CN109284952B - Method and device for positioning home region - Google Patents
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Abstract
The embodiment of the application provides a method and a device for positioning a home zone, wherein the method comprises the following steps: acquiring a distribution address of a distribution object; converting the delivery address into a position code; acquiring a corresponding raster image by adopting the position code, wherein the raster image is provided with an image code; and positioning the home area of the distribution object by using the image code and the position code. According to the embodiment of the application, the raster image is used for rapid positioning, and the processing efficiency is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of logistics information, in particular to a method and a device for positioning an attribution area.
Background
In the field of e-commerce, logistics zoning (also referred to as logistics distribution) is a very important link in a logistics distribution route making process, is a node which is connected with the upstream and the downstream in a multistage supply chain, and the operational smoothness of the nodes is directly related to the operational smoothness of the whole e-commerce supply chain.
At present, the following two main ways of the logistics partition scheme are available:
1, address and keyword partitioning scheme: the scheme mainly performs partitioning according to administrative districts and corresponding cell keywords. The partition main scheme is that large partition is firstly carried out according to the current administrative division, then word segmentation is carried out according to distribution addresses by using addresses to obtain keywords, and then corresponding distribution areas are matched. Specifically, when a delivery address for a user to place an order is used, the delivery address is split into province, city, county and country, building, village, district, place and the like, wherein the four front levels (province, city, county and country) of the delivery address are fixed, and the addresses (building, village, district, place) at the later levels are manually filled by the user, and writing methods of the users are different, so that the addresses manually filled by the user are segmented, and then matching is performed according to the segmented keywords to obtain a target attribution area.
2, map area partition scheme: this scheme mainly uses the map technique for partitioning. The main partitioning scheme includes that firstly, inverse address processing is carried out on a distribution address to analyze longitude and latitude, and then region matching is carried out on the distribution address and a pre-partitioned attribution region based on the longitude and latitude to obtain a target attribution region.
However, the above-mentioned flow division scheme has the following disadvantages:
1, according to the partitioning scheme of the addresses and the keywords, the problem that the addresses of the province and city counties of the multi-level addresses are not matched with the addresses filled in by the users cannot be solved, and the problem of partitioning errors according to the province and city counties is caused. Specifically, in the process of partitioning according to the address and the keyword, large partitioning is performed according to provinces, cities, counties and towns, and then the keyword in the delivery address is matched. At this time, if the keywords extracted from the previous address and the last detailed address do not match, the corresponding partition is generally searched according to the fuzzy matching keyword, which is likely to cause errors.
For example, an address write is: a certain subzone of the swallow suburb in the east city of Beijing. The user has two possibilities for such an address, the first is that the previous province, city, county, directly selects the default address option without modification, and the second is that the area supports express delivery. If the partition is performed according to the address and the keyword, the partition is easily divided into a cell or a market which is close to the suburb keyword in the eastern city.
2, according to the address and key word partition scheme, the partition error problem is easily caused because the key words are easy to repeat. In particular, cell mall restaurant names and the like are now much the same, such as in the full focus of Beijing, in many places, and if the keyword has a full focus, at this time an order is easily divided into multiple zones.
3, according to address and keyword subregion scheme, often need depend on present administrative district, however, present administrative district is the best subregion scheme in geometry, causes many places to be can not be through warehouse branch goods nearby, can only carry out branch goods through the warehouse of being responsible for this administrative district, causes very big freight capacity extravagant.
According to the map area partitioning scheme, a large number of polygons are required to contain calculation, so that a large number of calculation resources are required to be occupied, a large number of calculation resources are wasted, and the processing efficiency is reduced.
Disclosure of Invention
In view of the above problems, embodiments of the present application are proposed to provide a method for locating a home area and a corresponding device for locating a home area, which overcome or at least partially solve the above problems.
In order to solve the above problem, the present application discloses a method for locating a home zone, including:
acquiring a distribution address of a distribution object;
converting the delivery address into a position code;
acquiring a corresponding raster image by adopting the position code, wherein the raster image is provided with an image code;
and positioning the home area of the distribution object by using the image code and the position code.
Optionally, the step of locating the home area of the delivery target by using the image coding includes:
obtaining an image identification value by adopting the image code and the position code;
converting the image identification value into a region code;
and positioning the home region of the distribution object according to the region code.
Optionally, the raster image is generated offline by:
acquiring appointed map data;
dividing image areas in the map data, wherein the image areas have corresponding attribution areas;
acquiring the initial longitude and latitude and the ending longitude and latitude of the image area; generating an area code by adopting the initial longitude and latitude and the ending longitude and latitude of the image area;
converting the region code into an image identification value;
and generating a raster image by using the image area and the corresponding image identification value.
Optionally, the method further comprises:
acquiring the initial longitude and latitude and the ending longitude and latitude of the map data;
and generating an image code by adopting the starting longitude and latitude and the ending longitude and latitude of the map data.
Optionally, the step of converting the delivery address into a position code includes:
converting the distribution address into a target longitude and latitude;
and generating a position code for identifying the raster image by adopting the target longitude and latitude.
Optionally, the delivery address includes a selected filling part address and a hand filling part address, and before the step of converting the delivery address into the target longitude and latitude, the method further includes:
identifying keywords of a hand-filled part of addresses in the delivery addresses;
and correcting the address of the selected filling part of the distribution address by adopting the keyword.
Optionally, the method further comprises:
and if the address of the hand-filled part in the delivery address cannot be identified, informing a user to correct the delivery address.
Optionally, the step of acquiring a corresponding raster image by using the position code includes:
determining an image code to which the position code belongs;
and acquiring a raster image corresponding to the image code.
Optionally, the step of obtaining the image identification value by using the image coding and the position coding includes:
acquiring the offset of the raster image;
and calculating the difference value between the offset and the position code to obtain an image identification value.
The application also discloses a positioner of home zone, its characterized in that includes:
one or more processors; and
instructions in one or more computer-readable media stored thereon, which when executed by the one or more processors, cause the apparatus to perform the above-described method.
One or more computer-readable media having instructions stored thereon that, when executed by one or more processors, cause a terminal device to perform the above-described methods are also disclosed.
The embodiment of the application has the following advantages:
in the embodiment of the application, when the home area of the distribution object needs to be located, the distribution address of the distribution object is firstly obtained, then the distribution address of the distribution object is converted to obtain the position code, the corresponding raster image is obtained based on the position code, and finally the position code and the image code of the raster image are used for locating the home area of the distribution object, so that a subsequent series of corresponding processing can be performed based on the home area. In the embodiment of the application, the raster image is used for rapid positioning, and the processing efficiency is improved.
Drawings
Fig. 1 is a flowchart of the steps of embodiment 1 of a method for locating a home area according to the present application;
fig. 2 is a flowchart of the steps of embodiment 2 of a home domain positioning method of the present application;
FIG. 3 is a schematic diagram of an application scenario of merchandise distribution according to the present application;
FIG. 4 is a schematic view of a latitude and longitude converted raster image of the present application;
FIG. 5 is a schematic illustration of a region of image color values of the present application;
FIG. 6 is a schematic diagram of a raster image based fast positioning of the present application;
FIG. 7 is a flow chart of a fast fix of the present application;
fig. 8 is a block diagram of an embodiment of an intelligent terminal according to the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
Referring to fig. 1, a flowchart of steps of an embodiment 1 of a home domain positioning method according to the present application is shown, which may specifically include the following steps:
103, acquiring a corresponding raster image by using the position code, wherein the raster image has an image code;
and 104, positioning the home area of the distribution object by using the image code and the position code.
In practical application, the embodiment of the application can be applied to the field of logistics distribution, and particularly, distribution implementation of various distribution objects can be applied. In the embodiment of the application, when the home area of the delivery object needs to be located, the delivery address of the delivery object is firstly obtained, then the delivery address of the delivery object is converted to obtain the position code, the corresponding raster image is obtained based on the position code, and finally the position code and the image code of the raster image are used for locating the home area of the delivery object, so that a subsequent series of corresponding processing can be carried out based on the home area. In the embodiment of the application, the raster image is used for rapid positioning, and the processing efficiency is improved.
Referring to fig. 2, a flowchart of steps of embodiment 2 of the method for locating a home zone according to the present application is shown, which may specifically include the following steps:
the embodiment of the application can be applied to the e-commerce platform, and the distribution object is specific things in different business fields on the e-commerce platform, such as commodities. When a user places an order on the e-commerce platform to purchase a commodity, a delivery address of the commodity needs to be filled in the shopping platform, so that the commodity can be delivered to the user.
In order to make the embodiments of the present application better understood by those skilled in the art, the present specification mainly describes an example in which a commodity is used as a distribution target.
Referring to fig. 3, after the user successfully purchases on the e-commerce platform, the goods need to be delivered to the user based on the delivery address. In actual logistics transportation, logistics partitioning is needed to determine an attribution area, and a logistics distribution route is established based on the determined attribution area, so that commodities can be accurately and quickly sorted, and the commodities are distributed to users.
In a preferred embodiment of the present application, a raster image is used to perform fast partitioning based on a delivery address of a delivery object, and the raster image of the embodiment of the present application may be generated offline in the following manner:
acquiring appointed map data;
dividing image areas in the map data, wherein the image areas have corresponding attribution areas;
acquiring the initial longitude and latitude and the ending longitude and latitude of the image area;
generating an area code by adopting the initial longitude and latitude and the ending longitude and latitude of the image area;
converting the region code into an image identification value;
and generating a raster image by using the image area and the corresponding image identification value.
The raster image of the embodiment of the application is generated based on the existing map data, and then the image area is divided on the basis to determine the attribution area, wherein in order to improve the positioning efficiency of the attribution area, besides rasterizing the map data, each image area of the raster image is converted into an image identification value after adopting longitude and latitude generation area coding. It should be noted that, in a preferred example, the image identification value in the embodiment of the present application may refer to an image color value, and the present application may use the image color value to quickly locate the home region.
In one example, the raster image is generated from a map editing partition of a courier point area or a widget service area. The following raster imaging process is illustrated as an example:
(1) Grid image size division:
in practice, the region is about 0.0001 degree corresponding to about 1 meter according to the longitude and latitude of China. The two have errors, so that direct conversion cannot be carried out, and conversion is required according to the specific longitude and latitude of the earth.
The grid imaging is carried out according to the embodiment of the application, conversion is not needed according to the real distance, and the purpose of fast partitioning can be achieved only by conversion according to the longitude and latitude. The subareas can be divided according to cells and villages, the cells and villages generally exceed 100 meters, one image point can be selected to represent 10 meters (0.001 degrees) for insurance, and therefore the situation that a plurality of cells/villages cannot exist on one pixel point can be guaranteed, and the problem of errors of subsequent subareas cannot be caused.
Each warehouse or distribution area is about 100 kilometers, and therefore each graph has 10000 pixel points in the transverse direction and the longitudinal direction. If the nationwide partitioning scheme is adopted, only the raster images need to be subjected to image numbering and then are divided into a plurality of raster images, so that the rapid position identification of a single image and the size of the raster image are ensured.
It should be noted that the examples in the embodiments of the present application are only for convenience of understanding, and the present application should not be construed as being limited to the above application scenarios or examples.
(2) Grid image coding:
the image areas in each raster image are numbered with pure 32-bit numbers, and the 32-bit numbers can represent a range exceeding 40 hundred million, which completely satisfies the requirement of partitioning to couriers. Referring to fig. 4, when region coding is completed, a region number can be mapped to one image color value.
(3) Generating a raster image of multi-image color values:
after the area codes are allocated to the respective image areas in the raster image, an image code of the raster image is further generated. In a preferred embodiment of the present application, the method may further include the steps of:
acquiring the initial longitude and latitude and the ending longitude and latitude of the map data;
and generating an image code by adopting the starting longitude and latitude and the ending longitude and latitude of the map data.
That is, area codes are allocated to each image area in the raster image, and image codes are generated according to the starting longitude and the ending longitude of the raster image in the map data. The image coding can be used to quickly locate a larger area based on the shipping address.
Specifically, the number of images is calculated according to the size of the raster image, and then numbering is performed according to the start and end latitudes of the raster image, and referring to fig. 4, if the start latitude and the end latitude of the raster image are (116.000, 40.000) and (117.000, 41.000), the name of the raster image is 116000_40000-117000_41000. And then converting the image color values according to the area numbers to generate corresponding raster images.
In this example, the user edits the polygon areas on the map data, saves the start longitude and latitude and the end longitude and latitude of each polygon area into a longitude and latitude data set to obtain the area code, maps the area code of the image area to a color value (image color value), and directly fills the color value in the image area by the polygon filling technology.
It should be noted that a large partition map is on a raster image, for example, beijing has 1000 couriers, and each courier is responsible for an area, so that one thousand image areas on the raster image of beijing are divided to form a raster image. The home area for a widget is generally continuous, and in particular is discontinuous.
in a preferred embodiment of the present application, the step 202 may include the following sub-steps:
step S11, converting the distribution address into a target longitude and latitude;
and a substep S12 of generating a position code for identifying the raster image by using the latitude and longitude of the target.
In the embodiment of the application, address preprocessing is performed on the delivery address. Specifically, the address preprocessing process is to correct administrative area information through a reverse geographic technology according to a user administrative area address (a selected filling part address) and a detailed address (a hand filling part address) in a distribution address, and acquire detailed longitude and latitude of the distribution address and community/village longitude and latitude.
In a preferred embodiment of the present application, the delivery address includes a selected part address and a hand-filled part address, and before the step of converting the delivery address into the target longitude and latitude, that is, the sub-step S11, the following sub-steps may be further included:
step S1, identifying keywords of a hand-filled part address in the delivery address;
and S2, correcting the address of the selected filling part of the delivery address by adopting the keyword.
In practice, the delivery address can be divided into a selected and filled part address and a hand-filled part address, the selected and filled part address is a fixed province, city, county and county, the user can be reminded to complete input in a pull-down menu mode and the like, and the hand-filled part address contains a detailed address with keywords manually filled by the user.
The address preprocessing is different from the partition, the process can be unrecognizable, and therefore, in practice, whether the province, city, county and county villages which are selected and filled in the front are correct or not can be deduced through detailed addresses.
When the province, city and county villages and the detailed address are not matched, if the specific position can be judged directly through the detailed address, the province, city and county villages can be corrected. For example, if the distribution address is the suburb of beijing city, the keyword can be directly matched with the suburb of hebeijing province instead of the suburb of beijing city, and then the keyword can be directly corrected.
In a preferred embodiment of the present application, the method may further comprise the sub-steps of:
and a substep S3, if the address of the hand-filled part in the delivery address can not be identified, informing the user to correct the delivery address.
If the detailed address under the province, city, county and county cannot be identified, the abnormal situation is processed abnormally, manual identification is carried out at the moment, if the address can be identified manually, the delivery address is modified manually and then added into an address library, automatic identification can be carried out later, and the accuracy is improved. If the user can not identify the delivery address manually, the user can be contacted to inform the user of the identifiable accurate address to correct the delivery address.
in a preferred embodiment of the present application, the step 203 may include the following sub-steps:
substep S21, determining the image code where the position code is located;
and a substep S22 of obtaining a raster image corresponding to the image code.
After converting the distribution address into longitude and latitude, the longitude and latitude are multiplied by 1000, and decimal place is removed to be converted into position code for identifying raster image. For example, if the longitude and latitude of the delivery address after conversion is (116.34512, 40.23421), the position code converted into the image recognition is (116345, 40234), and it is determined that the position code belongs to the raster image of the image code (116000_40000-117000_41000).
in a preferred embodiment of the present application, the step 204 may comprise the following sub-steps:
substep S31, obtaining the offset of the raster image;
and a substep S32 of calculating an image recognition value using the offset and the position code.
In the embodiment of the present application, image color values (image identification values) at the cell/village positions can be quickly obtained according to the image coding and the offset, and then the image color values are converted into region coding to realize quick partitioning, which can be referred to fig. 6.
For example, in the raster image of beijing, the image point corresponding to the initial longitude and latitude is (116000, 40000), the position code is (116345, 40234), the image point corresponding to the initial longitude and latitude is obtained by subtracting the image point from the image point corresponding to the initial longitude and latitude, that is (345, 234), and then the color value of the point is directly obtained (345, 234).
After the image color value is calculated, the image color value can be quickly converted into a corresponding region code, and the image color value can be positioned to the attribution region of the distribution object based on the region code.
It should be noted that the application scenarios of the present application mainly include two types, one type is a large-scale online shopping warehouse sorting and distribution center, and the other type is a distribution center of an express company. Referring to fig. 3, the specific processing procedure mainly includes:
1. the large-scale online shopping warehouse issues the order through the delivery address of the order, partitions are directly carried out according to the delivery address of the order to determine the corresponding attribution area, a bill with a flow direction mark is generated, the order is picked and packaged into an express package, and then the express package can be distributed to an express distribution center according to the bill.
2. The express distribution center carries out regional operation through the package information received by the superior or distributed by the superior.
3. And partitioning according to different area codes, namely determining the area codes based on the distribution addresses and then positioning to the corresponding home areas. Wherein, the package information includes the delivery address of the order.
4. And the delivery vehicle delivers the goods to the delivery points of the attribution areas corresponding to the area codes according to the different area codes.
5. And the courier picks up the self-obtained package at the distribution point according to the region code for distribution and distributes the package to the user according to the detailed address.
By applying the embodiment of the application, at least the following problems can be solved:
1, correcting and filling part of administrative district addresses (province, city, county and village and the like) by utilizing geographic preprocessing according to the hand-filling part of the distribution addresses, and solving the problem of subarea errors caused by administrative district errors.
And 2, partitioning according to a multi-value image (a raster image with image color values), and essentially partitioning according to longitude and latitude, wherein the partition scheme of the zone bit can well solve the problem of keyword errors.
And 3, partitioning is performed by utilizing the multi-value graph, so that the partition of administrative districts can be separated, the partitioning is directly performed according to reasonable partition space, and more reasonable warehouse configuration and efficiency are improved.
And 4, zone division is performed by utilizing the raster image, so that the corresponding image area can be quickly obtained through position colors, and the problem of judging the performance of the area according to the vector map is solved.
In the embodiment of the application, the position code is obtained by converting the distribution address of the distribution object, the image color value is obtained by converting the position code and the image code of the raster image after the corresponding raster image is obtained based on the position code, and finally the region code is obtained based on the image color value conversion, so that the region code can be positioned to the attribution region of the distribution object based on the region code, and a subsequent series of corresponding processing is performed based on the attribution region. In the embodiment of the application, the color values of the image are obtained by utilizing the rapid positioning of the raster image, so that the rapid partition is realized, and the processing efficiency is improved.
In order to make the embodiment of the present application better understood, the processing procedure of the present application is described with reference to a flowchart of fast positioning shown in fig. 7.
The fast partition part includes:
1, processing the longitude and latitude of a cell/village where a distribution address of an order is located;
2, acquiring a grid image where the longitude and latitude are located;
and 3, acquiring image color values according to the image coding and the offset of the raster image. (ii) a
Wherein the condition of entering (one) is that the following (two) order generation part, specifically the (two) order generation part comprises:
1, selecting a commodity;
2, selecting a delivery address;
and 3, generating an order of the commodity based on the delivery address.
For the step of selecting a delivery address in (two), the delivery address needs to be processed based on the created address (iii), and specifically, the creating an address part (iii) includes:
1, address preprocessing;
and 2, generating a new address comprising the longitude and latitude of the cell/village.
Further, as for (a) the step of acquiring the raster image in which the latitude and longitude are located, the processing may be performed based on (four) generating the partitioned data section, specifically the (four) generating the partitioned data section includes:
editing partition data, namely dividing a polygonal area on a map;
2, editing the area code of each polygon area;
and 3, converting picture color values according to the regional code to generate a raster image.
The map data in the embodiment of the application generate the raster image according to the region coding, and then the raster image is used for quickly positioning to obtain the image color values for quick partitioning.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those of skill in the art will recognize that the embodiments described in this specification are presently preferred embodiments and that no particular act is required to implement the embodiments of the disclosure.
Embodiments of the disclosure may be implemented as a system using any suitable hardware, firmware, software, or any combination thereof, for the desired configuration. Fig. 8 schematically illustrates an exemplary system (or apparatus) 400 that can be used to implement various embodiments described in this disclosure.
For one embodiment, fig. 8 illustrates an exemplary system 400 having one or more processors 402, a system control module (chipset) 404 coupled to at least one of the processor(s) 402, system memory 406 coupled to the system control module 404, non-volatile memory (NVM)/storage 408 coupled to the system control module 404, one or more input/output devices 410 coupled to the system control module 404, and a network interface 412 coupled to the system control module 406.
In some embodiments, system 400 may include one or more computer-readable media (e.g., system memory 406 or NVM/storage 408) having instructions and one or more processors 402 combined with the one or more computer-readable media and configured to execute the instructions to implement modules to perform the actions described in this disclosure.
For one embodiment, system control module 404 may include any suitable interface controllers to provide any suitable interface to at least one of processor(s) 402 and/or to any suitable device or component in communication with system control module 404.
The system control module 404 may include a memory controller module to provide an interface to the system memory 406. The memory controller module may be a hardware module, a software module, and/or a firmware module.
For one embodiment, system control module 404 may include one or more input/output controllers to provide an interface to NVM/storage 408 and input/output device(s) 410.
For example, NVM/storage 408 may be used to store data and/or instructions. NVM/storage 408 may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage device(s) (e.g., one or more hard disk drive(s) (HDD (s)), one or more Compact Disc (CD) drive(s), and/or one or more Digital Versatile Disc (DVD) drive (s)).
NVM/storage 408 may include storage resources that are physically part of the device on which system 400 is installed or may be accessed by the device and not necessarily part of the device. For example, NVM/storage 408 may be accessed over a network via input/output device(s) 410.
Input/output device(s) 410 may provide an interface for system 400 to communicate with any other suitable device, input/output device(s) 410 may include communication components, audio components, sensor components, and the like. Network interface 412 may provide an interface for system 400 to communicate over one or more networks, and system 400 may communicate wirelessly with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols, such as to access a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof.
For one embodiment, at least one of the processor(s) 402 may be packaged together with logic for one or more controller(s) (e.g., memory controller module) of the system control module 404. For one embodiment, at least one of the processor(s) 402 may be packaged together with logic for one or more controller(s) of the system control module 404 to form a System In Package (SiP). For one embodiment, at least one of the processor(s) 402 may be integrated on the same die with logic for one or more controller(s) of the system control module 404. For one embodiment, at least one of the processor(s) 402 may be integrated on the same die with logic for one or more controller(s) of system control module 404 to form a system on chip (SoC).
In various embodiments, system 400 may be, but is not limited to being: a browser, a workstation, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.). In various embodiments, system 400 may have more or fewer components and/or different architectures. For example, in some embodiments, system 400 includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including a touch screen display), a non-volatile memory port, multiple antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and speakers.
Wherein, if the display includes a touch panel, the display screen may be implemented as a touch screen display to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
The present application further provides a non-volatile readable storage medium, where one or more modules (programs) are stored in the storage medium, and when the one or more modules are applied to a terminal device, the one or more modules may cause the terminal device to execute instructions (instructions) of method steps in the present application.
In one example, a positioning apparatus of a home zone is provided, including: one or more processors; and one or more machine readable media having instructions stored thereon, which when executed by the one or more processors, cause the apparatus to perform a method as performed by a browser in embodiments of the application.
One or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform a method as performed by a browser in embodiments of the application, are also provided in one example.
The embodiment of the application discloses a method and a device for positioning an attribution area, and example 1 comprises a method for positioning an attribution area, which comprises the following steps: acquiring a distribution address of a distribution object; converting the delivery address into a position code; acquiring a corresponding raster image by adopting the position code, wherein the raster image is provided with an image code; and positioning the attribution area of the distribution object by adopting the image code and the position code.
Example 2 may include the method of example 1, wherein the locating a home region of the delivery subject using the image coding comprises: obtaining an image identification value by adopting the image code and the position code; converting the image recognition value into a region code; and positioning the home region of the distribution object according to the region code.
Example 3 may include the method of example 2, wherein the raster image is generated offline by: acquiring appointed map data; dividing image areas in the map data, wherein the image areas have corresponding attribution areas; acquiring the initial longitude and latitude and the ending longitude and latitude of the image area; generating an area code by adopting the initial longitude and latitude and the ending longitude and latitude of the image area; converting the region code into an image identification value; and generating a raster image by using the image area and the corresponding image identification value.
Example 4 may include the method of example 3, further comprising: acquiring the initial longitude and latitude and the ending longitude and latitude of the map data; and generating an image code by adopting the starting longitude and latitude and the ending longitude and latitude of the map data.
Example 5 may include the method of example 1, wherein the step of converting the delivery address into a position code comprises: converting the distribution address into a target longitude and latitude; and generating a position code for identifying the raster image by adopting the target longitude and latitude.
Example 6 may include the method of example 5, wherein the delivery address includes a opt-in partial address and a hand-in partial address, and further comprising, prior to the step of converting the delivery address to the target latitude and longitude: identifying keywords of a hand-filled part of addresses in the delivery addresses; and correcting the address of the selected filling part of the delivery address by adopting the keyword.
Example 7 may include the method of example 6, further comprising: and if the address of the hand-filled part in the delivery address cannot be identified, informing a user to correct the delivery address.
Example 8 may include the method of example 1, wherein the acquiring with the position coding a corresponding raster image comprises: determining an image code to which the position code belongs; and acquiring a raster image corresponding to the image code.
Example 9 may include the method of example 2, wherein the deriving an image identification value using the image coding and the position coding comprises: acquiring the offset of the raster image; and calculating the difference between the offset and the position code to obtain an image identification value.
Example 10, a home zone location apparatus, comprising: one or more processors; and one or more computer-readable media stored thereon that, when executed by the one or more processors, cause the apparatus to perform the methods of examples 1-9.
Example 11, one or more computer-readable media having instructions stored thereon that, when executed by one or more processors, cause a terminal device to perform the methods of examples 1-9.
Although certain examples have been illustrated and described for purposes of description, a wide variety of alternate and/or equivalent implementations, or calculations, may be made to achieve the same objectives without departing from the scope of practice of the present application. This application is intended to cover any adaptations or variations of the embodiments discussed herein. Therefore, it is manifestly intended that the embodiments described herein be limited only by the claims and the equivalents thereof.
Claims (8)
1. A method for locating a home zone, comprising:
acquiring a distribution address of a distribution object;
converting the delivery address into a position code;
acquiring a corresponding raster image by adopting the position code, wherein the raster image is provided with an image code; the grid image is converted according to the longitude and latitude;
the raster image is generated off-line in the following way:
acquiring appointed map data;
dividing image areas in the map data, wherein the image areas have corresponding attribution areas;
acquiring the initial longitude and latitude and the ending longitude and latitude of the image area;
generating an area code by adopting the initial longitude and latitude and the ending longitude and latitude of the image area;
transcoding the region code into image color values;
generating the raster image by using the image area and the corresponding image color values; different raster images have different image color values; the region coding and the image color values have corresponding mapping relation;
obtaining an image color value by adopting the image code and the position code;
converting the image color values into region codes based on the mapping relation;
positioning the attribution area of the distribution object according to the area code;
wherein before the converting the delivery address into the position code, the method further comprises:
and correcting administrative region information through a reverse geographic technology according to the user administrative region address and the detailed address in the distribution address, and acquiring the detailed longitude and latitude of the distribution address.
2. The method of claim 1, further comprising:
acquiring the initial longitude and latitude and the ending longitude and latitude of the map data;
and generating an image code by adopting the starting longitude and latitude and the ending longitude and latitude of the map data.
3. The method of claim 1, wherein the delivery address comprises a opt-in partial address and a hand-in partial address, and further comprising, prior to the step of converting the delivery address to a target latitude and longitude:
identifying keywords of a hand-filled part of addresses in the delivery addresses;
and correcting the address of the selected filling part of the delivery address by adopting the keyword.
4. The method of claim 3, further comprising:
and if the address of the hand-filled part in the delivery address cannot be identified, informing a user to correct the delivery address.
5. The method of claim 1, wherein the step of acquiring the corresponding raster image using the position encoding includes:
determining an image code to which the position code belongs;
and acquiring a raster image corresponding to the image code.
6. The method of claim 1, wherein the step of using the image code and the position code to obtain the image identification value comprises:
acquiring the offset of the raster image;
and calculating the difference between the offset and the position code to obtain an image identification value.
7. A home zone positioning apparatus, comprising:
one or more processors; and
instructions in one or more computer-readable media stored thereon that, when executed by the one or more processors, cause the apparatus to perform the methods of claims 1-6.
8. One or more computer-readable media having instructions stored thereon that, when executed by one or more processors, cause a terminal device to perform the methods of claims 1-6.
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| CN110009284A (en) * | 2019-04-03 | 2019-07-12 | 拉扎斯网络科技（上海）有限公司 | Information processing method, device, storage medium and electronic equipment |
| CN110189075A (en) * | 2019-04-22 | 2019-08-30 | 顺丰科技有限公司 | A kind of posting address management method, device, equipment and storage medium |
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