CN106127979A - POS migration position determines method and system - Google Patents
POS migration position determines method and system Download PDFInfo
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- CN106127979A CN106127979A CN201610428652.4A CN201610428652A CN106127979A CN 106127979 A CN106127979 A CN 106127979A CN 201610428652 A CN201610428652 A CN 201610428652A CN 106127979 A CN106127979 A CN 106127979A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/12—Cash registers electronically operated
- G07G1/14—Systems including one or more distant stations co-operating with a central processing unit
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Abstract
The invention discloses a kind of POS migration position and determine method and system, S1, a cycle is divided into N number of time period;S2, the exchange hour of every transaction, mobile phone location and the error amount that obtain in the POS after i-th supposes migration time point;S3, the relative distance calculating every transaction and relative angle;S4, judge to calculate peak value based on those relative angles, if S7 can be entered, otherwise enter S5: whether i≤N, if entering S6: make i=i+1 and perform S2;S7, calculating meansigma methods;S8, judging whether those angles number of transaction in corresponding given range exceedes setting threshold value, if then entering S9, otherwise entering S5;S9, to update this POS position of location updating, updating position is at a distance of meansigma methods and be the position of peak value with its angle with POS position.The present invention can know whether POS occurs the exact position after migrating and migrating accurately.
Description
Technical field
The present invention relates to POS (point of sale information control system has cash or amount cashier's function of bartering) seat in the plane and put neck
Particularly to a kind of POS migration position, territory, determines that method and POS migration position determine system.
Background technology
Along with third party receives carrying out of single business, the separation between registered address and the use address of reality of POS is existing
As more and more obvious, the management causing POS is more and more difficult.And, the clone of present POS also engenders, further
Bring the managerial difficulty of POS.
Issuing bank does not grasp the registration location of POS, i.e. allows to obtain the help of Unionpay, the registration position of POS
Putting is exactly the most not necessarily actual operation location, causes issuing bank cannot know the position of POS accurately, it is impossible to the criminal of strick precaution
Crime molecule copy card steals the criminal behavior of brush.
And, although Unionpay grasp POS registration location, but due to third party's acquirer sell POS time
Time can't the most strictly verify the address information that buyer provides, and legal managerial setup is also due to the migration in the location of business
And cause the registered address of POS and actual address not to be inconsistent, more there is managerial setup to provide the POS service of movement, cause POS
Position inherently among constantly mobile, these determine Unionpay cannot grasp the current actual positions of POS well.
For above-mentioned reasons, even if the POS sold is thought management by third party's acquirer, also cannot accurately understand
The physical location of POS.
Summary of the invention
The technical problem to be solved in the present invention is to overcome credit card issuer of the prior art, Unionpay and selling POS
Third party's acquirer cannot grasp whether the POS swiped the card occurs the physical location after migrating and migrating exactly
Defect, it is provided that a kind of POS migration position determines method and system.
The present invention solves above-mentioned technical problem by following technical proposals:
The present invention provides a kind of POS migration position to determine method, and its feature is, it comprises the following steps:
S1, being divided into N number of time period a cycle, the starting point of each time period is as supposing migration time point, if i
=1 and N is positive integer;
When S2, the exchange hour of every transaction obtained in this POS after i-th supposition migration time point, transaction
The position of the mobile phone of user and the placement error value of this mobile phone;
S3, calculate the position of this mobile phone in every transaction relative to the POS position of this POS of storage in a data base
Relative angle, the relative distance of position and this POS position of this mobile phone;
S4, judge auto-correlation formula to be utilized to calculate a peak value θ based on those relative angles concluded the business, if can, enter
Enter step S7, otherwise enter step S5;
S5, judge whether i≤N, if then entering step S6, if otherwise terminating flow process;
S6, make i=i+1 and re-execute step S2;
S7, utilize formulaCalculating meansigma methods, wherein, 1≤j≤m, m are the total quantity of those transaction, djFor this
In a little transaction, the position of the mobile phone of jth transaction is relative to the relative distance of this POS position;
S8, judge in those transaction, whether the quantity of this relative angle transaction in corresponding given range sets more than one
Determining threshold value, if then entering step S9, otherwise entering step S5;
S9, updating this POS position in this data base of location updating with one, this renewal position is and this POS position phase
Away from this meansigma methods and with the position that angle is this peak value θ of this POS position, wherein this peak value θ is with the positive north as starting point, suitable
Clockwise obtains.
It is preferred that in step s 8, it is judged that this relative angle transaction in corresponding given range in those transaction
The ratio of quantity and this total quantity m, whether more than one first proportion threshold value, if then entering step S9, otherwise enters step S5.
It is preferred that this given range β=2*arctan (R/D), wherein, R is the placement error value of the mobile phone of this transaction,
D is this meansigma methods.
It is preferred that after step S9, for the N number of supposition migration time point in each cycle after this cycle, bag
Include:
Calculate this N number of supposition migration time point utilizes i-th suppose that the transaction after migration time point calculates is flat
Average DiMeansigma methods D that transaction after supposing migration time point with utilizing the i-th-1 calculatesi-1Value of deltai, wherein D0For
The meansigma methods that transaction after utilizing last supposition migration time point of previous cycle calculates;
The relative angle of the transaction after supposing migration time point based on i-th calculates peak value θi, based on the i-th-1 vacation
The relative angle of the transaction after determining migration time point calculates peak value θi-1, calculate angle thetaδi=θi-θi-1, wherein θ0For based on
The peak value that the relative angle of the transaction after last supposition migration time point of previous cycle calculates;
This renewal position is at a distance of this value of delta with this POS positioniAnd be this angle theta with the angle of this POS positionδi
Position.
It is preferred that judge whetherAnd whetherIf it is stable then to send a POS position
Information;
Wherein, δnCalculate for the transaction after utilizing the n-th supposition migration time point in this N number of supposition migration time point
Meansigma methods DnMeansigma methods D that transaction after supposing migration time point with utilizing (n-1)th calculatesn-1Difference, 1≤n≤
N, Ψ1For first threshold;
θδnFor relative angle based on the transaction after the n-th supposition migration time point in this N number of supposition migration time point
Difference between the peak value that the peak value calculated and relative angle based on the transaction after (n-1)th supposition migration time point calculate
Value, Ψ2For Second Threshold.
The present invention also provides for a kind of POS migration position and determines system, and its feature is, it includes that a storage has POS
The data base of POS position, stroke sub-module, an acquisition module, one first computing module, one first judge module, one
Two computing modules, one second judge module, an assignment module, one the 3rd judge module and a more new module;
This division module is for being divided into N number of time period by a cycle, and the starting point of each time period is as supposing to move
Shift time point, if i=1 and N is positive integer;
This acquisition module supposes the transaction of the every transaction in this POS after migration time point for obtaining i-th
The position of mobile phone of user and the placement error value of this mobile phone when time, transaction;
This first computing module is for calculating in every transaction the position of this mobile phone relative to the relative angle of this POS position
Degree, the position of this mobile phone and the relative distance of this POS position;
Can this first judge module for judging utilize auto-correlation formula to calculate based on those relative angles concluded the business
One peak value θ, calls this second computing module when for energy, otherwise calls this second judge module;
This second judge module is used for judging whether i≤N, calls this assignment module, otherwise terminate when for being;
This assignment module is used for making i=i+1 this acquisition module of re invocation;
This second computing module is used for utilizing formulaCalculating meansigma methods, wherein, 1≤j≤m, m are those transaction
Total quantity, djIn concluding the business for those, the position of the mobile phone of jth transaction is relative to the relative distance of this POS position;
3rd judge module is for judging this relative angle transaction in corresponding given range in those transaction
Quantity, whether more than a setting threshold value, calls this more new module, otherwise this second judge module of re invocation when for being;
This more new module is for updating this POS position in this data base of location updating with one, and this renewal position is and this
POS position is at a distance of this meansigma methods and the position that angle is this peak value θ with this POS position, and wherein this peak value θ is with positive north
Side is starting point, obtains clockwise.
It is preferred that the 3rd judge module is for judging that in those transaction, this relative angle is in corresponding given range
The quantity of transaction and the ratio of this total quantity m, whether more than one first proportion threshold value, call this more new module, otherwise when for being
This second judge module of re invocation.
It is preferred that this given range β=2*arctan (R/D), wherein, R is the placement error value of the mobile phone of this transaction,
D is this meansigma methods.
It is preferred that for the N number of supposition migration time point in each cycle after this cycle, this POS migration position
Determine that system also includes:
One difference calculating module, be used for calculating in this N number of supposition migration time point utilize i-th suppose migration time point it
After meansigma methods D that calculates of transactioniThe meansigma methods that transaction after supposing migration time point with utilizing the i-th-1 calculates
Di-1Value of deltai, wherein D0For utilize the previous cycle last to suppose that the transaction after migration time point calculates average
Value;
One differential seat angle computing module, for supposing that based on i-th the relative angle of the transaction after migration time point calculates
Go out peak value θi, the relative angle of the transaction after supposing migration time point based on the i-th-1 calculates peak value θi-1, calculate angle
θδi=θi-θi-1, wherein θ0For based on the previous cycle, last supposes that the relative angle of the transaction after migration time point calculates
The peak value gone out;
This renewal position is at a distance of this value of delta with this POS positioniAnd be this angle theta with the angle of this POS positionδi
Position.
It is preferred that this POS migration position determines that system also includes:
One the 4th judge module, is used for judging whetherAnd whetherOne is sent when for being
The information that POS position is stable;
Wherein, δnCalculate for the transaction after utilizing the n-th supposition migration time point in this N number of supposition migration time point
Meansigma methods DnMeansigma methods D that transaction after supposing migration time point with utilizing (n-1)th calculatesn-1Difference, 1≤n≤
N, Ψ1For first threshold;
θδnFor relative angle based on the transaction after the n-th supposition migration time point in this N number of supposition migration time point
Difference between the peak value that the peak value calculated and relative angle based on the transaction after (n-1)th supposition migration time point calculate
Value, Ψ2For Second Threshold.
On the basis of meeting common sense in the field, above-mentioned each optimum condition, can combination in any, obtain each preferable reality of the present invention
Example.
The most progressive effect of the present invention is:
The present invention is according to the transaction record of swiping the card in the cycle, it is possible to know accurately POS whether occur migrate and
Accurate physical location after migration such that it is able to preferably help issuing bank that the position of transaction of swiping the card is mated, more
Criminal molecule copy card steals the criminal behavior of brush well.And, it is possible to help third party's acquirer preferably to manage it
The actually used position of the POS sold, thus preferably meet regulatory requirements.
Accompanying drawing explanation
Fig. 1 is the flow chart that the POS migration position of the embodiment of the present invention 1 determines method.
Fig. 2 is the structured flowchart that the POS migration position of the embodiment of the present invention 1 determines system.
Fig. 3 is the flow chart that the POS migration position of embodiment of the present invention 1-3 determines method.
Detailed description of the invention
Provide present pre-ferred embodiments below in conjunction with the accompanying drawings, to describe technical scheme in detail, but not because of
This limits the present invention among described scope of embodiments.
Embodiment 1
As it is shown in figure 1, the present embodiment provides a kind of POS migration position to determine method, it comprises the following steps:
Step 101, being divided into N number of time period a cycle, the starting point of each time period is as supposing migration time
Point, if i=1 and N is positive integer;
Step 102, the exchange hour of every transaction obtained in this POS after i-th supposition migration time point, friendship
The position of the mobile phone of user and the placement error value of this mobile phone time easily;
Step 103, calculate the position of this mobile phone in every transaction relative to the POS of this POS of storage in a data base
The relative distance of relative angle, the position of this mobile phone and this POS position that seat in the plane is put;
Step 104, judge auto-correlation formula to be utilized to calculate a peak value θ based on those relative angles concluded the business, if
Can then enter step 107, otherwise enter step 105;
Step 105, judge whether i≤N, if then entering step 106, if otherwise entering step 110: terminate flow process;
Step 106, make i=i+1 and re-execute step 102;
Step 107, utilize formulaCalculating meansigma methods, wherein, 1≤j≤m, m are the total quantity of those transaction,
djIn concluding the business for those, the position of the mobile phone of jth transaction is relative to the relative distance of this POS position;
Step 108, judge that in those transaction, the quantity of this relative angle transaction in corresponding given range is total with this
The ratio of quantity m, whether more than one first proportion threshold value, if then showing that this POS there occurs migration, enters step 109, no
Then enter step 105;
Wherein, this given range β=2*arctan (R/D), wherein, R is the placement error value of the mobile phone of this transaction, D
For this meansigma methods;
Step 109, updating this POS position in this data base of location updating with one, this renewal position is and this POS position
Putting at a distance of this meansigma methods and the position that angle is this peak value θ with this POS position, wherein this peak value θ is with the positive north for rising
Point, obtains clockwise.
As in figure 2 it is shown, the present embodiment also provides for a kind of POS migration position determines system, it includes that a storage has POS
The data base 1 of POS position, stroke sub-module 2, acquisition module 3,1 first computing module 4,1 first judge module 5,
One second computing module 6,1 second judge module 7, assignment module 8, the 3rd judge module 9 and a more new module 10.
It is described above this POS migration position and determines the functional part that system includes, introduce each function part in detail below
The function that part is possessed:
This division module 2 is for being divided into N number of time period by a cycle, and the starting point of each time period is as supposing to move
Shift time point, if i=1 and N is positive integer;
This acquisition module 3 supposes the transaction of the every transaction in this POS after migration time point for obtaining i-th
The position of mobile phone of user and the placement error value of this mobile phone when time, transaction;
This first computing module 4 is for calculating relative relative to this POS position of the position of this mobile phone in every transaction
Angle, the position of this mobile phone and the relative distance of this POS position;
Can this first judge module 5 for judging utilize auto-correlation formula to calculate based on those relative angles concluded the business
One peak value θ, calls this second computing module 6 when for energy, otherwise calls this second judge module 7;
This second judge module 7 is used for judging whether i≤N, calls this assignment module 8, otherwise terminate when for being;
This assignment module 8 is used for making i=i+1 this acquisition module 3 of re invocation;
This second computing module 6 is used for utilizing formulaCalculating meansigma methods, wherein, 1≤j≤m, m are that those are handed over
Easy total quantity, djIn concluding the business for those, the position of the mobile phone of jth transaction is relative to the relative distance of this POS position;
3rd judge module 9 is for judging this relative angle transaction in corresponding given range in those transaction
The ratio of quantity and this total quantity m, whether more than one first proportion threshold value, calls this more new module 10, the most again when for being
Call this second judge module 7;
This more new module 10 for updating this POS position in this data base 1 of location updating with one, this renewal position be with
This POS position is at a distance of this meansigma methods and the position that angle is this peak value θ with this POS position, and wherein this peak value θ is with just
The north is starting point, obtains clockwise.
A specific example is lifted so that the present invention to be described, so that those skilled in the art can be more preferable below in conjunction with Fig. 3
Ground understands the present invention:
Assuming that this first proportion threshold value is 0.9, the cycle is daily divided, moving initially as a supposition of every day
Shift time point.Obtaining all transaction of swiping the card of a certain POS upper the first day, all trading volumes of swiping the card are 40, and every transaction is believed
Breath includes position and the placement error value of this mobile phone of the mobile phone of user when exchange hour, transaction.Calculate in this 40 transaction every
The relative distance of POS position of storage in the position of mobile phone and data base in transaction, mobile phone position relative to POS position
The relative angle put.
Relative angle based on this 40 transaction utilizes auto-correlation formula to calculate, but can not calculate these relative angles
The peak value of degree, thus, then obtains all transaction of swiping the card of this POS upper the second day, and all trading volumes of swiping the card are 100, then count
Calculate in this 100 transaction the position of mobile phone in every transaction and the relative distance of POS position of storage in data base, mobile phone
Position is relative to the relative angle of POS position.
Relative angle based on this 100 transaction utilizes auto-correlation formula to calculate a peak value, utilizes formula to calculate
Average departure distance values D=(d1+d2+…d100)/100, determine whether out that in this 100 transaction, relative angle is at corresponding given model
Enclose the quantity 95 of interior transaction, then ratio 95/100=0.95, then this ratio (0.95) is more than the first proportion threshold value (0.9),
This illustrates that this POS has occurred that migration.
Thereafter, updating this POS position in this data base of location updating with one, this renewal position is and this POS position
At a distance of this average departure distance values D and the position that angle is this peak value θ with this POS position, wherein this peak value θ is with the positive north
For starting point, obtain clockwise.
Embodiment 2
On the basis of embodiment 1, after step 109, migrate for the N number of supposition in each cycle after this cycle
Time point, including:
Calculate this N number of supposition migration time point utilizes i-th suppose that the transaction after migration time point calculates is flat
Average DiMeansigma methods D that transaction after supposing migration time point with utilizing the i-th-1 calculatesi-1Value of deltai, wherein D0For
The meansigma methods that transaction after utilizing last supposition migration time point of previous cycle calculates;
The relative angle of the transaction after supposing migration time point based on i-th calculates peak value θi, based on the i-th-1 vacation
The relative angle of the transaction after determining migration time point calculates peak value θi-1, calculate angle thetaδi=θi-θi-1, wherein θ0For based on
The peak value that the relative angle of the transaction after last supposition migration time point of previous cycle calculates;
This renewal position is at a distance of this value of delta with this POS positioniAnd be this angle theta with the angle of this POS positionδi
Position.
Example in continuation, the example in embodiment 1 has determined that second day this POS just there occurs migration, and the most true
Position after fixed this POS migration, after this, if the position of this POS there occurs variation, then needs this POS
Position is adjusted.
Specifically, the transaction utilizing the 3rd day calculates meansigma methods D3Meansigma methods D is calculated with the transaction utilizing the 3rd day2,
Calculate the difference i.e. δ of both again3=D3-D2.The relative angle of transaction based on the 3rd day calculates peak value θ3, based on second
The relative angle of it transaction calculates peak value θ2, the most again calculate angle thetaδ3=θ3-θ2.Then utilize the value of delta calculated3With
Angle thetaδ3Being adjusted the position of the 3rd day this POS, the position of the 3rd day this POS is in the position with second day this POS
Put at a distance of value of delta3And be angle theta with the angle of the position of second day this POSδ3Position.
The position of this POS was entered by the 4th day and the process that is adjusted the position of this POS afterwards with the 3rd day
The process of Row sum-equal matrix is identical, the most just repeats no more.
Embodiment 3
On the basis of embodiment 2, it may be judged whetherAnd whetherIf then sending a POS position
Put stable information;
Wherein, δnCalculate for the transaction after utilizing the n-th supposition migration time point in this N number of supposition migration time point
Meansigma methods DnMeansigma methods D that transaction after supposing migration time point with utilizing (n-1)th calculatesn-1Difference, 1≤n≤
N, Ψ1For first threshold;
θδnFor relative angle based on the transaction after the n-th supposition migration time point in this N number of supposition migration time point
Difference between the peak value that the peak value calculated and relative angle based on the transaction after (n-1)th supposition migration time point calculate
Value, Ψ2For Second Threshold.
Example in continuation, the position of the POS after migrating is adjusted every day by the example in embodiment 2, sentences in detail below
Determine whether POS certain section after migrating is in relatively steady state in POS position in continuous 5 days.
If ((δ1+δ2+δ3+δ4+δ5)/5) < Ψ1And ((θδ1+θδ2+θδ3+θδ4+θδ5)/5) < Ψ2, then illustrate at this even
In continuous 5 days, this POS position is in relatively steady state.
Although the foregoing describing the detailed description of the invention of the present invention, it will be appreciated by those of skill in the art that these
Being merely illustrative of, protection scope of the present invention is defined by the appended claims.Those skilled in the art is not carrying on the back
On the premise of the principle and essence of the present invention, these embodiments can be made various changes or modifications, but these change
Protection scope of the present invention is each fallen within amendment.
Claims (10)
1. a POS migration position determines method, it is characterised in that it comprises the following steps:
S1, being divided into N number of time period a cycle, the starting point of each time period is as supposing migration time point, if i=1
And N is positive integer;
User when S2, the exchange hour of every transaction obtained in this POS after i-th supposition migration time point, transaction
The position of mobile phone and the placement error value of this mobile phone;
S3, calculate the position of this mobile phone in every transaction relative to the phase of the POS position of this POS of storage in a data base
To angle, the position of this mobile phone and the relative distance of this POS position;
S4, judge auto-correlation formula to be utilized to calculate a peak value θ based on those relative angles concluded the business, if can, enter step
Rapid S7, otherwise enters step S5;
S5, judge whether i≤N, if then entering step S6, if otherwise terminating flow process;
S6, make i=i+1 and re-execute step S2;
S7, utilize formulaCalculating meansigma methods, wherein, 1≤j≤m, m are the total quantity of those transaction, djHand over for those
In easily, the position of the mobile phone of jth transaction is relative to the relative distance of this POS position;
S8, judge that in those transaction, whether the quantity of this relative angle transaction in corresponding given range is more than a setting threshold
Value, if then entering step S9, otherwise enters step S5;
S9, updating this POS position in this data base of location updating with one, this renewal position be at a distance of this with this POS position
Meansigma methods and the position that angle is this peak value θ with this POS position, wherein this peak value θ is with the positive north as starting point, clockwise
Direction obtains.
2. POS migration position as claimed in claim 1 determines method, it is characterised in that in step s 8, it is judged that those are handed over
In Yi, whether the quantity of this relative angle transaction in corresponding given range and the ratio of this total quantity m is more than one first ratio
Example threshold value, if then entering step S9, otherwise enters step S5.
3. POS migration position as claimed in claim 2 determines method, it is characterised in that this given range β=2*arctan
(R/D), wherein, R is the placement error value of the mobile phone of this transaction, and D is this meansigma methods.
4. POS migration position as claimed in claim 1 determines method, it is characterised in that after step S9, for this week
N number of supposition migration time point in each cycle after phase, including:
Calculate meansigma methods D that the transaction after utilizing i-th to suppose migration time point in this N number of supposition migration time point calculatesi
Meansigma methods D that transaction after supposing migration time point with utilizing the i-th-1 calculatesi-1Value of deltai, wherein D0Before utilizing
The meansigma methods that transaction after last supposition migration time point of one cycle calculates;
The relative angle of the transaction after supposing migration time point based on i-th calculates peak value θi, move based on the i-th-1 supposition
The relative angle of the transaction after shift time point calculates peak value θi-1, calculate angle thetaδi=θi-θi-1, wherein θ0For based on previous
The peak value that the relative angle of the transaction after last supposition migration time point of cycle calculates;
This renewal position is at a distance of this value of delta with this POS positioniAnd be this angle theta with the angle of this POS positionδiPosition
Put place.
5. POS migration position as claimed in claim 4 determines method, it is characterised in that judge whetherAnd be
NoIf then sending the information that a POS position is stable;
Wherein, δnFor putting down that the transaction after utilizing the n-th supposition migration time point in this N number of supposition migration time point calculates
Average DnMeansigma methods D that transaction after supposing migration time point with utilizing (n-1)th calculatesn-1Difference, 1≤n≤N, Ψ1
For first threshold;
θδnFor based on n-th, this N number of supposition migration time point supposes that the relative angle of the transaction after migration time point calculates
Difference between the peak value that the peak value gone out and relative angle based on the transaction after (n-1)th supposition migration time point calculate,
Ψ2For Second Threshold.
6. a POS migration position determines system, it is characterised in that it includes that a storage has the number of the POS position of POS
According to storehouse, stroke sub-module, an acquisition module, one first computing module, one first judge module, one second computing module, one
Two judge modules, an assignment module, one the 3rd judge module and a more new module;
This division module is for being divided into N number of time period by a cycle, and the starting point of each time period is as when supposing to migrate
Between point, if i=1 and N is positive integer;
This acquisition module suppose for obtaining i-th every transaction in this POS after migration time point exchange hour,
The position of the mobile phone of user and the placement error value of this mobile phone during transaction;
This first computing module for calculate the position of this mobile phone in every transaction relative to this POS position relative angle,
The position of this mobile phone and the relative distance of this POS position;
Can this first judge module for judging utilize auto-correlation formula to calculate a peak based on those relative angles concluded the business
Value θ, calls this second computing module when for energy, otherwise calls this second judge module;
This second judge module is used for judging whether i≤N, calls this assignment module, otherwise terminate when for being;
This assignment module is used for making i=i+1 this acquisition module of re invocation;
This second computing module is used for utilizing formulaCalculating meansigma methods, wherein, 1≤j≤m, m are the total of those transaction
Quantity, djIn concluding the business for those, the position of the mobile phone of jth transaction is relative to the relative distance of this POS position;
3rd judge module is for judging the quantity of this relative angle transaction in corresponding given range in those transaction
Whether more than a setting threshold value, when for being, call this more new module, otherwise this second judge module of re invocation;
This more new module is for updating this POS position in this data base of location updating with one, and this renewal position is and this POS
Position is at a distance of this meansigma methods and the position that angle is this peak value θ with this POS position, and wherein this peak value θ with the positive north is
Starting point, obtains clockwise.
7. POS migration position as claimed in claim 6 determines system, it is characterised in that the 3rd judge module is used for sentencing
In those transaction disconnected, whether this relative angle quantity of transaction in corresponding given range exceedes with the ratio of this total quantity m
One first proportion threshold value, calls this more new module, otherwise this second judge module of re invocation when for being.
8. POS migration position as claimed in claim 7 determines system, it is characterised in that this given range β=2*arctan
(R/D), wherein, R is the placement error value of the mobile phone of this transaction, and D is this meansigma methods.
9. POS migration position as claimed in claim 6 determines system, it is characterised in that each for after this cycle
N number of supposition migration time point in cycle, this POS migration position determines that system also includes:
One difference calculating module, utilizes i-th to suppose after migration time point for calculating in this N number of supposition migration time point
Meansigma methods D that transaction calculatesiMeansigma methods D that transaction after supposing migration time point with utilizing the i-th-1 calculatesi-1's
Value of deltai, wherein D0The meansigma methods calculated for the transaction after utilizing last supposition migration time point of previous cycle;
One differential seat angle computing module, the relative angle of the transaction after supposing migration time point based on i-th calculates peak
Value θi, the relative angle of the transaction after supposing migration time point based on the i-th-1 calculates peak value θi-1, calculate angle thetaδi=
θi-θi-1, wherein θ0Calculate for relative angle based on the transaction after last supposition migration time point of previous cycle
Peak value;
This renewal position is at a distance of this value of delta with this POS positioniAnd be this angle theta with the angle of this POS positionδiPosition
Put place.
10. POS migration position as claimed in claim 9 determines system, it is characterised in that this POS migration position determines
System also includes:
One the 4th judge module, is used for judging whetherAnd whetherA POS is sent when for being
The information that position is stable;
Wherein, δnFor putting down that the transaction after utilizing the n-th supposition migration time point in this N number of supposition migration time point calculates
Average DnMeansigma methods D that transaction after supposing migration time point with utilizing (n-1)th calculatesn-1Difference, 1≤n≤N, Ψ1
For first threshold;
θδnFor based on n-th, this N number of supposition migration time point supposes that the relative angle of the transaction after migration time point calculates
Difference between the peak value that the peak value gone out and relative angle based on the transaction after (n-1)th supposition migration time point calculate,
Ψ2For Second Threshold.
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