CN113656477A - Method for verifying and fusing multi-source heterogeneous data of homeland space - Google Patents
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Abstract
The invention discloses a method for verifying and fusing multi-source heterogeneous data of a homeland space, and belongs to the field of urban and rural planning. The method comprises the steps of multi-source data acquisition and preprocessing, multi-source data verification, multi-source data fusion and multi-source data fusion result display and query. The method performs fusion, display and query on multi-source data in two modes of year division and space unit division on the basis of verifying the acquired multi-source heterogeneous data of the homeland space. The method can perform regular and flow fusion and display on the multi-source heterogeneous homeland space data, and can visually and conveniently inquire and analyze the existing homeland space data at the space unit level and the time axis level in the homeland space planning and compiling process; the method can ensure that the spatial data based on the territorial space planning compilation is more accurate and the utilization efficiency of the existing data is higher so as to compile a higher-quality territorial space planning scheme.
Description
Technical Field
The invention relates to the field of urban and rural planning, in particular to a method for verifying and fusing multi-source heterogeneous data in a homeland space.
Background
The territorial space planning data comprises current data, planning scheme data and historical data according to different data sources; wherein: the current situation data is divided into four types, namely basic mapping, resource investigation, urban and rural construction and others, and provides a data foundation for mastering the real current situation of a homeland space and the space development and utilization condition; the planning scheme data is divided into various levels of territorial space planning, special planning and detailed planning, and management and control data basis is provided for administrative approval and territorial space use control; historical data includes map data for the city from the past, recent, to the present.
At present, a method for processing homeland space planning data mainly collects and verifies historical data, current data and planning scheme data respectively and performs simple drawing overlapping processing. The method has the problems that data information is inaccurate, a drawing space coordinate system is not matched, historical and current situation space information cannot be aligned well, a designer cannot conveniently compare and select a scheme according to the current situation and the historical data, and the like, and can not achieve good fusion and convenient display of multi-source heterogeneous data in a homeland space.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for verifying and fusing multi-source heterogeneous data in a homeland space.
The purpose of the invention can be realized by the following technical scheme:
a processing method of multi-source heterogeneous data of a homeland space comprises the following steps:
acquiring multi-source heterogeneous data of the homeland space;
checking the multi-source heterogeneous data;
segmenting the checked data by taking the space unit as a boundary; associating the segmented data with the corresponding space units to generate a database of each space unit;
and associating the data of the database according to time.
Optionally, the multi-source heterogeneous data includes: one or more of historical data, presence data, planning plan data.
Optionally, the verifying the presence data includes the following steps: extracting geographic data in the presence data; and carrying out aerial photography for multiple times in the target area, extracting boundary information of aerial images, splicing the aerial images, and comparing and updating original geographic data.
Optionally, the checking of the historical data includes the following steps: identifying place name information marked on a map in historical data, matching the place name information with place name information in current data, and finding out a matched place name; and taking a space object corresponding to the place name information as a reference point, performing space positioning on the historical data and the current data, and inputting the historical data and the current data into a geographic information system.
Optionally, before the verification of the present data, a coordinate system is constructed, and the unified coordinate of the present data is input into a geographic information system; taking the coordinate system with the most quantity in the coordinate systems as a reference coordinate system; collecting coordinates of a plurality of space objects under a reference coordinate system and a non-reference coordinate system, converting space data with the coordinates of the non-reference coordinate system into coordinates with the reference coordinate system by using a conversion formula, and converting the space data with the coordinates of the non-reference coordinate system into coordinates with the reference coordinate system.
Optionally, in the historical data, selecting a plurality of spatial objects as reference points, and performing deformation operations of stretching, rotating and zooming on the historical map until the spatial objects in all the historical data are consistent with the spatial objects in the current data in spatial coordinates or the deviation is not greater than 10 meters; and if the space objects can not be completely consistent, selecting the deformation operation result when the space object has the maximum alignment quantity.
Optionally, the associating the data of the database according to time includes the following steps: establishing a time axis covering all data year labels, extracting the year labels of all data contained in the space units in the space unit database, linking the year labels to the time axis, and associating the space unit databases containing the same year labels with each other.
Optionally, the method further comprises the steps of: and providing a terminal for viewing the associated data, and searching the corresponding space unit according to the time tag or searching the data of the appointed time according to the space unit.
A computer readable storage medium storing computer instructions which, when executed, enable the processing method described above.
The invention has the beneficial effects that:
1. according to the invention, a homeland space multi-source heterogeneous space data verification, fusion, display and query platform is constructed by combining data verification equipment and a geographic information platform. The complexity of data calling and analyzing in the traditional territorial space planning design is facilitated, and the planning design flow is simplified. And in the second step, the unmanned aerial vehicle carrying the GPS locator is used for checking the current data, and the historical data is checked through the historical data and the current data space falling position, so that the accuracy of the homeland space data on which the planning and design is based is improved.
2. According to the method and the device, the territorial space data and the space unit information are associated with the time axis information, so that the territorial space data can be displayed and inquired through the space elements and the time axis, and the intuitiveness of the territorial space data display and the convenience of inquiry are improved.
3. According to the invention, three types of homeland space data, namely historical data, current data and planning scheme data, are positioned under a unified coordinate system in space, so that planning and design can be carried out more conveniently, intuitively and accurately according to the homeland space information in the process of the homeland space planning and design.
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The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method of some examples of the present application.
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 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.
In some examples of the present invention, as shown in fig. 1, a method for checking and fusing multi-source heterogeneous data in a homeland space is disclosed, which includes the following steps:
and acquiring multi-source heterogeneous data of a homeland space from a natural resource management department of a target city, wherein the multi-source heterogeneous data comprises historical data, current situation data and planning scheme data. Wherein the historical data comprises map data of the city from the ancient times, the recent times to the current times; the current situation data comprises the latest map data of basic mapping, resource survey and urban and rural construction in the city; the planning scheme data comprises map data of city-level territory space planning, special planning and detailed planning. And extracting the notary year corresponding to the spatial information expressed by each piece of data, and associating the year serving as a label with the data. If the year of the data generation includes a plurality of years, the earliest year is taken as the standard.
Checking the current data: and (3) unifying the current data into a geographic information system after coordinates are unified, and extracting boundary information contained in all the data and a GPS coordinate set corresponding to the boundary, wherein the boundary information comprises a block boundary, a water body boundary, a fort boundary and a plant zone boundary. And recording a GPS coordinate set into the GPS positioner by using an unmanned aerial vehicle carrying a 1-meter precision GPS positioner and a 1200-ten-thousand-pixel camera, and flying the unmanned aerial vehicle along the recorded GPS coordinate set in an aerial photography mode and shooting an aerial photography image every 10 meters. And splicing the aerial images to generate images with continuous boundaries and comparing the images with boundary information in a geographic information system. And if the boundary information is inconsistent with the boundary information, adjusting the boundary information in the geographic information system until the boundary information is completely consistent with the boundary information, and inputting the boundary information into the geographic information system.
And (4) historical data checking: and identifying the place name information marked on the map in the historical data, and matching the place name information with the place name information in the current data to find out the matched place name. And taking a space object corresponding to the place name information as a reference point, performing space positioning on the historical data and the current data, and inputting the historical data and the current data into a geographic information system. And (3) verifying planning scheme data: and (5) unifying the coordinates of the planning scheme data and then inputting the planning scheme data into a geographic information system.
Further, the method for unifying the coordinate system of the data of the current state soil space counts the information of the coordinate system of the current state data, and takes the coordinate system with the same amount of information as the coordinate system with the most information as a reference coordinate system; collecting coordinates of not less than 10 space objects under a reference coordinate system and a non-reference coordinate system, and establishing a conversion formula between the coordinates of the reference coordinate system and the coordinates of the non-reference coordinate system in data analysis software; and converting the spatial data with the non-reference coordinate system coordinates into the spatial data with the reference coordinate system coordinates by using a conversion formula.
Further, the method for acquiring the boundary information GPS coordinate set of the state soil space data collects information of at least 10 space objects of the state data under a reference coordinate system and a GPS coordinate system, and establishes a conversion formula between the reference coordinate system coordinates and the GPS coordinate system coordinates in data analysis software; and performing space point selection on the boundary of the current state soil space data at intervals of 2m, converting the space data with the reference coordinate system coordinates into the space data with the GPS coordinate system coordinates by using a conversion formula, wherein the conversion result is a current state soil space data boundary information GPS coordinate set.
Further, the method for performing space positioning on historical data and current data in the homeland space data includes selecting not less than 10 space objects as reference points in the step, and performing deformation operations of stretching, rotating and zooming on the historical map until the space objects in all the historical data are consistent with the space objects in the current data on the space coordinates or the deviation is not more than 10 meters; and if the space objects can not be completely consistent, selecting the deformation operation result when the space object has the maximum alignment quantity.
Establishing a spatial unit database: and dividing space units according to the boundary information of the verified current data, segmenting the verified current data, the historical data and the planning scheme data by taking the space units as boundaries, associating the segmented data with the corresponding space units, and generating a database of each space unit. The database is associated with a time axis: establishing a time axis covering all data year labels, extracting the year labels of all data contained in the space units in the space unit database, linking the year labels to the time axis, and associating the space unit databases containing the same year labels with each other.
Inputting a display device: inputting spatial unit database and time axis into screen resolution 1920
And in the computer equipment with the display memory of more than 1080 and more than 8GB, all the space units and the time axis containing the year label are displayed on the screen. Data are looked up in year: any year label is clicked on the time axis, and all the spatial units containing the year label can be inquired. Find data in spatial units: the historical data, the current data and the planning scheme data related to the space unit can be inquired by clicking any space unit, and the historical data, the current data or the planning scheme data of the year contained in the space unit can be inquired by clicking the year label.
In other examples of the present invention, a computer-readable storage medium storing computer instructions that, when executed, implement the verification and fusion method described above is disclosed. Wherein the instructions may be in a computer readable language. The computer may be a general purpose computing device or a special purpose computing device. In a specific implementation, the computer may be a desktop computer, a laptop computer, a network server, a Personal Digital Assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more integrated servers, data centers, and the like. For example, the storage medium may be, but is not limited to, a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a Digital Versatile Disk (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)).
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (9)
1. A processing method of multi-source heterogeneous data of a homeland space is characterized by comprising the following steps:
acquiring multi-source heterogeneous data of the homeland space;
checking the multi-source heterogeneous data;
segmenting the checked data by taking the space unit as a boundary; associating the segmented data with the corresponding space units to generate a database of each space unit; and associating the data of the database according to time.
2. The method for processing homeland space multi-source heterogeneous data according to claim 1, wherein the multi-source heterogeneous data comprises one or more of historical data, current situation data and planning scheme data.
3. The method for processing homeland space multi-source heterogeneous data according to claim 2, wherein the verification of the presence data comprises the following steps: extracting geographic data in the presence data; and carrying out aerial photography for multiple times in the target area, extracting boundary information of aerial images, splicing the aerial images, and comparing and updating original geographic data.
4. The method for processing homeland space multi-source heterogeneous data according to claim 2, wherein the verification of the historical data comprises the following steps: identifying place name information marked on a map in historical data, matching the place name information with place name information in current data, and finding out a matched place name; and taking a space object corresponding to the place name information as a reference point, performing space positioning on the historical data and the current data, and inputting the historical data and the current data into a geographic information system.
5. The method for processing multi-source heterogeneous data in a homeland space according to claim 3, wherein before the verification of the present data, a coordinate system is established, and the unified coordinate of the present data is input into a geographic information system; taking the coordinate system with the most quantity in the coordinate systems as a reference coordinate system; collecting coordinates of a plurality of space objects under a reference coordinate system and a non-reference coordinate system, establishing a conversion formula between the coordinates of the reference coordinate system and the coordinates of the non-reference coordinate system in data analysis software, and converting space data with the coordinates of the non-reference coordinate system into coordinates with the reference coordinate system.
6. The method for processing homeland space multi-source heterogeneous data according to claim 4, wherein in the historical data, a plurality of spatial objects are selected as reference points, and deformation operations of stretching, rotating and zooming are performed on the historical map until the spatial objects in all the historical data are consistent with the spatial objects in the current data in spatial coordinates or the deviation is not more than 10 meters; and if the space objects can not be completely consistent, selecting the deformation operation result when the space object has the maximum alignment quantity.
7. The method for processing the homeland space multi-source heterogeneous data according to claim 1, wherein the step of correlating the data in the database according to time comprises the following steps: establishing a time axis covering all data year labels, extracting the year labels of all data contained in the space units in the space unit database, linking the year labels to the time axis, mutually associating the space unit databases containing the same year label, and associating the data containing the same year label in the same space unit database.
8. The method for processing the homeland space multi-source heterogeneous data according to claim 1, further comprising the steps of: and providing a terminal for viewing the associated data, and searching the corresponding space unit according to the time tag or searching the data of the appointed time according to the space unit.
9. A computer-readable storage medium storing computer instructions which, when executed, implement the processing method of any one of claims 1 to 8.
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| CN112948421A (en) * | 2021-03-30 | 2021-06-11 | 重庆市规划和自然资源信息中心 | Mobile query method for planning natural resources |
| CN114385712A (en) * | 2022-01-11 | 2022-04-22 | 东南大学 | Country ecological landscape multi-source data space fusion method based on GNSS |
| CN115827938A (en) * | 2023-02-20 | 2023-03-21 | 四川省煤田测绘工程院 | Method for acquiring homeland space planning data, electronic device and computer readable medium |
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