CN114548042A - Real estate unit space zone bit identification coding method, equipment and storage medium - Google Patents
Real estate unit space zone bit identification coding method, equipment and storage medium Download PDFInfo
- Publication number
- CN114548042A CN114548042A CN202210066703.9A CN202210066703A CN114548042A CN 114548042 A CN114548042 A CN 114548042A CN 202210066703 A CN202210066703 A CN 202210066703A CN 114548042 A CN114548042 A CN 114548042A
- Authority
- CN
- China
- Prior art keywords
- code
- unit
- real estate
- grid
- span
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000008569 process Effects 0.000 claims description 4
- 238000012946 outsourcing Methods 0.000 claims description 3
- 238000011160 research Methods 0.000 abstract 1
- 238000012827 research and development Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 7
- 230000008859 change Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 125000004122 cyclic group Chemical group 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/12—Use of codes for handling textual entities
- G06F40/126—Character encoding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Remote Sensing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a space location identification coding method, equipment and a storage medium of a real estate unit, wherein the method adopts a global grid subdivision method of a national standard 'earth space grid coding rule' according to the research and application result of a national key research and development plan special item-global position framework and a coding system in the field of natural resource real estate coding, and carries out space location identification according to the characteristics that the position, the size, the shape and other natural attributes of the real estate space unit are unchanged in a life cycle. The location identification code is composed of a fixed object unit location code (16 characters) and an independent property unit code (4 characters), and the total number of the location identification code is 20 characters. The positioning object unit zone bit code consists of a positioning grid code C0, a zone bit scale code L, an east span code E, a west span code W, a south span code S and a north span code N. Compared with the traditional real estate unit coding method, the coding method can be automatically generated by a program, and the codes have the functional characteristics of stability, position relevance, history traceability and the like.
Description
Technical Field
The invention relates to the technical field of geospatial information, which is mainly applied to the management and service of natural resource real estate registration and real estate registration information, in particular to a real estate unit space zone bit identification coding method, equipment and a storage medium.
Background
The existing real estate unit coding method is a coding rule established based on the administrative division management and ownership management concepts, has a lot of social attributes, and in practice, the problem of real estate unit coding adjustment is often caused by factors such as administrative division adjustment and ownership type change, real estate registration information which is submitted to a higher-level organization or issued is difficult to guarantee timely synchronous updating and accurate updating, the instability of real estate unit identification is caused by the changeability of the coding mechanism, and accurate information service cannot be provided by real estate registration information systems at all levels.
In order to avoid the changeability problem of the existing real estate unit coding method, a long-term stable coding mechanism capable of uniquely identifying and tracing the source needs to be established urgently.
Disclosure of Invention
The present invention is directed to a method, apparatus and storage medium for coding real estate unit space location identification, thereby solving the above-mentioned problems in the prior art.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a real estate unit space location identification coding method comprises the following steps:
s1, according to the real estate space unit in a life cycle in the location, size and shape of the nature attributes of the unchanged factors, space location coding, the location coding is composed of the location coding of the fixed object unit and the independent property right unit coding; the positioning object unit zone bit code consists of a positioning grid code C0, a zone bit scale code L, an east span code E, a west span code W, a south span code S and a north span code N;
s2, obtaining the location code of the positioning object unit, specifically comprising:
s21, performing mesh generation on the real estate unit to be coded according to the national standard 'earth space mesh coding rule', selecting the largest mesh in the real estate, and selecting the 27-level earth space generation mesh code on the left lower side of the central point of the largest mesh as a positioning mesh code CO;
s22, adopting 32 grids to completely cover the long-side span of the outsourcing rectangle of the real estate unit, determining the grid dimension, wherein the grid level corresponding to the grid dimension is the region dimension code L;
s23, taking the center of the largest grid found in the step S21 as a reference, and taking the numbers of extended grids in the east, south, west and north directions as an east span code E, a west span code W, a south span code S and a north span code N respectively;
s3, acquiring the independent title unit code: independent property units which can not subdivide the space shape in the building and belong to different property owners are numbered from 0001 to YYYYY in sequence in the fixing unit; otherwise the code is 0000.
Preferably, the real estate unit area code in step S1 is 20 characters, wherein the fixity unit area code is 16 characters in total, and the independent property unit code is 4 characters in total.
Preferably, step S21 further includes: selecting the maximum grids in the real estate unit, and if the number of the maximum grids is more than one, selecting the maximum grids positioned at the leftmost and the lowest positions in the whole real estate unit; for real estate of the ring topology class, the selection of the maximum grid is shown in fig. 5.
Preferably, the specific marking process for locating the grid code is as follows:
1) acquiring a maximum grid in the polygon according to the object coordinate string corresponding to the real estate unit, wherein the grid code is # # #;
2) calculating a 27-level grid code (0.5m) on the left lower side of the central point of the maximum grid in the real estate unit, wherein the 27-level grid code is # # #001111, and 54 bits are supplemented;
3) one bit 1 is supplemented after the 27-level grid code, and 55 bits are supplemented;
4) the positioning grid code C0 is obtained by converting the upper code from high order to low order into a character string consisting of 11 32-system characters.
Preferably, step S22 specifically includes:
(1) the long-side Span of the minimum bounding rectangle is calculated using the following formula:
Span=max((Wmax-Wmin),(Jmax-Jmin))
(2) calculate the Resolution of each grid when the Span is covered with 32 x 32 grids:
Resolution=Span/32;
(3) and (3) obtaining the minimum level corresponding to the grid Resolution obtained by the step (2) by table lookup, wherein the minimum level is used as a position scale code L:
L=min Layer(where Layer’s resolution>Resolution);
jmin is the longitude minimum value of the range of the fixed object unit, Wmin is the latitude minimum value of the range of the fixed object unit, Jmax is the longitude maximum value of the range of the fixed object unit, and Wmax is the latitude maximum value of the range of the fixed object unit.
Preferably, in step (3), when the size of the grid obtained by table lookup is larger than 27, the position scale code L is 27, and is converted into a 32-system code character.
Preferably, step S23 specifically includes:
(1) calculating east span code E:
(2) calculating a western span code W:
(3) calculating a south span code S:
(4) calculating a north span code N:
note:to round the symbol upward, Jmid is the longitude value of the positioning grid point, Wmid is the latitude value of the positioning grid point, Jmax is the maximum longitude value of the range of the stationary object unit, and Wmax is the maximum latitude value of the range of the stationary object unit.
It is another object of the present invention to provide a computer apparatus comprising a processor and a memory, said memory storing computer instructions, said processor being configured to execute said memory stored computer instructions to implement a real estate unit space location identification coding method.
It is a final object of the present invention to provide a computer readable storage medium storing a program or programs, the program or programs being executable by one or more processors for performing a real estate unit space location identification coding method.
The invention has the beneficial effects that:
the invention discloses a real estate unit space zone bit identification coding method, equipment and a storage medium, wherein the method has the following characteristics and advantages compared with the existing real estate unit coding rule:
first, the real estate unit space location identification code can be automatically generated by a program as long as the space coordinate information of the real estate unit is provided, and is fast and accurate.
Second, the encoding method achieves stability of encoding. Because the position, size, and shape of a real estate unit is invariant over the life cycle of the real estate unit, the code based on the real estate unit position, size, and shape is also invariant.
Third, the encoding enables the association of real estate units with spatial locations. Because the code is generated through the spatial position information of the real estate unit, the natural relation between the real estate unit information and the multi-topic spatial data can be established, and the real estate information query and retrieval and the multi-topic data integration based on the spatial position are realized.
Fourth, the encoding method enables tracing back historical changes in real estate unit registration information. The space zone bit identification coding method based on the real estate unit realizes the uniqueness and stability of the real estate unit codes, so that the change of the real estate unit information can be traced by means of the unique codes.
Fifthly, the space location identification coding method of the real estate unit mainly reflects that the natural attributes (position, size and shape) of the real estate unit and the existing real estate unit coding rules (mainly reflects social attributes, such as administrative property, right of land and property) can be independently used respectively or can be used in combination, so that the functional complementation of the two sets of coding rules is realized, and the analysis and service of the real estate registration information are enhanced.
Drawings
FIG. 1 is a real estate unit space location identification coding composition provided in embodiment 1;
FIG. 2 is a schematic diagram of the structure of the landing unit zone-code component provided in example 1;
FIG. 3 is an explanatory view of the positioning unit region coding components provided in embodiment 1;
FIG. 4 is a schematic illustration of a positioning trellis code provided in example 1;
FIG. 5 is a schematic diagram of a grid code for cyclic real estate location;
FIG. 6 is a 32-ary character map employed in embodiment 1;
FIG. 7 is a schematic diagram of an embodiment of the application of the spatial location identification coding for real estate unit in embodiment 2;
FIG. 8 is a schematic diagram illustrating an exemplary implementation of the location correlation of real estate unit space location identification code in embodiment 2;
FIG. 9 is a schematic diagram of an exemplary implementation of the historical traceability application of the real estate unit space location identity code in embodiment 2.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
Example 1
The embodiment provides a real estate unit space location identification coding method, which comprises the following steps:
s1, according to the factor that the nature attribute of the real estate space unit is not changed in a life cycle, space location coding is carried out on the real estate space unit, and the location coding consists of a fixed object unit location coding and an independent property right unit coding; the positioning object unit zone code is composed of a positioning grid code C0, a zone dimension code L, an east span code E, a west span code W, a south span code S and a north span code N, as shown in FIG. 1 and FIG. 2;
s2, obtaining the location code of the object positioning unit, the principle is shown in FIG. 3, which specifically includes:
s21, performing grid division on the real estate unit to be coded according to the national standard 'geospatial grid coding rule', selecting the maximum grid in the real estate unit, and selecting the 27-level geospatial subdivision grid code on the left lower side of the central point of the maximum grid as a positioning grid code C0;
s22, adopting 32 grids to completely cover the long-side span of the real estate outsourcing rectangle, determining the grid dimension, wherein the grid level corresponding to the grid dimension is the region dimension code L;
s23, taking the center of the largest grid found in the step S21 as a reference, and taking the numbers of extended grids in the east, south, west and north directions as an east span code E, a west span code W, a south span code S and a north span code N respectively;
s3, acquiring the independent title unit code: independent property units which can not subdivide the space shape in the building and belong to different property owners are numbered from 0001 to YYYYY in sequence in the fixing unit; otherwise the code is 0000.
The real estate unit zone code in step S1 is 20 characters, wherein the fixup unit zone code is 16 characters in total, and the independent property unit code is 4 characters in total.
Step S21 further includes: and selecting the maximum grid in the real estate unit, and if the number of the maximum grids is more than one, selecting the maximum grid positioned at the leftmost and lowest position in the whole real estate unit.
The specific marking process for locating the grid code is as follows:
1) acquiring a maximum grid in the polygon according to the object coordinate string corresponding to the real estate unit, wherein the grid code is # # #;
2) calculating 27-level grid codes on the left lower side and the left lower side of the central point of the maximum grid in the real estate unit, wherein the 27-level grid codes are # # #001111, and 54 bits are filled;
3) one bit 1 is supplemented after the 27-level grid code, and 55 bits are supplemented;
4) the positioning grid code C0 is obtained by converting the upper code from high order to low order into a character string consisting of 11 32-system characters.
Step S22 specifically includes:
(1) the long-side Span of the minimum bounding rectangle is calculated using the following formula:
Span=max((Wmax-Wmin),(Jmax-Jmin))
(2) calculate the Resolution of each mesh when the Span is covered with 32 meshes:
Resolution=Span/32;
(3) and (3) obtaining the minimum level corresponding to the grid Resolution obtained by the step (2) by table lookup, wherein the minimum level is used as a position scale code L:
L=min Layer(where Layer’s resolution>Resolution);
jmin is the longitude minimum value of the range of the fixed object unit, Wmin is the latitude minimum value of the range of the fixed object unit, Jmax is the longitude maximum value of the range of the fixed object unit, and Wmax is the latitude maximum value of the range of the fixed object unit.
In this embodiment, in step (3), when the size of the grid obtained by table lookup is larger than 27, the position scale code L is 27, and is converted into a 32-ary coded character, and the 32-ary coded character map is shown in fig. 6.
In this embodiment, the calculation process of the east stride code E, the west stride code W, the south stride code S, and the north stride code N in step S23 specifically includes:
(1) calculating east span code E:
(2) calculating a western span code W:
(3) calculating a south span code S:
(4) calculating a north span code N:
note:in order to get the whole symbol upward, Jmid is the minimum longitude value of the range where the stationary unit is located, Wmid is the minimum latitude value of the range where the stationary unit is located, Jmax is the maximum longitude value of the range where the stationary unit is located, and Wmax is the maximum latitude value of the range where the stationary unit is located.
Example 2
In this embodiment, the method for coding the location identification code in the space of the real estate unit provided in embodiment 1 is applied to code real estate, and the coded position information of the real estate unit and the corresponding location identification code are respectively stored in the database; and respectively performing stability application, position relevance application and duration traceability application on the stored zone identification codes.
The application of stability is as follows:
because the zone identification code is irrelevant to the administrative division, even after the division is adjusted, the space zone identification code of the real estate unit does not change, as shown in fig. 7;
location relevance application:
by selecting the spatial position information of a certain position, inquiring the real estate unit and the zone bit identification code corresponding to the spatial position from the database, wherein a software operation interface diagram is shown in FIG. 8;
history traceability application:
when any real estate is registered, the real estate can be quickly registered based on the stored location identification code information, or all the historical registered information changes of the real estate corresponding to the location identification code can be quickly obtained based on the location identification code, and the software operation diagram is shown in fig. 9.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
the invention discloses a real estate unit space zone bit identification coding method and a management system, compared with the existing real estate unit coding rule, the method has the following characteristics and advantages:
first, the real estate unit space location identification code can be automatically generated by a program as long as the space coordinate information of the real estate unit is provided, and is fast and accurate.
Second, the encoding method achieves stability of encoding. Because the position, size, and shape of a real estate unit is invariant over the life cycle of the real estate unit, the code based on the real estate unit position, size, and shape is also invariant.
Third, the encoding enables the association of real estate units with spatial locations. Because the code is generated through the spatial position information of the real estate unit, the natural relation between the real estate unit information and the multi-topic spatial data can be established, and the real estate information query and retrieval and the multi-topic data integration based on the spatial position are realized.
Fourth, the encoding method enables tracing back historical changes in real estate unit registration information. The space zone bit identification coding method based on the real estate unit realizes the uniqueness and stability of the real estate unit codes, so that the change of the real estate unit information can be traced by means of the unique codes.
Fifthly, the space location identification coding method of the real estate unit mainly reflects that the natural attributes (position, size and shape) of the real estate unit and the existing real estate unit coding rules (mainly reflects social attributes, such as administrative property, right of land and property) can be independently used respectively or can be used in combination, so that the functional complementation of the two sets of coding rules is realized, and the analysis and service of the real estate registration information are enhanced.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements should also be considered within the scope of the present invention.
Claims (9)
1. A real estate unit space location identification coding method is characterized by comprising the following steps:
s1, according to the factor that the nature attribute of the real estate space unit is not changed in a life cycle, space location coding is carried out on the real estate space unit, and the location coding consists of a fixed object unit location coding and an independent property right unit coding; the positioning object unit zone bit code consists of a positioning grid code C0, a zone bit scale code L, an east span code E, a west span code W, a south span code S and a north span code N;
s2, obtaining the location code of the positioning object unit, specifically comprising:
s21, performing mesh generation on the real estate space unit to be coded according to the national standard 'earth space mesh coding rule', and selecting the 27-level earth space generation mesh code on the left lower side of the maximum mesh center point in the real estate unit as a positioning mesh code CO;
s22, adopting 32 grids to completely cover the long-side span of the real estate outsourcing rectangle, determining the grid dimension, wherein the grid level corresponding to the grid dimension is the region dimension code L;
s23, taking the center of the largest grid found in the step S21 as a reference, and taking the numbers of extended grids in the east, south, west and north directions as an east span code E, a west span code W, a south span code S and a north span code N respectively;
s3, acquiring the independent title unit code: independent property units which can not subdivide the space shape in the building and belong to different property owners are numbered from 0001 to YYYYY in sequence in the fixing unit; otherwise the code is 0000.
2. The method as claimed in claim 1, wherein the location code of real estate unit in step S1 is 20 characters, wherein the location code of the fixed estate unit is 16 characters in total, and the code of the independent property unit is 4 characters in total.
3. The method for coding real estate unit space location identification of claim 1 wherein step S21 further comprises: and selecting the maximum grid in the real estate unit, and if the number of the maximum grids is more than one, selecting the maximum grid positioned at the leftmost and lowest position in the whole real estate unit.
4. The method for coding real estate unit space location identification according to claim 3 wherein the specific marking process for locating the grid code is as follows:
1) acquiring a maximum grid in the polygon according to the object coordinate string corresponding to the real estate unit, wherein the grid code is # # #;
2) calculating 27-level grid codes on the left lower side and the left lower side of the central point of the maximum grid in the real estate unit, wherein the 27-level grid codes are # # #001111, and 54 bits are filled;
3) one bit 1 is supplemented after the 27-level grid code, and 55 bits are supplemented;
4) the positioning grid code C0 is obtained by converting the upper code from high order to low order into a character string consisting of 11 32-system characters.
5. The method for coding real estate unit space location identification according to claim 1 wherein step S22 specifically comprises:
(1) the long-side Span of the minimum bounding rectangle is calculated using the following formula:
Span=max((Wmax-Wmin),(Jmax-Jmin))
(2) calculate the Resolution of each mesh when the Span is covered with 32 meshes:
Resolution=Span/32;
(3) and (3) obtaining the minimum level corresponding to the grid Resolution obtained by the step (2) by table lookup, wherein the minimum level is used as a position scale code L:
L=min Layer(where Layer’s resolution>Resolution);
jmin is the longitude minimum value of the range of the fixed object unit, Wmin is the latitude minimum value of the range of the fixed object unit, Jmax is the longitude maximum value of the range of the fixed object unit, and Wmax is the latitude maximum value of the range of the fixed object unit.
6. The method as claimed in claim 5, wherein in step (3), when the size of the grid obtained by table lookup is larger than 27, the code L of the zone size is 27, and it is converted into 32-ary code characters.
7. The method for coding real estate unit space location identification according to claim 1 wherein step S23 specifically comprises:
(1) calculating east span code E:
(2) calculating a western span code W:
(3) calculating a south span code S:
(4) calculating a north span code N:
note:in order to get the whole symbol upward, Jmid is the minimum longitude value of the range where the stationary unit is located, Wmid is the minimum latitude value of the range where the stationary unit is located, Jmax is the maximum longitude value of the range where the stationary unit is located, and Wmax is the maximum latitude value of the range where the stationary unit is located.
8. A computer device comprising a processor and a memory, said memory storing computer instructions, said processor being configured to execute said memory stored computer instructions to implement the real estate unit space location identification coding method of any of claims 1-7.
9. A computer readable storage medium, storing one or more programs for execution by one or more processors to perform the real estate unit space location identification coding method of any of claims 1-7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210066703.9A CN114548042A (en) | 2022-01-20 | 2022-01-20 | Real estate unit space zone bit identification coding method, equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210066703.9A CN114548042A (en) | 2022-01-20 | 2022-01-20 | Real estate unit space zone bit identification coding method, equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114548042A true CN114548042A (en) | 2022-05-27 |
Family
ID=81671383
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210066703.9A Pending CN114548042A (en) | 2022-01-20 | 2022-01-20 | Real estate unit space zone bit identification coding method, equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114548042A (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108647332A (en) * | 2018-05-11 | 2018-10-12 | 北京大学 | A kind of administrative division spatial information method for organizing based on Global Grid |
US20190155847A1 (en) * | 2017-11-17 | 2019-05-23 | Battelle Memorial Institute | Spatial identification of assets using n-dimensional asset identifiers |
CN113515525A (en) * | 2021-07-29 | 2021-10-19 | 郑州众合景轩信息技术有限公司 | Spatial data organization method based on global multi-scale grid |
-
2022
- 2022-01-20 CN CN202210066703.9A patent/CN114548042A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190155847A1 (en) * | 2017-11-17 | 2019-05-23 | Battelle Memorial Institute | Spatial identification of assets using n-dimensional asset identifiers |
CN108647332A (en) * | 2018-05-11 | 2018-10-12 | 北京大学 | A kind of administrative division spatial information method for organizing based on Global Grid |
CN113515525A (en) * | 2021-07-29 | 2021-10-19 | 郑州众合景轩信息技术有限公司 | Spatial data organization method based on global multi-scale grid |
Non-Patent Citations (1)
Title |
---|
吴洪桥、郝硕、濮国梁、张敬波、何维、程承旗: "基于全球剖分网格的不动产编码研究", 《地理信息世界》 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107153711A (en) | Geographic information data processing method and processing device | |
Li et al. | An optimisation model for linear feature matching in geographical data conflation | |
CN103136371B (en) | Subdivision mark generating method and the data retrieval method of multi-source Spatial Data | |
Fogliaroni et al. | Data trustworthiness and user reputation as indicators of VGI quality | |
US20140100815A1 (en) | Method and apparatus for building and asset management | |
CN110909093A (en) | Method and device for constructing intelligent landmark control network | |
CN110334349B (en) | Method and device for automatically naming business district, computer equipment and storage medium | |
CN114692236B (en) | Big data-oriented territorial space planning base map base number processing method | |
CN111447292B (en) | IPv6 geographical position positioning method, device, equipment and storage medium | |
Clemen et al. | Level of Georeferencing (LoGeoRef) using IFC for BIM | |
CN114676368B (en) | Geographic entity information display method, device, equipment and medium based on identification code | |
CN101593210A (en) | A kind of demographic method and system that improve spatial resolution and renewal speed | |
CN109741209A (en) | Power distribution network multi-source data fusion method, system and storage medium under typhoon disaster | |
US9633474B2 (en) | Method and apparatus for generating a composite indexable linear data structure to permit selection of map elements based on linear elements | |
CN108595613A (en) | GIS local maps edit methods and device | |
CN111177289A (en) | Method and system for extracting and checking related information of data space of multi-source network | |
CN113272798B (en) | Map acquisition method, map acquisition device, computer equipment and storage medium | |
CN116431752A (en) | GIS data quality inspection and warehousing method oriented to distributed storage | |
CN113656477A (en) | Method for verifying and fusing multi-source heterogeneous data of homeland space | |
CN103280152A (en) | Building coding method based on longitude and latitude coordinate conversion code | |
He et al. | Design and implementation of a POI collection and management system based on public map service | |
CN114548042A (en) | Real estate unit space zone bit identification coding method, equipment and storage medium | |
CN116049521A (en) | Space-time data retrieval method based on space grid coding | |
Aragó et al. | A quality approach to volunteer geographic information | |
CN114238239B (en) | Survey delimitation report generation method and system based on python |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220527 |