CN111709809A - Shopping mall shopping consumption recommendation system based on block chain - Google Patents

Shopping mall shopping consumption recommendation system based on block chain Download PDF

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CN111709809A
CN111709809A CN202010556267.4A CN202010556267A CN111709809A CN 111709809 A CN111709809 A CN 111709809A CN 202010556267 A CN202010556267 A CN 202010556267A CN 111709809 A CN111709809 A CN 111709809A
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shop
information
block
consumer
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CN111709809B (en
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周丽
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Shanghai lumaotong Industrial Group Co.,Ltd.
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周丽
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    • 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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data

Abstract

The invention discloses a shopping mall shopping consumption recommendation system based on a block chain, which relates to the technical field of the block chain, and comprises a shop modeling module, a consumption recommendation module and a block sharing module, wherein the shop modeling module is used for establishing a two-dimensional model of a shop in a shopping mall, the consumption recommendation module is used for recommending shop information and commodity information for a consumer, and the block sharing module is used for uploading a consumption target of the consumer analyzed by a central control module to the block chain for sharing. The method is beneficial to improving the service level of the shop and is also beneficial to promoting consumption.

Description

Shopping mall shopping consumption recommendation system based on block chain
Technical Field
The invention relates to the technical field of block chains, in particular to a shopping mall shopping consumption recommendation system based on a block chain.
Background
The block chain is essentially a shared database, and the data or information stored in the shared database has the characteristics of being incapable of being counterfeited, leaving marks in the whole process, being traceable, being publicly transparent, being maintained collectively and the like, and along with the continuous development of the block chain technology in recent years, the application field of the block chain is also continuously increased, and the application of the block chain technology to shopping consumption in a market is a new attempt;
the existing market shopping consumption recommendation system based on the block chain reads historical shopping information stored on the block chain by carrying out face recognition on a consumer, confirms the shopping requirement of the consumer according to the historical shopping information of the consumer, and recommends shopping shops and commodities;
the Chinese invention patent (CN110322327A) discloses a shopping recommendation method and device for market consumers based on a block chain technology, wherein the shopping recommendation method and device for market consumers summarize a historical shopping list by reading the identity information and the historical purchasing information of the consumers, and recommend commodity information to the consumers according to the historical shopping list to achieve the purpose of promoting consumption;
there are the following disadvantages:
1. the recommended commodity information cannot be changed according to the demand of the consumer, the commodity consumption recommendation accuracy cannot be improved, and when a certain consumption is to buy a commodity which is never purchased before, the commodity recommendation according to the historical shopping information cannot achieve the purpose of promoting the consumption;
2. in the prior art, the commodity recommendation is only carried out according to the historical shopping records of the consumer, which commodities the consumer wants to buy before buying the commodities cannot be confirmed, and the browsing records of the consumer before buying the commodities cannot be accurately known, so that the comprehensiveness of the commodity recommendation is insufficient;
therefore, there is a need for a shopping mall shopping consumption recommendation system based on a block chain to solve the above problems.
Disclosure of Invention
The invention aims to provide a shopping mall shopping consumption recommendation system based on a block chain, which aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a shopping mall shopping consumption recommendation system based on a block chain comprises a data acquisition module, a shop modeling module, a central control module, a consumption recommendation module and a block sharing module;
the system comprises a data acquisition module, a shop modeling module, a central control module, a consumption recommendation module and a block sharing module, wherein the data acquisition module is used for acquiring various data in a shopping mall, the shop modeling module is used for establishing a two-dimensional model of shops in the shopping mall, the central control module is used for analyzing consumption targets of consumers, the consumption recommendation module is used for recommending shop information and commodity information for the consumers, and the block sharing module is used for uploading the consumption targets of the consumers analyzed by the central control module to a block chain for sharing;
the output ends of the data acquisition module and the shop modeling module are electrically connected with the input end of the central control module, the output end of the data acquisition module is electrically connected with the input end of the shop modeling module, the output end of the central control module is electrically connected with the input end of the consumption recommending module, and the output end of the consumption recommending module is electrically connected with the input end of the block sharing module.
According to the technical scheme, the data acquisition module comprises a face recognition unit and a time recording unit;
the face recognition unit is a face recognition camera which is arranged at a market entrance and exit, a shop entrance and exit and inside shops, the face recognition camera at the market entrance and exit is used for confirming whether a consumer who purchases goods in a market before purchases the goods, when the consumer purchases the goods in the market before, the historical consumption record of the consumer before is retrieved, the related shop and the goods are firstly recommended for the consumer according to the historical consumption record, when the consumer does not purchase the goods in the market before, the face information recognized by the face recognition camera at the market entrance and exit is used for recording the identity information of the consumer, meanwhile, the face recognition camera is used for registering the account number of the consumer and is used as a consumption label of the consumer, and the label is unique due to the fact that the face recognition record is adopted, and the face recognition camera at the shop entrance and exit is used for recognizing the identity information of the consumer entering the shop, confirming the consumption type of the consumer, wherein the consumption type can be clothes purchasing, entertainment consumption, catering consumption and the like, the face recognition camera in the shop is used for confirming the area and track of the consumer browsing commodities in the shop, the time recording unit is used for recording the time length of the consumer entering the market for consumption and is also used for recording the time length of the consumer entering each shop for consumption, when the time length T of the consumer entering the shop for consumption is less than or equal to T, the consumption process is not analyzed and shared, the operation pressure of the system is reduced, and data without reference value degree are excluded, wherein T represents the shortest time length threshold value entering the consumption shop;
the output end of the face recognition unit is electrically connected with the input ends of the central control module and the shop modeling module, and the output end of the time recording unit is electrically connected with the input end of the central control module.
According to the technical scheme, the shop modeling module comprises a data uploading unit, a model establishing unit, a block dividing unit, a position marking unit and a track simulating unit;
the data uploading unit is used for uploading the plane design size information of each shop, the model establishing unit is used for establishing a plane two-dimensional model of the shop and a two-dimensional coordinate system based on the two-dimensional model according to the plane design size information uploaded by the data uploading unit so as to be matched with the face recognition unit to better confirm the position of a consumer in the shop, and the block dividing unit is used for dividing the plane two-dimensional model of the shop into a plurality of blocks according to the placement positions of different types of goods in the shop, for example: the garment shop can be divided into a female garment block, a male garment block, a children garment block, a women's shoe block, a male shoe block, a children's shoe block and the like so as to confirm the consumption purpose of a consumer according to the browsing area of the consumer, the position marking unit marks the position of the consumer on the two-dimensional model according to the recognition result of the face recognition unit, the position marking unit marks the position when the face recognition unit recognizes face information, and the track simulation unit is used for converting point information of the consumer in the shop, which is recognized by the face recognition unit, into a commodity browsing track so as to confirm the consumption purpose and the shopping direction of the consumer according to the length of the browsing track in a certain block;
the output end of the data uploading unit is electrically connected with the input end of the model establishing unit, the model establishing unit establishes the two-dimensional model, the output end of the face recognition unit is electrically connected with the input end of the position marking unit, the output end of the position marking unit is connected with the two-dimensional model, and the output ends of the block dividing unit and the track simulating unit are both electrically connected with the two-dimensional model.
According to the technical scheme, the central control module comprises a central processing unit, a data calling unit and a data processing unit;
the central processing unit is used for storing and recording various data and calculating and processing the various data, the data calling unit is used for calling historical shopping information of consumers from the block chain, and the data processing unit is used for calculating and processing various data collected by the whole system;
the output ends of the data processing unit and the data calling unit are electrically connected with the input end of the central processing unit.
According to the technical scheme, the consumption recommending module comprises an information searching unit, a classifying and sorting unit and a shop recommending unit;
the information searching unit is used for searching shop information and commodity information matched with the information processed by the data processing unit from the block chain, the classification and sorting unit is used for classifying and sorting the shop information and the commodity information searched by the information searching unit, and the shop recommending unit is used for recommending the shop information and the commodity information to consumers according to the classification and sorting results of the shop information and the commodity information;
the output end of the central processing unit is connected with the input end of the information searching unit, the output end of the information searching unit is connected with the input end of the classification and sorting unit, and the output end of the classification and sorting unit is connected with the input end of the shop recommending unit.
According to the technical scheme, the block sharing module comprises a data sharing unit and block link points;
the data sharing unit is used for uploading shop information recommended to the consumer by the shop recommendation unit and browsing information of the consumer to the block chain for sharing so as to facilitate the recommended shop shopping guide to communicate with the consumer in time, and the block chain nodes are nodes of each shop on the block chain and are used for sharing and reading the consumption purpose and shopping direction information of the consumer;
the output end of the data sharing unit is electrically connected with the input end of the block chain node, and the block chain node forms a block chain.
According to the above technical solution, the block dividing unit divides the shop into a plurality of blocks, and the length of each block is represented by (X) in a two-dimensional coordinate systema,Ya) To (X)b,Yb) The width of each block is represented as (X) in a two-dimensional coordinate systemc,Yc) To (X)d,Yd);
The position marking unit marks the position when a consumer enters a block or leaves the block, and the position information of each block of the consumer is represented as (X) on a two-dimensional coordinate systemi,Yi) The position coordinate information of the consumer in one area forms a set L { (X)1,Y1),(X2,Y2),…,(Xn,Yn)};
Calculating the length of the consumer's trajectory along the X-axis of the two-dimensional coordinate system in a block according to the following formula:
Figure BDA0002544399730000061
calculating the length of the track of the consumer along the Y axis of the two-dimensional coordinate system in one block according to the following formula:
Figure BDA0002544399730000062
the length of the consumer's tilt trajectory in a tile is calculated according to the following formula:
Figure BDA0002544399730000071
Xi≠Xi+1and Y isi≠Yi+1
The total track length of the consumer in a block is calculated according to the following formula:
Lgeneral assembly=L1+L2+L3
According to the above technical solution, the data processing unit calculates the length L of the consumer's trajectory in each blockA,LB,LC,…,LZTransmitting to a Central Processing Unit (CPU), wherein the track length L of each block is determined by the CPUA,LB,LC,…,LZSorting and determining the longest track length LmaxThe block to which L belongsmaxIs LA,LB,LC,…,LZThe central processing unit confirms the type of the block, the type can be a garment shop which can be divided into a woman dress block, a man dress block, a children dress block, a woman shoe block, a man shoe block, a children shoe block and the like, and the central processing unit sends the type of the block to the information searching unit.
According to the technical scheme, the information searching unit searches the shops with the category in the block chain and sends shop information to the classifying and sorting unit, the classifying and sorting unit sorts the shops from high to low according to the sales of the shops, the sales of the shops are composed of the purchase information of the consumers shared by the data sharing unit, and the shop recommending unit recommends the shop information to the consumers in sequence in an information sending mode from high to low according to the sales, so that the shop information is provided for the consumers to select, and the time spent by the consumers in the shopping mall is reduced.
According to the technical scheme, the recommended shop information and the recommended commodity information are continuously updated according to the commodity browsing track information of the consumer in the commodity purchasing process of the consumer.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention can recommend the commodity to the consumers who do not shop in the market, so that the application range is wider, and the consumption purpose of the consumers can be analyzed along with the increase of the time and the times of browsing the commodity of the consumers, rather than the recommendation of the commodity only depending on the historical consumption record, so that the recommendation of the shop and the commodity can be carried out to each consumer.
2. The invention calculates according to the time spent by the consumer in the process of browsing the commodities and the moving track, and confirms the consumption purpose and the purchasing direction of the consumer, so that the accuracy of shop and commodity recommendation can be improved, the success rate of commodity transaction is improved, the consumption is promoted, meanwhile, the recommended shop can be informed that the consumer is about to go to the shopping, the service level of the shop is improved, and the consumption is promoted.
3. According to the invention, the browsing track of the consumer is recorded and calculated in a mode of establishing the shop two-dimensional model and the two-dimensional coordinate system, so that the calculation of the track is more accurate, the judgment of the consumer consumption purpose is more accurate, the shops and the commodities recommended to the consumer are more suitable for the shopping requirements of the consumer, the consumption is promoted, and the time of the consumer is saved.
Drawings
FIG. 1 is a schematic diagram illustrating the module components of a shopping mall shopping consumption recommendation system based on a block chain according to the present invention;
FIG. 2 is a schematic diagram of a module connection structure of a shopping mall shopping consumption recommendation system based on a block chain according to the present invention;
fig. 3 is a two-dimensional model diagram of a shop in an embodiment of the system for recommending shopping consumption in a shopping mall based on a block chain.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-2, a shopping mall shopping consumption recommendation system based on a block chain comprises a data acquisition module, a shop modeling module, a central control module, a consumption recommendation module and a block sharing module;
the system comprises a data acquisition module, a shop modeling module, a central control module, a consumption recommendation module and a block sharing module, wherein the data acquisition module is used for acquiring various data in a shopping mall, the shop modeling module is used for establishing a two-dimensional model of shops in the shopping mall, the central control module is used for analyzing consumption targets of consumers, the consumption recommendation module is used for recommending shop information and commodity information for the consumers, and the block sharing module is used for uploading the consumption targets of the consumers analyzed by the central control module to a block chain for sharing;
the output ends of the data acquisition module and the shop modeling module are electrically connected with the input end of the central control module, the output end of the data acquisition module is electrically connected with the input end of the shop modeling module, the output end of the central control module is electrically connected with the input end of the consumption recommending module, and the output end of the consumption recommending module is electrically connected with the input end of the block sharing module.
The data acquisition module comprises a face recognition unit and a time recording unit;
the face recognition unit is a face recognition camera which is arranged at a market entrance and exit, a shop entrance and exit and inside shops, the face recognition camera at the market entrance and exit is used for confirming whether a consumer who purchases goods in a market before purchases the goods, when the consumer purchases the goods in the market before, the historical consumption record of the consumer before is retrieved, the related shop and the goods are firstly recommended for the consumer according to the historical consumption record, when the consumer does not purchase the goods in the market before, the face information recognized by the face recognition camera at the market entrance and exit is used for recording the identity information of the consumer, meanwhile, the face recognition camera is used for registering the account number of the consumer and is used as a consumption label of the consumer, and the label is unique due to the fact that the face recognition record is adopted, and the face recognition camera at the shop entrance and exit is used for recognizing the identity information of the consumer entering the shop, confirming the consumption type of the consumer, wherein the consumption type can be clothes purchasing, entertainment consumption, catering consumption and the like, the face recognition camera in the shop is used for confirming the area and track of the consumer browsing commodities in the shop, the time recording unit is used for recording the time length of the consumer entering the market for consumption and is also used for recording the time length of the consumer entering each shop for consumption, when the time length T of the consumer entering the shop for consumption is less than or equal to T, the consumption process is not analyzed and shared, the operation pressure of the system is reduced, and data without reference value degree are excluded, wherein T represents the shortest time length threshold value entering the consumption shop;
the output end of the face recognition unit is electrically connected with the input ends of the central control module and the shop modeling module, and the output end of the time recording unit is electrically connected with the input end of the central control module.
The shop modeling module comprises a data uploading unit, a model establishing unit, a block dividing unit, a position marking unit and a track simulating unit;
the data uploading unit is used for uploading the plane design size information of each shop, the model establishing unit is used for establishing a plane two-dimensional model of the shop and a two-dimensional coordinate system based on the two-dimensional model according to the plane design size information uploaded by the data uploading unit so as to be matched with the face recognition unit to better confirm the position of a consumer in the shop, and the block dividing unit is used for dividing the plane two-dimensional model of the shop into a plurality of blocks according to the placement positions of different types of goods in the shop, for example: the garment shop can be divided into a female garment block, a male garment block, a children garment block, a women's shoe block, a male shoe block, a children's shoe block and the like so as to confirm the consumption purpose of a consumer according to the browsing area of the consumer, the position marking unit marks the position of the consumer on the two-dimensional model according to the recognition result of the face recognition unit, the position marking unit marks the position when the face recognition unit recognizes face information, and the track simulation unit is used for converting point information of the consumer in the shop, which is recognized by the face recognition unit, into a commodity browsing track so as to confirm the consumption purpose and the shopping direction of the consumer according to the length of the browsing track in a certain block;
the output end of the data uploading unit is electrically connected with the input end of the model establishing unit, the model establishing unit establishes the two-dimensional model, the output end of the face recognition unit is electrically connected with the input end of the position marking unit, the output end of the position marking unit is connected with the two-dimensional model, and the output ends of the block dividing unit and the track simulating unit are both electrically connected with the two-dimensional model.
The central control module comprises a central processor, a data calling unit and a data processing unit;
the central processing unit is used for storing and recording various data and calculating and processing the various data, the data calling unit is used for calling historical shopping information of consumers from the block chain, and the data processing unit is used for calculating and processing various data collected by the whole system;
the output ends of the data processing unit and the data calling unit are electrically connected with the input end of the central processing unit.
The block dividing unit divides the shop into a plurality of blocks, and the length of each block is expressed as (X) in a two-dimensional coordinate systema,Ya) To (X)b,Yb) The width of each block is represented as (X) in a two-dimensional coordinate systemc,Yc) To (X)d,Yd);
The position marking unit marks the position when a consumer enters a block or leaves the block, and the position information of each block of the consumer is represented as (X) on a two-dimensional coordinate systemi,Yi) The position coordinate information of the consumer in one area forms a set L { (X)1,Y1),(X2,Y2),…,(Xn,Yn)};
Calculating the length of the consumer's trajectory along the X-axis of the two-dimensional coordinate system in a block according to the following formula:
Figure BDA0002544399730000121
calculating the length of the track of the consumer along the Y axis of the two-dimensional coordinate system in one block according to the following formula:
Figure BDA0002544399730000122
the length of the consumer's tilt trajectory in a tile is calculated according to the following formula:
Figure BDA0002544399730000131
Xi≠Xi+1and Y isi≠Yi+1
The total track length of the consumer in a block is calculated according to the following formula:
Lgeneral assembly=L1+L2+L3
The data processing unit calculates the track length L of each block of the consumerA,LB,LC,…,LZTransmitting to a Central Processing Unit (CPU), wherein the track length L of each block is determined by the CPUA,LB,LC,…,LZSorting and determining the longest track length LmaxThe block to which L belongsmaxIs LA,LB,LC,…,LZThe central processing unit confirms the type of the block, the type can be a garment shop which can be divided into a woman dress block, a man dress block, a children dress block, a woman shoe block, a man shoe block, a children shoe block and the like, and the central processing unit sends the type of the block to the information searching unit.
The consumption recommending module comprises an information searching unit, a classifying and sorting unit and a shop recommending unit;
the information searching unit is used for searching shop information and commodity information which are matched with the information processed by the data processing unit from the block chain, the classification and sorting unit is used for classifying and sorting the shop information and the commodity information searched by the information searching unit, the shop recommending unit is used for recommending the shop information and the commodity information to consumers according to the classification and sorting results of the shop information and the commodity information, wherein the shop information comprises the position information of shops, the brand information of shops, the sales amount information of shops and the like, and the commodity information comprises the size information of commodities, the category information of commodities and the like;
the output end of the central processing unit is connected with the input end of the information searching unit, the output end of the information searching unit is connected with the input end of the classification and sorting unit, and the output end of the classification and sorting unit is connected with the input end of the shop recommending unit.
The block sharing module comprises a data sharing unit and block link points;
the data sharing unit is used for uploading shop information recommended to the consumer by the shop recommendation unit and browsing information of the consumer to the block chain for sharing so as to facilitate the recommended shop shopping guide to communicate with the consumer in time, and the block chain nodes are nodes of each shop on the block chain and are used for sharing and reading the consumption purpose and shopping direction information of the consumer;
the output end of the data sharing unit is electrically connected with the input end of the block chain node, and the block chain node forms a block chain.
The information searching unit searches the shops with the category in the block chain and sends shop information to the classifying and sorting unit, the classifying and sorting unit sorts the shops according to the sales of the shops from high to low, the sales of the shops consist of the purchase information of the consumers shared by the data sharing unit, and the shop recommending unit sequentially recommends the shop information to the consumers according to the sales from high to low in a mode of sending the information, so that the shop information is provided for the consumers to select, and the time spent by the consumers in the shopping mall is reduced.
And continuously updating the recommended shop information and the recommended commodity information according to the commodity browsing track information of the consumer in the commodity purchasing process by the consumer.
The shopping mall shopping consumption recommendation system recommends different types of stores to consumers according to different time periods, and the recommendation of the different types of stores is based on the number of consumers of the different types of stores in different time periods, for example: the dining stores are recommended to the consumers in the lunch time period, and the tea stores or entertainment stores are recommended to the consumers in the afternoon time period.
Example, as shown in fig. 3:
the position coordinate information of the men's clothing area (area A) of the customer in one shop forms a set LA-position coordinate information of said consumer in woman's dress area (area B) } set L { (6.5,14), (4,12), (4,11) }B={(4,9),(4,8),(2,6),(6,6),(6,3),(3,2),(3,3),(1,4),(1,9)};
The length of the consumer's trajectory along the X-axis of the two-dimensional coordinate system in the men's wear area (area a) is calculated according to the following formula:
Figure BDA0002544399730000151
the length of the consumer's trajectory along the Y-axis of the two-dimensional coordinate system in the men's wear area (area A) is calculated according to the following formula:
Figure BDA0002544399730000152
the length of the consumer's inclined trajectory in the men's wear area (area a) is calculated according to the following formula:
Figure BDA0002544399730000153
Figure BDA0002544399730000154
Xi≠Xi+1and Y isi≠Yi+1
The total trajectory length of the consumer in the men's wear area (area a) is calculated according to the following formula:
LA=L1+L2+L3=0+1+6.25=7.25。
the length of the consumer's trajectory along the X-axis of the two-dimensional coordinate system in the dress area (B-area) is calculated according to the following formula:
Figure BDA0002544399730000161
the length of the consumer's trajectory along the Y-axis of the two-dimensional coordinate system in the dress area (B area) is calculated according to the following formula:
Figure BDA0002544399730000162
the length of the consumer's inclined trajectory in the dress area (B-area) is calculated according to the following formula:
Figure BDA0002544399730000163
Figure BDA0002544399730000164
Xi≠Xi+1and Y isi≠Yi+1
The total trajectory length of the consumer in the men's wear area (area a) is calculated according to the following formula:
LB=L1+L2+L3=4+10+8.23=22.23。
the data processing unit calculates the track length L of the consumer in the men's clothing area (area A) and the women's clothing area (area B)A,LBTransmitting to a Central Processing Unit (CPU), wherein the track length L of each block is determined by the CPUA,LBSorting and determining the longest track length Lmax=LBThe CPU determines the type of the block as a woman dress area (B area), and sends the type of the block to the information searching unit.
The information searching unit searches shops with the suit-dress areas in the block chain and sends shop information to the classifying and sorting unit, the classifying and sorting unit sorts the shops according to the sales volume of the shops from high to low, and the shop recommending unit recommends the shop information to the consumers in sequence according to the mode of sending the information from high to low, so that the consumers can select the shop information.
And continuously updating the recommended shop information and the recommended commodity information according to the commodity browsing track information of the consumer in the commodity purchasing process by the consumer.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (10)

1. The utility model provides a market shopping consumption recommendation system based on block chain which characterized in that: the shopping mall shopping consumption recommendation system comprises a data acquisition module, a shop modeling module, a central control module, a consumption recommendation module and a block sharing module;
the system comprises a data acquisition module, a shop modeling module, a central control module, a consumption recommendation module and a block sharing module, wherein the data acquisition module is used for acquiring various data in a shopping mall, the shop modeling module is used for establishing a two-dimensional model of shops in the shopping mall, the central control module is used for analyzing consumption targets of consumers, the consumption recommendation module is used for recommending shop information and commodity information for the consumers, and the block sharing module is used for uploading the consumption targets of the consumers analyzed by the central control module to a block chain for sharing;
the output ends of the data acquisition module and the shop modeling module are electrically connected with the input end of the central control module, the output end of the data acquisition module is electrically connected with the input end of the shop modeling module, the output end of the central control module is electrically connected with the input end of the consumption recommending module, and the output end of the consumption recommending module is electrically connected with the input end of the block sharing module.
2. A shopping mall shopping consumption recommendation system according to claim 1, wherein: the data acquisition module comprises a face recognition unit and a time recording unit;
the system comprises a face recognition unit, a time recording unit and a display unit, wherein the face recognition unit is a face recognition camera which is arranged at a mall entrance and exit, a shop entrance and exit and inside shops, the face recognition camera at the mall entrance and exit is used for confirming whether a consumer who shops shopping before purchases a commodity in the mall or not, the face recognition camera at the shop entrance and exit is used for recognizing identity information of the consumer who enters the shop, the face recognition camera at the shop inside is used for confirming an area and a track of the consumer who browses the commodity in the shop, and the time recording unit is used for recording the time length of the consumer who enters the mall for consumption and is also used for recording the time length of the consumer who enters each shop for consumption;
the output end of the face recognition unit is electrically connected with the input ends of the central control module and the shop modeling module, and the output end of the time recording unit is electrically connected with the input end of the central control module.
3. A shopping mall shopping consumption recommendation system according to claim 2, wherein: the shop modeling module comprises a data uploading unit, a model establishing unit, a block dividing unit, a position marking unit and a track simulating unit;
the system comprises a data uploading unit, a model establishing unit, a block dividing unit, a position marking unit, a track simulating unit and a control unit, wherein the data uploading unit is used for uploading the plane design size information of each shop, the model establishing unit is used for establishing a plane two-dimensional model of the shop and a two-dimensional coordinate system based on the two-dimensional model according to the plane design size information uploaded by the data uploading unit, the block dividing unit is used for dividing the plane two-dimensional model of the shop into a plurality of blocks according to the placement positions of different types of goods in the shop, the position marking unit marks the position of a consumer on the two-dimensional model according to the recognition result of a face recognition unit, and the track simulating unit is used for converting the point information of the consumer recognized by the face recognition unit in;
the output end of the data uploading unit is electrically connected with the input end of the model establishing unit, the model establishing unit establishes the two-dimensional model, the output end of the face recognition unit is electrically connected with the input end of the position marking unit, the output end of the position marking unit is connected with the two-dimensional model, and the output ends of the block dividing unit and the track simulating unit are both electrically connected with the two-dimensional model.
4. A shopping mall shopping consumption recommendation system according to claim 3, wherein: the central control module comprises a central processor, a data calling unit and a data processing unit;
the central processing unit is used for storing and recording various data and calculating and processing the various data, the data calling unit is used for calling historical shopping information of consumers from the block chain, and the data processing unit is used for calculating and processing various data collected by the whole system;
the output ends of the data processing unit and the data calling unit are electrically connected with the input end of the central processing unit.
5. The system of claim 4, wherein the system comprises: the consumption recommending module comprises an information searching unit, a classifying and sorting unit and a shop recommending unit;
the information searching unit is used for searching shop information and commodity information matched with the information processed by the data processing unit from the block chain, the classification and sorting unit is used for classifying and sorting the shop information and the commodity information searched by the information searching unit, and the shop recommending unit is used for recommending the shop information and the commodity information to consumers according to the classification and sorting results of the shop information and the commodity information;
the output end of the central processing unit is connected with the input end of the information searching unit, the output end of the information searching unit is connected with the input end of the classification and sorting unit, and the output end of the classification and sorting unit is connected with the input end of the shop recommending unit.
6. The system of claim 5, wherein the system comprises: the block sharing module comprises a data sharing unit and block link points;
the data sharing unit is used for uploading shop information recommended to the consumer by the shop recommending unit and browsing information of the consumer to the block chain for sharing, and the block chain node is a node of each shop on the block chain and is used for sharing and reading consumption purpose and shopping direction information of the consumer;
the output end of the data sharing unit is electrically connected with the input end of the block chain node, and the block chain node forms a block chain.
7. A shopping mall shopping consumption recommendation system according to claim 6, wherein: the block dividing unit divides the shop into a plurality of blocks, and the length of each block is expressed as (X) in a two-dimensional coordinate systema,Ya) To (X)b,Yb) The width of each block is represented as (X) in a two-dimensional coordinate systemc,Yc) To (X)d,Yd);
The position marking unit marks the position when a consumer enters a block or leaves the block, and the position information of each block of the consumer is represented as (X) on a two-dimensional coordinate systemi,Yi) The position coordinate information of the consumer in one area forms a set L { (X)1,Y1),(X2,Y2),…,(Xn,Yn)};
Calculating the length of the consumer's trajectory along the X-axis of the two-dimensional coordinate system in a block according to the following formula:
Figure FDA0002544399720000041
Yi=Yi+1
calculating the length of the track of the consumer along the Y axis of the two-dimensional coordinate system in one block according to the following formula:
Figure FDA0002544399720000042
Xi=Xi+1
the length of the consumer's tilt trajectory in a tile is calculated according to the following formula:
Figure FDA0002544399720000051
Xi≠Xi+1and Y isi≠Yi+1
The total track length of the consumer in a block is calculated according to the following formula:
Lgeneral assembly=L1+L2+L3
8. A shopping mall shopping consumption recommendation system according to claim 7, wherein: the data processing unit calculates the track length L of each block of the consumerA,LB,LC,…,LZTransmitting to a Central Processing Unit (CPU), wherein the track length L of each block is determined by the CPUA,LB,LC,…,LZSorting and determining the longest track length LmaxThe block to which L belongsmaxIs LA,LB,LC,…,LZThe central processing unit confirms the type of the block, and the central processing unit sends the type of the block to the information searching unit.
9. A shopping mall shopping consumption recommendation system according to claim 8, wherein: the information searching unit searches the shops with the category in the block chain and sends shop information to the classifying and sorting unit, the classifying and sorting unit sorts the shops according to the sales volume of the shops from high to low, and the shop recommending unit recommends the shop information to the consumer in sequence according to the mode of sending the information from high to low, so that the consumer can select the shop information.
10. A shopping mall shopping consumption recommendation system according to claim 9, wherein: and continuously updating the recommended shop information and the recommended commodity information according to the commodity browsing track information of the consumer in the commodity purchasing process by the consumer.
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