CN112665296B - Refrigerator based on data of Internet of things, and method and medium for intelligently detecting stored food - Google Patents
Refrigerator based on data of Internet of things, and method and medium for intelligently detecting stored food Download PDFInfo
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- CN112665296B CN112665296B CN202011384327.5A CN202011384327A CN112665296B CN 112665296 B CN112665296 B CN 112665296B CN 202011384327 A CN202011384327 A CN 202011384327A CN 112665296 B CN112665296 B CN 112665296B
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Abstract
The invention belongs to the technical field of intelligent home furnishing, and discloses a refrigerator based on data of the Internet of things, an intelligent detection method and a medium for stored food, wherein a separation device is arranged on the refrigerator with a hollow internal space, a plurality of partition plates are distributed in the refrigerator according to layers, and the partition plates are supported and connected by support columns; the pressure detection system is characterized in that four corners of each partition board are respectively distributed with a pressure sensor and an orientation recognition device, and when food is put in, three or more sensors are used for comprehensively sensing the orientation of the food; the gravity sensing device is characterized in that a plurality of gravity sensors are arranged on the lower side of the bottom clapboard supporting plate; the image detection system is arranged on a plurality of cameras on the inner wall of the space in the refrigerator and used for identifying and distinguishing specific food through images. On the basis of this, the health management of the user can be assisted at the food level in daily use. The food information in the refrigerator can be intelligently recorded, and a blending suggestion can be intelligently given according to the food information.
Description
Technical Field
The invention belongs to the technical field of intelligent home furnishing, and particularly relates to a refrigerator based on data of the Internet of things, an intelligent detection method for stored food and a medium.
Background
The refrigerator belongs to the indispensable household electrical appliances of family, nevertheless still uses basic refrigeration fresh-keeping function to a great extent in using at present, and the food information of its inner space storage can further develop and utilize based on thing networking data acquisition, enriches its use scene, makes it possess the practicality more.
Through the above analysis, the problems and defects of the prior art are as follows: at present, only the basic refrigeration and preservation functions are used to a greater extent, and the refrigeration and preservation device is single in function and cannot meet the requirements of people.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a refrigerator based on data of the Internet of things, an intelligent detection method and a medium for stored food.
The invention is realized in this way, and the intelligent detection system for the food stored in the refrigerator based on the data of the Internet of things is provided with:
the separation device is placed on a refrigerator with a hollow internal space, a plurality of partition plates are distributed in the refrigerator according to layers, and the partition plates are supported and connected through support columns;
in the pressure detection system, pressure sensors are respectively distributed at four corners of each partition plate,
the direction recognition device is used for comprehensively sensing the direction of the food by three or more sensors when the food is put in;
the gravity sensing device is characterized in that a plurality of gravity sensors are arranged on the lower side of the bottom clapboard supporting plate;
the image detection system is arranged on a plurality of cameras on the inner wall of the space in the refrigerator and used for identifying and distinguishing specific food through images.
The invention also aims to provide a detection method of the intelligent detection system for the foods stored in the refrigerator based on the data of the internet of things, which comprises the following steps:
step one, identifying specific types of food, and classifying and identifying the food by building a neural network model;
step two, combining the weight information to obtain relatively accurate energy data;
and step three, developing and utilizing food information stored in the internal space of the refrigerator based on data acquisition of the Internet of things and giving a blending suggestion.
Furthermore, in the first step, articles are taken and placed on the interlayer, one side, where the articles are placed, is slightly inclined under stress, the corresponding interlayer pressure sensor judges the number of corresponding interlayers and places specific positions based on the force, and the corresponding positions are subjected to image recognition by the camera on the inner wall of the refrigerator space.
Furthermore, in the second step, the corresponding positions of the food are detected through the induction of a plurality of pressure sensors, and after the whole picture is calibrated according to regions in the previous period, the positioning and the identification are rapidly realized.
Further, in the third step, the first step,
under the condition that non-food is identified, the system reserves the current spatial position image and weight information for the next identification and comparison;
in the case where food is identified, the bottommost shelf weight sensor detects the difference in weight before and after and records the comparison.
Further, if the weight is increased compared with the original weight, the food is judged to be put in, and the calorie of the food is comprehensively judged by combining the health data of the user to give a specific diet suggestion;
if the weight is reduced compared with the original weight, judging that the food is taken out, judging that the calorie consumed by the food is taken out by combining the health data of the user, and giving a specific purchasing suggestion;
after the comparison record is finished, the system continuously keeps the current spatial position image and the weight information for the next identification comparison;
if the weight is not changed, the judgment is regarded as misjudgment, misjudgment information is recorded, the current spatial position image and the weight information are continuously kept, and the whole process is finished.
The invention also aims to provide a refrigerator, which is provided with the intelligent detection system for foods stored in the refrigerator based on the data of the internet of things and is used for implementing the intelligent detection method for the foods stored in the refrigerator based on the data of the internet of things.
Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the method for intelligently detecting food stored in a refrigerator based on data of internet of things.
Another object of the present invention is to provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the processor is enabled to execute the method for intelligently detecting foods stored in a refrigerator based on data of the internet of things.
The invention also aims to provide an information data processing terminal which is used for realizing the intelligent detection method for the food stored in the refrigerator based on the data of the internet of things.
By combining all the technical schemes, the invention has the advantages and positive effects that: the intelligent detection system for the food stored in the refrigerator based on the data of the Internet of things can assist a user in health management on the food level based on the daily use. Food information in the refrigerator can be intelligently recorded, and a blending suggestion can be intelligently given according to the food information.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of an intelligent detection method for food stored in a refrigerator based on data of the internet of things, provided by the embodiment of the invention.
Fig. 2 is an internal schematic view of an intelligent detection system for food stored in a refrigerator based on data of the internet of things, provided by the embodiment of the invention.
Fig. 3 is a schematic plan view of an intelligent detection system for food stored in a refrigerator based on data of the internet of things, provided by the embodiment of the invention.
In the figure: 1. a camera; 2. a pressure sensor; 3. a support pillar; 4. a gravity sensor.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides an intelligent detection system and method for food stored in a refrigerator based on data of the Internet of things, and the invention is described in detail with reference to the attached drawings.
As shown in fig. 1, the invention provides a detection method of an intelligent detection system for food stored in a refrigerator based on data of the internet of things, which comprises the following steps:
step one, identifying specific types of food, and classifying and identifying the food by building a neural network model;
step two, combining the weight information to obtain relatively accurate energy data;
and step three, developing and utilizing food information stored in the internal space of the refrigerator based on data acquisition of the Internet of things and giving a blending suggestion.
In the first step, articles are taken and placed on the interlayer, one side of the article where the articles are placed is slightly inclined under stress, the corresponding interlayer pressure sensor judges the number of corresponding interlayers and places specific positions based on the force, and the corresponding positions are subjected to image recognition by the camera on the inner wall of the refrigerator space.
In the second step, the corresponding positions of the food are detected through the induction of a plurality of pressure sensors, and after the whole picture is calibrated according to regions in the previous period, the positioning and the identification are rapidly realized.
In the third step, under the condition that non-food is identified, the system reserves the current spatial position image and the weight information for the next identification and comparison;
in the case where food is identified, the bottommost shelf weight sensor detects the difference in weight before and after and records the comparison.
If the weight is increased compared with the original weight, the food is judged to be put in, and the calorie of the food is comprehensively judged by combining the health data of the user to give a specific diet suggestion;
if the weight is reduced compared with the original weight, judging that the food is taken out, judging that the calorie consumed by the food is taken out by combining the health data of the user, and giving a specific purchasing suggestion;
after the comparison record is finished, the system continuously keeps the current spatial position image and the weight information for the next identification comparison;
if the weight is not changed, the judgment is regarded as misjudgment, misjudgment information is recorded, the current spatial position image and the weight information are continuously kept, and the whole process is finished.
As shown in fig. 2 to 3, the intelligent detection system for food stored in a refrigerator based on data of the internet of things of the present invention includes: camera 1, pressure sensor 2, support column 3, gravity sensor 4.
When the specific type of food needs to be identified, the food is classified and identified by building a neural network model, and relatively accurate energy data is obtained by combining weight information. Food information stored in the internal space of the refrigerator is developed and utilized based on data acquisition of the Internet of things, and a blending suggestion is given.
The refrigerator is hollow in internal space, a plurality of partition plates are distributed in layers, and the partition plates are supported and connected by support columns; pressure sensors are respectively distributed at four corners of each partition plate, and when food is put in, the orientation of the food is comprehensively sensed by three or more sensors; and (4) judging the orientation of the food, quickly positioning the corresponding position of the image during identification, and accurately judging various information of the food. A gravity sensor is arranged on the lower side of the supporting plate of the bottom clapboard and used for sensing the weight change of articles placed in the refrigerator; the camera is placed on the inner wall of the space and used for identifying and distinguishing specific food through images.
The technical solution of the present invention is further described below with reference to examples.
Examples
The invention aims to provide a comprehensive improvement scheme for the space utilization rate of a refrigerator for a user. The user opens the refrigerator and gets to put article on going up the interlayer, and article are placed one side and then the atress takes place slight slope, correspond interlayer pressure sensor then based on this judgement correspond the interlayer number of piles and place concrete position, carry out image recognition to corresponding position by camera on the refrigerator space inner wall. The corresponding positions of food can be detected through the induction of a plurality of pressure sensors, and after the whole picture is calibrated according to regions in the prior period, the positioning and the identification can be quickly realized.
If no food is identified, the system retains the current spatial position image and weight information for the next identification comparison.
In the case where food is identified, the bottommost shelf weight sensor detects the difference in weight before and after and records the comparison.
If the weight is increased compared with the original weight, the food is judged to be put in, and the calorie of the food is comprehensively judged by combining the health data of the user, so that specific dietary suggestions (such as a menu, cooking amount and the like) are given;
if the weight is reduced compared with the original weight, judging that the food is taken out, judging that the calorie consumed by the food is taken out by combining the health data of the user, and giving a specific purchasing suggestion;
after the comparison record is completed, the system continuously keeps the current spatial position image and the weight information for the next identification comparison.
If the weight is not changed, the judgment is regarded as misjudgment, misjudgment information is recorded, the current spatial position image and the weight information are continuously kept, and the whole process is finished.
In the description of the invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the specific embodiments of the invention, but the scope of the invention is not limited thereto, and any modifications, equivalents and improvements made by those skilled in the art within the technical scope of the invention disclosed herein are all within the spirit and principle of the invention.
Claims (8)
1. The detection method of the intelligent detection system for the food stored in the refrigerator based on the data of the Internet of things is characterized in that the intelligent detection system for the food stored in the refrigerator based on the data of the Internet of things is provided with the following components:
the separation device is placed on a refrigerator with a hollow internal space, a plurality of partition plates are distributed in the refrigerator according to layers, and the partition plates are supported and connected through support columns;
in the pressure detection system, pressure sensors are respectively distributed at four corners of each partition plate,
the direction recognition device is used for comprehensively sensing the direction of the food by three or more sensors when the food is put in;
the gravity sensing device is characterized in that a plurality of gravity sensors are arranged on the lower side of the bottom clapboard supporting plate;
the image detection system is arranged on a plurality of cameras on the inner wall of the space in the refrigerator and used for identifying and distinguishing specific foods;
the intelligent detection method for food stored in the refrigerator based on data of the Internet of things comprises the following steps:
step one, identifying specific types of food, and classifying and identifying the food by building a neural network model;
step two, combining the weight information to obtain relatively accurate energy data;
thirdly, developing and utilizing food information stored in the internal space of the refrigerator based on data acquisition of the Internet of things and giving a blending suggestion; in the third step, the first step is carried out,
under the condition that non-food is identified, the system reserves the current spatial position image and weight information for the next identification and comparison;
in the case where food is identified, the bottommost shelf weight sensor detects the difference in weight before and after and records the comparison.
2. The intelligent detection method for the foods stored in the refrigerator based on the data of the internet of things as claimed in claim 1, wherein in the first step, articles are taken and placed on the interlayer, one side where the articles are placed is slightly inclined under stress, the number of the corresponding interlayers and the specific positions where the corresponding interlayer pressure sensors are placed are judged based on the articles, and the corresponding positions are subjected to image recognition by a camera on the inner wall of the space of the refrigerator.
3. The intelligent detection method for foods stored in the refrigerator based on the data of the internet of things as claimed in claim 1, wherein in the second step, the corresponding positions of the foods are detected through the induction of a plurality of pressure sensors, and after the whole picture is calibrated according to regions in the previous period, the positioning and the identification are rapidly realized.
4. The intelligent detection method for food stored in the refrigerator based on the data of the internet of things as claimed in claim 1, wherein if the weight is increased compared with the original weight, the food is judged to be put in, and the calorie of the food is comprehensively judged by combining with the health data of the user to give a specific diet suggestion;
if the weight is reduced compared with the original weight, judging that the food is taken out, judging that the calorie consumed by the food is taken out by combining with the health data of the user, and giving a specific purchase suggestion;
after the comparison record is finished, the system continuously keeps the current spatial position image and the weight information for the next identification comparison;
if the weight is not changed, the judgment is regarded as misjudgment, misjudgment information is recorded, the current spatial position image and the weight information are continuously kept, and the whole process is finished.
5. The refrigerator is provided with the intelligent detection system for the foods stored in the refrigerator based on the data of the internet of things as claimed in claim 1, and is used for implementing the intelligent detection method for the foods stored in the refrigerator based on the data of the internet of things as claimed in claims 1 to 4.
6. A computer device, characterized in that the computer device comprises a memory and a processor, the memory stores a computer program, and the computer program when executed by the processor causes the processor to execute the method for intelligently detecting foods in refrigerator based on data of internet of things according to claims 1-4.
7. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the method for intelligently detecting foods stored in a refrigerator based on data of the internet of things of claims 1-4.
8. An information data processing terminal, characterized in that the information data processing terminal is used for realizing the intelligent detection method for food stored in the refrigerator based on data of the internet of things as claimed in claims 1 to 4.
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| CN202011384327.5A CN112665296B (en) | 2020-12-01 | 2020-12-01 | Refrigerator based on data of Internet of things, and method and medium for intelligently detecting stored food |
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| CN116182463A (en) * | 2021-11-25 | 2023-05-30 | 海信集团控股股份有限公司 | Detection equipment, refrigerator and method for identifying access behaviors of user to food materials in refrigerator |
| CN114353422B (en) * | 2021-12-13 | 2023-01-24 | 珠海格力电器股份有限公司 | Sorting apparatus, refrigerator, sorting method, and storage medium |
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