CN114739083A - Intelligent refrigerator system and control method thereof - Google Patents
Intelligent refrigerator system and control method thereof Download PDFInfo
- Publication number
- CN114739083A CN114739083A CN202210386022.0A CN202210386022A CN114739083A CN 114739083 A CN114739083 A CN 114739083A CN 202210386022 A CN202210386022 A CN 202210386022A CN 114739083 A CN114739083 A CN 114739083A
- Authority
- CN
- China
- Prior art keywords
- refrigerator
- information
- freezer
- platform
- equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- F25D11/00—Self-contained movable devices, e.g. domestic refrigerators
-
- 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
- F25D29/005—Mounting of control devices
-
- 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
-
- 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
- F25D2600/00—Control issues
- F25D2600/02—Timing
-
- 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
- F25D2700/00—Means for sensing or measuring; Sensors therefor
- F25D2700/02—Sensors detecting door opening
-
- 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
- F25D2700/00—Means for sensing or measuring; Sensors therefor
- F25D2700/12—Sensors measuring the inside temperature
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B40/00—Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
Abstract
The invention discloses an intelligent refrigerator system and a control method, the intelligent refrigerator system comprises a mobile terminal, a refrigerator platform and refrigerator terminal equipment, the refrigerator platform is in communication connection with the refrigerator terminal equipment, the refrigerator terminal equipment comprises an information acquisition module, an information transmission module, a differential refrigeration module and a door lock control module, the mobile terminal is in communication connection with a refrigerator through a small program, and the refrigerator control platform can realize the functions of door lock instruction issuing, configuration information acquisition, refrigerator equipment information acquisition, refrigerator big data modeling and state information pushing. Big data modeling is carried out on the refrigerator equipment through the information collected at the refrigerator equipment end, and a refrigeration scheme which best meets the refrigerator equipment can be timely formulated. And through adding lock module, realized the intelligent control of freezer equipment, promote user's use and experience.
Description
Technical Field
The invention relates to the technical field of refrigerator equipment, in particular to an intelligent refrigerator system and a control method thereof.
Background
With the rapid development of intelligent new retail, the rising of offline retail cost and the impact of networking electric power companies, offline retail industry is in an atrophied state. The intelligent refrigerator becomes a common storage device applied to the field of refrigerators, the conventional refrigerator is usually sealed by a glass door which is open or provided with a handle, the open type cold quantity is diffused greatly, the energy consumption is high, the glass door with the handle is needed, a customer needs to manually open or close the glass door, on one hand, the separation between commodities and the customer is easy to be caused, on the other hand, a large amount of cold air in the refrigerator leaks out when the customer opens the glass door, the temperature in the refrigerator rises, and the deterioration or damage of articles in the refrigerator is easy to be caused after the temperature in the refrigerator is reduced to a proper temperature in a long time. Therefore, there is a need to improve the existing refrigerator control system and control method, so as to improve the user experience, improve the food freshness, and realize energy saving and intelligence of the refrigerator device.
The prior patents, publication numbers: CN110096015A, name: according to the patent scheme, an access control unit and a main control unit are added, so that intelligent control over a refrigerator is achieved, and data acquisition of the refrigerator is achieved. Although the control of the refrigerator is realized by adding the access control unit and the main control unit, the difference of the refrigeration demands of the refrigerator in two states of opening and closing the door is not considered to be large, and a different refrigeration mode is not formulated according to the large scene. And 2, the information acquired by the patent is limited, only temperature and door lock state information are acquired, humidity information is not acquired, the complete refrigeration model modeling is not supported, and the big data analysis of equipment of the refrigerator cannot be realized. And 3, the patent does not have a mechanism for updating the refrigeration mode in real time, and the intellectualization and the mobility of the refrigeration mode of the refrigerator cannot be realized.
The prior patents, publication numbers: CN109682146A, name: according to the refrigerator and the refrigerator control method, the door opening and closing states of the refrigerator are distinguished by adding the detection assembly, and the door opening high-speed refrigeration mode is added, so that the differentiated refrigeration mode of a door opening and closing scene is realized. This patent mainly has 2 shortcomings, shortcoming 1, and this patent has realized the differentiation refrigeration mode of freezer through the determine module, but this patent does not gather temperature, lock, door magnetism, humidity information, does not support perfect refrigeration model to build a model, can not realize the big data analysis to the equipment of freezer. And 2, the patent does not have a mechanism for updating the refrigeration mode in real time, and the intellectualization and the mobility of the refrigeration mode of the refrigerator cannot be realized.
The prior patents, publication numbers: CN112444034A, name: according to the patent scheme, the intelligent control of the refrigerator is realized by adding the loading mechanism, and meanwhile, the problem of temperature difference in the refrigerator is reduced by the loading mechanism. This patent mainly has 3 shortcomings, shortcoming 1, and this patent is through adding year thing mechanism, has realized the intelligent control of freezer, has reduced the problem of temperature difference in the freezer through carrying thing mechanism simultaneously, but this patent, it is great not considering the freezer to open the door and close the refrigeration demand difference under the door two kinds of states, does not formulate the refrigeration mode of difference according to this kind of great scene. And 2, the patent does not collect temperature, door lock, door magnet and humidity information, does not support perfect refrigeration model modeling, and cannot realize big data analysis of equipment of the refrigerator. And 3, the patent does not have a mechanism for updating the refrigeration mode in real time, and the intellectualization and the mobility of the refrigeration mode of the refrigerator cannot be realized.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent refrigerator system and a control method, wherein big data modeling is carried out on refrigerator equipment through information collected at a refrigerator equipment end, and a refrigeration scheme most conforming to the refrigerator equipment can be made in time. And through adding lock module, realized the intelligent control of freezer equipment, promote user's use and experience. Meanwhile, different refrigeration modes are added at the refrigerator equipment end, different refrigeration modes are executed according to the door opening and closing state of the refrigerator equipment, and the freshness of stored food is improved. In order to achieve the technical effects, the invention provides the following technical scheme:
the utility model provides an intelligent freezer system, includes mobile terminal, freezer platform and freezer terminal equipment, the freezer platform with freezer terminal equipment communication connection, freezer terminal equipment includes information acquisition module, information transmission module, differentiation refrigeration module, lock control module, mobile terminal with the freezer carries out communication connection through the applet, freezer control platform can realize that the lock instruction is issued, configuration information acquires, gathers freezer equipment information, the big data modeling of freezer and state information propelling movement function.
The technical scheme is that the refrigerator comprises an information acquisition module, an information transmission module and a refrigerator platform, wherein the information acquisition module is used for acquiring position information, temperature information, humidity information, door lock state information and door magnet state information of refrigerator equipment, and the information transmission module is used for transmitting information acquired by the information acquisition module to the refrigerator platform.
The further technical scheme is that the differential refrigeration module is used for realizing a normal refrigeration mode and a high-speed refrigeration mode.
The further technical scheme is that the door lock control module is used for controlling the opening and closing of a door lock of the refrigeration cabinet equipment.
The refrigerator platform can carry out intelligent analysis through the collected refrigerator information and judge whether the refrigeration mode needs to be updated or not.
The invention also provides an intelligent refrigerator control method, which comprises the following steps:
(1) starting service of the refrigerator platform, and initializing platform configuration information;
(2) starting a refrigerator terminal, acquiring configuration information of the refrigerator through a platform, and initializing the refrigerator;
(3) starting a data acquisition service by the refrigerator platform;
(4) a freezer opening state reporting timer is used for detecting and reporting freezer state information at regular time;
(5) the refrigerator acquires position information and uploads the position information to the platform;
(6) the refrigerator platform acquires local weather information including air humidity information according to the acquired configuration information of the refrigerator equipment;
(7) the refrigerator platform stores the acquired refrigerator equipment information in a cloud database;
(8) the refrigerator platform performs data analysis through cloud platform intelligent service according to data information acquired by equipment, performs big data modeling, acquires a final score according to a modeling rule, determines a closest refrigeration mode by combining a score table generated by a data model generated by data of offline refrigerator hardware laboratory test, and issues a refrigeration mode updating instruction if the determined refrigeration mode is different from the refrigeration mode of the current refrigerator hardware;
(9) the refrigerator receives a door opening instruction and opens the refrigerator;
(10) the refrigerator judges the door opening and closing state of the refrigerator according to the states of the door lock and the door magnet, the refrigeration assembly enters a high-speed refrigeration mode when the refrigerator is in the door opening state, and the refrigeration assembly enters a normal refrigeration mode when the refrigerator is in the door closing state;
(11) after the refrigerator is closed, the refrigerator refrigerating assembly enters a normal refrigerating mode.
The further technical scheme is that the refrigerator state information in the step (4) comprises the temperature, door lock and door magnet state information of the refrigerator.
The further technical scheme is that the information of the refrigerator equipment in the step (7) comprises the temperature, door lock, door magnet, position and air humidity information of the refrigerator equipment.
The intelligent refrigeration process comprises the following steps:
the off-line refrigerator hardware testing room can set various scenes, each scene carries out timing detection aiming at different humidity, temperature and door lock states, detected data are uploaded to a refrigerator cloud platform, the refrigerator cloud platform generates a data model according to the detected data, a score table is generated according to the data model and stored in a platform database, and each score corresponds to a scene of four degrees, temperature and door lock states;
the refrigerator equipment uploads the configuration information of the refrigerator equipment, temperature, door lock, door magnet, position and air humidity information which are acquired in real time to the platform, the platform performs data analysis through cloud platform intelligent service, big data modeling is performed, and a final score is obtained according to a modeling rule;
comparing the value obtained by the refrigerator equipment with a value table generated by an offline laboratory, determining a closest value, and obtaining a corresponding refrigeration mode according to the value after determining the value;
and judging whether the number of the refrigeration mode of the current refrigerator is consistent with the number of the latest refrigeration mode, if not, issuing a command of updating the refrigeration mode to the refrigerator equipment by the cloud platform, updating the refrigeration mode by the refrigerator equipment, and if so, not processing.
Compared with the prior art, the method has the following beneficial effects: according to the invention, a differentiated refrigeration mode is added at the equipment terminal, the door opening and closing state of the refrigerator equipment is intelligently judged according to the information collected by the refrigerator equipment terminal, different refrigeration modes are executed, the high-speed refrigeration mode is executed in the refrigerator door opening scene, and the normal refrigeration mode is executed in the refrigerator door closing scene, so that the freshness of stored food is improved; the method comprises the steps of adding humidity and position information acquisition at an equipment end, carrying out big data modeling on refrigerator equipment according to the information acquired by the refrigerator equipment end, simultaneously providing the modeled information to an offline laboratory as a data base of the offline laboratory, forming a refrigeration mode contrast score table according to a test result of the offline laboratory, and providing a refrigeration mode library for updating the refrigeration mode in real time; through position acquisition, intelligent control of the refrigerator can be associated with areas, the refrigerator can form different refrigeration effects in different regions in the same refrigeration mode, and the intelligent refrigeration mode most suitable for customers can be recommended more accurately by adding position information in the data modeling process; through gathering humidity information, can be related to the intelligent control of freezer with local weather and customer's family environment, in same region, different weather and different families, the refrigeration mode that needs is the differentiation, through gathering humidity information, can be more accurate recommend the intelligent refrigeration mode that is most suitable for the customer.
Drawings
Fig. 1 is a flow chart of a conventional refrigerator control method;
fig. 2 is a flowchart of a freezer control method of the present application;
fig. 3 is a prior art freezer system frame diagram;
fig. 4 is a frame diagram of a freezer system of the present application.
Detailed Description
The invention will be further explained and explained with reference to the drawings and the embodiments.
Example 1
As shown in fig. 4, this application provides an intelligent freezer system, including mobile terminal, freezer platform and freezer terminal equipment, the freezer platform with freezer terminal equipment communication connection, freezer terminal equipment includes information acquisition module, information transmission module, differentiation refrigeration module, door lock control module, mobile terminal with the freezer carries out communication connection through the applet, freezer control platform can realize that the lock instruction is issued, configuration information acquires, gathers freezer equipment information, freezer big data modeling and state information propelling movement function. The information acquisition module is used for acquiring position information, temperature information, humidity information, door lock state information and door magnetic state information of the refrigerator equipment, and the information transmission module is used for transmitting the information acquired by the information acquisition module to the refrigerator platform. The differential refrigeration module is used for realizing a normal refrigeration mode and a high-speed refrigeration mode. The door lock control module is used for controlling the opening and closing of a door lock of the refrigeration cabinet equipment. The refrigerator platform can carry out intelligent analysis through the refrigerator information of gathering, judges whether need to update the refrigeration mode.
Example 2
As shown in fig. 2, the present application provides a control method for an intelligent refrigerator, comprising the following steps:
1. starting service of the refrigerator platform, and initializing platform configuration information;
2. starting a refrigerating freezer, acquiring configuration information of the intelligent freezer through a platform, and initializing the freezer;
3. starting a data acquisition service by the refrigerator platform;
4. the refrigerator opening state reporting timer is used for regularly detecting and reporting the temperature of the refrigerator, the door lock and the door magnet state information;
5. the refrigerator acquires position information and uploads the position information to the platform;
6. the refrigerator platform acquires local weather information including air humidity information according to the acquired configuration information of the refrigerator equipment;
7. the refrigerator platform stores the acquired information of the temperature, the door lock, the door magnet, the position and the air humidity of the refrigerator equipment in a cloud database;
8. the refrigerator platform carries out data analysis through cloud platform intelligent service according to data information acquired by equipment, carries out big data modeling, obtains a final score according to a modeling rule, determines a closest refrigeration mode by combining a score table generated by a data model generated by data tested by an offline refrigerator hardware laboratory, and issues a refrigeration mode updating instruction if the determined refrigeration mode is different from the refrigeration mode of the current refrigerator hardware;
9. the refrigerator receives a door opening instruction and opens the refrigerator;
10. the refrigerator judges the door opening and closing state of the refrigerator according to the states of the door lock and the door magnet, the refrigeration assembly enters a high-speed refrigeration mode when the refrigerator is in the door opening state, and the refrigeration assembly enters a normal refrigeration mode when the refrigerator is in the door closing state;
11. after the refrigerator is closed, the refrigerator refrigerating assembly enters a normal refrigerating mode.
The intelligent refrigeration process comprises the following steps:
1. the off-line refrigerator hardware test room can set various scenes, each scene carries out timing detection aiming at different humidity, temperature and door lock states, detected data are uploaded to a refrigerator cloud platform, the refrigerator cloud platform generates a data model according to the detected data, a score table is generated according to the data model and stored in a platform database, and each score corresponds to a scene of four degrees, temperature and door lock states respectively;
2. the refrigerator equipment uploads the configuration information of the refrigerator equipment, temperature, door lock, door magnet, position and air humidity information which are acquired in real time to the platform, the platform performs data analysis through cloud platform intelligent service, big data modeling is performed, and a final score is obtained according to a modeling rule;
3. comparing the score obtained by the refrigerator equipment with a score table generated by an offline laboratory, determining a closest score, and obtaining a corresponding refrigeration mode according to the score after determining the score;
4. judging whether the number of the refrigeration mode of the current refrigerator is consistent with the number of the latest refrigeration mode, if not, issuing a command of updating the refrigeration mode to refrigerator equipment by the cloud platform, updating the refrigeration mode by the refrigerator equipment, and if so, not processing
Example 3
The user sweeps a yard and opens the freezer, opens the freezer and selects articles for a long time, the freezer is in a door opening state for 10 minutes, and the freezer is closed after the user selects the articles. The scenario is as follows:
1. starting service of the refrigerator platform, and initializing platform configuration information;
2. starting a refrigerating freezer, acquiring configuration information of the intelligent freezer through a platform, and initializing the freezer;
3. starting a data acquisition service by the refrigerator platform;
4. the refrigerator opening state reporting timer is used for regularly detecting and reporting the temperature of the refrigerator, the door lock and the door magnet state information;
5. the refrigerator acquires position information and uploads the position information to the platform;
6. the refrigerator platform acquires local weather information including air humidity information according to the acquired configuration information of the refrigerator equipment;
7. the refrigerator platform stores the acquired information of the temperature, the door lock, the door magnet, the position and the air humidity of the refrigerator equipment in a cloud database;
8. the refrigerator platform performs data analysis through cloud platform intelligent service according to data information acquired by the equipment, and the current refrigeration mode is not updated;
9. the refrigerator receives a door opening instruction and opens the refrigerator;
10. a user opens a door of the refrigerator, the refrigerator is detected according to the door magnet and the door lock state, the refrigerator is in a door opening state at present, and a refrigeration assembly of the refrigerator enters a high-speed refrigeration mode;
11. the user selects article and finishes, closes the freezer, and the freezer detects according to door magnetism and lock state, and present freezer is in the state of closing the door, and freezer refrigeration subassembly gets into normal refrigeration mode.
Example 4
The refrigerator is started to run for the first time, the factory address of the refrigerator is in the state of fertilizer combination, the formal running address of the refrigerator is in Guangzhou, the default refrigerating mode of the refrigerator is generated according to the scene of fertilizer combination, and the refrigerating mode is updated after the refrigerator is started in Guangzhou. The scenario is as follows:
1. starting service of the refrigerator platform, and initializing platform configuration information;
2. starting a refrigerating refrigerator, acquiring configuration information of the intelligent refrigerator through a platform, and initializing the refrigerator;
3. starting a data acquisition service by the refrigerator platform;
4. the refrigerator opening state reporting timer is used for regularly detecting and reporting the temperature of the refrigerator, the door lock and the door magnet state information;
5. the refrigerator acquires position information and uploads the position information to the platform;
6. the refrigerator platform acquires local weather information including air humidity information according to the acquired configuration information of the refrigerator equipment;
7. the refrigerator platform stores the acquired information of the temperature, the door lock, the door magnet, the position and the air humidity of the refrigerator equipment in a cloud database;
8. the refrigerator platform carries out data analysis through cloud platform intelligent service according to data information acquired by equipment, current numerical values are obtained through big data modeling due to the fact that the difference between the weather information of Guangzhou and the weather information of joint fertilizer is large, the difference between the humidity information and the temperature information of air is large, the current numerical values are compared with a numerical value table of a hardware testing room, a latest refrigeration mode is determined, the refrigeration mode is updated, and the platform issues an instruction for updating the refrigeration mode to the refrigerator equipment;
9. the refrigerator receives a refrigeration mode updating instruction and updates a new refrigeration mode;
10. the freezer operates according to the updated refrigeration mode.
Although the present invention has been described herein with reference to the illustrated embodiments thereof, which are intended to be preferred embodiments of the present invention, it is to be understood that the invention is not limited thereto, and that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure.
Claims (8)
1. The utility model provides an intelligent freezer system, its characterized in that, includes mobile terminal, freezer platform and freezer terminal equipment, the freezer platform with freezer terminal equipment communication connection, freezer terminal equipment includes information acquisition module, information transmission module, differentiation refrigeration module, door lock control module, mobile terminal with the freezer carries out communication connection through the applet, freezer control platform can realize that the lock instruction is issued, configuration information acquires, gathers freezer equipment information, the big data modeling of freezer and state information propelling movement function.
2. The intelligent freezer system of claim 1, wherein the information acquisition module is used for acquiring position information, temperature information, humidity information, door lock state information and door magnetic state information of the freezer equipment, and the information transmission module is used for transmitting the information acquired by the information acquisition module to the freezer platform.
3. The intelligent cooler system of claim 1, wherein the differentiated refrigeration module is configured to implement a normal refrigeration mode and a high speed refrigeration mode.
4. The intelligent cooler system of claim 1, wherein the door lock control module is configured to control opening and closing of a cooler device door lock.
5. The intelligent freezer system of claim 1, wherein the freezer platform can determine whether the refrigeration mode needs to be updated by collecting freezer information and performing intelligent analysis.
6. An intelligent refrigerator control method is characterized by comprising the following steps:
(1) starting service of the refrigerator platform, and initializing platform configuration information;
(2) starting a refrigerator terminal, acquiring configuration information of the refrigerator through a platform, and initializing the refrigerator;
(3) starting a data acquisition service by the refrigerator platform;
(4) a freezer opening state reporting timer is used for detecting and reporting freezer state information at regular time;
(5) the refrigerator acquires position information and uploads the position information to the platform;
(6) the refrigerator platform acquires local weather information including air humidity information according to the acquired configuration information of the refrigerator equipment;
(7) the refrigerator platform stores the acquired refrigerator equipment information in a cloud database;
(8) the refrigerator platform carries out data analysis through cloud platform intelligent service according to data information acquired by equipment, carries out big data modeling, obtains a final score according to a modeling rule, determines a closest refrigeration mode by combining a score table generated by a data model generated by data tested by an offline refrigerator hardware laboratory, and issues a refrigeration mode updating instruction if the determined refrigeration mode is different from the refrigeration mode of the current refrigerator hardware;
(9) the refrigerator receives a door opening instruction and opens the refrigerator;
(10) the refrigerator judges the door opening and closing state of the refrigerator according to the states of the door lock and the door magnet, the refrigeration assembly enters a high-speed refrigeration mode when the refrigerator is in the door opening state, and the refrigeration assembly enters a normal refrigeration mode when the refrigerator is in the door closing state;
(11) after the refrigerator is closed, the refrigerator refrigerating assembly enters a normal refrigerating mode.
7. The intelligent refrigerator control method of claim 6, wherein the refrigerator status information in step (4) includes the temperature of the refrigerator, the door lock, and the door magnet status information.
8. The intelligent refrigerator control method of claim 6, wherein the refrigerator device information in step (7) includes temperature, door lock, door magnet, position, air humidity information of the refrigerator device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210386022.0A CN114739083B (en) | 2022-04-13 | 2022-04-13 | Intelligent refrigerator system and control method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210386022.0A CN114739083B (en) | 2022-04-13 | 2022-04-13 | Intelligent refrigerator system and control method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114739083A true CN114739083A (en) | 2022-07-12 |
| CN114739083B CN114739083B (en) | 2023-05-23 |
Family
ID=82281443
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210386022.0A Active CN114739083B (en) | 2022-04-13 | 2022-04-13 | Intelligent refrigerator system and control method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114739083B (en) |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202815521U (en) * | 2012-06-06 | 2013-03-20 | 海尔集团公司 | Remote cooler management system |
| CN103017442A (en) * | 2012-12-13 | 2013-04-03 | 合肥美的荣事达电冰箱有限公司 | Refrigerator with forced refrigerating function and control method thereof |
| JP2013242058A (en) * | 2012-05-18 | 2013-12-05 | Panasonic Corp | Refrigerator |
| CN103591764A (en) * | 2013-11-06 | 2014-02-19 | 徐州汉和信息科技有限公司 | Method for controlling household refrigerator remotely |
| CN103900320A (en) * | 2014-04-01 | 2014-07-02 | 杭州泽大仪器有限公司 | Intelligent regulatory controlling and monitoring system of medical reefer and application method of intelligent regulator controlling and monitoring system |
| CN104807285A (en) * | 2015-04-30 | 2015-07-29 | 青岛海尔股份有限公司 | Refrigerator and control method thereof |
| KR20150138474A (en) * | 2014-05-29 | 2015-12-10 | 주식회사 대유위니아 | Apparatus for controlling refrigerator |
| CN105573217A (en) * | 2016-02-01 | 2016-05-11 | 澳柯玛股份有限公司 | Cold chain display cabinet with door switch control system and control method of cold chain display cabinet |
| CN205843181U (en) * | 2016-06-07 | 2016-12-28 | 广东百事泰电子商务股份有限公司 | A kind of intelligent refrigerator |
| CN106403487A (en) * | 2016-09-01 | 2017-02-15 | 合肥华凌股份有限公司 | Energy-saving control method and energy-saving control device for refrigerator, and refrigerator |
| CN206450004U (en) * | 2016-11-21 | 2017-08-29 | 合肥达米尼电气科技有限公司 | A kind of tele-control system of intelligent refrigerator |
| CN109682146A (en) * | 2018-12-29 | 2019-04-26 | 哈斯曼制冷科技（苏州）有限公司 | Refrigerator and refrigerator control method |
| CN110284763A (en) * | 2019-07-19 | 2019-09-27 | 珠海格力电器股份有限公司 | Temperature control system and method, door lock |
| CN111059821A (en) * | 2019-12-25 | 2020-04-24 | 深圳医智联科技有限公司 | Intelligent medical refrigerator |
| CN212006351U (en) * | 2020-02-26 | 2020-11-24 | 海信容声(广东)冷柜有限公司 | Refrigerator |
| CN112097450A (en) * | 2020-09-23 | 2020-12-18 | 襄阳创创软件有限公司 | Remote temperature controller based on intelligent refrigeration house and control method thereof |
| CN113865200A (en) * | 2021-10-08 | 2021-12-31 | 珠海格力电器股份有限公司 | Freezing and refrigerating equipment and control method and computer readable storage medium thereof |
| CN115111874A (en) * | 2022-06-07 | 2022-09-27 | 珠海格力电器股份有限公司 | Dry storage control method and device for refrigerator and refrigerator |
-
2022
- 2022-04-13 CN CN202210386022.0A patent/CN114739083B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013242058A (en) * | 2012-05-18 | 2013-12-05 | Panasonic Corp | Refrigerator |
| CN202815521U (en) * | 2012-06-06 | 2013-03-20 | 海尔集团公司 | Remote cooler management system |
| CN103017442A (en) * | 2012-12-13 | 2013-04-03 | 合肥美的荣事达电冰箱有限公司 | Refrigerator with forced refrigerating function and control method thereof |
| CN103591764A (en) * | 2013-11-06 | 2014-02-19 | 徐州汉和信息科技有限公司 | Method for controlling household refrigerator remotely |
| CN103900320A (en) * | 2014-04-01 | 2014-07-02 | 杭州泽大仪器有限公司 | Intelligent regulatory controlling and monitoring system of medical reefer and application method of intelligent regulator controlling and monitoring system |
| KR20150138474A (en) * | 2014-05-29 | 2015-12-10 | 주식회사 대유위니아 | Apparatus for controlling refrigerator |
| CN104807285A (en) * | 2015-04-30 | 2015-07-29 | 青岛海尔股份有限公司 | Refrigerator and control method thereof |
| CN105573217A (en) * | 2016-02-01 | 2016-05-11 | 澳柯玛股份有限公司 | Cold chain display cabinet with door switch control system and control method of cold chain display cabinet |
| CN205843181U (en) * | 2016-06-07 | 2016-12-28 | 广东百事泰电子商务股份有限公司 | A kind of intelligent refrigerator |
| CN106403487A (en) * | 2016-09-01 | 2017-02-15 | 合肥华凌股份有限公司 | Energy-saving control method and energy-saving control device for refrigerator, and refrigerator |
| CN206450004U (en) * | 2016-11-21 | 2017-08-29 | 合肥达米尼电气科技有限公司 | A kind of tele-control system of intelligent refrigerator |
| CN109682146A (en) * | 2018-12-29 | 2019-04-26 | 哈斯曼制冷科技（苏州）有限公司 | Refrigerator and refrigerator control method |
| CN110284763A (en) * | 2019-07-19 | 2019-09-27 | 珠海格力电器股份有限公司 | Temperature control system and method, door lock |
| CN111059821A (en) * | 2019-12-25 | 2020-04-24 | 深圳医智联科技有限公司 | Intelligent medical refrigerator |
| CN212006351U (en) * | 2020-02-26 | 2020-11-24 | 海信容声(广东)冷柜有限公司 | Refrigerator |
| CN112097450A (en) * | 2020-09-23 | 2020-12-18 | 襄阳创创软件有限公司 | Remote temperature controller based on intelligent refrigeration house and control method thereof |
| CN113865200A (en) * | 2021-10-08 | 2021-12-31 | 珠海格力电器股份有限公司 | Freezing and refrigerating equipment and control method and computer readable storage medium thereof |
| CN115111874A (en) * | 2022-06-07 | 2022-09-27 | 珠海格力电器股份有限公司 | Dry storage control method and device for refrigerator and refrigerator |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114739083B (en) | 2023-05-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Saidur et al. | Role of ambient temperature, door opening, thermostat setting position and their combined effect on refrigerator-freezer energy consumption | |
| CN108106298B (en) | Refrigerator, and defrosting control device and method for refrigerator | |
| CN105864983B (en) | A kind of air conditioning control method | |
| CN106123431B (en) | Refrigerator energy-saving control method and refrigerator | |
| CN107248937A (en) | A kind of method and system interacted with user based on Internet of Things | |
| CN104930814A (en) | Defrosting control method and device for refrigerator | |
| CN110011881A (en) | Method and apparatus based on failure predication control equipment | |
| CN110428262A (en) | Detect the device and method of abnormality | |
| CN105339958A (en) | Home electrical appliance and network system | |
| US20210356202A1 (en) | Refrigerator and cloud server of diagnosing cause of abnormal state | |
| CN104864549A (en) | On-line operation energy efficiency monitoring and evaluation system and method for air conditioner | |
| CN110173947A (en) | Refrigerating plant and its condensation prevention control method | |
| Bansal | Developing new test procedures for domestic refrigerators: harmonisation issues and future R&D needs—a review | |
| CN111043709A (en) | Method for detecting fluorine deficiency state of refrigerant | |
| CN114739083A (en) | Intelligent refrigerator system and control method thereof | |
| CN113723661A (en) | Method for operating and diagnosing a household appliance or an electronic component using a combined matrix | |
| CN103398539B (en) | A kind of refrigerator temperature control method utilizing approaching parameter | |
| O'Neill et al. | Model-based estimation of cold room temperatures in a supermarket refrigeration system | |
| CN114719501B (en) | Method for acquiring weight of food in refrigerator, refrigerator and computer readable storage medium | |
| CN114562845B (en) | Control method of refrigeration and freezing equipment and refrigeration and freezing equipment | |
| CN111176124A (en) | System and method for realizing household intelligence | |
| CN108981278A (en) | The diagnostic method and terminal device of household appliance system, household appliance | |
| CN112815593A (en) | System and method for monitoring refrigerator function setting abnormity by using cloud data | |
| CN114719503A (en) | Method for obtaining weight of food material in refrigerator, refrigerator and computer-readable storage medium | |
| CN114484969A (en) | Refrigerator and food material management method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |