A survey line index reconstruction method and system based on airborne geophysical database

Abstract

The present invention provides a survey line index reconstruction method and system based on an airborne geophysical database, relating to the field of airborne geophysical exploration. The method reads original survey line index data from the airborne geophysical database; performs coordinate rotation processing on the original survey line index data to make the survey line direction horizontal; constructs a survey line index model and writes the rotated north distance coordinate into the rD attribute of the model; writes the survey line index model into a main survey line set and a control line set according to the survey line type; sorts the survey line index models in the main survey line set and the control line set from small to large according to rD value; reallocates line numbers to the sorted survey line index models, and determines whether adjacent survey lines are duplicate lines; and writes the reconstructed survey line index into the database. By summarizing the airborne geophysical line index rules, the present invention proposes a survey line index reconstruction design scheme based on the airborne geophysical database, thereby achieving rapid and accurate reconstruction of the survey line index and improving data processing efficiency.

Description

Technical Field

[0001] The present invention relates to the field of aerial geophysical exploration, and in particular to a survey line index reconstruction method and system based on an aerial geophysical exploration database. Background Art

[0002] Airborne geophysical prospecting plays a vital role in geological exploration, mineral resource surveys, and environmental monitoring. In particular, the accuracy and integrity of data from aeromagnetic and airborne electromagnetic surveys directly impact subsequent analysis and decision-making. Airborne geophysical prospecting uses a flying platform, utilizing specialized geophysical instruments to collect geophysical information during flight. With the advancement of drone technology, drone-based geophysical surveys have gained widespread application, including production-based operations such as aeromagnetic, airborne electromagnetic, airborne gravity, and airborne gamma spectroscopy.

[0003] However, during drone operations, the designed survey network file did not conform to the format of the current GeoProbe Mager software, and the survey line indexes were disorganized, making it impossible to reconstruct the survey line indexes according to the normal survey network file. This seriously affected subsequent data processing. In a single flight database, survey line indexes can be reconstructed through manual editing. However, after the database merger, the survey area database contained a large number of survey lines, making manual editing time-consuming and labor-intensive, affecting work efficiency.

[0004] Therefore, it is necessary to propose a survey line index reconstruction method based on the airborne geophysical database, which can automatically and intelligently perform standardized sorting of survey lines, especially in terms of optimizing survey line type distinction, direction adjustment, and duplicate line identification. Summary of the Invention

[0005] In view of this, the present invention proposes a survey line index reconstruction method and system based on the airborne geophysical database. By summarizing the airborne geophysical line index rules and taking the airborne geophysical database as the object, a survey line index reconstruction design scheme is proposed to achieve rapid and accurate reconstruction of the survey line index and improve data processing efficiency.

[0006] The present invention is achieved by adopting the following technical solutions:

[0007] In a first aspect, the present invention provides a method for reconstructing a survey line index based on an airborne geophysical prospecting database, comprising the following steps:

[0008] Read the original survey line index data from the airborne geophysical database;

[0009] Perform coordinate rotation processing on the original survey line index data to make the survey line direction horizontal;

[0010] Build a survey line index model and write the rotated north distance coordinate into the rD attribute of the model;

[0011] Write the survey line index model into the main survey line set and the control line set according to the survey line type;

[0012] Sort the survey line index models in the main survey line set and the control line set by rD value from small to large;

[0013] Reassign line numbers to the sorted survey line index model and determine whether adjacent survey lines are duplicate lines;

[0014] Write the reconstructed survey line index into the database.

[0015] As a further solution of the present invention, the original survey line index data is read from the airborne geophysical database, and the angle of the first survey line is set as the main survey line angle by default, or a known angle is set as the main survey line angle, and the cutting line angle differs from the main survey line angle by 90°.

[0016] As a further solution of the present invention, when the coordinates are rotated, the original survey line index in the database is rotated to the horizontal direction according to the survey line angle, and the rotated north direction coordinates are sorted from small to large to obtain the line number sequence of the survey lines.

[0017] As a further solution of the present invention, coordinate rotation processing is performed on the original survey line index data, including the following steps:

[0018] The original survey line index is rotated according to the survey line angle and the coordinate origin so that the direction of the converted survey line is east-west. The formula for coordinate rotation is:

[0019] X1=(X-XO)*COS(rA)+(Y-YO)*SIN(rA);

[0020] Y1=(Y-YO)*COS(rA)-(X-XO)*SIN(rA);

[0021] Where X is the northing distance in the original coordinate system; Y is the easting distance in the original coordinate system; X1 is the northing distance after rotation; Y1 is the easting distance after rotation; XO is the northing distance of the rotation origin; YO is the easting distance of the rotation origin; rA is the rotation angle, which is negative for clockwise and positive for counterclockwise.

[0022] As a further solution of the present invention, the constructed survey line index model includes a survey line number, a flight number, a first and last reference number, and an rD attribute.

[0023] As a further solution of the present invention, when reassigning line numbers to the sorted survey line index model, main survey lines are numbered starting from 1000, control lines are numbered starting from 5000 or 9000, and the number increment of adjacent survey lines is 10.

[0024] As a further solution of the present invention, a method for determining whether adjacent survey lines are duplicate lines is as follows: calculating whether the difference in rD values ​​between adjacent survey lines meets a duplicate line threshold; if it is less than a preset duplicate line threshold, it is determined to be a duplicate line; otherwise, it is a new survey line.

[0025] In a second aspect, the present invention provides a survey line index reconstruction system based on an airborne geophysical prospecting database, comprising the following components:

[0026] Data reading module, used to read original survey line index data from the airborne geophysical database;

[0027] Coordinate rotation module, used to perform coordinate rotation processing on the original survey line index data;

[0028] Model building module, used to build survey line index model;

[0029] A classification storage module is used to store the survey line index model into the main survey line set and the control line set respectively;

[0030] A sorting module is used to sort the survey line index models in the main survey line set and the control line set;

[0031] The reconstruction module is used to reallocate line numbers to the sorted survey line index model and identify duplicate lines;

[0032] The data update module is used to write the reconstructed survey line index into the database.

[0033] As a further solution of the present invention, an angle determination module is further included, which is used to determine the main survey line angle, wherein the main survey line angle defaults to the angle of the first survey line, or is determined by setting a known angle.

[0034] As a further solution of the present invention, the coordinate rotation module uses the following formula to perform coordinate rotation:

[0035] X1=(X-XO)*COS(rA)+(Y-YO)*SIN(rA)

[0036] Y1=(Y-YO)*COS(rA)-(X-XO)*SIN(rA)

[0037] Where X is the northing distance in the original coordinate system; Y is the easting distance in the original coordinate system; X1 is the northing distance after rotation; Y1 is the easting distance after rotation; XO is the northing distance of the rotation origin; YO is the easting distance of the rotation origin; rA is the rotation angle, which is negative for clockwise and positive for counterclockwise.

[0038] As a further solution of the present invention, the reconstruction module determines whether adjacent measurement lines are duplicate lines by calculating the difference in rD values ​​between adjacent measurement lines and comparing the difference with a preset duplicate line threshold.

[0039] Compared with the prior art, the survey line index reconstruction method and system based on the airborne geophysical database provided by the present invention have the following beneficial effects:

[0040] 1. This invention transforms survey lines into horizontal orientations through coordinate rotation, rapidly implementing the directional principle of survey line indexing and significantly improving the efficiency of the reconstruction process. Building a survey line index model and sorting it using rD attributes makes the reconstruction process more efficient and accurate. The entire reconstruction process is highly automated, from data reading, coordinate rotation, model construction, to line number reassignment, significantly reducing manual intervention and improving work efficiency.

[0041] 2. The survey line index reconstruction method based on the airborne geophysical database of the present invention can adapt to survey lines of different angles. By setting the main survey line angle or automatically identifying the first survey line angle, it can realize the processing of data from various survey areas. The reconstructed survey line index is more standardized through a unified numbering rule, which is convenient for subsequent data processing and management. The present invention can also automatically determine duplicate lines, which is conducive to improving the accuracy of data processing and providing a reliable basis for subsequent data leveling and quality evaluation. Through standardized survey line index reconstruction, it lays a good foundation for subsequent data correction, control line leveling, quality statistics, data interpretation and other work, thereby improving the overall data processing quality.

[0042] 3. The method and system design of the present invention take into account the needs of large-scale data processing. Through efficient algorithm and model design, it can cope with the reconstruction of large amounts of survey line data. Through automated processing, it reduces the errors that may be caused by manual editing of survey line indexes, improves the reliability of data processing, and makes the reconstructed survey line indexes clearer and more orderly, which facilitates database management and subsequent data retrieval, improves the overall data management efficiency, and provides an effective solution to the problem of non-standard survey network files caused by UAV aerial geophysical survey operations, meeting the data processing needs under the application of new technologies.

[0043] In summary, the present invention's line index reconstruction method and system based on an airborne geophysical database, through automated reconstruction of line indexes within an airborne geophysical database, can significantly improve the efficiency and accuracy of data processing, reduce human errors, and enhance data readability and consistency. This not only optimizes existing data processing but also provides more precise support for subsequent analysis, quality control, and decision-making, ensuring the standardization of data management and operations, promoting intelligent and efficient airborne geophysical data processing, and ultimately providing strong technical support for the smooth progress of exploration operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or related technologies, the following briefly introduces the drawings required for the exemplary embodiments or related technical descriptions. The drawings are used to provide a further understanding of the present invention and constitute part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the drawings:

[0045] Figure 1 Schematic diagram of the GeoProbe database structure when airborne geophysical data processing is based on a database in GeoProbe Mager software.

[0046] Figure 2 Schematic diagram of the original survey line index in airborne geophysical exploration.

[0047] Figure 3 The flowchart of the survey line index reconstruction method based on the airborne geophysical database according to an embodiment of the present invention.

[0048] Figure 4 This is an overall flow chart of a survey line index reconstruction method based on an airborne geophysical database according to an embodiment of the present invention.

[0049] Figure 5 Schematic diagram of coordinate selection in a survey line index reconstruction method based on an airborne geophysical database according to an embodiment of the present invention.

[0050] Figure 6 Schematic diagram of the spatial correlation relationship of repeated lines in a survey line index reconstruction method based on an airborne geophysical database according to an embodiment of the present invention.

[0051] Figure 7 Schematic diagram of the reconstructed survey line index in the survey line index reconstruction method based on the airborne geophysical database according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0053] Aerial geophysical prospecting is a method of collecting geophysical information during flight using dedicated geophysical instruments based on a flying platform. With the development of drone technology, drone aerial geophysical surveying has been widely used. Among them, survey line data is the basis for the management and processing of aerial geophysical data. With the development of drone aerial geophysical surveying operations, the non-standardization of survey network files has caused the survey line index to become disordered, making it impossible to effectively carry out subsequent data processing. The present invention summarizes the aerial geophysical line indexing rules, takes the aerial geophysical database as the object, proposes a survey line index reconstruction method based on the aerial geophysical database and a systematic survey line index reconstruction design scheme, and develops relevant software to improve data processing efficiency.

[0054] In GeoProbe Mager, airborne geophysical data processing is based on a database, with the line index being the sole identifier for managing and processing line data. Therefore, a clear, ordered, and standardized line index is crucial for ensuring efficient data processing and accurate results. The database is one of the key foundational data files in GeoProbe Mager. Airborne geophysical survey data and other profile data are managed in the database. Software functions such as data correction, control line leveling, quality statistics, data interpretation, conversion processing, and digital mapping all rely on the database as their data source. Figure 1 As shown, the database is divided into an information area, an information group attribute area, a flight index and data area, and a line index area based on storage area and content. The information area, information group attribute area, flight index, and data area have no direct bearing on the reconstruction of the survey line index and are not discussed here. The survey line index is the most fundamental record in database management, serving as an important means of retrieving data in the data area and providing access to the database data area. The survey line index is stored in the survey line index area, record by record, in the order in which it was entered. Data items such as the survey line number, flight number, starting reference number, and ending reference number fully represent the survey line attributes. See Table 1 for details:

[0055] Table 1 Survey line index record structure table

[0056]

[0057]

[0058] In the process of airborne geophysical survey, there are 7 types of survey lines, namely main survey line, baseline line, control line, test line, repeat line, special task line, and random line. In the survey line index reconstruction process, only the main survey line, control line, and repeat line are edited. Later data processing (leveling, statistics, etc.) only requires these three types of survey lines, and other types of survey lines are basically not involved. Among them, the survey line index rules for the main survey line, control line, and repeat line include:

[0059] Directionality: The principle of survey line index reconstruction is to number them in ascending order from south to north and from west to east. Different survey line types have different starting numbers. Generally, the main survey lines start numbering from 1000. If the number of survey lines is less than 500, the control lines start numbering from 5000. If the number of survey lines is more than 500 but less than 900, the lines start numbering from 9000.

[0060] Incremental: The number increments of adjacent survey lines are generally fixed. In order to better identify the survey lines, 10 is generally used as the increment value, such as 1120 and 1130, which means that the two survey lines are adjacent survey lines.

[0061] Repeatability: Due to repeated flights and splicing flights, there may be multiple survey lines at the same location. To better express the relationship between the survey lines, the survey lines are automatically numbered by 1 in order of their original sequence. For example, 1120, 1121, and 1122 indicate that these three survey lines originally belonged to the same survey line category.

[0062] Based on the line indexing rules and the GeoProbe geophysical software platform, the present invention provides a line index reconstruction method and system based on an airborne geophysical database, making the line index in the database readable and identifiable, that is, achieving line index reconstruction. To achieve this, the original line index needs to be analyzed, and the possibility that the merged survey area database can fully meet the line indexing rules is extremely small, which brings great inconvenience to data processors in effectively identifying line relationships. Figure 2 As shown, Figure 2 This is a schematic diagram of the original survey line index. Figure 2 It can be intuitively seen that lines 1180 and 1200 are control lines; lines 1100 and 1170, and lines 1130 and 1080 are all duplicate lines. Even using the corresponding line numbers in the survey line indexes across the entire survey area database cannot distinguish the relationships between adjacent survey lines. In the absence of effective and standardized survey network documentation, how to quickly standardize and reconstruct the survey line indexes in the database is an urgent problem that needs to be solved.

[0063] The technical solution of the present invention is further described below with reference to specific embodiments:

[0064] See Figure 3 and Figure 4 As shown, a survey line index reconstruction method based on an airborne geophysical prospecting database provided in one embodiment of the present invention includes the following steps:

[0065] Step S10: reading original survey line index data from the airborne geophysical prospecting database;

[0066] Step S20: performing coordinate rotation processing on the original survey line index data to make the survey line direction horizontal;

[0067] Step S30: construct a survey line index model, and write the rotated north distance coordinate into the rD attribute of the model;

[0068] Step S40: writing the survey line index model into the main survey line set and the control line set respectively according to the survey line type;

[0069] Step S50: sort the survey line index models in the main survey line set and the control line set in ascending order of rD values;

[0070] Step S60: reallocate line numbers to the sorted survey line index models, and determine whether adjacent survey lines are duplicate lines;

[0071] Step S70: Write the reconstructed survey line index into the database.

[0072] The embodiment of the present invention is a line index reconstruction method based on an airborne geophysical database. The original line index data is read from the airborne geophysical database. The angle of the first line is set as the main line angle by default, or a known angle is set as the main line angle, and the cutting line angle differs from the main line angle by 90 degrees. The read line index is converted to a horizontal direction through coordinate rotation to construct a line index model. The rotated north distance coordinate is written into the rD attribute and then written into the main line and control line sets according to the line type. The line indexes in the main line and control line sets are sorted from small to large according to the rD value. New line numbers are assigned to the line indexes in the main line and control line sets, and the difference between the rD values ​​is determined to determine whether they meet the duplicate line threshold. If the difference between the rD values ​​is less than the threshold, the line is a duplicate line; otherwise, the line is a new line and is written into the database to complete the line index reconstruction. The present invention summarizes the airborne geophysical line index rules and proposes a line index reconstruction design scheme based on the airborne geophysical database to achieve fast and accurate reconstruction of the line index and improve data processing efficiency.

[0073] In step S20 of this embodiment, see Figure 5 As shown, according to the survey line index rule, directionality is the most important principle. When rotating the coordinates, the original survey line index in the database is rotated to the horizontal direction according to the survey line angle, and the rotated north direction coordinates are sorted from small to large to obtain the line number sequence of the survey line. The original survey line index is rotated according to a certain angle (usually the survey line angle) and the corresponding coordinate origin, so that the converted survey line direction is east-west. Therefore, the directionality principle of the survey line index can be solved by only sorting the north distance coordinates. The coordinate rotation processing of the original survey line index data includes the following steps:

[0074] The original survey line index is rotated according to the survey line angle and the coordinate origin so that the direction of the converted survey line is east-west. The formula for coordinate rotation is:

[0075] X1=(X-XO)*COS(rA)+(Y-YO)*SIN(rA);

[0076] Y1=(Y-YO)*COS(rA)-(X-XO)*SIN(rA);

[0077] Where X is the northing distance in the original coordinate system; Y is the easting distance in the original coordinate system; X1 is the northing distance after rotation; Y1 is the easting distance after rotation; XO is the northing distance of the rotation origin; YO is the easting distance of the rotation origin; rA is the rotation angle, which is negative for clockwise and positive for counterclockwise.

[0078] This method transforms survey lines into horizontal orientations through coordinate rotation, rapidly implementing the directional principle of survey line indexing and significantly improving the efficiency of the reconstruction process. Building a survey line index model and sorting it using rD attributes makes the reconstruction process more efficient and accurate. The entire reconstruction process is highly automated, from data reading, coordinate rotation, model construction, to line number reassignment, significantly reducing manual intervention and improving work efficiency.

[0079] In this embodiment, the constructed survey line index model includes the survey line number, flight number, first and last reference numbers, and rD attributes. When reassigning line numbers to the sorted survey line index model, main survey lines are numbered starting at 1000, control lines are numbered starting at 5000 or 9000, and adjacent survey lines are numbered in increments of 10.

[0080] Repeated lines are an important part of the airborne geophysical survey process. They appear in repeated flights and connecting flights, and exist in every survey area. They are also an important basis for data leveling and quality evaluation. Effective index reconstruction of repeated lines can help improve data processing efficiency. In this embodiment, see Figure 6 As shown, Figure 6 This is a schematic diagram of the spatial correlation of repeated lines. To this end, it is necessary to determine the correlation between the survey lines, mainly to determine whether the distance between the survey lines meets certain requirements. As can be seen from Table 1, the survey line index includes the attributes of the north distance of the first point (meters), the east distance of the first point (meters), the north distance of the end point (meters), and the east distance of the end point (meters). In terms of spatial position, it is represented as the first and last nodes, which appear as a straight line. In the actual measurement process, the possibility of the first and last nodes of the repeated lines coinciding is extremely small, but the direction of the survey lines is basically consistent. Assuming that the 2010 line and the 2050 line are two lines in the original database, Figure 6 a, 2050 line includes 2010 line; Figure 6b. The 2050 line and the 2010 line overlap at a certain position; Figure 6 c. Line 2050 and line 2010 have no containment or intersection relationship, but as long as the distance between line 2050 and line 2010 is less than the duplicate line threshold, line 2050 and line 2010 are duplicate lines of the corresponding lines.

[0081] In this embodiment, the method for determining whether adjacent measurement lines are duplicate lines is to calculate whether the difference in rD values ​​between adjacent measurement lines meets a duplicate line threshold. If the difference is less than the preset duplicate line threshold, the line is determined to be a duplicate line; otherwise, the line is determined to be a new measurement line.

[0082] For example, in practical application, the measured data of a UAV aeromagnetic survey project in 2024 was used to conduct a line index reconstruction test. Figure 2 Original line index and Figure 7 After reconstructing the survey line index, lines 1180 and 1200 were adjusted to control lines 5010 and 5020; lines 1130 and 1080 were adjusted to duplicate lines 1090 and 1091; lines 1170 and 1100 were adjusted to duplicate lines 1110 and 1111, and the digits of the duplicate lines were automatically increased by 1; the entire survey line index is in increasing order from south to north, with an increment of 10. The reconstructed result meets the directionality, increment, and repeatability principles of the survey line index, achieving the designed effect. Figure 7 shown.

[0083] The survey line index reconstruction method based on the airborne geophysical database of the present invention can adapt to survey lines of different angles. By setting the main survey line angle or automatically identifying the first survey line angle, it can realize the processing of data from various survey areas. The reconstructed survey line index is made more standardized through a unified numbering rule, which is convenient for subsequent data processing and management. The present invention can also automatically determine duplicate lines, which is conducive to improving the accuracy of data processing and providing a reliable basis for subsequent data leveling and quality evaluation. Through the standardized survey line index reconstruction, a good foundation is laid for subsequent data correction, control line leveling, quality statistics, data interpretation and other work, thereby improving the overall data processing quality.

[0084] In one embodiment, the present invention provides a survey line index reconstruction system based on an airborne geophysical database, which is used to execute the survey line index reconstruction method based on an airborne geophysical database. The survey line index reconstruction system based on an airborne geophysical database includes the following components:

[0085] Data reading module, used to read original survey line index data from the airborne geophysical database;

[0086] Coordinate rotation module, used to perform coordinate rotation processing on the original survey line index data;

[0087] Model building module, used to build survey line index model;

[0088] A classification storage module is used to store the survey line index model into the main survey line set and the control line set respectively;

[0089] A sorting module is used to sort the survey line index models in the main survey line set and the control line set;

[0090] The reconstruction module is used to reallocate line numbers to the sorted survey line index model and identify duplicate lines;

[0091] The data update module is used to write the reconstructed survey line index into the database.

[0092] In this embodiment, the survey line index reconstruction system based on the airborne geophysical database further includes an angle determination module for determining the main survey line angle, wherein the main survey line angle defaults to the angle of the first survey line or is determined by setting a known angle.

[0093] In this embodiment, the coordinate rotation module uses the following formula to perform coordinate rotation:

[0094] X1=(X-XO)*COS(rA)+(Y-YO)*SIN(rA)

[0095] Y1=(Y-YO)*COS(rA)-(X-XO)*SIN(rA)

[0096] Where X is the northing distance in the original coordinate system; Y is the easting distance in the original coordinate system; X1 is the northing distance after rotation; Y1 is the easting distance after rotation; XO is the northing distance of the rotation origin; YO is the easting distance of the rotation origin; rA is the rotation angle, which is negative for clockwise and positive for counterclockwise.

[0097] In this embodiment, the reconstruction module determines whether adjacent measurement lines are duplicate lines by calculating the difference in rD values ​​between adjacent measurement lines and comparing the difference with a preset duplicate line threshold.

[0098] The method and system design of the present invention take into account the needs of large-scale data processing. Through efficient algorithm and model design, it can cope with the reconstruction of large amounts of survey line data. Through automated processing, it reduces the errors that may be caused by manual editing of survey line indexes, improves the reliability of data processing, and makes the reconstructed survey line indexes clearer and more orderly, which facilitates database management and subsequent data retrieval, improves the overall data management efficiency, and provides an effective solution to the problem of non-standard survey network files caused by UAV aerial geophysical survey operations, meeting the data processing needs under the application of new technologies.

[0099] In summary, the present invention's line index reconstruction method and system based on an airborne geophysical database, through automated reconstruction of line indexes within an airborne geophysical database, can significantly improve the efficiency and accuracy of data processing, reduce human errors, and enhance data readability and consistency. This not only optimizes existing data processing but also provides more precise support for subsequent analysis, quality control, and decision-making, ensuring the standardization of data management and operations, promoting intelligent and efficient airborne geophysical data processing, and ultimately providing strong technical support for the smooth progress of exploration operations.

[0100] It should be understood that, although the above is described in a certain order, these steps are not necessarily performed in sequence according to the above order. Unless there is clear explanation in this article, the execution of these steps does not have strict order restriction, and these steps can be performed in other orders. Moreover, a part of the steps of the present embodiment may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be performed in turn or alternately with at least a portion of the steps or stages in other steps or other steps.

[0101] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A survey line index reconstruction method based on an airborne geophysical database, characterized in that: The method comprises the following steps: Read the original survey line index data from the airborne geophysical database; Perform coordinate rotation processing on the original survey line index data to make the survey line direction horizontal; Build a survey line index model and write the rotated north distance coordinate into the rD attribute of the model; Write the survey line index model into the main survey line set and the control line set according to the survey line type; Sort the survey line index models in the main survey line set and the control line set by rD value from small to large; Reassign line numbers to the sorted survey line index model and determine whether adjacent survey lines are duplicate lines; Write the reconstructed survey line index into the database; When the coordinates are rotated, the original survey line index in the database is rotated to the horizontal direction according to the survey line angle, and the rotated north direction coordinates are sorted from small to large to obtain the line number sequence of the survey line; The coordinate rotation processing of the original survey line index data includes the following steps: The original survey line index is rotated according to the survey line angle and the coordinate origin so that the direction of the converted survey line is east-west. The formula for coordinate rotation is: X1=(X-XO)*COS(rA)+(Y-YO)*SIN(rA); Y1=(Y-YO)*COS(rA)-(X-XO)*SIN(rA); Where X is the northing distance in the original coordinate system; Y is the easting distance in the original coordinate system; X1 is the northing distance after rotation; Y1 is the easting distance after rotation; XO is the northing distance of the rotation origin; YO is the easting distance of the rotation origin; rA is the rotation angle, which is negative for clockwise and positive for counterclockwise.

2. The method for reconstructing survey line index based on airborne geophysical database according to claim 1, characterized in that: The original survey line index data is read from the airborne geophysical database. The angle of the first survey line is set as the main survey line angle by default, or the main survey line angle is set by setting a known angle. The cutting line angle is 90° different from the main survey line angle.

3. The survey line index reconstruction method based on the airborne geophysical database according to claim 1, characterized in that: The constructed survey line index model includes survey line number, flight number, first and last reference numbers and rD attributes.

4. The survey line index reconstruction method based on the airborne geophysical database according to claim 2, wherein when reassigning line numbers to the sorted survey line index model, the main survey lines are numbered starting from 1000, the control lines are numbered starting from 5000 or 9000, and the numbering increment of adjacent survey lines is 10.

5. The survey line index reconstruction method based on the airborne geophysical database according to claim 1, characterized in that: The method for determining whether adjacent measurement lines are duplicate lines is to calculate whether the difference in rD values ​​between adjacent measurement lines meets the duplicate line threshold. If it is less than the preset duplicate line threshold, it is determined to be a duplicate line; otherwise, it is a new measurement line.

6. A survey line index reconstruction system based on an airborne geophysical database, characterized in that: The system is used to execute the survey line index reconstruction method based on the airborne geophysical database according to any one of claims 1 to 5, comprising: Data reading module, used to read original survey line index data from the airborne geophysical database; The coordinate rotation module is used to perform coordinate rotation processing on the original survey line index data. During the coordinate rotation, the original survey line index in the database is rotated to the horizontal direction according to the survey line angle, and the rotated north direction coordinates are sorted from small to large to obtain the line number sequence of the survey line. The coordinate rotation processing of the original survey line index data includes the following steps: The original survey line index is rotated according to the survey line angle and the coordinate origin so that the direction of the converted survey line is east-west. The formula for coordinate rotation is: X1=(X-XO)*COS(rA)+(Y-YO)*SIN(rA); Y1=(Y-YO)*COS(rA)-(X-XO)*SIN(rA); Where X is the northing distance in the original coordinate system; Y is the easting distance in the original coordinate system; X1 is the northing distance after rotation; Y1 is the easting distance after rotation; XO is the northing distance of the rotation origin; YO is the easting distance of the rotation origin; rA is the rotation angle, clockwise is negative and counterclockwise is positive; Model building module, used to build survey line index model; A classification storage module is used to store the survey line index model into the main survey line set and the control line set respectively; A sorting module is used to sort the survey line index models in the main survey line set and the control line set; The reconstruction module is used to reallocate line numbers to the sorted survey line index model and identify duplicate lines; The data update module is used to write the reconstructed survey line index into the database.

7. The survey line index reconstruction system based on the airborne geophysical database according to claim 6, characterized in that: The method further comprises an angle determination module for determining the main survey line angle, wherein the main survey line angle is set to the angle of the first survey line by default, or is determined by setting a known angle.

8. The survey line index reconstruction system based on the airborne geophysical database according to claim 6, characterized in that: The reconstruction module determines whether adjacent measurement lines are duplicate lines by calculating the difference in rD values ​​between adjacent measurement lines and comparing the difference with a preset duplicate line threshold.

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