CN106127979B - POS machine migration position determines method and system - Google Patents
POS machine migration position determines method and system Download PDFInfo
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- CN106127979B CN106127979B CN201610428652.4A CN201610428652A CN106127979B CN 106127979 B CN106127979 B CN 106127979B CN 201610428652 A CN201610428652 A CN 201610428652A CN 106127979 B CN106127979 B CN 106127979B
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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
Abstract
The invention discloses a kind of POS machine migration positions to determine method and system, and a cycle S1, is divided into N number of period;Exchange hour, mobile phone location and the error amount of every transaction in POS machine after i-th S2, acquisition of hypothesis transit time point;S3, the relative distance and relative angle for calculating every transaction;S4, judge that based on those relative angles peak value can be calculated, if S7 can be entered, otherwise into S5:Whether i≤N, if into S6:It enables i=i+1 and performs S2;S7, average value is calculated;S8, judge whether number of transaction of those angles in corresponding given range is more than given threshold, if then entering S9, otherwise into S5;S9, to update the location updating POS machine position, it with POS machine position at a distance of average value and with its angle is at the position of peak value that update position, which is,.The present invention can accurately know POS machine whether migrate and migrate after exact position.
Description
Technical field
The present invention relates to POS (point of sale information control system, has the function of cash or amount of bartering is received and paid out) seats in the plane to put neck
Domain, more particularly to a kind of POS machine migration position determine that method and POS machine migration position determine system.
Background technology
As third party receives the development of single business, the registered address of POS machine and showing using the separation between address for reality
As more and more apparent, the management for leading to POS machine is more and more difficult.Moreover, the clone of POS machine also gradually appears now, further
Bring the managerial difficulty of POS machine.
Issuing bank does not grasp the registration location of POS machine, that is, allows to obtain the help of Unionpay, the registration position of POS machine
It is also exactly not necessarily practical operation location to put, and causes issuing bank that can not accurately know the position of POS machine, can not the criminal of strick precaution
Guilty molecule copy card steals the criminal offence of brush.
Although moreover, Unionpay grasp POS machine registration location, due to third party's acquirer sell POS machine when
The address information that can't strictly verify very much that buyer provides is waited, legal managerial setup is also due to the migration in the location of business
And the registered address of POS machine and actual address is caused not to be inconsistent, more there is managerial setup to provide mobile POS machine service, lead to POS machine
Position be inherently constantly moving among, these determine that Unionpay can not grasp the current actual positions of POS machine well.
For these reasons, even if third party's acquirer is wanted to manage to the POS machine sold, also can not accurately understand
The physical location of POS machine.
Invention content
The technical problem to be solved by the present invention is in order to overcome credit card issuer of the prior art, Unionpay and sell POS machine
Third party's acquirer can not accurately grasp the physical location after whether the POS machine swiped the card migrates and migrate
Defect provides a kind of POS machine migration position and determines method and system.
The present invention is to solve above-mentioned technical problem by following technical proposals:
The present invention provides a kind of POS machine migration position and determines method, and feature is, includes the following steps:
S1, a cycle is divided into N number of period, the starting point of each period is as transit time point is assumed, if i
=1 and N is positive integer;
S2, obtain i-th assume transit time point after the POS machine on every transaction exchange hour, merchandise when
The position of the mobile phone of user and the placement error value of the mobile phone;
S3, the position of the mobile phone in every transaction is calculated relative to the POS machine position of the POS machine stored in a database
Relative angle, the mobile phone position and the POS machine position relative distance;
S4, judge based on those transaction relative angle can calculate a peak value θ using auto-correlation formula, if can if into
Enter step S7, otherwise enter step S5;
S5, judge whether i≤N, if then entering step S6, if otherwise terminating flow;
S6, it enables i=i+1 and re-executes step S2;
S7, formula is utilizedAverage value is calculated, wherein, the total quantity of 1≤j≤m, m for those transaction, djFor this
In a little transaction the position of the mobile phone of j-th of transaction relative to the POS machine position relative distance;
S8, judge whether the quantity of transaction of the relative angle in corresponding given range in those transaction sets more than one
Determine threshold value, if then entering step S9, otherwise enter step S5;
S9, with the POS machine position in the update location updating database, which is and the POS machine position phase
At the position for being the peak value θ away from the average value and with the angle of the POS machine position, wherein peak value θ is suitable with positive northern for starting point
Clockwise obtains.
Preferably, in step s 8, judge transaction of the relative angle in corresponding given range in those transaction
Whether the ratio of quantity and total quantity m if then enter step S9, otherwise enter step S5 more than one first proportion threshold value.
Preferably, given range β=2*arctan (R/D), wherein, R is the placement error value of the mobile phone of the transaction,
D is the average value.
Preferably, after step S9, for N number of hypothesis transit time point in each period after the period, packet
It includes:
It calculates and is put down in N number of hypothesis transit time point using what the transaction after i-th of hypothesis transit time point calculated
Mean value DiWith the average value D calculated using the transaction after (i-1)-th hypothesis transit time pointi-1Value of deltai, wherein D0For
Using previous cycle, the last one assumes the average value that calculates of transaction after transit time point;
Relative angle based on the transaction after i-th of hypothesis transit time point calculates peak value θi, based on (i-1)-th vacation
The relative angle for determining the transaction after transit time point calculates peak value θi-1, calculate angle thetaδi=θi-θi-1, wherein θ0To be based on
The peak value that the relative angle of transaction after the last one hypothesis transit time point of previous cycle calculates;
The update position is at a distance of the value of delta with the POS machine positioniAnd with the angle of the POS machine position it is the angle thetaδi
Position at.
Preferably, judge whetherAnd whetherIf then send out POS machine position stabilization
Information;
Wherein, δnIt is calculated for N number of transaction for assuming using n-th to assume after transit time point in transit time point
Average value DnWith the average value D calculated using the transaction after (n-1)th hypothesis transit time pointn-1Difference, 1≤n≤
N, Ψ1For first threshold;
θδnFor N number of relative angle assumed based on the transaction after n-th of hypothesis transit time point in transit time point
Difference between the peak value that the peak value calculated and the relative angle based on the transaction after (n-1)th hypothesis transit time point calculate
Value, Ψ2For second threshold.
The present invention also provides a kind of POS machine migration positions to determine system, and feature is, POS machine is stored with including one
The database of POS machine position, a division module, an acquisition module, one first computing module, one first judgment module, one
Two computing modules, one second judgment module, an assignment module, a third judgment module and a update module;
The division module is used to a cycle being divided into N number of period, the starting point of each period is moved as hypothesis
Shift time point, if i=1 and N are positive integer;
The transaction of every transaction of the acquisition module in the POS machine after i-th of hypothesis transit time point of acquisition
The position of mobile phone of user and the placement error value of the mobile phone when time, transaction;
First computing module is used to calculate the position of the mobile phone in every transaction relative to the relative angle of the POS machine position
The relative distance of degree, the position of the mobile phone and the POS machine position;
First judgment module is used to judge that can the relative angle based on those transaction be calculated using auto-correlation formula
One peak value θ to call second computing module during energy, otherwise calls second judgment module;
Second judgment module calls the assignment module when to be, otherwise terminates for judging whether i≤N;
The assignment module is used to enable i=i+1 and re-calls the acquisition module;
Second computing module is used to utilize formulaAverage value is calculated, wherein, 1≤j≤m, m merchandise for those
Total quantity, djFor those transaction in j-th transaction mobile phone position relative to the POS machine position relative distance;
The third judgment module is used to judge transaction of the relative angle in corresponding given range in those transaction
Whether quantity calls the update module when to be, otherwise re-calls second judgment module more than a given threshold;
The update module is used for the POS machine position in the update location updating database, the update position be and this
At the position that POS machine position is the peak value θ at a distance of the average value and with the angle of the POS machine position, wherein peak value θ is with due north
Side is starting point, is obtained clockwise.
Preferably, the third judgment module is used to judge that the relative angle to be in corresponding given range in those transaction
Whether the ratio of the quantity of transaction and total quantity m when to be call the update module, otherwise more than one first proportion threshold value
Re-call second judgment module.
Preferably, given range β=2*arctan (R/D), wherein, R is the placement error value of the mobile phone of the transaction,
D is the average value.
Preferably, for N number of hypothesis transit time point in each period after the period, the POS machine migration position
The system of determining further includes:
One difference calculating module, for calculate in N number of hypothesis transit time point using assume for i-th transit time point it
The average value D that transaction afterwards calculatesiWith the average value calculated using the transaction after (i-1)-th hypothesis transit time point
Di-1Value of deltai, wherein D0For using previous cycle, the last one assumes being averaged of calculating of transaction after transit time point
Value;
One differential seat angle computing module calculates for the relative angle based on the transaction after i-th of hypothesis transit time point
Go out peak value θi, the relative angle of transaction assumed after transit time point based on (i-1)-th calculates peak value θi-1, calculate angle
θδi=θi-θi-1, wherein θ0For based on previous cycle the last one assume transit time point after transaction relative angle calculate
The peak value gone out;
The update position is at a distance of the value of delta with the POS machine positioniAnd with the angle of the POS machine position it is the angle thetaδi
Position at.
Preferably, the POS machine migration position determines that system further includes:
One the 4th judgment module, for judging whetherAnd whetherOne is sent out when to be
The information that POS machine position is stablized;
Wherein, δnIt is calculated for N number of transaction for assuming using n-th to assume after transit time point in transit time point
Average value DnWith the average value D calculated using the transaction after (n-1)th hypothesis transit time pointn-1Difference, 1≤n≤
N, Ψ1For first threshold;
θδnFor N number of relative angle assumed based on the transaction after n-th of hypothesis transit time point in transit time point
Difference between the peak value that the peak value calculated and the relative angle based on the transaction after (n-1)th hypothesis transit time point calculate
Value, Ψ2For second threshold.
On the basis of common knowledge of the art, above-mentioned each optimum condition can be combined arbitrarily to get each preferable reality of the present invention
Example.
The positive effect of the present invention is:
The present invention according to the transaction record of swiping the card in a period, can accurately know POS machine whether occur migration and
Accurate physical location after migration, so as to which issuing bank is preferably helped to match the position for transaction of swiping the card, more
Criminal molecule copy card steals the criminal offence of brush well.Moreover, third party's acquirer can be helped preferably to manage it
The actual use position of the POS machine of sale, so as to preferably meet regulatory requirements.
Description of the drawings
Fig. 1 is that the POS machine migration position of the embodiment of the present invention 1 determines the flow chart of method.
Fig. 2 is that the POS machine migration position of the embodiment of the present invention 1 determines the structure diagram of system.
Fig. 3 is that the POS machine migration position of 1-3 of the embodiment of the present invention determines the flow chart of method.
Specific embodiment
Provide present pre-ferred embodiments below in conjunction with the accompanying drawings, with the technical solution that the present invention will be described in detail, but not because
This is limited the present invention among the embodiment described range.
Embodiment 1
As shown in Figure 1, the present embodiment provides a kind of POS machine migration positions to determine method, include the following steps:
A cycle is divided into N number of period by step 101, the starting point of each period is as hypothesis transit time
Point, if i=1 and N are positive integer;
The exchange hour of every transaction in the POS machine after i-th step 102, acquisition of hypothesis transit time point is handed over
The placement error value of the position of the mobile phone of user and mobile phone when easily;
Step 103 calculates the position of the mobile phone in every transaction relative to the POS of the POS machine stored in a database
The relative distance of relative angle, the position of the mobile phone and the POS machine position that seat in the plane is put;
Step 104 judges that can the relative angle based on those transaction calculate a peak value θ using auto-correlation formula, if
107 can be then entered step, otherwise enters step 105;
Step 105 judges whether i≤N, if then entering step 106, if otherwise entering step 110:Terminate flow;
Step 106 enables i=i+1 and re-executes step 102;
Step 107 utilizes formulaAverage value is calculated, wherein, 1≤j≤m, m are the total quantity of those transaction,
djFor those transaction in j-th transaction mobile phone position relative to the POS machine position relative distance;
Step 108, judge those transaction in transaction of the relative angle in corresponding given range quantity with this always
Whether the ratio of quantity m is more than one first proportion threshold value, if then showing that the POS machine is migrated, enters step 109, no
Then enter step 105;
Wherein, given range β=2*arctan (R/D), wherein, placement error values of the R for the mobile phone of the transaction, D
For the average value;
Step 109, with the POS machine position in the update location updating database, which is and the POS machine position
It puts at a distance of the average value and is at the position of peak value θ with the angle of the POS machine position, wherein peak value θ is with the positive north
Point obtains clockwise.
As shown in Fig. 2, the present embodiment, which also provides a kind of POS machine migration position, determines system, POS machine is stored with including one
The database 1 of POS machine position, a division module 2, an acquisition module 3, one first computing module 4, one first judgment module 5,
One second computing module 6, one second judgment module 7, an assignment module 8, a third judgment module 9 and a update module 10.
The POS machine migration position is described above and determines the functional component that system includes, lower mask body introduces each function part
The function that part has:
The division module 2 is used to a cycle being divided into N number of period, the starting point of each period is moved as hypothesis
Shift time point, if i=1 and N are positive integer;
The transaction of every transaction of the acquisition module 3 in the POS machine after i-th of hypothesis transit time point of acquisition
The position of mobile phone of user and the placement error value of the mobile phone when time, transaction;
First computing module 4 is used to calculate the position of the mobile phone in every transaction relative to the opposite of the POS machine position
The relative distance of angle, the position of the mobile phone and the POS machine position;
First judgment module 5 is used to judge that can the relative angle based on those transaction be calculated using auto-correlation formula
One peak value θ to call second computing module 6 during energy, otherwise calls second judgment module 7;
Second judgment module 7 calls the assignment module 8 when to be, otherwise terminates for judging whether i≤N;
The assignment module 8 is used to enable i=i+1 and re-calls the acquisition module 3;
Second computing module 6 is used to utilize formulaAverage value is calculated, wherein, 1≤j≤m, m are handed over for those
Easy total quantity, djFor those transaction in j-th transaction mobile phone position relative to the POS machine position relative distance;
The third judgment module 9 is used to judge transaction of the relative angle in corresponding given range in those transaction
Whether the ratio of quantity and total quantity m when to be call the update module 10, otherwise again more than one first proportion threshold value
Call second judgment module 7;
The update module 10 is used for the POS machine position in the update location updating database 1, the update position be with
At the position that the POS machine position is the peak value θ at a distance of the average value and with the angle of the POS machine position, wherein peak value θ is with just
The north is starting point, is obtained clockwise.
A specific example is lifted with reference to Fig. 3 to illustrate the present invention, so that those skilled in the art can be more preferable
Ground understands the present invention:
It is assumed that first proportion threshold value is 0.9, the period is daily divided, every day moves initially as a hypothesis
Shift time point.All transaction of swiping the card of first day in a certain POS machine are obtained, all trading volumes of swiping the card are 40, are believed per transaction
Breath includes the position of mobile phone of user and the placement error value of the mobile phone when exchange hour, transaction.It calculates every in this 40 transaction
The relative distance of POS machine position that is stored in the position of mobile phone and database in transaction, the position of mobile phone are relative to POS machine position
The relative angle put.
Relative angle based on this 40 transaction is calculated using auto-correlation formula, but can not calculate these relative angles
The peak value of degree obtains all transaction of swiping the card of second day in the POS machine again as a result, and all trading volumes of swiping the card are 100, then count
The relative distance of POS machine position that is stored in calculating in this 100 transaction per the position of mobile phone in transaction and database, mobile phone
Position relative to POS machine position relative angle.
Relative angle based on this 100 transaction calculates a peak value using auto-correlation formula, is calculated using formula
Average distance value D=(d1+d2+…d100)/100 further judge that relative angle is in corresponding given model in this 100 transaction
The quantity 95 of transaction in enclosing, then ratio 95/100=0.95, then the ratio (0.95) is more than the first proportion threshold value (0.9),
This illustrates that the POS machine has occurred that migration.
Thereafter, with the POS machine position in the update location updating database, which is and the POS machine position
It is at the position of peak value θ at a distance of the average distance value D and with the angle of the POS machine position, wherein peak value θ is with the positive north
For starting point, obtain clockwise.
Embodiment 2
On the basis of embodiment 1, after step 109, migrated for N number of hypothesis in each period after the period
Time point, including:
It calculates and is put down in N number of hypothesis transit time point using what the transaction after i-th of hypothesis transit time point calculated
Mean value DiWith the average value D calculated using the transaction after (i-1)-th hypothesis transit time pointi-1Value of deltai, wherein D0For
Using previous cycle, the last one assumes the average value that calculates of transaction after transit time point;
Relative angle based on the transaction after i-th of hypothesis transit time point calculates peak value θi, based on (i-1)-th vacation
The relative angle for determining the transaction after transit time point calculates peak value θi-1, calculate angle thetaδi=θi-θi-1, wherein θ0To be based on
The peak value that the relative angle of transaction after the last one hypothesis transit time point of previous cycle calculates;
The update position is at a distance of the value of delta with the POS machine positioniAnd with the angle of the POS machine position it is the angle thetaδi
Position at.
Continue upper example, the example in embodiment 1 has determined that second day POS machine is just migrated, and really
Position after fixed POS machine migration, after this, if the position of the POS machine is changed, needs to the POS machine
Position is adjusted.
Specifically, average value D is calculated using the transaction in third day3With calculating average value D using the transaction in third day2,
The difference i.e. δ of the two is calculated again3=D3-D2.The relative angle of transaction based on third day calculates peak value θ3, based on second
The relative angle of it transaction calculates peak value θ2, then angle theta is calculated againδ3=θ3-θ2.Then utilize the value of delta calculated3With
Angle thetaδ3The position of the third day POS machine is adjusted, the position of the third day POS machine is in the position with second day POS machine
It puts at a distance of value of delta3And with the angle of the position of second day POS machine it is angle thetaδ3Position at.
4th day and the process that is adjusted later to the position of the POS machine and third day to the position of the POS machine into
The process of row adjustment is identical, just repeats no more here.
Embodiment 3
On the basis of embodiment 2, judge whetherAnd whetherIf then send out a POS machine position
Put stable information;
Wherein, δnIt is calculated for N number of transaction for assuming using n-th to assume after transit time point in transit time point
Average value DnWith the average value D calculated using the transaction after (n-1)th hypothesis transit time pointn-1Difference, 1≤n≤
N, Ψ1For first threshold;
θδnFor N number of relative angle assumed based on the transaction after n-th of hypothesis transit time point in transit time point
Difference between the peak value that the peak value calculated and the relative angle based on the transaction after (n-1)th hypothesis transit time point calculate
Value, Ψ2For second threshold.
Continue upper example, the example in embodiment 2 is daily adjusted the position of the POS machine after migration, and lower mask body is sentenced
Determine POS machine in continuous 5 days of certain section after migrating POS machine position whether in relatively steady state.
If ((δ1+δ2+δ3+δ4+δ5)/5) < Ψ1And ((θδ1+θδ2+θδ3+θδ4+θδ5)/5) < Ψ2, then explanation is in this company
The POS machine position is in relatively steady state in 5 days continuous.
Although specific embodiments of the present invention have been described above, it will be appreciated by those of skill in the art that these
It is 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
Under the premise of from the principle and substance of the present invention, many changes and modifications may be made, but these are changed
Protection scope of the present invention is each fallen with modification.
Claims (10)
1. a kind of POS machine migration position determines method, which is characterized in that it includes the following steps:
S1, a cycle is divided into N number of period, the starting point of each period is as transit time point is assumed, if i=1
And N is positive integer, i represents i-th of period;
S2, obtain i-th assume transit time point after the POS machine on every transaction exchange hour, merchandise when user
Mobile phone position and the mobile phone placement error value;
S3, the position of the mobile phone in every transaction is calculated relative to the phase of the POS machine position of the POS machine stored in a database
To the relative distance of the position and the POS machine position of angle, the mobile phone;
S4, judge based on those transaction relative angle can calculate a peak value θ using auto-correlation formula, if can if enter walk
Rapid S7, otherwise enters step S5;
S5, judge whether i≤N, if then entering step S6, if otherwise terminating flow;
S6, it enables i=i+1 and re-executes step S2;
S7, formula is utilizedAverage value is calculated, wherein, the total quantity of 1≤j≤m, m for those transaction, djFor those friendships
Easily in j-th transaction mobile phone position relative to the POS machine position relative distance;
S8, judge the quantity of transaction of the relative angle in corresponding given range in those transaction whether more than a setting threshold
Value, if then entering step S9, otherwise enters step S5;
S9, with the POS machine position in the update location updating database, which is at a distance of should with the POS machine position
Average value and with the angle of the POS machine position be at the position of peak value θ, wherein peak value θ with the positive north for starting point, clockwise
Direction obtains.
2. POS machine migration position as described in claim 1 determines method, which is characterized in that in step s 8, judges those friendships
Whether the ratio of the quantity of transaction of the relative angle in corresponding given range and total quantity m are more than one first ratio in easily
Example threshold value, if then entering step S9, otherwise enters step S5.
3. POS machine migration position as claimed in claim 2 determines method, which is characterized in that given range β=2*arctan
(R/D), wherein, R is the placement error value of the mobile phone of the transaction, and D is the average value.
4. POS machine migration position as described in claim 1 determines method, which is characterized in that after step S9, for this week
N number of hypothesis transit time point in each period after phase, including:
Calculate N number of average value D for assuming to calculate using the transaction after i-th of hypothesis transit time point in transit time pointi
With the average value D calculated using the transaction after (i-1)-th hypothesis transit time pointi-1Value of deltai, wherein D0Before utilization
The average value that transaction after the last one hypothesis transit time point of one period calculates;
Relative angle based on the transaction after i-th of hypothesis transit time point calculates peak value θi, moved based on (i-1)-th hypothesis
The relative angle of transaction after shift time point calculates peak value θi-1, calculate angle thetaδi=θi-θi-1, wherein θ0It is previous to be based on
The peak value that the relative angle of transaction after the last one hypothesis transit time point of period calculates;
The update position is at a distance of the value of delta with the POS machine positioniAnd with the angle of the POS machine position it is the angle thetaδiPosition
Put place.
5. POS machine migration position as claimed in claim 4 determines method, which is characterized in that judges whetherAnd it is
It is noIf then send out the information of POS machine position stabilization;
Wherein, δnIt is flat to be calculated in N number of hypothesis transit time point using the transaction after n-th of hypothesis transit time point
Mean value DnWith the average value D calculated using the transaction after (n-1)th hypothesis transit time pointn-1Difference, 1≤n≤N, Ψ1
For first threshold, s represents s hypothesis transit time point;
θδnIt is calculated for N number of relative angle assumed based on the transaction after n-th of hypothesis transit time point in transit time point
Difference between the peak value that the peak value gone out and the relative angle based on the transaction after (n-1)th hypothesis transit time point calculate,
Ψ2For second threshold.
6. a kind of POS machine migration position determines system, which is characterized in that it includes the number of a POS machine position for being stored with POS machine
According to library, a division module, an acquisition module, one first computing module, one first judgment module, one second computing module, one
Two judgment modules, an assignment module, a third judgment module and a update module;
The division module is used to a cycle being divided into N number of period, when the starting point of each period is as migration is assumed
Between point, if i=1 and N are positive integer, i represents i-th of period;
The exchange hour of every transaction of the acquisition module in the POS machine after i-th of hypothesis transit time point of acquisition,
The placement error value of the position of the mobile phone of user and mobile phone during transaction;
First computing module be used to calculating the position of the mobile phone in every transaction relative to the relative angle of the POS machine position,
The relative distance of the position of the mobile phone and the POS machine position;
First judgment module is used to judge that can the relative angle based on those transaction calculate a peak using auto-correlation formula
Value θ to call second computing module during energy, otherwise calls second judgment module;
Second judgment module calls the assignment module when to be, otherwise terminates for judging whether i≤N;
The assignment module is used to enable i=i+1 and re-calls the acquisition module;
Second computing module is used to utilize formulaAverage value is calculated, wherein, 1≤j≤m, m are the total of those transaction
Quantity, djFor those transaction in j-th transaction mobile phone position relative to the POS machine position relative distance;
The third judgment module is used to judge the quantity of transaction of the relative angle in corresponding given range in those transaction
Whether more than a given threshold, the update module is called when to be, otherwise re-calls second judgment module;
The update module is used for the POS machine position in the update location updating database, which is and the POS machine
At the position that position is the peak value θ at a distance of the average value and with the angle of the POS machine position, wherein peak value θ using the positive north as
Starting point obtains clockwise.
7. POS machine migration position as claimed in claim 6 determines system, which is characterized in that the third judgment module is used to sentence
Break quantity and the total quantity m of transaction of the relative angle in corresponding given range in those transaction ratio whether be more than
One first proportion threshold value, calls the update module when to be, otherwise re-calls second judgment module.
8. POS machine migration position as claimed in claim 7 determines system, which is characterized in that given range β=2*arctan
(R/D), wherein, R is the placement error value of the mobile phone of the transaction, and D is the average value.
9. POS machine migration position as claimed in claim 6 determines system, which is characterized in that for each after the period
N number of hypothesis transit time point in period, the POS machine migration position determine that system further includes:
One difference calculating module, for calculate this it is N number of hypothesis transit time point in using i-th assume transit time point after
Merchandise the average value D calculatediWith the average value D calculated using the transaction after (i-1)-th hypothesis transit time pointi-1's
Value of deltai, wherein D0For using previous cycle, the last one assumes the average value that calculates of transaction after transit time point;
One differential seat angle computing module calculates appearance for the relative angle based on the transaction after i-th of hypothesis transit time point
Value θi, the relative angle of transaction assumed after transit time point based on (i-1)-th calculates peak value θi-1, calculate angle thetaδi=
θi-θi-1, wherein θ0For based on previous cycle, the last one assumes that the relative angle of the transaction after transit time point calculates
Peak value;
The update position is at a distance of the value of delta with the POS machine positioniAnd with the angle of the POS machine position it is the angle thetaδiPosition
Put place.
10. POS machine migration position as claimed in claim 9 determines system, which is characterized in that the POS machine migration position determines
System further includes:
One the 4th judgment module, for judging whetherAnd whetherA POS machine is sent out when to be
The information that position is stablized;
Wherein, δnIt is flat to be calculated in N number of hypothesis transit time point using the transaction after n-th of hypothesis transit time point
Mean value DnWith the average value D calculated using the transaction after (n-1)th hypothesis transit time pointn-1Difference, 1≤n≤N, Ψ1
For first threshold, s represents s hypothesis transit time point;
θδnIt is calculated for N number of relative angle assumed based on the transaction after n-th of hypothesis transit time point in transit time point
Difference between the peak value that the peak value gone out and the relative angle based on the transaction after (n-1)th hypothesis transit time point calculate,
Ψ2For second threshold.
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CN102486884B (en) * | 2010-12-01 | 2014-05-07 | 深圳市新国都技术股份有限公司 | Point-of-sale (POS) machine with use region limitation function and method thereof |
CN102750790A (en) * | 2012-06-27 | 2012-10-24 | 福建联迪商用设备有限公司 | Wireless POS (point of sale) location monitoring method |
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CN103700192B (en) * | 2012-09-27 | 2016-05-18 | 中国银联股份有限公司 | The telephone-moving monitoring system of Mobile POS Terminal and the telephone-moving method for supervising of Mobile POS Terminal |
CN103218885A (en) * | 2013-03-12 | 2013-07-24 | 惠尔丰(中国)信息系统有限公司 | Financial POS machine moving prevention risk management method |
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