CN106202471A - Business hall candidate point screening technique and system - Google Patents
Business hall candidate point screening technique and system Download PDFInfo
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- CN106202471A CN106202471A CN201610564689.XA CN201610564689A CN106202471A CN 106202471 A CN106202471 A CN 106202471A CN 201610564689 A CN201610564689 A CN 201610564689A CN 106202471 A CN106202471 A CN 106202471A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
Abstract
The invention discloses a kind of business hall candidate point screening technique and system, including: electronic chart shows the distribution of each business hall and user；Calculate the optimal service scope of each business hall respectively；Filter out the user in the range of the optimal service not falling within arbitrary business hall；Scanning area obtains multiple scanning elements；Identify the targeted customer to be serviced in the optimal service radius of each scanning element respectively；Calculate the quantity of impact point to be serviced in the optimal service radius of each scanning element as its temperature；Ranking exceedes the scanning element of setting threshold value as candidate's focus；Multiple hot spot region is extracted from those candidate's focuses；Filter out the hot spot region of maximum；The shortest focus of the focus, center of gravity and the targeted customer's average distance to be serviced that select targeted customer to be serviced most is respectively as first and second and three business hall candidate points；From the candidate point of these three business hall, select optimal business hall candidate point and show optimal business hall candidate point, it is achieved filtering out the position candidate of newly-built business hall.
Description
Technical field
The present invention relates to the addressing of the business hall of business hall such as mobile operator, particularly to a kind of business hall candidate point
Screening technique and business hall candidate point screening system.
Background technology
Business hall is that operator carries out the core infrastructures sold with service business.The quality of business place choice, not only
The operation cost of operator can be affected, the most also can affect operator in the in the eyes of impression of client, affect the service of operator
Quality.Therefore, excellent business place choice is one of key job improving operator's profitability and service quality.
At present, a region is both provided with greatly multiple business hall, and each business hall covers a range of service, but existing
It is that this region also has subregion not covered by the service area of the arbitrary business hall in this region, if causing user to think in fact
Going business hall transacting business very inconvenient, therefore, the layout how improving the business hall in this region is perfect service quality
Key issue.
Summary of the invention
The technical problem to be solved in the present invention is to overcome the most incomplete defect of the layout of business hall in prior art,
A kind of business hall candidate point screening technique and system are provided.
The present invention solves above-mentioned technical problem by following technical proposals:
The present invention provides a kind of business hall candidate point screening technique, and its feature is, is provided with multiple in setting a region
Being positioned at the business hall of various location, in a data base, storage has the address corresponding with this user of the user in this region or work
Place, this business hall candidate point screening technique comprises the following steps:
Show on S1, an electronic chart distribution of each business hall and the address of user in this region or job site point
Cloth；
S2, with each business hall as the center of circle, an optimal service distance calculate the optimal of each business hall respectively for radius
Service area；
S3, address or job site according to this district's intra domain user filter out the arbitrary business not falling within those business halls
User in the range of the optimal service in the Room is as potential user group to be serviced；
S4, with one set this region of step scan to obtain multiple scanning elements；
S5, with each scanning element as the center of circle, this optimal service distance identify the optimal of each scanning element respectively for radius
Targeted customer to be serviced in service radius；
S6, the impact point to be serviced calculated in the optimal service radius of each scanning element quantity as each scanning element
Temperature；
S7, being ranked up the temperature of those scanning elements according to the order that numerical value is descending, ranking first sets more than 1
Determine the scanning element of threshold value as candidate's focus；
S8, utilize clustering algorithm to extract multiple hot spot region from those candidate's focuses, and each candidate's focus is returned
And in respective hot spot region；
S9, from those hot spot regions, filter out the hot spot region of maximum as maximum hot spot region；
S10, select focus that in this maximum hot spot region, targeted customer to be serviced is most as the first business hall candidate point,
Select the center of gravity of this maximum hot spot region as the second business hall candidate point, select all mesh to be serviced in this maximum hot spot region
Mark the shortest focus of user's average distance as the 3rd business hall candidate point；
S11, utilize method of exhaustion from this first business hall candidate point, this second business hall candidate point and the 3rd business hall wait
Reconnaissance is selected an optimal business hall candidate point；
S12, on this electronic chart, show this optimal business hall candidate point.
It is preferred that after step s 12, it is judged that whether the user coverage rate in this region reaches one second setting threshold value, if
Being to terminate flow process, if otherwise re-executing step S2 to S12, only step S2 being: with each business hall and each optimal battalion
Industry Room candidate point is the optimal service scope that the center of circle, this optimal service distance calculate each business hall respectively for radius；Step
S3 is: filter out the user in the range of the optimal service not falling within arbitrary business hall and optimal business hall candidate point as to be serviced
Potential user group；
Wherein, user's summation that user coverage rate is covered by those business halls in this region and optimal business hall candidate point
And the ratio between all users in this region.
The present invention also provides for a kind of business hall candidate point screening system, and its feature is, is provided with many in setting a region
The individual business hall being positioned at various location, this business hall candidate point screening system includes a data base, and in this data base, storage has
Address that user in this region is corresponding with this user or job site；
One display module, for showing distribution and the address of user of each business hall in this region on an electronic chart
Or the distribution of job site；
One first computing module, for each business hall as the center of circle, an optimal service distance calculates respectively for radius
The optimal service scope of each business hall；
One first screening module, filters out for the address according to this district's intra domain user or job site and does not falls within those battalion
User in the range of the optimal service of the arbitrary business hall in the industry Room is as potential user group to be serviced；
One scan module, for setting this region of step scan to obtain multiple scanning elements with one；
One first identification module, for each scanning element as the center of circle, this optimal service distance identifies respectively for radius
Targeted customer to be serviced in the optimal service radius of each scanning element；
One second computing module, the quantity of the impact point to be serviced in the optimal service radius calculating each scanning element
Temperature as each scanning element；
One order module, for the temperature of those scanning elements being ranked up according to the order that numerical value is descending, ranking
The scanning element of threshold value is set as candidate's focus more than one first；
One second identification module, is used for utilizing clustering algorithm to extract multiple hot spot region from those candidate's focuses, and
Each candidate's focus is integrated in respective hot spot region；
One second screening module, for filtering out the hot spot region of maximum as maximum hot zone from those hot spot regions
Territory；
One first selects module, for selecting focus that in this maximum hot spot region, targeted customer to be serviced is most as the
One business hall candidate point, selects the center of gravity of this maximum hot spot region as the second business hall candidate point, selects this maximum hot zone
The focus that in territory, all targeted customer's average distances to be serviced are the shortest is as the 3rd business hall candidate point；
One second selects module, is used for utilizing method of exhaustion from this first business hall candidate point, this second business hall candidate point
With the 3rd business hall candidate point is selected an optimal business hall candidate point；
This display module is for showing this optimal business hall candidate point on this electronic chart.
It is preferred that this business hall candidate point screening system also includes a judge module, this judge module is used for judging this district
Whether the user coverage rate in territory reaches one second setting threshold value, if then terminating, if calling this first calculating the most successively
Module, this first screening module, this scan module, this first identification module, this second computing module, this order module, this
Two identification modules, this second screening module, this first selection module, this second selection module and this display module；
Wherein, this first computing module for each business hall and each optimal business hall candidate point as the center of circle, should
Optimal service distance calculates the optimal service scope of each business hall respectively for radius；This first screening module is used for filtering out
Do not fall within the user in the range of the optimal service of arbitrary business hall and optimal business hall candidate point as potential user group to be serviced；
Wherein, user's summation that user coverage rate is covered by those business halls in this region and optimal business hall candidate point
And the ratio between all users in this region.
On the basis of meeting common sense in the field, above-mentioned each optimum condition, can combination in any, obtain each preferable reality of the present invention
Example.
The most progressive effect of the present invention is:
The present invention, according to the distribution of business hall and service condition, sets up business hall targeted customer and identifies model, and then rely on
The geographical distribution of targeted customer, automatically scanning targeted customer is intensive but the place that not yet has business hall effectively to cover service, and then
Filter out the position candidate of newly-built business hall.
Accompanying drawing explanation
Fig. 1 is the flow chart of the business hall candidate point screening technique of present pre-ferred embodiments.
Fig. 2 is the structured flowchart of the business hall candidate point screening system of present pre-ferred embodiments.
Detailed description of the invention
Provide present pre-ferred embodiments below in conjunction with the accompanying drawings, to describe technical scheme in detail, but not because of
This limits the present invention among described scope of embodiments.
As it is shown in figure 1, the present embodiment provides a kind of business hall candidate point screening technique, it is provided with multiple in setting a region
Being positioned at the business hall of various location, in a data base, storage has the address corresponding with this user of the user in this region or work
Place, this business hall candidate point screening technique comprises the following steps:
The distribution of each business hall and the address of user or place of working in this region is shown on step 101, an electronic chart
The distribution of point；
Step 102, with each business hall as the center of circle, one optimal service distance (such as 500 meters) be that radius calculates respectively
The optimal service scope of each business hall；
Step 103, filter out according to the address of this district's intra domain user or job site and do not fall within appointing in those business halls
User in the range of the optimal service of one business hall is as potential user group to be serviced；
Step 104, with one set step-length (such as 50 meters) scan this region to obtain multiple scanning elements；
Step 105, with each scanning element as the center of circle, this optimal service distance identify each scanning element respectively for radius
Targeted customer to be serviced in optimal service radius；
Step 106, the quantity of the impact point to be serviced calculated in the optimal service radius of each scanning element are swept as each
The temperature of described point；
Step 107, being ranked up the temperature of those scanning elements according to the order that numerical value is descending, ranking is more than 1
The scanning element of one setting threshold value is as candidate's focus, such as using the scanning element of 20% before ranking as candidate's focus；
Step 108, clustering algorithm is utilized to extract multiple hot spot region from those candidate's focuses, and by each candidate heat
Point is integrated in respective hot spot region；
Step 109, from those hot spot regions, filter out the hot spot region of maximum as maximum hot spot region；
Step 110, the focus that in this maximum hot spot region, targeted customer to be serviced is most is selected to wait as the first business hall
Reconnaissance, selects the center of gravity of this maximum hot spot region as the second business hall candidate point, selects to be needed in this maximum hot spot region
The shortest focus of service goal user's average distance is as the 3rd business hall candidate point；
Step 111, utilize method of exhaustion from this first business hall candidate point, this second business hall candidate point and the 3rd business
Room candidate point is selected an optimal business hall candidate point；
Step 112, on this electronic chart, show this optimal business hall candidate point；
Step 113, judge the user coverage rate in this region whether reach one second setting threshold value (such as 90%), if then
Terminating flow process, if otherwise re-executing step 102 to 112, only step 102 is: with each business hall and each optimal business
Room candidate point is the optimal service scope that the center of circle, this optimal service distance calculate each business hall respectively for radius；Step 103
For: filter out the user in the range of the optimal service not falling within arbitrary business hall and optimal business hall candidate point as mesh to be serviced
Mark customer group.
Wherein, user's summation that user coverage rate is covered by those business halls in this region and optimal business hall candidate point
And the ratio between all users in this region.
As in figure 2 it is shown, the present embodiment also provides for a kind of business hall candidate point screening system, it is provided with many in setting a region
The individual business hall being positioned at various location, this business hall candidate point screening system includes a data base 1, and in this data base, storage has
Address that user in this region is corresponding with this user or job site.
This business hall candidate point screening system also includes display module 2,1 first computing module 3, a 1 first screening mould
Block 4, one scan module 5,1 first identification module 6,1 second computing module 7, order module 8,1 second identification module 9,
One second screening module 10,1 first selects module 11,1 second to select module 12 and a judge module 13.
It is described above the functional module that this business hall candidate point screening system includes, introduces each functional module in detail below
The function possessed:
The distribution of this display module 2 each business hall within showing this region on an electronic chart and the address of user
Or the distribution of job site；
This first computing module 3 is used for each business hall as the center of circle, an optimal service distance calculates respectively for radius
The optimal service scope of each business hall；
This first screening module 4 is used for the address according to this district's intra domain user or job site and filters out and do not fall within those battalion
User in the range of the optimal service of the arbitrary business hall in the industry Room is as potential user group to be serviced；
This scan module 5 is for setting this region of step scan to obtain multiple scanning elements with one；
This first identification module 6 is used for each scanning element as the center of circle, this optimal service distance identifies respectively for radius
Targeted customer to be serviced in the optimal service radius of each scanning element；
The quantity of this second computing module 7 impact point to be serviced in the optimal service radius calculating each scanning element
Temperature as each scanning element；
This order module 8 is used for being ranked up the temperature of those scanning elements according to the order that numerical value is descending, ranking
The scanning element of threshold value is set as candidate's focus more than one first；
This second identification module 9 is used for utilizing clustering algorithm to extract multiple hot spot region from those candidate's focuses, and
Each candidate's focus is integrated in respective hot spot region；
This second screening module 10 is for filtering out the hot spot region of maximum as maximum focus from those hot spot regions
Region；
This first selection module 11 is for selecting the focus conduct that in this maximum hot spot region, targeted customer to be serviced is most
First business hall candidate point, selects the center of gravity of this maximum hot spot region as the second business hall candidate point, selects this maximum focus
The focus that in region, all targeted customer's average distances to be serviced are the shortest is as the 3rd business hall candidate point；
This second selection module 12 is used for utilizing method of exhaustion from this first business hall candidate point, this second business hall candidate point
With the 3rd business hall candidate point is selected an optimal business hall candidate point；
This display module 2 is for showing this optimal business hall candidate point on this electronic chart.
This judge module 13 is for judging whether the user coverage rate in this region reaches one second setting threshold value, if then tying
Bundle, if calling this first computing module 3, this first screening module 4, this scan module 5, this first identification mould the most successively
Block 6, this second computing module 7, this order module 8, this second identification module 9, this second screening module 10, this first selection mould
Block 11, this second selection module 12 and this display module 2.
Wherein, this first computing module 3 for each business hall and each optimal business hall candidate point as the center of circle, should
Optimal service distance calculates the optimal service scope of each business hall respectively for radius；This first screening module 4 is used for screening
Go out not fall within the user in the range of the optimal service of arbitrary business hall and optimal business hall candidate point as targeted customer to be serviced
Group；
Although the foregoing describing the detailed description of the invention of the present invention, it will be appreciated by those of skill in the art that these
Being merely illustrative of, protection scope of the present invention is defined by the appended claims.Those skilled in the art is not carrying on the back
On the premise of the principle and essence of the present invention, these embodiments can be made various changes or modifications, but these change
Protection scope of the present invention is each fallen within amendment.
Claims (4)
1. a business hall candidate point screening technique, it is characterised in that be provided with in setting a region and multiple be positioned at diverse location
The business hall at place, in a data base, storage has the address corresponding with this user of the user in this region or job site, this business
Room candidate point screening technique comprises the following steps:
The distribution of each business hall and the address of user or the distribution of job site in this region is shown on S1, an electronic chart；
S2, with each business hall as the center of circle, an optimal service distance calculate the optimal service of each business hall respectively for radius
Scope；
S3, address or job site according to this district's intra domain user filter out the arbitrary business hall not fallen within those business halls
User in the range of optimal service is as potential user group to be serviced；
S4, with one set this region of step scan to obtain multiple scanning elements；
S5, with each scanning element as the center of circle, this optimal service distance identify the optimal service of each scanning element respectively for radius
Targeted customer to be serviced in radius；
S6, the impact point to be serviced calculated in the optimal service radius of each scanning element quantity as the heat of each scanning element
Degree；
S7, being ranked up the temperature of those scanning elements according to the order that numerical value is descending, ranking sets threshold more than one first
The scanning element of value is as candidate's focus；
S8, utilize clustering algorithm to extract multiple hot spot region from those candidate's focuses, and each candidate's focus is integrated into
In respective hot spot region；
S9, from those hot spot regions, filter out the hot spot region of maximum as maximum hot spot region；
S10, select focus that in this maximum hot spot region, targeted customer to be serviced is most as the first business hall candidate point, select
The center of gravity of this maximum hot spot region, as the second business hall candidate point, selects all targets to be serviced in this maximum hot spot region to use
Average distance the shortest focus in family is as the 3rd business hall candidate point；
S11, utilize method of exhaustion from this first business hall candidate point, this second business hall candidate point and the 3rd business hall candidate point
In select an optimal business hall candidate point；
S12, on this electronic chart, show this optimal business hall candidate point.
2. business hall as claimed in claim 1 candidate point screening technique, it is characterised in that after step s 12, it is judged that this district
Whether the user coverage rate in territory reaches one second setting threshold value, if then terminating flow process, if otherwise re-executing step S2 extremely
S12, only step S2 be: with each business hall and each optimal business hall candidate point as the center of circle, this optimal service distance be half
Footpath calculates the optimal service scope of each business hall respectively；Step S3 is: filters out and does not falls within arbitrary business hall and optimal battalion
User in the range of the optimal service of industry Room candidate point is as potential user group to be serviced；
Wherein, user's summation that user coverage rate is covered by those business halls in this region and optimal business hall candidate point with should
The ratio between all users in region.
3. a business hall candidate point screening system, it is characterised in that be provided with in setting a region and multiple be positioned at diverse location
The business hall at place, this business hall candidate point screening system includes a data base, the user in storage has this region in this data base
The address corresponding with this user or job site；
One display module, for showing the distribution of each business hall and the address of user or work in this region on an electronic chart
Make the distribution in place；
One first computing module, for each business hall as the center of circle, an optimal service distance calculate each respectively for radius
The optimal service scope of business hall；
One first screening module, for filtering out do not fall within those business halls according to address or the job site of this district's intra domain user
In arbitrary business hall optimal service in the range of user as potential user group to be serviced；
One scan module, for setting this region of step scan to obtain multiple scanning elements with one；
One first identification module, for each scanning element as the center of circle, this optimal service distance identify each respectively for radius
Targeted customer to be serviced in the optimal service radius of scanning element；
One second computing module, the quantity conduct of the impact point to be serviced in the optimal service radius calculating each scanning element
The temperature of each scanning element；
One order module, for being ranked up the temperature of those scanning elements according to the order that numerical value is descending, ranking exceedes
One first sets the scanning element of threshold value as candidate's focus；
One second identification module, is used for utilizing clustering algorithm to extract multiple hot spot region from those candidate's focuses, and will be every
Individual candidate's focus is integrated in respective hot spot region；
One second screening module, for filtering out the hot spot region of maximum as maximum hot spot region from those hot spot regions；
One first selects module, for selecting the focus that in this maximum hot spot region, targeted customer to be serviced is most to seek as first
Industry Room candidate point, selects the center of gravity of this maximum hot spot region as the second business hall candidate point, selects in this maximum hot spot region
The shortest focus of all targeted customer's average distances to be serviced is as the 3rd business hall candidate point；
One second selects module, is used for utilizing method of exhaustion from this first business hall candidate point, this second business hall candidate point and to be somebody's turn to do
3rd business hall candidate point is selected an optimal business hall candidate point；
This display module is for showing this optimal business hall candidate point on this electronic chart.
4. business hall as claimed in claim 3 candidate point screening system, it is characterised in that this business hall candidate point screening system
Also including a judge module, this judge module is used for judging whether the user coverage rate in this region reaches one second setting threshold value,
If then terminating, if call the most successively this first computing module, this first screening module, this scan module, this first
Identification module, this second computing module, this order module, this second identification module, this second screening module, this first selection mould
Block, this second selection module and this display module；
Wherein, this first computing module for each business hall and each optimal business hall candidate point as the center of circle, this is optimal
Served distance is the optimal service scope that radius calculates each business hall respectively；This first screening module is used for filtering out
Enter the user in the range of the optimal service of arbitrary business hall and optimal business hall candidate point as potential user group to be serviced；
Wherein, user's summation that user coverage rate is covered by those business halls in this region and optimal business hall candidate point with should
The ratio between all users in region.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108205574A (en) * | 2016-12-20 | 2018-06-26 | 中国移动通信集团公司 | A kind of determining method and device of the Service coverage of entity channel |
| CN108764562A (en) * | 2018-05-24 | 2018-11-06 | 山东浪潮商用系统有限公司 | A kind of self-help tax point dispositions method based on trajectory analysis |
| CN109556612A (en) * | 2017-09-26 | 2019-04-02 | 腾讯科技（深圳）有限公司 | A kind of method for processing navigation information, device, server, terminal and storage medium |
| CN109903065A (en) * | 2017-12-08 | 2019-06-18 | 阿里巴巴集团控股有限公司 | A kind of method and apparatus of the candidate score value of determining candidate point |
| CN113392338A (en) * | 2021-06-11 | 2021-09-14 | 中国联合网络通信集团有限公司 | Hotspot area positioning method, device, equipment and storage medium |
| CN113503897A (en) * | 2021-07-08 | 2021-10-15 | 广州小鹏自动驾驶科技有限公司 | Parking map quality inspection method and device and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104661225A (en) * | 2013-11-25 | 2015-05-27 | 中国移动通信集团福建有限公司 | WLAN hot spot distribution method and device |
| CN104991924A (en) * | 2015-06-26 | 2015-10-21 | 百度在线网络技术（北京）有限公司 | Method and apparatus for determining address of new supply point |
| CN105206046A (en) * | 2015-10-10 | 2015-12-30 | 东南大学 | Big-data-based taxi service station site selection and feasibility evaluation method |
-
2016
- 2016-07-18 CN CN201610564689.XA patent/CN106202471A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104661225A (en) * | 2013-11-25 | 2015-05-27 | 中国移动通信集团福建有限公司 | WLAN hot spot distribution method and device |
| CN104991924A (en) * | 2015-06-26 | 2015-10-21 | 百度在线网络技术（北京）有限公司 | Method and apparatus for determining address of new supply point |
| CN105206046A (en) * | 2015-10-10 | 2015-12-30 | 东南大学 | Big-data-based taxi service station site selection and feasibility evaluation method |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108205574A (en) * | 2016-12-20 | 2018-06-26 | 中国移动通信集团公司 | A kind of determining method and device of the Service coverage of entity channel |
| CN109556612A (en) * | 2017-09-26 | 2019-04-02 | 腾讯科技（深圳）有限公司 | A kind of method for processing navigation information, device, server, terminal and storage medium |
| CN109903065A (en) * | 2017-12-08 | 2019-06-18 | 阿里巴巴集团控股有限公司 | A kind of method and apparatus of the candidate score value of determining candidate point |
| CN109903065B (en) * | 2017-12-08 | 2023-05-26 | 阿里巴巴集团控股有限公司 | Method and device for determining candidate scores of candidate points |
| CN108764562A (en) * | 2018-05-24 | 2018-11-06 | 山东浪潮商用系统有限公司 | A kind of self-help tax point dispositions method based on trajectory analysis |
| CN108764562B (en) * | 2018-05-24 | 2022-03-15 | 浪潮软件科技有限公司 | Self-service tax handling point deployment method based on trajectory analysis |
| CN113392338A (en) * | 2021-06-11 | 2021-09-14 | 中国联合网络通信集团有限公司 | Hotspot area positioning method, device, equipment and storage medium |
| CN113503897A (en) * | 2021-07-08 | 2021-10-15 | 广州小鹏自动驾驶科技有限公司 | Parking map quality inspection method and device and electronic equipment |
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Application publication date: 20161207 |
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