CN110363414A - Dispense the partitioning method and device in region - Google Patents
Dispense the partitioning method and device in region Download PDFInfo
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- CN110363414A CN110363414A CN201910580337.7A CN201910580337A CN110363414A CN 110363414 A CN110363414 A CN 110363414A CN 201910580337 A CN201910580337 A CN 201910580337A CN 110363414 A CN110363414 A CN 110363414A
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Abstract
The present invention provides a kind of partitioning method and devices for dispensing region, this method comprises: obtaining target area to be divided from regional ensemble；Detect that the target area is divided into multiple regions block；According to order data corresponding to region unit each in the multiple region unit, the multiple region unit is adjusted, obtains multiple dispatching regions.Through the invention, it solves the problems, such as that the division efficiency for dispensing region in the related technology is lower, and then has achieved the effect that the division efficiency for dispensing region.
Description
Technical field
The present invention relates to computer fields, in particular to a kind of partitioning method and device for dispensing region.
Background technique
Express delivery in Logistics Market at present, fast freight business come into the Red sea epoch, and what is mutually compared with is exactly " to provide ultimate attainment
Logistics service experience ", ultimate attainment service experience be unable to do without the support of logistics system automatic capability, and mainstream logistics company needle
GIS-Geographic Information System realization is relied primarily on to the scheduling link of allocating automatically of the full link of business.The effect that dispatching region is divided
Rate is lower.
For above-mentioned problem, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of partitioning method and devices for dispensing region, at least to solve to match in the related technology
The problem for sending the division efficiency in region lower.
According to one embodiment of present invention, a kind of division methods for dispensing region are provided, comprising:
Target area to be divided is obtained from regional ensemble；
Detect that the target area is divided into multiple regions block；
According to order data corresponding to region unit each in the multiple region unit, the multiple region unit is adjusted
It is whole, obtain multiple dispatching regions.
Optionally, the order data according to corresponding to region unit each in the multiple region unit, to the multiple region
Block is adjusted, and is obtained multiple dispatching regions and is included:
Obtain quantity on order information corresponding to each region unit in the multiple region unit；
By the quantity on order information input first nerves network model, the first nerves network model output is obtained
The multiple dispatching region, wherein the first nerves network model is used for the quantity on order information according to input to institute
State that multiple regions block merges or fractured operation, the first nerves network model are using the dispatching with corresponding relationship
The model that region division sample and quantity on order sample are trained the first initial neural network model.
Optionally, by the quantity on order information input first nerves network model, the first nerves network is obtained
After the multiple dispatching region of model output, the method also includes:
Obtain the distribution information of the dispatching personnel in dispatching region to be allocated；
According to one or more mesh that the distribution information is in the multiple dispatching region of dispatching personnel assignment
Standard configuration send region.
Optionally, detect that the target area is divided into multiple regions block and includes:
Detect the division operation executed to the target area, wherein the division operation is used to indicate the mesh
Mark region division is the multiple region unit；
The division operation is responded, is distributed according to street and the target area is divided into multiple blocks；
The multiple block is merged according to the construction area distribution in the target area, obtains the multiple area
Domain block.
Optionally, target area to be divided is obtained from regional ensemble includes:
Obtain the administrative division data of target cities, wherein the administrative division data are used to indicate institute
It states target cities and is divided into multiple administrative regions；
According to the data boundary of each administrative region in the multiple administrative region of administrative division Data Detection,
Wherein, the data boundary is used to indicate the borderline geographic object positioned at each administrative region；
The administrative division data and the data boundary are inputted into first nerves network model, obtain described first
The target administrative division data of neural network model output, wherein the first nerves network model is used for according to
Data boundary is adjusted the administrative division data, and the first nerves network model is using with corresponding relationship
Administrative division sample and boundary sample model that initial neural network model is trained；
The target cities are divided into multiple administrative regions according to the target administrative division data, wherein institute
Stating regional ensemble includes the multiple administrative region；
Each administrative region in the multiple administrative region is determined as the target area respectively.
According to another embodiment of the invention, a kind of dividing device for dispensing region is provided, comprising:
First obtains module, for obtaining target area to be divided from regional ensemble；
Detection module, for detecting that the target area is divided into multiple regions block；
Module is adjusted, for the order data according to corresponding to region unit each in the multiple region unit, to described more
A region unit is adjusted, and obtains multiple dispatching regions.
Optionally, the adjustment module includes:
First acquisition unit, for obtaining quantity on order information corresponding to each region unit in the multiple region unit；
First processing units, for obtaining described first for the quantity on order information input first nerves network model
The multiple dispatching region of neural network model output, wherein the first nerves network model is used for the institute according to input
Quantity on order information is stated to merge the multiple region unit or fractured operation, the first nerves network model be using
Dispatching region division sample and quantity on order sample with corresponding relationship are trained the first initial neural network model
The model arrived.
Optionally, described device further include:
Second obtains module, for by the quantity on order information input first nerves network model, obtaining described the
After the multiple dispatching region of one neural network model output, the matching for dispatching personnel for obtaining dispatching region to be allocated delivers letters
Breath；
Distribution module, for being the multiple one dispensed in region of the dispatching personnel assignment according to the distribution information
A or multiple targets dispense region.
Optionally, detection module includes:
First detection unit, for detecting the division operation executed to the target area, wherein the division operation
It is used to indicate and the target area is divided into the multiple region unit；
First division unit, for responding the division operation, be distributed according to street the target area is divided into it is more
A block；
Combining unit, for being merged according to the construction area distribution in the target area to the multiple block,
Obtain the multiple region unit.
Optionally, the first acquisition module includes:
Second acquisition unit, for obtaining the administrative division data of target cities, wherein the administrative division
Data, which are used to indicate, is divided into multiple administrative regions for the target cities；
Second detection unit, for according to each row in the multiple administrative region of administrative division Data Detection
The data boundary in administrative division domain, wherein the data boundary is used to indicate the borderline geography positioned at each administrative region
Object；
The second processing unit, for that the administrative division data and the data boundary will be inputted first nerves net
Network model obtains the target administrative division data of the first nerves network model output, wherein the first nerves net
Network model is for being adjusted the administrative division data according to the data boundary, the first nerves network model
Be using with corresponding relationship administrative division sample and boundary sample initial neural network model is trained to obtain
Model；
Second division unit, it is multiple for being divided into the target cities according to the target administrative division data
Administrative region, wherein the regional ensemble includes the multiple administrative region；
Determination unit, for each administrative region in the multiple administrative region to be determined as the target area respectively
Domain.
According to still another embodiment of the invention, a kind of storage medium is additionally provided, meter is stored in the storage medium
Calculation machine program, wherein the computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
According to still another embodiment of the invention, a kind of electronic device, including memory and processor are additionally provided, it is described
Computer program is stored in memory, the processor is arranged to run the computer program to execute any of the above-described
Step in embodiment of the method.
Through the invention, by obtaining target area to be divided from regional ensemble；Detect the target area quilt
It is divided into multiple regions block；According to order data corresponding to region unit each in the multiple region unit, to the multiple area
Domain block is adjusted, and obtains the modes in multiple dispatching regions, the target area in regional ensemble be divided into multiple regions block it
Afterwards, region unit is adjusted according to the order data on each region unit, obtains being more in line with the dispatching region that dispatching requires,
Dynamic adjustment is carried out to dispatching region using the data of dispatching order, flexibly dispatching region can be divided.Therefore, may be used
To solve the problems, such as that the division efficiency for dispensing region in the related technology is lower, reach the effect for improving the division efficiency in dispatching region
Fruit.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of hardware block diagram of the mobile terminal of the division methods in dispatching region of the embodiment of the present invention；
Fig. 2 is the flow chart of the division methods in dispatching region according to an embodiment of the present invention；
Fig. 3 is the structural block diagram one of the dividing device in dispatching region according to an embodiment of the present invention；
Fig. 4 is the structural block diagram two of the dividing device in dispatching region according to an embodiment of the present invention；
Fig. 5 is the structural block diagram three of the dividing device in dispatching region according to an embodiment of the present invention；
Fig. 6 is the structural block diagram four of the dividing device in dispatching region according to an embodiment of the present invention；
Fig. 7 is the structural block diagram five of the dividing device in dispatching region according to an embodiment of the present invention.
Specific embodiment
Hereinafter, the present invention will be described in detail with reference to the accompanying drawings and in combination with Examples.It should be noted that not conflicting
In the case of, the features in the embodiments and the embodiments of the present application can be combined with each other.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.
Embodiment of the method provided by the embodiment of the present application one can be in mobile terminal, terminal or similar fortune
It calculates and is executed in device.For running on mobile terminals, Fig. 1 is a kind of division methods in dispatching region of the embodiment of the present invention
Mobile terminal hardware block diagram.As shown in Figure 1, mobile terminal 10 may include that one or more (only shows one in Fig. 1
It is a) (processor 102 can include but is not limited to the processing of Micro-processor MCV or programmable logic device FPGA etc. to processor 102
Device) and memory 104 for storing data, optionally, above-mentioned mobile terminal can also include the biography for communication function
Transfer device 106 and input-output equipment 108.It will appreciated by the skilled person that structure shown in FIG. 1 is only to show
Meaning, does not cause to limit to the structure of above-mentioned mobile terminal.For example, mobile terminal 10 may also include it is more than shown in Fig. 1
Perhaps less component or with the configuration different from shown in Fig. 1.
Memory 104 can be used for storing computer program, for example, the software program and module of application software, such as this hair
The corresponding computer program of division methods in the dispatching region in bright embodiment, processor 102 are stored in memory by operation
Computer program in 104 realizes above-mentioned method thereby executing various function application and data processing.Memory 104
May include high speed random access memory, may also include nonvolatile memory, as one or more magnetic storage device, flash memory,
Or other non-volatile solid state memories.In some instances, memory 104 can further comprise relative to processor 102
Remotely located memory, these remote memories can pass through network connection to mobile terminal 10.The example packet of above-mentioned network
Include but be not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Transmitting device 106 is used to that data to be received or sent via a network.Above-mentioned network specific example may include
The wireless network that the communication providers of mobile terminal 10 provide.In an example, transmitting device 106 includes a Network adaptation
Device (Network Interface Controller, referred to as NIC), can be connected by base station with other network equipments to
It can be communicated with internet.In an example, transmitting device 106 can for radio frequency (Radio Frequency, referred to as
RF) module is used to wirelessly be communicated with internet.
A kind of division methods for dispensing region are provided in the present embodiment, and Fig. 2 is dispatching according to an embodiment of the present invention
The flow chart of the division methods in region, as shown in Fig. 2, the process includes the following steps:
Step S202 obtains target area to be divided from regional ensemble；
Step S204 detects that target area is divided into multiple regions block；
Step S206 carries out multiple regions block according to order data corresponding to region unit each in multiple regions block
Adjustment, obtains multiple dispatching regions.
Optionally, in the present embodiment, it can be, but not limited to include one or more region, the region in regional ensemble
It can be, but not limited to be divided according to administrative region, or can also be divided according to Urban Streets.
Optionally, in the present embodiment, the operation that target area is divided into multiple regions block can be, but not limited to be logical
Cross what the interactive operation with administrative staff was completed, such as: the target area got is shown in the display interface, by administrative staff
To be divided to target area.
Optionally, in the present embodiment, order data can be, but not limited to include quantity on order, order value, order it is close
Degree etc. information.
Optionally, in the present embodiment, the mode being adjusted to multiple regions block can be, but not limited to include splitting, closing
And etc..Such as: region unit biggish for quantity on order can be split as multiple dispatching regions.It is lesser for order density
Several region units can be merged into a dispatching region.
Through the above steps, by obtaining target area to be divided from regional ensemble；Detect the target area
It is divided into multiple regions block；According to order data corresponding to region unit each in the multiple region unit, to the multiple
Region unit is adjusted, and obtains the mode in multiple dispatching regions, and the target area in regional ensemble is divided into multiple regions block
Later, region unit is adjusted according to the order data on each region unit, obtains being more in line with the dispatching area that dispatching requires
Domain carries out dynamic adjustment to dispatching region using the data of dispatching order, can flexibly divide to dispatching region.Cause
This, can solve the lower problem of the division efficiency in dispatching region in the related technology, reach the division efficiency for improving dispatching region
Effect.
It is alternatively possible to but be not limited by AI technology automatically to be adjusted to region unit.Such as: in above-mentioned steps
In S206, quantity on order information corresponding to each region unit in multiple regions block is obtained；By quantity on order information input first
Neural network model obtains multiple dispatching regions of first nerves network model output, wherein first nerves network model is used for
Multiple regions block is merged according to the quantity on order information of input or fractured operation, first nerves network model be using
Dispatching region division sample and quantity on order sample with corresponding relationship are trained the first initial neural network model
The model arrived.
It optionally, can be according to the information of dispatching personnel come for each dispatching region after obtaining multiple dispatching regions
Distribute dispatching personnel.Such as: after the multiple dispatching regions for obtaining the output of first nerves network model, obtain dispatching to be allocated
The distribution information of the dispatching personnel in region；According to distribution information be dispense personnel assignment it is multiple dispatching regions in one or it is more
A target dispenses region.
Optionally, in the present embodiment, distribution information can be, but not limited to include dispatching personnel age, gender, history
The information such as allocation data.Each dispatching region can distribute one or more dispatching personnel.
Optionally, the partition process of multiple regions block can be executed by human-computer interaction, be drawn by administrative staff
The execution of point operation, detects and carries out preliminary division to target area according to street distribution situation after division operation, obtain more
A block merges block further according to the distribution situation of construction area, obtains multiple regions block.Such as: in above-mentioned steps S204
In, detect the division operation executed to target area, wherein division operation, which is used to indicate, is divided into multiple areas for target area
Domain block；Division operation is responded, is distributed according to street and target area is divided into multiple blocks；According to the building area in target area
Domain distribution merges multiple blocks, obtains multiple regions block.
Optionally, in the present embodiment, target area can be administrative block, (only consider major trunk roads and auxiliary according to road
Road；Put aside the small internal road of closing) cutting administration block, recycle AI technology according to cell, office building, square information etc.
Construction area distribution situation correlated sheet block, obtains multiple regions block.
Optionally, it can be, but not limited to include multiple administrative regions in regional ensemble, administrative region is according to administrative region
It divides what data divided urban area, its boundary is carried out by AI technology according to the boundary information of administrative region
Adjustment, obtains multiple administrative regions.It is further dispatching region by each administrative division.
Such as: in above-mentioned steps S202, obtain the administrative division data of target cities, wherein draw administrative region
Divided data, which is used to indicate, is divided into multiple administrative regions for target cities；According to the multiple administrative areas of administrative division Data Detection
The data boundary of each administrative region in domain, wherein data boundary be used to indicate positioned at each administrative region borderlinely
Manage object；Administrative division data and data boundary are inputted into first nerves network model, obtain first nerves network model
The target administrative division data of output, wherein first nerves network model is used to draw administrative region according to data boundary
Divided data is adjusted, and first nerves network model is using administrative division sample and boundary sample with corresponding relationship
The model that initial neural network model is trained；Target cities are divided into according to target administrative division data
Multiple administrative regions, wherein regional ensemble includes multiple administrative regions；Respectively by each administrative region in multiple administrative regions
It is determined as target area.
Through the above description of the embodiments, those skilled in the art can be understood that according to above-mentioned implementation
The method of example can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but it is very much
In the case of the former be more preferably embodiment.Based on this understanding, technical solution of the present invention is substantially in other words to existing
The part that technology contributes can be embodied in the form of software products, which is stored in a storage
In medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, calculate
Machine, server or network equipment etc.) execute method described in each embodiment of the present invention.
Additionally provide a kind of dividing device for dispensing region in the present embodiment, the device for realizing above-described embodiment and
Preferred embodiment, the descriptions that have already been made will not be repeated.As used below, predetermined function may be implemented in term " module "
The combination of the software and/or hardware of energy.It is hard although device described in following embodiment is preferably realized with software
The realization of the combination of part or software and hardware is also that may and be contemplated.
Fig. 3 is the structural block diagram one of the dividing device in dispatching region according to an embodiment of the present invention, as shown in figure 3, the dress
It sets and includes:
First obtains module 32, for obtaining target area to be divided from regional ensemble；
Detection module 34, for detecting that target area is divided into multiple regions block；
Module 36 is adjusted, for the order data according to corresponding to region unit each in multiple regions block, to multiple regions
Block is adjusted, and obtains multiple dispatching regions.
Fig. 4 is the structural block diagram two of the dividing device in dispatching region according to an embodiment of the present invention, as shown in figure 4, adjustment
Module 36 includes:
First acquisition unit 42, for obtaining quantity on order information corresponding to each region unit in multiple regions block；
First processing units 44, for obtaining first nerves net for quantity on order information input first nerves network model
Multiple dispatching regions of network model output, wherein first nerves network model is used for the quantity on order information according to input to more
A region unit merges or fractured operation, and first nerves network model is using the dispatching region division with corresponding relationship
The model that sample and quantity on order sample are trained the first initial neural network model.
Fig. 5 is the structural block diagram three of the dividing device in dispatching region according to an embodiment of the present invention, as shown in figure 5, above-mentioned
Device further include:
Second obtains module 52, for obtaining first nerves by quantity on order information input first nerves network model
After multiple dispatching regions of network model output, the distribution information of the dispatching personnel in dispatching region to be allocated is obtained；
Distribution module 54, for according to distribution information be dispense personnel assignment it is multiple dispatching regions in one or more
Target dispenses region.
Fig. 6 is the structural block diagram four of the dividing device in dispatching region according to an embodiment of the present invention, as shown in fig. 6, detection
Module 34 includes:
First detection unit 62, for detecting the division operation executed to target area, wherein division operation is for referring to
Show and target area is divided into multiple regions block；
First division unit 64 is distributed according to street target area being divided into multiple blocks for responding division operation；
Combining unit 66 obtains more for being merged according to the construction area distribution in target area to multiple blocks
A region unit.
Fig. 7 is the structural block diagram five of the dividing device in dispatching region according to an embodiment of the present invention, as shown in fig. 7, first
Obtaining module 32 includes:
Second acquisition unit 702, for obtaining the administrative division data of target cities, wherein administrative division
Data, which are used to indicate, is divided into multiple administrative regions for target cities；
Second detection unit 704, for according to each administrative area in the multiple administrative regions of administrative division Data Detection
The data boundary in domain, wherein data boundary is used to indicate the borderline geographic object positioned at each administrative region；
The second processing unit 706, for that administrative division data and data boundary will be inputted first nerves network mould
Type obtains the target administrative division data of first nerves network model output, wherein first nerves network model is used for root
Administrative division data are adjusted according to data boundary, first nerves network model is using the administration with corresponding relationship
The model that region division sample and boundary sample are trained initial neural network model；
Second division unit 708, for target cities to be divided into multiple administration according to target administrative division data
Region, wherein regional ensemble includes multiple administrative regions；
Determination unit 710, for each administrative region in multiple administrative regions to be determined as target area respectively.
It should be noted that above-mentioned modules can be realized by software or hardware, for the latter, Ke Yitong
Following manner realization is crossed, but not limited to this: above-mentioned module is respectively positioned in same processor；Alternatively, above-mentioned modules are with any
Combined form is located in different processors.
It is described in detail below with reference to alternative embodiment of the present invention.
Alternative embodiment of the present invention provides a kind of division methods for dispensing region, one had been provided in conjunction with map service provider
A little boundary informations such as base map ability and administrative region, cell, office building, square, rivers and lakes and road divide map
Plate.
Firstly, map is cut into administrative block using AI technology；It is also conceivable to administrative region side in dicing process
The variation issue on boundary is adjusted the boundary of administrative region.Block granularity is refine to street (township/town) rank.
Then, (major trunk roads and auxiliary road are only considered according to road in different administrative regions；Put aside road in closing cell
Road) the further cutting administration block in lake, region is obtained, recycles AI technology according to cell, office building, square information assembly section
Block obtains region unit.Intelligence is carried out according to each region unit History Order data and building information by AI intelligent analysis process to cut
Point or combined region block, obtain dispatching region division result.Network node administration person draws site and personnel's service area electronics encloses
Dispatching region is selected to distribute dispatching personnel when column.
The embodiments of the present invention also provide a kind of storage medium, computer program is stored in the storage medium, wherein
The computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
Optionally, in the present embodiment, above-mentioned storage medium can be set to store by executing based on following steps
Calculation machine program:
S1 obtains target area to be divided from regional ensemble；
S2 detects that the target area is divided into multiple regions block；
S3, according to order data corresponding to region unit each in the multiple region unit, to the multiple region unit into
Row adjustment, obtains multiple dispatching regions.
Optionally, in the present embodiment, above-mentioned storage medium can include but is not limited to: USB flash disk, read-only memory (Read-
Only Memory, referred to as ROM), it is random access memory (Random Access Memory, referred to as RAM), mobile hard
The various media that can store computer program such as disk, magnetic or disk.
The embodiments of the present invention also provide a kind of electronic device, including memory and processor, stored in the memory
There is computer program, which is arranged to run computer program to execute the step in any of the above-described embodiment of the method
Suddenly.
Optionally, above-mentioned electronic device can also include transmission device and input-output equipment, wherein the transmission device
It is connected with above-mentioned processor, which connects with above-mentioned processor.
Optionally, in the present embodiment, above-mentioned processor can be set to execute following steps by computer program:
S1 obtains target area to be divided from regional ensemble；
S2 detects that the target area is divided into multiple regions block；
S3, according to order data corresponding to region unit each in the multiple region unit, to the multiple region unit into
Row adjustment, obtains multiple dispatching regions.
Optionally, the specific example in the present embodiment can be with reference to described in above-described embodiment and optional embodiment
Example, details are not described herein for the present embodiment.
Obviously, those skilled in the art should be understood that each module of the above invention or each step can be with general
Computing device realize that they can be concentrated on a single computing device, or be distributed in multiple computing devices and formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
It is performed by computing device in the storage device, and in some cases, it can be to be different from shown in sequence execution herein
Out or description the step of, perhaps they are fabricated to each integrated circuit modules or by them multiple modules or
Step is fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific hardware and softwares to combine.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.It is all within principle of the invention, it is made it is any modification, etc.
With replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of division methods for dispensing region characterized by comprising
Target area to be divided is obtained from regional ensemble；
Detect that the target area is divided into multiple regions block；
According to order data corresponding to region unit each in the multiple region unit, the multiple region unit is adjusted,
Obtain multiple dispatching regions.
2. the method according to claim 1, wherein according to corresponding to region unit each in the multiple region unit
Order data, the multiple region unit is adjusted, obtaining multiple dispatching regions includes:
Obtain quantity on order information corresponding to each region unit in the multiple region unit；
By the quantity on order information input first nerves network model, the described of the first nerves network model output is obtained
Multiple dispatching regions, wherein the first nerves network model is used for the quantity on order information according to input to described more
A region unit merges or fractured operation, and the first nerves network model is using the dispatching region with corresponding relationship
Divide the model that sample and quantity on order sample are trained the first initial neural network model.
3. according to the method described in claim 2, it is characterized in that, by the quantity on order information input first nerves network
Model, after obtaining the multiple dispatching region of the first nerves network model output, the method also includes:
Obtain the distribution information of the dispatching personnel in dispatching region to be allocated；
Matched according to the distribution information for one or more target in the multiple dispatching region of dispatching personnel assignment
Send region.
4. the method according to claim 1, wherein detecting that the target area is divided into multiple regions block
Include:
Detect the division operation executed to the target area, wherein the division operation is used to indicate the target area
Domain is divided into the multiple region unit；
The division operation is responded, is distributed according to street and the target area is divided into multiple blocks；
The multiple block is merged according to the construction area distribution in the target area, obtains the multiple region
Block.
5. method according to claim 1 to 4, which is characterized in that obtained from regional ensemble to be divided
Target area includes:
Obtain the administrative division data of target cities, wherein the administrative division data are used to indicate the mesh
Mark city is divided into multiple administrative regions；
According to the data boundary of each administrative region in the multiple administrative region of administrative division Data Detection,
In, the data boundary is used to indicate the borderline geographic object positioned at each administrative region；
The administrative division data and the data boundary are inputted into first nerves network model, obtain the first nerves
The target administrative division data of network model output, wherein the first nerves network model is used for according to the boundary
Data are adjusted the administrative division data, and the first nerves network model is using the row with corresponding relationship
The model that political affairs region division sample and boundary sample are trained initial neural network model；
The target cities are divided into multiple administrative regions according to the target administrative division data, wherein the area
Domain set includes the multiple administrative region；
Each administrative region in the multiple administrative region is determined as the target area respectively.
6. a kind of dividing device for dispensing region characterized by comprising
First obtains module, for obtaining target area to be divided from regional ensemble；
Detection module, for detecting that the target area is divided into multiple regions block；
Module is adjusted, for the order data according to corresponding to region unit each in the multiple region unit, to the multiple area
Domain block is adjusted, and obtains multiple dispatching regions.
7. device according to claim 6, which is characterized in that the adjustment module includes:
First acquisition unit, for obtaining quantity on order information corresponding to each region unit in the multiple region unit；
First processing units, for obtaining the first nerves for the quantity on order information input first nerves network model
The multiple dispatching region of network model output, wherein the first nerves network model according to input for ordering
Single quantity information is merged to the multiple region unit or fractured operation, and the first nerves network model is using having
What the dispatching region division sample and quantity on order sample of corresponding relationship were trained the first initial neural network model
Model.
8. device according to claim 7, which is characterized in that described device further include:
Second obtains module, for obtaining first mind by the quantity on order information input first nerves network model
After the multiple dispatching region through network model output, the distribution information of the dispatching personnel in dispatching region to be allocated is obtained；
Distribution module, for according to the distribution information be it is described dispatching personnel assignment it is the multiple dispatching region in one or
The multiple targets of person dispense region.
9. a kind of storage medium, which is characterized in that be stored with computer program in the storage medium, wherein the computer
Program is arranged to execute method described in any one of claim 1 to 5 when operation.
10. a kind of electronic device, including memory and processor, which is characterized in that be stored with computer journey in the memory
Sequence, the processor are arranged to run the computer program to execute side described in any one of claim 1 to 5
Method.
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| CN110751446A (en) * | 2019-10-25 | 2020-02-04 | 上海德启信息科技有限公司 | Distribution area dividing method and device, electronic equipment and readable storage medium |
| CN111178975A (en) * | 2019-12-31 | 2020-05-19 | 北京顺达同行科技有限公司 | Business circle dividing method and device, electronic equipment and storage medium |
| CN111275383A (en) * | 2020-01-19 | 2020-06-12 | 腾讯云计算（北京）有限责任公司 | Distribution range generation method and device, computer equipment and storage medium |
| CN112752292A (en) * | 2020-12-29 | 2021-05-04 | 上海掌门科技有限公司 | Method and device for city grade prediction based on WIFI hotspot |
| WO2023221448A1 (en) * | 2022-05-17 | 2023-11-23 | 北京京东叁佰陆拾度电子商务有限公司 | Order allocation method and apparatus, and storage medium |
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