CN112445880A - Method and device for automatically gridding enterprise data in geographic space and related equipment - Google Patents
Method and device for automatically gridding enterprise data in geographic space and related equipment Download PDFInfo
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Abstract
The invention discloses a method, a device, computer equipment and a storage medium for automatically gridding enterprise data in geographic space, which are applied to the technical field of geographic space and used for solving the technical problems of low efficiency and low accuracy in the prior art of corresponding enterprise data to the geographic space. The method provided by the invention comprises the following steps: acquiring the name of each enterprise operation address and the longitude and latitude of the enterprise from pre-stored original data; matching the obtained name of the enterprise operation address with the actual geographic spatial position information to obtain target geographic spatial position information; calibrating the target geographic space position information of the corresponding enterprise through the acquired longitude and latitude of the enterprise; after the target geographic space position information is calibrated, storing the target geographic space position information in a field of the original data of the enterprise; and generating geospatial data corresponding to the enterprise according to the enterprise original data in which the target geospatial position information is stored.
Description
Technical Field
The invention relates to the technical field of geospatial, in particular to a method and a device for automatically gridding enterprise data geospatially, computer equipment and a storage medium.
Background
The enterprise data refers to a series of comprehensive information such as enterprise basic information, operation conditions, product achievements and the like, the operation address in the enterprise basic information has the characteristic of spatial geographic position distribution, and the function management department usually needs to intuitively know the accurate position of the enterprise, the street of the enterprise and the building of the enterprise from the perspective of the spatial geographic position in a map display mode, however, the change of the operation address of the enterprise brings great challenges to the management work of the relevant function department, and therefore, the automatic geographic spatial meshing of the enterprise data is indispensable.
Enterprise data is usually stored in a form of a traditional text document, Excel or a simple two-dimensional table in a database, and with the rise of Location Based Services (LBS), the data all have the requirement of geographic space gridding, however, one necessary condition of geographic space gridding is the spatial geographic position, the street and the building corresponding to the data, and at present, the main solution to the problem is as follows:
a large number of operating personnel carry paper or mobile devices to go to the geographical position represented by the enterprise operation address, obtain current coordinate information through a Global Positioning System (GPS) or Beidou equipment, record the obtained coordinate information on the paper or the mobile devices, and record road names corresponding to the positions, the streets and buildings where the positions belong. After the field operation is finished, collecting all the operator data, combining and organizing to generate a two-dimensional table with coordinate Information, and generating professional geospatial data from the two-dimensional table by a GIS (Geographic Information System) means.
The existing method for corresponding data to spatial geographic positions, streets and buildings needs a large amount of personnel and equipment to go to destinations for field investigation, is high in cost and long in time period, has the problems of untimely updating for newly-added enterprises and enterprises with changed business addresses, and easily causes errors in manually-subjectively recorded data to influence the accuracy.
Disclosure of Invention
The embodiment of the invention provides a method, a device and related equipment for automatically gridding enterprise data in a geographic space, and aims to solve the technical problems of low efficiency and low accuracy in the prior art for corresponding the enterprise data to the geographic space.
A method of automatically geospatially gridding enterprise data, the method comprising:
acquiring the name of each enterprise operation address and the longitude and latitude of the enterprise from pre-stored original data;
matching the obtained name of the enterprise operation address with the actual geographic spatial position information to obtain target geographic spatial position information;
calibrating the target geographic space position information of the corresponding enterprise through the acquired longitude and latitude of the enterprise;
after the target geographic space position information is calibrated, storing the target geographic space position information in a field of the original data of the enterprise;
and generating geospatial data corresponding to the enterprise according to the enterprise original data in which the target geospatial position information is stored.
An apparatus for automated geospatial meshing of enterprise data, the apparatus comprising:
the name acquisition module is used for acquiring the name of each enterprise operation address and the longitude and latitude of the enterprise from pre-stored original data;
the matching module is used for matching the acquired name of the enterprise operation address with the actual geographic spatial position information to obtain target geographic spatial position information;
the calibration module is used for calibrating the target geographic spatial position information of the corresponding enterprise through the acquired longitude and latitude of the enterprise;
the storage module is used for storing the target geographic spatial position information in a field of the original data of the enterprise after the target geographic spatial position information is calibrated;
and the geographic spatial data generation module is used for generating geographic spatial data corresponding to the enterprise according to the enterprise original data in which the target geographic spatial position information is stored.
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method for automated geospatial meshing of enterprise data when executing the computer program.
A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the above-mentioned method of automatically geospatially gridding enterprise data.
The invention provides a method, a device, computer equipment and a storage medium for automatically gridding enterprise data in geographic space, which are characterized in that the name of an enterprise business address is matched with actual geographic spatial position information to obtain target geographic spatial position information, the target geographic spatial position information of a corresponding enterprise is calibrated through the acquired longitude and latitude of the enterprise, after the calibration is passed, the target geographic spatial position information is stored in a field of original data of the enterprise, and the geographic spatial data of the corresponding enterprise is generated according to the original data of the enterprise in which the target geographic spatial position information is stored. According to the invention, the name of the enterprise business address is matched with the actual geographic spatial position information, and the matched target geographic spatial position information is calibrated through the latitude and longitude of the enterprise, so that the enterprise can automatically correspond to the correct target geographic spatial position according to the latest address when the name of the business address is changed, the efficiency of manually corresponding enterprise data to the geographic space is improved, the technical problem of inaccurate data caused by wrongly written or wrongly recorded in the process of manually corresponding the enterprise data to the geographic space is avoided, and the accuracy of the enterprise geographic spatial data is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic diagram of an application environment of a method for automated geospatial meshing of enterprise data in accordance with an embodiment of the invention;
FIG. 2 is a flow diagram of a method for automatically geospatially gridding enterprise data in accordance with one embodiment of the present invention;
FIG. 3 is a flow diagram of a method for automatically geospatially gridding enterprise data in accordance with another embodiment of the present invention;
FIG. 4 is a flow diagram of a method for automatically geospatially gridding enterprise data in accordance with yet another embodiment of the present invention;
FIG. 5 is a flow chart of an implementation of a point-in-plane algorithm in one embodiment of the present invention;
FIG. 6 is a flow chart of an implementation of a line-in-plane algorithm in one embodiment of the present invention;
FIG. 7 is a flow chart of an implementation of an algorithm for point-on-line segments in one embodiment of the present invention;
FIG. 8 is a schematic structural diagram of an apparatus for automated geospatial meshing of enterprise data in accordance with an embodiment of the present invention;
FIG. 9 is a schematic diagram of a computer device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. 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 invention.
The method for automatically geographic-spatial gridding of enterprise data provided by the present application can be applied to the application environment as shown in fig. 1, wherein the computer device includes but is not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices.
In the embodiment, a Geographic Information System (GIS) technology is mainly adopted, and street, road network and building data are combined to solve the problems that massive enterprise data cannot be accurately positioned on a map, the street of the enterprise is ambiguous and the building position of the enterprise is unclear through an automatic method. As shown in fig. 2, a method for automatically geospatially gridding enterprise data is provided, which is illustrated by using the method as an example in the computer device in fig. 1, and includes the following steps S101 to S105.
S101, obtaining the name of each enterprise operation address and the longitude and latitude of the enterprise from pre-stored original data.
The pre-stored original data is the original data of the enterprise legal person, which is stored when the enterprise is registered or put on record in the business bureau. The raw data typically also contains company profile introductions, company scope, contact details, enterprise size, etc., and is public data.
And S102, matching the acquired name of the enterprise operation address with the actual geographic spatial position information to obtain the target geographic spatial position information.
Fig. 3 is a flow chart of a method for automatically geographic-spatial gridding of enterprise data according to another embodiment of the present invention, wherein the name of the business address includes a building where the enterprise is located, as shown in fig. 3, the step S102 further includes the following step S301:
s301, the geographical spatial position information of the building in the name of the enterprise operation address is matched with the geographical spatial position information of the actual building through a fuzzy matching algorithm to obtain the geographical spatial position information of the target building.
The buildings include but are not limited to commercial houses, industrial parks, commercial office buildings, industrial building buildings, dual-purpose buildings for business and residential use, villas, residential districts, dormitories, community centers and the like, and the target buildings include geographical and spatial position information.
Geospatial position data describes the position of a ground object, which can be defined according to a geodetic reference system, and in order to accurately describe the spatial position of the object, in physics, a coordinate system is generally established by means of a mathematical method to describe the position of the object. The spatial position data describes the position of the ground object, and the position can be defined according to a geodetic reference system, such as geodetic longitude and latitude coordinates, and can also be defined as the relative position relation between the ground objects, such as spatial adjacency, inclusion and the like.
The fuzzy matching algorithm is also called fuzzy search, the fuzzy search aims to achieve that a user does not need to care about the structure of a search system, a string of characters or numbers can be input arbitrarily, and as long as the search range contains the information, the method can find out which table, which field or which specific position the information is contained in, and further can carry out more detailed query. Fuzzy search can achieve several goals: case and case do not need to be distinguished, fuzzy query before and after the case and the case need to be realized, fuzzy query without distinguishing characters from numbers, and fuzzy query irrelevant to a data model.
S103, calibrating the target geographic spatial position information of the corresponding enterprise through the acquired longitude and latitude of the enterprise.
As shown in fig. 3, the step S103 further includes the following step S302:
s302, calibrating the geographic spatial position information of the target building according to the acquired longitude and latitude of the enterprise.
And if the obtained longitude and latitude of the enterprise is the same as the longitude and latitude in the geographic spatial position information of the target building, judging that the geographic spatial position information is calibrated to be passed, otherwise, judging that the geographic spatial position information is not calibrated to be failed.
And S104, after the target geographic spatial position information is calibrated, storing the target geographic spatial position information in a field of the original data of the enterprise.
Fig. 4 is a flowchart of a method for automatically geographic-spatial meshing of enterprise data according to another embodiment of the present invention, in which in another embodiment, the name of the business address includes a road where the enterprise is located and the name of the business address includes a street where the enterprise is located, and after the target geographic-spatial location information calibration is passed, as shown in fig. 4, the step S102 further includes the following steps S401 to S404.
S401, all roads in a preset area including the target building are obtained from the actual geographic spatial position information.
In one embodiment, the preset area including the target building may be a district-level range or a county-level range including the target building.
S402, matching the target roads from the roads by taking the geographic spatial position information of the target building as a point and taking the acquired roads as line segments according to an algorithm of the point on the line segments.
Fig. 7 is a flowchart of an implementation of an algorithm of a point on a line segment in an embodiment of the present invention, as shown in fig. 7, the geospatial location information of the target building is a point, i.e., a target point P (X, Y), the broken line represents a corresponding road, and a line segment P1P2 is a starting point and a middle point on a broken line of the road, as shown in fig. 7, a determination flow of the algorithm of the point on the line segment includes the following steps:
1) set target point as P (x, y), segment start point P1(x1, y1), segment end point P2(x2, y2), and x1< x2, y1< y 2.
2) And calculating the point P on a straight line passing through the point P1P2 according to the cross multiplication (P-P1) × (P1-P2) ═ 0.
3) And judging that the target point is in a rectangle taking the starting point and the ending point of the line segment as diagonal vertexes. Namely: x is more than or equal to x1 and less than or equal to x2, and y is more than or equal to y1 and less than or equal to y 2.
Other special cases are as follows:
1) the line segment is parallel to the x-axis: y1 y2, if x1< x < x2, then the point is on the line.
2) The line segment is parallel to the y-axis: x1 x2, and if y1< y < y2, then the point is on the line.
3) And points are at the end points of the line segments: x is x1 and y is y1, or x is x2 and y is y2, the point is on the line.
Specifically, as shown in fig. 7, the following steps may be implemented:
acquiring line segments on the broken line, namely a starting point P1(x1, y1) and an end point P2(x2, y 2);
judging whether a target point P is at a segment end point, if so, judging that the point is on the segment, otherwise, judging that whether the segment P1P2 is parallel to an x axis, if so, judging that Y1< Y < Y2 is true, if so, judging that the point is on the segment, otherwise, judging that whether the segment is the last segment on the fold line, if so, judging that the point is not on the segment, otherwise, traversing the next segment on the fold line;
when the line segment P1P2 is not parallel to the X axis, judging whether the line segment P1P2 is parallel to the y axis, if so, judging whether X1< X < X2 is true, if so, judging that a point is on the line segment, otherwise, judging whether the line segment is the last line segment on the broken line, if so, judging that the point is not on the line segment, otherwise, traversing the next line segment on the broken line;
when the line segment P1P2 is not parallel to the x axis and not parallel to the y axis, judging whether (P-P1) (P1-P2) is 0, if so, judging whether a point P is in a rectangle with the line segment as a diagonal fixed point, if so, judging that the point is on the line segment, otherwise, judging whether the line segment is the last line segment on the broken line, if so, judging that the point is not on the line segment, otherwise, traversing the next line segment on the broken line;
and when (P-P1) (P1-P2) is not 0, judging whether the line segment is the last line segment on the broken line, if so, judging that the point is not on the line segment, and if not, traversing the next line segment on the broken line until the current line segment is the last line segment on the broken line.
Whether the target building belongs to a certain road can be judged through an algorithm on the point-to-line section, so that the target road is matched.
And S403, acquiring all streets of a preset area including the target building from the actual geographic spatial position information.
The street is an administrative division name, and the street also comprises a street administration range.
In one embodiment, the preset area including the target building may be a district-level range or a county-level range including the target building.
S404, matching the target street from the streets by taking the geographic spatial position information of the target building as a point and taking the obtained street regions as planes according to a point-in-plane algorithm.
Fig. 5 is a flowchart of an implementation of the point-in-plane algorithm in an embodiment of the present invention, where the algorithm process is as follows: and randomly drawing a polygon in the same plane, randomly positioning a point, then drawing a ray rightwards along the horizontal direction by taking the point as a starting point, judging that the point is in the polygon when the number of times of the ray crossing the polygon is a base number, and judging that the point is out of the polygon when the number of times of the ray crossing the polygon is an even number. The special cases comprise: the point is on one edge of the polygon; the point is on a certain vertex of the polygon; the ray just passes through the vertex of the polygon; the ray just coincides with a certain edge line of the polygon.
As shown in fig. 5, the point O represents the target building and the polygon represents the street area, and as shown in fig. 5, the point-in-plane algorithm includes the following steps:
the initial value of the counter is 0, a ray L is made from the point O to the right, the edge L 'of the polygon is traversed, whether the point O is on the L' is judged, and if yes, the counter is increased by 1;
if the point O is not on the L ', judging whether the L' is parallel to the L, if not, judging whether the L 'and the L have an intersection point, if so, judging whether the intersection point is an end point of the L', and if not, adding 1 to a counter;
if the intersection point is the end point of the L ', judging whether the L' is the last side, if so, judging whether the counter is an odd number, if so, judging that the point is in the plane, otherwise, judging that the point is out of the plane;
if the L 'and the L do not have an intersection point, judging whether the L' is the last side, if so, judging whether the counter is an odd number, if so, judging that the point is in the plane, otherwise, judging that the point is out of the plane;
if L 'is parallel to L, judging whether L' is the last side, if so, judging whether the counter is an odd number, if so, judging that the point is in the plane, otherwise, judging that the point is out of the plane;
and when the L ' is not the last side of the polygon, traversing the next side L ' of the polygon, repeating the steps until the L ' is the last side of the polygon, judging whether the counter is an odd number, if so, judging that the point is in the plane, and otherwise, judging that the point is out of the plane.
In the embodiment, whether the target building belongs to a certain street area can be judged through an in-plane-by-point algorithm, so that a target street is matched.
As shown in fig. 4, the step S104 is further a step S405 of:
s405, storing the geographic spatial position information of the target building, the target road and the target street in a field of the original data of the enterprise.
Optionally, the method for automatically geospatially gridding enterprise data further comprises:
when the geographic spatial position information of the target building is not passed through the calibration, acquiring the longitude and latitude of the target building in the geographic spatial position information;
and storing the longitude and latitude of the target building in a field of the original data as the longitude and latitude of the enterprise.
The embodiment is suitable for the situation of office building change in the enterprise office address, when the building in the name of the enterprise business address is changed, and when the latitude and longitude of the enterprise stored in the original data is not changed, the longitude and latitude of the target building obtained through matching are stored in the field of the original data as the latitude and longitude of the enterprise based on the building in the name of the changed enterprise business address through fuzzy matching of the building name, so that after the office address of the enterprise is changed, the latest latitude and longitude of the target building is automatically stored in the field of the original data, the latitude and longitude of the target building in the geographic spatial position information can be updated in time, and the updating efficiency and the authenticity of the enterprise position information are improved.
And S105, generating geospatial data corresponding to the enterprise according to the enterprise original data stored with the target geospatial position information.
GIS (Geographic Information Systems) technology is a product of crossing various disciplines, provides various spatial and dynamic Geographic Information in real time by adopting a Geographic model analysis method on the basis of Geographic space, and is a computer technology system for providing Geographic research and Geographic decision service. Its basic function is to convert tabular data, whether it comes from a database, spreadsheet file, or directly entered in a program, into a geographic graphic display, and then view, manipulate, and analyze the results of the display. The display range can be from intercontinental maps to very detailed block maps, and real objects include population, sales, transportation lines and other contents. GIS is a specific and very important spatial information system. The technology is used for collecting, storing, managing, processing, analyzing, displaying and describing relevant geographic distribution data in the whole or partial earth surface (including the atmosphere) space under the support of computer hardware and software systems.
According to the embodiment, the geographic space gridding of the enterprise data is automatically completed by combining the operation address in the enterprise data with street, road network and building data. Enterprise data can be automatically associated with streets, so that the streets to which the enterprises belong can be inquired, and the enterprises in the jurisdiction range can be inquired or classified and counted through the streets; the enterprise data can be automatically associated with the building, so that the query of the building where the enterprise is located is realized, and the enterprise in the building can be queried or classified and counted through the building; enterprise data can be automatically associated with a road network, so that the query of roads around the enterprise is realized, and the enterprises around the roads can be queried or classified and counted through the roads; and the geographical spatial position of the enterprise can be calibrated through the position information of the building.
Road network refers to a road system composed of various roads interconnected and interwoven into a net distribution in a certain area.
Optionally, the method for automatically geospatially gridding enterprise data further comprises:
and updating the buildings, roads and streets in the actual geospatial position information at preset time intervals.
In this embodiment, the method of updating the building, the road and the street to which the building belongs in the actual geospatial location information is similar to the method of matching the target road and the target street of the building from the various roads, the target road to which a certain building belongs may be matched by an algorithm on the point-to-line segment, and the target street to which the building belongs may be matched by an in-plane algorithm, which is not described herein again.
The street to which a certain road belongs can be judged through a line-in-plane algorithm, the line-in-plane algorithm is expanded based on a point-in-plane algorithm, and the line is in the plane only by judging that all nodes on the line are in the plane. Fig. 6 is a flowchart of an implementation of a line-in-plane algorithm according to an embodiment of the present invention, where a line segment in fig. 6 represents a road, and a plane therein represents each street, as shown in fig. 6, the line-in-plane algorithm specifically includes the following steps:
and acquiring a node on the line segment, judging whether the node is in the plane, if so, judging whether the node is the last node of the line segment, if so, judging that the line segment is in the plane, otherwise, taking the next node of the line segment as the current node, and circulating the step of the section until the node is the last node of the line segment. The line-in-plane algorithm is intended to determine that the line segment is in the plane when each node of the line segment is in the plane.
The line-in-plane algorithm proposed by the present embodiment can match each road to the corresponding target street.
The method for automatically gridding the enterprise data in the geographic space provided by the embodiment matches the name of the enterprise business address with the actual geographic space position information to obtain the target geographic space position information, calibrates the target geographic space position information of the corresponding enterprise according to the obtained longitude and latitude of the enterprise, stores the target geographic space position information in the field of the original data of the enterprise after calibration is passed, and generates the geographic space data of the corresponding enterprise according to the original data of the enterprise in which the target geographic space position information is stored. According to the invention, the name of the enterprise business address is matched with the actual geographic spatial position information, and the matched target geographic spatial position information is calibrated through the latitude and longitude of the enterprise, so that the enterprise can automatically correspond to the correct target geographic spatial position according to the latest address when the name of the business address is changed, the efficiency of manually corresponding enterprise data to the geographic space is improved, the technical problem of inaccurate data caused by wrongly written or wrongly recorded in the process of manually corresponding the enterprise data to the geographic space is avoided, and the accuracy of the enterprise geographic spatial data is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, an apparatus for automatically meshing an enterprise data with a geospatial space is provided, and the apparatus for automatically meshing an enterprise data with a geospatial space corresponds to the method for automatically meshing an enterprise data with a geospatial space in the above embodiments one to one. As shown in fig. 8, the apparatus 100 for automatically geographic-spatial gridding enterprise data includes a name acquisition module 11, a matching module 12, a calibration module 13, a saving module 14, and a geographic-spatial data generation module 15. The functional modules are explained in detail as follows:
the name acquisition module 11 is used for acquiring the name of each enterprise operation address and the longitude and latitude of the enterprise from pre-stored original data;
the matching module 12 is configured to match the obtained name of the enterprise operation address with actual geospatial location information to obtain target geospatial location information;
the calibration module 13 is configured to calibrate the target geospatial location information of the corresponding enterprise according to the obtained longitude and latitude where the enterprise is located;
the storage module 14 is configured to store the target geospatial location information in a field of the original data of the enterprise after the target geospatial location information is calibrated;
and the geospatial data generation module 15 is configured to generate geospatial data of a corresponding enterprise according to the enterprise raw data in which the target geospatial location information is stored.
Further, the matching module 12 includes:
the building matching unit is used for matching the building in the name of the enterprise operation address with the geographical spatial position information of the actual building through a fuzzy matching algorithm to obtain the geographical spatial position information of the target building;
the calibration module is specifically used for calibrating the geographic spatial position information of the target building according to the acquired longitude and latitude of the enterprise.
Further, the apparatus 100 for automatically geospatially gridding enterprise data further comprises:
the target building longitude and latitude acquisition module is used for acquiring the longitude and latitude of the target building in the geographic spatial position information when the geographic spatial position information of the target building is not passed through during calibration;
and the storage module is used for storing the longitude and latitude of the target building in the field of the original data as the longitude and latitude of the enterprise.
In other embodiments, the name of the business address includes a road on which the business is located, and the apparatus 100 for automatically geospatially meshing business data further includes:
the road acquisition module is used for acquiring all roads in a preset area including the target building from the actual geographic spatial position information;
the matching module 12 further includes a target road matching unit, where the target road matching unit is configured to match a target road from each road by using the geographic spatial location information of the target building as a point and using each acquired road as a line segment according to an algorithm on the line segment.
Optionally, the name of the business address includes a street where the business is located, and the apparatus 100 for automatically geospatially gridding business data further includes:
the street acquisition module is used for acquiring all streets of a preset area including the target building from the actual geographic spatial position information;
the matching module 12 further comprises a target street matching unit, which is configured to match a target street from the streets by taking the geospatial location information of the target building as a point and taking the obtained street regions as a plane according to an in-plane algorithm of the point.
Further optionally, the apparatus 100 for automatically geospatially gridding enterprise data further comprises:
and the updating module is used for updating the buildings, roads and streets in the actual geographic spatial position information at preset time intervals.
Where the terms "comprises" and "comprising," and any variation 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 modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not explicitly listed or inherent to such process, method, article, or apparatus, and such that a division of modules presented in this application is merely a logical division and may be implemented in an actual application in a further manner.
According to the device for automatically gridding the enterprise data in the geographic space, the name of the enterprise business address is matched with the actual geographic space position information to obtain the target geographic space position information, the target geographic space position information of the corresponding enterprise is calibrated according to the acquired longitude and latitude of the enterprise, after the calibration is passed, the target geographic space position information is stored in the field of the original data of the enterprise, and the geographic space data of the corresponding enterprise is generated according to the original data of the enterprise in which the target geographic space position information is stored. According to the invention, the name of the enterprise business address is matched with the actual geographic spatial position information, and the matched target geographic spatial position information is calibrated through the latitude and longitude of the enterprise, so that the enterprise can automatically correspond to the correct target geographic spatial position according to the latest address when the name of the business address is changed, the efficiency of manually corresponding enterprise data to the geographic space is improved, the technical problem of inaccurate data caused by wrongly written or wrongly recorded in the process of manually corresponding the enterprise data to the geographic space is avoided, and the accuracy of the enterprise geographic spatial data is improved.
For specific limitations of the apparatus for automatically and geospatially gridding enterprise data, reference may be made to the above limitations of the method for automatically and geospatially gridding enterprise data, which are not described herein again. The modules in the above-described apparatus for automatically geospatially meshing enterprise data may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external device through a network connection. The computer program, when executed by a processor, implements a method for automated geospatial meshing of enterprise data.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor when executing the computer program implementing the steps of the method for automated geospatial meshing of enterprise data of the above embodiments, such as the steps 101-105 and other extensions of the method and extensions of related steps shown in fig. 2. Alternatively, the processor, when executing the computer program, implements the functions of the modules/units of the apparatus for automatically geospatially gridding enterprise data in the above-described embodiments, such as the functions of modules 11 to 15 shown in fig. 8. To avoid repetition, further description is omitted here.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer device and which connects the various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, video data, etc.) created according to the use of the cellular phone, etc.
The memory may be integrated in the processor or may be provided separately from the processor.
In one embodiment, a computer-readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, implements the steps of the method for automated geospatial meshing of enterprise data of the embodiments described above, such as the steps 101-105 and other extensions of the method and related steps shown in fig. 2. Alternatively, the computer program when executed by the processor implements the functionality of the modules/units of the apparatus for automated geospatial meshing of enterprise data as described in the above embodiments, such as the functionality of modules 11 to 15 shown in fig. 8. To avoid repetition, further description is omitted here.
Taking a region in a city in Hunan province as an example, 77476 pieces of enterprise data are shared in the whole region, 100 pieces of enterprise information can be collected by one field worker in one day, 77476/100-774.76 days are shared, the cost is calculated according to 5000 yuan per month, and the daily cost is 5000/22-227.27 yuan. The total labor cost for the total available finished project is 774.76 × 227.27 — 176079.7 dollars.
By using the method, the device, the computer equipment and the storage medium for automatically gridding the enterprise data in the geographic space, the whole process is calculated for no more than 3 minutes, the consumption cost is negligible, the time and the labor cost can be greatly reduced, and the operation efficiency is improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method for automated geospatial meshing of enterprise data, the method comprising:
acquiring the name of each enterprise operation address and the longitude and latitude of the enterprise from pre-stored original data;
matching the obtained name of the enterprise operation address with actual geographic spatial position information to obtain target geographic spatial position information;
calibrating the target geographic space position information of the corresponding enterprise through the acquired longitude and latitude of the enterprise;
after the target geographic spatial position information is calibrated, storing the target geographic spatial position information in a field of the enterprise original data;
and generating geographic spatial data corresponding to the enterprise according to the enterprise original data in which the target geographic spatial position information is stored.
2. The method of claim 1, wherein the name of the business address comprises a building where the business is located, and the step of matching the obtained name of the business address with actual geospatial location information to obtain target geospatial location information comprises:
matching the building in the name of the enterprise operation address with the geographical spatial position information of the actual building through a fuzzy matching algorithm to obtain the geographical spatial position information of the target building;
the step of calibrating the target geospatial location information of the corresponding enterprise through the acquired longitude and latitude of the enterprise comprises:
and calibrating the geographic spatial position information of the target building according to the acquired longitude and latitude of the enterprise.
3. The method for automated geospatial meshing of enterprise data according to claim 2, further comprising:
when the geographic spatial position information of the target building is not passed through the calibration, acquiring the longitude and latitude of the target building in the geographic spatial position information;
and storing the longitude and latitude of the target building in a field of the original data as the longitude and latitude of the enterprise.
4. The method according to claim 2, wherein the name of the business address includes a road where the business is located, and the step of matching the obtained name of the business address with actual geospatial location information to obtain target geospatial location information comprises:
acquiring all roads in a preset area including the target building from actual geographic spatial position information;
and matching the target roads from the roads by taking the geographical space position information of the target building as points and the acquired roads as line segments according to an algorithm of the points on the line segments.
5. The method according to claim 2, wherein the name of the business address comprises a street where the business is located, and the step of matching the obtained name of the business address with actual geospatial location information to obtain target geospatial location information comprises:
acquiring all streets of a preset area including the target building from the actual geographic spatial position information;
and matching the target street from each street according to an in-plane algorithm of the point by taking the geographic spatial position information of the target building as the point and the obtained street area as the plane.
6. The method for automated geospatial meshing of enterprise data according to any one of claims 1 to 5, further comprising:
and updating the buildings, roads and streets in the actual geospatial position information at preset time intervals.
7. An apparatus for automated geospatial meshing of enterprise data, the apparatus comprising:
the name acquisition module is used for acquiring the name of each enterprise operation address and the longitude and latitude of the enterprise from pre-stored original data;
the matching module is used for matching the acquired name of the enterprise operation address with actual geographic spatial position information to obtain target geographic spatial position information;
the calibration module is used for calibrating the target geographic spatial position information of the corresponding enterprise through the acquired longitude and latitude of the enterprise;
the storage module is used for storing the target geographic spatial position information in a field of the enterprise original data after the target geographic spatial position information is calibrated;
and the geographic spatial data generation module is used for generating geographic spatial data corresponding to the enterprise according to the enterprise original data in which the target geographic spatial position information is stored.
8. The apparatus for automated geospatial meshing of enterprise data as recited in claim 7, wherein the matching module comprises:
the building matching unit is used for matching the building in the name of the enterprise operation address with the geographical spatial position information of the actual building through a fuzzy matching algorithm to obtain the geographical spatial position information of the target building;
the calibration module is specifically used for calibrating the geographic spatial position information of the target building according to the acquired longitude and latitude of the enterprise.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor when executing the computer program realizes the steps of the method for automatic geospatial meshing of enterprise data according to any one of claims 1 to 6.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method for the automated geospatial meshing of enterprise data according to any one of claims 1 to 6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114490624A (en) * | 2022-04-02 | 2022-05-13 | 北京融信数联科技有限公司 | Human-room-enterprise intelligent statistical method and system based on big data and readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537102A (en) * | 2015-01-13 | 2015-04-22 | 蔡树彬 | Positive geocoding service method and system for obtaining longitude and latitude |
| US20170358221A1 (en) * | 2016-06-10 | 2017-12-14 | ETAK Systems, LLC | Air traffic control of unmanned aerial vehicles via wireless networks |
| CN108647282A (en) * | 2018-05-03 | 2018-10-12 | 苏州朗动网络科技有限公司 | Corporation information query method, apparatus, computer equipment and readable storage medium storing program for executing |
| CN108763345A (en) * | 2018-05-14 | 2018-11-06 | 平安好房（上海）电子商务有限公司 | Method of calibration, user equipment, storage medium and the device of cell longitude and latitude |
-
2020
- 2020-10-20 CN CN202011125204.XA patent/CN112445880A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537102A (en) * | 2015-01-13 | 2015-04-22 | 蔡树彬 | Positive geocoding service method and system for obtaining longitude and latitude |
| US20170358221A1 (en) * | 2016-06-10 | 2017-12-14 | ETAK Systems, LLC | Air traffic control of unmanned aerial vehicles via wireless networks |
| CN108647282A (en) * | 2018-05-03 | 2018-10-12 | 苏州朗动网络科技有限公司 | Corporation information query method, apparatus, computer equipment and readable storage medium storing program for executing |
| CN108763345A (en) * | 2018-05-14 | 2018-11-06 | 平安好房（上海）电子商务有限公司 | Method of calibration, user equipment, storage medium and the device of cell longitude and latitude |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114490624A (en) * | 2022-04-02 | 2022-05-13 | 北京融信数联科技有限公司 | Human-room-enterprise intelligent statistical method and system based on big data and readable storage medium |
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