CN104684073A

CN104684073A - User position positioning method and user position positioning device

Info

Publication number: CN104684073A
Application number: CN201310633827.1A
Authority: CN
Inventors: 邹秋艳
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2013-11-29
Filing date: 2013-11-29
Publication date: 2015-06-03

Abstract

The invention discloses a user position positioning method and a user position positioning device. The method comprises the following steps of receiving a local user position positioning request from a user at a source end; determining position accuracy corresponding to the user at the source end; performing fuzzy processing on local user position information by use of the position accuracy so as to obtain fuzzy position information of a local user; returning the fuzzy position information to the user at the source end. According to the technical scheme provided by the invention, after the local user position positioning request from the user at the source end is received, the corresponding fuzzy position information of the local user can be calculated according to the position accuracy corresponding to the user at the source end, so that the position privacy of the local user is protected.

Description

A kind of localization method of customer location and positioner

Technical field

The present invention relates to terminal positioning field, be specifically related to the location of terminal user position, particularly relate to a kind of localization method and positioner of customer location.

Background technology

Location Based service (Location Based Service, LBS), it is the position coordinates (as geographical coordinate or geodetic coordinates) being obtained mobile phone users by the radio communication network (as GSM net, CDMA net) of the operator such as telecommunications, movement or outside locate mode (as GPS), at GIS (Geographic Information System, GIS-Geographic Information System) platform support under, for user provides a kind of value-added service of respective service.

Along with the application function of the position-based service of the mobile terminal such as smart mobile phone, panel computer becomes increasingly abundant, the location privacy protection of mobile phone users just seems especially important.Location privacy is a kind of special information privacy, refer to prevent other people from knowing by any way object is gone over, present positional information.The application software (such as micro-letter) of existing mobile terminal and the service of mobile terminal position-based, extremely limited guarded by location can only be provided, close the location of other users to it, refuse the positional information that self is provided, the positional information of oneself cannot be shared with relatives or friend; There is provided high-precision positional information, anyone can know the positional information of user, causes the location privacy of user to be revealed.Visible prior art can not meet the diversified demand of user.

Summary of the invention

In view of this, the invention provides a kind of localization method and device of customer location, the positional precision corresponding according to originating mobile subscriber can calculate the fuzz locating information of corresponding local user, to protect the location privacy of local user.

The present invention is by the following technical solutions:

A localization method for customer location, comprising:

Receive the request of the local user position, location of originating mobile subscriber;

Determine the positional precision that described originating mobile subscriber is corresponding;

Utilize described positional precision to carry out Fuzzy Processing to the positional information of local user, draw the fuzz locating information of local user;

Described fuzz locating information is returned to described originating mobile subscriber.

A positioner for customer location, comprising:

Request receiving module, for receiving the request of the local user position, location of originating mobile subscriber;

Precision determination module, for determining the positional precision that described originating mobile subscriber is corresponding;

Fuzzy Processing module, for utilizing described positional precision to carry out Fuzzy Processing to the positional information of local user, draws the fuzz locating information of local user;

Responder module, for returning described fuzz locating information to described originating mobile subscriber.

The beneficial effect implementing technique scheme of the present invention comprises: after receiving the request of the local user position, location of originating mobile subscriber, the positional precision corresponding according to originating mobile subscriber can calculate the fuzz locating information of local user.The positional precision corresponding due to different originating mobile subscriber may be different, and therefore local user can be different originating mobile subscriber and calculates corresponding fuzz locating information, to protect the location privacy of local user.

Accompanying drawing explanation

Fig. 1 is the hardware environment schematic diagram of the localization method implementing customer location of the present invention;

Fig. 2 is the realization flow figure of the localization method of customer location in first embodiment of the invention;

Fig. 3 is the realization flow figure of step 102 in first embodiment of the invention;

Fig. 4 is the realization flow figure of the localization method of customer location in second embodiment of the invention;

Fig. 5 a is the flow chart of the first preferred implementation of step 206 in second embodiment of the invention;

Fig. 5 b is the flow chart of the second preferred implementation of step 206 in second embodiment of the invention;

Fig. 5 c is the flow chart of the third preferred implementation of step 206 in second embodiment of the invention;

Fig. 6 is the realization flow figure of the localization method of customer location in third embodiment of the invention;

Fig. 7 is the flow chart of a preferred implementation of step 305 in third embodiment of the invention;

Fig. 8 is the structural representation of the positioner of customer location in fourth embodiment of the invention;

Fig. 9 is the structural representation of the positioner of customer location in fifth embodiment of the invention.

Embodiment

Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not full content.

As shown in Figure 1, Fig. 1 is the hardware environment schematic diagram of the localization method implementing customer location of the present invention.The hardware environment 001 implemented needed for localization method of the present invention need possess processor 10, transmission circuit 20, storage appts 30 and positioning unit 40.Positioning unit 40 specifically can select GPS, Beidou satellite navigation system, GLONASS satellite navigation system or GALILEO positioning system etc.

Figure 2 illustrates the first embodiment of the present invention.

Fig. 2 is the realization flow 100 of the localization method of customer location in first embodiment of the invention, and details are as follows for this realization flow 100:

In a step 101, the request of the local user position, location of originating mobile subscriber is received.

In a first embodiment, originating mobile subscriber refers to the initiation user of the request of local user position, above-mentioned location, and local user position refers to the position of the mobile terminal at local user place.In the present embodiment, the request of local user position, location is sent to server and is forwarded by server by originating mobile subscriber, and therefore above-mentioned steps 101 reality is the request of the local user position, location of the originating mobile subscriber of reception server forwarding.

In a step 102, the positional precision that described originating mobile subscriber is corresponding is determined.

In a first embodiment, the positional precision that described originating mobile subscriber is corresponding is determined in the location privacy list preset by inquiry local user.Therefore need the location privacy list arranging local user before step 102, in the present embodiment, location privacy list can be kept at this locality by document form, also can be stored in this locality by database form.

As shown in Figure 3, the realization of step 102 is carried out in particular by following sub-step:

Sub-step 1021, inquires about the location privacy list preset, and comprises the user profile in some grouping informations, each grouping and each corresponding diverse location precision information that divides into groups in described location privacy list.

Local user can according to the actual conditions setting position privacy list of oneself, and the packet count of setting is more, and the grade of corresponding positional precision is more, can provide the location-based service of more different accuracies.In a preferred implementation of the present embodiment, relatives' group, co-workers group, friend's group and default set is included in the location privacy list of local user, the positional precision that each grouping is corresponding different, wherein the user profile of default set can be sky, and corresponding positional precision provides positional information for refusing.

In a preferred implementation of the present embodiment, the location privacy list that local user B presets is as shown in table 1.

Table 1:

The positional precision (L1, L2, L3 and L0) that in the location privacy list that local user B presets, each grouping is corresponding can be set to concrete accuracy value or an accuracy rating, and positional precision (L0) corresponding to default set can be set to refusal provides positional information.The location privacy list of concrete local user B adopts document form to be kept at this locality, and file is called userB.xml, and form is as follows:

</group>

</group>

</group>

<group id=0name=' gives tacit consent to ' accuracy=' L0 '

</group>

</Location>

Wherein, wherein group represents a grouping, grouping be designated id, the name of grouping is called name, and accuracy is positional precision corresponding to each grouping, and Member represents the user profile in grouping.

After local user B receives the request of consumer positioning position of originating mobile subscriber, i.e. inquiry file userB.xml.If find described originating mobile subscriber in location privacy list, perform sub-step 1022, otherwise, perform sub-step 1023.

Sub-step 1022, finds out the grouping belonging to this originating mobile subscriber, obtains the positional precision of this grouping correspondence; If do not find described originating mobile subscriber.

Sub-step 1023, determines that this originating mobile subscriber belongs to default set, obtains the positional precision that default set is corresponding.

In a first embodiment, originating mobile subscriber only can belong to a grouping in location privacy list, namely can only determine unique positional precision of originating mobile subscriber.

In the present embodiment, first search the user profile Member in each grouping in location privacy list userB.xml, if find described originating mobile subscriber, then find the grouping belonging to it further, obtain the positional precision accuracy of this grouping correspondence; If do not find described originating mobile subscriber, determine that this originating mobile subscriber belongs to default set, obtain the positional precision that default set (id=0) is corresponding.

Such as: if originating mobile subscriber is that ' kinsfolk F2 ', then can determine to be grouped into belonging to it ' kinsfolk ', grouping id=1, obtains the positional precision accuracy=' L1 ' that id=1 grouping is corresponding;

If originating mobile subscriber is that ' user A ', then can determine to be grouped into belonging to it ' business associate ', and grouping id=2, obtains the positional precision accuracy=' L2 ' of the grouping correspondence of id=2;

If do not find described originating mobile subscriber in userB.xml, then can determine to be grouped into ' acquiescence ' grouping belonging to it, grouping id=0, obtains the positional precision accuracy=' L0 ' that the default set of id=0 is corresponding.

In step 103, utilize described positional precision to carry out Fuzzy Processing to the positional information of local user, draw the fuzz locating information of local user.Fuzzy Processing in the embodiment of the present invention refers to the process performed mathematical calculations to the positional information of local user, and fuzz locating information is for real positional information, is the positional information drawn after performing mathematical calculations based on real positional information.

The implementation of step 103 includes but not limited to following two kinds of modes in a first embodiment:

Mode one: utilize described positional precision to carry out Fuzzy Processing to the distance between local user and originating mobile subscriber, draw the fuzz locating information of local user.The positional information of the local user namely in step 103 refers to relative position information, and specifically refer to the distance between local user and originating mobile subscriber, the fuzz locating information of local user refers to the fuzzy distance information between local user and originating mobile subscriber.

Mode two: utilize described positional precision to carry out Fuzzy Processing to the position coordinates of local user, draw the fuzz locating information of local user.The positional information of the local user namely in step 103 refers to absolute location information, specifically refers to the position coordinates of local user.The fuzz locating information of local user can be the ambiguous location coordinate of local user, the fuzzy distance between the local user that also can calculate further according to the ambiguous location coordinate for local user and originating mobile subscriber.

At step 104, described fuzz locating information is returned to described originating mobile subscriber.

Described fuzz locating information is sent by the server of correspondence to described originating mobile subscriber in the present embodiment.Due to the positional information being through Fuzzy Processing that originating mobile subscriber obtains, protect the location privacy of local user.

The executive agent of step 101-104 can be the mobile terminal at local user place in a first embodiment, and such as smart mobile phone, panel computer, POS be vehicle-mounted computer etc. even.After the mobile terminal at local user place draws the fuzz locating information of local user, the server by correspondence sends described fuzz locating information to described originating mobile subscriber.

By above-mentioned first embodiment, after receiving the request of the local user position, location of originating mobile subscriber, the positional precision corresponding according to originating mobile subscriber can calculate the fuzz locating information of local user.The positional precision corresponding due to different originating mobile subscriber can be different, and therefore local user can be different originating mobile subscriber and calculates corresponding fuzz locating information, to protect the location privacy of local user.

Figure 4 illustrates the second embodiment of the present invention.Second embodiment is described in detail based on the localization method of mode a pair customer location of the first embodiment step 103.

Fig. 4 is the realization flow 200 of the localization method of customer location in second embodiment of the invention, and details are as follows for this realization flow 200:

In step 201, the location privacy list of local user is set.

In a second embodiment, the user profile in some grouping informations, each grouping and each corresponding diverse location precision information that divides into groups is comprised in described location privacy list.Local user can according to the actual conditions setting position privacy list of oneself.Described location privacy list can be kept at this locality by document form, also can be stored in this locality by database form.Such as, be provided with relatives' group, co-workers group, friend's group and default set in the location privacy list of local user, the positional precision that each grouping is corresponding different, wherein the user profile of default set can be sky.

In step 202., the request of the local user position, location of originating mobile subscriber is received.

In the preferred implementation of the second embodiment, include the location coordinate information of described originating mobile subscriber in the request of the local user position, location of described originating mobile subscriber, when namely originating mobile subscriber sends the request of local user position, location, also the position coordinates of oneself is sent to server.The position coordinates of originating mobile subscriber can be geographical coordinate or geodetic coordinates, obtains by radio communication network (GSM net, CDMA net as operator) or outside locate mode (as global position systems such as GPS, Beidou satellite navigation system, GLONASS satellite navigation system or GALILEO positioning system).

In step 203, the positional precision that described originating mobile subscriber is corresponding is determined.

Specific implementation process is identical with the step 102 of the first embodiment.

In step 204, the position coordinates of local user is obtained.

In a second embodiment, the position coordinates of the position coordinates of local user and the mobile terminal at local user place, obtain by radio communication network (GSM net, CDMA net as operator) or outside locate mode (as global position systems such as GPS, Beidou satellite navigation system, GLONASS satellite navigation system or GALILEO positioning system), in the present embodiment, position coordinates can be geographical coordinate or geodetic coordinates.

In a second embodiment, the position coordinates of local user and the position coordinates of originating mobile subscriber belong to same class coordinate.

In step 205, the distance between local user and originating mobile subscriber is calculated according to the position coordinates of originating mobile subscriber and the position coordinates of local user.

In second embodiment, the position coordinates of originating mobile subscriber can obtain from the request of the consumer positioning position received.The position coordinates of known originating mobile subscriber and the position coordinates of local user show that the distance between local user and originating mobile subscriber belongs to common practise, are not repeated herein.

It should be noted that, the execution sequence of step 203 and step 204-205 is unrestricted, and namely step 204-205 also can perform before step 203, or step 203 and step 204-205 synchronously perform.

As another execution mode of the second embodiment, if the distance between local user known itself and originating mobile subscriber, then above-mentioned steps 204-205 can omit.

In step 206, utilize described positional precision to carry out Fuzzy Processing to the distance between local user and originating mobile subscriber, draw the fuzz locating information of local user.

Below the specific implementation of step 206 in the second embodiment is specifically described.

In the location privacy list of the local user of the second embodiment, the positional precision of each grouping correspondence can be refusal provides positional information or a default accuracy value.Step 206 specific implementation can be: if described positional precision provides positional information for refusal, then show that the fuzz locating information of local user is for empty; If described positional precision is a default accuracy value, then the distance between local user and originating mobile subscriber is added this accuracy value, or the distance between local user and originating mobile subscriber is multiplied by this accuracy value, draw the fuzz locating information of local user.

As another preferred implementation of the present embodiment, the positional precision that in the location privacy list of local user, each grouping is corresponding also can be a default accuracy rating.Therefore the implementation of step 206 also can be: if described positional precision is a default accuracy rating, an accuracy value then in this accuracy rating of stochastic generation, distance between local user and originating mobile subscriber is added this accuracy value, or the distance between local user and originating mobile subscriber is multiplied by this accuracy value, draws the fuzz locating information of local user.

Below by three kinds of concrete conditions, step 206 is illustrated.

As shown in Figure 5 a, Fig. 5 a shows the idiographic flow 2061 of the first preferred implementation of step 206 in the second embodiment.In the first preferred implementation of the second embodiment, the location privacy list that local user B presets is as shown in table 2.

Table 2:

In the first preferred implementation, the location privacy list of local user B comprises kinsfolk, business associate, acquaintance and default set four grouping, wherein kinsfolk, business associate and acquaintance's three groupings are provided with some user profile, described three positional precisions corresponding respectively of dividing into groups are three numerical value being more than or equal to 0, the user profile of default set is set to sky, corresponding positional precision is set to refused, represents that refusal provides positional information.The location privacy list that during concrete enforcement, local user B presets can adopt document form to be kept at this locality, and file is called userB_1.xml, specific as follows:

</group>

</group>

</group>

<group id=0name=' gives tacit consent to ' accuracy=' refused '

</group>

</Location>

In the first preferred implementation 2061 of the second embodiment, the numerical value of positional precision is larger, larger on the impact of the distance between local user and originating mobile subscriber, the deviation of the fuzz locating information of the local user drawn and the actual position information of local user is larger, and the precision of the correspondence position service provided for originating mobile subscriber is lower; When positional precision is refused, then return empty location-based service to originating mobile subscriber.

In the first preferred implementation 2061 of the second embodiment, as follows to the specific implementation of above-mentioned steps 206:

Step 20611, does is the positional precision that originating mobile subscriber is corresponding refused? if so, step 20612 is performed, otherwise, perform step 20613.

Step 20612, show that the fuzz locating information of local user is for empty, the originating mobile subscriber namely refused as initiating Location Request provides positional information.

Step 20613, namely described positional precision be more than or equal to 0 integer, then the distance between local user and originating mobile subscriber is added this integer, draws the fuzz locating information of local user.

Such as: if originating mobile subscriber, local user are micro-credit household, originating mobile subscriber uses " neighbouring people " instrument to send request the request of location local user B positional information to server, after local user B receives this request, the location privacy list userB_1.xml that inquiry is local.

If originating mobile subscriber is ' user F1 ', being grouped into ' kinsfolk ' belonging to it can be determined, grouping id=1, corresponding positional precision accuracy=' 0 ', then the distance between local user and originating mobile subscriber is added 0, draw the fuzz locating information of local user, now, originating mobile subscriber is for ' actual position information that user F1 ' can obtain local user B is identical, and namely local user B provides high-precision location-based service for ' kinsfolk '.

If originating mobile subscriber is ' user A '; being grouped into ' business associate ' belonging to it can be determined; grouping id=2; corresponding positional precision accuracy=' 500 '; then the distance between local user and originating mobile subscriber is added 500, draw the fuzz locating information of local user, now; ' user A ' can only navigate to the ambiguous location of local user B to originating mobile subscriber, and the actual position information of local user B is protected.

If originating mobile subscriber is ' user E ', being grouped into ' acquaintance ' belonging to it can be determined, grouping id=3, corresponding positional precision accuracy=' 1000 ', then the distance between local user and originating mobile subscriber is added 1000, visible, ' user E ' locates the precision of local user B position lower than originating mobile subscriber ' user A ' to originating mobile subscriber.

If originating mobile subscriber is ' user W ', being grouped into ' acquiescence ' belonging to it can be determined, grouping id=0, corresponding positional precision accuracy=' refused ', then show that the fuzz locating information of local user B is for empty, local user B refuses to be that ' user W ' provides positional information to originating mobile subscriber, and ' user W ' cannot know the position of local user B to originating mobile subscriber.

In the first preferred implementation 2061 of the second embodiment; if local user and originating mobile subscriber are micro-credit household; because the distance between local user and originating mobile subscriber becomes farther by Fuzzy Processing; local user can not be searched by originating mobile subscriber, protect the location privacy of local user.

The idiographic flow 2062 of the second preferred implementation of the step 206 in the second embodiment is shown see Fig. 5 b, Fig. 5 b.The location privacy list of concrete local user B is as shown in table 3, and wherein positional precision is set to refused or is greater than the proportionality coefficient of 0.

Table 3:

In the present embodiment, the location privacy list of local user B comprises kinsfolk, business associate, acquaintance and default set four grouping, some user profile is provided with in three groupings of wherein kinsfolk, business associate and acquaintance, the corresponding respectively positional precisions of described three groupings be three different be more than or equal to 0 proportionality coefficient, the user profile of default set is set to sky, corresponding positional precision is set to refused, represents that refusal provides positional information.The location privacy list that during concrete enforcement, local user B presets can adopt document form to be kept at this locality, and file is called userB_2.xml, specific as follows:

</group>

</group>

</group>

<group id=0name=' gives tacit consent to ' accuracy=' refused '

</group>

</Location>

Wherein, wherein group represents a grouping, grouping be designated id, the name of grouping is called name, and accuracy is diverse location precision corresponding to each grouping, and Member represents the user profile in grouping.Now, the proportionality coefficient of accuracy is more close to 1, less on the impact of the actual position information of local user, and the fuzz locating information namely obtained is more close to actual position information, and the precision of the location-based service provided is higher.

In the second preferred implementation 2062 of the second embodiment, as follows to the specific implementation of above-mentioned steps 206:

Step 20621, does is the positional precision that originating mobile subscriber is corresponding refused? if so, step 20622 is performed, otherwise, perform step 20623.

Step 20622, show that the fuzz locating information of local user is for empty; Namely the originating mobile subscriber refused as initiating Location Request provides positional information.

Step 20623, even described positional precision be greater than 0 proportionality coefficient, then the distance between local user and originating mobile subscriber is multiplied by this proportionality coefficient, draws the fuzz locating information of local user.

Such as: if originating mobile subscriber is ' user D ', being grouped into ' business associate ' belonging to it can be determined by inquiry userB_2.xml, grouping id=2, corresponding positional precision accuracy=' 1.3 ', distance between local user and originating mobile subscriber is multiplied by 1.3, draws the fuzz locating information of local user B.This fuzz locating information is returned to the positional information of originating mobile subscriber ' user D ', visible, originating mobile subscriber ' the local user B that user D ' navigates to and fict positional information.

Positional precision accuracy be refused or be greater than 0 proportionality coefficient, facilitate user that positional precision corresponding to different grouping is intuitively set in the mode of ratio.

The idiographic flow 2063 of the third preferred implementation of the step 206 in the second embodiment is shown see Fig. 5 c, Fig. 5 c.In the 3rd preferred implementation of the second embodiment, the location privacy list of local user B can be set to as shown in table 4, wherein positional precision is set to refused or [d1, d2] numerical intervals, d1, d2 are the numerical value (being preferably greater than the integer equaling 0 in present embodiment) being more than or equal to 0.

Table 4:

In the present embodiment, the location privacy list of local user B comprises kinsfolk, business associate, acquaintance and default set four grouping, some user profile is provided with in three groupings of wherein kinsfolk, business associate and acquaintance, described three positional precisions corresponding respectively of dividing into groups are three different numerical intervals, the user profile of default set is set to sky, corresponding positional precision is set to refused, represents that refusal provides positional information.The location privacy list that during concrete enforcement, local user B presets can adopt document form to be kept at this locality, and file is called userB_3.xml, specific as follows:

</group>

</group>

</group>

<group id=0name=' gives tacit consent to ' accuracy=' refused '

</group>

</Location>

In the 3rd preferred implementation 2063 of the second embodiment, as follows to the specific implementation of above-mentioned steps 206:

Step 20631, does is the positional precision that originating mobile subscriber is corresponding refused? if so, step 20632 is performed, otherwise, perform step 20633-20634.

Step 20632, show that the fuzz locating information of local user is for empty; Namely the originating mobile subscriber refused as initiating Location Request provides positional information.

Step 20633, even described positional precision is numerical intervals, then the numerical value (being preferably the integer generated immediately in this numerical intervals in present embodiment) in stochastic generation this numerical intervals.

Step 20634, adds this numerical value by the distance between local user and originating mobile subscriber, draws the fuzz locating information of local user.

By performing step 20633-20634, can effectively prevent other people from going out the positional information of local user by the test inverse in certain distance.

Such as: if originating mobile subscriber is ' user D ', by inquiry userB_3.xml can determine its its belonging to be grouped into ' business associate ', grouping id=2, corresponding positional precision accuracy=' 300-700 ', originating mobile subscriber is ' during user D ' first time request local user position, location, numerical value in [300-700] interval of stochastic generation is 455, the distance between local user and originating mobile subscriber is added 455, draws the fuzz locating information of local user; ' when user D ' asks to locate local user position again, the numerical value in [300-700] interval of stochastic generation is 610 to originating mobile subscriber, the distance between local user and originating mobile subscriber is added 610, draws the fuzz locating information of local user.

Visible, when positional precision accuracy is a number range, even if the positional information of local user that same originating mobile subscriber obtains is not identical yet at every turn, this execution mode can effectively prevent other people from going out the positional information of local user by the test inverse in certain distance.And the numerical intervals of positional precision accuracy is wider, the effect preventing other people from going out the positional information of local user by test inverse is better.Wherein, for time ' refused ', positional precision accuracy represents that refusal provides location-based service.

It should be noted that, in a second embodiment above-mentioned three kinds of preferred implementations are not limited to the specific implementation of above-mentioned steps 206, according to concrete applicable cases, the scope that arranges of described positional precision is not limited to above-mentioned situation, namely also can obtain nearer by the range ambiguity process between local user and originating mobile subscriber.

By above-mentioned second embodiment, local user determines corresponding positional precision according to initiating the originating mobile subscriber of Location Request, and then calculates according to positional precision the location privacy that correspondence fuzzy distance information corresponding with originating mobile subscriber protects oneself.Owing to can be the positional precision that different originating mobile subscriber provides different, and then can be the location-based service that different originating mobile subscriber provides different accuracy.Such as: provide high-precision location-based service to kinsfolk or kith and kin, low precision or refusal is provided to provide location-based service to stranger or strange trade company.Facilitate user flexibility that the location privacy protection strategy of oneself is set, for mobile phone users provides a kind of new location privacy protection approach.

As shown in Figure 6, figure 6 illustrates the third embodiment of the present invention.3rd embodiment is described in detail for the localization method of mode two pairs of customer locations of step 103 in the first embodiment.

Fig. 6 is the realization flow 300 of the localization method of customer location in second embodiment of the invention, and details are as follows for this realization flow 300:

In step 301, the location privacy list of local user is set.

In the third embodiment, the related content of specific implementation situation reference second embodiment of step 301.

In step 302, the request of the local user position, location of originating mobile subscriber is received.

In the third embodiment, be with the second embodiment difference: the location coordinate information that can not include originating mobile subscriber in described request.

In step 303, the positional precision that described originating mobile subscriber is corresponding is determined.

In the third embodiment, the specific implementation situation of step 303 is with reference to the first embodiment step 102.

In step 304, the position coordinates of local user is obtained.

Specific implementation process can with reference to the step 204 of the second embodiment.

It should be noted that, the execution sequence of step 304 and step 303 is unrestricted, and namely step 304 also can perform before step 303, or step 303 and step 304 synchronously perform.

As another execution mode of the present embodiment, if local user's its position coordinates known, then above-mentioned steps 304 can be omitted.

In step 305, utilize described positional precision to carry out Fuzzy Processing to the position coordinates of local user, draw the fuzz locating information of local user.

Positional precision in the location privacy list of local user in the present embodiment can be set to refusal and provide positional information or a default accuracy value, the specific implementation of step 305 can be: if described positional precision provides positional information for refusal, then show that the fuzz locating information of local user is for empty; If described positional precision is a default accuracy value, then offset according to the position coordinates of this accuracy value to local user and obtain fuzzy position coordinates, distance between this fuzzy position coordinates and the position coordinates of local user equals this accuracy value, draws the fuzz locating information of local user.

As shown in Figure 7, below step 305 is further described.Fig. 7 shows the idiographic flow of a preferred implementation of step 305 in the 3rd embodiment.In a preferred implementation of the 3rd embodiment, positional precision value in the location privacy list of local user for refused or be more than or equal to 0 numerical value (described in be more than or equal to 0 numerical value be preferably greater than the integer equaling 0), the specific implementation of step 305 is as follows:

Step 3051, does is the positional precision that originating mobile subscriber is corresponding refused? if so, step 3052 is performed, otherwise, perform step 3053-3054.

Step 3052, show that the fuzz locating information of local user is for empty; Namely local user's refusal provides positional information to originating mobile subscriber.

Step 3053, even described positional precision be more than or equal to 0 integer, then offset according to the position coordinates of this integer to local user and obtain fuzzy position coordinates, distance between this fuzzy position coordinates and the position coordinates of local user equals this integer, and then draws the fuzz locating information of local user.

Location privacy list facilities below based on concrete local user is described in detail.Wherein positional precision is specifically set to refused or is greater than the integer of 0, and the location privacy list facilities of concrete local user B is as shown in table 5.

Table 5:

In the present embodiment, the location privacy list of local user B comprises kinsfolk, business associate, acquaintance and default set four grouping, some user profile is provided with in three groupings of wherein kinsfolk, business associate and acquaintance, the corresponding respectively positional precisions of described three groupings be more than or equal to 0 integer, the user profile of default set is set to sky, corresponding positional precision is set to refused, represents that refusal provides positional information.The location privacy list that during concrete enforcement, local user B presets can adopt document form to be kept at this locality, and file is called userB_4.xml, specific as follows:

</group>

</group>

</group>

<group id=0name=' gives tacit consent to ' accuracy=' refused '

</group>

</Location>

In the present embodiment, the numerical value of positional precision is larger, larger to the side-play amount of the position coordinates of local user, and the ambiguous location coordinate drawn is larger with the deviation of the position coordinates implementing local user; ' refused ' represents that refusal provides location-based service.

If be micro-credit household based on userB_4.xml originating mobile subscriber, local user, originating mobile subscriber uses " neighbouring people " instrument to send request the request of location local user B positional information to server, after local user B receives this request, the location privacy list userB_4.xml that inquiry is local.

If originating mobile subscriber is ' user F1 ', being grouped into ' kinsfolk ' belonging to it can be determined, grouping id=1, corresponding positional precision accuracy=' 0 ', then carry out zero offset to the position coordinates of local user, the fuzzy position coordinates now drawn is identical with the position coordinates of local user B.Namely local user B can be originating mobile subscriber ' user F1 ' provides high-precision location-based service.

If originating mobile subscriber is ' user A '; being grouped into ' business associate ' belonging to it can be determined; grouping id=2; corresponding positional precision accuracy=' 300 '; then offset according to the position coordinates of this numerical value 300 couples of local user B and obtain fuzzy position coordinates; distance between the position coordinates of this fuzzy position coordinates and local user B equals 300, if this fuzzy position coordinates is returned to originating mobile subscriber, ' user A ' protects the location privacy of local user B.

If originating mobile subscriber is ' user E ', being grouped into ' acquaintance ' belonging to it can be determined, grouping id=3, corresponding positional precision accuracy=' 800 ', then offset according to the position coordinates of this numerical value 800 couples of local user B and obtain fuzzy position coordinates, distance between the position coordinates of this fuzzy position coordinates and local user B equals 800, and visible local user B is that ' precision of the location-based service that user E ' provides is lower than originating mobile subscriber ' user A ' for originating mobile subscriber.

If originating mobile subscriber is ' user W ', being grouped into ' acquiescence ' belonging to it can be determined, grouping id=0, corresponding positional precision accuracy=' refused ', then show that fuzzy positional information is for empty, local user B refuses to be that ' user W ' provides positional information to originating mobile subscriber, and ' user W ' cannot know the position of local user B to originating mobile subscriber.

It should be noted that, fuzzy position coordinates is obtained owing to offseting according to the position coordinates of a numerical value to local user, the fuzzy position coordinates obtained is with the position coordinates of local user as the center of circle, this numerical value is the point circumferentially of radius, namely the fuzzy position coordinates obtained can be multiple situation, even if the fuzzy position coordinates therefore repeatedly calculated for same originating mobile subscriber is not identical yet, can prevent other people from extrapolating the location privacy of local user preferably.

By the 3rd embodiment, local user determines corresponding positional precision according to initiating the originating mobile subscriber of Location Request, and then calculates according to positional precision the location privacy that a corresponding fuzzy position coordinates protects oneself.Further, after drawing the ambiguous location coordinate of local user, also can calculate fuzzy distance information between local user and originating mobile subscriber according to the position coordinates of the ambiguous location coordinate of local user and originating mobile subscriber.Owing to can be the positional precision that different originating mobile subscriber provides different, and then can be the location-based service that different originating mobile subscriber provides different accuracy.Such as: provide high-precision location-based service to kinsfolk or kith and kin, low precision or refusal is provided to provide location-based service to stranger or strange trade company.Facilitate user flexibility that the location privacy protection strategy of oneself is set, for mobile phone users provides a kind of new location privacy protection approach.

It is below the embodiment of the positioner of a kind of customer location provided by the invention.Embodiment and the above-mentioned embodiment of the method for described device belong to same design, and the detail content of not detailed description in the embodiment of device can with reference to said method embodiment.

Figure 8 illustrates the fourth embodiment of the present invention.In 4th embodiment, the positioner of customer location of the present invention is described in detail.

Fig. 8 is the structural representation of the positioner of customer location in fourth embodiment of the invention.Described device comprises: request receiving module 401, precision determination module 402, Fuzzy Processing module 403 and responder module 404.

Described request receiver module 401, for receiving the request of the local user position, location of originating mobile subscriber.

In the fourth embodiment, originating mobile subscriber refers to the initiation user of described request, and local user position refers to the position of the mobile terminal at local user place.The module of request receiving described in the present embodiment 401 is actually used in the request of the local user position, location of the originating mobile subscriber that reception server forwards.

Described precision determination module 402, for determining the positional precision that described originating mobile subscriber is corresponding.

In the fourth embodiment, the positional precision that described originating mobile subscriber is corresponding is determined in the location privacy list that precision determination module 402 is preset by inquiry local user.

In the present embodiment, precision determination module 402 determines that the concrete mode of the positional precision that described originating mobile subscriber is corresponding is: inquire about the location privacy list preset, and comprises the user profile in some grouping informations, each grouping and each corresponding diverse location precision information that divides into groups in described location privacy list; If find the originating mobile subscriber of described request, find out the grouping belonging to this originating mobile subscriber, obtain the positional precision of this grouping correspondence; If do not find the originating mobile subscriber of described request, determine that this originating mobile subscriber belongs to default set, obtain the positional precision that default set is corresponding.

Described Fuzzy Processing module 403, for utilizing described positional precision to carry out Fuzzy Processing to the positional information of local user, draws the fuzz locating information of local user.

In the fourth embodiment, the working method of described Fuzzy Processing module 403 includes but not limited to the following two kinds:

The first working method: utilize described positional precision to carry out Fuzzy Processing to the distance between local user and originating mobile subscriber, draw the fuzz locating information of local user.Namely the positional information of local user is relative position information, and specifically refer to the distance between local user and originating mobile subscriber, the fuzz locating information of local user refers to the fuzzy distance information between local user and originating mobile subscriber.

Second working method is: utilize described positional precision to carry out Fuzzy Processing to the position coordinates of local user, draw the fuzz locating information of local user.Namely the positional information of local user is absolute location information, specifically refers to the position coordinates of local user.The fuzz locating information of local user can be the ambiguous location coordinate information of local user, the fuzzy distance information between the local user that also can calculate further according to the ambiguous location coordinate information for local user and originating mobile subscriber.

Described responder module 404, for returning described fuzz locating information to described originating mobile subscriber.Server by correspondence during concrete enforcement returns described fuzz locating information to originating mobile subscriber.

Figure 9 illustrates the fifth embodiment of the present invention.The positioner of 5th embodiment to customer location of the present invention further illustrates.

Fig. 9 is the structural representation of the positioner of customer location in fifth embodiment of the invention.Described device comprises: arrange module 405, request receiving module 401, precision determination module 402, Fuzzy Processing module 403 and responder module 404.

Described module 405 is set, for arranging the location privacy list of local user.Illustrating of location privacy list can refer to said method embodiment.The location privacy list set can be kept at this locality by document form, also can be stored in this locality by database form.

Described responder module 404, for sending described fuzz locating information by described server to described originating mobile subscriber.

In the 5th embodiment, the concrete condition of described request receiver module 401, precision determination module 402, Fuzzy Processing module 403 and responder module 404 can with reference to the 4th embodiment.

Concrete, in the 5th embodiment, Fuzzy Processing module 403 is when the first working method, should include the position coordinates of originating mobile subscriber in described request.Fuzzy Processing module 403 is also for utilizing before described positional precision carries out Fuzzy Processing to the distance between local user and originating mobile subscriber, obtain the position coordinates of local user, and calculate the distance between local user and originating mobile subscriber according to the position coordinates of originating mobile subscriber and the position coordinates of local user.The position coordinates obtaining local user in the present embodiment is specially: the position coordinates being obtained local user by radio communication network; Or the position coordinates of local user is obtained by global position system; Wherein, described position coordinates is geographical coordinate or geodetic coordinates.And the position coordinates of the position coordinates of local user and originating mobile subscriber belongs to the coordinate of same type.

Particularly, if described Fuzzy Processing module 403 is in the first working method in the present embodiment, the positional precision that originating mobile subscriber is corresponding can be refusal and provides positional information or a default accuracy value, then the specific works situation of Fuzzy Processing module 403 is: if described positional precision provides positional information for refusal, then show that the fuzz locating information of local user is for empty; If described positional precision is a default accuracy value, then the distance between local user and originating mobile subscriber is added this accuracy value, or the distance between local user and originating mobile subscriber is multiplied by this accuracy value, draw the fuzz locating information of local user.

As another preferred implementation of the present embodiment, the positional precision that originating mobile subscriber is corresponding also can be a default accuracy rating, then Fuzzy Processing module 403 also for: if described positional precision is an accuracy rating, an accuracy value then in this accuracy rating of stochastic generation, distance between local user and originating mobile subscriber is added this accuracy value, or the distance between local user and originating mobile subscriber is multiplied by this accuracy value, draws the fuzz locating information of local user.

Be described in detail below by three kinds of preferred implementations.

In the first preferred implementation of the 5th embodiment, Fuzzy Processing module 403 in the first working method, described positional precision value be refused or be more than or equal to 0 integer; Described Fuzzy Processing module 403, if be refused specifically for described positional precision, then show that the fuzz locating information of local user is for empty; If described positional precision be more than or equal to 0 integer, then the distance between local user and originating mobile subscriber is added this integer, draws the fuzz locating information of local user.

In the first preferred implementation of the 5th embodiment, the numerical value of positional precision is larger, larger on the impact of the distance between local user and originating mobile subscriber, the deviation of the fuzz locating information of the local user drawn and the actual position information of local user is larger, and corresponding location-based service precision is lower; Positional precision is ' refused ', then refusal provides location-based service.

In the second preferred implementation of the 5th embodiment, Fuzzy Processing module 403 in the first working method, described positional precision be refused or be greater than 0 proportionality coefficient; Described Fuzzy Processing module 403, if be 0 specifically for described positional precision, then show that the fuzz locating information of local user is for empty; If described positional precision be greater than 0 proportionality coefficient, then the distance between local user and originating mobile subscriber is multiplied by this proportionality coefficient, draws the fuzz locating information of local user.

In the second preferred implementation, the proportionality coefficient of accuracy is more close to 1, less on the impact of the actual position information of local user, and the fuzz locating information namely obtained is more close to actual position information, and the precision of corresponding location-based service is higher.

In the 3rd preferred implementation of the 5th embodiment, Fuzzy Processing module 403 is in the first working method, and described positional precision value is the numerical intervals of refused or [d1, d2], and d1, d2 are the integer being more than or equal to 0.Described Fuzzy Processing module 403, if be refused specifically for described positional precision, then show that the fuzz locating information of local user is for empty; If described positional precision is the numerical intervals of [d1, d2], then the numerical value in stochastic generation this numerical intervals, adds described numerical value by the distance between local user and originating mobile subscriber, draws the fuzz locating information of local user.

In the 3rd preferred implementation, positional precision accuracy is a number range, even if same originating mobile subscriber repeatedly asks the result of locating acquisition also not identical, this execution mode can effectively prevent other people from going out the positional information of local user by the test inverse in certain distance.And the numerical intervals of positional precision accuracy is wider, the effect preventing other people from going out the positional information of local user by test inverse is better.

It should be noted that, when Fuzzy Processing module 403 is in the first working method, the specific implementation situation of Fuzzy Processing module 403 is not limited to above-mentioned three kinds of preferred implementations.

Based on the first working method of Fuzzy Processing module 403; local user determines corresponding positional precision according to initiating the originating mobile subscriber of Location Request, and then calculates a corresponding fuzzy location privacy protecting oneself with the range information of originating mobile subscriber according to positional precision.Owing to can be the positional precision that different originating mobile subscriber provides different, and then can be the location-based service that different originating mobile subscriber provides different accuracy.Such as: provide high-precision location-based service to kinsfolk or kith and kin, low precision or refusal is provided to provide location-based service to stranger or strange trade company.Facilitate user flexibility that the location privacy protection strategy of oneself is set, for mobile phone users provides a kind of new location privacy protection approach.

In the 5th embodiment, described Fuzzy Processing module 403 also for: utilizing before described positional precision carries out Fuzzy Processing to the position coordinates of local user, obtain the position coordinates of local user.The position coordinates obtaining local user described in the present embodiment is specially: the position coordinates being obtained local user by radio communication network; Or the position coordinates of local user is obtained by global position system; Wherein, described position coordinates is geographical coordinate or geodetic coordinates.

In the 5th embodiment, Fuzzy Processing module 403 also can be operated in the second working method, the positional precision that originating mobile subscriber is corresponding can be refusal and provides positional information or a default accuracy value, now Fuzzy Processing module 403 specific works situation can be: if described positional precision provides positional information for refusal, then show that the fuzz locating information of local user is for empty; If described positional precision is a default accuracy value, then offset according to the position coordinates of this accuracy value to local user and obtain fuzzy position coordinates, distance between this fuzzy position coordinates and the position coordinates of local user equals this accuracy value, draws the fuzz locating information of local user.Be described in detail below.

In the 4th preferred implementation of the 5th embodiment, described Fuzzy Processing module 403 in the second working method, the value of the positional precision that originating mobile subscriber is corresponding be refused or be more than or equal to 0 integer.If now Fuzzy Processing module 403 is refused specifically for described positional precision, then show that the fuzz locating information of local user is for empty; If described positional precision be more than or equal to 0 integer, then offset according to the position coordinates of this integer to local user and obtain fuzzy position coordinates, distance between this fuzzy position coordinates and the position coordinates of local user equals this integer, and then draws the fuzz locating information of local user.

It should be noted that, in the 4th kind of preferred implementation of the 5th embodiment, due to several coordinate offset amounts satisfied condition can be generated according to the numerical value of a positional precision, therefore can prevent other people from extrapolating the location privacy of local user preferably.

Technical solutions according to the invention; the mobile terminal at local user place can go out corresponding fuzz locating information according to the location privacy policy calculation of local user's setting; and then the location privacy of protection local user, the diversified demand of user to location privacy protection can be met.Such as: provide high-precision location-based service to kinsfolk or kith and kin, low precision or refusal is provided to provide location-based service to stranger or strange trade company.

One of ordinary skill in the art will appreciate that all or part of content realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be read-only memory, disk or CD etc.

Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, various obvious change can be carried out for a person skilled in the art, readjust and substitute and can not protection scope of the present invention be departed from.Therefore, although be described in further detail invention has been by above embodiment, the present invention is not limited only to above embodiment, when not departing from the present invention's design, can also comprise other Equivalent embodiments more, and scope of the present invention is determined by appended right.

Claims

1. a localization method for customer location, is characterized in that, comprising:

2. the localization method of customer location according to claim 1, is characterized in that, the described positional precision determining that described originating mobile subscriber is corresponding is specially:

Inquire about the location privacy list preset, in described location privacy list, comprise the user profile in some grouping informations, each grouping and each corresponding diverse location precision information that divides into groups;

If find described originating mobile subscriber, find out the grouping belonging to this originating mobile subscriber, obtain the positional precision of this grouping correspondence;

If do not find described originating mobile subscriber, determine that this originating mobile subscriber belongs to default set, obtain the positional precision that default set is corresponding.

3. the localization method of customer location according to claim 2, is characterized in that, described determine the positional precision that described originating mobile subscriber is corresponding before, also comprise:

The location privacy list of local user is set.

4. the localization method of customer location according to claim 1, is characterized in that, the positional information of described local user refers to the distance between local user and originating mobile subscriber;

Describedly utilize described positional precision to carry out Fuzzy Processing to the positional information of local user, draw the fuzz locating information of local user, be specially:

Utilize described positional precision to carry out Fuzzy Processing to the distance between local user and originating mobile subscriber, draw the fuzz locating information of local user.

5. the localization method of customer location according to claim 1, is characterized in that, the positional information of described local user refers to the position coordinates of local user;

Utilize described positional precision to carry out Fuzzy Processing to the position coordinates of local user, draw the fuzz locating information of local user.

6. the localization method of customer location according to claim 4, is characterized in that, includes the position coordinates of described originating mobile subscriber in described request;

Describedly utilize described positional precision to carry out Fuzzy Processing to the positional information of local user, draw the fuzz locating information of local user, also comprise:

Obtain the position coordinates of local user;

The distance between local user and originating mobile subscriber is calculated according to the position coordinates of originating mobile subscriber and the position coordinates of local user.

7. the localization method of customer location according to claim 4, is characterized in that, described positional precision provides positional information or a default accuracy value for refusing;

Describedly utilize described positional precision to carry out Fuzzy Processing to the distance between local user and originating mobile subscriber, draw the fuzz locating information of local user, be specially:

If described positional precision provides positional information for refusal, then show that the fuzz locating information of local user is for empty;

If described positional precision is a default accuracy value, then the distance between local user and originating mobile subscriber is added this accuracy value, or the distance between local user and originating mobile subscriber is multiplied by this accuracy value, draw the fuzz locating information of local user.

8. the localization method of customer location according to claim 4, is characterized in that, described positional precision provides positional information or a default accuracy rating for refusing;

If described positional precision is a default accuracy rating, an accuracy value then in this accuracy rating of stochastic generation, distance between local user and originating mobile subscriber is added this accuracy value, or the distance between local user and originating mobile subscriber is multiplied by this accuracy value, draws the fuzz locating information of local user.

9. the localization method of customer location according to claim 5, is characterized in that, described positional precision provides positional information or a default accuracy value for refusing;

Describedly utilize described positional precision to carry out Fuzzy Processing to the position coordinates of local user, draw the fuzz locating information of local user, be specially:

If described positional precision is a default accuracy value, then offset according to the position coordinates of this accuracy value to local user and obtain fuzzy position coordinates, distance between this fuzzy position coordinates and the position coordinates of local user equals this accuracy value, draws the fuzz locating information of local user.

10. the localization method of customer location according to claim 5, is characterized in that, describedly utilizes described positional precision to carry out Fuzzy Processing to the positional information of local user, before drawing the fuzz locating information of local user, also comprises:

Obtain the position coordinates of local user.

The localization method of 11. customer locations according to claim 6 or 11, is characterized in that, the position coordinates of described acquisition local user is specially:

The position coordinates of local user is obtained by radio communication network; Or,

The position coordinates of local user is obtained by global position system;

Wherein, described position coordinates is geographical coordinate or geodetic coordinates.

The positioner of 12. 1 kinds of customer locations, is characterized in that, comprising:

The positioner of 13. customer locations according to claim 12, is characterized in that,

Described precision determination module, specifically for inquiring about default location privacy list, comprises the user profile in some grouping informations, each grouping and each corresponding diverse location precision information that divides into groups in described location privacy list;

If find the originating mobile subscriber of described request, find out the grouping belonging to this originating mobile subscriber, obtain the positional precision of this grouping correspondence; If do not find the originating mobile subscriber of described request, determine that this originating mobile subscriber belongs to default set, obtain the positional precision that default set is corresponding.

The positioner of 14. customer locations according to claim 13, is characterized in that, also comprise:

Module is set, for arranging the location privacy list of local user.

The positioner of 15. customer locations according to claim 12, is characterized in that, the positional information of described local user refers to the distance between local user and originating mobile subscriber;

Described Fuzzy Processing module, specifically for utilizing described positional precision to carry out Fuzzy Processing to the distance between local user and originating mobile subscriber, draws the fuzz locating information of local user.

The positioner of 16. customer locations according to claim 12, is characterized in that, the positional information of described local user refers to the position coordinates of local user;

Described Fuzzy Processing module, specifically for utilizing described positional precision to carry out Fuzzy Processing to the position coordinates of local user, draws the fuzz locating information of local user.

The positioner of 17. customer locations according to claim 15, is characterized in that, includes the position coordinates of originating mobile subscriber in described request;

Described Fuzzy Processing module, also for obtaining the position coordinates of local user, and calculates the distance between local user and originating mobile subscriber according to the position coordinates of originating mobile subscriber and the position coordinates of local user.

The positioner of 18. customer locations according to claim 15, is characterized in that, described positional precision provides positional information or a default accuracy value for refusing;

Described Fuzzy Processing module, if provide positional information specifically for described positional precision for refusal, then show that the fuzz locating information of local user is for empty; If described positional precision is a default accuracy value, then the distance between local user and originating mobile subscriber is added this accuracy value, or the distance between local user and originating mobile subscriber is multiplied by this accuracy value, draw the fuzz locating information of local user.

The positioner of 19. customer locations according to claim 15, is characterized in that, described positional precision provides positional information or a default accuracy rating for refusing;

Described Fuzzy Processing module, if provide positional information specifically for described positional precision for refusal, then show that the fuzz locating information of local user is for empty; If described positional precision is an accuracy rating, an accuracy value then in this accuracy rating of stochastic generation, distance between local user and originating mobile subscriber is added this accuracy value, or the distance between local user and originating mobile subscriber is multiplied by this accuracy value, draws the fuzz locating information of local user.

The positioner of 20. customer locations according to claim 16, is characterized in that, described positional precision value provides positional information or a default accuracy value for refusing;

Described Fuzzy Processing module, if provide positional information specifically for described positional precision for refusal, then show that the fuzz locating information of local user is for empty; If described positional precision is a default accuracy value, then offset according to the position coordinates of this accuracy value to local user and obtain fuzzy position coordinates, distance between this fuzzy position coordinates and the position coordinates of local user equals this accuracy value, draws the fuzz locating information of local user.

The positioner of 21. customer locations according to claim 16, is characterized in that,

Described Fuzzy Processing module, also for utilizing before described positional precision carries out Fuzzy Processing to the position coordinates of local user, obtains the position coordinates of local user.

The positioner of 22. customer locations according to claim 17 or 21, is characterized in that, the position coordinates of described acquisition local user is specially:

The position coordinates of local user is obtained by global position system;