CN106447451A - Intelligent refrigerator based offline shopping recommendation system and method - Google Patents

Intelligent refrigerator based offline shopping recommendation system and method Download PDF

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Publication number
CN106447451A
CN106447451A CN201610864388.9A CN201610864388A CN106447451A CN 106447451 A CN106447451 A CN 106447451A CN 201610864388 A CN201610864388 A CN 201610864388A CN 106447451 A CN106447451 A CN 106447451A
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CN
China
Prior art keywords
intelligent refrigerator
refrigerator
intelligent
food
recommendation information
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.)
Pending
Application number
CN201610864388.9A
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Chinese (zh)
Inventor
王雪萍
谌伟
钟雨言臻
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan Changhong Electric Co Ltd
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Sichuan Changhong Electric Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Sichuan Changhong Electric Co Ltd filed Critical Sichuan Changhong Electric Co Ltd
Priority to CN201610864388.9A priority Critical patent/CN106447451A/en
Publication of CN106447451A publication Critical patent/CN106447451A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0639Item locations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0641Shopping interfaces

Abstract

The invention relates to the field of intelligent household electrical appliances, and discloses an intelligent refrigerator based offline shopping recommendation system and method which recommend offline commodities at the periphery of intelligent refrigerators to users through the intelligent refrigerators. The method comprises the steps that an intelligent refrigerator system acquires images of foods in refrigerators after being connected to the network successfully and uploads the food images to a cloud service platform; B, the cloud service platform analyzes the food images, acquires user preferences, and establishes a corresponding relation between intelligent refrigerator addresses and the user preferences in allusion to each intelligent refrigerator; C, the cloud service platform receives food recommendation information of physical stores, matches the food recommendation information with the user preferences, and matches addresses of the physical stores with the intelligent refrigerator addresses, thereby sending recommendation information which is located at the periphery of the intelligent refrigerators and conforms to the user preferences to the intelligent refrigerators; and D, the intelligent refrigerator system receives the recommendation information, gives a voice prompt and displays the recommendation information.

Description

Based on shopping commending system and method under the line of intelligent refrigerator
Technical field
The present invention relates to intelligent appliance field and in particular to a kind of based on shopping commending system and side under the line of intelligent refrigerator Method.
Background technology
The proposition of the concept of intelligent artifact, has gone through considerable time, the intension of intelligent artifact is not clearly Define foundation, the actual impression of the real standard of intelligent artifact and consumer has drop, traces it to its cause and mainly do not have The real evaluation to intelligent artifact forms complete scientific system, for the information-based promotion to products innovation, industrial upgrading of lifting Effect, improves manufacturing enterprise and consumer information consciousness and application power simultaneously.
In interconnect the intelligent appliance main forces under net state based on Changhong family, landing of intelligent refrigerator, complete further The industry chain building of intelligent appliance, in field of household appliances, the intelligent appliance field of especially 2016, the birth of each standard Unlimited development signal will be brought to industry, current intelligent refrigerator is not also by the pin of the food of entity, fresh product supermarket Sell and combine with intelligent television, lead to user cannot understand the commodity price situation of periphery solid shop/brick and mortar store in time, and on the other hand, real The form distributing leaflets, the low also waste of manpower cost of efficiency are passed through in body shop in advertising campaign.
Content of the invention
The technical problem to be solved is:There is provided a kind of based on shopping commending system and side under the line of intelligent refrigerator Method, recommends commodity under its perimeter line by intelligent refrigerator to user.
The technical solution adopted for the present invention to solve the technical problems is:System is recommended based on shopping under the line of intelligent refrigerator System, including
Intelligent refrigerator system, it includes image capture module, voice cue module, display module, mixed-media network modules mixed-media and Wei Chu Reason device;Described image acquisition module is used for gathering food image in refrigerator, and submits to microprocessor, and microprocessor is to food figure As being packed and being sent to cloud service platform by mixed-media network modules mixed-media together with the machine address information;Described voice cue module and aobvious Show that module is used for carrying out voice message after microprocessor receives the recommendation information of cloud service platform transmission by mixed-media network modules mixed-media And display;
Cloud service platform, the food image for being uploaded according to intelligent refrigerator system is analyzed user preference, and is directed to Each intelligent refrigerator sets up the corresponding relation of its address and user preference, and is stored;And, receive the food of each solid shop/brick and mortar store Product recommendation information, food recommendation information is mated with user preference, the address of solid shop/brick and mortar store is carried out with intelligent refrigerator address Coupling, thus send recommendation information that is being located at its periphery and meeting user preference to intelligent refrigerator.
As optimizing further, this commending system also includes customer mobile terminal, described customer mobile terminal and intelligent ice Case system is bound at cloud service platform, and described cloud service platform is additionally operable to send to customer mobile terminal and is tied up with this terminal Fixed recommendation information that is intelligent refrigerator periphery and meeting user preference.
As optimizing further, described image acquisition module detects the behaviour of each closing refrigerator door in intelligent refrigerator system Food image in collection refrigerator when making, and submit to microprocessor.
As optimizing further, the food recommendation information of described each solid shop/brick and mortar store includes type and the advertising campaign letter of food Breath.
As optimizing further, described intelligent refrigerator system also includes infrared sensor module, for detecting current refrigerator Personnel whether are had to pass through in the range of front certain distance, if personnel has been detected passing through, just triggering voice cue module and display mould Block carries out voice message and display to recommendation information.
As optimizing further, described user preference is by the food figure of user's normal diet and the last collection The current desired food information of user obtaining as comprehensive analysis;The history number that cloud service platform uploads according to intelligent refrigerator system Obtain described user's normal diet according to analysis.
Additionally, another object of the present invention also resides in, propose a kind of based under the line of intelligent refrigerator do shopping recommendation method, its Comprise the following steps:
A, intelligent refrigerator system networking success after, collection refrigerator in food image and be uploaded to cloud service platform;
B, cloud service platform are analyzed to food image, obtain user preference, and set up for each intelligent refrigerator Its address and the corresponding relation of user preference;
C, when cloud service platform receives the food recommendation information of each solid shop/brick and mortar store, food recommendation information and user preference are entered Row coupling, the address of solid shop/brick and mortar store is mated with intelligent refrigerator address, thus send to intelligent refrigerator being located at its periphery simultaneously Meet the recommendation information of user preference;
D, intelligent refrigerator system carry out voice message after receiving recommendation information and show.
As optimizing further, also include in step C:
Cloud service platform sends with the intelligent refrigerator periphery of this terminal binding to customer mobile terminal and to meet user inclined Good recommendation information.
As optimizing further, in step A, gather when intelligent refrigerator system detects the operation of each closing refrigerator door Food image be uploaded to cloud service platform in refrigerator.
As optimizing further, in step D, intelligent refrigerator system is kept in after receiving recommendation information, is detecting When having personnel to pass through in the range of certain distance before refrigerator, just carry out voice message and show.
The invention has the beneficial effects as follows:Based on the detection to food image in refrigerator and powerful using cloud service platform Disposal ability and storage capacity are analyzed to user preference, receive the advertising campaign message in foodstuff entities shop in cloud service platform When, Auto-matching user preference and refrigerator address, thus to user recommend near and the food information that meets user preference, carry Rise Consumer's Experience, also reduce the publicity cost of solid shop/brick and mortar store advertising campaign.
Brief description
Fig. 1 be the embodiment of the present invention the line based on intelligent refrigerator under shopping recommend method flow diagram.
Specific embodiment
The present invention is intended to provide a kind of based on shopping commending system and method under the line of intelligent refrigerator, by intelligent refrigerator to User recommends commodity under its perimeter line.Based on the detection to food image in refrigerator in the present invention and strong using cloud service platform Big disposal ability and storage capacity are analyzed to user preference, receive the advertising campaign in foodstuff entities shop in cloud service platform During message, Auto-matching user preference and refrigerator address, thus to user recommend near and the food letter that meets user preference Breath.
Based on commending system of doing shopping under the line of intelligent refrigerator in the present invention, including
Intelligent refrigerator system, it includes image capture module, voice cue module, display module, mixed-media network modules mixed-media and Wei Chu Reason device;Described image acquisition module is used for gathering food image in refrigerator, and submits to microprocessor, and microprocessor is to food figure As being packed and being sent to cloud service platform by mixed-media network modules mixed-media together with the machine address information;Described voice cue module and aobvious Show that module is used for carrying out voice message after microprocessor receives the recommendation information of cloud service platform transmission by mixed-media network modules mixed-media And display;
Cloud service platform, the food image for being uploaded according to intelligent refrigerator system is analyzed user preference, and is directed to Each intelligent refrigerator sets up the corresponding relation of its address and user preference, and is stored;And, receive the food of each solid shop/brick and mortar store Product recommendation information, food recommendation information is mated with user preference, the address of solid shop/brick and mortar store is carried out with intelligent refrigerator address Coupling, thus send recommendation information that is being located at its periphery and meeting user preference to intelligent refrigerator.
On implementing, can be by being respectively mounted minisize pick-up head and being used as image in the household freezer of refrigerator and refrigerating box Acquisition module, to gather the food image in refrigerator;Mixed-media network modules mixed-media adopts WIFI module to be connected with home gateway foundation, thus just In transmitted data on network;In the present invention, for data amount, reduce the pressure of cloud service platform, do not need in real time Pass food image, and only need to detect refrigerator doors shutoff operation as the time point of collection food image, this is because one During secondary refrigerator doors shutoff operation, generally all can put into food in refrigerator or take out food;The food image of collection can pass through Mixed-media network modules mixed-media is uploaded to cloud service platform immediately it is also possible to be kept in using the memory of refrigerator system, regularly or in cloud Just food image is uploaded under service platform request;Upload when, microprocessor by food picture together with intelligent refrigerator address Information is uploaded to cloud service platform together with (including MAC Address and the IP address of refrigerator);
Cloud service platform can identify the geographical location information of refrigerator and using MAC Address as refrigerator according to IP address Identification information;And analyzed and processed according to food picture, obtain user's eating habit at ordinary times (multiple based on refrigerator system The history food picture analyzing uploading), the address information of user's eating habit at ordinary times and refrigerator is associated storing;In cloud When service platform receives the advertising campaign information of foodstuff entities shop transmission, user's normal diet and the last time are gathered The current desired food information of user that the analysis of food image synthesis obtains, by the sales promotion of this desired food information and solid shop/brick and mortar store Action message is mated, and the address of solid shop/brick and mortar store is mated with the address information of refrigerator, thus obtaining near intelligent refrigerator And the food recommendation information that meets user preference.
Intelligent refrigerator, after receiving recommendation information, can carry out voice message and display immediately, but in order to more efficiently User is pointed out, the present invention is provided with infrared sensor on intelligent refrigerator, in the range of detection refrigerator certain distance whether Have personnel to pass through, when the personnel that detected by when just carry out voice message and display.
Embodiment:
As shown in figure 1, recommendation method of doing shopping under the line of intelligent refrigerator in this example, it comprises the following steps:
A, intelligent refrigerator system networking success after, collection refrigerator in food image and be uploaded to cloud service platform;
B, cloud service platform are analyzed to food image, obtain user preference, and set up for each intelligent refrigerator Its address and the corresponding relation of user preference;
C, when cloud service platform receives the food recommendation information of each solid shop/brick and mortar store, food recommendation information and user preference are entered Row coupling, the address of solid shop/brick and mortar store is mated with intelligent refrigerator address, thus send to intelligent refrigerator being located at its periphery simultaneously Meet the recommendation information of user preference;
D, intelligent refrigerator system carry out voice message after receiving recommendation information and show.Intelligent refrigerator is receiving recommendation information Afterwards, immediately can carry out voice message and display, but in order to more efficiently point out to user, the present invention be in intelligent refrigerator On be provided with infrared sensor, whether have personnel to pass through, when the personnel of having detected pass through in the range of detection refrigerator certain distance Just carry out voice message and display.
Additionally, the present invention is except the prompting function of the local recommendation information of intelligent refrigerator, also add remote prompting function, that is, Recommendation information is sent in the user mobile phone terminal bound with intelligent refrigerator cloud service platform, consequently facilitating user understands in time Sales promotion information.

Claims (10)

1. based on shopping commending system under the line of intelligent refrigerator it is characterised in that including
Intelligent refrigerator system, it includes image capture module, voice cue module, display module, mixed-media network modules mixed-media and microprocessor; Described image acquisition module is used for gathering food image in refrigerator, and submits to microprocessor, and microprocessor enters to food image Row packing is simultaneously sent to cloud service platform by mixed-media network modules mixed-media together with the machine address information;Described voice cue module and display mould Block is used for after microprocessor receives the recommendation information of cloud service platform transmission by mixed-media network modules mixed-media carrying out voice message and shows Show;
Cloud service platform, the food image for being uploaded according to intelligent refrigerator system is analyzed user preference, and for each Platform intelligent refrigerator sets up the corresponding relation of its address and user preference, and is stored;And, the food receiving each solid shop/brick and mortar store pushes away Recommend information, food recommendation information mated with user preference, the address of solid shop/brick and mortar store is mated with intelligent refrigerator address, Thus sending recommendation information that is being located at its periphery and meeting user preference to intelligent refrigerator.
2. moved it is characterised in that also including user based on shopping commending system under the line of intelligent refrigerator as claimed in claim 1 Dynamic terminal, described customer mobile terminal and intelligent refrigerator system are bound at cloud service platform, and described cloud service platform is also For sending the recommendation information that is intelligent refrigerator periphery and meeting user preference with this terminal binding to customer mobile terminal.
3. as claimed in claim 1 based on shopping commending system under the line of intelligent refrigerator it is characterised in that described image collection Module gathers food image in refrigerator when intelligent refrigerator system detects the operation of each closing refrigerator door, and submits to micro- place Reason device.
4. as claimed in claim 1 based on shopping commending system under the line of intelligent refrigerator it is characterised in that described each solid shop/brick and mortar store Food recommendation information include type and the advertising campaign information of food.
5. as claimed in claim 1 based on shopping commending system under the line of intelligent refrigerator it is characterised in that described intelligent refrigerator System also includes infrared sensor module, for detecting whether have personnel to pass through in the range of certain distance before current refrigerator, if inspection The personnel of having measured pass through, and just triggering voice cue module and display module carry out voice message and display to recommendation information.
6. as claimed in claim 1 based on shopping commending system under the line of intelligent refrigerator it is characterised in that described user preference It is the current desired food of user that the food image synthesis analysis of user's normal diet and the last collection is obtained Information;Cloud service platform obtains described user's normal diet according to the historical data analysis that intelligent refrigerator system uploads.
7. based on shopping recommendation method under the line of intelligent refrigerator it is characterised in that comprising the following steps:
A, intelligent refrigerator system networking success after, collection refrigerator in food image and be uploaded to cloud service platform;
B, cloud service platform are analyzed to food image, obtain user preference, and set up its ground for each intelligent refrigerator Location and the corresponding relation of user preference;
C, when cloud service platform receives the food recommendation information of each solid shop/brick and mortar store, food recommendation information and user preference are carried out Join, the address of solid shop/brick and mortar store mated with intelligent refrigerator address, thus to intelligent refrigerator send be located at its periphery and meet The recommendation information of user preference;
D, intelligent refrigerator system carry out voice message after receiving recommendation information and show.
8. as claimed in claim 7 based on shopping recommendation method under the line of intelligent refrigerator it is characterised in that
Also include in step C:
Cloud service platform sends with the intelligent refrigerator periphery of this terminal binding to customer mobile terminal and meets user preference Recommendation information.
9. as claimed in claim 7 based on shopping recommendation method under the line of intelligent refrigerator it is characterised in that
In step A, when intelligent refrigerator system detects the operation of each closing refrigerator door collection refrigerator in food image and on Pass to cloud service platform.
10. as claimed in claim 7 based on shopping recommendation method under the line of intelligent refrigerator it is characterised in that
In step D, intelligent refrigerator system is kept in after receiving recommendation information, in the range of certain distance before refrigerator is detected When having personnel to pass through, just carry out voice message and show.
CN201610864388.9A 2016-09-29 2016-09-29 Intelligent refrigerator based offline shopping recommendation system and method Pending CN106447451A (en)

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CN107544269A (en) * 2017-09-12 2018-01-05 珠海格力电器股份有限公司 Electric system and its control method based on cloud platform
CN107806729A (en) * 2017-11-29 2018-03-16 常州机电职业技术学院 A kind of intelligent refrigerator under big data background
CN108433411A (en) * 2018-02-23 2018-08-24 合肥柏隆科技发展有限公司 A kind of automatic regulation system of wisdom cabinet
CN108459522A (en) * 2018-02-12 2018-08-28 合肥柏隆科技发展有限公司 A kind of intelligence cabinet regulator control system
CN108464648A (en) * 2018-02-12 2018-08-31 合肥柏隆科技发展有限公司 A kind of intelligent cabinet regulator control system with monitoring function
CN108683741A (en) * 2018-05-21 2018-10-19 珠海格力电器股份有限公司 Information-pushing method, information broadcasting method, Cloud Server and intelligent appliance
CN108766528A (en) * 2018-05-08 2018-11-06 天津大学 A kind of diet management system and its construction method, a kind of food management method
CN108877895A (en) * 2018-05-08 2018-11-23 天津大学 A kind of diet management system and its management method
CN109165997A (en) * 2018-07-19 2019-01-08 阿里巴巴集团控股有限公司 It does shopping under a kind of line the generation method and device of recommendation
CN110047218A (en) * 2019-03-08 2019-07-23 佛山市云米电器科技有限公司 The system that a kind of washing machine recommends purchase information automatically
CN110081664A (en) * 2019-04-19 2019-08-02 深圳市酷开网络科技有限公司 A kind of recommended method, system and intelligent refrigerator based on food in refrigerator
CN110445821A (en) * 2018-05-03 2019-11-12 阿里巴巴集团控股有限公司 Information-pushing method, device, system and the information processing method of household electrical appliance
CN112950840A (en) * 2019-12-11 2021-06-11 阿里巴巴集团控股有限公司 Information processing method and device and service terminal

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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107544269A (en) * 2017-09-12 2018-01-05 珠海格力电器股份有限公司 Electric system and its control method based on cloud platform
CN107806729A (en) * 2017-11-29 2018-03-16 常州机电职业技术学院 A kind of intelligent refrigerator under big data background
CN108459522A (en) * 2018-02-12 2018-08-28 合肥柏隆科技发展有限公司 A kind of intelligence cabinet regulator control system
CN108464648A (en) * 2018-02-12 2018-08-31 合肥柏隆科技发展有限公司 A kind of intelligent cabinet regulator control system with monitoring function
CN108433411A (en) * 2018-02-23 2018-08-24 合肥柏隆科技发展有限公司 A kind of automatic regulation system of wisdom cabinet
CN110445821A (en) * 2018-05-03 2019-11-12 阿里巴巴集团控股有限公司 Information-pushing method, device, system and the information processing method of household electrical appliance
CN110445821B (en) * 2018-05-03 2022-05-31 阿里巴巴集团控股有限公司 Information pushing method, device and system for household appliance and information processing method
CN108766528A (en) * 2018-05-08 2018-11-06 天津大学 A kind of diet management system and its construction method, a kind of food management method
CN108877895A (en) * 2018-05-08 2018-11-23 天津大学 A kind of diet management system and its management method
CN108683741A (en) * 2018-05-21 2018-10-19 珠海格力电器股份有限公司 Information-pushing method, information broadcasting method, Cloud Server and intelligent appliance
CN109165997A (en) * 2018-07-19 2019-01-08 阿里巴巴集团控股有限公司 It does shopping under a kind of line the generation method and device of recommendation
CN110047218A (en) * 2019-03-08 2019-07-23 佛山市云米电器科技有限公司 The system that a kind of washing machine recommends purchase information automatically
CN110081664A (en) * 2019-04-19 2019-08-02 深圳市酷开网络科技有限公司 A kind of recommended method, system and intelligent refrigerator based on food in refrigerator
CN112950840A (en) * 2019-12-11 2021-06-11 阿里巴巴集团控股有限公司 Information processing method and device and service terminal

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Application publication date: 20170222