CN106529998A - Statistical method for analyzing a POS (Point of Sales) extension region and system - Google Patents
Statistical method for analyzing a POS (Point of Sales) extension region and system Download PDFInfo
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- CN106529998A CN106529998A CN201610952992.7A CN201610952992A CN106529998A CN 106529998 A CN106529998 A CN 106529998A CN 201610952992 A CN201610952992 A CN 201610952992A CN 106529998 A CN106529998 A CN 106529998A
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Abstract
The invention discloses a statistical method for analyzing a POS (Point of Sales) extension region. The method includes the following steps that: POS machine spatial location information and transaction information data are acquired; a POS machine distribution condition and a POS machine consumption popularity condition in a region are obtained according to the acquired data; the POS machine distribution condition in the region is compared with the POS machine consumption popularity condition in the region, so that a POS machine utilization rate in the region is obtained; and a merchant distribution condition and a merchant clustering quantity popularity condition in the region are obtained, and the association rule of POS demand indexes in the region is obtained based on the POS machine distribution condition, the POS machine consumption popularity condition and the POS machine utilization rate in the region. According to the statistical method of the invention, data advantages are fully utilized, and problems such as unreasonable POS machine layout can be solved through analysis on a large quantity of multi-source data; and a new idea can be provided for the development of the billing business of bank POS machines, and the market competitiveness of the bank POS machines can be enhanced.
Description
Technical field
The present invention relates to the analytical technology of the placement region of POS, specially a kind of analysis for POS promoting region
Method and system.
Background technology
POS (Point of Sales) i.e. point of sales terminals, refer to trade company management place arrange for accepting customer
The terminal device of brush bank card checkout is handled, is a kind of common means of payment, there have the advantages that to be convenient, safe.POS receives single industry
Business refers to that final holder carries out the business of bank settlement in bank contractor management place bankcard consumption.In recent years, with silver
Row card popularization and payment environment it is perfect, and people with card pay custom gradually form, POS receipts list business develop rapidly,
Receive single number and the amount of money is increased substantially year by year.POS is received the development of single business and can not only provide bank card use to holder
Good environment, more can be offered convenience using bank card to client, especially with credit card purchase, credit card can be increased and held
The credit line of person, obtains integration and trade company's indulgence that bank gives, makes the client for holding credit card obtain preferential.For bank
Speech, POS receive the impetus that single business is the bank service people's livelihood and real economy, are the long-range strategy industry of numerous business banks
Business.POS is received the benign development of single business and can inject fresh vigor to whole bank card system, improves bank intermediary business
Income, optimize bank client structure, improve bank business efficiency, especially for pull cash in banks business have important
Strategic value.Therefore, develop the single business of POS receipts significant for the operation of bank's whole system.
As the Third-party payment company for obtaining the single qualification of receipts increases, and pay under wechat payment, Alipay line etc.
Rise, POS receives single market competition and is growing more intense, the single business of banking service POS receipts is proposed under new environment bigger
Challenge.Bank card business whether can good development go down, it is deciding factor to accept market, needs to give priority to POS
Lay, promotion business, with this realize benefit lifted strive for more high-quality franchised businesses.Although China lays the development of POS business
Several years, but also exist that problems are urgently to be resolved hurrily, such as POS utilization rate has much room for improvement, and POS lays skewness
Weighing apparatus.The concrete manifestation of these problems is：In the emphasis place of the initial stages such as hotel, market development, the popularity rate of merchant equipment is higher,
But utilization rate is possible to not high；But in some tourist attractions, public public institution, large-scale logistics area and tier 2 cities circumferentially
The popularity rate of the equipment such as band, POS is badly in need of improving.Therefore, it is how scientific and reasonable, effectively lay POS, utilize to greatest extent
Good resource, receives single business and is particularly important to banking service POS.
In view of this, it is special to propose the present invention.
The content of the invention
The technical problem to be solved in the present invention is to overcome the deficiencies in the prior art, there is provided a kind of to push away for analyzing POS
The statistical method in wide region, using mutual data edge, solves POS and lays not conforming to by the analysis to a large amount of, multi-source data
The problems such as reason.
To solve above-mentioned technical problem, the present invention using the basic conception of technical scheme is：
A kind of statistical method for analyzing POS promoting region, including：
Collection POS spatial positional information and trading information data, set up POS real-time position information storehouse for storing
The placement information of POS, and set up POS swipe the card in real time and transaction location information bank be used for store POS occur hand over
Longitude and latitude positional information and consumption information when easily；
POS distribution situation in region is drawn according to POS real-time position information storehouse, is swiped the card in real time and is handed over according to POS
Easily positional information storehouse draws POS consumption heating power situation；
POS distribution situation in region and POS consumption heating power situation are contrasted, is shown that POS is utilized in region
Rate；
Obtain in region trade company's distribution situation and trade company's aggregate amount heating power situation and lay the usage frequency of POS,
In calmodulin binding domain CaM, POS distribution situation and POS consume POS utilization rate in heating power situation and region, according to POS in region
The correlation rule of machine demand index, calculates POS demand index in analyzed area.
Further, it is in the above-mentioned statistical method for analyzing POS promoting region, described according to POS real time position
Information bank show that POS distribution situation includes in region：
Based on the POS spatial positional information of POS real-time position information library storage, the deployment of target area POS is drawn
Situation distribution map；
It is described swiped the card according to POS in real time and transaction location information bank draw POS consumption heating power situation include：
Swiped the card based on POS in real time and transaction location information library storage POS bankcard consumption when the real time position that produces
And the POS spatial positional information stored in Transaction Information, and POS real-time position information storehouse, using Density Estimator side
Method, draws target area POS consumption heating power index map.
Further, it is in the above-mentioned statistical method for analyzing POS promoting region, described that POS in region is distributed
Situation and POS consumption heating power situation are contrasted, and show that POS utilization rate includes in region：
The POS that calculating is used and the ratio of total POS quantity of regional deployment, draw the POS utilization rate in region.
Further, in the above-mentioned statistical method for analyzing POS promoting region, in the acquisition region, POS is needed
The correlation rule of index is sought, is included with calculating POS demand index in analyzed area：
According to POS deployment scenario distribution map, if the POS distribution in target area is rare, but the region trade company assembles
Calorimetric power index is high, then POS demand index in region is relevant with POS usage frequency；Region POS demand index and the region
The usage frequency positive correlation of POS, is formulated as：
P～k1(U+1) (1)
In formula, P for POS demand index, U be region POS usage frequency, k1For POS demand index and POS
Proportionality coefficient between usage frequency.
Further, in the above-mentioned statistical method for analyzing POS promoting region, in the acquisition region, POS is needed
The correlation rule of index is asked to include：
According to POS deployment scenario distribution map, if the POS distribution in target area is rare, but the region is for POS
The utilization rate of machine is high, if while the region trade company aggregate amount heating power index is big, region POS demand index and the region trade company
Aggregate amount heating power index is proportionate, and is formulated as：
P～k2(D+1) (2)
In formula, P for POS demand index, D be trade company's aggregate amount heating power index, k2For POS demand index and the area
Proportionality coefficient between domain trade company aggregate amount heating power index.
Further, in the above-mentioned statistical method for analyzing POS promoting region, in the acquisition region, POS is needed
The correlation rule of index is asked to include：
If the POS utilization rate statistical value of target area and trade company's aggregate amount heating power index are all high, with cloth in time domain
The POS quantity put is few, then the POS quantity that POS demand index in region has been laid with the region uses formula table in negative correlation
It is shown as：
P～k3(N+1) (3)
In formula, demand indexs of the P for POS, the POS quantity that N has been laid for region, k3For POS demand index with
Coefficient of relationship between the POS quantity that the region has laid.
Further, in the above-mentioned statistical method for analyzing POS promoting region, the collection POS locus
Information and trading information data, set up POS real-time position information storehouse for storing the placement information of POS, Yi Jijian
Vertical POS is swiped the card in real time and transaction location information bank is used to store longitude and latitude positional information when POS generation is concluded the business and consumption
Information also includes：
Standardization processing is carried out to data, makes the data form of same alike result classification consistent：
Data after standardization processing are filtered, data form unmatched data are modified：
The carrying out of data is translated, by data with specific symbol representing that specific meanings data are translated so as to
Representation is consistent.
A kind of system for implementing said method, including：
POS terminal：It is configured to gather POS spatial positional information and trading information data；
DBM：It is configured to set up POS reality according to collection POS spatial positional information and trading information data
When positional information storehouse be used to store the placement information of POS, and set up POS and swipe the card in real time and transaction location information bank
There is longitude and latitude positional information and consumption information when concluding the business for storing POS；
Data Integration module：It is configured to draw POS distribution situation in region, root according to POS real-time position information storehouse
Swiped the card according to POS in real time and transaction location information bank draws POS consumption heating power situation；
POS distribution situation in region and POS consumption heating power situation are contrasted, is shown that POS is utilized in region
Rate；
Data association module：It is configured to obtain in region trade company's distribution situation and trade company's aggregate amount heating power situation and cloth
The usage frequency of POS is put, POS distribution situation and POS consume POS profit in heating power situation and region in calmodulin binding domain CaM
With rate, according to the correlation rule of POS demand index in region, POS demand index in analyzed area is calculated.
After above-mentioned technical proposal, the present invention is had the advantages that compared with prior art：
The present invention has considered the locus of the POS that each region has laid, trade company and has used the frequency of POS, business
Family distribution situation and aggregation extent etc. factor, is analyzed using sufficient data supporting, goes to lay or promote POS,
Avoid repetition from laying POS and cause waste of resource, be also avoided that some tourist attractions, public public institution, large-scale logistics area and
Tier 2 cities perimeter strip etc. causes the situation that a large amount of top-tier customers are lost in as POS popularity rate is not high.It is of the invention abundant
Using data edge, the problems such as solving POS by the analysis to a large amount of, multi-source data and lay unreasonable, it is bank POS machine
Receive single business development and new approaches are provided, and then improve the market competitiveness.
Description of the drawings
Fig. 1 is a kind of FB(flow block) for analyzing the statistical method of POS promoting region of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings and specific embodiment, the invention will be further described, to help understanding present disclosure.
As shown in figure 1, a kind of statistical method for analyzing POS promoting region, including
Collection POS spatial positional information and trading information data；
POS distribution situation and POS consumption heating power situation in region are drawn according to the data of collection；
POS distribution situation in region and POS consumption heating power situation are contrasted, is shown that POS is utilized in region
Rate；
Obtain region in trade company's distribution situation and trade company's aggregate amount heating power situation, in calmodulin binding domain CaM POS distribution situation and
POS consumes POS utilization rate in heating power situation and region, according to the correlation rule of POS demand index in region, calculates
POS demand index in analyzed area.
Comprise the following steps that：
1st, POS spatial positional information and trading information data are gathered
The latitude and longitude coordinates of POS are determined based on mobile POS system base-station positioning and GPS location signal, to POS
Locus positioned in real time, POS real-time position information storehouse is set up according to the spatial positional information of POS of collection,
For storing the placement information of POS, including the latitude and longitude information of numbering and POS etc. of POS.
At present, there is the POS terminal electronic fare payment system of positioning function, the POS terminal bag in the system on market
Include main control module and communication module, positioning function can obtain the geographical location information at POS place, main control module is for every one
The geographical location information and transaction record are sent to far-end server by section Preset Time by the communication module.But this
Plant only to possess and POS effectively followed the trail of using the payment terminal with trading situation, simply solve the problems, such as POS safety in utilization,
Further data cannot be excavated, not possess the initiative of POS demand analysis；Because the retrievable space of the POS
Positional information and Transaction Information are similar with the data that the present invention need to be gathered, therefore are possible with the inventive method above-mentioned with positioning
The POS terminal collection of function obtains POS spatial positional information and transaction data.
Bank's cardholder using bank card to the mobile POS that each trade company sells carry out bankcard consumption when, can produce
Abundant consumption information data, wherein consumption information include name of firm, trade company's coding, trade company's classification code, the brush of affiliated trade company
The POS numbering of card transaction, trade date, transaction card number, card belong to (local line, he manage it card), card classification (credit card, debit
Card), dealing money transaction in the middle of income etc. transaction data；According to the POS spatial positional information and consumption letter of above-mentioned collection
Breath is set up POS and is swiped the card in real time and transaction location information bank, for store longitude and latitude positional information when POS occurs transaction and
Consumption information.
Wherein, the POS spatial positional information and Transaction Information of collection needs to carry out data processing：Including
(1) standardization processing is carried out to data：
By in the POS transaction data and trade company's data of trade company same alike result classification (as trade company's coding, trade date,
Dealing money etc. attribute classification) it is uniformly processed, various data forms are standardized；For example by the transaction in data
Date is disposed as date format, and transaction data is disposed as consolidation form, adds currency type symbol, etc. such as before Arabic numerals.
Make the data form of same alike result classification consistent；
(2) data after standardization processing are filtered：
Data after standardization processing will be loaded into information bank (includes that POS real-time position information storehouse and POS are brushed in real time
Card and transaction location information bank) in, before entering in information bank, the data that first will be loaded in information bank are sentenced
Disconnected, to modify, that purified treatment complies with unified standard is (i.e. advance by data form unmatched data filtering out
The data form of regulation), such as some dates are represented with text formatting, then be converted into date format；Or will be with
It is past to be corrected etc. with old trade company's coded system；Data filtering ensures that the data standard being loaded in information bank can use, and reduces
Error rate.
(3) translation of data and formatting
As the data in the data source that gathers are representing specific meanings, to need to enter which a bit with specific symbol
Row translation；For example for the expression of expenses standard, be with numerical chracter come represent fixed ratio, ratio respectively and bind the amount of money with
And collect by pen, then for the expenses standard for not meeting the representation needs to be translated；Therefore data for convenience
Loading operation, need to carry out unitized translation so as to which representation is consistent to special symbol in data.
2nd, draw the POS deployment scenario distribution map and POS consumption heating power index map of target area
Based on the POS spatial positional information of POS real-time position information library storage, POS is drawn in target area (i.e.
The region of POS deployment analysis is carried out to which) deployment scenario distribution map；POS distribution map is drawn based on geographical position is
This area mature technology, for example, can obtain POS distribution map using existing satellite remote sensing plateform system, and the present invention no longer does
It is unnecessary to repeat.
Swiped the card based on POS in real time and transaction location information library storage POS bankcard consumption when the real time position that produces
And the POS spatial positional information stored in Transaction Information, and POS real-time position information storehouse, using Density Estimator side
Method, draws target area POS consumption heating power index map.
Wherein Density Estimator analysis mode is mainly by means of a mobile cell (equivalent to window) to a lattice
Office's density is estimated, selects a target area by mobile unit gridiron, be divided into uniform in size closely adjacent
Grid array, each grid carries out POS density estimation in grid as a point；The spatial analysis that this non-ginseng is estimated
Method, with expression it is directly perceived, concept is succinct and is easy to computer implemented advantage.
Target area POS consumption heating power index map method for drafting of the present invention is specially：
1. target area is divided into into equally spaced grid；
2. count the turnover (i.e. consumption heating power index in the grid) that POS is produced in each grid；
3. the cell coloring according to turnover to POS to being located；With how many determining unit lattice color depths of turnover
It is shallow.
General increase regional frame selects the density value that area will not make obtained by calculating, and great changes will take place.Although bigger neighborhood
It is interior comprising more points, but to count divided by bigger area when calculating density.Therefore this computational methods of the invention have
The applicability and accuracy of wide scope.
3rd, comparative pattern data are analyzed, and calculate POS utilization rate
It is right that POS deployment scenario distribution map and target area POS consumption heating power index map to target area is carried out
The overall transaction situation of the distribution situation and POS of POS quantity in region can be drawn than analysis：
1. calculate the ratio of the POS in use and total POS quantity of regional deployment, it can be deduced that in each region
POS utilization rate；By counting POS utilization rate, can roughly from whether macroscopically understanding each region POS discharging quantity
Properly.
2. make business with target area totality POS quantity additionally by by the POS totality turnover in target area, can
The average transaction situation of POS in region is drawn, can be as the utilization rate of single POS in target area as reference using this
With.
4th, each region trade company distribution map and aggregate amount heating power index map are drawn
By means of network data, such as Internet map, each region name of firm, merchant type and merchant location can be obtained
Etc. data, trade company's distribution map is drawn out.On this basis, using Density Estimator method, each region trade company aggregate amount is obtained
Heating power index map：
1. based on target area trade company distribution map, by trade company's distribution map rasterizing；
2. count the number of trade company in each grid region；
3. each grid region is carried out by the statistical value (i.e. grid region trade company aggregate amount heating power index) of trade company's quantity
Depth coloring draws trade company's aggregate amount heating power index map.
5th, POS demand analysis
In calmodulin binding domain CaM, POS distribution situation and POS consume POS utilization rate in heating power situation and region, obtain
The correlation rule of POS demand index in region, to calculate POS demand index in analyzed area, (i.e. region is covered to POS
Lid demand index).
Information database is set up in the distribution and trading situation for obtaining POS, can sum up trade company's feature or consumer disappears
Take custom, but how maintenance data is promoted with POS, effectively lays that to be associated be still a problem.Pin is in this regard, present invention profit
Pleaded condition with Method of Association Rules Data Mining research POS region；Association is between two or more variable-values
Certain having is regular, can simply be divided into simple, cause and effect, sequential correlation.The analysis of data correlation is according in database
Relation between the data natively having is analyzed and obtains certain result.Due to be not generally very clearly or
Very certainly the correlation function for knowing data, so there is high confidence level using the rule produced after association analysis.In association
How how about in algorithm, the simple form that rule is " if condition, then result is with regard to " in itself is expressed as " A=>
B ", it includes two parts：The A on the left side is former piece, and the B on the right is consequent.Former piece includes one or more condition, gives at one
In the case of determining accuracy restriction, want to make consequent be true, all conditions in former piece must be true.And consequent is typically only wrapped
Containing a kind of situation.Confidence level is for rule, for " A=>B " is regular, and its confidence level is equal to：Unit comprising A and B
Group number/the number of tuples comprising A.
With reference to POS distribution situation (the POS quantity for having laid or density), POS utilization rate statistical value, POS
Usage frequency and each region trade company aggregate amount heating power index, build POS demand index using Density Estimator method.Wherein
The construction method of POS demand index is：
1. by target area rasterizing；
2. by the statistical value (being obtained based on POS distribution situation) of POS utilization rate in each grid region and target area
Trade company gathers heating power index and does multiplying, then the result for drawing is invested POS, obtains the demand index of region POS.
Specifically, when certain condition is met, POS demand index is associated mainly including following with aforementioned four variable
Three kinds of situations：
(1) POS demand index and POS usage frequency positive correlation
With reference to POS deployment scenario distribution map, if the POS distribution in target area is sparser, but the region trade company is poly-
Collection calorimetric power index is higher.In this case, POS demand index in region is relevant with POS usage frequency；
If the usage frequency for having laid trade company's POS of POS is higher, laying for POS may affect consumer
For the selection of consumption trade company, consumer may be abandoned consumption because of swiping the card, and then affect the operation of trade company
Situation, at this moment, the trade company for not laying POS may be larger to the demand of POS.Therefore, in this case, region POS is needed
Index and the region POS usage frequency positive correlation are asked, be can be formulated as：
P～k1(U+1) (1)
In formula, P for POS demand index, U for region POS usage frequency (usage frequency of POS be unit
The statistics of the POS work frequency in time, can be obtained by the background data base that POS is networked), k1For POS demand index with
Proportionality coefficient between POS usage frequency, k1For constant.
(2) POS demand index and trade company's aggregate amount heating power index positive correlation
With reference to POS deployment scenario distribution map, if in target area POS distribution it is sparser, but the region for
The utilization rate of POS is higher, if while the region trade company aggregate amount heating power index is larger, the region is for the demand of POS
May be higher.In this case, POS demand index in region is proportionate with the region trade company aggregate amount heating power index, be can use
Formula is expressed as：
P～k2(D+1) (2)
In formula, P for POS demand index, D be trade company's aggregate amount heating power index, k2For POS demand index and the area
Proportionality coefficient between domain trade company aggregate amount heating power index, k2For constant.
(3) POS demand index is negatively correlated with POS deployment quantity
If the POS utilization rate statistical value of target area and trade company's aggregate amount heating power index are all higher, the region POS
Demand is relevant with the POS quantity that the region has laid, if the POS negligible amounts for having laid, the demand to POS
May be higher.In this case, the POS quantity that POS demand index in region has been laid with the region, can be with public affairs in negative correlation
Formula is expressed as：
P～k3(N+1) (3)
In formula, demand indexs of the P for POS, the POS quantity that N has been laid for region, k3For POS demand index with
Coefficient of relationship between the POS quantity that the region has laid, k3For constant.
Each region can further be drawn out according to the POS demand index for drawing demand index figure is covered to POS, so as to
It is directly perceived to understand.The size of POS demand index analysis result in region is drawn by correlation rule, POS is rationally disposed in region
Machine, demand index are more big, can increase POS quantity, otherwise then reduce, and determine the promoting region of POS；It is of the invention comprehensive
Consider frequency, trade company's distribution situation and aggregation that the locus of the POS that each region has laid, trade company use POS
Degree etc. factor, builds space consumption big data record based on relevant database, and comprehensive analysis draws trade company or consumption
Person is swiped the card using POS the use habit of clearing, is analyzed using sufficient data supporting, is gone to lay or promote POS, keep away
Exempt from repetition to lay POS and cause waste of resource, be also avoided that some tourist attractions, public public institution, large-scale logistics area and two
The situation that a large amount of top-tier customers are lost in is caused as POS popularity rate is not high in line urban peripheral area etc..Fully profit of the invention
With data edge, the problems such as solving POS by the analysis to a large amount of, multi-source data and lay unreasonable, it is that bank POS machine is received
Single business development provides new approaches, and then improves the market competitiveness.
A kind of system for implementing said method, including：
POS terminal：It is configured to gather POS spatial positional information and trading information data；
DBM：It is configured to set up POS reality according to collection POS spatial positional information and trading information data
When positional information storehouse be used to store the placement information of POS, and set up POS and swipe the card in real time and transaction location information bank
There is longitude and latitude positional information and consumption information when concluding the business for storing POS；
Data screening module：It is configured to before gathered data is loaded in DBM, data is carried out clearly
Wash：
(1) standardization processing is carried out to data：
By in the POS transaction data and trade company's data of trade company same alike result classification (as trade company's coding, trade date,
Dealing money etc. attribute classification) it is uniformly processed, various data forms are standardized；For example by the transaction in data
Date is disposed as date format, and transaction data is disposed as consolidation form, adds currency type symbol, etc. such as before Arabic numerals.
Make the data form of same alike result classification consistent；
(2) data after standardization processing are filtered：
Data after standardization processing will be loaded into information bank (includes that POS real-time position information storehouse and POS are brushed in real time
Card and transaction location information bank) in, before entering in information bank, the data that first will be loaded in information bank are sentenced
Disconnected, to modify, that purified treatment complies with unified standard is (i.e. advance by data form unmatched data filtering out
The data form of regulation), such as some dates are represented with text formatting, then be converted into date format；Or will be with
It is past to be corrected etc. with old trade company's coded system；Data filtering ensures that the data standard being loaded in information bank can use, and reduces
Error rate.
(3) translation of data and formatting
As the data in the data source that gathers are representing specific meanings, to need to enter which a bit with specific symbol
Row translation；For example for the expression of expenses standard, be with numerical chracter come represent fixed ratio, ratio respectively and bind the amount of money with
And collect by pen, then for the expenses standard for not meeting the representation needs to be translated；Therefore data for convenience
Loading operation, need to carry out unitized translation so as to which representation is consistent to special symbol in data.
Data Integration module：Be configured to POS distribution situation in region be drawn according to POS real-time position information storehouse, paint
Deployment scenario distribution map of the POS processed in target area (region of POS deployment analysis will be carried out to which)；
Swiped the card according to POS in real time and transaction location information bank draws POS consumption heating power situation, using Density Estimator
Method, draws target area POS consumption heating power index map；
POS distribution situation in region and POS consumption heating power situation are contrasted, is shown that POS is utilized in region
Rate；The ratio of the POS in use and total POS quantity of regional deployment is calculated, it can be deduced that the POS profit in each region
With rate.
Data association module：The correlation rule of POS demand index, data correlation mould are preset in data association module
Block is configured to obtain in region trade company's distribution situation and trade company's aggregate amount heating power situation and has laid the usage frequency of POS,
In calmodulin binding domain CaM, POS distribution situation and POS consume POS utilization rate in heating power situation and region, presetting according to area
The above-mentioned correlation rule of POS demand index in domain, calculates POS demand index in analyzed area；Data association module needs
The data message that stores from DBM of data and Data Integration module result in obtain, be brought into presetting
Process is analyzed in correlation rule, POS demand index is obtained so as to close to the statistics extension programme of POS in region
Reason adjustment.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (8)
1. a kind of statistical method for analyzing POS promoting region, it is characterised in that：Including：
Collection POS spatial positional information and trading information data, set up POS real-time position information storehouse for storing POS
Placement information, and set up POS swipe the card in real time and transaction location information bank be used for store POS occur transaction when
Longitude and latitude positional information and consumption information；
POS distribution situation in region is drawn according to POS real-time position information storehouse, position of being swiped the card according to POS in real time and concluded the business
Put information bank and draw POS consumption heating power situation；
POS distribution situation in region and POS consumption heating power situation are contrasted, POS utilization rate in region is drawn；
Obtain in region trade company's distribution situation and trade company's aggregate amount heating power situation and lay the usage frequency of POS, with reference to
In region, POS distribution situation and POS consume POS utilization rate in heating power situation and region, according to POS need in region
The correlation rule of index is sought, POS demand index in analyzed area is calculated.
2. the statistical method for analyzing POS promoting region according to claim 1, it is characterised in that：The basis
POS real-time position information storehouse show that POS distribution situation includes in region：
Based on the POS spatial positional information of POS real-time position information library storage, target area POS deployment scenario is drawn
Distribution map；
It is described swiped the card according to POS in real time and transaction location information bank draw POS consumption heating power situation include：
Swiped the card based on POS in real time and transaction location information library storage POS bankcard consumption when the real time position that produces and friendship
Easily information, and the POS spatial positional information stored in POS real-time position information storehouse, using Density Estimator method, paints
Target area POS processed consumes heating power index map.
3. the statistical method for analyzing POS promoting region according to claim 2, it is characterised in that：It is described by area
In domain, POS distribution situation and POS consumption heating power situation are contrasted, and show that POS utilization rate includes in region：
The POS that calculating is used and the ratio of total POS quantity of regional deployment, draw the POS utilization rate in region.
4. the statistical method for analyzing POS promoting region according to claim 3, it is characterised in that：The acquisition
The correlation rule of POS demand index in region, is included with calculating POS demand index in analyzed area：
According to POS deployment scenario distribution map, if the POS distribution in target area is rare, but calorimetric is assembled by the region trade company
Power index is high, then POS demand index in region is relevant with POS usage frequency；Region POS demand index and region POS
The usage frequency positive correlation of machine, is formulated as：
P～k1(U+1) (1)
In formula, P for POS demand index, U be region POS usage frequency, k1Use with POS for POS demand index
Proportionality coefficient between frequency.
5. the statistical method for analyzing POS promoting region according to claim 3, it is characterised in that：The acquisition
In region, the correlation rule of POS demand index includes：
According to POS deployment scenario distribution map, if the POS distribution in target area is rare, but the region is for POS
Utilization rate is high, if while the region trade company aggregate amount heating power index is big, region POS demand index is assembled with the region trade company
Calorimetric power index is proportionate, and is formulated as：
P～k2(D+1) (2)
In formula, P for POS demand index, D be trade company's aggregate amount heating power index, k2For POS demand index and region business
Proportionality coefficient between the aggregate amount heating power index of family.
6. the statistical method for analyzing POS promoting region according to claim 3, it is characterised in that：The acquisition
In region, the correlation rule of POS demand index includes：
If the POS utilization rate statistical value of target area and trade company's aggregate amount heating power index are all high, with what is laid in time domain
POS quantity is few, then the POS quantity that POS demand index in region has been laid with the region is formulated in negative correlation
For：
P～k3(N+1) (3)
In formula, demand indexs of the P for POS, the POS quantity that N has been laid for region, k3For POS demand index and the region
Coefficient of relationship between the POS quantity for having laid.
7. the statistical method for analyzing POS promoting region according to claim 1, it is characterised in that：The collection
POS spatial positional information and trading information data, set up POS real-time position information storehouse for store POS and lay position
Confidence cease, and set up POS swipe the card in real time and transaction location information bank be used for store POS occur transaction when longitude and latitude position
Confidence ceases and consumption information also includes：
Standardization processing is carried out to data, makes the data form of same alike result classification consistent：
Data after standardization processing are filtered, data form unmatched data are modified：
The carrying out of data is translated, by data with specific symbol representing that specific meanings data are translated so as to represent
Mode is consistent.
8. a kind of system for implementing claim 1-7 any one methods described, it is characterised in that：Including：
POS terminal：It is configured to gather POS spatial positional information and trading information data；
DBM：It is configured to set up the real-time position of POS according to collection POS spatial positional information and trading information data
Information bank is put for storing the placement information of POS, and sets up that POS is swiped the card in real time and transaction location information bank is used for
There is longitude and latitude positional information and consumption information when concluding the business in storage POS；
Data Integration module：It is configured to draw POS distribution situation in region according to POS real-time position information storehouse, according to
POS is swiped the card in real time and transaction location information bank draws POS consumption heating power situation；
POS distribution situation in region and POS consumption heating power situation are contrasted, POS utilization rate in region is drawn；
Data association module：It is configured to obtain and trade company's distribution situation and trade company's aggregate amount heating power situation and has laid in region
The usage frequency of POS, in calmodulin binding domain CaM, POS distribution situation and POS are consumed POS in heating power situation and region and are utilized
Rate, according to the correlation rule of POS demand index in region, calculates POS demand index in analyzed area.
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| CN108269087A (en) * | 2018-01-12 | 2018-07-10 | 阿里巴巴集团控股有限公司 | The processing method and processing device of location information |
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