WO2018205760A1

WO2018205760A1 - Address selection method and device for delivery station

Info

Publication number: WO2018205760A1
Application number: PCT/CN2018/080619
Authority: WO
Inventors: 高腾斌
Original assignee: 北京京东尚科信息技术有限公司; 北京京东世纪贸易有限公司
Priority date: 2017-05-09
Filing date: 2018-03-27
Publication date: 2018-11-15
Also published as: CN108874801A; CN108874801B

Abstract

The present invention provides an address selection method and device for a delivery station, an electronic device, and a readable storage medium, capable of solving the problem of incapability of quickly providing a reliable address selection scheme. The method comprises: standardizing obtained existing road district information and existing station information according to a preset mode to obtain standardized data; and inputting the standardized data into a preconfigured mathematical model, and using output road district information as the address selection scheme.

Description

Method and device for selecting location of distribution station

Technical field

The present invention relates to the field of computers, and in particular, to a method and apparatus for location selection of a distribution station.

Background technique

At present, the location of the terminal distribution station in the express logistics industry has not been realized through technical support. The general situation is that the management personnel choose according to the experience and the site layout of the friends. Most of the terminal distribution stations have no scientific basis for selection. Fixed distribution stations often have repeated work such as modification, adjustment, relocation, and demolition, resulting in great waste of resources.

The existing terminal distribution station location has the following options:

1. According to the administrative division, the location of the rough terminal distribution station is carried out.

2. According to the layout of the friends and the industry, look for the location around the other brand terminal distribution stations for site selection.

3. Refer to some political factors and commercial center circle factors for site selection of terminal distribution stations.

4. According to the management level division of the express logistics industry, the application for station construction will be submitted from the bottom, and the terminal distribution station will be selected after the approval.

5. Combine the habits of regional division in the express logistics industry, gradually split the large areas, and cooperate with the terminal location selection work.

6. Combine the order density to select the location of the terminal distribution station.

In the process of implementing the present invention, the inventors have found that at least the following problems exist in the prior art:

1. It is impossible to provide a reliable location plan for a terminal distribution station that guarantees the operation cost while taking into consideration the quality of service according to the real-time changes of the site;

2. Manual site selection greatly reduces work efficiency.

Summary of the invention

In view of this, the embodiments of the present invention provide a method and apparatus for location selection of a distribution station, which can solve the problem that a reliable location selection solution cannot be quickly provided.

To achieve the above object, according to one aspect of the present invention, a method of site selection for a distribution station is provided.

A method for selecting a location of a delivery station according to an embodiment of the present invention includes: normalizing the acquired existing road area information and existing site information according to a preset mode to obtain standardized data; and inputting the standardized data into a preset mathematics In the model, the output road area information is used as the location selection scheme.

Optionally, the site corresponds to multiple road zones, wherein the road zone information includes distance class data and order quantity data, and the site information includes latitude and longitude data and financial class data.

Optionally, the mathematical model is based on data from existing road areas and existing sites, specifically:

Where ω is the transportation cost from the sorting center to the order unit of the station, d _ij is the distance from the sorting center i to the road area j, and q _tij is required to be delivered from the sorting center i in the t month The total order quantity of j,

It is the number of orders that need to be delivered within 5 kilograms from the sorting center i in the t-month.

It is the order quantity of 5 kg to 10 kg that needs to be delivered from the sorting center i in the t-month, Y _tik is the indicator variable, and Y _tjk =1 means that the site in the road area j covers the road area k Otherwise, Y _tjk =0, α is a constant term in the monthly cost equation of the site, α ^l is a constant term in the distribution cost function of the order unit within the weight of 5 kg, and α ^h is a function of the distribution cost of the order unit of 5 kg to 10 kg. The constant term, X _tj is the indicator variable, X _tj =1 means that the station has been established in the road area j in the t month, otherwise X _tj =0, t=0 represents the previous year in December, β ^l is within the weight of 5 kg The coefficient of the distribution distance in the order unit distribution cost function, β ^h is the coefficient of the distribution distance in the distribution cost function of the order unit of 5 kg to 10 kg, and d _jk is the distance between the center point of the road area j and the center point of the road area k.

Optionally, the embodiment of the present invention performs standardization processing on the acquired road area information and the site information according to a preset mode, to obtain standardized data, which specifically includes: storing the road area information and the site information into a database, and according to the attribute threshold The database is screened to filter the data into standardized data.

In order to achieve the above object, according to another aspect of an embodiment of the present invention, an apparatus for site selection of a delivery station is provided.

An apparatus for selecting a location of a delivery station includes: a first processing module, configured to perform normalization processing on the obtained existing road area information and the existing site information according to a preset mode to obtain standardized data; The module inputs the standardized data into a preset mathematical model, and uses the road area information to be the location selection scheme.

It is the order quantity of 5 kg to 10 kg which needs to be delivered from the sorting center i to the road area j in the t month, Y _tjk is the indicator variable, and Y _tjk =1 means that the road area in the road area j covers the road area k Otherwise, Y _tjk =0, α is a constant term in the monthly cost equation of the site, α ^l is a constant term in the distribution cost function of the order unit within the weight of 5 kg, and α ^h is a function of the distribution cost of the order unit of 5 kg to 10 kg. The constant term, X _tj is the indicator variable, X _tj =1 means that the station has been established in the road area j at the t month, otherwise X _tj =0, t=0 represents the previous year in December, β ^l is within 5 kg The coefficient of the distribution distance in the order unit distribution cost function, β ^h is the coefficient of the distribution distance in the distribution cost function of the order unit of 5 kg to 10 kg, and d _jk is the distance between the center point of the road area j and the center point of the road area k.

Optionally, the first processing module of the embodiment of the present invention is specifically configured to: store the road area information and the site information into a database, and perform screening from the database according to the attribute threshold, so that the filtered data is standardized data.

In order to achieve the above object, according to still another aspect of an embodiment of the present invention, an electronic device for implementing a method of location selection of a delivery station is provided.

An electronic device according to an embodiment of the present invention includes: one or more processors; storage means for storing one or more programs, when one or more programs are executed by one or more processors, such that one or more The processor implements a method of location selection of a delivery station in an embodiment of the present invention.

In order to achieve the above object, according to still another aspect of an embodiment of the present invention, a computer readable medium is provided.

A computer readable medium according to an embodiment of the present invention, wherein a computer program is stored thereon, and when the program is executed by the processor, the method for addressing the delivery station in the embodiment of the present invention is implemented.

One embodiment of the above invention has the following advantages or advantages: since the parameters of the route and the site and the preset mathematical model are used to carry out the location selection of the distribution station, it is impossible to quickly provide a reliable The technical problems of the location scheme, and then achieve the technical effect of selecting the location of the distribution station based on big data, which is beneficial to improve the work efficiency at the time of site selection; through the processing of big data, the terminal distribution station selection is effectively improved. The effect of the work of the site, while ensuring the quality of service, achieves the purpose of cost-effective layout of the distribution station; by continuously adding machine learning technology to the terminal distribution station location method, the mathematical model is continuously optimized, and a more rational and scientific terminal is provided. The method of site selection for distribution stations.

Further effects of the above-described non-conventional alternatives will be described below in connection with specific embodiments.

DRAWINGS

The drawings are intended to provide a better understanding of the invention and are not intended to limit the invention. among them:

1 is a schematic diagram of main steps of a method for location selection of a delivery station in accordance with an embodiment of the present invention;

2 is a schematic diagram of implementation steps of a method for location selection of a delivery station according to an embodiment of the present invention;

3 is a schematic diagram of a location selection scheme of a relationship between an original station and a sorting center according to an embodiment of the present invention;

4 is a schematic diagram of a location scheme of a relationship between a site and a sorting center according to an embodiment of the present invention;

5 is a schematic diagram of main modules of an apparatus for addressing a delivery station according to an embodiment of the present invention;

6 is a schematic diagram showing the hardware structure of an electronic device for implementing a method for addressing a delivery station according to an embodiment of the present invention.

detailed description

The exemplary embodiments of the present invention are described with reference to the accompanying drawings, and are in the Therefore, it will be apparent to those skilled in the art that various modifications and changes may be made to the embodiments described herein without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The technical solution of the embodiment of the present invention is to obtain all the parameters of each region and the site in the current region, and then input the parameters into the mathematical model that is fitted in advance, and finally calculate the calculated result, thereby achieving The use of big data to integrate all parameters while providing a reliable location solution that guarantees quality of service and operating costs.

1 is a schematic diagram of the main steps of a method of location selection of a delivery station in accordance with an embodiment of the present invention.

As shown in FIG. 1, a method for selecting a location of a distribution station according to an embodiment of the present invention mainly includes the following steps:

Step S11: normalizing the obtained existing road area information and the existing site information according to a preset mode to obtain standardized data. In this step, it is first necessary to obtain the big data of each road area and each station, so as to use the data for subsequent site selection, that is, the existing road area information and the existing site information in the present invention.

In some embodiments, the site corresponds to a plurality of road areas, and the information of the road area includes distance class data and order quantity data, and the information of the site includes latitude and longitude data and financial class data, wherein:

The distance class data includes: distance data from the sorting center to the center point of the road area, distance data between the center points of the road area, and the distance from the sorting center to the station.

The order quantity data includes: the delivery staff distributes the far and near parts, the order quantity of different weight intervals, and the monthly order quantity of the station.

Financial data includes: site rent, vehicle unit price, monthly salary of site management personnel, delivery staff single amount, driver monthly salary, site operation cost, site equipment cost, urban average monthly rent.

Specifically, an explanation is given for the nouns involved in the site and the road area of the present invention, as shown in Table 1 below:

Table 1 Names of sites and roads involved

It should be noted that the acquired road area information and the site information are all assigned. The specific processing process includes: storing the road area information and the site information into the database, and filtering from the database according to the attribute threshold (storage in the database) All the data attributes of the road area information and all the data attributes of the site information, therefore, it is necessary to filter the data attributes in the database, that is, to filter out the data whose assignment matches the attribute threshold), so that the filtered data is standardized data. Here, the standardization process can also establish storage for the basic data warehouse, such as adding, deleting, changing, checking and other basic functions.

Step S12: The standardized data is input into a preset mathematical model, and the output road area information is an address selection scheme. It should be noted that the location selection scheme of the model output may be a specific point or a specific area. In the present invention, the output road area information is used as the location selection scheme, that is, the mathematical model. According to the qualification conditions and input parameters, a score for the road area is obtained. The purpose of the score is to select the recommended road area with the lowest cost within the preconditions (guaranteed the aging and service experience). The road area information is fixed. And existing, according to the output road area information, and then choose to build a station within the road area to achieve the best location to build a station. The mathematical model is based on the data of the existing road area and the existing site, specifically:

In addition, the present invention mainly considers the case where there are a plurality of sorting centers in the current area. If there is only one sorting center in the current area, the above formula can be further simplified. The simplified formula is:

Where d _j is the distance from the sorting center to the road area j, and q _tj is the total number of orders that need to be delivered from the sorting center to the road area j in the t month.

It is the number of orders within 5 kilograms that need to be delivered from the sorting center to the road area j within the weight of 5 kilograms.

It is the order quantity of 5 kg to 10 kg that needs to be delivered from the sorting center to the road area j in the t month.

It should be noted that the technical solution of the embodiment of the present invention is that the standardized data of the station and the road area are sequentially input into the mathematical model, and the obtained output data is also the data of the corresponding station and the road area (in other words, the input is the road area). Information, the output is also the road area information), and then manual intervention, based on these data and the actual situation to determine the final location plan. Of course, in order to get less output data for manual intervention, the smallest of all output data can be taken.

As described above, the location scheme determined in this step may deviate from the actual situation (for example, the location in the preliminary scheme may be on the road or in the riverbed), and therefore, the preliminary scheme needs to be further optimized. Here, we can conduct a feasibility evaluation (ie manual intervention) on the site selection plan and determine the final site selection plan. The factors affecting the feasibility assessment include factors such as travel demand, land use, traffic conditions and service facilities.

In addition, it is also possible to add machine learning technology to the method of location selection of the distribution station, to continuously optimize the mathematical model, and to provide a more rational and scientific method for the location of the terminal distribution station.

2 is a schematic diagram of implementation steps of a method for location of a delivery station in accordance with an embodiment of the present invention.

As can be seen from FIG. 2, the technical solution of the embodiment of the present invention first acquires some big data, mainly including distance class data, operation financial class data, and order quantity data, and processes the data into table conversion; The processed data is input into the mathematical model for program generation, resulting in a site selection scheme that saves both investment costs and covers all areas. In the specific implementation scenario, the distance class data includes: distance data from the sorting center to the center point of the road zone, distance data between the center points of the road zone, and the distance of the station from the sorting center to the site; the order quantity data includes: delivery The staff distributes the quantity of the far and near parts, the order quantity of different weight intervals, and the monthly order quantity of the site; the financial data includes: the site rent, the vehicle unit price, the monthly salary of the station management personnel, the delivery staff single amount, the driver monthly salary, the site operation cost, Site equipment cost, urban average monthly rent. As shown in FIG. 3, it is a schematic diagram of a location scheme of the relationship between the original site and the sorting center according to the embodiment of the present invention. After the technical solution of the embodiment of the present invention is applied, the location scheme shown in FIG. 4 is obtained.

Further, the limitation conditions of the mathematical model in the embodiment of the present invention are as follows:

Table 1 mathematical model constraints

As shown in Table 1, 1a indicates the location of the initial site; 1b indicates that the existing site will not be cancelled before the lease expires; 1c indicates that the number of sites will not be reduced; 1d indicates that each zone is required to be covered by one site; 1e indicates that the road area can only be covered by the road area with the station; 1f and 1j represent variables defining X _tj and Y _tjk as 0-1.

According to the method for selecting a location of a distribution station according to an embodiment of the present invention, since the technical parameters of the location of the distribution station are adopted by using various parameters of the road area and the site and the preset mathematical model, the overcoming of one cannot be quickly provided. The technical problem of reliable location scheme, and then achieve the technical effect of selecting the location of the distribution station based on big data, which is beneficial to improve the work efficiency at the time of site selection; and effectively improve the distribution of terminals through the processing of big data. The effect of the site selection work achieves the goal of cost-effective layout of the distribution station while ensuring the quality of service; continuously optimizes the mathematical model by adding machine learning technology to the terminal distribution station location method, and provides more rational science. The method of location selection of terminal distribution stations.

Figure 5 is a schematic illustration of the main modules of a device for addressing a delivery station in accordance with an embodiment of the present invention.

As shown in FIG. 5, the device 50 for the location of the delivery station in the embodiment of the present invention mainly includes: a first processing module 51 and a second processing module 52. among them:

The first processing module 51 is configured to perform normalization processing on the acquired road area information and the site information according to a preset mode to obtain standardized data.

The second processing module 52 inputs the normalized data into a preset mathematical model to output the result as an addressing scheme.

In the embodiment of the present invention, the site corresponds to multiple road zones, wherein the site information includes distance class data and order quantity data, and the site information includes latitude and longitude data and financial class data.

It should be noted that the mathematical model is based on the data of the existing road area and the site, specifically:

In addition, the first processing module 51 of the embodiment of the present invention is specifically configured to: store the road area information and the site information into a database, and perform screening from the database according to the attribute threshold, so that the filtered data is standardized data.

As can be seen from the above description, because the parameters of the road area and the site and the preset mathematical model are used to carry out the location selection of the distribution station, the technical problem of not being able to quickly provide a reliable site selection solution is overcome. In turn, the technical effect of selecting the location of the distribution station based on big data is achieved, which is beneficial to improving the work efficiency at the time of site selection; by processing the big data, the effect of the site selection work of the terminal is effectively improved. While ensuring the quality of service, the purpose of cost-effective layout of the distribution station is realized; the mathematical model is continuously optimized by adding the machine learning technology to the terminal distribution station location method, and a more rational and scientific method for selecting the terminal of the terminal is provided.

According to an embodiment of the invention, the invention also provides an electronic device and a readable storage medium.

An electronic device of an embodiment of the present invention includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by a processor, the instructions being executed by the at least one processor to enable At least one processor is capable of performing the method of dispatching a station of an embodiment of the present invention.

A computer readable storage medium of the present invention, the computer readable storage medium storing computer instructions for causing the computer to perform a method of addressing a delivery station provided by the present invention.

Referring now to Figure 6, a block diagram of a computer system 600 suitable for use in implementing a terminal device in accordance with an embodiment of the present invention is shown. The terminal device shown in FIG. 6 is merely an example, and should not impose any limitation on the function and scope of use of the embodiments of the present invention.

As shown in FIG. 6, computer system 600 includes a central processing unit (CPU) 601 that can be loaded into a program in random access memory (RAM) 603 according to a program stored in read only memory (ROM) 602 or from storage portion 608. And perform various appropriate actions and processes. In the RAM 603, various programs and data required for the operation of the system 600 are also stored. The CPU 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also coupled to bus 604.

The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, etc.; an output portion 607 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a storage portion 608 including a hard disk or the like. And a communication portion 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the Internet. Driver 610 is also coupled to I/O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like, is mounted on the drive 610 as needed so that a computer program read therefrom is installed into the storage portion 608 as needed.

In particular, according to embodiments of the present disclosure, the processes described by the flowcharts of the main steps above may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method of the flowchart of the main steps. In such an embodiment, the computer program can be downloaded and installed from the network via communication portion 609, and/or installed from removable media 611. When the computer program is executed by the central processing unit (CPU) 601, the above-described functions defined in the system of the present invention are performed.

It should be noted that the computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of computer readable storage media may include, but are not limited to, electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain or store a program, which can be used by or in connection with an instruction execution system, apparatus or device. In the present invention, a computer readable signal medium may include a data signal that is propagated in the baseband or as part of a carrier, in which computer readable program code is carried. Such propagated data signals can take a variety of forms including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the foregoing. The computer readable signal medium can also be any computer readable medium other than a computer readable storage medium, which can transmit, propagate, or transport a program for use by or in connection with the instruction execution system, apparatus, or device. . Program code embodied on a computer readable medium can be transmitted by any suitable medium, including but not limited to wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality and operation of possible implementations of systems, methods and computer program products in accordance with various embodiments of the invention. In this regard, each block of the flowchart or block diagrams can represent a module, a program segment, or a portion of code that includes one or more Executable instructions. It should also be noted that in some alternative implementations, the functions noted in the blocks may also occur in a different order than that illustrated in the drawings. For example, two successively represented blocks may in fact be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams or flowcharts, and combinations of blocks in the block diagrams or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be used A combination of dedicated hardware and computer instructions is implemented.

The modules involved in the embodiments of the present invention may be implemented by software or by hardware. The described modules may also be provided in the processor, for example, as a processor comprising a first processing module and a second processing module. The names of these units do not in any way constitute a limitation on the unit itself.

In another aspect, the present invention also provides a computer readable medium, which may be included in the apparatus described in the above embodiments, or may be separately present and not incorporated in the apparatus. The computer readable medium carries one or more programs. When the one or more programs are executed by the device, the device includes: acquiring the existing road area information and the existing site information according to a preset mode. The standardization process is performed to obtain standardized data; the standardized data is input into a preset mathematical model, and the output road area information is selected as the location plan.

According to the technical solution of the embodiment of the present invention, since the technical parameters of the location of the distribution station are adopted by using various parameters of the road area and the site and the preset mathematical model, the technology that cannot provide a reliable location solution quickly is overcome. The problem, and then achieve the technical effect of selecting the location of the distribution station based on big data, is conducive to improving the work efficiency at the time of site selection; by processing the big data, effectively improving the effect on the location of the terminal distribution station In order to ensure the quality of service, the purpose of cost-effective layout of the distribution station is realized; by continuously adding the machine learning technology to the terminal distribution station location method, the mathematical model is continuously optimized, and a more rational and scientific terminal distribution site is provided. method.

The above specific embodiments do not constitute a limitation of the scope of the present invention. Those skilled in the art will appreciate that a wide variety of modifications, combinations, sub-combinations and substitutions can occur depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims

A method for site selection of a distribution station, comprising:

The obtained existing road area information and the existing site information are standardized according to a preset mode to obtain standardized data;

The normalized data is input into a preset mathematical model, and the output road area information is an address selection scheme.
The method according to claim 1, wherein the site corresponds to a plurality of road areas, wherein the road area information comprises distance class data and order quantity data, and the site information comprises latitude and longitude data and financial class data.
The method according to claim 1, wherein the mathematical model is fitted according to data of an existing road area and an existing station, specifically:

Where ω is the transportation cost from the sorting center to the order unit of the station, d ij is the distance from the sorting center i to the road area j, and q tij is required to be delivered from the sorting center i in the t month The total order quantity of j,
It is the number of orders that need to be delivered within 5 kilograms from the sorting center i in the t-month.
It is the order quantity of 5 kg to 10 kg which needs to be delivered from the sorting center i to the road area j in the t month, Y tjk is the indicator variable, and Y tjk =1 means that the road area in the road area j covers the road area k Otherwise, Y tjk =0, α is a constant term in the monthly cost equation of the site, α l is a constant term in the distribution cost function of the order unit within the weight of 5 kg, and α h is a function of the distribution cost of the order unit of 5 kg to 10 kg. The constant term, X tj is the indicator variable, X tj =1 means that the station has been established in the road area j at the t month, otherwise X tj =0, t=0 represents the previous year in December, β l is within 5 kg The coefficient of the distribution distance in the order unit distribution cost function, β h is the coefficient of the distribution distance in the distribution cost function of the order unit of 5 kg to 10 kg, and d jk is the distance between the center point of the road area j and the center point of the road area k.
The method according to claim 1, wherein the obtained road area information and the site information are standardized according to a preset mode to obtain standardized data, which specifically includes:

The road area information and the site information are stored in a database, and are filtered from the database according to an attribute threshold, so that the filtered data is standardized data.
A device for selecting a location of a distribution station, comprising:

a first processing module, configured to perform normalization processing on the acquired existing road area information and normalize the existing and station information according to a preset mode;

The second processing module inputs the normalized data into a preset mathematical model, and the output road area information is an address selection scheme.
The apparatus according to claim 5, wherein the site corresponds to a plurality of road areas, wherein the road area information comprises distance class data and order quantity data, and the site information comprises latitude and longitude data and financial class data.
The apparatus according to claim 5, wherein said mathematical model is fitted based on data of an existing road area and an existing station, specifically:

Where ω is the transportation cost from the sorting center to the order unit of the station, d ij is the distance from the sorting center i to the road area j, and q tij is required to be delivered from the sorting center i in the t month The total order quantity of j,
It is the number of orders that need to be delivered within 5 kilograms from the sorting center i in the t-month.
It is the order quantity of 5 kg to 10 kg which needs to be delivered from the sorting center i to the road area j in the t month, Y tjk is the indicator variable, and Y tjk =1 means that the road area in the road area j covers the road area k Otherwise, Y tjk =0, α is a constant term in the monthly cost equation of the site, α l is a constant term in the distribution cost function of the order unit within the weight of 5 kg, and α h is a function of the distribution cost of the order unit of 5 kg to 10 kg. The constant term, X tj is the indicator variable, X tj =1 means that the station has been established in the road area j at the t month, otherwise X tj =0, t=0 represents the previous year in December, β l is within 5 kg The coefficient of the distribution distance in the order unit distribution cost function, β h is the coefficient of the distribution distance in the distribution cost function of the order unit of 5 kg to 10 kg, and d jk is the distance between the center point of the road area j and the center point of the road area k.
The device according to claim 5, wherein the first processing module is specifically configured to:

The road area information and the site information are stored in a database, and are filtered from the database according to an attribute threshold, so that the filtered data is standardized data.
An electronic device, comprising:

One or more processors;

a storage device for storing one or more programs,

The one or more programs are executed by the one or more processors such that the one or more processors implement the method of any of claims 1-4.
A computer readable medium having stored thereon a computer program, wherein the program is executed by a processor to implement the method of any of claims 1-4.