KR102061006B1 - Method and apparatus for selecting drone physical distribution location - Google Patents

Abstract

A method of selecting the location of a drone logistics base is disclosed. The method includes specifying a location of at least one base transportation facility included in a city, based on a ratio of urban areas within a predetermined range based on at least one base transportation facility specified, from among the at least one base transportation facility specified. Determining candidate-based transportation facilities, selecting candidate sites exceeding a predetermined area criterion among the matching sites available for drone logistics bases in the determined candidate-based transportation facilities, and based on data standardizing a plurality of evaluation indicator scores. Evaluating the selected candidate site; and selecting the candidate site that passed the evaluation as a drone logistics base when the candidate site that passed the evaluation satisfies a predetermined criterion. Accordingly, the location of the drone logistics base can be effectively selected.

Description

METHOD AND APPARATUS FOR SELECTING DRONE PHYSICAL DISTRIBUTION LOCATION}

The present invention relates to a method of selecting a location of a drone logistics base and an apparatus applying the same.

Drones are a generic term for aircraft or helicopter-type unmanned aerial vehicles (UAVs) capable of flying and maneuvering by radio wave guidance, and have been used in various civilian fields besides military applications since the 2010s. In the case of a flying object that generates lift by the propeller's rotation, such as a helicopter or a drone, the main body rotates in the opposite direction of the propeller's rotation by the reaction of the propeller's rotation. In the case of single rotor helicopters, a tail rotor is needed to solve this problem, but the drone is based on the principle of reversing the rotation of the propellers to counteract the reaction caused by propeller rotation. That is, the drone controls each rotor prop rotation to ascend, ascend, descend, forward, backward, roll right, left and right. Flight mode (roll left), left turn mode (yaw left), right turn mode (yaw right) is possible, and recently, the popularity of toys and remote control (RC) hobby and industrial fields are increasing rapidly.

In 2014, the US Federal Aviation Administration (FAA) announced a policy to regulate commercial drones weighing 25kg, 161km / h, and 152m altitude. In contrast, the US Amazon company aimed at Amazon Prime Air, which delivers goods using drones, and proposed a drone-only airspace and route setting to make drones safer. There are currently 85,000 flights a day in the United States, including airliners, freighters and military aircraft. If drones pour in the next decade, the number of flights is expected to explode, and the number of drones will increase to hundreds of thousands.

As the drone industry develops, it is necessary to construct a drone logistics base that systematically stores the logistics transported by drones, and a method of effectively selecting the location of the drone logistics base will be needed.

On the other hand, the above information is only presented as background information to help the understanding of the present invention. No determination is made as to whether any of the above is applicable as the prior art concerning the present invention, and no claims are made.

Publication No. 10-2017-0080354 (published: 2017.7.10)

The present invention has been made to solve the above-described problems, an embodiment of the present invention proposes a method and apparatus for effectively selecting the location of the drone logistics base.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned above will be clearly understood by those skilled in the art from the following description. Could be.

According to an aspect of the present invention, there is provided a method of selecting a location of a drone logistics base, the method including: specifying a location of at least one base transportation facility included in a city; Determining, from among the at least one specified base transportation facility, a candidate base transportation facility based on a ratio of urban areas within a predetermined range based on the specified at least one base transportation facility: a drone logistics base at the determined candidate base transportation facility Selecting candidate sites exceeding a predetermined area criterion among the available matching sheets; Evaluating the selected candidate site based on data obtained by standardizing a plurality of evaluation indicator scores; And when the candidate site that passed the evaluation satisfies a predetermined criterion, selecting the candidate site that passed the evaluation as a drone logistics base.

Here, when the candidate site that passed the evaluation does not satisfy a predetermined criterion, the method may further include re-determining a candidate base transportation facility among the specified at least one base transportation facility.

In addition, when the candidate site that passed the evaluation fails to perform the logistics transportation throughout the minimum administrative area, it may include the step of excluding the candidate site that passed the evaluation.

In addition, evaluating the selected candidate site is selected based on the slope location score standardization information, the elevation location score standardization information, the distance location score standardization information with the existing development site, and the distance location score standardization information with the surrounding transportation facilities. And evaluating the candidate site.

An apparatus for selecting a location of a drone logistics base according to an embodiment of the present invention may include: a communication unit configured to receive a specific city and base transportation facility information disposed in the specific city; And a candidate base transportation facility is determined based on the ratio of urban areas within a predetermined range based on the base transportation facility, and the candidate site exceeding a predetermined area criterion among the matching sheets available as a drone logistics base in the determined candidate base transportation facility. Selecting and evaluating the selected candidate site based on data standardizing a plurality of evaluation index scores, and if the candidate site that passed the evaluation satisfies a predetermined criterion, the candidate site that passed the evaluation is a drone logistics base. The control module may be selected as.

Here, the control module, while setting the path for the drone to fly around the selected drone logistics base, and set the flight path at different altitudes for the east-west direction and the north-south direction path, respectively in the east-west direction and the north-south direction Also, the paths corresponding to the entrance direction and the exit direction may be set differently.

According to various embodiments of the present invention, the following effects may be derived.

First, since the location of the drone logistics base is automatically performed, the location of the drone logistics base can be selected economically and quickly.

Second, since the location selection of the drone logistics base is systematically determined, the work convenience of city planners can be improved.

Effects obtained in the present invention are not limited to the above-mentioned effects, and other effects not mentioned above may be clearly understood by those skilled in the art from the following description. will be.

1 is a view for explaining a method of selecting the location of the drone logistics base according to an embodiment of the present invention.
Figure 2 is a block diagram showing the configuration of an apparatus for selecting the location of the drone logistics base according to an embodiment of the present invention.
3 and 4 are sequence diagrams showing a method for selecting the location of the drone logistics base according to an embodiment of the present invention.
5 is a view for explaining the setting of the drone flight path according to an embodiment of the present invention.
As described above, the present invention has been illustrated and described with reference to preferred embodiments, but is not limited to the above-described embodiments, and is provided to those skilled in the art without departing from the spirit of the present invention. Various changes and modifications will be possible.

Hereinafter, various embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. However, in describing the present invention, when it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted.

1 is a view for explaining a method of selecting the location of the drone logistics base according to the embodiment, and with reference to the reference numerals of the device 100 for selecting the location of the drone logistics base of FIG.

Referring to Figure 1, the device 100 for selecting the location of the drone logistics base can determine whether the drone logistics base can be constructed in the city AA, in particular where the drone logistics base is most effective in the city AA construction You can judge. Here, city AA may be a city in an administrative district, but in implementation, it may be a city having a wide concept including several cities.

The construction of a drone logistics base in the city AA would have to be merit in terms of transportation and economics. Thus, the device 100 for selecting the location of the drone logistics base may search for the main infrastructure in the city AA. The device 100 for selecting the location of the drone logistics base may have its own infrastructure information, but may collect it from an external map information providing server (eg, BIZGIS). Here, the infrastructure may include roads, railroads, ports, airports, parking lots, car stops, tracks, canals, automobile and construction machinery inspection facilities, automobile and construction machinery driving schools, but embodiments are not limited thereto. .

The infrastructure shown by way of example in FIG. 1 includes a railway station 10, an airport, a highway IC, a highway and a port. At this time, the device 100 for selecting the location of the drone logistics base may form a range with a predetermined radius (R) for each infrastructure. For example, the device 100 for selecting the location of the drone logistics base may set a radius R of 2 to 3 km to form a predetermined range. A predetermined range may be formed to reflect the distance between the city centers.

The device 100 for selecting the location of the drone logistics base may determine the urban area ratio within the radius of the traffic facility. Urban areas are those areas where populations and industries are concentrated or expected to be concentrated, which will systematically develop, maintain, manage and preserve the area. The urban area is the area designated as the marketable land in the urban basic plan, and the area where the development, maintenance, management, and conservation of the marine area was carried out or will be carried out (except Type 2 district unit planning area) according to the urban management plan. Specify. The urban area is one of the "use areas" prescribed by the Law on the Use of the Plan of Land, and is designated as four categories for the provision of residential, commercial and industrial functions and the conservation of green areas. Specifically, residential area refers to the area necessary for the well-being of the living and the protection of the healthy living environment, commercial area refers to the area necessary for the promotion of commerce and other business benefits, and industrial area refers to the area necessary for the enhancement of industrial benefits. In other words, green areas are areas that require the conservation of green areas in order to protect the natural environment, farmland and forests, health and hygiene, security and disorderly spread of the city.

The device 100 for selecting the location of the drone logistics base may determine whether the ratio of urban areas overlaps, and determine a traffic facility area having a large number of overlapping ratios as candidate-based traffic facilities. Here, the overlapping ratio of urban areas may be determined using “Buffer” which is ArcGIS Arctool, but embodiments are not limited thereto.

The apparatus 100 for selecting a location of the drone logistics base may select a candidate site exceeding a predetermined area standard among matching sheets that can be used as the drone logistics base in the determined candidate-based transportation facility. The selected candidate site is evaluated and will be described later.

In addition, the apparatus 100 for selecting the location of the drone logistics base may select the drone logistics base when the candidate site that passed the evaluation satisfies a predetermined condition.

2 is a block diagram illustrating a configuration of an apparatus 100 for selecting a location of a drone logistics base according to an embodiment.

Referring to FIG. 2, the apparatus 100 for selecting a location of a drone logistics base includes a communication unit 110, an urban area overlap determination unit 120, an area determination unit 130, an evaluation index standardization and calculation unit 140, The storage unit 150 and the control module 160 is included. 2 is not essential to implement the apparatus 100 for selecting the location of the drone logistics base, the apparatus 100 for selecting the location of the drone logistics base described herein is the component listed above. It may have more or fewer components.

First, the communication unit 110 is a module that supports wired / wireless communication and mobile communication. The communication unit 110 may communicate with various external servers (for example, a map information server, a traffic facility information server, etc.) and various information included in the Internet. Can be collected. The communication unit 110 uses the National Geographic Information Institute for continuous cadastral maps, digital topographic maps and digital elevation models through the national spatial information portal, urban management planning topographic maps through local governments, and land use status maps through the national spatial information portal. Through the intelligent transportation system management system, the national standard node link can be collected through the land price data notification through the real estate announcement price alert, and the land use plan information through the land use regulation information service.

The urban area overlap determination unit 120 may determine the overlap of the urban area in a predetermined range of the selected traffic facility. For example, the urban area overlap determination unit 120 may determine how much the residential area, commercial area, industrial area, green area, etc. overlap within a predetermined range of a specific transportation facility. It may be effective to have a drone logistics base located near a number of overlapping transportation facilities.

The area determiner 130 may determine whether a matching sheet that can be used as a drone logistics base exceeds a preset reference area range under the control of the control module 160. For example, in the Law on Development and Operation of Logistics Facilities, it is stated that the area of the complex logistics terminal operator is more than 33,000 square meters, and the area determination unit 130 can determine whether the conforming paper is larger than the corresponding area. .

The control module 160 is used for the residential area, the quasi-residential area for the residential area, the central commercial area, the general commercial area, the neighborhood commercial area, the distribution commercial area for the commercial area (all), the general and semi-industrial area for the industrial area, and the green area. In this case, natural green areas (limited to large stores among large stores) and managed areas may be set to include plan management (second type district unit plan) areas, but embodiments are not limited thereto.

The evaluation index standardizing unit and the calculating unit 140 may evaluate whether the drone logistics base is preferably constructed on a matching sheet that satisfies the installation area under the control of the control module 160.

The evaluation index standardization unit and the calculation unit 140 may standardize the evaluation index for each basic data. Basic data can be classified into physical characteristics (terrain), spatial location characteristics (distance), and regional characteristics (ratio) .The physical characteristics can include slope, elevation, numerical elevation model, etc. The distance from the previous development site and the distance from the traffic facility may be included as basic data, and the land price may include the published land price as basic data.

In addition, the basic data may be divided into spatial information and attribute information of the data, and the spatial information may be divided into continuous maps, topographic maps (equivalents, elevations, etc.), and traffic facility location maps having coordinates according to types. The data can be classified into file data with individual published land prices and file data with characteristics of land.

Among the basic data described above, evaluation indices such as inclination, elevation, distance from the development site, etc. may be calculated through fuzzy analysis, and evaluation indicators of distance from traffic facilities may be calculated through gravity analysis. A detailed description will be made with reference to FIG. 4.

The storage unit 150 may store various information according to the control of the control module 160, and the storage unit 150 may be a flash memory type, a hard disk type, or an SSD type. Solid State Disk type, SDD Type (Silicon Disk Drive type), multimedia card micro type, card type memory (e.g. SD or XD memory, etc.), random access memory (RAM), At least one type of static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, and optical disk It may include a storage medium of. The device 100 for selecting the location of the drone logistics base may be operated in connection with a web storage that performs a storage function of the storage unit 160 on the Internet.

The control module 160 is a module for controlling the overall apparatus 100 for selecting the location of the drone logistics base.

Hereinafter, a method of selecting a location of a drone logistics base will be described with reference to FIGS. 3 and 4.

According to FIG. 3, first, the apparatus 100 for selecting the location of the drone logistics base specifies the location of at least one base transportation facility included in the city (S310).

When a proposal for selecting a location for a drone logistics base is requested, an estimated location can be extracted from a traffic facility for location extraction and specified.

Next, the device 100 for selecting the location of the drone logistics base determines the candidate-based traffic facility based on the ratio of urban areas within a predetermined range (S320).

For example, the 2km radius area of the traffic facility is extracted by using the land use status code of the land use status attribute data, and adjacent to the urban area where the drones can deliver the logistics that can be delivered. The area is produced by ranking the transportation facilities in terms of efficiency considering the ratio. According to the ranking of the generated traffic facilities, an area of 2 km radius can be extracted by using the buffer operation function in the first traffic facility.

Then, the apparatus 100 for selecting the location of the drone logistics base selects a candidate site exceeding a predetermined area standard among matching sheets usable as the drone logistics base (S330).

For example, the area extracted from the spatial data may be extracted by performing a buffer operation function from the location coordinates of the main transportation facilities, and an area overlapped with the urban area area may be extracted using the clip spatial calculation function. The overlapped area may be extracted by comparing the overlapped area by using a geometry calculator in the attribute data, and the maximum overlapped area may be extracted as the first location area. In addition, the land use status is selected by using the “Select By Attribute” attribute using the land use status code of the attribute data to determine whether the land in the area of the extracted area is available for the installation of logistics facilities. Paper sheets can be extracted.

4 is a sequence diagram for determining whether a drone logistics base can be constructed by evaluating the matching paper selected by FIG. 3.

According to FIG. 4, the apparatus 100 for selecting the location of the drone logistics base evaluates the selected candidate site based on data obtained by standardizing a plurality of evaluation index scores (S410).

In the standardization method, a fuzzy function and a gravity model function can be applied as a method of assigning a location score to each location site through analysis of evaluation indexes according to each standardization method and proceeding for a constant comparison. As described above, the evaluation index may be basic data or important basic data that are not clearly determined, and in this specification, slope data, elevation, distance from a development site, distance from a traffic facility, and the like may be basic data.

The slope and elevation can be generated by converting the digital elevation model (DEM) into contour lines by using the 3D Anaylst calculation function of the collected digital topographic map and vector elevation data to determine the degree of slope of the extracted location. The generated raster data is extracted by overlapping the location paper extracted through the clip space calculation, and after setting the constant radius area of the slope and elevation through the raster buffer, the raster calculator standardizes the fuzzy analysis function. The location score value can be calculated.

Previously developed lands are divided into urban areas from the use areas, and urban areas can be extracted using land use classification codes from the attribute data of urban management plan topographic maps and land use status maps. Overlapping the location site, the spatial data data can be extracted and standardized location score values can be calculated using fuzzy analysis functions.

The extracted location is a location site which is extracted from an area from a traffic facility which is sequentially reflected, and is affected by the traffic facility. The distance between the traffic facility and the site can be classified into 5 grades according to the ratio, and the value of each grade can be divided by the square of the distance between the traffic facility and the site. have.

The final evaluation site can be extracted by multiplying each of the evaluation index location scores converted from the location scores through standardization analysis of the evaluation indexes.

The valuation site can be extracted as the final drone logistics site location by comparing the site price by multiplying the price by the area of the property data by the price.

The control module 160 may evaluate the inclination, the elevation, and the distance from the development site through Equation 1 below.

[Equation 1]

Here, FR is a purge result value, and has a value between 0 and 1. If the minimum threshold value or the maximum threshold index is set as a percentage, the condition value may also be set as a percentage, and when set as a specific value, the condition value may also be set as a specific value. For example, if the condition value of the slope is 3/2 (1: 1.5, about 60 degrees), the maximum value may be infinity (90 degrees) and the minimum value may be 0 (0 degrees). It can be standardized on a continuous scale of 0-1 using fuzzy functions for physical property indicators (elevation, slope) and spatial location indicators (distance from previous developments).

The control module 160 may standardize the distance from the traffic facility by using Equation 2 below.

[Equation 2]

Here, MF is a gravity result value and may have a value of 0 to 1. For example, the distance between the traffic facility and the extracted site is divided into 5 grades and converted into 100 points, 75 points, 50 points, 25 points, and 0 points. Standardize the score. At this time, the traffic facility means the traffic facility when selecting the location standard, and considering that the distance from the traffic facility is up to 2km, the value of 25 is divided by 0 in order to standardize on a continuous scale from 0-1. Standardize on a scale.

Next, if the candidate site that passed the evaluation satisfies a predetermined criterion (S420), the candidate site that passed the evaluation is selected as the location where the drone logistics base is to be constructed (S430).

Otherwise, the candidate base transportation facility is re-determined and candidate site selection and evaluation are performed again (S440).

Here, the predetermined condition may be whether or not to support the service throughout the minimum administrative area, but the embodiment is not limited thereto.

5 illustrates an apparatus 100 for selecting a location of a drone logistics base for determining a drone route according to an embodiment of the present invention.

First, the device 100 for selecting the location of the drone logistics base is a drone air route area from 300 feet (90 meters, 510) to 1000 feet (300 meters) above the surface of the drone. Can be set.

At this time, the device 100 for selecting the location of the drone logistics base may be given a different height for the east-west direction and the north-south direction around the drone logistics base to enable the drone to fly. In addition, it is possible to assist the drone flight by setting the ascending (outgoing) and downward (entering) areas differently for the east-west direction and the north-south direction, respectively.

Here, the paths in the east-west direction and the north-south direction may be set so that the sky, parks, public lands, and public institutions may be preferentially disposed around ground roads.

Meanwhile, the functional operations and implementations of the subject matter described in this specification may be implemented in digital electronic circuitry, computer software, firmware or hardware including the structures and structural equivalents disclosed herein, or one or more of them. It can be implemented in combination. Implementations of the subject matter described herein may be embodied as one or more modules related to computer program instructions encoded on a program storage medium of tangible type for controlling or by the operation of one or more computer program products, ie control systems. Can be implemented.

The computer readable medium may be a machine readable storage device, a machine readable storage substrate, a memory device, a composition of materials affecting a machine readable propagated signal, or a combination of one or more thereof.

As used herein, the term " device " encompasses all devices, devices, and machines for controlling data, including, for example, programmable processors, computers, or multiple processors or computers. The control system may include, in addition to hardware, code that forms an execution environment for a computer program on demand, such as code constituting processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more thereof. .

Computer programs (also known as programs, software, software applications, scripts, or code) may be written in any form of programming language, including compiled or interpreted languages, or a priori or procedural languages. It can be deployed in any form, including components, subroutines, or other units suitable for use in a computer environment. Computer programs do not necessarily correspond to files in the file system. A program may be in a single file provided to the requested program, in multiple interactive files (eg, a file that stores one or more modules, subprograms, or parts of code), or part of a file that holds other programs or data. (Eg, one or more scripts stored in a markup language document). The computer program may be deployed to run on a single computer or on multiple computers located at one site or distributed across multiple sites and interconnected by a communication network.

Computer-readable media suitable for storing computer program instructions and data, on the other hand, include, for example, semiconductor memory devices such as EPROM, EEPROM, and flash memory devices, such as magnetic disks such as internal hard disks or external disks, magneto-optical disks, and CDs. It may include all types of nonvolatile memory, media and memory devices, including -ROM and DVD-ROM disks. The processor and memory can be supplemented by or integrated with special purpose logic circuitry.

Implementations of the subject matter described herein may include, for example, a backend component such as a data server, or include a middleware component such as, for example, an application server, or a web browser or graphical user, for example, where a user may interact with the implementation of the subject matter described herein. It may be implemented in a computing system that includes a front end component, such as a client computer with an interface, or any combination of one or more of such back end, middleware or front end components. The components of the system may be interconnected by any form or medium of digital data communication such as, for example, a communication network.

Although the specification includes numerous specific implementation details, these should not be construed as limited to any invention or the scope of the claims, but rather as a description of features that may be specific to a particular embodiment of a particular invention. It must be understood. Likewise, certain features described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable subcombination. Furthermore, while the features may operate in a particular combination and may be initially depicted as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, the claimed combination being a subcombination Or a combination of subcombinations.

In addition, although the drawings depict operations in a particular order, it is to be understood that such operations must be performed in the specific order or sequential order shown in order to obtain desirable results or that all illustrated acts must be performed. Can not be done. In certain cases, multitasking and parallel processing may be advantageous. Moreover, the separation of the various system components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and systems will generally be integrated together into a single software product or packaged into multiple software products. Should understand that

As such, this specification is not intended to limit the invention to the specific terms presented. Thus, while the present invention has been described in detail with reference to the above examples, those skilled in the art can make modifications, changes, and variations to the examples without departing from the scope of the invention. The scope of the present invention is shown by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

Claims (6)

In the driving method of the drone logistics base location selection device,
When the location of at least one base transportation facility included in the city is specified by the control module, among the at least one base transportation facility specified, the marketable paper within a predetermined range based on the at least one base transportation facility specified Determining candidate-based transportation facilities based on the proportion of urban areas including those to be implemented or to be developed, maintained, managed, preserved, etc. according to the designated area or urban management plan;
Selecting, by the control module, a candidate site capable of supporting a service throughout a predetermined administrative area among matching sheets available as a drone logistics base in the determined candidate based transportation facility;
Evaluating, by the control module, the selected candidate site based on data obtained by standardizing a plurality of evaluation indicator scores; And
Selecting, by the control module, a candidate site that passed the evaluation as a drone logistics base when the candidate site that passed the evaluation satisfies a predetermined criterion;
The driving method,
Re-determining, by the control module, a candidate base transportation facility among the at least one specified base transportation facilities if the candidate site that passed the evaluation does not satisfy a predetermined criterion;
The step of selecting the candidate site,
Selecting the candidate site having the highest overlapping area of the urban area among the matching sheets as the candidate site,
Evaluating the selected candidate site,
Evaluating the selected candidate site based on the slope location score standardization information, the elevation location score standardization information, the distance location score standardization information from the previous development site, and the distance location score standardization information from the surrounding traffic facilities, and
By the control module, if the candidate site that passed the evaluation fails to perform logistics transportation throughout the minimum administrative area, excluding the candidate site that passed the evaluation;
The control module,
Set the flight path of the drone around the selected drone logistics base, and set the flight path at different altitudes for the east-west direction and the north-south direction, A method of driving a drone logistics base location selection device that sets a corresponding path differently. delete delete delete A communication unit configured to receive a specific city and infrastructure information of the infrastructure disposed in the specific city; And
Candidate base on the basis of the ratio of urban area including the area to be developed, maintained, managed, preserved, etc. according to the urban transportation plan within the designated area or city management plan based on the above-mentioned transportation facilities. Determining the transportation facilities, selecting candidate sites that can support the entire administrative area among the designated sites that can be used as drone logistics bases in the determined candidate-based transportation facilities, and selecting based on the data standardizing the scores of the evaluation indexes. And a control module for evaluating the candidate site, and selecting a candidate site that passed the evaluation as a drone logistics base when the candidate site that passed the evaluation satisfies a predetermined criterion.
The control module,
If the candidate site that passed the evaluation does not meet a predetermined criterion, the candidate base transportation facility is again determined among the at least one specified base transportation facility,
The control module,
The paper with the highest overlapping area of the urban area among the matching papers is selected as the candidate site,
Evaluating the selected candidate site on the basis of the slope location score standardization information, the elevation location score standardization information, the distance location standardization information from the existing development site, and the distance location score standardization information from the surrounding traffic facilities,
The control module,
If a candidate site that passed the assessment fails to carry out logistic transportation throughout the minimum administrative area, the candidate site that passed the assessment shall be excluded,
The control module,
Set the flight path of the drone around the selected drone logistics base, and set the flight path at different altitudes for the east-west direction and the north-south direction, Device for selecting the location of the drone logistics base to set the corresponding path differently.
delete

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