CN117472885A - Method and system for enterprise information statistics in regional boundary - Google Patents
Method and system for enterprise information statistics in regional boundary Download PDFInfo
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Abstract
The invention provides a method and a system for enterprise information statistics in regional boundaries, which solve the problems that the conventional electronic fence positioning method is poor in flexibility, difficult to avoid and inaccurate in map information processing and the like, and mainly comprise the steps of S1, constructing a convex hull corresponding to the regional boundaries, and drawing a polygonal virtual fence on an electronic map according to a boundary point set in the convex hull; s2, setting a virtual fence rule according to the enterprise information base determined to be in the regional boundary; s3, importing an enterprise list, judging whether an enterprise is in a virtual fence according to the virtual fence rule in S2, if so, judging whether the enterprise registration address is changed and updated consistently, if not, calling an address coding service to convert the enterprise address into longitude and latitude coordinates, and then determining whether the longitude and latitude coordinates corresponding to the enterprise are in the virtual fence through a ray intersection method; and S4, updating the enterprise information base according to the judgment result of the S3.
Description
Technical Field
The invention relates to the technical field of electronic fence positioning, in particular to a method and a system for enterprise information statistics in regional boundaries.
Background
The electronic fence technology provides a construction thought of a virtual electronic fence in a map service engine according to the requirements of regional map customization application in geographic information application, realizes on-line customization and processing of returned data by integrating the electronic fence function in the map service engine, and simultaneously converts a vector polygon intersection algorithm into calculation of discrete points in a polygon according to the condition that a returned format is a bitmap, provides a binary mask generation algorithm based on the whole, synthesizes electronic fence data by adopting a map synthesis technology, and realizes flexible and rapid processing of geographic information service.
Currently, through an electronic fence positioning technology on a map, frame selection of enterprise information on the map is realized, the frame selection is compared with an electronic fence boundary according to data returned by a map geocoding interface, whether an obtained node is located in a fence or not is judged, and enterprise information is summarized and counted based on fence data.
1. The boundary of the electronic fence needs to be determined before system development, and the electronic fence can be used after the release service is carried out by a map party;
2. the existing functions are not flexible enough, the boundary adjustment can not be flexibly provided according to the requirements of users, and the boundaries on the business and actual requirements are easily confused;
3. the set fence can only provide single-range service, and the application of the fence cannot be flexibly configured and the data cannot be flexibly processed;
4. the existing electronic fence technology cannot avoid and process the problem of inaccurate map information, so that final statistical data are inaccurate.
Disclosure of Invention
The invention provides a method and a system for enterprise information statistics in a regional boundary, which provide a flexible and configurable virtual fence rule engine for users, the users can plan, store, take effect and match electronic fences according to actual demands in a business system, and can distinguish the electronic fences from the electronic fences on the original business base map, so that the dual arrangement of the electronic fences and the virtual fences is realized, the enterprise information statistics in the lower boundary of the dual fences is more accurate, and the basis is provided for the statistics work of high and new regions.
In order to solve the technical problems, the invention adopts the following technical scheme: a method for enterprise information statistics within regional boundaries, comprising the steps of:
s1, constructing a convex hull corresponding to a region boundary, and drawing a polygonal virtual fence on an electronic map according to a boundary point set in the convex hull;
s2, setting a virtual fence rule according to the enterprise information base determined to be in the regional boundary;
s3, importing an enterprise list, judging whether the enterprise is in the virtual fence according to the virtual fence rule in S2,
and if so, determining whether the enterprise registration addresses are changed and updated consistently,
if not, address coding service is called to convert the enterprise address into longitude and latitude coordinates, and then a ray intersection method is used for determining whether the longitude and latitude coordinates corresponding to the enterprise are in the virtual fence;
and S4, updating the enterprise information base according to the judgment result of the S3.
Further, the convex hull in the step S1 is specifically constructed as follows,
collecting all points used for defining the boundary of the fence, wherein each point has corresponding longitude and latitude coordinates;
determining a starting point of the convex hull, wherein the starting point is a point with the minimum dimension and the minimum longitude in all boundary points;
sequencing the rest boundary points according to the polar angle between the starting point and each rest boundary point, wherein the polar angle is an anticlockwise angle relative to the horizontal line of the starting point;
the convex hull is constructed by Graham scanning algorithm or Jarvis stepping algorithm.
Further, the Graham scanning algorithm constructs convex hulls as follows,
creating an empty stack, and pushing the starting point and the first boundary point after sequencing to the stack;
traversing the sequenced boundary points, for each boundary point, if the steering formed by the current boundary point and two points at the top of the stack is anticlockwise, stacking the boundary point, otherwise, repeating the stack-pulling operation until the current boundary point and the two points at the top of the stack form anticlockwise steering;
after traversing all boundary points, the points in the stack are the points forming the convex hull.
Further, in the step S1, the virtual fence drawing further includes a step of defining attribute information of the virtual fence.
Further, the enterprise information base in the step S2 includes a unified social credit code, an enterprise name, an enterprise address, a park to which the enterprise belongs, and coordinates, and the triggering parameter of the virtual fence rule is the unified social credit code.
Further, in the step S3, the step of determining the ray intersection method is as follows,
initializing an intersection count count=0;
emitting a ray in the right horizontal direction from the point to be judged;
traversing each edge of the polygonal virtual fence to determine whether the ray intersects the boundary. If the ray coincides or is collinear with the boundary, the edge is ignored, and if the ray has an intersection point with the boundary, the intersection point count is increased;
if the intersection point count is odd, the point to be judged is inside the virtual fence; if count is even, then the point is outside the virtual fence.
A system for enterprise information statistics within regional boundaries, comprising:
the generation module is used for constructing a convex hull through a Graham scanning algorithm or a Jarvis stepping algorithm and drawing a virtual fence according to a boundary point set in the convex hull;
the rule setting module is used for setting a virtual fence rule according to the enterprise unified social credit code determined to be in the regional boundary;
the judging module compares and judges all enterprises according to the virtual fence rule, then compares the enterprises which are judged not to be in the virtual fence by a ray intersection method, and finally generates judging results of all enterprises;
and the data updating module is used for updating the data of the enterprise information determined by the judging module to be in the virtual fence.
An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for regional in-border business information statistics as described above when the program is executed.
A non-transitory computer readable storage medium having stored thereon a computer program for implementing the steps of the method for regional in-border business information statistics described above when executed by a processor.
Compared with the prior art, the invention has the beneficial effects that:
1. the problem of inaccurate statistics caused by address deviation due to insufficient management of original map geocoding is solved;
2. the business requirements which are not originally in the base map electronic fence can be included into a large fence for statistics according to the business requirements;
3. the enterprise information and fence information lists are built by the users, and the accuracy of enterprise data statistics is further improved.
Drawings
The disclosure of the present invention is described with reference to the accompanying drawings. It is to be understood that the drawings are designed solely for the purposes of illustration and not as a definition of the limits of the invention. In the drawings, like reference numerals are used to refer to like parts. Wherein:
FIG. 1 schematically shows an overall schematic of a proposed method flow according to one embodiment of the invention;
fig. 2 schematically shows a schematic diagram of a process for constructing a convex hull according to a Graham scanning algorithm according to an embodiment of the present invention.
Detailed Description
It is to be understood that, according to the technical solution of the present invention, those skilled in the art may propose various alternative structural modes and implementation modes without changing the true spirit of the present invention. Accordingly, the following detailed description and drawings are merely illustrative of the invention and are not intended to be exhaustive or to limit the invention to the precise form disclosed.
An embodiment according to the invention is shown in connection with fig. 1-2.
As shown in fig. 1, for the overall process, a method for enterprise information statistics within a regional boundary includes the following steps:
s1, constructing a convex hull corresponding to a region boundary, and drawing a polygonal virtual fence on an electronic map according to a boundary point set in the convex hull;
s2, setting a virtual fence rule according to the enterprise information base determined to be in the regional boundary;
s3, importing an enterprise list, judging whether the enterprise is in the virtual fence according to the virtual fence rule in S2,
and if so, determining whether the enterprise registration addresses are changed and updated consistently,
if not, address coding service is called to convert the enterprise address into longitude and latitude coordinates, and then a ray intersection method is used for determining whether the longitude and latitude coordinates corresponding to the enterprise are in the virtual fence;
and S4, updating the enterprise information base according to the judgment result of the S3.
The following specifically describes the above steps:
step one: setting virtual fence boundaries
The first step: boundary points are collected. All points defining the boundary of the fence are collected, each point having corresponding longitude and latitude coordinates.
And a second step of: finding the leftmost lower corner. All boundary points are traversed to find the point with the smallest latitude and smallest longitude. This point will become the starting point for the convex hull.
And a third step of: sorting boundary points. And sequencing the boundary points according to the polar angle between the starting point and the boundary points. The polar angle is the angle in the counterclockwise direction with respect to the horizontal line of the starting point.
Fourth step: constructing a convex hull (convex hull definition: a subset S of the plane is called "convex", if and only if for any two points p, q e S, the line segment belongs entirely to the convex hull CH (S) of S. Geometry S, or the smallest convex set containing S, more precisely, it is the intersection of all convex sets containing S. Many properties of the convex hull can also be deduced from this, including that a straight line intersects at most two sides or faces if it intersects (not tangential) the convex hull. Convex hulls are constructed using Graham scanning algorithms or Jarvis stepping algorithms.
The following are the steps of the Graham scanning algorithm:
a. creating an empty stack;
b. stacking the starting point and the first boundary point after sequencing;
c. traversing the ordered boundary points, for each boundary point: if the current boundary point turns counter-clockwise with the two points at the top of the stack, the boundary point is pushed onto the stack. Otherwise, repeating the pop operation until the current boundary point and two points at the top of the stack form anticlockwise steering. Stacking the current boundary point;
d. after traversing all boundary points, the points in the stack are the points forming the convex hull.
Fifth step: drawing polygon fences and defining attributes. And drawing the polygonal fence on the map by using a drawing tool or a drawing function of GIS software according to the point set obtained by the convex hull algorithm. After the drawing is completed, attribute information such as the name, the type and the like of the virtual fence is defined.
Step two: setting virtual fence rules
The rules of virtual fences are mainly used for controlling whether enterprises can be judged to be on-campus or off-campus. The list which is determined not to be in the virtual fence can be embodied through the list, mainly refers to the enterprise list which is explicitly set to be outside the fence, and when the enterprise appears, the enterprise is directly judged to be outside the fence. The parameters triggered are mainly the unified social credit code of the enterprise. The list determined in the virtual fence mainly refers to the enterprise list explicitly set in the fence, and when the enterprise appears, the enterprise is directly judged to be in the virtual fence. The parameters triggered are mainly the unified social credit code of the enterprise.
Step three: importing enterprise list and judging whether to be in virtual fence enterprise information base (automatic creation and perfection)
The enterprise information base is an enterprise information base for storing the nano systems in the area, and can also be called a legal person base, and comprises enterprise unified social credit codes, enterprise names, enterprise addresses, affiliated parks, coordinates and the like. When the business listing is imported, whether the business information base is matched according to the credit code. If the virtual fence is not in the enterprise information base, calling an address coding service according to the registered address to acquire coordinates, and comparing the coordinates with the virtual fence; if the enterprise registration address is in the enterprise information base, judging whether the enterprise registration address is changed, if the enterprise registration address is not updated, directly matching the information of the enterprise information base, if the enterprise registration address is changed, calling an address coding service according to the new registration address to acquire new coordinates, and comparing according to the virtual fence.
Step four: comparing the data with the virtual fence to determine whether the data is in the virtual fence
Before the batch enterprises are compared with the virtual fences, the registration addresses of the enterprises are converted into address coordinates (longitude and latitude) in advance through address coding service;
when the virtual fence is set, the virtual fence is mostly polygonal, and whether the address coordinates are inside the virtual fence is determined by a ray intersection method. The key point of the ray intersection method is to judge the number of intersection points of the ray and the boundary, judge whether the ray intersects the boundary by traversing each side of the polygon, and count the number of intersection points. If the number of intersection points is odd, the points are indicated to be inside the polygon; if even, the representation points are outside the polygon. The specific algorithm comprises the following steps:
initializing an intersection count count=0;
emitting a ray in the right horizontal direction from the point to be judged;
traversing each edge of the polygon, and judging whether the ray intersects with the boundary. If the ray coincides with the boundary (ray and boundary are collinear), then the edge is ignored; if the ray has an intersection point with the boundary (the ray intersects the boundary), the intersection point count is increased;
if the intersection point count is odd, the point to be judged is inside the polygon; if count is even, then the point is outside the polygon;
and generating a final result according to the algorithm step, judging the coordinates in the virtual fence, and identifying the enterprise in the virtual fence. And judging the coordinates outside the virtual fence, and recognizing that the enterprise is outside the virtual fence.
Step five: and updating the enterprise information base according to the judging result, and feeding back the enterprise information in the area.
Step six: pushing the data to a statistics system for use;
likewise, the above-mentioned effects can be achieved by the enterprise information statistical system constructed by referring to the above-mentioned method steps, and the system may specifically include:
the generation module is used for constructing a convex hull through a Graham scanning algorithm or a Jarvis stepping algorithm and drawing a virtual fence according to a boundary point set in the convex hull;
the rule setting module is used for setting a virtual fence rule according to the enterprise unified social credit code determined to be in the regional boundary;
the judging module compares and judges all enterprises according to the virtual fence rule, then compares the enterprises which are judged not to be in the virtual fence by a ray intersection method, and finally generates judging results of all enterprises;
and the data updating module is used for updating the data of the enterprise information determined by the judging module to be in the virtual fence.
After the function of creating the virtual fence serves the upper application, enterprises in the park can be accurately identified, and the accuracy and consistency of enterprise information are ensured; real-time enterprise data and state information can be provided for the area, so that rapid and accurate enterprise management in the area is facilitated, such as enterprise migration and export, accurate positioning of park enterprises and the like; the comprehensive data statistics and analysis including indexes such as revenue and tax can be conveniently carried out in the area, so that the overall trend of the economy of the park and the development state of enterprises are known.
The method has the advantages that the efficiency and the precision of park management can be improved, and the park management is optimized; can attract more investors and entrepreneurs to enter the high and new areas and push the development of high and new technology industry; strategic planning and policy measures can be better formulated, and the competitiveness and influence of the park are improved.
Furthermore, the method steps and system described above may be stored on a computer readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In yet another aspect, the present invention further provides a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, is implemented to perform the method for analyzing service performance of a SaaS mode CRM system provided by the above methods, the method comprising: acquiring a service performance analysis request; the business performance analysis request is used for requesting analysis of reasons for influencing business performance when a plurality of tenants access a software operation service (SaaS) mode Customer Relationship Management (CRM) system; the tenant is a tenant with a standard product function or a tenant with a standard product function and a service expansion function; analyzing reasons affecting service performance when each tenant accesses the SaaS mode CRM system based on the service performance analysis request and log information of each tenant when executing at least one service logic, so as to obtain reasons affecting service performance; the log information includes tenant identification and execution time-consuming information. The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, 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 understand and implement the present invention without undue burden.
The technical scope of the present invention is not limited to the above description, and those skilled in the art may make various changes and modifications to the above-described embodiments without departing from the technical spirit of the present invention, and these changes and modifications should be included in the scope of the present invention.
Claims (9)
1. A method for enterprise information statistics within regional boundaries, comprising the steps of:
s1, constructing a convex hull corresponding to a region boundary, and drawing a polygonal virtual fence on an electronic map according to a boundary point set in the convex hull;
s2, setting a virtual fence rule according to the enterprise information base determined to be in the regional boundary;
s3, importing an enterprise list, judging whether the enterprise is in the virtual fence according to the virtual fence rule in S2,
and if so, determining whether the enterprise registration addresses are changed and updated consistently,
if not, address coding service is called to convert the enterprise address into longitude and latitude coordinates, and then a ray intersection method is used for determining whether the longitude and latitude coordinates corresponding to the enterprise are in the virtual fence;
and S4, updating the enterprise information base according to the judgment result of the S3.
2. A method for regional in-border business information statistics as in claim 1, wherein: the convex hull in the step S1 is specifically constructed as follows,
collecting all points used for defining the boundary of the fence, wherein each point has corresponding longitude and latitude coordinates;
determining a starting point of the convex hull, wherein the starting point is a point with the minimum dimension and the minimum longitude in all boundary points;
sequencing the rest boundary points according to the polar angle between the starting point and each rest boundary point, wherein the polar angle is an anticlockwise angle relative to the horizontal line of the starting point;
the convex hull is constructed by Graham scanning algorithm or Jarvis stepping algorithm.
3. A method for regional in-border business information statistics as in claim 2, wherein: the Graham scanning algorithm builds convex hulls as follows,
creating an empty stack, and pushing the starting point and the first boundary point after sequencing to the stack;
traversing the sequenced boundary points, for each boundary point, if the steering formed by the current boundary point and two points at the top of the stack is anticlockwise, stacking the boundary point, otherwise, repeating the stack-pulling operation until the current boundary point and the two points at the top of the stack form anticlockwise steering;
after traversing all boundary points, the points in the stack are the points forming the convex hull.
4. A method for regional in-border business information statistics as in claim 1, wherein: in the step S1, the virtual fence drawing further includes a step of defining attribute information of the virtual fence.
5. A method for regional in-border business information statistics as in claim 1, wherein: the enterprise information base in the step S2 includes unified social credit codes, enterprise names, enterprise addresses, campuses and coordinates, and the triggering parameter of the virtual fence rule is a unified social credit code.
6. A method for regional in-border business information statistics as in claim 1, wherein: in the step S3, the step of determining the ray intersection method is as follows,
initializing an intersection count count=0;
emitting a ray in the right horizontal direction from the point to be judged;
traversing each edge of the polygonal virtual fence, judging whether the ray intersects with the boundary, if the ray coincides with or is collinear with the boundary, ignoring the edge, and if the ray has an intersection point with the boundary, increasing an intersection point count;
if the intersection point count is odd, the point to be judged is inside the virtual fence; if count is even, then the point is outside the virtual fence.
7. A system for enterprise information statistics within regional boundaries, comprising:
the generation module is used for constructing a convex hull through a Graham scanning algorithm or a Jarvis stepping algorithm and drawing a virtual fence according to a boundary point set in the convex hull;
the rule setting module is used for setting a virtual fence rule according to the enterprise unified social credit code determined to be in the regional boundary;
the judging module compares and judges all enterprises according to the virtual fence rule, then compares the enterprises which are judged not to be in the virtual fence by a ray intersection method, and finally generates judging results of all enterprises;
and the data updating module is used for updating the data of the enterprise information determined by the judging module to be in the virtual fence.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for enterprise information statistics within regional boundaries as claimed in one of the claims 1 to 6 when the program is executed by the processor.
9. A non-transitory computer readable storage medium having a computer program stored thereon, characterized by: the computer program is executed by a processor for carrying out the steps of the method for regional in-border business information statistics of one of the above claims 1 to 6.
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