Railway GIS system multi-source data format conversion method research

Abstract

The invention discloses a railway GIS system multi-source data format conversion method research, and belongs to the technical field of data processing. The method comprises the following specific steps: S1, acquiring multi-source data; s2, identifying the data format of the obtained multi-source data; s3, analyzing coordinate data in the data according to the identified data format to obtain coordinate storage data; s4, converting the multi-source data into intermediate format data; and S5, performing data conversion on the intermediate format data and the coordinate storage data, performing data verification, and packaging the data into GIS calling data. By the adoption of the method, data of various types, types and formats are collected, data contact and system uploading are included, and the multi-source data comprise railway basic data, remote sensing image data, sensor data and meteorological data. And type identification and format conversion are carried out on the multi-source data, the format is unified, and calling and comprehensive display of the railway GIS system data are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a research on a method for converting multi-source data formats in a railway GIS system. Background Art

[0002] Existing data conversion methods only combine monitoring data and do not combine with the actual geographical environment. For example, the publication number CN112148265B discloses a meteorological observation data format conversion system and method, which is a standardized and easy-to-use meteorological observation data format conversion system that provides a unified meteorological observation data structure. In the railway management system, various types of data are obtained through data access and upload, such as basic data, remote sensing data, sensor data, meteorological data, etc. These data have significant differences in format, coordinate system, resolution, semantic structure, etc., resulting in difficulty in directly using the data in the GIS system. Summary of the Invention

[0003] The purpose of the present invention is to provide a research on a method for converting multi-source data formats in a railway GIS system to solve the above technical problems.

[0004] To achieve the above purpose, the present invention provides a research on a method for converting multi-source data formats in a railway GIS system, and the specific steps are as follows: Step S1: Obtain multi-source data; Step S2: Identify the data formats of the obtained multi-source data; Step S3: Parse the coordinate data in the data according to the identified data format to obtain coordinate storage data; Step S4: Convert the multi-source data into intermediate format data; Step S5: Perform data conversion on the intermediate format data and the coordinate storage data, and then perform data verification and encapsulate it into GIS call data.

[0005] Preferably, the method for obtaining multi-source data includes data access and system upload, and the multi-source data includes railway basic data, remote sensing image data, sensor data, and meteorological data.

[0006] Preferably, the process of data format identification is as follows: Step S21: Extract the signature information of the multi-source data, and the signature information includes file header information, metadata information, and file signature information; Step S22: Determine the initial multi-source data type through the file signature information, and then determine the multi-source data type according to the file header information or metadata information.

[0007] Preferably, the specific process of parsing the coordinate data in the data is as follows: Step S31: Extract the coordinate data field; Extract field information related to coordinates from multi-source data. According to the data type (such as JSON, XML, CSV, etc.), use parsing tools or custom scripts to locate the fields containing coordinate information.

[0008] Step S32: Identify the coordinate system type; According to the metadata information or data content, identify the coordinate system type to which the coordinate data belongs. If it is not clearly marked in the metadata, it can be inferred through the coordinate value range or other coordinate features.

[0009] Step S33: Coordinate transformation; According to the identified coordinate system type, select appropriate coordinate transformation rules, and use the corresponding transformation algorithms or tools to transform the coordinate data. Step S34: Output in transformed format; Store the transformed coordinate data into the target data structure and output it in the specified format.

[0010] Preferably, the specific process of parsing the coordinate data in the data is as follows: Step S31: Extract coordinate data fields; Step S32: Identify the coordinate system type; According to the metadata information or data content, identify the coordinate system type to which the coordinate data belongs. If it is not clearly marked in the metadata, identify it through the coordinate value range or coordinate features. Step S33: Select the corresponding coordinate transformation rule according to the identified coordinate system type to transform the coordinate system, transform it into the same type of coordinate system, and perform coordinate calibration; Step S34: Output the transformed coordinate system; Store the transformed coordinate data into the target data structure and output it in the specified format.

[0011] Preferably, the intermediate format data supports the transformation of geometry, attributes, and metadata.

[0012] Preferably, parse the sensor detection data and convert the sensor detection data into CSV format or MP4 format.

[0013] Preferably, parse the railway basic data and convert the basic data into SHP data or JSON format.

[0014] Preferably, parse the remote sensing image data and convert the remote sensing image data into GeoTIFF or OSGB format or LAS format; parse the meteorological data and convert the meteorological data into GeoTIFF or CSV format or JSON format in real time.

[0015] Preferably, data verification includes geometric data topology relationship verification, attribute verification, and semantic verification; The topological relationship verification of geometric data includes self - intersection and polygon closure; The attribute verification includes the integrity and consistency of attribute fields; The semantic verification is to check the semantic consistency of data through a rule engine.

[0016] Therefore, the present invention adopts the above - mentioned research method for converting multi - source data formats of a railway GIS system, and has the following beneficial effects: It collects various categories, types, and formats of data, including data access and system upload. The multi - source data includes railway basic data, remote sensing image data, sensor data, and meteorological data. And it performs type recognition and format conversion on the multi - source data, unifying the format, which is convenient for the calling and comprehensive display of data in the railway GIS system.

[0017] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. Description of the Drawings

[0018] Figure 1 It is a flow chart of the research method for converting multi - source data formats of a railway GIS system according to the present invention. Detailed Embodiment

[0019] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by terms such as "upper", "lower", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the present invention is usually placed during use. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In the description of the present invention, it should also be noted that unless otherwise clearly specified and defined, the terms "set", "install", "connect" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the internal communication of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0020] The embodiments of the present invention will be described in detail below with reference to the drawings.

[0021] As Figure 1 shown, a research method for converting multi - source data formats of a railway GIS system includes the following specific steps: Step S1: Obtain multi - source data; The methods for obtaining multi - source data include data access and system upload. The multi - source data includes railway basic data, remote sensing image data, sensor data, and meteorological data.

[0022] Step S2: Identify the data format of the acquired multi-source data; Step S3: Parse the coordinate data in the data according to the identified data format to obtain coordinate storage data.

[0023] The data format identification process is as follows: Step S31: Extract the coordinate data field; Extract the field information related to coordinates from the multi-source data. According to the data type (such as JSON, XML, CSV, etc.), use a parsing tool or custom script to locate the field containing coordinate information.

[0024] Step S32: Identify the coordinate system type; Identify the coordinate system type to which the coordinate data belongs according to the metadata information or data content. If it is not clearly marked in the metadata, it can be inferred through the coordinate value range or other coordinate characteristics.

[0025] Step S33: Coordinate conversion; According to the identified coordinate system type, select an appropriate coordinate conversion rule, and use the corresponding conversion algorithm or tool to convert the coordinate data; Step S34: Output in converted format; Store the converted coordinate data in the target data structure and output it in the specified format.

[0026] Step S21: Extract the flag information of the multi-source data. The flag information includes file header information, metadata information, and file signature information; Step S22: Determine the initial multi-source data type through the file signature information, and then determine the multi-source data type according to the file header information or metadata information.

[0027] Step S4: Convert the multi-source data into intermediate format data. The intermediate format data supports the conversion of geometry, attributes, and metadata.

[0028] Step S5: After performing data conversion on the intermediate format data and coordinate storage data, perform data verification and encapsulate it into GIS call data.

[0029] In Step S5, parse the sensor monitoring data and convert the sensor monitoring data into CSV format or MP4 format.

[0030] Parse the railway basic data and convert the basic data into SHP data or JSON format.

[0031] Parse the remote sensing image data and convert the remote sensing image data into GeoTIFF or OSGB format or LAS format.

[0032] Parse the meteorological data and convert the meteorological data into GeoTIFF or CSV format or JSON format in real time.

[0033] Data verification includes geometric data topological relationship verification, attribute verification, and semantic verification; Geometric data topological relationship verification includes self - intersection and polygon closure; Attribute verification includes the integrity and consistency of attribute fields; Semantic verification is to check the semantic consistency of data through a rule engine.

[0034] The specific conversion results are shown in Table 1.

[0035] Table 1 Multi - source data format conversion results ; ; Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions of the present invention or make equivalent replacements, and these modifications or equivalent replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. Research on a method for converting multi-source data formats in a railway GIS system, characterized in that, The specific steps are as follows: Step S1: Obtain multi-source data; Step S2: Identify the data formats of the obtained multi-source data; Step S3: Parse the coordinate data in the data according to the identified data format to obtain coordinate storage data; Step S4: Convert the multi-source data into intermediate format data; Step S5: After performing data conversion on the intermediate format data and the coordinate storage data, conduct data verification and encapsulate it into GIS call data.

2. Research on the multi-source data format conversion method of a railway GIS system according to claim 1, characterized in that: The methods for obtaining multi-source data include data access and system upload. The multi-source data includes railway basic data, remote sensing image data, sensor monitoring data, and meteorological data.

3. A research on the multi-source data format conversion method of a railway GIS system according to claim 2, characterized in that, The process of data format identification is as follows: Step S21: Extract the flag information of the multi-source data. The flag information includes file header information, metadata information, and file signature information; Step S22: Determine the initial multi-source data type through the file signature information, and then determine the multi-source data type according to the file header information or metadata information.

4. A method for studying the conversion of multi-source data formats in a railway GIS system according to claim 3, characterized in that, The specific process of parsing the coordinate data in the data is as follows: Step S31: Extract the coordinate data fields; Step S32: Identify the coordinate system type; According to the metadata information or data content, identify the coordinate system type to which the coordinate data belongs. If it is not clearly marked in the metadata, identify it through the coordinate value range or coordinate characteristics; Step S33: Select the corresponding coordinate conversion rule according to the identified coordinate system type to convert the coordinate system, convert it into the same type of coordinate system, and perform coordinate calibration; Step S34: Output the converted coordinate system; Store the converted coordinate data in the target data structure and output it in a specified format.

5. A method for studying the conversion of multi-source data formats in a railway GIS system according to claim 4, characterized in that, The intermediate format data supports the conversion of geometry, attributes, and metadata.

6. A research on the method for converting multi-source data formats of a railway GIS system according to claim 5, characterized in that, Parse the sensor monitoring data and convert the sensor monitoring data into CSV format or MP4 format.

7. A method for studying the conversion of multi-source data formats in a railway GIS system according to claim 6, characterized in that, Parse the railway basic data and convert the basic data into SHP data or JSON format.

8. A research on the method for converting multi-source data formats of a railway GIS system according to claim 7, characterized in that, Parse the remote sensing image data and convert the remote sensing image data into GeoTIFF or OSGB format or LAS format; parse the meteorological data and convert the meteorological data into GeoTIFF or CSV format or JSON format in real time.

9. A method for studying the conversion of multi-source data formats in a railway GIS system according to claim 8, characterized in that, Data verification includes geometric data topology relationship verification, attribute verification, and semantic verification; The geometric data topology relationship verification includes self-intersection and polygon closure; The attribute verification includes the integrity and consistency of the attribute fields; The semantic verification is to check the semantic consistency of the data through a rule engine.

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