CN113359197B - Curved surface superposition imaging method suitable for shallow high precision - Google Patents
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
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Abstract
The invention discloses a curved surface superposition imaging method suitable for shallow high precision, which comprises the following steps: s1: partitioning; s2: setting plane coordinates; s3: inserting a positioning rod into one of the areas to be detected, recording X-axis and Y-axis coordinate data of the positioning rod, selecting a point on the height of the positioning rod as a data comparison point, and taking the axis from the data comparison point to a vertical line of the two-dimensional section as a Z axis; s4: establishing a three-dimensional coordinate axis; s5: inputting the three-dimensional coordinate axis into an unmanned aerial vehicle, wherein a positioning radar is arranged on the unmanned aerial vehicle, and the positioning radar on the unmanned aerial vehicle is positioned with a data comparison point in real time; s6: the unmanned aerial vehicle flies along the X-axis or Y-axis direction, the measuring radar collects the data of the ground surface below and transmits the data to the data center for summarizing, the invention provides a practical technical means for shallow high-precision imaging of the seismic data in the region with severe surface fluctuation, and reduces the risk of shallow seismic exploration and the risk in shallow engineering construction.
Description
Technical Field
The invention relates to the technical field of regional surface imaging, in particular to a curved surface superposition imaging method suitable for shallow high precision.
Background
In the current geophysical prospecting field, when performing surface detection, such as a cross-hole method, a well-ground method, a high-density electrical method or a comprehensive geophysical prospecting method, the method is a common detection means in engineering sites; however, the detection results of the geophysical prospecting method are mostly two-dimensional sections, the number of the on-site arranged survey lines is large, the formed two-dimensional sections are quite complicated, the accuracy is low, the measurement is inaccurate, and the risks of exploration and shallow construction are increased.
Disclosure of Invention
The invention aims to provide a curved surface superposition imaging method suitable for shallow high precision.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a curved surface superposition imaging method suitable for shallow high precision, the method comprising the steps of:
s1: dividing a curved surface to be imaged into a plurality of areas to be measured;
s2: setting plane coordinates; forming a two-dimensional section on the cross section plane of each region to be detected according to an X axis and a Y axis, and collecting coordinate data of each point of the two-dimensional section;
s3: inserting a positioning rod into one of the areas to be detected, recording X-axis and Y-axis coordinate data of the positioning rod, selecting a certain point on the height of the positioning rod as a data comparison point, and taking the axis from the data comparison point to a vertical line of the two-dimensional section as a Z axis;
s4: establishing three-dimensional coordinate axes of an X axis, a Y axis and a Z axis; the intersection point of the X axis, the Y axis and the Z axis is the origin of coordinates;
s5: inputting a three-dimensional coordinate axis into an unmanned aerial vehicle, lifting a measuring radar at the bottom of the unmanned aerial vehicle for taking off, installing a positioning radar on the unmanned aerial vehicle, and positioning between the positioning radar on the unmanned aerial vehicle and a data comparison point in real time;
s6: the unmanned aerial vehicle flies along the X-axis or Y-axis direction, the measuring radar collects the data of the ground surface below and transmits the data to the data center for summarizing;
s7: the data center collates and gathers the summarized data, and completes three-dimensional imaging drawing in the to-be-measured area according to the coordinate data of the X axis, the Y axis and the Z axis;
s8: repeating S3-S7; coordinate data of each region to be measured are obtained, and three-dimensional imaging drawing of each region to be measured is completed according to the coordinate data;
s9: and superposing the three-dimensional map data of each region to be detected, and cutting off the repeated data among the regions to be detected to obtain the three-dimensional imaging of the whole region.
Further, the X direction of the three-dimensional coordinate axis is a horizontal distance direction, and the horizontal right direction is a positive direction; the Y direction is the detection depth direction, and the direction parallel to the ground and facing the detection direction is the positive direction; the Z direction is the vertical distance direction, and the vertical ground is the upward direction.
Further, the data comparison point is at the most point of the locating rod.
Further, the measuring radar is fixedly connected to the bottom of the measuring rod.
Further, the measuring rod is a strip-shaped long rod and is fixedly connected to the bottom of the unmanned aerial vehicle, and the unmanned aerial vehicle flies; the measuring rod is parallel to the X axis or the Y axis.
Further, the measuring rod is fixedly connected with a signal receiver and a signal transmitter.
Furthermore, the unmanned aerial vehicle flies at equal intervals and fixed points.
Further, the equidistant fixed-point flying is realized in the following manner; the data of unmanned aerial vehicle flight distance locating lever compares the point after the summit of certain distance, and the measuring radar of below scans the earth's surface, then unmanned aerial vehicle flies certain distance again, and the measuring radar of below scans the earth's surface below again, and the flight distance at both ends equals.
Further, the data collected by the measuring radar is the time interval between the wave emitted by the radar and the wave reflected back.
Compared with the prior art, the invention has the beneficial effects that:
in the imaging method, the coordinates of X, Y, Z are collected through detection, so that data analysis and three-dimensional modeling are conveniently carried out in the later period, and great convenience is provided for the development of modeling analysis and explanation work in the later period; the invention provides a rapid and practical technical means for shallow high-precision imaging of seismic data in areas with severe surface fluctuation, and reduces the risk of shallow seismic exploration and the risk in shallow engineering construction.
The specific embodiment is as follows:
the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments; all other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
A curved surface superposition imaging method suitable for shallow high precision, the method comprising the steps of:
s1: partitioning; dividing a curved surface to be imaged into a plurality of areas to be measured;
s2: forming a two-dimensional section on the cross section plane of each region to be detected according to an X axis and a Y axis, and collecting coordinate data of each point of the two-dimensional section;
s3: inserting a positioning rod into one of the areas to be detected, recording X-axis and Y-axis coordinate data of the positioning rod, selecting a certain point on the height of the positioning rod as a data comparison point, and taking the axis from the data comparison point to a vertical line of the two-dimensional section as a Z axis;
s4: establishing three-dimensional coordinate axes of an X axis, a Y axis and a Z axis; the intersection point of the X axis, the Y axis and the Z axis is the origin of coordinates;
s5: inputting a three-dimensional coordinate axis into an unmanned aerial vehicle, lifting a measuring radar at the bottom of the unmanned aerial vehicle for taking off, installing a positioning radar on the unmanned aerial vehicle, and positioning between the positioning radar on the unmanned aerial vehicle and a data comparison point in real time;
s6: the unmanned aerial vehicle flies along the X-axis or Y-axis direction, the measuring radar collects the data of the ground surface below and transmits the data to the data center for summarizing;
s7: the data center collates and gathers the summarized data, and completes three-dimensional imaging drawing in the to-be-measured area according to the coordinate data of the X axis, the Y axis and the Z axis;
s8: repeating S3-S7; coordinate data of each region to be measured are obtained, and three-dimensional imaging drawing of each region to be measured is completed according to the coordinate data;
s9: and superposing the three-dimensional map data of each region to be detected, and cutting off the repeated data among the regions to be detected to obtain the three-dimensional imaging of the whole region.
In this embodiment, the X direction of the three-dimensional coordinate axis is a horizontal distance direction, and the horizontal right direction is a positive direction; the Y direction is the detection depth direction, and the direction parallel to the ground and facing the detection direction is the positive direction; the Z direction is the vertical distance direction, and the vertical ground is the upward direction.
In this embodiment, the data comparison point is at the most point of the positioning rod.
In this embodiment, the measuring radar is fixedly connected to the bottom of the measuring rod.
In this embodiment, the measuring rod is a strip-shaped long rod, and the measuring rod is fixedly connected to the bottom of the unmanned aerial vehicle, and when the unmanned aerial vehicle flies; the measuring rod is parallel to the X axis or the Y axis.
In this embodiment, the measuring rod is further fixedly connected with a signal receiver and a signal transmitter.
In this embodiment, the flight mode of the unmanned aerial vehicle is equidistant fixed-point flight.
In this embodiment, the implementation manner of the equidistant fixed-point flight is as follows; the data of unmanned aerial vehicle flight distance locating lever compares the point after the summit of certain distance, and the measuring radar of below scans the earth's surface, then unmanned aerial vehicle flies certain distance again, and the measuring radar of below scans the earth's surface below again, and the flight distance at both ends equals.
In this embodiment, the data collected by the measurement radar is a time interval between a wave emitted by the radar and a reflected wave, and the distance between the measurement radar and the ground surface is obtained through calculation.
In this embodiment, the data collected by the measurement radar is the time interval between the wave emitted by the radar and the wave reflected back.
In the imaging method, the coordinates of X, Y, Z are collected through detection, so that data analysis and three-dimensional modeling are conveniently carried out in the later period, and great convenience is provided for the development of modeling analysis and explanation work in the later period; the invention provides a rapid and practical technical means for shallow high-precision imaging of seismic data in areas with severe surface fluctuation, and reduces the risk of shallow seismic exploration and the risk in shallow engineering construction.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (3)
1. A shallow high-precision curved surface superposition imaging method suitable for seismic data in areas with severe surface fluctuation is characterized by comprising the following steps:
s1: dividing a curved surface to be imaged into a plurality of areas to be measured;
s2: forming a two-dimensional section on the cross section plane of each region to be detected according to an X axis and a Y axis, and collecting coordinate data of each point of the two-dimensional section;
s3: inserting a positioning rod into one of the areas to be detected, recording X-axis and Y-axis coordinate data of the positioning rod, selecting a certain point on the height of the positioning rod as a data comparison point, and taking the axis from the data comparison point to a vertical line of the two-dimensional section as a Z axis, wherein the data comparison point is at the most point of the positioning rod;
s4: establishing three-dimensional coordinate axes of an X axis, a Y axis and a Z axis; the intersection point of the X axis, the Y axis and the Z axis is the origin of coordinates, the X direction of the three-dimensional coordinate axis is the horizontal distance direction, and the horizontal right direction is the positive direction; the Y direction is the detection depth direction, and the direction parallel to the ground and facing the detection direction is the positive direction; the Z direction is a vertical distance direction, and the vertical ground is a positive direction upwards;
s5: inputting a three-dimensional coordinate axis into an unmanned aerial vehicle, lifting a measuring radar at the bottom of the unmanned aerial vehicle for taking off, installing a positioning radar on the unmanned aerial vehicle, and positioning between the positioning radar on the unmanned aerial vehicle and a data comparison point in real time;
s6: the unmanned aerial vehicle flies along the X-axis or Y-axis direction, the measuring radar collects the data of the ground surface below and transmits the data to the data center for summarizing;
s7: the data center collates and gathers the summarized data, and completes three-dimensional imaging drawing in the to-be-measured area according to the coordinate data of the X axis, the Y axis and the Z axis;
s8: repeating S3-S7; coordinate data of each region to be measured are obtained, and three-dimensional imaging drawing of each region to be measured is completed according to the coordinate data;
s9: overlapping three-dimensional map data of each region to be detected, and cutting off repeated data among the regions to be detected to obtain three-dimensional imaging of the whole region;
the unmanned aerial vehicle flies at equal intervals and fixed points;
the equidistant fixed-point flying is realized in the following way; the unmanned aerial vehicle flies a certain distance from the data comparison point of the positioning rod and then points, the lower measuring radar scans the ground surface, then the unmanned aerial vehicle flies a certain distance again, the lower measuring radar scans the ground surface again, and the flying distances at the two ends are equal;
the measuring rod is a strip-shaped long rod and is fixedly connected to the bottom of the unmanned aerial vehicle, and the measuring radar is fixedly connected to the bottom of the measuring rod, so that the unmanned aerial vehicle flies; the measuring rod is parallel to the X axis or the Y axis.
2. The shallow high-precision curved surface superposition imaging method suitable for seismic data in areas with severe surface fluctuation according to claim 1, wherein the measuring rod is fixedly connected with a signal receiver and a signal transmitter.
3. The shallow high-precision curved surface superposition imaging method for seismic data in areas with severe surface fluctuations according to claim 1, wherein the data collected by the measurement radar is the time interval between the wave emitted by the radar and the wave reflected back.
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