CN113137824A - Intelligent refrigerator prompting system based on real-time monitoring - Google Patents
Intelligent refrigerator prompting system based on real-time monitoring Download PDFInfo
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- CN113137824A CN113137824A CN202110483593.1A CN202110483593A CN113137824A CN 113137824 A CN113137824 A CN 113137824A CN 202110483593 A CN202110483593 A CN 202110483593A CN 113137824 A CN113137824 A CN 113137824A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 235000013305 food Nutrition 0.000 claims abstract description 222
- 238000001514 detection method Methods 0.000 claims abstract description 89
- 238000004458 analytical method Methods 0.000 claims abstract description 65
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000003709 image segmentation Methods 0.000 claims description 3
- 238000012217 deletion Methods 0.000 claims 1
- 230000037430 deletion Effects 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 235000021409 diet quality Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 235000021190 leftovers Nutrition 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2500/00—Problems to be solved
- F25D2500/06—Stock management
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- Combustion & Propulsion (AREA)
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- Thermal Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
Abstract
The invention discloses an intelligent refrigerator prompting system based on real-time monitoring, and relates to the technical field of intelligent refrigerator prompting. The intelligent refrigerator food image acquisition device comprises an image acquisition device, an intelligent controller and a control module, wherein the image acquisition device is used for acquiring refrigerator food images and transmitting the refrigerator food images to the intelligent controller; the intelligent controller transmits the refrigerator food image to a cloud analysis system; the cloud analysis system stores refrigerator food images into a food monitoring list; shooting time stamps which correspond to the refrigerator food images one to one are stored in the food detection list; and the cloud analysis system judges whether food spoilage exists according to the food material spoilage algorithm. According to the method, when the time difference value between the current time stamp of the food name and the earliest time stamp in the corresponding food detection record is larger than the time threshold value, the corresponding food is rotten; and sends out a food rotten signal to the user; the monitoring of food decay in the refrigerator is improved, and the monitoring of the food safety of the old people living alone is improved.
Description
Technical Field
The invention belongs to the technical field of intelligent refrigerator prompting, and particularly relates to an intelligent refrigerator prompting system based on real-time monitoring.
Background
In recent years, the elderly have a larger and larger living proportion, and children are not around the elderly all the year round. Children and children are very concerned about the life of the old, and especially worry about the diet quality of the old. For the old, the life is frugal, especially leftovers are eaten for several days, which is not good for health. In most cases, children and children frequently make telephone calls to inquire, but sometimes the old people cannot be contacted in time to know the diet condition of the old people due to work or life, and troubles are brought to the children living alone.
The invention provides an intelligent refrigerator prompting system based on real-time monitoring, which does not solve the problems.
Disclosure of Invention
The invention aims to provide an intelligent refrigerator prompting system based on real-time monitoring, which is characterized in that when the time difference value between the time stamp of the current food name and the earliest time stamp in the corresponding food detection record is judged to be larger than a time threshold value, the corresponding food is rotten; and sends out a food rotten signal to the user; the monitoring of food decay in the refrigerator is improved.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to an intelligent refrigerator prompting system based on real-time monitoring, which comprises: the image acquisition equipment is used for acquiring refrigerator food images and transmitting the refrigerator food images to the intelligent controller; the intelligent controller transmits the refrigerator food image to a cloud analysis system;
the cloud analysis system stores refrigerator food images into a food monitoring list; shooting time stamps which correspond to the refrigerator food images one to one are stored in the food detection list; the cloud analysis system judges whether food spoilage exists or not according to a food material spoilage algorithm; if yes, the cloud analysis system transmits prompt information to the user terminal.
As a preferred technical solution, the food material spoilage algorithm comprises the following processes:
a00: the cloud analysis system identifies refrigerator food images to obtain various food names;
a01: the cloud analysis system adds the food name and the corresponding timestamp to a food detection table;
wherein the food test table stores food test records; any food detection record comprises a food name and a plurality of continuous detection time stamps;
a02: the cloud analysis system judges whether food rot exists in the food detection table; if yes, A03 is executed; if not, executing A04;
a03: the cloud analysis system sends decay reminding information to the user terminal and transmits a food decay signal to the intelligent controller;
wherein, the decay reminding information comprises a food name and a plurality of timestamps corresponding to the food name;
a04: transmitting the food safety signal to the intelligent controller.
As a preferred technical solution, a00 specifically includes the following: a food identification module and a food image library are arranged in the cloud analysis system; the image segmentation module compares the refrigerator food image with the food image library to obtain a plurality of food names.
As a preferred technical scheme, a detection analysis module is arranged in the cloud analysis system and is used for detecting and analyzing food detection records in a food detection table;
the specific process in A01 is as follows:
b00: the detection analysis module judges whether the food name is in the food detection table or not; if yes, execute B01; if not, execute B02;
b01: the detection analysis module adds a current timestamp after the current food name corresponds to the food detection record;
b02: the detection analysis module establishes a food detection record according to the current food name and the timestamp of the food name and stores the food detection record into a food detection table;
b03: and the detection analysis module adds an empty record to the food detection record without the newly added timestamp in the food detection table.
As a preferred technical scheme, the cloud analysis system detects two consecutive empty records of the food detection record, and then controls to delete the current food detection record.
As a preferred technical scheme, a food quality guarantee table is arranged in the cloud analysis system; the time threshold value of the food which is not deteriorated is stored in the food quality guarantee table; the specific process of A02 is as follows:
c00: the detection analysis module calculates the time difference value between the timestamp of the current food name and the earliest timestamp in the corresponding food detection record;
c01: the detection analysis module inquires a time threshold corresponding to the current food name;
c02: the detection analysis module judges whether the time difference value is greater than or equal to a time threshold value; if yes, the current food name is rotten food; if not, the current food name is food safety.
As a preferred technical solution, the decay reminding information in a03 includes food names and corresponding food detection records.
As a preferred technical scheme, when the intelligent controller receives a food rotting signal and the user opens the refrigerator door again, the intelligent controller controls the voice module to play voice reminding information; the voice reminding information comprises rotting reminding information.
As a preferable technical solution, in a00, the refrigerator food image is captured by the image capture device according to the capture threshold at regular time.
As a preferred technical scheme, a preset value module is arranged on the intelligent controller; the preset value module is used for setting a shooting threshold value.
The invention has the following beneficial effects:
1. the refrigerator food image is identified through the cloud analysis system to obtain various food names; adding the food name and the corresponding timestamp thereof into a food detection table; when the time difference value between the timestamp of the current food name and the earliest timestamp in the corresponding food detection record is larger than a time threshold value, the corresponding food is rotten; and sends out a food rotten signal to the user; the monitoring of food decay in the refrigerator is improved, and the monitoring of the food safety of the old people living alone is improved.
2. If the cloud analysis system detects two continuous empty records of the food detection records, the current food detection record is controlled to be deleted; the current food name is completely used or cleared, and the corresponding food detection record is detected and cleared each time, so that the management overhead is reduced, and the monitoring efficiency is improved.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings 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 that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an intelligent refrigerator prompting system based on real-time monitoring according to the present invention;
FIG. 2 is a flow chart of a food material spoilage algorithm in the present invention;
FIG. 3 is a flowchart illustrating a specific process in A01 according to the present invention;
fig. 4 is a flowchart of a specific process in a02 according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is an intelligent refrigerator prompting system based on real-time monitoring, including: the system comprises image acquisition equipment and a cloud analysis system; the image acquisition equipment is used for acquiring refrigerator food images and transmitting the refrigerator food images to the intelligent controller; the intelligent controller transmits the refrigerator food image to the cloud analysis system; the cloud analysis system stores refrigerator food images into a food monitoring list; shooting time stamps which correspond to the refrigerator food images one to one are stored in the food detection list; the cloud analysis system judges whether food spoilage exists or not according to the food material spoilage algorithm; if yes, the cloud analysis system transmits prompt information to the user terminal.
Referring to fig. 2, the food material spoilage algorithm includes the following steps:
a00: the cloud analysis system identifies refrigerator food images to obtain various food names; a00 specifically includes the following: a food identification module and a food image library are arranged in the cloud analysis system; the image segmentation module compares the refrigerator food image with a food image library to obtain a plurality of food names;
a01: the cloud analysis system adds the food name and the corresponding timestamp to a food detection table;
wherein the food detection table stores food detection records; any food detection record comprises a food name and a plurality of continuous detection time stamps;
a02: the cloud analysis system judges whether food rot exists in the food detection table; if yes, A03 is executed; if not, executing A04;
a03: the cloud analysis system sends decay reminding information to the user terminal and transmits a food decay signal to the intelligent controller;
the decay reminding information comprises a food name and a plurality of timestamps corresponding to the food name;
a04: transmitting the food safety signal to the intelligent controller.
Referring to fig. 3, the specific process in a01 is as follows:
b00: the detection analysis module judges whether the food name is in the food detection table or not; if yes, execute B01; if not, execute B02;
b01: the detection analysis module adds a current timestamp after the current food name corresponds to the food detection record;
b02: the detection analysis module establishes a food detection record according to the current food name and the timestamp of the food name and stores the food detection record into a food detection table;
b03: and the detection analysis module adds an empty record to the food detection record without the newly added timestamp in the food detection table.
In addition, if the cloud analysis system detects two continuous empty records of the food detection records, the current food detection record is controlled to be deleted; at the moment, the current food name is completely used or cleared, and the corresponding food detection record is detected and cleared each time, so that the management overhead is reduced, and the monitoring efficiency is improved.
Referring to fig. 4, a food quality guarantee table is arranged in the cloud analysis system; storing a time threshold value of the food which is not deteriorated in quality in the food quality guarantee table; the specific process of A02 is as follows:
c00: the detection analysis module calculates the time difference value between the timestamp of the current food name and the earliest timestamp in the corresponding food detection record;
c01: the detection analysis module inquires a time threshold corresponding to the current food name;
c02: the detection analysis module judges whether the time difference value is greater than or equal to a time threshold value; if yes, the current food name is rotten food; if not, the current food name is food safety.
As a preferred embodiment, the decay reminding information in a03 comprises food names and corresponding food detection records; in addition, after the intelligent controller receives the food rotting signal, when the user opens the refrigerator door again, the intelligent controller controls the voice module to play voice reminding information; the voice reminding information is played, so that a user can be reminded of clearly rotten food, and the voice reminding information is convenient and practical; the voice reminding information comprises decay reminding information.
As a preferred embodiment, the refrigerator food image is obtained by the image acquisition device by shooting at regular time according to the shooting threshold; the intelligent controller is provided with a preset value module; the preset value module is used for setting a shooting threshold value; time is conveniently modified according to actual needs so as to improve detection and control effects.
When the refrigerator food name recognition system is actually used, the refrigerator food image is recognized through the cloud analysis system to obtain various food names; adding the food name and the corresponding timestamp thereof into a food detection table; when the time difference value between the timestamp of the current food name and the earliest timestamp in the corresponding food detection record is larger than a time threshold value, the corresponding food is rotten; and sends out a food rotten signal to the user; the monitoring of food decay in the refrigerator is improved, and the monitoring of the food safety of the old people living alone is improved.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (10)
1. Intelligent refrigerator reminder system based on real time monitoring, its characterized in that includes:
the image acquisition equipment is used for acquiring refrigerator food images and transmitting the refrigerator food images to the intelligent controller; the intelligent controller transmits the refrigerator food image to a cloud analysis system;
the cloud analysis system stores refrigerator food images into a food monitoring list; shooting time stamps which correspond to the refrigerator food images one to one are stored in the food detection list;
the cloud analysis system judges whether food spoilage exists or not according to a food material spoilage algorithm; if yes, the cloud analysis system transmits prompt information to the user terminal.
2. The intelligent refrigerator prompting system based on real-time monitoring as claimed in claim 1, wherein the food material spoilage algorithm comprises the following processes:
a00: the cloud analysis system identifies refrigerator food images to obtain various food names;
a01: the cloud analysis system adds the food name and the corresponding timestamp to a food detection table;
wherein the food test table stores food test records; any food detection record comprises a food name and a plurality of continuous detection time stamps;
a02: the cloud analysis system judges whether food rot exists in the food detection table; if yes, A03 is executed; if not, executing A04;
a03: the cloud analysis system sends decay reminding information to the user terminal and transmits a food decay signal to the intelligent controller;
wherein, the decay reminding information comprises a food name and a plurality of timestamps corresponding to the food name;
a04: transmitting the food safety signal to the intelligent controller.
3. The intelligent refrigerator prompting system based on real-time monitoring as claimed in claim 2, wherein a00 specifically comprises the following: a food identification module and a food image library are arranged in the cloud analysis system; the image segmentation module compares the refrigerator food image with the food image library to obtain a plurality of food names.
4. The intelligent refrigerator prompting system based on real-time monitoring as claimed in claim 3, wherein a detection and analysis module is arranged in the cloud analysis system and is used for detecting and analyzing food detection records in a food detection table;
the specific process in A01 is as follows:
b00: the detection analysis module judges whether the food name is in the food detection table or not; if yes, execute B01; if not, execute B02;
b01: the detection analysis module adds a current timestamp after the current food name corresponds to the food detection record;
b02: the detection analysis module establishes a food detection record according to the current food name and the timestamp of the food name and stores the food detection record into a food detection table;
b03: and the detection analysis module adds an empty record to the food detection record without the newly added timestamp in the food detection table.
5. The intelligent refrigerator prompting system based on real-time monitoring of claim 4, wherein the cloud analysis system detects two consecutive empty records of food detection records, and then controls deletion of the current food detection record.
6. The intelligent refrigerator prompting system based on real-time monitoring of claim 5, wherein a food quality guarantee table is arranged in the cloud analysis system; the time threshold value of the food which is not deteriorated is stored in the food quality guarantee table; the specific process of A02 is as follows:
c00: the detection analysis module calculates the time difference value between the timestamp of the current food name and the earliest timestamp in the corresponding food detection record;
c01: the detection analysis module inquires a time threshold corresponding to the current food name;
c02: the detection analysis module judges whether the time difference value is greater than or equal to a time threshold value; if yes, the current food name is rotten food; if not, the current food name is food safety.
7. The intelligent refrigerator prompting system based on real-time monitoring as claimed in claim 6, wherein the decay reminding information in A03 comprises food names and corresponding food detection records.
8. The intelligent refrigerator prompting system based on real-time monitoring as claimed in claim 2 or 7, wherein when the user opens the refrigerator door again after the intelligent controller receives the food decay signal, the intelligent controller controls the voice module to play the voice prompt message; the voice reminding information comprises rotting reminding information.
9. The intelligent refrigerator prompting system based on real-time monitoring as claimed in claim 8, wherein in a00, the refrigerator food image is captured by the image capture device according to the capture threshold at regular time.
10. The intelligent refrigerator prompting system based on real-time monitoring of claim 9, wherein a preset value module is arranged on the intelligent controller; the preset value module is used for setting a shooting threshold value.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110483593.1A CN113137824A (en) | 2021-04-30 | 2021-04-30 | Intelligent refrigerator prompting system based on real-time monitoring |
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| CN202110483593.1A CN113137824A (en) | 2021-04-30 | 2021-04-30 | Intelligent refrigerator prompting system based on real-time monitoring |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090020935A (en) * | 2007-08-24 | 2009-02-27 | 엘지전자 주식회사 | Refrigerator and method of controlling the same |
| US20120104023A1 (en) * | 2010-10-29 | 2012-05-03 | Whirlpool Corporation | Beverage dispensing system with machine vision |
| CN103604271A (en) * | 2013-11-07 | 2014-02-26 | 四川长虹电器股份有限公司 | Intelligent-refrigerator based food recognition method |
| CN107477971A (en) * | 2017-08-04 | 2017-12-15 | 三星电子（中国）研发中心 | A kind of management method and equipment to food in refrigerator |
| CN108759294A (en) * | 2018-07-14 | 2018-11-06 | 王长贵 | A kind of refrigerator intelligent recognition and management system |
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2021
- 2021-04-30 CN CN202110483593.1A patent/CN113137824A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090020935A (en) * | 2007-08-24 | 2009-02-27 | 엘지전자 주식회사 | Refrigerator and method of controlling the same |
| US20120104023A1 (en) * | 2010-10-29 | 2012-05-03 | Whirlpool Corporation | Beverage dispensing system with machine vision |
| CN103604271A (en) * | 2013-11-07 | 2014-02-26 | 四川长虹电器股份有限公司 | Intelligent-refrigerator based food recognition method |
| CN107477971A (en) * | 2017-08-04 | 2017-12-15 | 三星电子（中国）研发中心 | A kind of management method and equipment to food in refrigerator |
| CN108759294A (en) * | 2018-07-14 | 2018-11-06 | 王长贵 | A kind of refrigerator intelligent recognition and management system |
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Application publication date: 20210720 |