time, so that the gas component detection module detects gas component data in the corresponding refrigerator storage grid; receiving all gas component data in the current detection time point, and generating and storing detection information based on a preset detection sequence; if the preset deteriorated gas exists in the gas component data and the gas concentration value of the deteriorated gas in the gas component data is larger than the corresponding preset concentration threshold value, determining the food material corresponding to the gas component data as a deteriorated food material, adding detection information corresponding to the deteriorated food material to a preset deteriorated food material list, and displaying the deteriorated food material list. The refrigerator food freshness detection method and device have the advantages that food freshness in the refrigerator is detected, and user experience is improved.
Description
Technical Field
The application relates to the technical field of intelligent control of kitchens, in particular to an intelligent control method and system for kitchens.
Background
With the development of technology, the demand of users on intelligent kitchens is increasing day by day, and kitchen intelligent control systems come up at the same time; the kitchen intelligent control system is a system for automatically controlling various electrical equipment in a kitchen according to a user instruction so as to improve the user experience.
The current kitchen intelligent control system comprises a user interaction module, a main control module and an execution module, wherein the user interaction module is used for receiving instructions sent by a user, and sends the above instructions to the main control module, the user interaction module can be a pressure sensor or an acoustic sensor, thereby being capable of receiving touch control instructions or voice instructions from users, the main control module is used for determining operation commands corresponding to the instructions according to the received instructions, and sends the operation command to the execution module, the execution module is electrically connected with various electrical equipment in the kitchen, for executing corresponding operation commands to the electrical equipment, such as controlling the opening and closing of a refrigerator door, controlling the on and off of kitchen light, controlling a video player to play videos, controlling a music player to play music and the like, thereby improve the convenience that the electrical apparatus used, increase the entertainment function in kitchen, improve user experience.
In view of the above-mentioned related art, the inventors found that at least the following problems exist in the art: the refrigerator can play the effect of fresh-keeping edible material as a kitchen appliance, and after the user put into the built-in refrigerator of refrigerator with edible material and put the thing check in, the refrigerator can't manage and control the fresh-keeping degree of edible material, easily makes the user influence healthy because of eating the not fresh edible material by mistake.
Disclosure of Invention
In order to improve the technical problem that freshness of food materials cannot be controlled by a refrigerator in the related art, and further the body health of a user is affected due to the fact that the user eats the food materials which are not fresh by mistake, the application provides an intelligent kitchen control method and system.
In a first aspect, the application provides an intelligent kitchen control method, which adopts the following technical scheme:
an intelligent kitchen control method comprises the following steps:
acquiring and storing refrigerator food material information, wherein the refrigerator food material information at least comprises an object placing grid number corresponding to each refrigerator object placing grid and a food material name of a food material stored in each refrigerator object placing grid;
sending a detection signal to a gas component detection module arranged in each refrigerator storage grid according to a preset detection sequence every preset time, so that the gas component detection module detects gas component data in the corresponding refrigerator storage grid at the current detection time point, wherein the gas component data comprise gas component names and corresponding gas concentration values;
receiving all gas component data in the current detection time point, and generating and storing detection information based on a preset detection sequence, wherein the detection information at least comprises the detection time point, the storage grid number, the gas component data and the food material name;
if the preset deteriorated gas exists in the gas component data and the gas concentration value of the deteriorated gas in the gas component data is larger than the preset concentration threshold value corresponding to the deteriorated gas, determining the food materials in the storage grid of the refrigerator corresponding to the gas component data as deteriorated food materials, adding detection information corresponding to the deteriorated food materials into a preset deteriorated food material list, and displaying the deteriorated food material list.
Optionally, the method further includes:
if the gas concentration values corresponding to all preset deteriorated gases in the gas component data are not greater than the preset concentration threshold of the corresponding deteriorated gases, determining the food materials in the storage grid of the refrigerator corresponding to the gas component data as non-deteriorated food materials, and calculating the remaining time corresponding to the distance between the non-deteriorated food materials and the deteriorated food materials according to the detection information corresponding to the non-deteriorated food materials at the previous detection time point;
and adding the residual duration and the detection information corresponding to the non-metamorphic food materials into a preset non-metamorphic food material list, and displaying the non-metamorphic food material list.
Optionally, the method further includes:
receiving monitoring data monitored by a first monitoring module preset in each refrigerator storage grid, and determining whether the refrigerator storage grid corresponding to the monitoring data is empty or not according to the monitoring data;
and if the object storage grid of the target refrigerator is empty, determining and displaying the number corresponding to the object storage grid of the target refrigerator.
Optionally, the acquiring and storing refrigerator food material information includes:
receiving monitoring data monitored by a first monitoring module preset in each refrigerator storage grid, and determining whether the refrigerator storage grid corresponding to the monitoring data is empty or not based on the monitoring data;
sending a monitoring signal to a second monitoring module preset in an unoccupied refrigerator storage grid so that the second monitoring module can shoot a first food material image of the food material;
receiving the first food material image, and determining the food material name which is not stored in the vacant refrigerator storage grid correspondingly based on the first food material image;
and generating and storing refrigerator food material information according to the food material name and the storage grid number of the storage grid of the refrigerator which is not empty.
Optionally, the acquiring and storing refrigerator food material information includes:
the method comprises the steps of obtaining and storing refrigerator food material information input by a user, wherein the refrigerator food material information at least comprises an object placing grid number corresponding to each refrigerator object placing grid and a food material name of a food material stored in each refrigerator object placing grid;
sending a monitoring signal to a second monitoring module preset in the refrigerator storage grid corresponding to the refrigerator food information, so that the second monitoring module shoots a second food material image of the food material stored in the refrigerator storage grid;
receiving a second food material image sent by the second monitoring module, and determining a standard name of a food material corresponding to the second food material image;
and comparing the standard name with the food material name in the corresponding refrigerator food material information, and starting a warning module on the corresponding refrigerator storage grid to inform a user that the food material placement position is wrong when the food material name is inconsistent with the corresponding standard name.
Optionally, every preset duration, send detecting signal to the built-in gas composition detection module of thing check is put to each refrigerator according to preset detection order to make gas composition detection module at current detection time point, detect the corresponding refrigerator and put the gas composition data that thing check correspond, include:
acquiring the vacant numbers of all vacant refrigerator storage grids corresponding to the current detection point every preset time length, and screening all the vacant numbers from all the preset refrigerator storage grid numbers to generate all numbers to be detected;
according to a preset detection sequence, a detection signal is sent to the gas component detection modules in the storage grids of the refrigerator corresponding to the numbers to be detected in sequence, so that the gas component detection modules detect gas component data corresponding to the storage grids of the refrigerator corresponding to the gas component detection modules.
Optionally, the method further includes:
selecting any one or more than one food materials from the list of the non-deteriorated food materials, taking the food material names of the food materials as key words for searching, and generating menu information containing the key words, wherein the menu information at least comprises menu names and food material names corresponding to the key words.
In a second aspect, the present application provides a kitchen intelligent control system, including:
the food material information acquisition module is used for acquiring and storing refrigerator food material information, wherein the refrigerator food material information at least comprises an object placing grid number corresponding to each refrigerator object placing grid and a food material name of a food material stored in each refrigerator object placing grid;
the gas component detection module is used for sending detection signals to the gas component detection module arranged in each refrigerator storage grid according to a preset detection sequence every preset time so that the gas component detection module detects gas component data in the corresponding refrigerator storage grid at the current detection time point, and the gas component data comprises gas component names and corresponding gas concentration values;
the detection information generation module is used for receiving all gas component data in the current detection time point and generating and storing detection information based on a preset detection sequence, wherein the detection information at least comprises the detection time point, a storage grid number, the gas component data and a food material name;
and the deteriorated food material processing module is used for determining the food materials in the storage grid of the refrigerator corresponding to the gas component data as deteriorated food materials when the preset deteriorated gas exists in the gas component data and the corresponding gas concentration value of the deteriorated gas in the gas component data is greater than the preset concentration threshold corresponding to the deteriorated gas, adding the detection information corresponding to the deteriorated food materials to a preset deteriorated food material list, and displaying the deteriorated food material list.
In a third aspect, the present application provides a kitchen intelligent control platform, which includes a processor and a memory, where the memory stores at least one instruction, at least one program, a set of codes, or a set of instructions, and the at least one instruction, the at least one program, or the set of codes is loaded and executed by the processor to implement a kitchen intelligent control method according to any one of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, having at least one instruction, at least one program, a set of codes, or a set of instructions stored therein, which is loaded and executed by a processor to implement a kitchen intelligent control method according to any one of the first aspect
In summary, the present application includes at least one of the following beneficial technical effects:
the gas composition data in each refrigerator storage grid storing food materials in the refrigerator are regularly detected through the intelligent kitchen control platform, whether the food materials deteriorate is judged according to the gas composition data, the deteriorated food materials are regularly displayed, the remaining time of the deteriorated food materials away from the deteriorated food materials is long, a menu can be provided according to the not deteriorated food materials, the user experience degree is improved, and the condition that the body of a user is uncomfortable due to the fact that the user eats the deteriorated food materials by mistake is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flow chart of an intelligent kitchen control method in an embodiment.
Fig. 2 is a block diagram of an embodiment of a kitchen intelligent control platform.
Description of reference numerals: 201. a food material information acquisition module; 202. a gas component detection module; 203. a detection information generation module; 204. rotten food material processing module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The embodiment of the application discloses an intelligent kitchen control method. Referring to fig. 1, the kitchen intelligent control method is used for intelligently controlling electrical equipment in a kitchen, so as to provide convenience service for a user when the user uses the electrical equipment; specifically, the method can detect freshness of food materials stored in the refrigerator regularly, since the food materials generate specific gas in a deterioration process, for example, eggplants generate ethylene in the deterioration process, aquatic food materials generate ammonia gas after deterioration, and the like, the freshness of the food materials is judged by identifying gas components in an environment where the food materials are located and concentration data corresponding to each gas component, if the specific gas components exist, the food materials start to deteriorate, the freshness is reduced, and then the freshness is judged according to the concentration data of the specific gas, the larger the concentration of the specific gas is, the lower the corresponding freshness is, and when the concentration of the specific gas is greater than a preset concentration threshold, the deterioration of the corresponding food materials is judged.
The method is used for determining and displaying the food which is not fresh (namely deteriorated) and the remaining time of the non-deteriorated food from deterioration when the specific gas exists, so that a user can conveniently know the freshness of the food, reasonably use the food and reduce the influence on the health caused by eating the deteriorated food by mistake. The above method can be implemented by a kitchen intelligent control platform, which includes a processor and a memory, and the following will describe in detail a specific processing flow of the kitchen intelligent control system implementing the kitchen intelligent control method with reference to fig. 1, and the contents are as follows:
in implementation, the kitchen intelligent control platform acquires refrigerator food material information, the refrigerator food material information is used for recording a preset refrigerator storage grid in a refrigerator and a corresponding relation between food materials stored in the refrigerator storage grid, the refrigerator storage grid is a sealable container which is placed in a space corresponding to each equal portion after a space for storing food materials in the refrigerator is divided into a plurality of equal portions, the refrigerator storage grid can be numbered in an Arabic number mode in advance, when food materials are stored in the refrigerator storage grid, the kitchen intelligent control platform can acquire the refrigerator food material information, the refrigerator food material information comprises a refrigerator storage grid number and food material names of the food materials stored in the refrigerator storage grid corresponding to the refrigerator storage grid number.
Optionally, the obtaining manner of the refrigerator food information by the intelligent kitchen control platform may be automatically obtained by the intelligent kitchen control platform, specifically, step 101 includes the following processing:
receiving monitoring data monitored by a first monitoring module preset in each refrigerator storage grid, and determining whether the refrigerator storage grid corresponding to the monitoring data is empty or not based on the monitoring data;
sending a detection signal to a second monitoring module preset in an unoccupied refrigerator storage grid so that the second monitoring module can shoot a first food material image of the food material;
receiving a first food material image, and determining the name of a food material which is not stored in an empty refrigerator storage grid correspondingly based on the first food material image;
and generating and storing refrigerator food material information according to the food material name and the storage grid number of the storage grid of the refrigerator which is not empty.
In the implementation, first monitoring module and second monitoring module are all installed to each refrigerator thing check inner wall, have in advance in the intelligent control platform to store the refrigerator and put the corresponding relation between thing check serial number, first monitoring module and the second monitoring module three.
The first monitoring module can be a correlation photoelectric switch, the kitchen intelligent control platform receives monitoring data sent by the correlation photoelectric switch in real time, the monitoring data comprise first monitoring data and second monitoring data, if food materials are not stored in the storage lattices of the refrigerator, the receiver of the correlation photoelectric switch can receive light sent by the transmitter, the kitchen intelligent control platform receives the first monitoring data of the correlation photoelectric switch, when the food materials are placed in the storage lattices of the refrigerator, the light sent by the transmitter of the correlation photoelectric switch is blocked by the food materials, the receiving end cannot receive the light, and the kitchen intelligent control platform receives the second monitoring data sent by the correlation photoelectric switch; first monitoring module still can be for weighing transducer, and weighing transducer can install in the inside diapire that the thing check were put to the refrigerator, and when eating the material and put the thing check into the refrigerator, the material of eating is placed at weighing transducer upper surface, and the monitoring data that first monitoring module detected this moment then is weight data.
The kitchen intelligent control platform determines whether the refrigerator storage grid corresponding to the monitoring data is empty or not according to the received monitoring data; if the kitchen intelligent control platform receives the first monitoring data, the corresponding refrigerator storage grid is empty, and if the kitchen intelligent control platform receives the second monitoring data, the corresponding refrigerator storage grid is not empty; when the monitoring data is weight data, the kitchen intelligent control platform compares the received monitoring data with preset data, if the monitoring data is smaller than or equal to the preset weight data, the corresponding refrigerator storage cell is indicated to be vacant, and if the monitoring data is larger than the preset weight data, the corresponding refrigerator storage cell is not indicated to be vacant.
When receiving second monitoring data, the intelligent kitchen control platform sends a monitoring signal to a second monitoring module in a refrigerator storage grid corresponding to the second monitoring data, the second monitoring module can be a camera, when receiving the monitoring signal, the second monitoring module shoots a first food material image in the refrigerator storage grid corresponding to the second monitoring data, and because food materials are stored in the refrigerator storage grid corresponding to the second monitoring module, the first food material image shot by the second monitoring module contains the stored food material image, then the intelligent kitchen control platform receives the first food material image returned by the second monitoring module, compares the first food material image with a reference image in a preset food material image library, wherein standard names and corresponding reference images of all food materials are stored in the food material image library, the intelligent kitchen control platform matches the reference image according to the first food material image and determines the corresponding name from the food material image library, and then generating refrigerator food material information, wherein the refrigerator food material information comprises the storage grid numbers of the storage grids of the non-vacant refrigerators and the food material names of the food materials stored in the storage grids of the non-vacant refrigerators.
A food material storage list is preset in the intelligent control platform of the kitchen and used for recording the vacancy conditions of all refrigerator storage lattices of the refrigerator in the current time in real time and the food material names of food materials stored in the refrigerator storage lattices which are not vacant; correspondingly, the food material storage list comprises a storage grid number field and a food material name field. If the storage lattice of the refrigerator is empty, the intelligent control platform of the kitchen replaces the content of the food material name field corresponding to the storage lattice of the empty refrigerator into null in the food material storage list; for the refrigerator storage lattices which are not vacant, the kitchen intelligent control platform replaces the food material name field content corresponding to the refrigerator storage lattices which are not vacant with the food material names in the refrigerator food material information according to the refrigerator food material information; if the content stored in the food material name field corresponding to the storage grid number 1 in the food material storage list is radish, if the kitchen intelligent control platform acquires the refrigerator food material information with the storage grid number 1 and the food material name of eggplant, the kitchen intelligent control platform replaces the content of the food material name field corresponding to the storage grid number 1 from radish to eggplant to update the content of the food material storage list.
Optionally, the kitchen intelligent control platform may acquire the refrigerator food information in a manner of manual input by a user, and specifically, step 101 includes the following processing:
the method comprises the steps of obtaining and storing refrigerator food material information input by a user, wherein the refrigerator food material information at least comprises an object placing grid number corresponding to each refrigerator object placing grid and a food material name of a food material stored in each refrigerator object placing grid;
sending a monitoring signal to a second monitoring module preset in a refrigerator storage grid corresponding to the refrigerator food information, so that the second monitoring module shoots a second food material image of the food material stored in the refrigerator storage grid;
receiving a second food material image sent by a second monitoring module, and determining a standard name of a food material corresponding to the second food material image;
and comparing the standard name with the food material name in the corresponding refrigerator food material information, and starting a warning module on the corresponding refrigerator storage grid to inform a user of wrong food material placement position when the food material name is inconsistent with the corresponding standard name.
In implementation, a touch display screen is preset on the intelligent kitchen control platform, the touch display screen displays the storage grid numbers and the food material name input frames, and input buttons are ended, each food material storage grid number corresponds to one food material name input frame and one input ending button, and when a user touches the food material name input frames, the intelligent kitchen control platform receives input instructions of the user and pops up an input keyboard to allow the user to input food material names; when the user finishes inputting the food material name and clicks the end inputting button, the kitchen intelligent control platform receives an end inputting instruction of the user, determines the storage grid number corresponding to the input food material name according to the position clicked by the user on the touch display screen, and generates refrigerator food material information, wherein the refrigerator food material information comprises the food material name and the corresponding storage grid number; and then, the kitchen intelligent control platform updates the preset food material storage list according to the refrigerator food material information, wherein the specific updating mode is already described above, and is not described herein again.
Then, in order to ensure the accuracy of the corresponding relationship between the storage grid numbers and the food material names in the food material storage list, when the kitchen intelligent control platform acquires the refrigerator food material information, the kitchen intelligent control platform sends a monitoring signal to a second monitoring module arranged in the refrigerator storage grid corresponding to the storage grid numbers in the refrigerator food material information, the second monitoring module can be a camera, so that the second monitoring module shoots a second food material image, and the second food material image is an image containing the food materials in the refrigerator storage grid where the second monitoring module is located; then, the intelligent kitchen control platform determines the standard name of the food material corresponding to the second food material image according to the second food material image and a preset food material image library, compares the standard name with the food material name in the refrigerator food material information, and when the food material name is inconsistent with the standard name, indicates that the placement position of the food material is wrong.
in implementation, the preset time duration may be four hours, a detection time point is reached every other preset time duration, the detection time points may be recorded in a form of year, month and day, and the preset detection sequence may be an order from small to large according to the number of the storage compartments of the refrigerator; each refrigerator storage grid is provided with a gas component detection module in a corresponding mode, each gas component detection module is in communication connection with the kitchen intelligent control platform, the communication address of each gas component detection module is stored in the kitchen intelligent control platform in advance, and the corresponding relation between the refrigerator storage grid number and the gas component detection module communication address is achieved.
The gas composition detection module can be an electronic nose, and the electronic nose can be pre-installed on the inner wall of the storage grid of the corresponding refrigerator. The food materials can generate specific gas in the deterioration process, for example, eggplants can generate ethylene in the deterioration process, aquatic food materials can generate ammonia gas after deterioration, and the like, so that when the kitchen intelligent control platform reaches a detection time point, detection signals can be sent to the gas component detection module according to a preset detection sequence, so that the gas component detection module can detect gas component data of the food materials in the refrigerator storage grid, namely, the gas component names in the refrigerator storage grid and the gas concentration of each gas component are detected through the electronic nose, so that whether the food materials deteriorate or not can be judged by the subsequent kitchen intelligent control platform, the gas component data refer to the gas components in the refrigerator storage grid and the corresponding gas concentration values detected by the electronic nose, and the gas component data comprise the gas component names and the gas concentration values corresponding to the gas component names.
In implementation, the kitchen intelligent control platform receives all gas component data in the current detection time point, then the kitchen intelligent control platform determines the corresponding relation between the storage grid number and the food material name according to a preset detection sequence, or according to the corresponding relation between the communication address of the gas component detection module and the storage grid number and the food material storage list, and finally determines the storage grid number and the food material name corresponding to each gas component data.
In addition, all specific gas names generated when various food materials deteriorate and corresponding concentration thresholds are prestored in the intelligent kitchen control platform; the kitchen intelligent platform compares all specific gas names with all gas component names in the gas component data one by one, and when the target specific gas name does not exist in the gas component data, the target specific gas name is added into the gas component data, and a gas concentration value corresponding to the target specific gas name is set to be 0; the target specific gas name is a specific gas name which does not exist in the gas composition data; and finally, generating detection information by the kitchen intelligent control platform, wherein the detection information is used for representing gas component detection information in the storage grid of the refrigerator, and the detection information comprises corresponding detection time points, storage grid numbers, gas component data and food material names.
In implementation, the deteriorated gas is the specific gas generated in the food material deterioration process, after the kitchen intelligent control platform generates the detection information, whether the food material stored in the refrigerator storage grid corresponding to the detection information is deteriorated or not is determined according to the gas component data in each detection information, and the specific determination mode is as follows:
the intelligent kitchen control platform compares a preset concentration threshold corresponding to each specific gas with a gas concentration value corresponding to the specific gas in gas component data according to the name of the specific gas, determines the food material in a storage grid of a refrigerator corresponding to the gas component data as deteriorated food material if the gas concentration value corresponding to any specific gas in the gas component data is larger than the preset concentration threshold corresponding to the specific gas, and adds detection information corresponding to the deteriorated food material to a deteriorated food material list; the spoiled food material list is used for displaying relevant information of spoiled food materials, so that a user can process the spoiled food materials in time, and the food is prevented from being eaten by mistake. The deteriorated food material list is always displayed on a touch display screen preset by the intelligent kitchen control platform, and the deteriorated food material list can be updated and displayed when the intelligent kitchen control platform adds information of any deteriorated food material to the deteriorated food material list each time.
Optionally, the kitchen intelligent control method further includes the following processing:
if the gas concentration values corresponding to all preset deteriorated gases in the gas component data are not greater than the preset concentration threshold of the corresponding deteriorated gases, determining the food materials in the storage grid of the refrigerator corresponding to the gas component data as non-deteriorated food materials, and calculating the remaining time corresponding to the distance between the non-deteriorated food materials and the deteriorated food materials according to the detection information corresponding to the non-deteriorated food materials at the previous detection time point;
and adding the residual time and the detection information corresponding to the non-metamorphic food materials into a preset non-metamorphic food material list, and displaying the non-metamorphic food material list.
In implementation, if the gas concentration values of all deteriorated gases in the gas component data are less than or equal to the preset concentration threshold of the corresponding deteriorated gases, the kitchen intelligent control platform determines the food materials stored in the storage grid of the refrigerator corresponding to the gas component data as non-deteriorated food materials, then respectively calculates the change values of the gas concentration values of all deteriorated gases in the gas component data relative to the previous detection time point according to the detection information of the non-deteriorated food materials corresponding to the previous detection time point, further determines the change speed value of the gas concentration value of the deteriorated gases based on the change values and the time interval (namely, the preset time length) of the adjacent detection time points, the change speed value = change value/preset time length, and calculates the time length for the gas concentration value of the deteriorated gases to reach the preset concentration threshold according to the change speed value and the gas concentration value corresponding to the current detection time point, duration = (preset concentration threshold-gas concentration value corresponding to current time point)/change speed value.
If multiple deteriorated gases exist in the gas component data corresponding to a single refrigerator storage grid, the kitchen intelligent control platform respectively calculates the time length when the gas concentration value corresponding to each deteriorated gas reaches a preset concentration threshold value, and then determines the shortest determined time length in all the time lengths as the preset time length; if only one deteriorated gas exists in the gas component data, the intelligent kitchen control platform calculates the time length corresponding to the deteriorated gas and determines the preset time length as the preset time length, finally, the intelligent kitchen control platform adds the remaining time length corresponding to the non-deteriorated food and the corresponding detection information to a preset non-deteriorated food list and displays the non-deteriorated food list, the non-deteriorated food list is used for identifying information corresponding to all non-deteriorated foods stored in the refrigerator, the non-deteriorated food list is displayed on a touch display screen preset by the intelligent kitchen control platform, and the non-deteriorated food list is updated and displayed when the intelligent kitchen control platform adds the information of one non-deteriorated food to the deteriorated food list each time.
Optionally, in order to facilitate the user to know the remaining space in which food can be stored in the refrigerator in time, and thereby determine whether food needs to be replenished according to the remaining space, and the amount of food needs to be replenished, the kitchen intelligent control platform can determine and display the number of the storage cells of all vacant refrigerators in the refrigerator in real time, and accordingly, the kitchen intelligent control platform further comprises the following processing:
receiving monitoring data monitored by a first monitoring module preset in each refrigerator storage grid, and determining whether the refrigerator storage grid corresponding to the monitoring data is empty or not according to the monitoring data;
and if the object storage grid of the target refrigerator is empty, determining and displaying the number corresponding to the object storage grid of the target refrigerator.
In implementation, first monitoring module can be gravity sensor or correlation formula photoelectric switch, acquires the detection data that corresponds in the refrigerator storage grid through first detection module, makes kitchen intelligent control platform confirm whether the method of the vacant of corresponding refrigerator storage grid has already been elucidated above according to the monitoring data again, and no longer gives any unnecessary details here, when kitchen intelligent control platform confirms that there is target refrigerator storage grid vacant, kitchen intelligent control platform then confirms and shows the serial number of above-mentioned target refrigerator storage grid, and target refrigerator storage grid is vacant refrigerator storage grid.
Optionally, when the gas component detection module detects the gas component in the storage compartment of the corresponding refrigerator, in order to improve the detection efficiency, the empty storage compartment of the refrigerator may be removed in advance, and accordingly, step 102 may include the following sub-steps:
acquiring the vacant numbers of all vacant refrigerator storage grids corresponding to the current detection point every preset time length, and screening all the vacant numbers from all the preset refrigerator storage grid numbers to generate all numbers to be detected;
according to a preset detection sequence, a detection signal is sent to the gas component detection modules in the storage grids of the refrigerator corresponding to the numbers to be detected in sequence, so that the gas component detection modules detect gas component data corresponding to the storage grids of the refrigerator corresponding to the gas component detection modules.
In implementation, when the preset time is set every other, namely, when the detection time point is reached, the kitchen intelligent control platform firstly determines whether the vacant refrigerator storage lattices exist through the first monitoring module, if the vacant refrigerator storage lattices exist, the kitchen intelligent control platform determines the storage lattice numbers of the vacant refrigerator storage lattices, defines the vacant storage lattice numbers as the vacant numbers, then rejects the vacant numbers from all the preset storage lattice numbers according to all the preset storage lattice numbers, and defines the rejected storage lattice numbers as the numbers to be detected.
And then, the kitchen intelligent control platform sequentially sends detection signals to the gas component detection modules in the storage grids of the refrigerator corresponding to the numbers to be detected according to the sequence from small to large of the numbers to be detected, so that the gas component detection modules detect gas component data corresponding to the storage grids of the refrigerator.
Optionally, the intelligent kitchen control method further includes:
selecting any one or more than one food materials from an unalterable food material list, taking the food material names of the food materials as keywords for searching, and generating menu information containing the keywords, wherein the menu information at least comprises the menu names and the food material names corresponding to the keywords.
In implementation, retrieval software and a wireless communication module are installed on the intelligent kitchen control platform, the networking retrieval function of the intelligent kitchen platform is realized through the wireless communication module and the retrieval software, the intelligent kitchen control platform can determine any one or more than one food material names from an unalterable food material list at regular intervals, the food material names are used as keywords, menu information with the keywords is obtained through retrieval, so that multiple cooking modes of food materials are provided for a user, and the user experience is improved.
In conclusion, the gas component data in each storage grid of the refrigerator, in which food materials are stored, of the refrigerator are regularly detected through the intelligent kitchen control platform, whether the food materials are deteriorated or not is judged according to the gas component data, the deteriorated food materials are regularly displayed, the remaining time of the non-deteriorated food materials to deterioration is also displayed, a menu can be provided according to the non-deteriorated food materials, the user experience degree is improved, and the condition that the body of a user is uncomfortable due to the fact that the user eats the deteriorated food materials by mistake is reduced.
Based on the same technical conception, the embodiment of the application provides an intelligent kitchen control system, which comprises:
the food material information acquiring module 201 is configured to acquire and store refrigerator food material information, where the refrigerator food material information at least includes an object placing grid number corresponding to each refrigerator object placing grid, and a food material name of a food material stored in each refrigerator object placing grid;
the gas component detection module 202 is configured to send a detection signal to the gas component detection module 202 arranged in each refrigerator storage cell according to a preset detection sequence every preset time, so that the gas component detection module 202 detects gas component data in the corresponding refrigerator storage cell at a current detection time point, where the gas component data includes a gas component name and a corresponding gas concentration value;
the detection information generation module 203 is configured to receive all gas component data in a current detection time point, and generate and store detection information based on a preset detection sequence, where the detection information at least includes the detection time point, a storage grid number, the gas component data, and a food material name;
the spoiled food material processing module 204 is configured to, when a preset spoiled gas exists in the gas component data and a gas concentration value of the spoiled gas corresponding to the gas component data is greater than a preset concentration threshold value corresponding to the spoiled gas, determine the food material in the storage grid of the refrigerator corresponding to the gas component data as spoiled food material, add detection information corresponding to the spoiled food material to a preset spoiled food material list, and display the spoiled food material list.
Optionally, the kitchen intelligent control system further includes:
the unmodified food material processing module 204 is configured to, when gas concentration values corresponding to all preset modified gases existing in the gas component data are not greater than a preset concentration threshold of the corresponding modified gases, determine the food materials in the storage grid of the refrigerator corresponding to the gas component data as unmodified food materials, and calculate, according to detection information corresponding to a previous detection time point of the unmodified food materials, a distance between the unmodified food materials and the residual time corresponding to the modified food materials; and the method is also used for adding the remaining duration and the detection information corresponding to the non-metamorphic food materials into a preset non-metamorphic food material list and displaying the non-metamorphic food material list.
Optionally, the kitchen intelligent control system further includes:
the vacant storage cell determining module is used for receiving monitoring data monitored by a first monitoring module preset in each refrigerator storage cell and determining whether the refrigerator storage cell corresponding to the monitoring data is vacant according to the monitoring data;
and the vacant storage grid number display module is used for determining and displaying the number corresponding to the target refrigerator storage grid when the target refrigerator storage grid is vacant.
Optionally, the food material information obtaining module 201 is further configured to receive monitoring data monitored by a first monitoring module preset in each refrigerator storage cell, and determine whether the refrigerator storage cell corresponding to the monitoring data is empty based on the monitoring data; the refrigerator storage grid monitoring system is also used for sending a monitoring signal to a second monitoring module preset in the refrigerator storage grid which is not empty so that the second monitoring module can shoot a first food material image of food materials; the refrigerator storage grid storage device is also used for receiving a first food material image and determining the food material name which is not stored in the vacant refrigerator storage grid corresponding to the first food material image; and the refrigerator food information is generated and stored according to the food material name and the storage grid number of the storage grid of the refrigerator which is not empty.
Optionally, the food material information obtaining module 201 is further configured to obtain and store refrigerator food material information entered by the user, where the refrigerator food material information at least includes an article placing grid number corresponding to each refrigerator article placing grid, and a food material name of a food material stored in each refrigerator article placing grid corresponding to each refrigerator article placing grid; the refrigerator food material information monitoring system is also used for sending a monitoring signal to a second monitoring module preset in a refrigerator storage grid corresponding to the refrigerator food material information, so that the second monitoring module can shoot a second food material image of food materials stored in the refrigerator storage grid; the food material monitoring module is also used for receiving a second food material image sent by the second monitoring module and determining the standard name of the food material corresponding to the second food material image; and the warning module is used for comparing the standard name with the food material name in the corresponding refrigerator food material information, and starting the warning module on the corresponding refrigerator storage grid when the food material name is inconsistent with the corresponding standard name so as to inform a user that the food material placement position is wrong.
Optionally, the gas component detection module 202 is further configured to obtain, every preset time, empty numbers of all empty refrigerator storage grids corresponding to the current detection point, and screen out all empty numbers from all preset refrigerator storage grid numbers to generate all numbers to be detected; and the gas component detection module 202 is further used for sequentially sending detection signals to the gas component detection modules 202 in the storage grids of the refrigerator corresponding to the numbers to be detected according to a preset detection sequence, so that the gas component detection modules 202 detect gas component data corresponding to the storage grids of the refrigerator corresponding to the numbers.
Optionally, the kitchen intelligent control system further includes:
and the menu information recommendation module is used for selecting any one or more than one food materials from the list of the non-deteriorated food materials, taking the food material names of the food materials as key words for retrieval, and generating menu information containing the key words, wherein the menu information at least comprises the menu names and the food material names corresponding to the key words.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An intelligent kitchen control method is characterized in that: the method comprises the following steps:
acquiring and storing refrigerator food material information, wherein the refrigerator food material information at least comprises an object placing grid number corresponding to each refrigerator object placing grid and a food material name of a food material stored in each refrigerator object placing grid;
sending a detection signal to a gas component detection module arranged in each refrigerator storage grid according to a preset detection sequence every preset time, so that the gas component detection module detects gas component data corresponding to the refrigerator storage grid at the current detection time point, wherein the gas component data comprise gas component names and corresponding gas concentration values;
receiving all gas component data in the current detection time point, and generating and storing detection information based on a preset detection sequence, wherein the detection information at least comprises the detection time point, the storage grid number, the gas component data and the food material name;
if the preset deteriorated gas exists in the gas component data and the gas concentration value of the deteriorated gas in the gas component data is larger than the preset concentration threshold value corresponding to the deteriorated gas, determining the food materials in the storage grid of the refrigerator corresponding to the gas component data as deteriorated food materials, adding detection information corresponding to the deteriorated food materials into a preset deteriorated food material list, and displaying the deteriorated food material list.
2. The intelligent kitchen control method according to claim 1, characterized in that: the method further comprises the following steps:
if the gas concentration values corresponding to all preset deteriorated gases in the gas component data are not greater than the preset concentration threshold of the corresponding deteriorated gases, determining the food materials in the storage grid of the refrigerator corresponding to the gas component data as non-deteriorated food materials, and calculating the remaining time corresponding to the distance between the non-deteriorated food materials and the deteriorated food materials according to the detection information corresponding to the non-deteriorated food materials at the previous detection time point;
and adding the residual duration and the detection information corresponding to the non-metamorphic food materials into a preset non-metamorphic food material list, and displaying the non-metamorphic food material list.
3. The intelligent kitchen control method according to claim 1, characterized in that: the method further comprises the following steps:
receiving monitoring data monitored by a first monitoring module preset in each refrigerator storage grid, and determining whether the refrigerator storage grid corresponding to the monitoring data is empty or not according to the monitoring data;
and if the object storage grid of the target refrigerator is empty, determining and displaying the number corresponding to the object storage grid of the target refrigerator.
4. The intelligent kitchen control method according to claim 1, characterized in that: the acquiring and storing refrigerator food material information comprises the following steps:
receiving monitoring data monitored by a first monitoring module preset in each refrigerator storage grid, and determining whether the refrigerator storage grid corresponding to the monitoring data is empty or not based on the monitoring data;
sending a monitoring signal to a second monitoring module preset in an unoccupied refrigerator storage grid so that the second monitoring module can shoot a first food material image of the food material;
receiving the first food material image, and determining the food material name which is not stored in the vacant refrigerator storage grid correspondingly based on the first food material image;
and generating and storing refrigerator food material information according to the food material name and the storage grid number of the storage grid of the refrigerator which is not empty.
5. The intelligent kitchen control method according to claim 1, characterized in that: the acquiring and storing refrigerator food material information comprises the following steps:
the method comprises the steps of obtaining and storing refrigerator food material information input by a user, wherein the refrigerator food material information at least comprises an object placing grid number corresponding to each refrigerator object placing grid and a food material name of a food material stored in each refrigerator object placing grid;
sending a monitoring signal to a second monitoring module preset in the refrigerator storage grid corresponding to the refrigerator food information, so that the second monitoring module shoots a second food material image of the food material stored in the refrigerator storage grid;
receiving a second food material image sent by the second monitoring module, and determining a standard name of a food material corresponding to the second food material image;
and comparing the standard name with the food material name in the corresponding refrigerator food material information, and starting a warning module on the corresponding refrigerator storage grid to inform a user that the food material placement position is wrong when the food material name is inconsistent with the corresponding standard name.
6. The intelligent kitchen control method according to claim 1, characterized in that: every preset duration, send detecting signal to the built-in gas composition detection module of thing check is put to each refrigerator according to preset detection order to make gas composition detection module at current detection time point, detect the gas composition data that corresponds the refrigerator and put the thing check, include:
acquiring the vacant numbers of all vacant refrigerator storage grids corresponding to the current detection point every preset time length, and screening all the vacant numbers from all the preset refrigerator storage grid numbers to generate all numbers to be detected;
according to a preset detection sequence, a detection signal is sent to the gas component detection modules in the storage grids of the refrigerator corresponding to the numbers to be detected in sequence, so that the gas component detection modules detect gas component data corresponding to the storage grids of the refrigerator corresponding to the gas component detection modules.
7. The intelligent kitchen control method according to claim 1, characterized in that: the method further comprises the following steps:
selecting any one or more than one food materials from the list of the non-deteriorated food materials, taking the food material names of the food materials as key words for searching, and generating menu information containing the key words, wherein the menu information at least comprises menu names and food material names corresponding to the key words.
8. A kitchen intelligence control system, comprising:
the food material information acquisition module (201) is used for acquiring and storing refrigerator food material information, wherein the refrigerator food material information at least comprises an object placing grid number corresponding to each refrigerator object placing grid and a food material name of a food material stored in each refrigerator object placing grid;
the gas component detection module (202) is used for sending a detection signal to the gas component detection module arranged in each refrigerator storage grid according to a preset detection sequence every preset time, so that the gas component detection module detects gas component data in the corresponding refrigerator storage grid at the current detection time point, and the gas component data comprises a gas component name and a corresponding gas concentration value;
the detection information generation module (203) is used for receiving all gas component data in the current detection time point, and generating and storing detection information based on a preset detection sequence, wherein the detection information at least comprises the detection time point, a storage grid number, the gas component data and a food material name;
and the metamorphic food material processing module (204) is used for determining the food materials in the storage grid of the refrigerator corresponding to the gas component data as metamorphic food materials when the preset metamorphic gas exists in the gas component data and the corresponding gas concentration value of the metamorphic gas in the gas component data is greater than the preset concentration threshold value corresponding to the metamorphic gas, adding the detection information corresponding to the metamorphic food materials into a preset metamorphic food material list, and displaying the metamorphic food material list.
9. The utility model provides a kitchen intelligent control platform which characterized in that: the intelligent kitchen control platform comprises a processor and a memory, wherein at least one instruction, at least one program, a set of codes or a set of instructions is stored in the memory, and the at least one instruction, the at least one program, the set of codes are loaded and executed by the processor to realize an intelligent kitchen control method according to any one of claims 1 to 7.
10. A computer-readable storage medium characterized by: the storage medium has stored therein at least one instruction, at least one program, a set of codes, or a set of instructions that is loaded and executed by a processor to implement a kitchen intelligence control method according to any one of claims 1 to 7.
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