CN113157843B - Geographic spatial data management method based on spatial gridding index - Google Patents
Geographic spatial data management method based on spatial gridding index Download PDFInfo
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Abstract
The invention discloses a geographic space data management method based on spatial grid index, which belongs to the technical field of geographic space data management methods, and comprises the steps of dividing a map into a plurality of grid units along longitude and latitude according to a set spatial step length, acquiring vectorized data of a plurality of residential buildings in the map community, matching a road section corresponding to each positioning element with the grid unit by combining the grid units corresponding to the road sections, reducing the complex mathematical calculation dimensionality to a plane level, realizing the correlation between the vectorized information and grid unit grid numbers, correlating the management of the corresponding area with the number of the corresponding position in a processing system each time, not only rapidly knowing the specific position data information in real time, but also reasonably allocating tasks during geographic space index through the area grid division technology, the management efficiency is improved.
Description
Technical Field
The invention relates to the technical field of geospatial data management methods, in particular to a geospatial data management method based on spatial gridding indexes.
Background
With the gradual application of the next generation high-precision navigation map facing active safety and community administration, map data gradually moves from basic navigation and guidance functions to advanced functions of vehicle body control and active safety, a data grid management function is fully applied to automatic management of communities so as to meet basic requirements of active safety and community administration, the existing grid management depends on a unified city management and digital platform, a city management area is divided into unit grids according to a certain standard, the grid management is based on data acquisition, five major elements of people, places, things and organizations in the area of the area are comprehensively acquired and managed mainly by grid workers, the data quantity after vectorization is very large, the fast acquisition of high-precision map data of communities is not facilitated, and the vectorization data quantity is large, moreover, the change is frequent, if only the operating system is used for managing the memory used by the data set, it is inevitable that a large amount of fragments are generated in the physical memory due to the problem of the allocation strategy of the operating system, on one hand, the memory waste is caused, on the other hand, the processing efficiency of the application system is affected, and meanwhile, how to efficiently reduce the screening range of the data during the data processing is an important problem, and therefore, a method for managing the geospatial data based on the spatial grid index is provided.
Disclosure of Invention
The present invention provides a geospatial data management method based on spatial grid index, so as to solve the problems proposed in the above background art.
In order to achieve the purpose, the invention provides the following technical scheme: a geographic space data management method based on spatial gridding index comprises the following specific steps:
s1: dividing a map into a plurality of grid units along longitude and latitude according to a set space step, acquiring vectorized data of a plurality of residential building in a map community, sequentially dividing the plurality of residential building into a plurality of road sections, and establishing a road section set corresponding to each residential building and the grid units corresponding to each residential building section;
s2: acquiring a sidewalk road group vectorized data set corresponding to each residential building and a corresponding positioning element vectorized data set, and storing the obtained sets in a processing system;
s3: sequentially carrying out sidewalk road group segmentation operation on a pedestrian road set and a road section set on each residential building section to obtain a plurality of sub-pedestrian road groups, and then establishing road section units corresponding to the sub-sidewalk road groups;
s4: acquiring a sidewalk road group vectorized data set corresponding to each sub-road section and a corresponding positioning element vectorized data set, and storing the obtained data sets into a processing system;
s5: filtering the vectorized data set of the sidewalk group and the corresponding vectorized data set of the positioning element corresponding to each residential building in the step S2, and the vectorized data set of the sidewalk group and the corresponding vectorized data set of the positioning element corresponding to each sub-road section in the step S4 to obtain a road section corresponding to each positioning element, and determining the road section corresponding to each positioning element and the corresponding grid unit thereof according to the information of the grid unit corresponding to the road section in the step S1;
s6: carrying out hierarchical division, storage and management on roads, road sections, sidewalk road groups and sub-pedestrian road groups in a geographic space in a processing system, and realizing gridding numbering on spatial grid units of each level, wherein the gridding numbering is specifically that the geographic space of each level is numbered through a certain logic rule;
s7: matching the vectorized data set of the sidewalk group corresponding to each residential building in the step S2 and the vectorized data set of the corresponding positioning element with the vectorized data set of the sidewalk group corresponding to each sub-road section in the step S4 and the vectorized data set of the corresponding positioning element with information in each gridded space in the processing system, and realizing the association of the vectorized information and gridded serial numbers of grid units, so that the management of each corresponding area is associated with the serial number of the corresponding position in the processing system;
s8: when the information is called, the processing system associates the task information with the corresponding grid unit codes, and then the processing system respectively calls the vectorization information stored in each grid unit space according to the problem to be solved and distributes the tasks.
The vectorized data of the plurality of residential building in the step S1 includes coordinate point data for describing the shape of the road, and the coordinate point data includes a center of sphere coordinate or a projection coordinate.
In the step S2, the sidewalk group vectorized data set corresponding to each road is used to describe coordinate point data of the shape of each pedestrian road in the sidewalk group, where the coordinate point data includes a spherical center coordinate or a projection coordinate, the corresponding positioning element vectorized data set is used to describe coordinate point data of the shape of the positioning element, and the coordinate point data includes a spherical center coordinate or a projection coordinate.
The gridding numbers corresponding to the spatial grid cells in the step S6 include item code rules and position code rules, where the item code rules are used to divide the main space into different types and different levels of specific items, and the position code rules are used to refine specific position attributes of the specific items, grid-divide the geographic space according to the item code rules and the position code rules, and number the divided grid cell regions according to certain logic rules.
And S7, the vectorization information is associated with the grid numbers of the grid units, so that the management of the corresponding areas is associated with the numbers of the corresponding positions in the processing system each time, the grid unit areas divided by the space are enabled to correspond to the grid numbers one by one, and the grid numbers correspond to the vectorization data sets divided by the geographic space one by one, thereby ensuring the independence and specificity of the grid numbers.
Compared with the prior art, the invention has the beneficial effects that:
the invention divides the map into a plurality of grid units along longitude and latitude according to the set space step length, acquires vectorized data of a plurality of residential buildings in the map, sequentially divides the residential buildings into a plurality of road sections, establishes a road section set corresponding to each road and a grid unit corresponding to each road section, reads the vectorized data on the geographic space, performs filtering operation on the vectorized data set and a corresponding positioning element vectorized data set, acquires the road section corresponding to each positioning element, realizes matching of the road section corresponding to each positioning element and the grid unit by combining the grid unit corresponding to the road section, realizes one-to-one correspondence, can realize subdivision of the grid unit, can reduce the complicated mathematical calculation dimension to a plane level, and simultaneously carries out hierarchical division, storage and management on the roads, the road sections, the sidewalk groups and the sub-person road groups in the geographic space by a processing system, and the grid numbering is realized for the spatial grid units of each level, the correlation between vectorization information and the grid numbering of the grid units can be realized, the management aiming at the corresponding region each time is correlated with the numbering of the corresponding position in the processing system, the specific position data information can be rapidly known in real time, and the reasonable allocation of task allocation during the geographic space indexing can be realized through the region grid dividing technology, so that the management efficiency is improved.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
A geographic space data management method based on spatial gridding index comprises the following specific steps:
s1: dividing a map into a plurality of grid units along longitude and latitude according to a set space step, acquiring vectorized data of a plurality of residential building in a map community, sequentially dividing the plurality of residential building into a plurality of road sections, and establishing a road section set corresponding to each residential building and the grid units corresponding to each residential building section;
s2: acquiring a sidewalk road group vectorized data set corresponding to each residential building and a corresponding positioning element vectorized data set, and storing the obtained sets in a processing system;
s3: sequentially carrying out sidewalk road group segmentation operation on a pedestrian road set and a road section set on each residential building section to obtain a plurality of sub-pedestrian road groups, and then establishing road section units corresponding to the sub-sidewalk road groups;
s4: acquiring a sidewalk road group vectorized data set corresponding to each sub-road section and a corresponding positioning element vectorized data set, and storing the obtained data sets into a processing system;
s5: filtering the vectorized data set of the sidewalk group and the corresponding vectorized data set of the positioning element corresponding to each residential building in the step S2, and the vectorized data set of the sidewalk group and the corresponding vectorized data set of the positioning element corresponding to each sub-road section in the step S4 to obtain a road section corresponding to each positioning element, and determining the road section corresponding to each positioning element and the corresponding grid unit thereof according to the information of the grid unit corresponding to the road section in the step S1;
s6: carrying out hierarchical division, storage and management on roads, road sections, sidewalk road groups and sub-pedestrian road groups in a geographic space in a processing system, and realizing gridding numbering on spatial grid units of each level, wherein the gridding numbering is specifically that the geographic space of each level is numbered through a certain logic rule;
s7: matching the vectorized data set of the sidewalk group corresponding to each residential building in the step S2 and the vectorized data set of the corresponding positioning element with the vectorized data set of the sidewalk group corresponding to each sub-road section in the step S4 and the vectorized data set of the corresponding positioning element with information in each gridded space in the processing system, and realizing the association of the vectorized information and gridded serial numbers of grid units, so that the management of each corresponding area is associated with the serial number of the corresponding position in the processing system;
s8: when the information is called, the processing system associates the task information with the corresponding grid unit codes, and then the processing system respectively calls the vectorization information stored in each grid unit space according to the problem to be solved and distributes the tasks;
the vectorized data of the plurality of residential building in the step S1 includes coordinate point data for describing the shape of the road, and the coordinate point data includes a center of sphere coordinate or a projection coordinate;
in the step S2, the sidewalk group vectorized data set corresponding to each road is used to describe coordinate point data of the shape of each pedestrian road in the sidewalk group, where the coordinate point data includes a spherical center coordinate or a projection coordinate, the corresponding positioning element vectorized data set is used to describe coordinate point data of the shape of the positioning element, and the coordinate point data includes a spherical center coordinate or a projection coordinate;
the gridding numbers corresponding to the space grid cells in the step of S6 comprise project code rules and position code rules, wherein the project code rules are used for dividing the main space into different types and different levels of specific projects, the position code rules are used for refining specific position attributes of the specific projects, the geographic space is gridded and divided through the project code rules and the position code rules, and the divided grid cell areas are numbered through certain logic rules;
and S7, the vectorization information is associated with the grid numbers of the grid units, so that the management of the corresponding areas is associated with the numbers of the corresponding positions in the processing system each time, the grid unit areas divided by the space are enabled to correspond to the grid numbers one by one, and the grid numbers correspond to the vectorization data sets divided by the geographic space one by one, thereby ensuring the independence and specificity of the grid numbers.
The invention divides the map into a plurality of grid units along longitude and latitude according to the set space step length, acquires vectorized data of a plurality of residential buildings in the map, sequentially divides the residential buildings into a plurality of road sections, establishes a road section set corresponding to each road and a grid unit corresponding to each road section, reads the vectorized data on the geographic space, performs filtering operation on the vectorized data set and a corresponding positioning element vectorized data set, acquires the road section corresponding to each positioning element, realizes matching of the road section corresponding to each positioning element and the grid unit by combining the grid unit corresponding to the road section, realizes one-to-one correspondence, can realize subdivision of the grid unit, can reduce the complicated mathematical calculation dimension to a plane level, and simultaneously carries out hierarchical division, storage and management on the roads, the road sections, the sidewalk groups and the sub-person road groups in the geographic space by a processing system, and the grid numbering is realized for the spatial grid units of each level, the correlation between vectorization information and grid numbering of the grid units can be realized, the management aiming at the corresponding area is correlated with the numbering of the corresponding position in the processing system every time, the grid unit areas of the spatial division and the grid numbering are prompted to be in one-to-one correspondence, the grid numbering and the vectorization data set of the geographic space division are in one-to-one correspondence, the independence and the specificity of the grid numbering are ensured, not only the specific position data information can be rapidly known in real time, but also the task allocation during the geographic space indexing can be reasonably allocated by the area grid division technology, the management efficiency is improved, the grid units utilize the simple relations between line segments and between points and surfaces, the geographic space data are managed by the grid units, and the labor cost is reduced.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A geographic space data management method based on spatial gridding index is characterized in that: the geospatial data management method comprises the following specific steps:
s1: dividing a map into a plurality of grid units along longitude and latitude according to a set space step, acquiring vectorized data of a plurality of residential building in a map community, sequentially dividing the plurality of residential building into a plurality of road sections, and establishing a road section set corresponding to each residential building and the grid units corresponding to each residential building section;
s2: acquiring a sidewalk road group vectorized data set corresponding to each residential building and a corresponding positioning element vectorized data set, and storing the obtained sets in a processing system;
s3: sequentially carrying out sidewalk road group segmentation operation on a pedestrian road set and a road section set on each residential building section to obtain a plurality of sub-pedestrian road groups, and then establishing road section units corresponding to the sub-sidewalk road groups;
s4: acquiring a sidewalk road group vectorized data set corresponding to each sub-road section and a corresponding positioning element vectorized data set, and storing the obtained data sets into a processing system;
s5: filtering the vectorized data set of the sidewalk group and the corresponding vectorized data set of the positioning element corresponding to each residential building in the step S2, and the vectorized data set of the sidewalk group and the corresponding vectorized data set of the positioning element corresponding to each sub-road section in the step S4 to obtain a road section corresponding to each positioning element, and determining the road section corresponding to each positioning element and the corresponding grid unit thereof according to the information of the grid unit corresponding to the road section in the step S1;
s6: carrying out hierarchical division, storage and management on roads, road sections, sidewalk road groups and sub-pedestrian road groups in a geographic space in a processing system, and realizing gridding numbering on spatial grid units of each level, wherein the gridding numbering is specifically that the geographic space of each level is numbered through a certain logic rule;
s7: matching the vectorized data set of the sidewalk group corresponding to each residential building in the step S2 and the vectorized data set of the corresponding positioning element with the vectorized data set of the sidewalk group corresponding to each sub-road section in the step S4 and the vectorized data set of the corresponding positioning element with information in each gridded space in the processing system, and realizing the association of the vectorized information and gridded serial numbers of grid units, so that the management of each corresponding area is associated with the serial number of the corresponding position in the processing system;
s8: when the information is called, the processing system associates the task information with the corresponding grid unit codes, and then the processing system respectively calls the vectorization information stored in each grid unit space according to the problem to be solved and distributes the tasks.
2. The geospatial data management method based on spatial gridding index according to claim 1, characterized in that: the vectorized data of the plurality of residential building in the step S1 includes coordinate point data for describing the shape of the road, and the coordinate point data includes a center of sphere coordinate or a projection coordinate.
3. The geospatial data management method based on spatial gridding index according to claim 1, characterized in that: in the step S2, the vectorized data set of the sidewalk road group corresponding to each residential building is used to describe coordinate point data of the shape of each pedestrian road in the sidewalk road group, and the coordinate point data includes a spherical center coordinate or a projection coordinate, the vectorized data set of the corresponding positioning element is used to describe coordinate point data of the shape of the positioning element, and the coordinate point data includes a spherical center coordinate or a projection coordinate.
4. The geospatial data management method based on spatial gridding index according to claim 1, characterized in that: the gridding numbers corresponding to the spatial grid cells in the step S6 include item code rules and position code rules, where the item code rules are used to divide the main space into different types and different levels of specific items, and the position code rules are used to refine specific position attributes of the specific items, grid-divide the geographic space according to the item code rules and the position code rules, and number the divided grid cell regions according to certain logic rules.
5. The geospatial data management method based on spatial gridding index according to claim 1, characterized in that: and S7, the vectorization information is associated with the grid numbers of the grid units, so that the management of the corresponding areas is associated with the numbers of the corresponding positions in the processing system each time, the grid unit areas divided by the space are enabled to correspond to the grid numbers one by one, and the grid numbers correspond to the vectorization data sets divided by the geographic space one by one, thereby ensuring the independence and specificity of the grid numbers.
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