CN112700600A - Cloud intelligent fast food cabinet and food storage and taking method - Google Patents
Cloud intelligent fast food cabinet and food storage and taking method Download PDFInfo
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- 235000013410 fast food Nutrition 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 27
- 235000013305 food Nutrition 0.000 title claims abstract description 12
- 238000003860 storage Methods 0.000 title claims description 16
- 238000001514 detection method Methods 0.000 claims abstract description 40
- 235000012054 meals Nutrition 0.000 claims abstract description 31
- 238000000151 deposition Methods 0.000 claims abstract description 7
- 238000004332 deodorization Methods 0.000 claims description 7
- 230000002070 germicidal effect Effects 0.000 claims description 7
- 238000004321 preservation Methods 0.000 claims description 7
- 238000012795 verification Methods 0.000 claims description 7
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 description 6
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- 238000013473 artificial intelligence Methods 0.000 description 1
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- 235000021152 breakfast Nutrition 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
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- A—HUMAN NECESSITIES
- A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
- A23L—FOODS, FOODSTUFFS, OR NON-ALCOHOLIC BEVERAGES, NOT COVERED BY SUBCLASSES A21D OR A23B-A23J; THEIR PREPARATION OR TREATMENT, e.g. COOKING, MODIFICATION OF NUTRITIVE QUALITIES, PHYSICAL TREATMENT; PRESERVATION OF FOODS OR FOODSTUFFS, IN GENERAL
- A23L3/00—Preservation of foods or foodstuffs, in general, e.g. pasteurising, sterilising, specially adapted for foods or foodstuffs
- A23L3/26—Preservation of foods or foodstuffs, in general, e.g. pasteurising, sterilising, specially adapted for foods or foodstuffs by irradiation without heating
- A23L3/28—Preservation of foods or foodstuffs, in general, e.g. pasteurising, sterilising, specially adapted for foods or foodstuffs by irradiation without heating with ultraviolet light
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- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/02—Coin-freed apparatus for dispensing, or the like, discrete articles from non-movable magazines
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/62—Coin-freed apparatus for dispensing, or the like, discrete articles in which the articles are stored in compartments in fixed receptacles
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F9/00—Details other than those peculiar to special kinds or types of apparatus
- G07F9/10—Casings or parts thereof, e.g. with means for heating or cooling
- G07F9/105—Heating or cooling means, for temperature and humidity control, for the conditioning of articles and their storage
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Abstract
The invention discloses a cloud intelligent fast food cabinet and a method for storing and taking food, wherein the cloud intelligent fast food cabinet comprises a box body, a plurality of large-size grids are arranged in the box body, the grids can store a plurality of lunch boxes simultaneously, and a weight sensor is arranged at the bottom of each grid and used for detecting the weight of each lunch box; at least one be provided with the space in the cell and detect the module for detect the surplus space in the cell or detect the size of the cutlery box of treating depositing, the space detects the module and includes at least one infrared detection device and/or image sensor. The invention adopts a mode that one cell can simultaneously place a plurality of meal boxes, can utilize the space for fetching the meal cabinets to the maximum extent and improves the bearing capacity of the fast food cabinet. The weight of the lunch box is detected through the weight sensor, the weight of the taken out lunch box is detected out to be inconsistent with the weight of the lunch box when the lunch box is stored, and a user is prompted to take out the lunch box to confirm whether to take the lunch box by mistake or more, so that the lunch box is prevented from being taken by mistake.
Description
Technical Field
The invention relates to the technical field of logistics equipment, in particular to a cloud intelligent fast food cabinet and a method for storing and taking food.
Background
With the popularization of the internet and mobile payment methods, more and more emerging technologies gradually appear in public vision, such as smart homes, commercial intelligent hardware, artificial intelligence and the like, which are hot topics. At present, distribution is a special and vital link in the take-out industry, and meanwhile, the problem that many merchants are headache is solved, and because the meal is not delivered to the hands of customers in time and heat preservation measures are not made, the meal is expensive compared with the meal taken in a hall, the meal taken is cool or softened and tasted, the user experience is natural and not good, and the sales volume and the good sensitivity of the merchants are directly influenced. Take-out has extremely high requirements on timeliness, and take-out orders are mostly concentrated in one time period for outbreak, so that the demand for contactless delivery is increased. Therefore, the time for waiting for a user to take meals by a rider can be quickly reduced, the efficiency of delivering meals by the rider is improved, and the cloud intelligent fast food cabinet delivered face to face is effectively reduced.
The intelligent meal taking cabinet solves several common pain points in the catering industry, and solves the problems of difficult eating and difficult meal delivery to a great extent. The taking cabinet has the similar function as an express cabinet, gets through the last hundred meters for taking out, and can greatly solve the problems that many office workers have no room to eat breakfast, have difficulty in eating at noon and have crowded dining in schools and hospital dining halls. The traditional operation mode of selecting, getting and paying in a customer window is adopted in a common dining room, and direct and indirect contact between workers and customers is difficult to avoid. The intelligent meal taking cabinet effectively solves the problem, avoids contact between personnel, and enables customers to eat hot meals at any time.
However, at present, only one meal box can be placed in one cell of a common meal cabinet, the number of the meal boxes which can be stored is limited, and the space of the meal cabinet is not utilized to the maximum extent.
Disclosure of Invention
In order to solve the problems, the invention provides a cloud intelligent fast food cabinet and a method for storing and taking food.
The cloud intelligent fast food cabinet comprises a box body, wherein a plurality of large-size boxes are arranged in the box body, the boxes can be used for storing a plurality of lunch boxes simultaneously, and a weight sensor is arranged at the bottom of each box and used for detecting the weight of each lunch box; at least one be provided with the space in the cell and detect the module for detect the surplus space in the cell or detect the size of the cutlery box of treating depositing.
Further, the space detection module comprises at least one infrared detection device and/or an image sensor; the infrared detection device is arranged at the bottom of the cell and can detect the size of the lunch box in the horizontal direction; the infrared detection device comprises a first infrared transmitting and receiving plate and a second infrared transmitting and receiving plate, the first infrared transmitting and receiving plate is arranged at the front end or the rear end of the bottom of the cell, the second infrared transmitting and receiving plate is arranged at the corresponding side of the infrared transmitting plate, and a lunch box is stored between the first infrared transmitting and receiving plate and the second infrared transmitting and receiving plate; the image sensor is used for acquiring image data in the cells; and analyzing the residual space in the cell in an off-line or on-line mode according to the image data.
Furthermore, one or a plurality of combinations of an odor sensor, an ultraviolet germicidal lamp, an ozone deodorization device, a cleaning device and a heat preservation device are arranged in the cell, and the odor sensor is used for acquiring odor emitted by the lunch boxes so that the same lunch boxes can be stored in the same cell.
Furthermore, a visible window is arranged on the door of the box, and one or two of an illuminating lamp and a camera is/are arranged at the top of the box body and/or inside the box.
The invention discloses a food storage method of a cloud intelligent fast food cabinet, which comprises the following steps:
1) a user of the lunch box logs in by using a mobile terminal, or scans the identification code on the lunch box through a code scanning device arranged on the box body and matches the identification code with cloud data; the login modes using the mobile terminal comprise password login, code scanning login and verification code login;
2) after the login is successful or the matching is successful, prompting a user of the lunch box to select the cells with three residual spaces, namely large, medium and small, according to the lunch box;
3) after the user selects the lunch box, the corresponding cell is opened, the user puts the lunch box into the lunch box, if the user can put the lunch box down, the weight of the lunch box is recorded after the door of the cell is closed, and the residual space is recalculated; if the lunch box can not be placed in the box, prompting a user storing the lunch box to select the next cell again and shielding the opened cell;
4) and after delivery is successful, directly displaying or sending the fetching code to the mobile terminal of the lunch box depositor, and taking out the corresponding lunch box according to the fetching code.
Furthermore, according to the position of the user who takes out the lunch box, the corresponding cell is provided for the user who takes out the lunch box: for the people who take out the lunch boxes in the same or adjacent units and floors or the people who take out the lunch boxes under the same WiFi, the same or similar boxes are provided for the people who store the lunch boxes.
The meal taking method corresponding to the meal storage method comprises the following steps:
1) the lunch box extractor uses the mobile terminal to log in or input the fetching code to take out the corresponding lunch box;
2) and taking out the lunch boxes, after the doors of the boxes are closed, if the weight of the taken out lunch boxes is detected to be not consistent with that of the stored lunch boxes, prompting a lunch box taking person to confirm whether to take the lunch boxes by mistake or more, and opening the boxes again after the lunch box taking person confirms that the lunch boxes are taken by mistake.
In addition, the other food storage method of the cloud intelligent fast food cabinet comprises the following steps:
1) a lunch box depositor puts a lunch box into the cell provided with the space detection module to detect the size of the lunch box, and simultaneously logs in by using a mobile terminal, or scans an identification code on the lunch box through a code scanning device arranged on the box body and matches the identification code with cloud data; the login modes using the mobile terminal comprise password login, code scanning login and verification code login;
2) after the login is successful or the matching is successful, prompting a lunch box depositor to select the corresponding cell with the remaining space according to the detected size of the lunch box;
3) after the user selects the lunch box, the corresponding cell is opened, the user puts the lunch box into the lunch box, if the user can put the lunch box down, the weight of the lunch box is recorded after the door of the cell is closed, and the residual space is recalculated; if the lunch box can not be placed in the box, prompting a user storing the lunch box to select the next cell again and shielding the opened cell;
4) and after delivery is successful, directly displaying or sending the fetching code to the mobile terminal of the lunch box depositor, and taking out the corresponding lunch box according to the fetching code.
Furthermore, according to the position of the user who takes out the lunch box, the corresponding cell is provided for the user who takes out the lunch box: for the people who take out the lunch boxes in the same or adjacent units and floors or the people who take out the lunch boxes under the same WiFi, the same or similar boxes are provided for the people who store the lunch boxes.
The meal taking method corresponding to the meal storage method comprises the following steps:
1) the lunch box extractor uses the mobile terminal to log in or input the fetching code to take out the corresponding lunch box;
2) and taking out the lunch boxes, after the doors of the boxes are closed, if the weight of the taken out lunch boxes is detected to be not consistent with that of the stored lunch boxes, prompting a lunch box taking person to confirm whether to take the lunch boxes by mistake or more, and opening the boxes again after the lunch box taking person confirms that the lunch boxes are taken by mistake.
The invention has the beneficial effects that:
the invention adopts a mode that one cell can be used for placing a plurality of meal boxes at the same time, so that the space for taking the meal cabinet can be utilized to the maximum extent, and the bearing capacity of the fast food cabinet is improved;
the weight of the lunch box is detected through the weight sensor, the weight of the taken out lunch box is detected to be inconsistent with the weight of the lunch box when the lunch box is stored, and a user is prompted to take out the lunch box to confirm whether to take the lunch box by mistake or more, so that the wrong lunch taking is avoided;
the infrared detection device or the image sensor can detect the residual space in the cell or the size of the lunch box to be stored, so that the lunch box can be reasonably stored;
the odor sensor can be arranged in the cell to acquire the odor emitted by the lunch boxes, so that the similar lunch boxes can be stored in the same cell;
the cell can be internally provided with an ultraviolet germicidal lamp, an ozone deodorization device, a cleaning device, a heat preservation device and the like, so that the functions of sterilization, deodorization, cleaning, heat preservation and the like of the cell can be realized.
Drawings
FIG. 1 is a schematic perspective view of a cloud intelligent fast food cabinet according to the present invention;
FIG. 2 is a schematic view of the structure of the infrared detection device of the present invention;
FIG. 3 is a schematic view of the internal structure of the cloud intelligent fast food cabinet of the present invention;
FIG. 4 is a front view of the cloud intelligent snack cabinet of the present invention;
FIG. 5 is one of the structural schematic diagrams of the double-structured cell of the present invention;
fig. 6 is a second schematic structural view of the double-layer structured cell of the present invention.
Reference numerals: 1-an infrared detection device, 2-a weight sensor, 101-a first infrared transmitting and receiving plate, 102-a second infrared transmitting and receiving plate, 301-a lighting lamp, 302-a turbo exhaust fan, 303-an ultraviolet sterilizing lamp, 304-a control board assembly, 305-an electric control lock, 401-a light box, 402-a loudspeaker, 403-an operation display screen, 404-a code scanner and 405-a visual window.
Detailed Description
In order to more clearly understand the technical features, objects, and effects of the present invention, specific embodiments of the present invention will now be described. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
This embodiment provides a cloud intelligence fast food cabinet, including the box, as shown in fig. 1, be provided with a plurality of large-size check in the box, a plurality of cutlery boxes can be deposited simultaneously to the check, and the bottom of check is provided with weighing transducer 2 for detect the weight of cutlery box, still be provided with the space in the check and detect the module, be used for detecting the residual space in the check. Specifically, the space detection module adopts one or two combination modes of an infrared detection device 1 and an image sensor, and the infrared detection device 1 is used for detecting the size of the lunch box in the horizontal direction, so that the transverse available space in the cell can be calculated; the image sensor is used for collecting image data in the cell and analyzing the residual space in the cell in an off-line or on-line mode according to the image data.
Preferably, as shown in fig. 2, the infrared detection device 1 includes a first infrared emitting and receiving board 101 and a second infrared emitting and receiving board 102, the first infrared emitting and receiving board 101 is disposed at the front end or the rear end of the bottom of the cell, the second infrared emitting and receiving board 102 is disposed at the corresponding side of the infrared emitting board, and the lunch box is stored between the two. The infrared light beam shielded by the lunch box is detected by an infrared detection technology, so that the size or the area of the lunch box can be detected, and the horizontal available space on the plane can be calculated. When the article is in a tilted state, correction calculation can be performed. In addition, the first infrared transmitting and receiving plate 101 and the second infrared transmitting and receiving plate 102 may also be disposed at different heights within the cells to improve the accuracy of the measurement.
The principle of identifying the remaining space of the cell by the image sensor is as follows: the image sensor is arranged above the interior of the cell, photographs or dynamically monitors the lower space region or the lunch box, and identifies the volume or the area of the stored lunch box through the collected image data, so that the detection of calculating the residual space or the area is achieved. The image sensor is similar to a face recognition camera, can detect features such as article depth, and can perform 3D model imaging on the article through the returned depth features of different position points, so that the detection of the article volume is achieved. Preferably, if the lunch boxes in the cell are discrete, the surplus space is calculated by combination, and the cell space is maximally utilized. Specifically, the image sensor may be implemented using a 3D camera. Further, image sensors may be provided at multiple orientations within the cell to improve measurement accuracy.
Based on the cloud intelligent fast food cabinet, the embodiment provides a food storage method, which comprises the following steps:
1) a user of the lunch box logs in by using the mobile terminal, or scans the identification code on the lunch box through a code scanning device arranged on the box body and matches the identification code with the cloud data; the login mode using the mobile terminal comprises password login, code scanning login and verification code login;
2) after the login is successful or the matching is successful, prompting a lunch box depositor to select the cells of three residual spaces, namely a large space, a medium space and a small space (the residual spaces are detected by the space detection module) according to the lunch box;
3) after the lunch box depositor selects, the corresponding cell is opened, the lunch box depositor puts the lunch box, if the lunch box depositor can put down, after closing the box door of the cell, the weight of the lunch box is recorded through the weight sensor 2, and the residual space is recalculated; if the box can not be placed in the box, the user is prompted to select the next box grid again, and the box grid which is already opened is shielded;
4) after delivery is successful, the fetching code is directly displayed or sent to the mobile terminal of the lunch box depositor, and the corresponding lunch box can be taken out by the fetching code.
Preferably, the corresponding cell is provided for the lunch box storage according to the position of the lunch box taking person: for the people who take out the lunch boxes in the same or adjacent units and floors or the people who take out the lunch boxes under the same WiFi, the same or similar boxes are provided for the people who store the lunch boxes.
Correspondingly, the embodiment also provides a meal taking method, which comprises the following steps:
1) the lunch box extractor uses the mobile terminal to log in or input the fetching code to take out the corresponding lunch box;
2) when the lunch box is taken out and the door of the cell is closed, if the weight sensor 2 detects that the weight of the taken lunch box does not accord with that of the stored lunch box, the user is prompted to confirm whether the lunch box is taken by mistake or more, and the user opens the cell again after confirming that the lunch box is taken by mistake.
Example 2
The embodiment provides a cloud intelligence fast food cabinet, and the main difference with embodiment 1 lies in that this embodiment only sets up the space in a cell and detects the module to regard this cell as the preliminary examination device, with the size that detects the cutlery box of waiting to deposit. Preferably, the volume of the cell serving as the pre-inspection device can be smaller than the volume of other large-sized cells, so as to save space. Specifically, the space detection module adopts a mode of combining one or two of an infrared detection device 1 and an image sensor, and the infrared detection device 1 is used for detecting the size of the lunch box in the horizontal direction; the image sensor is used for acquiring image data in the cell and analyzing the volume of the lunch box in an off-line or on-line mode according to the image data.
Preferably, the infrared detection device 1 includes a first infrared emitting and receiving plate 101 and a second infrared emitting and receiving plate 102, the first infrared emitting and receiving plate 101 is disposed at the front end or the rear end of the bottom of the cell, the second infrared emitting and receiving plate 102 is disposed at the corresponding side of the infrared emitting plate, and the lunch box is stored therebetween. The infrared light beam shielded by the lunch box is detected by an infrared detection technology, so that the size or the area of the lunch box can be detected. When the article is in a tilted state, correction calculation can be performed. In addition, the first infrared transmitting and receiving plate 101 and the second infrared transmitting and receiving plate 102 may also be disposed at different heights within the cells to improve the accuracy of the measurement.
The principle that the image sensor identifies the volume of the lunch box is as follows: the image sensor is arranged above the interior of the cell, photographs or dynamically monitors the lower space region or the lunch box, and identifies the volume or the area of the stored lunch box through the collected image data. The image sensor is similar to a face recognition camera, can detect features such as article depth, and can perform 3D model imaging on the article through the returned depth features of different position points, so that the detection of the article volume is achieved. Specifically, the image sensor may be implemented using a 3D camera. Further, image sensors may be provided at multiple orientations within the cell to improve measurement accuracy.
Based on the cloud intelligent fast food cabinet, the embodiment provides a food storage method, which comprises the following steps:
1) a lunch box depositor puts the lunch box into a pre-detection device to detect the size of the lunch box, and simultaneously logs in by using a mobile terminal, or scans an identification code on the lunch box through a code scanning device arranged on the box body and matches the identification code with cloud data; the login mode using the mobile terminal comprises password login, code scanning login and verification code login;
2) after the login is successful or the matching is successful, prompting a lunch box depositor to select a cell of the corresponding residual space (the residual space is less than or equal to the cell size-the size of the stored lunch box) according to the detected size of the lunch box;
3) after the lunch box depositor selects, the corresponding cell is opened, the lunch box depositor puts the lunch box, if the lunch box depositor can put down, after closing the box door of the cell, the weight of the lunch box is recorded through the weight sensor 2, and the residual space is recalculated; if the box can not be placed in the box, the user is prompted to select the next box grid again, and the box grid which is already opened is shielded;
4) after delivery is successful, the fetching code is directly displayed or sent to the mobile terminal of the lunch box depositor, and the corresponding lunch box can be taken out by the fetching code.
Preferably, the corresponding cell is provided for the lunch box storage according to the position of the lunch box taking person: for the people who take out the lunch boxes in the same or adjacent units and floors or the people who take out the lunch boxes under the same WiFi, the same or similar boxes are provided for the people who store the lunch boxes.
Correspondingly, the embodiment also provides a meal taking method, which comprises the following steps:
1) the lunch box extractor uses the mobile terminal to log in or input the fetching code to take out the corresponding lunch box;
2) when the lunch box is taken out and the door of the cell is closed, if the weight sensor 2 detects that the weight of the taken lunch box does not accord with that of the stored lunch box, the user is prompted to confirm whether the lunch box is taken by mistake or more, and the user opens the cell again after confirming that the lunch box is taken by mistake.
Example 3
The embodiment provides a cloud intelligence fast food cabinet, and the main difference with embodiment 1 and 2 lies in that this embodiment sets up the space in every cell and detects the module to regard one of them certain cell as the preliminary examination device, with the size that detects the cutlery box of waiting to deposit. Preferably, the volume of the cell serving as the pre-inspection device can be smaller than the volume of other large-sized cells, so as to save space. Specifically, the space detection module adopts one or two combination modes of an infrared detection device 1 and an image sensor, and the infrared detection device 1 is used for detecting the size of the lunch box in the horizontal direction, so that the transverse available space in the cell can be calculated; the image sensor is used for acquiring image data in the cell and analyzing the volume of the lunch box or the residual space in the cell in an off-line or on-line mode according to the image data.
Preferably, the infrared detection device 1 includes a first infrared emitting and receiving plate 101 and a second infrared emitting and receiving plate 102, the first infrared emitting and receiving plate 101 is disposed at the front end or the rear end of the bottom of the cell, the second infrared emitting and receiving plate 102 is disposed at the corresponding side of the infrared emitting plate, and the lunch box is stored therebetween. The infrared light beam shielded by the lunch box is detected by an infrared detection technology, so that the size or the area of the lunch box can be detected, and the transverse available space on the plane can be calculated. When the article is in a tilted state, correction calculation can be performed. In addition, the first infrared transmitting and receiving plate 101 and the second infrared transmitting and receiving plate 102 may also be disposed at different heights within the cells to improve the accuracy of the measurement.
The principle that the image sensor identifies the volume of the lunch box or the residual space of the cell is as follows: the image sensor is arranged above the interior of the cell, photographs or dynamically monitors the lower space area or the lunch box, and identifies the volume or the area of the stored lunch box through the collected image data, thereby achieving the detection of calculating the residual space or area. The image sensor is similar to a face recognition camera, can detect features such as article depth, and can perform 3D model imaging on the article through the returned depth features of different position points, so that the detection of the article volume is achieved. Preferably, if the lunch boxes in the cell are discrete, the surplus space is calculated by combination, and the cell space is maximally utilized. Specifically, the image sensor may be implemented using a 3D camera. Further, image sensors may be provided at multiple orientations within the cell to improve measurement accuracy.
Based on the cloud intelligent fast food cabinet, the embodiment provides a food storage method, which comprises the following steps:
1) a lunch box depositor puts the lunch box into a pre-detection device to detect the size of the lunch box, and simultaneously logs in by using a mobile terminal, or scans an identification code on the lunch box through a code scanning device arranged on the box body and matches the identification code with cloud data; the login mode using the mobile terminal comprises password login, code scanning login and verification code login;
2) after the login is successful or the matching is successful, prompting a lunch box depositor to select a box lattice of the corresponding residual space (the residual space is detected by the space detection module) according to the detected size of the lunch box;
3) after the lunch box depositor selects, the corresponding cell is opened, the lunch box depositor puts the lunch box, if the lunch box depositor can put down, after closing the box door of the cell, the weight of the lunch box is recorded through the weight sensor 2, and the residual space is recalculated; if the box can not be placed in the box, the user is prompted to select the next box grid again, and the box grid which is already opened is shielded;
4) after delivery is successful, the fetching code is directly displayed or sent to the mobile terminal of the lunch box depositor, and the corresponding lunch box can be taken out by the fetching code.
Preferably, the corresponding cell is provided for the lunch box storage according to the position of the lunch box taking person: for the people who take out the lunch boxes in the same or adjacent units and floors or the people who take out the lunch boxes under the same WiFi, the same or similar boxes are provided for the people who store the lunch boxes.
Correspondingly, the embodiment also provides a meal taking method, which comprises the following steps:
1) the lunch box extractor uses the mobile terminal to log in or input the fetching code to take out the corresponding lunch box;
2) when the lunch box is taken out and the door of the cell is closed, if the weight sensor 2 detects that the weight of the taken lunch box does not accord with that of the stored lunch box, the user is prompted to confirm whether the lunch box is taken by mistake or more, and the user opens the cell again after confirming that the lunch box is taken by mistake.
Example 4
This example is based on examples 1, 2 or 3:
be provided with odor sensor in the cell, the ultraviolet germicidal lamp, ozone deodorization equipment, one or more combination among cleaning device and the heat preservation device, wherein odor sensor is used for acquireing the smell that the cutlery box gived off, make like cutlery box leave in same cell, the ultraviolet germicidal lamp is used for disinfecting to the cell, ozone deodorization equipment blows ozone through fan and wind channel and carries out the deodorization in scattering the cell, cleaning device washs the cell through modes such as washing, heat preservation device sets up in the cell inboard, keep warm through insulation material.
As shown in fig. 3, be provided with light 301 in the cell, turbine exhaust fan 302, ultraviolet germicidal lamp 303 and control panel assembly 304, wherein light 301 is convenient for cutlery box person of depositing or the condition of depositing of cutlery box person observation box in the cell is taken out to cutlery box, turbine exhaust fan 302 is used for ventilating, ultraviolet germicidal lamp 303 is used for disinfecting to the cell, control panel assembly 304 is used for realizing infrared detection device 1 and image sensor's signal transmission and control, chamber door switch department is provided with electric control lock 305 for locking control chamber door.
Example 5
This example is based on examples 1, 2 or 3:
the door of the cell is provided with a visual window 405, which is convenient for a user storing the lunch box or taking out the lunch box to observe the storage condition of the lunch box in the cell. Optionally, one or two of light 301 and camera are all provided with in the top of box, the cell inside or these two places, and light 301 is convenient for the cutlery box person of depositing or the cutlery box person of taking out and observes the condition of depositing of cutlery box in the cell, and the camera is used for static or dynamic identification article of placing, monitors the process that the cutlery box was deposited and was taken out.
As shown in fig. 4, the box body is provided with a speaker 402, an operation display screen 403 and a code scanner 404, the box door is provided with a visual window 405 to facilitate observation of the storage condition of the lunch boxes in the box cells, and the top of the box body is provided with a light box 401. Specifically, the operation display screen 403 may adopt a capacitive touch screen and integrate a communication module.
Example 6
This example is based on examples 1, 2 or 3:
as shown in fig. 5 and 6, the cell for storing the lunch box is of a double-layer structure to make full use of the space above the cell, the upper and lower layers are both provided with the infrared detection devices 1, and the lower layer is provided with the weight sensor 2.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings or orientations or positional relationships conventionally placed when the present invention is used, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," and "connected" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; either a wired or wireless connection.
Claims (10)
1. The cloud intelligent fast food cabinet is characterized by comprising a box body, wherein a plurality of large-size boxes are arranged in the box body, the boxes can be used for storing a plurality of lunch boxes simultaneously, and a weight sensor is arranged at the bottom of each box and used for detecting the weight of each lunch box; at least one be provided with the space in the cell and detect the module for detect the surplus space in the cell or detect the size of the cutlery box of treating depositing.
2. The cloud intelligent fast food cabinet according to claim 1, wherein the space detection module comprises at least one infrared detection device and/or an image sensor;
the infrared detection device is arranged at the bottom of the cell and can detect the size of the lunch box in the horizontal direction; the infrared detection device comprises a first infrared transmitting and receiving plate and a second infrared transmitting and receiving plate, the first infrared transmitting and receiving plate is arranged at the front end or the rear end of the bottom of the cell, the second infrared transmitting and receiving plate is arranged at the corresponding side of the infrared transmitting plate, and a lunch box is stored between the first infrared transmitting and receiving plate and the second infrared transmitting and receiving plate;
the image sensor is used for acquiring image data in the cells; and analyzing the residual space in the cell in an off-line or on-line mode according to the image data.
3. The cloud intelligent fast food cabinet according to claim 1, wherein one or more of a combination of an odor sensor, an ultraviolet germicidal lamp, an ozone deodorization device, a cleaning device and a heat preservation device are arranged in the cell, and the odor sensor is used for acquiring odor emitted by meal boxes so that the same meal boxes can be stored in the same cell.
4. The cloud intelligent fast food cabinet according to claim 1, wherein a visible window is arranged on a door of the box, and one or a combination of two of an illuminating lamp and a camera is arranged on the top of the box body and/or inside the box.
5. A food storage method adopting the cloud intelligent fast food cabinet as claimed in any one of claims 1 to 4, characterized by comprising the following steps:
1) a user of the lunch box logs in by using a mobile terminal, or scans the identification code on the lunch box through a code scanning device arranged on the box body and matches the identification code with cloud data; the login modes using the mobile terminal comprise password login, code scanning login and verification code login;
2) after the login is successful or the matching is successful, prompting a user of the lunch box to select the cells with three residual spaces, namely large, medium and small, according to the lunch box;
3) after the user selects the lunch box, the corresponding cell is opened, the user puts the lunch box into the lunch box, if the user can put the lunch box down, the weight of the lunch box is recorded after the door of the cell is closed, and the residual space is recalculated; if the lunch box can not be placed in the box, prompting a user storing the lunch box to select the next cell again and shielding the opened cell;
4) and after delivery is successful, directly displaying or sending the fetching code to the mobile terminal of the lunch box depositor, and taking out the corresponding lunch box according to the fetching code.
6. The method for storing the cloud intelligent fast food cabinet according to claim 5, wherein the corresponding cell is provided for the lunch box holder according to the position of the lunch box holder: for the people who take out the lunch boxes in the same or adjacent units and floors or the people who take out the lunch boxes under the same WiFi, the same or similar boxes are provided for the people who store the lunch boxes.
7. A meal taking method corresponding to the meal storing method of the cloud intelligent fast food cabinet in claim 5 is characterized by comprising the following steps:
1) the lunch box extractor uses the mobile terminal to log in or input the fetching code to take out the corresponding lunch box;
2) and taking out the lunch boxes, after the doors of the boxes are closed, if the weight of the taken out lunch boxes is detected to be not consistent with that of the stored lunch boxes, prompting a lunch box taking person to confirm whether to take the lunch boxes by mistake or more, and opening the boxes again after the lunch box taking person confirms that the lunch boxes are taken by mistake.
8. A food storage method adopting the cloud intelligent fast food cabinet as claimed in any one of claims 1 to 4, characterized by comprising the following steps:
1) a lunch box depositor puts a lunch box into the cell provided with the space detection module to detect the size of the lunch box, and simultaneously logs in by using a mobile terminal, or scans an identification code on the lunch box through a code scanning device arranged on the box body and matches the identification code with cloud data; the login modes using the mobile terminal comprise password login, code scanning login and verification code login;
2) after the login is successful or the matching is successful, prompting a lunch box depositor to select the corresponding cell with the remaining space according to the detected size of the lunch box;
3) after the user selects the lunch box, the corresponding cell is opened, the user puts the lunch box into the lunch box, if the user can put the lunch box down, the weight of the lunch box is recorded after the door of the cell is closed, and the residual space is recalculated; if the lunch box can not be placed in the box, prompting a user storing the lunch box to select the next cell again and shielding the opened cell;
4) and after delivery is successful, directly displaying or sending the fetching code to the mobile terminal of the lunch box depositor, and taking out the corresponding lunch box according to the fetching code.
9. The method for storing the cloud intelligent fast food cabinet according to claim 8, wherein the corresponding cell is provided for the lunch box holder according to the position of the lunch box holder: for the people who take out the lunch boxes in the same or adjacent units and floors or the people who take out the lunch boxes under the same WiFi, the same or similar boxes are provided for the people who store the lunch boxes.
10. A meal fetching method corresponding to the meal storing method of the cloud intelligent fast food cabinet in claim 8, characterized by comprising the following steps:
3) the lunch box extractor uses the mobile terminal to log in or input the fetching code to take out the corresponding lunch box;
4) and taking out the lunch boxes, after the doors of the boxes are closed, if the weight of the taken out lunch boxes is detected to be not consistent with that of the stored lunch boxes, prompting a lunch box taking person to confirm whether to take the lunch boxes by mistake or more, and opening the boxes again after the lunch box taking person confirms that the lunch boxes are taken by mistake.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2020111638204 | 2020-10-27 | ||
| CN202011163820 | 2020-10-27 |
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| CN112700600A true CN112700600A (en) | 2021-04-23 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115043120A (en) * | 2022-06-22 | 2022-09-13 | 一汽丰田汽车(成都)有限公司长春丰越分公司 | Efficient intelligent warehousing system and storage method |
| CN116229643A (en) * | 2023-05-09 | 2023-06-06 | 北京惠朗时代科技有限公司 | Safe deposit cabinet discernment management system based on thing networking |
-
2020
- 2020-12-24 CN CN202011552623.1A patent/CN112700600A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115043120A (en) * | 2022-06-22 | 2022-09-13 | 一汽丰田汽车(成都)有限公司长春丰越分公司 | Efficient intelligent warehousing system and storage method |
| CN115043120B (en) * | 2022-06-22 | 2024-05-10 | 一汽丰田汽车(成都)有限公司长春丰越分公司 | Efficient intelligent warehousing system and storage method |
| CN116229643A (en) * | 2023-05-09 | 2023-06-06 | 北京惠朗时代科技有限公司 | Safe deposit cabinet discernment management system based on thing networking |
| CN116229643B (en) * | 2023-05-09 | 2023-07-04 | 北京惠朗时代科技有限公司 | Safe deposit cabinet discernment management system based on thing networking |
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