CN112488648A - Jurisdictional enterprise statistical method and related components - Google Patents
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Abstract
The application discloses a method for managing enterprise statistics, which is characterized in that the attribution judgment of enterprises in a region is converted into point-to-surface position relation judgment by taking longitude and latitude as a bridge, so that the implementation mode of enterprise management is simplified; if the ray generated by taking the longitude and latitude coordinates of the target enterprise as the end point has even number of intersection points with the management address range, the position relation between the longitude and latitude coordinates of the target enterprise and the management boundary line of the target area is further judged, the accuracy of division of enterprise affiliation can be improved, the enterprise is rapidly and accurately collected, and therefore efficient management of the enterprise under the jurisdiction of the area is achieved. The application also provides a management enterprise statistical device, equipment and a readable storage medium, and the management enterprise statistical device and the equipment have the beneficial effects.
Description
Technical Field
The present application relates to the field of computer software technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for accounting for jurisdictions.
Background
To facilitate the management of the enterprise within the jurisdiction by the campus/enterprise jurisdiction, it is necessary to determine the distribution of all enterprises within its jurisdiction.
For the enterprises in the jurisdiction of the statistics garden/enterprise jurisdiction, two implementation modes are generally adopted at present, one is that all enterprises in the jurisdiction are visited one by one manually to carry out information input, and in the mode, if the jurisdiction is larger or the number of the enterprises is larger, the implementation efficiency is lower, and the consumption of manpower and material resources is larger; the other implementation mode is to distinguish points inside and outside the region based on the PNpoly algorithm, but the point of the region boundary is not well distinguished under the method, and the enterprise attribution judgment error exists, so that the enterprise management of the target region is not facilitated.
Therefore, how to improve the accuracy of enterprise attribution division is a problem that needs to be solved urgently by technical personnel in the field.
Disclosure of Invention
The application aims to provide a method for counting the dominating enterprises, which can improve the accuracy of dominating enterprise counting; it is another object of the present application to provide a policing enterprise statistics apparatus, a device and a readable storage medium.
In order to solve the technical problem, the present application provides a jurisdictional enterprise statistics method, including:
determining a target area to which an enterprise to be counted belongs and a management address range of the target area;
determining enterprises associated with the target area as target enterprises, and determining longitude and latitude coordinates of the target enterprises;
generating a ray by taking the longitude and latitude coordinates as an end point in a map comprising the target area;
determining the number of intersections of the ray and the management address range in the map;
if the number of the intersection points is an even number, judging whether the longitude and latitude coordinates of the target enterprise are on a management boundary line of the target area;
if the target enterprise is on the management boundary line, judging the affiliation of the target enterprise according to a preset affiliation rule;
and if the target enterprise is not on the management boundary line, judging that the target enterprise is not in the management address range of the target area.
Optionally, the determining a business associated with the target area as a target business, and determining longitude and latitude coordinates of the target business includes:
crawling address information of each enterprise in a network;
determining enterprises with the address information in the preset range of the target area as target enterprises;
and converting the actual office address of the target enterprise into longitude and latitude information as the longitude and latitude coordinates.
Optionally, the crawling address information of each enterprise in the network includes:
crawling government registration addresses of enterprises, addresses in recruitment information and addresses in website propaganda information;
setting high-to-low priority for the address in the website propaganda information, the address in the recruitment information and the registration address;
and acquiring corresponding address information as the address information of the target enterprise according to the order of high-to-low priority.
Optionally, the determining a target area to which the enterprise to be counted belongs and a management address range of the target area include:
determining a target area to which an enterprise to be counted belongs;
and receiving the imported management address range data as the management address range of the target area.
Optionally, the determining a target area to which the enterprise to be counted belongs and a management address range of the target area include:
determining a target area to which an enterprise to be counted belongs;
receiving the imported vertex position information of the target area;
and calling a Graham-Scan algorithm to draw the region range according to the vertex position information and the vertex sequence, and taking the drawing result as the management address range of the target region.
Optionally, the determining the affiliation of the target enterprise according to a preset affiliation rule includes:
judging whether the management address range comprises a neighboring street outside the target area;
if yes, judging that the target enterprise is not in the management address range of the target area;
and if not, judging that the target enterprise is in the management address range of the target area.
Optionally, the determining the affiliation of the target enterprise according to a preset affiliation rule includes:
receiving the designation of the target enterprise attribution by a user;
if the user specifies that the target enterprise is in the management address range of the target area, judging that the target enterprise is in the management address range of the target area;
and if the user specifies that the target enterprise is not in the management address range of the target area, judging that the target enterprise is not in the management address range of the target area.
The application also provides a statistical device for managing the enterprise, the device includes:
the area determining unit is used for determining a target area to which the enterprise to be counted belongs and a management address range of the target area;
the enterprise determining unit is used for determining an enterprise associated with the target area as a target enterprise and determining longitude and latitude coordinates of the target enterprise;
the map dividing unit is used for generating a ray by taking the longitude and latitude coordinates as an end point in a map comprising the target area;
an intersection determination unit configured to determine the number of intersections of the ray with the management address range in the map;
the boundary judgment unit is used for judging whether the longitude and latitude coordinates of the target enterprise are on the management boundary line of the target area when the number of the intersection points is an even number; if the management boundary line is on, triggering a first judging unit, and if the management boundary line is not on, triggering a second judging unit;
the first judging unit is used for judging the attribution of the target enterprise according to a preset attribution rule;
the second determination unit is configured to determine that the target enterprise is not within the management address range of the target area.
The application also provides a jurisdictional enterprise statistics device, comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the administration enterprise statistical method when the computer program is executed.
The application also provides a readable storage medium, which stores a program, and the program realizes the steps of the method for managing enterprise statistics when being executed by a processor.
In the administrative enterprise statistical method provided by the application, the attribution judgment of enterprises in the area is converted into point-to-surface position relation judgment by taking longitude and latitude as a bridge, so that the implementation mode of enterprise management is simplified; if the ray generated by taking the longitude and latitude coordinates of the target enterprise as the end point has even number of intersection points with the management address range, the position relation between the longitude and latitude coordinates of the target enterprise and the management boundary line of the target area is further judged, the accuracy of division of enterprise affiliation can be improved, the enterprise is rapidly and accurately collected, and therefore efficient management of the enterprise under the jurisdiction of the area is achieved.
The application also provides a management enterprise statistics device, equipment and a readable storage medium, which have the beneficial effects and are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flowchart of a jurisdictional enterprise statistics method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of an irregular polygon jurisdiction provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of a business to be crawled according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a target area and a target enterprise provided by an embodiment of the present application;
FIG. 5 is a block diagram of a jurisdictional enterprise statistics apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a jurisdictional enterprise statistics device according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a method for supervising enterprise statistics, which can improve the accuracy rate of supervising enterprise statistics; at the other core of the application, the device and the equipment for managing the enterprise statistics and a readable storage medium are provided.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The present application provides a statistical method for a jurisdictional enterprise, please refer to fig. 1, where fig. 1 is a flowchart of the statistical method for the jurisdictional enterprise provided in this embodiment, and the method mainly includes the following steps:
step s110, determining a target area to which the enterprise to be counted belongs and a management address range of the target area;
the target area to which the enterprise to be counted belongs, such as a campus, an enterprise administration unit, a feature town, and the like, includes a plurality of enterprises, but an enterprise list specifically included in a specific management address range of the target area cannot be quickly acquired.
In the embodiment, a target area (such as a campus) is regarded as a polygon area in a GIS (Geographic Information System) or Geo-Information System, specific longitude and latitude Information of each vertex of the polygon area is determined, and a specific management polygon area is determined by determining a management address range of the target area, as shown in fig. 2, the target area is determined as an irregular polygon jurisdiction area schematic diagram on a map according to longitude and latitude data of a certain campus.
In the pnpoly algorithm, whether a left side exists in an irregular polygon is judged by a ray method and a regression method, wherein the ray method is that according to Jordan curve the polygon divides a plane into an inner region and an outer region, a ray led out from a point to be measured is supposed to be in the polygon and is bound to have at least one intersection point with the polygon, the ray is flushed out of the polygon when being intersected with the polygon for the first time, the ray is entered into the polygon when being intersected with the polygon for the second time, and the like, if the ray and the polygon have odd number of intersection points, the point is in the polygon, otherwise, the point is in the outside. The PNPoly algorithm just leads out a horizontal ray from a point to be measured and calculates the number of intersection points with a polygon. In the embodiment, the affiliation relationship between the enterprise and the garden is determined by judging the position relationship between the point and the polygon through a pnpoly algorithm.
It should be noted that, in this embodiment, a specific implementation manner of determining the management address range of the target area is not limited, and the imported management address range data may be directly received as the management address range of the target area, and accordingly, a process of determining the target area to which the enterprise to be counted belongs and the management address range of the target area may specifically include: (1) determining a target area to which an enterprise to be counted belongs; (2) and receiving the imported management address range data as the management address range of the target area. The method is simple and easy to implement, and can improve enterprise management efficiency. Further, the generation of the management address range may be performed according to a preset information type, for example, determining a target area to which the enterprise to be counted belongs, and a process of managing the management address range of the target area may specifically include: (1) determining a target area to which an enterprise to be counted belongs; (2) receiving vertex position information of the imported target area; (3) and calling a Graham-Scan algorithm to draw the region range according to the vertex position information and the vertex sequence, and taking the drawing result as the management address range of the target region. According to the method, the polygon is used as a convex hull, the positions and the sequence of all vertexes of the polygon are recorded, and then the Graham-Scan algorithm is called to determine the garden range according to the corner enterprise address. It should be noted that, in this embodiment, only the two implementation manners are described as an example, and other implementation manners can refer to the description of this embodiment and are not described herein again.
Step s120, determining an enterprise associated with the target area as a target enterprise, and determining longitude and latitude coordinates of the target enterprise;
in this embodiment, the target enterprise is regarded as a coordinate in the GIS, and the longitude and latitude coordinates of the target enterprise are determined, so that the position of the coordinate point corresponding to the target enterprise is determined in the map in the following. It should be noted that the longitude and latitude coordinates of the target enterprise determined in this embodiment are a registration address (a registration address registered by a market monitoring and managing authority when the enterprise is ready to perform business operations) or an office address of the enterprise.
The determining of the implementation of the enterprise associated with the target area may be specified by a user, or may be implemented by searching for associated information (for example, promotional information is related to the target area, and address information is related to the target area, and the like), in this embodiment, a specific implementation manner of the step is not limited, and for deepening understanding, an implementation manner of determining the enterprise associated with the target area as the target enterprise and determining longitude and latitude coordinates of the target enterprise is introduced here, and specifically may include the following steps:
(1) crawling address information of each enterprise in a network;
the method comprises the steps that a content part containing address information of each enterprise in a crawling network is obtained, a crawling object enterprise is not limited and can be specified by a user (from all enterprises in a region to which a target region belongs), as shown in fig. 3, a schematic diagram for specifying the enterprise to be crawled is shown, and all enterprises in the region to which the target region belongs (a unified address library which is suitable for being established in each region) can be randomly crawled, wherein the unified address library established in each region can be manually identified by taking a unified social credit code as a unique identifier, and the enterprise information is manually increased or deleted to establish a unified and complete address library, so that the purpose of regionalizing and collecting the enterprises is achieved, and limitation is not made; in addition, because the address information of the enterprise in the web page has various existing forms, and may include an address registered by the enterprise in the government, an enterprise address in the recruitment information, an enterprise address in the website propaganda information, and the like, the information form of the enterprise address information is not limited in this embodiment, and the information type may be specifically limited or set according to the actual use needs.
The crawling implementation mode of the address information is as follows:
(1.1) crawling government registration addresses, addresses in recruitment information and addresses in website propaganda information of each enterprise;
(1.2) setting high-to-low priority for the address in the website propaganda information, the address in the recruitment information and the registration address;
and (1.3) acquiring corresponding address information as the address information of the target enterprise according to the order of the priority from high to low.
For example, when the address in the recruitment information is higher in priority than the registered address, the address in the recruitment information is used as the address information of the enterprise. At present, the classification and division method for enterprises mainly records and uniformly classifies the registered address of the enterprise and the enterprise address recorded in the past work, and classifies the enterprise address information from a plurality of departments such as public security, market supervision bureau, housing construction, tax bureau and the like, but the address information resources of each unit are relatively independent originally, so that the association and integration are difficult to perform. The crawling and screening method of the information can select the most accurate enterprise available actual contact address so as to facilitate the subsequent administration of the enterprise. The summary of the embodiment is only described by taking the above implementation manner as an example, and other information crawling and screening manners can refer to the description of the embodiment, which is not described herein again.
(2) Determining enterprises with address information in a preset range of a target area as target enterprises;
for example, if the management range of a certain campus is 111 to 200 of 1 way and the preset range is 1 way, if the address information of a certain business is 153 of 2 ways, the business is not within the preset range and cannot be regarded as a target business, and if the address information of a certain business is 147 of 1 way, the business is within the preset range and can be regarded as a target business.
(3) And converting the actual office address of the target enterprise into longitude and latitude information as longitude and latitude coordinates.
And uniformly processing and converting the acquired address information into longitude and latitude information to generate spatial data of the target enterprise so as to facilitate subsequent spatial position analysis. The implementation process of the longitude and latitude information conversion may refer to implementation of related technologies, which is not limited herein.
According to the method, address information of enterprises left on the internet is processed in a unified mode and converted into coordinate information, the coordinate information is marked on a map in a unified mode, then enterprise region division processing is carried out through a pnpoly algorithm, unified addresses for classification and division of the enterprises and unified coordinates can be provided, and therefore human resources which are needed to convert the addresses of all regions originally are saved.
It should be noted that, in this embodiment, details are only described by taking the above implementation manner as an example, and other implementation manners can refer to the above description, which is not described herein again.
Step s130, generating a ray by taking longitude and latitude coordinates as an end point in a map comprising a target area;
step s140, determining the number of intersections of the ray and the management address range in the map;
step s130 is described herein in conjunction with step s 140: in a map including a target area, a ray is taken from the longitude and latitude (regardless of direction) of a target enterprise, as shown in fig. 4, a schematic diagram of the target area and the target enterprise is shown, in the diagram, a polygonal irregular shaded area is the target area, and a dot pointed by an arrow is the target enterprise, when a straight line crosses a polygonal boundary, the following three situations occur: (1) the point is located outside the region, the ray will have an even number of intersections (2) with the polygon, the point is located inside the region, the ray will have an odd number of intersections with the polygon; (3) the point is located on the region and the ray will have an even number of intersections with the polygon.
Then, whether the enterprise is in a certain area is calculated by adopting a ray method, a ray is made from the point, the number of intersection points of the ray and the polygon boundary is calculated, if the number of the intersection points is an odd number, the point is in the polygon, and if not, the point is outside or on the polygon.
At present, when the position relation between a point and a polygon is judged through a pnpoly algorithm in the traditional method, whether the enterprise is in an area or not can be judged, but only for the enterprises outside and in the area, the situation that the number of intersection points is even is uniformly used as the point outside the polygon, the enterprise on a polygon boundary line (a management boundary line of a target area) can be ignored, the point on the boundary line of the area can not be judged, in practical application, not only the area inside and outside can be generated, but also if a certain point is on the area, the home relationship of the point can not be determined, namely, the home relationship between the enterprise on a garden management boundary line and the garden can not be determined in the traditional method, and the problem that the unified accuracy of enterprise administration is low is caused.
Because if rays are made from a given point, if the point is inside the polygon, the intersection points of the rays and the polygon must have an odd number; if the point is outside the polygon, the intersection points of the rays and the polygon boundary are even; if the point is on the polygon boundary, the intersection of the ray and the polygon cannot be judged with parity. Therefore, in this embodiment, in order to improve the accuracy of statistics of the administrative enterprise, if the encounter point has an odd number of intersection points with the polygon, the PNpoly algorithm may be directly used to determine that the enterprise is in the management area, and the specific implementation process in this step may refer to the implementation manner of the related art, which is not described herein again; if an even number of intersections with the polygon are encountered, step s150 may be performed to further make a determination of the location (jurisdiction) of the point (business).
Step s150, if the number of the intersection points is an even number, judging whether the longitude and latitude coordinates of the target enterprise are on the management boundary line of the target area;
the implementation manner of determining whether the longitude and latitude coordinates are on the management boundary line of the target area may be determined by the relationship between the point and the straight line, or may be determined by user specification.
For further understanding, an implementation of designing an equation with a straight line where points are located to determine whether the points are on the straight line is introduced, which is as follows: a point is set as A, the polygon boundary closest to the point A is a side BC, Ax is the x-axis coordinate of the point A, Ay is the y-axis coordinate of the point A, Bx is the x-axis coordinate of the point B, By is the y-axis coordinate of the point B, Cx is the x-axis coordinate of the point C, and Cy is the y-axis coordinate of the point C.
(Ax-Bx)*(Cy-By)＝(Cx-By)*(Ay-By)
(Ax>＝minx)
(Ax<＝maxx)
If all the conditions are met, the longitude and latitude coordinates of the target enterprise are on the management boundary line of the target area.
In this embodiment, only the above implementation manner is described as an example, and other implementation manners based on application scenario setting may refer to the above description, which is not described herein again.
If the latitude and longitude coordinates of the target enterprise are on the management boundary line of the target area, step s160 is executed, and if the latitude and longitude coordinates of the target enterprise are not on the management boundary line of the target area, step s170 is executed.
Step s160, judging the attribution of the target enterprise according to a preset attribution rule;
if on the management boundary line, an attribution rule may be set according to actual application, the point is divided into an area/an area according to a preset attribution rule, and the attribution of the enterprise is determined according to actual conditions.
In order to improve the automation level of the enterprise attribution determination, the process of performing the attribution determination of the target enterprise according to the preset attribution rule may specifically include the following steps:
(1) judging whether the management address range comprises an adjacent street outside the target area;
(2) if yes, judging that the target enterprise is not in the management address range of the target area;
(3) if not, the target enterprise is judged to be in the management address range of the target area.
If the management address range comprises a street adjacent to the outer side of the target area, and the target enterprise is on the edge line of the target area at the moment, the contact address of the enterprise is probably not on the street, so that the target enterprise can be judged not to be in the management address range of the target area; if the management address range does not include the adjacent street outside the target area, and the target enterprise is on the edge line of the target area, the edge line may be the address of the edge enterprise, and thus it may be determined that the target enterprise is within the management address range of the target area. The method can directly and automatically divide enterprises in the user-defined plan, and improves user experience.
In order to improve the accuracy of the enterprise attribution determination, the process of performing the attribution determination of the target enterprise according to the preset attribution rule may specifically include the following steps:
(1) receiving the assignment of a user to the attribution of a target enterprise;
(2) if the user specifies that the target enterprise is in the management address range of the target area, judging that the target enterprise is in the management address range of the target area;
(3) and if the user specifies that the target enterprise is not in the management address range of the target area, judging that the target enterprise is not in the management address range of the target area.
After the edge line judgment and the parity judgment, the number of enterprises with address information on the management edge line of the target area is small, and at this time, in order to improve the accuracy of enterprise attribution judgment, the attribution of each edge enterprise can be specified by related statistical managers.
And step s170, judging that the target enterprise is not in the management address range of the target area.
If the longitude and latitude coordinates of the target enterprise are not on the management boundary line of the target area, the enterprise can be judged to be outside the management boundary and not belong to the jurisdiction range of the target area.
Based on the introduction, in the jurisdictional enterprise statistical method provided by the embodiment, the affiliation determination of the enterprise in the area is converted into the point-to-surface position relationship determination by taking longitude and latitude as a bridge, so that the implementation mode of enterprise management is simplified; if the ray generated by taking the longitude and latitude coordinates of the target enterprise as the end point has even number of intersection points with the management address range, the position relation between the longitude and latitude coordinates of the target enterprise and the management boundary line of the target area is further judged, the accuracy of division of enterprise affiliation can be improved, the enterprise is rapidly and accurately collected, and therefore efficient management of the enterprise under the jurisdiction of the area is achieved.
Referring to fig. 5, fig. 5 is a block diagram illustrating a structure of a jurisdictional enterprise statistics apparatus provided in this embodiment; the device mainly includes: an area determination unit 110, an enterprise determination unit 120, a map division unit 130, an intersection determination unit 140, a boundary determination unit 150, a first determination unit 160, and a second determination unit 170. The administrative enterprise statistics device provided in this embodiment can be compared with the administrative enterprise statistics method.
The area determining unit 110 is mainly configured to determine a target area to which an enterprise to be counted belongs and a management address range of the target area;
the enterprise determining unit 120 is mainly configured to determine an enterprise associated with the target area as a target enterprise, and determine longitude and latitude coordinates of the target enterprise;
the map dividing unit 130 is mainly configured to generate a ray with longitude and latitude coordinates as an endpoint in a map including a target area;
the intersection determination unit 140 is mainly used for determining the number of intersections between the ray and the management address range in the map;
the boundary judgment unit 150 is mainly used for judging whether the longitude and latitude coordinates of the target enterprise are on the management boundary line of the target area when the number of the intersection points is an even number; if the management boundary line is on, triggering a first determination unit 160, and if the management boundary line is not on, triggering a second determination unit 170;
the first determination unit 160 is mainly used for determining the affiliation of the target enterprise according to a preset affiliation rule;
the second determination unit 170 is mainly used to determine that the target enterprise is not within the management address range of the target area.
The embodiment provides a jurisdictional enterprise statistics device, which mainly comprises: a memory and a processor.
Wherein, the memory is used for storing programs;
the processor is configured to implement the steps of the method for statistics of the jurisdictional enterprise as described in the above embodiments when executing the program, and specifically, refer to the description of the method for statistics of the jurisdictional enterprise.
Referring to fig. 6, a schematic structural diagram of a jurisdictional enterprise statistics device provided in this embodiment is provided, which may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 322 (e.g., one or more processors) and a memory 332, where the memory 332 stores one or more computer applications 342 or data 344. Memory 332 may be, among other things, transient or persistent storage. The program stored in memory 332 may include one or more modules (not shown), each of which may include a sequence of instructions operating on a data processing device. Still further, the central processor 322 may be configured to communicate with the memory 332 to execute a series of instruction operations in the storage medium 330 on the policing enterprise statistics apparatus 301.
The jurisdictional enterprise statistics apparatus 301 may also include one or more power supplies 326, one or more wired or wireless network interfaces 350, one or more input-output interfaces 358, and/or one or more operating systems 341, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and the like.
The steps in the administration enterprise statistics method described in fig. 1 above may be implemented by the structure of the administration enterprise statistics apparatus described in this embodiment.
The present embodiment discloses a readable storage medium, on which a program is stored, and the program, when executed by a processor, implements the steps of the jurisdictional enterprise statistical method described in the foregoing embodiment, which may be referred to in the foregoing embodiment for describing the jurisdictional enterprise statistical method.
The readable storage medium may be a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various readable storage media capable of storing program codes.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The jurisdictional enterprise statistics method, apparatus, device and readable storage medium provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
Claims (10)
1. A jurisdictional enterprise statistics method, comprising:
determining a target area to which an enterprise to be counted belongs and a management address range of the target area;
determining enterprises associated with the target area as target enterprises, and determining longitude and latitude coordinates of the target enterprises;
generating a ray by taking the longitude and latitude coordinates as an end point in a map comprising the target area;
determining the number of intersections of the ray and the management address range in the map;
if the number of the intersection points is an even number, judging whether the longitude and latitude coordinates of the target enterprise are on a management boundary line of the target area;
if the target enterprise is on the management boundary line, judging the affiliation of the target enterprise according to a preset affiliation rule;
and if the target enterprise is not on the management boundary line, judging that the target enterprise is not in the management address range of the target area.
2. The jurisdictional enterprise statistics method of claim 1 wherein said determining a business associated with said target area as a target business and determining latitude and longitude coordinates of said target business comprises:
crawling address information of each enterprise in a network;
determining enterprises with the address information in the preset range of the target area as target enterprises;
and converting the actual office address of the target enterprise into longitude and latitude information as the longitude and latitude coordinates.
3. The method of claim 2, wherein crawling address information for businesses in the network comprises:
crawling government registration addresses of enterprises, addresses in recruitment information and addresses in website propaganda information;
setting high-to-low priority for the address in the website propaganda information, the address in the recruitment information and the registration address;
and acquiring corresponding address information as the address information of the target enterprise according to the order of high-to-low priority.
4. The method of claim 1, wherein the determining the target area to which the enterprise to be counted belongs and the management address range of the target area comprises:
determining a target area to which an enterprise to be counted belongs;
and receiving the imported management address range data as the management address range of the target area.
5. The method of claim 1, wherein the determining the target area to which the enterprise to be counted belongs and the management address range of the target area comprises:
determining a target area to which an enterprise to be counted belongs;
receiving the imported vertex position information of the target area;
and calling a Graham-Scan algorithm to draw the region range according to the vertex position information and the vertex sequence, and taking the drawing result as the management address range of the target region.
6. The method of claim 1, wherein the determining the target enterprise's affiliation according to the predetermined affiliation rules comprises:
judging whether the management address range comprises a neighboring street outside the target area;
if yes, judging that the target enterprise is not in the management address range of the target area;
and if not, judging that the target enterprise is in the management address range of the target area.
7. The method of claim 1, wherein the determining the target enterprise's affiliation according to the predetermined affiliation rules comprises:
receiving the designation of the target enterprise attribution by a user;
if the user specifies that the target enterprise is in the management address range of the target area, judging that the target enterprise is in the management address range of the target area;
and if the user specifies that the target enterprise is not in the management address range of the target area, judging that the target enterprise is not in the management address range of the target area.
8. A jurisdictional enterprise statistics apparatus, comprising:
the area determining unit is used for determining a target area to which the enterprise to be counted belongs and a management address range of the target area;
the enterprise determining unit is used for determining an enterprise associated with the target area as a target enterprise and determining longitude and latitude coordinates of the target enterprise;
the map dividing unit is used for generating a ray by taking the longitude and latitude coordinates as an end point in a map comprising the target area;
an intersection determination unit configured to determine the number of intersections of the ray with the management address range in the map;
the boundary judgment unit is used for judging whether the longitude and latitude coordinates of the target enterprise are on the management boundary line of the target area when the number of the intersection points is an even number; if the management boundary line is on, triggering a first judging unit, and if the management boundary line is not on, triggering a second judging unit;
the first judging unit is used for judging the attribution of the target enterprise according to a preset attribution rule;
the second determination unit is configured to determine that the target enterprise is not within the management address range of the target area.
9. A jurisdictional enterprise statistics apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the jurisdictional enterprise statistics method of any one of claims 1-7 when executing the computer program.
10. A readable storage medium, characterized in that the readable storage medium has stored thereon a program which, when executed by a processor, implements the steps of the jurisdictional enterprise statistics method of any one of claims 1 to 7.
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Application publication date: 20210312 |