A method, system, apparatus, and medium for generate an address of a building within a target area

Abstract

The invention relates to a method, a system, a device and a medium for generating a building address in a target area based on spatial analysis, wherein, a name feature word and a sequential feature word are extracted from address names of known buildings in the target area, wherein, the buildings with the same name feature word are the same redundant data set; In the same redundant data set, theaddress names of the buildings to be identified are generated according to the preset spatial relationship between the building surface vector data and the building surface vector data to be identified which satisfy the preset requirements by the sequential feature words. According to the preset spatial relationship among the buildings in the target area, The name feature words and the sequence feature words of the known building address names are used to determine the name feature words and the sequence feature words of the building to be recognized, which reduces the operation cost of the on-site collection, improves the operation efficiency, greatly improves the positioning and navigation accuracy of the navigation electronic map, and ensures the satisfaction of the user experience.

Description

technical field

[0001] The present invention relates to space analysis technology, in particular to a method, system, device and medium for generating addresses of buildings in a target area based on space analysis. Background technique

[0002] In recent years, navigation electronic maps have become one of the most frequently used applications in people's daily life. Building names are an important part of navigation electronic map data, but the current map data on the market generally lack building names, and navigation can only reach the gate of the target community, which seriously affects the user experience.

[0003] At present, there are mainly two ways to obtain the name of the building: on-site collection and purchase from the management department. But these two methods all have shortcomings. On-site collection has the problems of high cost and low efficiency; buying from the management department has the problem of confidentiality of data and cannot be sold. ...

Examples

Embodiment 1

[0073] This embodiment provides a method for generating addresses of buildings in a target area based on spatial analysis, including the following steps:

[0074] S1. Extract name feature words and sequential feature words from address names of known buildings in the target area, wherein buildings with the same name feature words are the same redundant data set.

[0075] S2. In the same redundant data set, generate the address name of the building to be identified according to the preset spatial relationship between the building face vector data whose sequential feature words meet the preset requirements and the building face vector data to be identified. To generate the address name of the building, steps S1-S2 are repeated.

[0076] S2 specifically includes:

[0077] S21a. Select the sequence feature words whose sequence feature words are not adjacent, and the sequence difference marked by the sequence feature words is within the preset range, and in the same redundant data...

Embodiment 2

[0148] The features of this embodiment that are the same as those of Embodiment 1 will not be described in detail. The features of this embodiment that are different from Embodiment 1 are:

[0149] Taking excavation of a target Jiangnan home (buildings in the community as an example), the specific steps of the above-mentioned method for generating addresses of buildings in the target area based on spatial analysis are introduced in detail:

[0150] S1. Data preparation. Prepare the area vector data of the plot and the area vector data of the outline of the building. And extract the address name of the existing building body, and identify the serial number of the building body name, that is, the sequential characteristic words in the address name of the known building body.

[0151] Specifically, the detailed process of step S1 is:

[0152] S11. Extract the address names of all existing buildings in a community.

[0153] S12. Using "building", "block", "building", and "build...

Embodiment 3

[0175]The features of this embodiment that are the same as those of Embodiment 1 will not be described in detail. The features of this embodiment that are different from Embodiment 1 are:

[0176] This embodiment provides a method for generating addresses of buildings in a target area based on spatial analysis, including the following steps:

[0177] S1. Extract name feature words and sequential feature words from address names of known buildings in the target area, wherein buildings with the same name feature words are the same redundant data set.

[0178] S2. In the same redundant data set, generate the address name of the building to be identified according to the preset spatial relationship between the building face vector data whose sequential feature words meet the preset requirements and the building face vector data to be identified. To generate the address name of the building, steps S1-S2 are repeated.

[0179] S2 is based on interpolation rules, including:

[0180...

technical field

[0001] The present invention relates to space analysis technology, in particular to a method, system, device and medium for generating addresses of buildings in a target area based on space analysis. Background technique

[0002] In recent years, navigation electronic maps have become one of the most frequently used applications in people's daily life. Building names are an important part of navigation electronic map data, but the current map data on the market generally lack building names, and navigation can only reach the gate of the target community, which seriously affects the user experience.

[0003] At present, there are mainly two ways to obtain the name of the building: on-site collection and purchase from the management department. But these two methods all have shortcomings. On-site collection has the problems of high cost and low efficiency; buying from the management department has the problem of confidentiality of data and cannot be sold. ...

Examples

Embodiment 1

[0073] This embodiment provides a method for generating addresses of buildings in a target area based on spatial analysis, including the following steps:

[0074] S1. Extract name feature words and sequential feature words from address names of known buildings in the target area, wherein buildings with the same name feature words are the same redundant data set.

[0075] S2. In the same redundant data set, generate the address name of the building to be identified according to the preset spatial relationship between the building face vector data whose sequential feature words meet the preset requirements and the building face vector data to be identified. To generate the address name of the building, steps S1-S2 are repeated.

[0076] S2 specifically includes:

[0077] S21a. Select the sequence feature words whose sequence feature words are not adjacent, and the sequence difference marked by the sequence feature words is within the preset range, and in the same redundant data...

Embodiment 2

[0148] The features of this embodiment that are the same as those of Embodiment 1 will not be described in detail. The features of this embodiment that are different from Embodiment 1 are:

[0149] Taking excavation of a target Jiangnan home (buildings in the community as an example), the specific steps of the above-mentioned method for generating addresses of buildings in the target area based on spatial analysis are introduced in detail:

[0150] S1. Data preparation. Prepare the area vector data of the plot and the area vector data of the outline of the building. And extract the address name of the existing building body, and identify the serial number of the building body name, that is, the sequential characteristic words in the address name of the known building body.

[0151] Specifically, the detailed process of step S1 is:

[0152] S11. Extract the address names of all existing buildings in a community.

[0153] S12. Using "building", "block", "building", and "build...

Embodiment 3

[0175]The features of this embodiment that are the same as those of Embodiment 1 will not be described in detail. The features of this embodiment that are different from Embodiment 1 are:

[0176] This embodiment provides a method for generating addresses of buildings in a target area based on spatial analysis, including the following steps:

[0177] S1. Extract name feature words and sequential feature words from address names of known buildings in the target area, wherein buildings with the same name feature words are the same redundant data set.

[0178] S2. In the same redundant data set, generate the address name of the building to be identified according to the preset spatial relationship between the building face vector data whose sequential feature words meet the preset requirements and the building face vector data to be identified. To generate the address name of the building, steps S1-S2 are repeated.

[0179] S2 is based on interpolation rules, including:

[0180...

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