CN108898408A - A kind of balance car shopping guide method and system based on user's carry-on articles - Google Patents
A kind of balance car shopping guide method and system based on user's carry-on articles Download PDFInfo
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- CN108898408A CN108898408A CN201810337606.2A CN201810337606A CN108898408A CN 108898408 A CN108898408 A CN 108898408A CN 201810337606 A CN201810337606 A CN 201810337606A CN 108898408 A CN108898408 A CN 108898408A
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- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention discloses a kind of balance car shopping guide methods and system based on user's carry-on articles.The balance car shopping guide method based on user's carry-on articles includes：Locking tracking user；It is run at least one week around user, establishes user's 3-dimensional image data；Image data is decomposed, list of articles is exported；According to the commodity data storehouse matching of list of articles and shopping center, Recommendations inventory is generated；Show Recommendations inventory；Obtain user's operation data；User is guided to specified retail shop according to operation data.The present invention can effectively simplify shopping process, save the shopping-time of user.
Description
Technical field
The present invention relates to balance car control fields, more specifically, being related to a kind of balance car based on user's carry-on articles
Shopping guide method and system.
Background technique
Electrodynamic balance vehicle, is called balance car, thinking vehicle, and operation principles are mainly built upon a kind of be referred to as " dynamically surely
In basic principle calmly ", using the gyroscope and acceleration transducer of vehicle body, to detect the variation of vehicle body attitude, utilize
Servo-control system, accurately driving motor is adjusted correspondingly, to keep the balance of system.
There are two types of existing electrodynamic balance vehicle is general, one is having an operating stick on car body, user stands electronic
Operating stick is operated on the foot platform of balance car, to advance, retreat and stop, such control is also referred to as " manual control ".
Another kind is that car body consists of two parts, and mutually rotation is realized by rotating mechanism between left half and right half, to realize
" foot control ".
When user does shopping to shopping mall at present, generally require to stroll the quotient that is lot more time to find and admire
Product, it is very tiring.
Patent document CN105023177A discloses a kind of intelligent shopping guide method in 2015-11-04.It includes following step
Suddenly：
A1, data acquisition：By developing the quick wifi location fingerprint data gathering algorithm based on map, obtain mobile whole
End position data, meanwhile, obtain the detailed map data in market；
A2, data cleansing：Collected data are cleaned, inconsistent, vacancy present in data, noise are eliminated
Problem；
A3, data analysis：Clustering is carried out to the data after cleaning, extracts group's locus model of consumer, is excavated
Frequent mode；
A4, intelligent shopping guide：Connected applications scene, client track and frequent mode carry out intelligentized shopping guide.
The shopping environment that the patented technology is based primarily upon retail shop carries out shopping guide, pays close attention to not the individual demand of consumer
It is enough, recommend precision poor.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of raising user shopping efficiency based on user's carry-on articles
Balance car shopping guide method and system.
The purpose of the present invention is achieved through the following technical solutions：
According to an aspect of the present invention, the present invention discloses a kind of balance car shopping guide method based on user's carry-on articles,
Including：
Locking tracking user；
It is run at least one week around user, establishes user's 3-dimensional image data；
Image data is decomposed, list of articles is exported；
According to the commodity data storehouse matching of list of articles and shopping center, Recommendations inventory is generated；
Show Recommendations inventory；
Obtain user's operation data；
User is guided to specified retail shop according to operation data.
Further, the commodity data storehouse matching according to list of articles and shopping center produces Recommendations inventory
Method include：
Each article in list of articles at least indicates type, color and style data；
Recommend approximate commodity according to type, color and style data；
Generate Recommendations inventory.
Categorical data includes but is not limited to the data such as skirt, shirt, trousers, shoes, handbag, wrist-watch；Style data packet
Include the data such as pseudo-classic, modern, light ripe wind, academic attitude.
Further, the commodity data storehouse matching according to list of articles and shopping center produces Recommendations inventory
Method further include：It is clear to generate Recommendations in conjunction with history purchase data and list of articles for the history purchase data for reading user
It is single.There is membership management system in general shopping mall, will record the basic personal information of member and purchase data, therefore,
The purchasing habits of user, consumption hobby more acurrate can be learnt according to purchase data, the merchandise news of recommendation has more specific aim, saves
The about shopping-time of user.
Further, the history purchase data for reading user is pushed away in conjunction with history purchase data and list of articles generation
The method for recommending inventory includes：
When the shopping frequency of specific retail shop in the history purchase data is more than preset value, recommend the newest quotient of the commodity
Product data.
User frequently patronizes some specific retail shop, illustrates that user enjoys a lot the commodity of the commodity, therefore preferred recommendation should
Practical shopping need of the newest commodity data of commodity closer to user.
Further, the history purchase data for reading user is pushed away in conjunction with history purchase data and list of articles generation
The method for recommending inventory includes：
Commodity data associated with history purchase data is added in Recommendations inventory.
The commodity of some types after user bought, are less likely to repurchase in a short time, such as the history of analysis user
Purchase data, discovery user have a few days ago bought a bite frying pan, it is obvious that as long as frying pan is not bad, user is less likely to go to buy mouth again
Frying pan, it is inappropriate for recommending frying pan dependent merchandise data at this time.But the relevant commodity of frying pan can be recommended, such as slice,
Slaughterhouse, electric cooker etc., it may be possible to user do not buy also and demand purchase.
Further, the commodity data storehouse matching according to list of articles and shopping center produces Recommendations inventory
Method include：
Each article in list of articles at least indicates type, color and style data；
Recommend approximate commodity according to type, color and style data；
Generate Recommendations inventory；
The method of the commodity data storehouse matching according to list of articles and shopping center, production Recommendations inventory is also wrapped
It includes：The history purchase data for reading user generates Recommendations inventory in conjunction with history purchase data and list of articles；
The history purchase data for reading user generates Recommendations inventory in conjunction with history purchase data and list of articles
Method include：
When the shopping frequency of specific retail shop in the history purchase data is more than preset value, recommend the newest quotient of the commodity
Product data；
Commodity data associated with history purchase data is added in Recommendations inventory.
As another aspect of the present invention, invention additionally discloses a kind of, and the balance car shopping guide based on user's carry-on articles is
System, including：
Device for locking tracking user；
For running at least one week around user, the device of user's 3-dimensional image data is established；
For decomposing image data, the device of list of articles is exported；
For the commodity data storehouse matching according to list of articles and shopping center, the device of Recommendations inventory is generated；
For showing the device of Recommendations inventory；
For obtaining the device of user's operation data；
Device for guiding user to specified retail shop according to operation data.
Compared with prior art, the solution have the advantages that：The present invention gradually becomes people in view of balance car vehicle
Short distance trip tool, and also have the prospect of application in shopping mall, balance car and shopping cart can be combined, shape
At balance shopping cart, it can effectively mitigate the burden of user's walking shopping.Under this design, shopping cart and shopping center will be balanced
Server connection, can read the merchandise news of all retail shops, then locally used by mature image recognition technology identification
The clothes shoes and hats bag at family and other items information, the two matches to obtain Recommendations inventory, as long as user selects interested commodity,
Balance car shopping cart can guide user and do shopping to specific retail shop, greatly improve shopping efficiency, the present invention can
Effectively to simplify shopping process, the shopping-time of user has been saved.
Detailed description of the invention
Fig. 1 is balance car shopping guide method schematic diagram of the embodiment of the present invention based on user's carry-on articles；
Fig. 2 is the method schematic diagram of locking tracking user of the embodiment of the present invention；
Fig. 3 is balance car purchase guiding system schematic diagram of the embodiment of the present invention based on user's carry-on articles.
Specific embodiment
The present invention discloses a kind of balance car shopping guide method based on user's carry-on articles, including：
Locking tracking user；
It is run at least one week around user, establishes user's 3-dimensional image data；
Image data is decomposed, list of articles is exported；
According to the commodity data storehouse matching of list of articles and shopping center, Recommendations inventory is generated；
Show Recommendations inventory；
Obtain user's operation data；
User is guided to specified retail shop according to operation data.
The present invention has gradually become the tool of people's short distance trip in view of balance car vehicle, and in shopping mall
Have the prospect of application, balance car and shopping cart can be combined, form balance shopping cart, can effectively mitigate user's walking shopping
Burden.Under this design, the server for balancing shopping cart and shopping center is connected, the commodity letter of all retail shops can be read
Then breath is locally identifying the clothes shoes and hats bag of user and other items information, the two matching by mature image recognition technology
Recommendations inventory is obtained, as long as user selects interested commodity, balance car shopping cart can guide user to specifically
Retail shop do shopping, and greatly improves shopping efficiency, and the present invention can effectively simplify shopping process, save the shopping of user
Time.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing or method described as flow chart.Although operations are described as the processing of sequence by flow chart, therein to be permitted
Multioperation can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be rearranged.When it
The processing can be terminated when operation completion, it is also possible to have the additional step being not included in attached drawing.The processing
It can correspond to method, function, regulation, subroutine, subprogram etc..
Alleged mobile intelligent terminal (such as smart phone, tablet computer, wearable device or intelligent glasses), meter within a context
Calculation machine, AI (artificial intelligence), robot, VR (virtual reality), AR (augmented reality), smart home device or intelligent industrial control
Equipment etc. can execute the predetermined process mistakes such as numerical value calculating and/or logic calculation by operation preset program or instruction
Journey may include processor and memory, execute the survival prestored in memory instruction by processor to execute book office
Reason process, or predetermined process process is executed by hardware such as ASIC, FPGA, DSP, or realized by said two devices combination.Meter
Calculating machine equipment includes but is not limited to server, PC, laptop, tablet computer, smart phone etc..
The network equipment includes but is not limited to single network server, the server group of multiple network servers composition or is based on
The cloud consisting of a large number of computers or network servers of cloud computing (Cloud Computing), wherein cloud computing is distributed
One kind of calculating, a super virtual computer consisting of a loosely coupled set of computers.Wherein, the computer is set
It is standby can isolated operation realize the present invention, also can access network and pass through the interactive operation with other computer equipments in network
To realize the present invention.Wherein, network locating for the computer equipment includes but is not limited to internet, wide area network, Metropolitan Area Network (MAN), office
Domain net, VPN network etc..
It should be noted that the user equipment, the network equipment and network etc. are only for example, other are existing or from now on may be used
The computer equipment or network that can occur such as are applicable to the present invention, should also be included within the scope of protection of the present invention, and to draw
It is incorporated herein with mode.
Method (some of them are illustrated by process) discussed hereafter can be by hardware, software, firmware, centre
Part, microcode, hardware description language or any combination thereof are implemented.Implement when with software, firmware, middleware or microcode
When, program code or code segment to implement necessary task can be stored in machine or computer-readable medium and (for example deposit
Storage media) in.Necessary task can be implemented in (one or more) processor.
Specific structure and function details disclosed herein are only representative, and are for describing the present invention show
The purpose of example property embodiment.But the present invention can be implemented by many alternative forms, and be not interpreted as
It is limited only by the embodiments set forth herein.
Although it should be understood that may have been used term " first ", " second " etc. herein to describe each unit,
But these units should not be limited by these terms.The use of these items is only for by a unit and another unit
It distinguishes.For example, without departing substantially from the range of exemplary embodiment, it is single that first unit can be referred to as second
Member, and similarly second unit can be referred to as first unit.Term "and/or" used herein above include one of them or
Any and all combinations of more listed associated items.
It should be understood that when a unit referred to as " connects " or when " coupled " to another unit, can directly connect
Another unit is connect or be coupled to, or may exist temporary location.In contrast, " directly connect when a unit is referred to as
Connect " or " direct-coupling " to another unit when, then temporary location is not present.It should explain in a comparable manner and be used to retouch
Other words for stating the relationship between unit (such as " are in.Between " compared to " being directly in.Between ", " with.It is adjacent
Closely " compared to " with.It is directly adjacent to " etc.).
Term used herein above is not intended to limit exemplary embodiment just for the sake of description specific embodiment.Unless
Context clearly refers else, otherwise singular used herein above "one", " one " also attempt to include plural number.Also answer
When understanding, term " includes " and/or "comprising" used herein above provide stated feature, integer, step, operation,
The presence of unit and/or component, and do not preclude the presence or addition of other one or more features, integer, step, operation, unit,
Component and/or combination thereof.
It should further be mentioned that the function action being previously mentioned can be attached according to being different from some replace implementations
The sequence indicated in figure occurs.For example, related function action is depended on, the two width figures shown in succession actually may be used
Substantially simultaneously to execute or can execute in a reverse order sometimes.
With reference to the accompanying drawing 1~3 and preferred embodiment the invention will be further described.
Balance car shopping guide method based on user's carry-on articles disclosed in present embodiment includes：
S11, locking tracking user；
S12, it is run at least one week around user, establishes user's 3-dimensional image data；
S13, image data is decomposed, exports list of articles；
S14, according to the commodity data storehouse matching in list of articles and shopping center, generate Recommendations inventory；
S15, display Recommendations inventory；
S16, user's operation data are obtained；
S17, user is guided to specified retail shop according to operation data.
Optionally, the commodity data storehouse matching according to list of articles and shopping center, production Recommendations inventory
Method includes：
Each article in list of articles at least indicates type, color and style data；
Recommend approximate commodity according to type, color and style data；
Generate Recommendations inventory.
Categorical data includes but is not limited to the data such as skirt, shirt, trousers, shoes, handbag, wrist-watch；Style data packet
Include the data such as pseudo-classic, modern, light ripe wind, academic attitude.
Optionally, the commodity data storehouse matching according to list of articles and shopping center, production Recommendations inventory
Method further includes：The history purchase data for reading user generates Recommendations inventory in conjunction with history purchase data and list of articles.
There is membership management system in general shopping mall, will record the basic personal information of member and purchase data, therefore, according to
Purchase data more acurrate can learn the purchasing habits of user, consumption hobby, and the merchandise news of recommendation has more specific aim, saves and use
The shopping-time at family.
Optionally, the history purchase data for reading user generates in conjunction with history purchase data and list of articles and recommends
The method of inventory includes：When the shopping frequency of specific retail shop in the history purchase data is more than preset value, preferentially push away
Recommend the newest commodity data of the commodity.User frequently patronizes some specific retail shop, illustrates that user enjoys a lot the commodity of the commodity,
Therefore preferably recommend the newest commodity data of the commodity closer to the practical shopping need of user.
Optionally, further include according to the method that history purchase data generates Recommendations inventory：
Commodity data associated with history purchase data is added in Recommendations inventory.
The commodity of some types after user bought, are less likely to repurchase in a short time, such as the history of analysis user
Purchase data, discovery user have a few days ago bought a bite frying pan, it is obvious that as long as frying pan is not bad, user is less likely to go to buy mouth again
Frying pan, it is inappropriate for recommending frying pan dependent merchandise data at this time.But the relevant commodity of frying pan can be recommended, such as slice,
Slaughterhouse, electric cooker etc., it may be possible to user do not buy also and demand purchase.
With reference to Fig. 3, according to another aspect of the present invention, invention additionally discloses a kind of balances based on user's carry-on articles
Vehicle purchase guiding system, including：
Locking device 10：Device for locking tracking user；
Model building device 20：For running at least one week around user, the device of user's 3-dimensional image data is established；
Decomposer 30：For decomposing image data, the device of list of articles is exported；
Coalignment 40：For the commodity data storehouse matching according to list of articles and shopping center, it is clear to generate Recommendations
Single device；
Recommendation apparatus 50：For showing the device of Recommendations inventory；
Operating device 60：For obtaining the device of user's operation data；
Guidance device 70：Device for guiding user to specified retail shop according to operation data.
The present invention is based on the balance car purchase guiding system of user's carry-on articles can be used to implement it is of the present invention based on use
The balance car shopping guide method of family carry-on articles.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to of the invention
Protection scope.
Claims (7)
1. a kind of balance car shopping guide method based on user's carry-on articles, including：
Locking tracking user；
It is run at least one week around user, establishes user's 3-dimensional image data；
Image data is decomposed, list of articles is exported；
According to the commodity data storehouse matching of list of articles and shopping center, Recommendations inventory is generated；
Show Recommendations inventory；
Obtain user's operation data；
User is guided to specified retail shop according to operation data.
2. the balance shopping cart shopping guide method according to claim 1 based on user's carry-on articles, which is characterized in that described
According to the commodity data storehouse matching of list of articles and shopping center, the method for producing Recommendations inventory includes：
Each article in list of articles at least indicates type, color and style data；
Recommend approximate commodity according to type, color and style data；
Generate Recommendations inventory.
3. the balance shopping cart shopping guide method according to claim 2 based on user's carry-on articles, which is characterized in that described
According to the commodity data storehouse matching of list of articles and shopping center, the method for producing Recommendations inventory further includes：Read user
History purchase data, generate Recommendations inventory in conjunction with history purchase data and list of articles.
4. the balance shopping cart shopping guide method according to claim 3 based on user's carry-on articles, which is characterized in that described
The history purchase data for reading user, the method in conjunction with history purchase data and list of articles generation Recommendations inventory include：
When the shopping frequency of specific retail shop in the history purchase data is more than preset value, recommend the newest commodity number of the commodity
According to.
5. the balance shopping cart shopping guide method according to claim 3 based on user's carry-on articles, which is characterized in that described
The history purchase data for reading user, the method in conjunction with history purchase data and list of articles generation Recommendations inventory include：
Commodity data associated with history purchase data is added in Recommendations inventory.
6. the balance shopping cart shopping guide method according to claim 1 based on user's carry-on articles, which is characterized in that described
According to the commodity data storehouse matching of list of articles and shopping center, the method for producing Recommendations inventory includes：
Each article in list of articles at least indicates type, color and style data；
Recommend approximate commodity according to type, color and style data；
Generate Recommendations inventory；
The commodity data storehouse matching according to list of articles and shopping center, the method for producing Recommendations inventory further include：
The history purchase data for reading user generates Recommendations inventory in conjunction with history purchase data and list of articles；
The history purchase data for reading user generates the side of Recommendations inventory in conjunction with history purchase data and list of articles
Method includes：
When the shopping frequency of specific retail shop in the history purchase data is more than preset value, recommend the newest commodity number of the commodity
According to；
Commodity data associated with history purchase data is added in Recommendations inventory.
7. a kind of balance car purchase guiding system based on user's carry-on articles, which is characterized in that including：
Device for locking tracking user；
For running at least one week around user, the device of user's 3-dimensional image data is established；
For decomposing image data, the device of list of articles is exported；
For the commodity data storehouse matching according to list of articles and shopping center, the device of Recommendations inventory is generated；
For showing the device of Recommendations inventory；
For obtaining the device of user's operation data；
Device for guiding user to specified retail shop according to operation data.
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| CN201810337606.2A CN108898408A (en) | 2018-04-13 | 2018-04-13 | A kind of balance car shopping guide method and system based on user's carry-on articles |
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| CN201810337606.2A CN108898408A (en) | 2018-04-13 | 2018-04-13 | A kind of balance car shopping guide method and system based on user's carry-on articles |
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