CN115578131B

CN115578131B - Site selection method and device for cross-city target facilities, electronic equipment and storage medium

Info

Publication number: CN115578131B
Application number: CN202211565831.4A
Authority: CN
Inventors: 陈君丽; 岳隽; 单樑; 虞洋; 关文川
Original assignee: Shenzhen Urban Planning And Design Institute Co ltd
Current assignee: Shenzhen Urban Planning And Design Institute Co ltd
Priority date: 2022-12-07
Filing date: 2022-12-07
Publication date: 2023-08-25
Anticipated expiration: 2042-12-07
Also published as: CN115578131A

Abstract

The application provides a method and a device for selecting addresses of target facilities across the ground, electronic equipment and a storage medium, belonging to the technical field of city planning, wherein the method for selecting the addresses comprises the following steps: if the first behavior information indicates that the first participant agrees to provide the land for the initial site selection data, and/or the second behavior information indicates that the second participant agrees to provide the land for the initial site selection data, calculating first and second site cost data, first and second construction cost data and first and second transportation cost data, determining first target benefit data according to the first site cost data, the first construction cost data and the first transportation cost data, determining second target benefit data according to the second site cost data, the second construction cost data and the second transportation cost data, calculating third and fourth target benefit data, and screening a plurality of initial site selection data according to the first, second, third and fourth target benefit data to obtain target site selection data, thereby improving the rationality of site selection of the target facility.

Description

Site selection method and device for cross-city target facilities, electronic equipment and storage medium

Technical Field

The present application relates to the field of urban planning technologies, and in particular, to a method and apparatus for locating a target facility across a city, an electronic device, and a storage medium.

Background

In the related art, most of facility site selection modes are usually based on acceptance of public to facilities, and the principle of the site selection modes is simple, but the problems of unreasonable site selection of the facilities are often caused, meanwhile, at present, no method can scientifically realize co-construction of the facilities across the ground, so how to provide a site selection method across the ground and improve the site selection rationality of the facilities becomes a problem to be solved urgently.

Disclosure of Invention

The embodiment of the application mainly aims to provide a method and a device for selecting addresses of target facilities across the ground, electronic equipment and a storage medium, and aims to improve the rationality of facility address selection.

In order to achieve the above object, a first aspect of an embodiment of the present application provides a method for selecting a site of a target facility across a city, where the method includes:

acquiring a plurality of initial address data of a target facility, wherein each initial address data comprises an initial address, and the target facility is used for garbage disposal;

Acquiring first behavior information of a first participant on the initial address data and second behavior information of a second participant on the initial address data;

if the first behavior information indicates that the first participant agrees to provide the land for the initial site selection data, and/or the second behavior information indicates that the second participant agrees to provide the land for the initial site selection data, calculating first land cost data of the first participant and second land cost data of the second participant according to a preset land cost coefficient; the first local cost data are cost data obtained by the first participant according to the first behavior information; the second land cost data are cost data obtained by the second participant according to the second behavior information;

calculating first construction cost data of the first participant and second construction cost data of the second participant according to a preset construction cost coefficient; the first construction cost data is cost data of the first participant for constructing the target facility according to the initial address, and the second construction cost data is cost data of the second participant for constructing the target facility according to the initial address;

Calculating first transportation cost data and second transportation cost data according to a preset transportation cost coefficient; wherein the first transportation cost data is cost data of a first participant transporting a first target object from a third participant to the initial address; the second transportation cost data is cost data of a second participant for transporting a second target object from a fourth participant to the initial address;

determining first target revenue data for the first participant based on the first land cost data, the first construction cost data, and the first transportation cost data, and determining second target revenue data for the second participant based on the second land cost data, the second construction cost data, and the second transportation cost data;

calculating third target revenue data of the target facility for the third party, and calculating fourth target revenue data of the target facility for the fourth party;

and screening the plurality of initial address selection data according to the first target income data, the second target income data, the third target income data and the fourth target income data to obtain target address selection data, wherein the target address selection data comprises a target address for setting the target facility.

In some embodiments, the determining the first target revenue data for the first participant from the first location cost data, the first construction cost data, and the first transportation cost data comprises:

performing environment compensation profit calculation according to the first behavior information, the second behavior information, a preset first profit parameter, a preset first processing speed parameter and a preset second processing speed parameter to obtain first initial profit data; the first processing speed parameter is the speed of the first participant to process the first target object, and the second processing speed parameter is the speed of the second participant to process the second target object;

generating electricity according to a preset second benefit parameter and the first processing speed parameter to obtain second initial benefit data;

and performing first target profit calculation according to the first initial profit data, the second initial profit data, the first land cost data, the first construction cost data and the first transportation cost data to obtain first target profit data.

In some embodiments, the determining second target revenue data for the second party based on the second land cost data, the second construction cost data, and the second transportation cost data includes:

Performing environment compensation profit calculation according to the first behavior information, the second behavior information, the first profit parameter, the first processing speed parameter and the second processing speed parameter to obtain third initial profit data; wherein the third initial revenue data is the opposite number of the first initial revenue data;

generating electricity according to the second benefit parameter and the second processing speed parameter to obtain fourth initial benefit data;

and performing second target profit calculation according to the third initial profit data, the fourth initial profit data, the second land cost data, the second construction cost data and the second transportation cost data to obtain second target profit data of the second participant.

In some embodiments, the obtaining the plurality of initial addressing data for the target facility includes:

acquiring initial vector data of an initial area;

performing graph construction according to the initial vector data to obtain a grid vector data graph;

performing attribute selection on the grid vector data graph according to preset data attributes to obtain a plurality of candidate grids;

and screening the candidate grids according to preset screening parameters to obtain a plurality of initial address selection data.

In some embodiments, the initial vector data includes initial land type vector data, public facility vector data, traffic facility vector data, and residential point vector data, and the constructing a graph according to the initial vector data to obtain a grid vector data graph includes:

screening the initial land type vector data according to a preset land utilization type to obtain target land type vector data;

acquiring address text data of a target facility;

performing semantic analysis on the address text data to obtain address rule data of the target facility;

respectively constructing buffer areas of the public facility vector data, the traffic facility vector data and the resident point vector data according to the address selection rule data to obtain first buffer area data corresponding to the public facility vector data, second buffer area data corresponding to the traffic facility vector data and third buffer area data corresponding to the resident point vector data;

and constructing a graph according to the target land type vector data, the first buffer zone data, the second buffer zone data and the third buffer zone data to obtain the grid vector data graph.

In some embodiments, calculating third target revenue data for the target facility for the third party includes:

acquiring area planning vector data of an initial area and resident grid data of the initial area, and converting the resident grid data into first resident vector data;

carrying out superposition processing on the regional planning vector data and the first resident vector data to obtain combined vector data;

cutting the combined vector data according to preset precision to obtain second resident vector data; wherein the accuracy of the second resident vector data is greater than the accuracy of the first resident vector data;

acquiring the total number of residents covered by the target facility;

determining distance data between the third party and the target facility according to the total number of residents and the second resident vector data;

and carrying out target profit calculation according to a preset third profit coefficient and the distance data to obtain third target profit data.

In some embodiments, the filtering the plurality of initial addressing data according to the first target revenue data, the second target revenue data, the third target revenue data and the fourth target revenue data to obtain target addressing data includes:

Summing up and calculating the third target income data and the fourth target income data to obtain resident income data;

and screening the plurality of initial site selection data according to the first target income data, the second target income data and the resident income data to obtain target site selection data.

In order to achieve the above object, a second aspect of the embodiments of the present application provides an address selecting device for a cross-city target facility, where the address selecting device includes:

the first acquisition module is used for acquiring a plurality of initial address data of a target facility, wherein each initial address data comprises an initial address, and the target facility is used for garbage disposal;

the second acquisition module is used for acquiring first behavior information of the first participant on the initial address selection data and second behavior information of the second participant on the initial address selection data;

a land cost calculation module, configured to calculate first land cost data of the first participant and second land cost data of the second participant according to a preset land cost coefficient if the first behavior information indicates that the first participant agrees to provide a land for the initial address data and/or the second behavior information indicates that the second participant agrees to provide a land for the initial address data; the first local cost data are cost data obtained by the first participant according to the first behavior information; the second land cost data are cost data obtained by the second participant according to the second behavior information;

The construction cost calculation module is used for calculating first construction cost data of the first participant and second construction cost data of the second participant according to a preset construction cost coefficient; the first construction cost data is cost data of the first participant for constructing the target facility according to the initial address, and the second construction cost data is cost data of the second participant for constructing the target facility according to the initial address;

the transportation cost calculation module is used for calculating first transportation cost data and second transportation cost data according to a preset transportation cost coefficient; wherein the first transportation cost data is cost data of a first participant transporting a first target object from a third participant to the initial address; the second transportation cost data is cost data of a second participant for transporting a second target object from a fourth participant to the initial address;

a first profit calculation module configured to determine first target profit data for the first participant according to the first land cost data, the first construction cost data, and the first transportation cost data, and determine second target profit data for the second participant according to the second land cost data, the second construction cost data, and the second transportation cost data;

The second profit calculation module is used for calculating third target profit data of the target facility to the third participant and calculating fourth target profit data of the target facility to the fourth participant;

the screening module is used for screening the plurality of initial address selection data according to the first target income data, the second target income data, the third target income data and the fourth target income data to obtain target address selection data, and the target address selection data comprises a target address for setting the target facility.

To achieve the above object, a third aspect of the embodiments of the present application proposes an electronic device, including a memory storing a computer program and a processor implementing the method according to the first aspect when the processor executes the computer program.

To achieve the above object, a fourth aspect of the embodiments of the present application proposes a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method of the first aspect.

According to the site selection method of the cross-city target facility, the site selection device of the cross-city target facility, the electronic equipment and the computer readable storage medium, the first behavior information of the first party on the initial site selection data and the second behavior information of the second party on the initial site selection data are obtained through obtaining a plurality of initial site selection data of the target facility, if the first behavior information indicates that the first party agrees to provide a land for the initial site selection data, and/or the second behavior information indicates that the second party agrees to provide a land for the initial site selection data, the first cost data of the first party and the second cost data of the second party are calculated according to the preset cost coefficients of land, the first cost data of the first party and the second cost data of the second party are calculated according to the preset cost coefficients of construction, the first cost data of transportation and the second cost data of the second party are calculated according to the preset cost coefficients of transportation, the first cost data of transportation and the first party are determined according to the first cost coefficients of transportation, the first cost data of the first party and the first party can be calculated according to the first cost coefficient of land, the second cost and the second cost coefficient of construction, the income of the second party can be increased, and the cost of construction can be increased, and the income of the second party can be increased according to the cost of the first cost and the second cost of construction, and the cost of interest of the second cost of construction can be increased. When the first behavior information and the second behavior information both indicate that each participant agrees to provide land for the initial site selection data, the description is site selection of the cross-ground city, and site selection is carried out among a plurality of cities related to the cross-ground city according to the income data, so that the rationality of site selection of the cross-ground city can be improved. Further, third target revenue data of a third participant by the target facility are calculated, fourth target revenue data of a fourth participant by the target facility are calculated, and a plurality of initial site selection data are screened according to the first target revenue data, the second target revenue data, the third target revenue data and the fourth target revenue data to obtain target site selection data.

Drawings

FIG. 1 is a flow chart of a method for locating a cross-municipality target facility provided by an embodiment of the application;

fig. 2 is a flowchart of step S110 in fig. 1;

fig. 3 is a flowchart of step S220 in fig. 2;

fig. 4 is a first flowchart of step S160 in fig. 1;

fig. 5 is a second flowchart of step S160 in fig. 1;

fig. 6 is a flowchart of step S170 in fig. 1;

fig. 7 is a flowchart of step S180 in fig. 1;

FIG. 8 is a schematic structural diagram of a site selection apparatus for a cross-city target facility according to an embodiment of the present application;

fig. 9 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.

In the related art, most of facility site selection modes are usually based on acceptance of public to facilities, and the principle of the site selection modes is simple, but the problems of unreasonable site selection of the facilities are often caused, meanwhile, at present, no method can scientifically realize co-construction of the facilities across the ground, so that how to provide a site selection method and improve the site selection rationality of the facilities becomes a problem to be solved urgently.

Based on the above, the embodiment of the application provides a method for selecting a site of a target facility across the ground city, a device for selecting the site of the target facility across the ground city, electronic equipment and a computer readable storage medium, aiming at improving the rationality of site selection of the facility.

The embodiment of the application provides a method for selecting an address of a cross-city target facility, an address selecting device of the cross-city target facility, electronic equipment and a computer readable storage medium, and specifically, the following embodiment is used for explaining, firstly, the method for selecting the address of the cross-city target facility in the embodiment of the application.

The embodiment of the application provides a site selection method of a cross-city target facility, and relates to the technical field of city planning. The site selection method of the cross-city target facility provided by the embodiment of the application can be applied to a terminal, a server side and software running in the terminal or the server side. In some embodiments, the terminal may be a smart phone, tablet, notebook, desktop, etc.; the server side can be configured as an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligent platforms and the like; the software may be an application or the like that implements a site selection method for a target facility across the earth city, but is not limited to the above form.

The application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

Fig. 1 is an optional flowchart of a method for selecting a site of a cross-market target facility according to an embodiment of the present application, where the method in fig. 1 may include, but is not limited to, steps S110 to S180.

Step S110, a plurality of initial address data of a target facility are obtained, each initial address data comprises an initial address, and the target facility is used for garbage disposal;

step S120, obtaining first behavior information of a first participant on initial address selection data and second behavior information of a second participant on the initial address selection data;

step S130, if the first behavior information indicates that the first participant agrees to provide the land for the initial address data, and/or the second behavior information indicates that the second participant agrees to provide the land for the initial address data, calculating first land cost data of the first participant and second land cost data of the second participant according to a preset land cost coefficient; the first local cost data are cost data obtained by a first participant according to first behavior information; the second land cost data is cost data obtained by the second participant according to the second behavior information;

step S140, calculating first construction cost data of a first participant and second construction cost data of a second participant according to a preset construction cost coefficient; the first construction cost data is cost data of a first participant for constructing a target facility according to an initial address, and the second construction cost data is cost data of a second participant for constructing the target facility according to the initial address;

Step S150, calculating first transportation cost data and second transportation cost data according to a preset transportation cost coefficient; the first transportation cost data is cost data of a first participant for transporting a first target object from a third participant to an initial address; the second transportation cost data is cost data of the second participant for transporting the second target object from the fourth participant to the initial address;

step S160, determining first target profit data of the first participant according to the first land cost data, the first construction cost data and the first transportation cost data, and determining second target profit data of the second participant according to the second land cost data, the second construction cost data and the second transportation cost data;

step S170, calculating third target profit data of the target facilities to the third party and fourth target profit data of the target facilities to the fourth party;

step S180, screening the plurality of initial address selection data according to the first target profit data, the second target profit data, the third target profit data and the fourth target profit data to obtain target address selection data, wherein the target address selection data comprises a target address for setting target facilities.

In the steps S110 to S180 illustrated in the embodiments of the present application, by acquiring a plurality of initial site selection data of a target facility, first behavior information of the first party on the initial site selection data and second behavior information of the second party on the initial site selection data are acquired, if the first behavior information indicates that the first party agrees to provide a land for the initial site selection data and/or the second behavior information indicates that the second party agrees to provide a land for the initial site selection data, first land cost data of the first party and second land cost data of the second party are calculated according to a preset land cost coefficient, first construction cost data of the first party and second construction cost data of the second party are calculated according to a preset construction cost coefficient, first transportation cost data and second transportation cost data are calculated according to a preset transportation cost coefficient, first target data of the first party is determined according to the first land cost data, the first construction cost data and the first transportation cost data, and/or second target cost data of the second party agrees to provide a land for the initial site selection data, the second land gain and the second cost data of the second party is calculated according to a preset construction cost coefficient, the first cost coefficient of the first party and second party cost data of the second party can be calculated, and the second cost of the second party can be increased, and the benefit of the first party and the second party can be increased, and the second cost and the second party can be increased according to the cost and the benefit of the second cost and the second cost. When the first behavior information and the second behavior information both indicate that each participant agrees to provide land for the initial site selection data, the description is site selection of the cross-city, and site selection of target facilities is performed among a plurality of cities related to the cross-city according to the income data, so that the rationality of site selection of the cross-city area can be improved. Further, third target revenue data of a third participant by the target facility are calculated, fourth target revenue data of a fourth participant by the target facility are calculated, and a plurality of initial site selection data are screened according to the first target revenue data, the second target revenue data, the third target revenue data and the fourth target revenue data to obtain target site selection data.

Referring to fig. 2, in some embodiments, step S110 may include, but is not limited to, steps S210 to S240:

step S210, obtaining initial vector data of an initial area;

step S220, constructing a graph according to the initial vector data to obtain a grid vector data graph;

step S230, selecting the attribute of the grid vector data graph according to the preset data attribute to obtain a plurality of candidate grids;

step S240, screening the candidate grids according to preset screening parameters to obtain a plurality of initial address selection data.

In step S210 of some embodiments, the initial area may be two or more areas, the initial vector data is vector data in a grid form, and the initial vector data includes land type vector data, public facility vector data, traffic facility vector data, and residential point vector data of the two or more areas.

In step S220 of some embodiments, a layer construction is performed according to initial vector data of two or more regions, resulting in a grid vector data layer, where the grid vector data layer includes a plurality of grid vector data graphs, and the grid vector data graphs include an attribute table.

In step S230 of some embodiments, a data attribute obtained by selecting a user from an attribute table is obtained, attribute selection is performed on a plurality of grids in the grid vector data graph according to the data attribute, grids which do not accord with the data attribute are removed, grids which accord with the data attribute are used as candidate grids, wherein the data attribute is a land parcel attribute and is used for representing a land parcel function, the data attribute can be different land parcel functions of a residential site, a school, a hospital, an airport and the like, and each candidate grid corresponds to one land parcel of an initial area.

In step S240 of some embodiments, the candidate grids are further screened by screening parameters, to obtain target grids, where the target grids are used as initial site selection data of a target facility, the screening parameters may be a land scale of the target facility, a distance between the target facility and a road, a distance between the target facility and a residential point, and a garbage disposal speed, and the target facility may be a garbage disposal power generation facility.

And step S210 to step S240, the grids are screened through the data attribute and the screening parameter, so that initial address data meeting the screening requirement can be obtained, and the accuracy and the rationality of the initial address data of the transregional target facilities are improved.

Referring to fig. 3, in some embodiments, the initial vector data includes initial land type vector data, public facility vector data, traffic facility vector data, and residential point vector data, and step S220 may include, but is not limited to, steps S310 to S350:

step S310, screening the initial land type vector data according to a preset land utilization type to obtain target land type vector data;

step S320, obtaining address text data of a target facility;

s330, performing semantic analysis on the address text data to obtain address rule data of the target facility;

step S340, buffer area construction is carried out on the public facility vector data, the traffic facility vector data and the resident point vector data according to the address selection rule data, so as to obtain first buffer area data corresponding to the public facility vector data, second buffer area data corresponding to the traffic facility vector data and third buffer area data corresponding to the resident point vector data;

and step S350, performing graph construction according to the target land type vector data, the first buffer zone data, the second buffer zone data and the third buffer zone data to obtain a grid vector data graph.

In step S310 of some embodiments, the preset land use types may be cultivated land, wet land and water, the initial land type vector data is eight kinds of land use type data, and three kinds of land use type data of cultivated land, wet land and water are selected from the eight kinds of land use type data as target land type vector data. If the land use type data is raster data, the raster data is converted into raster vector data.

In step S320 of some embodiments, address text data of the target facility is acquired, wherein the address text data may be address request text or address request text.

In step S330 of some embodiments, semantic analysis is performed on the address text data to obtain text keywords, query processing is performed on the address text data according to the text keywords, and address rule data to be located to a target facility is located, where the address rule data includes suitable address selection, unsuitable address selection, specific address selection requirements, and the like of the target facility, for example, the target facility should not be set in an area within 3km from a certain public facility, and a distance from the target facility to a certain residential point should not be less than 300m, and the like.

In some embodiments, in step S340, the first buffer data is address data in the public facility buffer, the second buffer data is address data in the traffic facility buffer, and the third buffer data is address data in the residential point buffer. Different buffer areas are respectively established for different buffer objects such as public facility vector data, traffic facility vector data, resident point vector data and the like according to the address selection rule data, buffer area data is obtained, and the address selection data which does not accord with the address selection rule data is eliminated by establishing the buffer areas, wherein the public facility vector data comprises point public facility vector data and plane public facility vector data, and can be hospital vector data, school vector data, fire station vector data and the like, and the traffic facility vector data can be airport vector data, parking apron vector data and the like. Taking public facility vector data as an example, if the target facility of the address rule data is not set within 3km from the public facility, a buffer area is established with the public facility as the center and with the buffer distance of 3km as the buffer distance. Taking a residential point as an example, if the distance from the target facility to the residential point by taking the location rule data as the target facility is not smaller than 300m, a buffer area is built by taking the residential point as the center and taking 300m as the buffer distance.

The residential point vector data may be obtained by acquiring residential point planar data, specifically, acquiring residential point planar data, performing a surface turning operation on the residential point planar data to obtain residential point data, and using the residential point data as the residential point vector data.

In step S350 of some embodiments, first buffer data is removed from public facility vector data to obtain first residual vector data, second buffer data is removed from traffic facility vector data to obtain second residual vector data, third buffer data is removed from residential point vector data to obtain third residual vector data, and graph construction is performed according to target land type vector data, the first residual vector data, the second residual vector data and the third residual vector data to obtain a grid vector graph, wherein the first residual vector data is region data which accords with address selection rule data in the public facility vector data, the second residual vector data is region data which accords with address selection rule data in the traffic facility vector data, and the third residual vector data is region data which accords with address selection rule data in the residential point vector data.

In the steps S310 to S350, different buffer areas are established for different buffer objects, so that the address selecting area can be screened according to the buffer areas, and address selecting data conforming to the address selecting rule data can be obtained.

In step S120 of some embodiments, first behavior information of the first party on the initial address data and second behavior information of the second party on the initial address data are obtained, wherein the first behavior information is a behavior policy of the first party on the initial address data, including both a behavior and a non-behavior, and the second behavior information is a behavior policy of the second party on the initial address data, including both a behavior and a non-behavior. If the first participant selects action, the first action information is 1, which indicates that the first participant agrees to provide land for the initial address data; if the first party chooses not to act, the first behavior information is 0, indicating that the first party refuses to provide the land for the initial addressing data. The second behavior information is the same as the first behavior information, and is not described here again.

In step S130 of some embodiments, if the first behavior information indicates that the first party agrees to provide the land for the initial addressing data, and/or the second behavior information indicates that the second party agrees to provide the land for the initial addressing data, that is, the combination of the first behavior information and the second behavior information is (1, 1) (1, 0) and (0, 1), it is indicated that at least one of the first party and the second party agrees to provide the land for the initial addressing data, the first land cost data of the first party and the second land cost data of the second party are calculated according to the land cost coefficient. It should be noted that the payment function may be constructed according to the land cost coefficient, and the first land cost data and the second land cost data may be calculated according to the payment function.

Specifically, the first behavior information is 1, the second behavior information is 0, which indicates that the target facility is built in the area where the first participant is located, the first participant pays the land cost, and the second participant does not need to pay the land cost. The cost coefficient of land is the ratio of the average reference land price of the participants to the actual use time of the land, expressed asThe first party provides a land size of +.>The first land cost data is +.>c/day, the second land cost data is 0 c/day, where c is the unit of measure of the payment function.

The first behavior information is 1, the second behavior information is 1, which indicates that the target facility is built in the area where the first participant is located, and the target facility is built in the area where the second participant is located, namely, the site selection of the target facility is carried out among a plurality of cities in a cross-region mode, the first participant and the second participant pay the land cost, and the first land cost data of the first participant is thatc/day, ifThe second party provides a land size of +.>The second usage cost data of the second party is +.>c/day.

The first behavior information is 0, the second behavior information is 1, which indicates that the target facility is built in the area where the second party is located, the second party pays the land cost, the first party does not need to pay the land cost, and the second land cost data is that c/day, the first land cost data is 0 c/day.

If the first behavior information is 0 and the second behavior information is 0, it is indicated that the first participant and the second participant both refuse to provide the land for the initial address selection data, the first participant and the second participant cannot build the target facility together, the address selection fails, and no subsequent operation is performed.

In step S140 of some embodiments, construction cost calculation is performed according to a preset construction cost coefficient and a preset first processing speed parameter, so as to obtain first construction cost data of a first participant, construction cost calculation is performed according to a preset construction cost coefficient and a preset second processing speed parameter, so as to obtain second construction cost data of a second participant, wherein the construction cost coefficient is an average construction cost of a construction target facility, the first processing speed parameter is a speed of the first participant in processing a first target object, that is, a speed of the target facility in processing garbage of the first participant in one day, and the second processing speed parameter is a speed of the second participant in processing garbage of the second target object, that is, a speed of the target facility in processing garbage of the second participant in one day. The construction cost is independent of whether the land is provided or not, that is, the construction cost is independent of the first behavior information of the first participant and the second behavior information of the second participant.

If the construction cost coefficient is expressed asc/day, the first processing speed parameter is expressed as +.>Ton/day, the second process speed parameter is expressed as +.>Ton/day, constructing a payment function according to the construction cost coefficient, the first processing speed parameter and the second processing speed parameter, wherein the payment function is shown in a formula (1):

wherein, the liquid crystal display device comprises a liquid crystal display device,for the first construction cost data, < >>Is the second construction cost data.

In step S150 of some embodiments, the third party is all residents of the area in which the first party is located, and the fourth party is all residents of the area in which the second party is located. First transportation cost data of the first participant and second transportation cost data of the second participant are calculated according to the transportation cost coefficient and the transportation distance. It should be noted that the transportation cost is independent of whether or not the land is provided, that is, the transportation cost is independent of the first behavior information of the first participant and the second behavior information of the second participant. Specifically, a payment function is constructed according to the transportation cost coefficient and the total transportation distance, and the payment function is shown in a formula (2):

wherein, the liquid crystal display device comprises a liquid crystal display device,for the first transportation cost data, < >>For the second transportation cost data, < > and >>For the transport cost factor, the unit is +.>，/>For the distance between the point of residence of the third party and the target facility- >The unit of the total transportation distance is kilometers for the distance between the residential point where the fourth party is located and the target facility.

Referring to fig. 4, in some embodiments, step S160 may include, but is not limited to, steps S410 to S430:

step S410, performing environment compensation profit calculation according to the first behavior information, the second behavior information, the preset first profit parameter, the preset first processing speed parameter and the preset second processing speed parameter to obtain first initial profit data; the first processing speed parameter is the speed of the first participant to process the first target object, and the second processing speed parameter is the speed of the second participant to process the second target object;

step S420, generating revenue calculation is carried out according to a preset second revenue parameter and a preset first processing speed parameter, and second initial revenue data are obtained;

step S430, performing first target profit calculation according to the first initial profit data, the second initial profit data, the first land cost data, the first construction cost data and the first transportation cost data to obtain first target profit data.

In step S410 of some embodiments, the environmental compensation benefit is a benefit of processing garbage in one area with a garbage disposal terminal in another area. Determining a processing speed parameter according to the first behavior information and the second behavior information, constructing a payment function according to the first benefit parameter and the processing speed parameter, and performing environment compensation benefit calculation to obtain first initial benefit data, wherein the first benefit parameter is an environment compensation benefit coefficient, and the unit is c/ton. The payment function is shown in equation (3):

/>

Specifically, if the first behavior information is 1 and the second behavior information is 0, the garbage of the fourth party is processed by using the target facility built in the area where the first party is located, and the second party needs to pay the environmental compensation fee to the first party, the processing speed parameter is determined to be the second processing speed parameter, and the processing speed parameter is determined to be the second processing speed parameter according to the first profit parameterSecond processing speed parameterPerforming environment compensation profit calculation to obtain first initial profit data of the first party>Is->。

If the first behavior information is 0 and the second behavior information is 1, the garbage of the third party is processed by utilizing the target facility built in the area where the second party is located, and the first party needs to pay the environmental compensation fee to the second party, the processing speed is determinedThe degree parameter is a first processing speed parameter, and is according to a first benefit parameterFirst processing speed parameter->Performing environment compensation profit calculation to obtain first initial profit data of the first party>Is->。

If the first behavior information is 1 and the second behavior information is 1, it is indicated that the first participant can locally process the garbage of the third participant in the area where the first participant is located, the second participant can locally process the garbage of the fourth participant in the area where the second participant is located, and the first initial profit data of the first participant is 0.

In step S420 of some embodiments, the second benefit parameter is a benefit of garbage disposal power generation per unit mass, in c/ton. The calculation of the second benefit parameter is shown in equation (4):

D ₂ =generated energy per ton of garbage× (1-garbage disposal electric quantity consumption ratio) ×local electricity price (4)

Will second benefit parameter D ₂ And a first processing speed parameterAnd multiplying to perform generation gain calculation to obtain second initial gain data of the first party. The second initial benefit data is independent of whether the land is provided or not, and is related to the garbage disposal power consumption proportion and the area power price.

In step S430 of some embodiments, the first initial revenue data and the second initial revenue data are summed to obtain revenue data for the first participant, and the revenue data is subtracted from the first land cost data, the first construction cost data, and the first transportation cost data to perform a first target revenue calculation to obtain first target revenue data for the first participant.

Specifically, if the first behavior information and the second behavior information are both 1, the first initial benefit data is 0, and the second initial benefit data isThe first land cost data is +.>The first construction cost data is +. >The first transportation cost data is +.>The first target revenue data is: />。

If the first behavior information is represented as 1 and the second behavior information is represented as 0, the first initial profit data isThe second initial benefit data is +.>The first land cost data is +.>The first construction cost data is +.>The first transportation cost data is +.>The first target revenue data is:。

if the first behavior information is represented as 0 and the second behavior information is represented as 1, the first initial profit data isThe second initial benefit data is +.>The first land cost data is 0, and the first construction cost data is +.>The first transportation cost data is +.>The first target revenue data is: />。

The steps S410 to S430 described above perform the first target profit calculation by the first initial profit data, the second initial profit data, the first land cost data, the first construction cost data, and the first transportation cost data, so that the profit brought to the first participant in the initial address for establishing the target facility can be accurately quantified, and the rationality of establishing the target facility at the initial address can be measured according to the first target profit data.

Referring to fig. 5, in some embodiments, step S160 may further include, but is not limited to, steps S510 to S530:

Step S510, performing environmental compensation profit calculation according to the first behavior information, the second behavior information, the first profit parameter, the first processing speed parameter and the second processing speed parameter to obtain third initial profit data; wherein the third initial revenue data is the opposite number of the first initial revenue data;

step S520, generating electricity according to the second benefit parameter and the second processing speed parameter to obtain fourth initial benefit data;

step S530, performing second target profit calculation according to the third initial profit data, the fourth initial profit data, the second land cost data, the second construction cost data and the second transportation cost data to obtain second target profit data of the second participant.

In step S510 of some embodiments, a processing speed parameter is determined according to the first behavior information and the second behavior information, and a payment function as shown in formula (3) is constructed according to the first benefit parameter and the processing speed parameter, so as to perform an environmental compensation benefit calculation, and obtain third initial benefit data.

Specifically, if the first behavior information is 1 and the second behavior information is 0, the garbage of the fourth party is processed by using the target facility built in the area where the first party is located, and the second party needs to pay the environmental compensation fee to the first party, the processing speed parameter is determined to be the second processing speed parameter, and the processing speed parameter is determined to be the second processing speed parameter according to the first profit parameter And a second processing speed parameter->Performing environment compensation profit calculation to obtain third initial profit data of the second party as +.>。

If the first behavior information is 0 and the second behavior information is 1, the garbage of the third party is processed by utilizing the target facility built in the area where the second party is located, and the first party needs to pay the environmental compensation fee to the second party, the processing speed parameter is determined to be a first processing speed parameter, and the processing speed parameter is determined to be a first processing speed parameter according to the first profit parameterAnd a first processing speed parameter->Performing environment compensation profit calculation to obtain third initial profit data of the second party as +.>。

If the first behavior information is 1 and the second behavior information is 1, it is indicated that the first participant can locally process the garbage of the third participant in the area where the first participant is located, the second participant can locally process the garbage of the fourth participant in the area where the second participant is located, and the third initial profit data of the second participant is 0.

In step S520 of some embodiments, a second benefit parameter D ₂ And a second processing speed parameterAnd multiplying to perform generation gain calculation to obtain fourth initial gain data of the second party.

In step S530 of some embodiments, the third initial revenue data and the fourth initial revenue data are summed to obtain revenue data for the second party, and the revenue data is subtracted from the second land cost data, the second construction cost data, and the second transportation cost data to perform a second target revenue calculation to obtain second target revenue data for the second party.

Specifically, if the first behavior information and the second behavior information are both 1, the third initial benefit data is 0, and the fourth initial benefit data isThe second land cost data is +.>The second construction cost data is +.>The second transportation cost data is +.>The second target revenue data is: />。

If the first behavior information is represented as 1 and the second behavior information is represented as 0, the third initial profit data isThe fourth initial benefit data is +.>The second land cost data is 0, and the second construction cost data is +.>The second transportation cost data is +.>The second target revenue data is: />。

If the first behavior information is represented as 0 and the second behavior information is represented as 1, the third initial profit data isThe fourth initial benefit data is +.>The second land cost data is +.>The second construction cost data is +.>The second transportation cost data is +.>The second target revenue data is: />。

In the steps S510 to S530, the second target profit calculation is performed through the third initial profit data, the fourth initial profit data, the second land cost data, the second construction cost data and the second transportation cost data, so that the profit of the target facility to the second participant in the initial address establishment can be accurately quantified, whether the target facility is established in the initial site selection is determined according to the first target profit data of the first participant and the second target profit data of the second participant, and the site selection of the target facility is performed in a data planning manner instead of the site selection based on the acceptance of the public to the target facility, thereby improving the rationality and accuracy of the site selection of the target facility.

Referring to fig. 6, in some embodiments, step S170 may include, but is not limited to, steps S610 to S660:

step S610, obtaining area planning vector data of an initial area and resident grid data of the initial area, and converting the resident grid data into first resident vector data;

step S620, carrying out superposition processing on the regional planning vector data and the first resident vector data to obtain combined vector data;

step S630, clipping the combined vector data according to preset precision to obtain second resident vector data; wherein the accuracy of the second resident vector data is greater than the accuracy of the first resident vector data;

step S640, obtaining the total number of residents covered by the target facilities;

step S650 of determining distance data between the third party and the target facility based on the total number of residents and the second resident vector data;

step S660, performing target profit calculation according to the preset third profit coefficient and the distance data to obtain third target profit data.

In step S610 of some embodiments, the regional planning vector data is administrative division data, which is basic geographic information data obtained by dividing an initial region, the resident raster data is population raster data of the initial region, and the population raster data is converted into population vector data in a grid form, so as to obtain first resident vector data.

In step S620 of some embodiments, the regional planning vector data and the first resident vector data are superimposed to obtain combined vector data, wherein the combined vector data includes grid vector data of population data.

In step S630 of some embodiments, in order to obtain vector data of finer granularity, the combined vector data in the form of a grid is cut according to the accuracy, to obtain second resident vector data, where the accuracy is the grid accuracy, which may be 100×100, 200×200, etc., and the accuracy of the second resident vector data is equal to the preset accuracy.

In step S640 of some embodiments, the total number of resident population covered by the target facility input by the user through the human-computer interaction is obtained. When the size of the land of the target facility is determined, the total population of residents covered by the target facility is fixed, and the population covered by the target facility is spatially reflected as different spatial ranges due to different spatial distributions of the population in different areas.

In step S650 of some embodiments, population density of a current coverage area of the target facility is obtained according to the second resident vector data, a current coverage radius of the target facility is obtained, an area of the current coverage area is determined according to the current coverage radius, the coverage area comprises a first coverage area and a second coverage area, a first product value is obtained according to a product of the population density of the first coverage area and the area of the first coverage area, a second product value is obtained according to a product of the population density of the second coverage area and the area of the second coverage area, a population number of the target facility is obtained according to a sum of the first product value and the second product value, and if the population number is smaller than the population total number of residents, the coverage radius of the target facility is automatically adjusted to enlarge the coverage area until the population number of the coverage area is equal to the population total number of residents, and if the population number is greater than the population total number of residents, the coverage radius of the target facility is automatically adjusted to reduce the coverage area until the population total number of the coverage area is equal to the population total number of residents, wherein the coverage distance is a circular area with the coverage distance as a radius, and the coverage area comprises a plurality of different space areas.

When the population covered by the target facility is equal to the total population of residents, the coverage area of the target facility is determined, and the distance between the target facility and each third participant in the coverage area is obtainedDistance of all->Adding to obtain distance data between the third party and the target facility>. After determining the coverage area of the target facility, the distance between the target facility and each fourth participant of the coverage area thereof is obtained>Distance of all->Adding to obtain distance data between the fourth party and the target facility>. Note that distance data +.>And distance data->Are all straight line distances.

In step S660 of some embodiments, a third benefit coefficient and distance dataMultiplying to obtain third target profit data, and adding third profit coefficient and distance data +.>And multiplying to obtain fourth target profit data, wherein the third profit coefficient is an influence coefficient of the distance of the target facilities on residents, and the smaller the influence coefficient is, the larger the profit is.

In the steps S610 to S660, the third target benefit of the third party and the fourth target benefit of the fourth party are calculated, so that the location of the target facility can be selected according to the target benefits of the multiple parties.

Referring to fig. 7, in some embodiments, step S180 may include, but is not limited to, steps S710 to S720:

step S710, summing up and calculating the third target income data and the fourth target income data to obtain resident income data;

step S720, screening the plurality of initial site selection data according to the first target income data, the second target income data and the resident income data to obtain target site selection data.

In step S710 of some embodiments, since the third party and the fourth party are both residents, in order to obtain the resident total profit, the third target profit data of the third party and the fourth target profit data of the fourth party are summed to obtain the resident profit data.

In step S720 of some embodiments, an initial addressAnd converting the initial address in the initial address selection data into space basic units corresponding to a geographic coordinate of the initial area, wherein each space basic unit has a position code, such as a position 1, a position 2 and the like, and acquiring the first target profit data, the second target profit data and the resident profit data of each space basic unit, namely each space basic unit has three data attributes of the first target profit data, the second target profit data and the resident profit data. First target income data of position code i and position i Second target revenue data->And resident income data->As an input parameter of a three-dimensional geometric function, performing image drawing by using the three-dimensional geometric function to obtain a 3D scattered point distribution map, and visually displaying the +.>、/>And->Obtain->、/>And->And the corresponding position code takes the initial address corresponding to the position code as a target address. Needs to be as followsIllustratively, ->、/>And->The larger the benefit, the greater the target address selected.

And (3) obtaining a certain data attribute of different positions i, performing linear fitting on the data attribute of different positions according to a preset fitting function to obtain a linear fitting diagram, visually displaying the change of the certain data attribute of different site selection according to the linear fitting diagram, and comparing and analyzing the change to obtain the benefit condition of the different site selection data.

And (3) according to the linear fitting map and the 3D scatter distribution map, adjusting land cost coefficient, construction cost coefficient, transportation cost coefficient, first benefit parameter, second benefit parameter and the like, carrying out benefit calculation again, and judging the influence of each parameter on the benefit data by comparing the benefit data before and after adjustment so as to select a proper parameter optimization target site. In the related technology, the ArcGis software is firstly utilized to carry out space analysis and then the decision analysis is combined to carry out the site selection of the target facility, but the method needs to switch a plurality of software and needs the assistance of certain manual calculation.

In the steps S710 to S720, the initial address is screened to obtain the target address through the multiple dimensions of the first target profit data, the second target profit data, the resident profit data and the like of the first participant, so that the profits of all the parties can be maximized, and the rationality and the accuracy of the site selection are improved.

Referring to fig. 8, the embodiment of the present application further provides an address selecting device for a cross-city target facility, where the address selecting device for a cross-city target facility may implement the address selecting method for a cross-city target facility, and the address selecting device includes:

a first obtaining module 810, configured to obtain a plurality of initial address data of a target facility, where each initial address data includes an initial address, and the target facility is configured to perform garbage disposal;

a second obtaining module 820, configured to obtain first behavior information of the first participant on the initial address data and second behavior information of the second participant on the initial address data;

the land cost calculation module 830 is configured to calculate first land cost data of the first participant and second land cost data of the second participant according to a preset land cost coefficient if the first behavior information indicates that the first participant agrees to provide the land for the initial address data and/or the second behavior information indicates that the second participant agrees to provide the land for the initial address data; the first local cost data are cost data obtained by a first participant according to first behavior information; the second land cost data is cost data obtained by the second participant according to the second behavior information;

A construction cost calculation module 840, configured to calculate first construction cost data of the first participant and second construction cost data of the second participant according to a preset construction cost coefficient; the first construction cost data is cost data of a first participant for constructing a target facility according to an initial address, and the second construction cost data is cost data of a second participant for constructing the target facility according to the initial address;

a transportation cost calculation module 850 for calculating first transportation cost data and second transportation cost data according to a preset transportation cost coefficient; the first transportation cost data is cost data of a first participant for transporting a first target object from a third participant to an initial address; the second transportation cost data is cost data of the second participant for transporting the second target object from the fourth participant to the initial address;

a first revenue calculation module 860 for determining first target revenue data for the first participant based on the first land cost data, the first construction cost data, and the first transportation cost data, and determining second target revenue data for the second participant based on the second land cost data, the second construction cost data, and the second transportation cost data;

A second revenue calculation module 870 for calculating third target revenue data for the target facility for the third party and calculating fourth target revenue data for the target facility for the fourth party;

and a screening module 880, configured to screen the plurality of initial address selection data according to the first target revenue data, the second target revenue data, the third target revenue data, and the fourth target revenue data, to obtain target address selection data, where the target address selection data includes a target address for setting a target facility.

Referring to fig. 9, fig. 9 illustrates a hardware structure of an electronic device according to another embodiment, the electronic device includes:

the processor 910 may be implemented by a general-purpose CPU (central processing unit), a microprocessor, an application-specific integrated circuit (ApplicationSpecificIntegratedCircuit, ASIC), or one or more integrated circuits, etc. for executing related programs to implement the technical solutions provided by the embodiments of the present application;

memory 920 may be implemented in the form of read-only memory (ReadOnlyMemory, ROM), static storage, dynamic storage, or random access memory (RandomAccessMemory, RAM). Memory 920 may store an operating system and other application programs, and when implementing the technical solutions provided in the embodiments of the present disclosure by software or firmware, relevant program codes are stored in memory 920, and the processor 910 invokes the method for selecting an address of a cross-city target facility to execute the embodiments of the present disclosure;

An input/output interface 930 for inputting and outputting information;

the communication interface 940 is configured to implement communication interaction between the device and other devices, and may implement communication in a wired manner (e.g., USB, network cable, etc.), or may implement communication in a wireless manner (e.g., mobile network, WIFI, bluetooth, etc.);

a bus 950 for transferring information between components of the device (e.g., processor 910, memory 920, input/output interface 930, and communication interface 940);

wherein processor 910, memory 920, input/output interface 930, and communication interface 940 implement communication connections among each other within the device via a bus 950.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program which is executed by a processor to realize the method for selecting the site of the cross-city target facility.

The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

According to the site selection method of the cross-city target facility, the site selection device of the cross-city target facility, the electronic equipment and the computer readable storage medium, through the acquisition of the plurality of initial site selection data of the target facility, the first behavior information of the first party on the initial site selection data and the second behavior information of the second party on the initial site selection data are acquired, if the first behavior information indicates that the first party agrees to provide a land for the initial site selection data, and/or the second behavior information indicates that the second party agrees to provide a land for the initial site selection data, the first cost data of the first party and the second cost data of the second party are calculated according to the preset cost coefficients of land, the first cost data of the first party and the second cost data of the second party are calculated according to the preset cost coefficients of construction, the first cost data of transportation and the second cost data of the second party are calculated according to the preset cost coefficients of transportation, the first cost data of transportation and the second cost data of the first party are determined according to the first cost coefficients of transportation, the first party cost data of land and the second cost of construction and the second party can be calculated according to the preset cost coefficients of construction, the first cost data of land and the second cost of construction of the second party can be increased, and the second cost of construction can be increased, and the cost of construction and the second cost of construction can be increased according to the second cost and the second cost of construction, and the second cost of construction of the second cost and the second cost data of construction and the first cost and the second cost data of the first cost data of the price can be calculated. When the first behavior information and the second behavior information both indicate that each participant agrees to provide land for the initial site selection data, the description is site selection of the cross-city, and site selection of target facilities is performed among a plurality of cities related to the cross-city according to the income data, so that the rationality of site selection of the cross-city area can be improved. Further, third target revenue data of a third participant by the target facility are calculated, fourth target revenue data of a fourth participant by the target facility are calculated, and a plurality of initial site selection data are screened according to the first target revenue data, the second target revenue data, the third target revenue data and the fourth target revenue data to obtain target site selection data.

The embodiments described in the embodiments of the present application are for more clearly describing the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application, and those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

It will be appreciated by persons skilled in the art that the embodiments of the application are not limited by the illustrations, and that more or fewer steps than those shown may be included, or certain steps may be combined, or different steps may be included.

The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Those of ordinary skill in the art will appreciate that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof.

The terms "first," "second," "third," "fourth," and the like in the description of the application and in the above figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that in the present application, "at least one (item)" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is merely a logical function division, and there may be another division manner in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including multiple instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing a program.

The preferred embodiments of the present application have been described above with reference to the accompanying drawings, and are not thereby limiting the scope of the claims of the embodiments of the present application. Any modifications, equivalent substitutions and improvements made by those skilled in the art without departing from the scope and spirit of the embodiments of the present application shall fall within the scope of the claims of the embodiments of the present application.

Claims

1. The site selection method of the cross-city target facility is characterized by comprising the following steps of:

screening the plurality of initial address selection data according to the first target profit data, the second target profit data, the third target profit data and the fourth target profit data to obtain target address selection data, wherein the target address selection data comprises a target address for setting the target facility;

The obtaining a plurality of initial addressing data of the target facility includes:

acquiring initial vector data of an initial area;

screening the candidate grids according to preset screening parameters to obtain a plurality of initial address selection data;

the initial vector data comprises initial land type vector data, public facility vector data, traffic facility vector data and residential point vector data, and the initial vector data is used for carrying out graph construction to obtain a grid vector data graph, and the method comprises the following steps:

screening the initial land type vector data according to a preset land utilization type to obtain target land type vector data; the land use type comprises a cultivated land type, a wet land type and a water body type;

acquiring address text data of a target facility;

The first buffer area data is removed from the public facility vector data to obtain first residual vector data, the second buffer area data is removed from the traffic facility vector data to obtain second residual vector data, and the third buffer area data is removed from the residential point vector data to obtain third residual vector data;

performing graph construction according to the target land type vector data, the first residual vector data, the second residual vector data and the third residual vector data to obtain the grid vector data graph;

the calculating third target revenue data for the target facility for the third party includes:

Acquiring the total number of residents covered by the target facilities;

2. The method of locating a target facility across a ground city of claim 1, wherein the determining first target revenue data for the first party based on the first ground cost data, the first construction cost data, and the first transportation cost data comprises:

3. The method of locating a target facility across a ground city of claim 2, wherein the determining second target revenue data for the second party based on the second land cost data, the second construction cost data, and the second transportation cost data comprises:

4. A method of locating a target facility across a ground city according to any one of claims 1 to 3, wherein the screening of the plurality of initial locating data based on the first target revenue data, the second target revenue data, the third target revenue data and the fourth target revenue data to obtain target locating data comprises:

5. An address selection device of a cross-city target facility, characterized in that the address selection device comprises:

the screening module is used for screening the plurality of initial address selection data according to the first target income data, the second target income data, the third target income data and the fourth target income data to obtain target address selection data, wherein the target address selection data comprises a target address for setting the target facility;

acquiring initial vector data of an initial area;

acquiring address text data of a target facility;

Acquiring the total number of residents covered by the target facilities;

6. An electronic device comprising a memory storing a computer program and a processor that when executing the computer program implements the method of locating a target facility across the ground city of any one of claims 1 to 4.

7. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method of locating a target facility across the ground city of any one of claims 1 to 4.