CN105279181A - Quick updating method and system of electronic map of house - Google Patents

Abstract

The invention relates to a quick, accurate and automatic updating method and system of an electronic map of a house. The quick updating method comprises the following steps: a data source submodule automatically loads various types of new data sources into a system and preprocesses the new data; a spatial data processing and storage submodule processes and combines the new data to obtain new achievement data; the newl achievement data and the original data are subjected to overlay processing, and the new achievement data are added into a current situation layer to form a current situation primitive of the house; and a spatial data and business data hookup submodule matches the current situation primitive, which is formed in the spatial data processing and storage submodule, of the house with business data obtained from the data source submodule, and establishes a corresponding relationship between a general survey house primitive and a building in the business data so as to realize matchingand correlation between the spatial data and the business data. Situations, including a house total quantity, distribution and the like, can be mastered from a macroscopic view, and the quick updating method and system have an important meaning in getting the current situation of the house.

Description

Method and system for quickly updating house electronic map

technical field

The invention relates to a method for updating a house electronic map, in particular to a fast, accurate and automatic update method for a house electronic map, which belongs to the field of surveying and mapping geographic information.

Background technique

With the development of the surveying and mapping geographic information technology industry, maps have gradually changed from paper applications to electronic map applications. More and more electronic maps have appeared, providing great convenience for people's travel. However, at present, the electronic map update data sources mostly rely on manual surveying and mapping in the field, vehicle-mounted, remote sensing images, etc., and the update of the electronic map after data collection also requires a lot of manual operations. There are long map update cycles, high costs, and heavy workload. The current situation of the map is not good and other problems. At the same time, in the process of handling related business in the process of urban change, work such as surveying and mapping of urban change has been carried out, and the current situation data has actually been generated. How to make full use of the data generated by related businesses to realize the rapid and accurate update of the electronic map is an urgent problem to be solved.

In recent years, with the development of the surveying and mapping geographic information technology industry, my country's electronic map industry has made great progress; at the same time, with the development of the real estate industry, my country's housing geographic information industry has also achieved great development. More and more systems are being established, in which data is the blood of the housing geographic information system, and the accuracy and current status of data are particularly important in the housing geographic information system.

Therefore, there is an urgent need for an update system and an update method to update the electronic map of houses in our country, so as to make the update of the electronic map of houses quick and automatic.

Contents of the invention

The purpose of the present invention is to provide a method and system for quickly and accurately updating electronic maps of houses, so as to solve the problems of slow updating of electronic map data and high updating costs, improve the updating speed and current status of electronic maps, and reduce the updating costs of electronic maps.

The present invention is achieved through the following technical solutions:

A method for quickly updating a house electronic map, characterized in that it comprises the following steps:

A. The data source sub-module automatically loads various new data sources into the system, and preprocesses the new data, and stores the standardized data in the database sub-module; throws out the non-standard data that does not meet the requirements, for manual processing;

B. Spatial data processing and warehousing sub-modules process and merge new data to obtain new result data;

C. The spatial data processing and warehousing sub-module superimposes and merges the newly added achievement data and historical data to obtain the layer data of the current housing situation;

D. The spatial data and business data linking sub-module matches the housing status graphic elements formed in the spatial data processing and warehousing sub-module with the business data obtained in the data source sub-module, and establishes the census housing graphic elements and business data. The corresponding relationship between the buildings, so as to realize the docking and association of spatial data and business data.

The data processing described in step B also includes the generation of unique codes for spatial data and attribute identification.

Step C superposition processing and merging is specifically to judge whether the original data is covered by the new achievement data, if it is determined that it is completely covered, then process the data; if it is determined that it is partially covered, then throw away the original data and the new achievement data into their respective layers to be processed manually.

Step D is specifically: automatically match all the spatial data and business data according to the attributes, and automatically record the corresponding relationship and matching identification for the spatial data and business data that can be completely matched; the spatial data and business data that cannot be automatically matched, After being thrown out by the program, manual intervention is required. The provided manual association function interprets and analyzes these primitive attributes and buildings, and finally determines the unique matching relationship for association, and records the matching identification at the same time.

The spatial data mentioned above includes newly added surveying and mapping data, current data and historical data, and the business data includes transaction data, ownership data and demolition data.

A system for quickly updating a house electronic map, characterized in that it includes:

The data source sub-module is used to automatically load various data sources into the system, preprocess the newly added data, and store the standardized data in the database sub-module; throw out the non-standard data that does not meet the requirements for manual processing;

Spatial data processing and warehousing sub-modules are used to process and merge new data to obtain new result data;

Spatial data and business data are linked sub-modules, which are used to superimpose the newly added achievement data and the original data, and add the newly added achievement data to the status quo layer to form the housing status graphic element, and process and store the spatial data Match the housing status graphic elements formed in the sub-module with the business data obtained in the data source sub-module, and establish the corresponding relationship between the census housing graphic elements and the buildings in the business data, so as to realize the connection between spatial data and business data associated with.

The database sub-module is divided into status area, waiting area and history area; the status area is used to store the latest update data; the waiting area is used to store the data to be processed; the history area is used to store the historical data.

The data source sub-module automatically loads various data sources into the system, preprocesses the data, and stores the standardized data in the database sub-module; throws out non-standard data that does not meet the requirements for manual processing; spatial data The processing and warehousing sub-module processes and merges new surveying and mapping data to obtain new surveying and mapping result data; it also includes the generation of unique codes for spatial data and attribute identification; the spatial data processing and warehousing sub-module adds new surveying and mapping result data and original There is data to be superimposed, and the newly added surveying and mapping result data is added to the current layer; it also includes setting the capping ratio parameter; capping ratio parameter), if it is determined to be capped, then process the data; it also includes judging whether the original data is partially capped by the newly added surveying and mapping result data, if it is determined to be partly capped, the original data and the newly added surveying and mapping result The data is thrown into the respective manual processing layer; the spatial data and business data linking sub-module matches the housing status graph element formed in the spatial data processing and warehousing sub-module with the business data obtained in the data source sub-module, and establishes Census of the corresponding relationship between housing primitives and buildings in business data, so as to realize the docking and association of spatial data and business data; including automatic matching of all spatial primitive data and business data according to attributes, for complete matching The spatial data and business data automatically record the corresponding relationship and matching identification; the spatial data and business data that cannot be automatically matched need to be manually intervened after being thrown out by the program. , analysis, and finally determine the unique matching relationship for association, and record the matching identifier at the same time.

The technical solution of the present invention firstly realizes the automatic processing and acquisition of one map data of the real estate spatial data, and at the same time realizes the automatic association and matching of the spatial data and the business data.

After realizing spatial data processing and storage, a map of the current housing situation is formed, which is of great significance for a comprehensive understanding of the current housing status, and realizes the macroscopic grasp of the total number and distribution of housing. After the docking work of spatial data and business data, the "ownership data docking results database" was formed, which established a one-to-one correspondence between spatial primitives and business data, and realized the seamless docking between spatial data and business data , that is, the spatial location of the building is obtained from the business data, and the ownership information of the building is obtained from the business data, such as the number of households in the building, the right holder of each house, transaction status, etc. The "ownership data docking result data" formed in this stage of work can promote the housing management from extensive to refined management mode, and realize the total number and location of the city's housing from the macro level, to the micro level and the rights and transactions of each house. Information; Realize the intuitive understanding of the spatial location information of the house from the space, and analyze the transaction and other information of the house from the attribute, so as to provide a data basis for macro decision-making house management.

Description of drawings

Fig. 1 is a schematic diagram of a fast updating system of a house electronic map according to the present invention;

Fig. 2 is the flow chart of a kind of electronic map fast and accurate updating method of the present invention;

Fig. 3 is a schematic diagram of spatial data primitive encoding in a method for fast and accurate updating of an electronic map according to the present invention.

specific embodiment

In order to make the content of the present invention more clearly understood, the present invention will be further described in detail below according to the specific embodiments of the present invention and in conjunction with the accompanying drawings.

detailed description

Referring to Fig. 1, it is a schematic diagram of a fast updating system for house electronic maps according to the present invention. The system includes a data source loading sub-module, which is used to load various data sources into the system, preprocess new data, and store standard data into to the database sub-module; throw non-standard data that does not meet the requirements for manual processing;

The database sub-module is used to receive and store various data in the system;

Spatial data processing and warehousing sub-modules are used to process and merge new data to obtain new result data;

Spatial data and business data are linked sub-modules, which are used to superimpose the newly added achievement data and the original data, and add the newly added achievement data to the status quo layer to form the housing status graphic element, and process and store the spatial data Match the housing status graphic elements formed in the sub-module with the business data obtained in the data source sub-module, and establish the corresponding relationship between the census housing graphic elements and the buildings in the business data, so as to realize the connection between spatial data and business data associated with.

The database sub-module is divided into status area, waiting area and history area; the status area is used to store the latest update data; the waiting area is used to store the data to be processed; the history area is used to store the historical data.

The data source loading module loads relevant spatial data and business data into the system and preprocesses them, while the spatial data processing and warehousing module loads the newly added data after preprocessing, and processes the current data according to the set capping ratio parameters. Processing, add the new data to the housing status and write the deleted data into the historical data. The spatial data and business data connection module automatically associates the attribute data in the spatial data with the related attributes in the business data according to the set association attributes, throws out the data that cannot be associated, and manually associates them to realize the spatial data at last. Full association of data and business data.

Fig. 2 is a flowchart of a method for quickly and accurately updating an electronic map according to the present invention. The method includes the following steps, S0. The system sets the graph element gland scale parameter, S1. The data loading module loads spatial data and business data, S21. Spatial data The processing module processes the newly added spatial data, S22. judges whether the current graphic element is capped, if not, the newly added spatial data directly enters the current layer, and if it is capped, enters S23; S23. Covering the ratio, judging whether the current graphic element directly enters the history, if yes, then enters S3, if not, then the newly added graphic element and the capped graphic element are thrown into the layer to be processed, and enter S24; S24. Manually intervene in the layer data to be processed according to the actual situation, and process the capped primitives according to the situation; S3. Process the capped primitives into the historical layer, and process the newly added primitives into the current layer; S41. Spatial data and The business data association module automatically associates the attribute data; S42. judges whether the spatial data and the business data can be automatically associated, if not, then throws it to the list to be manually processed, and enters S43; S43. artificially associates the spatial data and the business data, and enters S4; S5. The spatial data and the business data are associated successfully.

Fig. 3 is a schematic diagram of spatial data primitive encoding in a method for fast and accurate updating of an electronic map according to the present invention. A primitive corresponds to a number code, primitive 1 corresponds to the code 11011100100001, primitive 2 corresponds to the code 11011100100002, and primitive n corresponds to the code 1101110010000n, which is the simplest case. By setting the encoding module in the spatial data processing system, the uniqueness of spatial data encoding and the association with business data can be better realized.

Claims (8)

1. A method for rapidly updating a house electronic map, comprising the following steps: A. The data source sub-module automatically loads various new data sources into the system, and preprocesses the new data, and stores the standardized data in the database sub-module; throws out the non-standard data that does not meet the requirements, for manual processing; B. Spatial data processing and warehousing sub-modules process and merge new data to obtain new result data; C. The spatial data processing and warehousing sub-module superimposes and merges the newly added achievement data and historical data to obtain the layer data of the current housing situation; D. The spatial data and business data linking sub-module matches the housing status graphic elements formed in the spatial data processing and warehousing sub-module with the business data obtained in the data source sub-module, and establishes the census housing graphic elements and business data. The corresponding relationship between the buildings, so as to realize the docking and association of spatial data and business data. 2. A method for rapidly updating a house electronic map according to claim 1, wherein step B further includes generation of a unique code for spatial data and attribute identification. 3. A method for rapidly updating a housing electronic map according to claim 1, wherein the step C is superimposed and merged, specifically judging whether the original data has been overwritten by the newly-added achievement data, and if it is determined that it has been completely overwritten , then process the data; if it is determined that it is partially covered, throw the original data and the newly added result data into their respective layers to be processed manually. 4. A method for rapidly updating a house electronic map according to claim 1, wherein step D is specifically: automatically matching all spatial primitive data and business data according to attributes, and fully matching spatial data and business data, automatically record the corresponding relationship and matching identification; the spatial data and business data that cannot be automatically matched need to be manually intervened after being thrown out by the program. Finally determine the unique matching relationship for association, and record the matching identifier at the same time. 5. A method for quickly updating a housing electronic map according to claim 1, wherein the data sources include census data, repair survey data, surveying and mapping data, transaction ownership data, land red line data and demolition data. 6. A method for quickly updating a house electronic map according to any one of claims 1-5, wherein the spatial data includes newly added surveying and mapping data, current data and historical data, and the business data includes transaction data , tenure data and demolition data. 7. A fast updating system for a house electronic map, characterized in that it comprises: The data source loading sub-module is used to load various data sources into the system, preprocess the newly added data, and store the standardized data in the database sub-module; throw out the non-standard data that does not meet the requirements for manual processing; The database sub-module is used to receive and store various data in the system; Spatial data processing and warehousing sub-modules are used to process and merge new data to obtain new result data; Spatial data and business data are linked sub-modules, which are used to superimpose the newly added achievement data and the original data, and add the newly added achievement data to the status quo layer to form the housing status graphic element, and process and store the spatial data Match the housing status graphic elements formed in the sub-module with the business data obtained in the data source sub-module, and establish the corresponding relationship between the census housing graphic elements and the buildings in the business data, so as to realize the connection between spatial data and business data associated with. 8. A kind of housing electronic map quick update system according to claim 7, is characterized in that, database submodule is divided into current situation area, waiting area and history area; Current area is used for storing latest update data; Waiting area is used for Store data to be processed; the history area is used to store historical data.