CN115346141A - Method and system for identifying unfavorable geology through integration of sky, space, ground, tunnel and hole - Google Patents
Method and system for identifying unfavorable geology through integration of sky, space, ground, tunnel and hole Download PDFInfo
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Abstract
The invention belongs to the technical field of tunnel investigation, and provides a sky-air-ground-tunnel-hole integrated unfavorable geology identification method and system for solving the problem that the unfavorable geology in a tunnel is not completely identified in the prior art. The method comprises the steps of obtaining remote sensing image data and a digital elevation model of a tunnel area, and determining a key investigation area; predicting the possible bad geological types of the area; acquiring mineral and lithology information obtained by spectral tests in key exploration areas possibly having poor geologic bodies, and determining the position, range and scale of the distribution of the poor geologic bodies by combining with the geophysical exploration result of the earth surface; determining the relative positions of the poor geologic body and the tunnel; and selecting a corresponding drilling position according to the three-dimensional geological model of the tunnel site area and the relative positions of the unfavorable geologic body and the tunnel face, and finally determining the type and the property of the unfavorable geologic body so as to provide a useful reference for advanced geological forecast of the tunnel.
Description
Technical Field
The invention belongs to the technical field of tunnel investigation, and particularly relates to a sky-air-ground-tunnel-hole integrated unfavorable geology identification method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Tunnel construction often encounters geological disasters such as water inrush and mud outburst, collapse, large deformation and the like, and causes serious casualties, serious economic loss and severe social influence. The fault, karst and other unfavorable geology are the biggest primitive murder and challenge of tunnel disasters, and advanced geological forecast is the most direct and effective means for accurately detecting fault, karst and other unfavorable geology, and has become an essential link in tunnel exploration and construction.
At present, in tunnel construction, traditional advanced geological prediction methods such as a drilling method and a geophysical prospecting method can accurately identify and position the unfavorable geological body in front of a tunnel face, but most of the prior art focuses on accurate identification of the property and the position of the unfavorable geological body and does not grasp the geological structure of a tunnel site area from a macroscopic level. If the information of the surface minerals and the geological structures in the tunnel site area is analyzed from the macroscopic level, advanced geological forecast in the tunnel is carried out, the properties and the position information of the unfavorable geologic body in front of the tunnel face are identified and forecasted from the tunnel and the drilling scale, the unfavorable geologic body can be more comprehensively identified, and meanwhile, whether the geological disaster is formed after the tunnel excavation is disclosed and the severity of the geological disaster is more clearly known. Specifically, in the aspect of identification and prediction of bad geological bodies in a tunnel, the advanced horizontal drilling method can directly disclose rock mass quality and stratum information in front of a tunnel face through coring or intuitively sense the change of the rock mass and the stratum information through while-drilling parameters, and is one of the most direct and effective advanced geological prediction methods, but the advanced horizontal drilling method has the limitation of one-hole observation, cannot identify the geological bodies among holes, and easily causes the missing report and the missing detection of the bad geological bodies; the geophysical prospecting method can accurately detect the position, the shape and the scale of the poor geologic body, but the geophysical prospecting inversion has the problem of multiple solutions, and the type and the property of the poor geologic body are difficult to directly define. In the traditional geological survey, mineral analysis has unique advantages in the aspect of judging and identifying unfavorable geological types and properties, and if the results of the mineral analysis can be integrated into a drilling method and a geophysical prospecting method, the advantages of the mineral analysis in the aspect of identifying the types and the properties of the unfavorable geological bodies and the advantages of the drilling method and the geophysical prospecting method in the aspect of identifying the positions, the shapes and the scales of the unfavorable geological bodies can be exerted.
In conclusion, the inventor finds that for the survey of the tunnel in the complex mountain area, the geological survey of the tunnel site area is carried out only by a single data source, the identification of the unfavorable geologic body in the tunnel is not comprehensive enough, different surveying methods have respective limitations, the identification of whether the geological disaster is formed after the tunnel is excavated and the severity of the geological disaster is not clear enough, and the effective reference is difficult to be provided for the advance geological forecast of the tunnel.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a method and a system for identifying the integrated harmful geology of the sky, the air, the ground, the tunnel and the hole, innovatively integrates an image spectrum technology with the traditional geological forecasting methods such as a drilling method, a geophysical prospecting method and the like, provides a set of multi-source and three-dimensional exploration method from the macro to the micro, realizes the accurate identification of the shape (position, shape and scale) and the nature (type and property) of the harmful geology in the tunnel, and provides beneficial reference for the advanced geological forecasting of the tunnel.
The image spectrum technology can realize non-contact measurement of surface minerals of a tunnel site area and surface minerals of surrounding rocks in the tunnel, remote sensing image analysis can identify lithology information of large-range regional geology, and a regional fracture and breakage zone is predicted; the push-broom type spectral imaging instrument can divide the mineral components and the types of rocks in the tunnel. Therefore, if the image spectrum technology is introduced into the tunnel geological survey, the efficiency of the tunnel geological survey can be greatly improved, and multi-scale identification and forecast of the poor geologic body can be realized.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a method for identifying unfavorable geology by integrating sky, air, ground, tunnel and hole, which comprises the following steps:
acquiring satellite remote sensing image data and a digital elevation model of a tunnel site area, and determining a key investigation area through geological analysis;
extracting corresponding geological structure information and lithology information based on the unmanned aerial vehicle remote sensing spectrum image of the key exploration area, and identifying the possible unfavorable geological types of the key exploration area;
acquiring corresponding mineral and lithology information based on a spectrum test of a key exploration area possibly having a bad geologic body, and determining the position, range and scale of the distribution of the bad geologic body by combining with a geophysical exploration result of the earth surface;
acquiring image spectrum information of geological bodies around a tunnel face in a tunnel at the tunnel face, identifying mineral and lithologic information in the tunnel, and determining the relative positions of the unfavorable geological bodies and the tunnel face by combining a geophysical prospecting test in the tunnel and a three-dimensional geological model of a tunnel site area;
and determining the drilling position according to the three-dimensional geological model of the tunnel site area and the relative positions of the unfavorable geologic body and the tunnel face, and finally determining the type and the property of the unfavorable geologic body based on the field drilling test result.
As an implementation mode, a three-dimensional geological model of the tunnel site area is constructed according to the early-stage survey data of the tunnel.
In one embodiment, radar data is acquired in a tunnel site area by a synthetic aperture radar interferometry method, and a high-resolution digital elevation model is generated by processing the radar data.
As an implementation mode, according to remote sensing image data of a tunnel site area, extracting spectral feature, textural feature and geometric feature information, and performing inversion on stratum lithology and mineral information of the tunnel site area according to the corresponding relation between the spectral feature, textural feature and geometric feature information and minerals and lithology;
extracting topographic feature information of a tunnel site area through a digital elevation model;
and (3) through stratum lithology, mineral information and topographic features, presuming an area in the tunnel site area, wherein the geological environment is fragile and the stability does not meet the set requirement, and defining the area as a potential geological disaster hidden danger area, namely a key investigation area.
In one embodiment, the unmanned aerial vehicle is used for carrying a spectrum camera, and spectrum imaging work is carried out in a determined key investigation area.
As one embodiment, mineral and lithology information inside the tunnel is identified at the face using a push-broom spectral imager.
A second aspect of the present invention provides a sky-space-ground-tunnel-hole integrated unfavorable geological recognition system, comprising:
the key exploration area determining module is used for acquiring satellite remote sensing image data and a digital elevation model along a tunnel site area and determining a key exploration area through geological analysis;
the unfavorable geological type prediction module is used for extracting corresponding geological structure information and lithology information based on the unmanned aerial vehicle remote sensing spectral image of the key exploration area and identifying the possible unfavorable geological type of the key exploration area;
the poor geologic body distribution determining module is used for acquiring corresponding mineral and lithology information based on a spectrum test of a key exploration area possibly having a poor geologic body, and determining the position, range and scale of the poor geologic body distribution by combining with a surface geophysical exploration result;
the relative position determining module is used for acquiring image spectrum information of geological bodies around the tunnel face in the tunnel at the tunnel face, identifying mineral and lithology information in the tunnel, and determining the relative positions of the poor geological bodies and the tunnel face by combining a geophysical prospecting test in the tunnel and a three-dimensional geological model of a tunnel site area;
and the abnormity verification module is used for determining the drilling position according to the three-dimensional geological model of the tunnel site area and the relative positions of the unfavorable geologic body and the tunnel face, and finally confirming the type and the property of the unfavorable geologic body based on the field drilling test result.
As an embodiment, in the relative position determining module, a three-dimensional geological model of a tunnel site area is constructed according to the pre-stage survey data of the tunnel;
in the key survey area determining module, radar data is acquired in a tunnel site area by using a synthetic aperture radar interferometry method, and a high-resolution digital elevation model is generated by processing the radar data;
as an implementation mode, according to remote sensing image data of a tunnel site area, extracting spectral feature, textural feature and geometric feature information, and performing inversion on stratum lithology and mineral information of the tunnel site area according to the corresponding relation between the spectral feature, textural feature and geometric feature information and minerals and lithology;
as an embodiment, the key survey area determination module is further configured to:
extracting topographic feature information of a tunnel site area through a digital elevation model;
and (3) through stratum lithology, mineral information and topographic features, presuming an area in the tunnel site area, wherein the geological environment is fragile and the stability does not meet the set requirement, and defining the area as a potential geological disaster hidden danger area, namely a key investigation area.
A third aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps in the integrated sky-air-ground-tunnel-hole unfavorable geological identification method as described above.
A fourth aspect of the present invention provides a computer device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the above-described integrated sky-space-ground-tunnel-hole unfavorable geological identification method.
Compared with the prior art, the invention has the beneficial effects that:
(1) The method utilizes the satellite remote sensing technology to identify the regional long fracture zone and has the macroscopic characteristic; the unmanned aerial vehicle remote sensing has high resolution ratio relative to satellite remote sensing, the data quality of the image is better, and the acquisition is more convenient; the ground spectrum test can directly obtain accurate spectrum information on site and verify the accuracy of the remote sensing image. The method comprises the steps of firstly utilizing a satellite remote sensing technology to define a key exploration area, then utilizing unmanned aerial vehicle remote sensing to conduct fine exploration, and finally utilizing a ground spectrum test to verify, so that the possible bad geological types of the key exploration area can be identified more quickly and accurately.
(2) The invention can identify the position, range and scale of the bad geologic body, namely the shape, by utilizing the advantages of remote forecast of a geophysical prospecting technology; the drilling technology can directly acquire lithology and mineral information of the unfavorable geological section, identify the type and property of the unfavorable geological body, namely the property, and realize comprehensive judgment of the shape and the property of the unfavorable geological body by combining the lithology and the mineral information.
(3) The invention carries out multi-scale identification and forecast of the sky-space-ground-tunnel-hole unfavorable geology based on image spectral analysis, gradually reduces the detection range of the unfavorable geologic body from macro to micro through satellite remote sensing and unmanned aerial vehicle remote sensing images, and then identifies the range and the type of the unfavorable geologic body by using a geophysical prospecting method and a drilling method, thereby forming a set of multi-source and three-dimensional exploration method from macro to micro, and realizing the accurate identification of the shape and the character of the unfavorable geologic body in the tunnel.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a flow chart of a method for identifying unfavorable geology by integrating sky, space, earth, tunnel and hole according to an embodiment of the invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example one
Referring to fig. 1, the present embodiment provides a method for identifying unfavorable geology by integrating sky, air, ground, tunnel and hole, which specifically includes the following steps:
step 1: and acquiring satellite remote sensing image data and a digital elevation model along the tunnel site area, and determining a key investigation area through geological analysis.
In the specific implementation process of the step 1, satellite optical remote sensing imaging is carried out in a tunnel site area, and remote sensing image data are obtained; acquiring radar data in a tunnel site area by using a synthetic aperture radar interferometry method, and generating a high-resolution digital elevation model by processing the radar data; extracting spectral characteristic information of a tunnel site area through the obtained remote sensing image data, and performing inversion to obtain stratum lithology and mineral information of the tunnel site area according to the corresponding relation of the spectral characteristic and minerals and lithology; extracting topographic feature information of a tunnel site area through a digital elevation model; and (3) presuming areas with weak geological environment and stability which do not meet set requirements in the tunnel site area through stratum lithology, mineral information and topographic feature information, and dividing the areas into potential geological disaster hidden danger areas, namely key investigation areas.
Specifically, the processing flow of the radar data is as follows:
(1) Registering repeated images covering the same area at different time periods;
(2) Generating an interference phase map through image filtering;
(3) Removing the flat ground phase based on the orbit parameter and the central point position information of the imaging area, and acquiring terrain phase information in the image interference phase diagram after image registration and flat ground phase extraction processing;
(4) Unwrapping the terrain phase information in the image interference phase diagram to obtain a true value of the terrain phase;
(5) And obtaining a digital elevation model through a phase-to-elevation conversion formula.
In the above-mentioned formula, the compound has the following structure,
is the information on the elevation of the object,
is the true value of the phase of the terrain,
for the slant range of the radar satellite in shooting the main image to observe the earth,
in order to be a radar side view angle,
as the angle of inclination of the baseline is,
is the spatial baseline.
The analysis process of the remote sensing image data is as follows:
(1) Preprocessing the acquired satellite remote sensing image data, including radiation correction, atmospheric correction and geometric correction, so as to eliminate image background noise;
(2) Extracting spectral characteristic information of each point in a tunnel region from the preprocessed satellite remote sensing image by a spectral angle matching method;
(3) Performing field site reconnaissance, collecting typical rocks and minerals in a tunnel site area, and establishing a lithology spectrum library;
(4) And matching lithology and mineral information of the tunnel site area by using the spectral characteristic information and combining the existing spectral database.
And 2, step: extracting corresponding geological structure information and lithology and mineral information based on the unmanned aerial vehicle remote sensing spectral image of the key exploration area, and identifying the possible unfavorable geological types of the key exploration area;
in the specific implementation process of the step 2, according to satellite survey data and a digital elevation model of a key survey area, selecting a matched unmanned aerial vehicle type and a carried spectral imager, and planning a corresponding flight route; the unmanned aerial vehicle flies along a specified route and acquires aerial images of key exploration areas; processing the aerial images to obtain a three-dimensional geological model of a key exploration area; carrying out on-site survey sampling on typical minerals to assist in verifying the accuracy of aerial images of the unmanned aerial vehicle; and carrying out geological interpretation work aiming at the three-dimensional geological model and predicting the possible unfavorable geological types of the region.
Wherein, unmanned aerial vehicle's selection requires as follows:
(1) If the tunnel site area is good in climate and free of strong weather, a fixed wing unmanned aerial vehicle can be used for carrying a high-resolution spectrum camera, and large-area surface scanning work can be carried out in a key exploration area;
(2) If the tunnel site district is located the mountain area, relief surpasses and sets for the threshold value, when having obvious mountain shelter, fixed wing unmanned aerial vehicle takes off and land the difficulty, then uses rotor unmanned aerial vehicle, and this unmanned aerial vehicle is fit for reconnaissance at mountain area complex condition.
Specifically, the processing flow of the aerial image is as follows:
(1) Preprocessing the spectrogram image, including radiation correction and atmospheric correction, for eliminating background noise generated in the data acquisition and transmission process and eliminating the influence of factors such as atmosphere, water vapor and the like;
(2) Extracting spectral characteristic information of each point of a key exploration area from the preprocessed spectral image by a spectral angle matching method;
(3) Performing field site reconnaissance, collecting typical rocks and minerals in a tunnel site area, and establishing a lithology spectrum library;
(4) And matching lithology and mineral information of the key exploration area by utilizing the spectral characteristic information and combining the existing spectral database, and constructing a three-dimensional geological model of the key exploration area.
And step 3: acquiring corresponding mineral and lithology information based on a spectrum test of a key exploration area possibly having a bad geologic body, and determining the position, range and scale of the distribution of the bad geologic body by combining with a geophysical exploration result of the earth surface;
in the specific implementation process, firstly, a field spectrum test is carried out, a non-imaging spectrum instrument is utilized to obtain mineral and lithologic information of the area, the mineral and lithologic information is compared and analyzed with mineral and lithologic information obtained by an unmanned aerial vehicle remote sensing image, and the possibly existing unfavorable geological type of the area is further determined; selecting a matched geophysical exploration method aiming at the type of the poor geologic body; carrying out geophysical exploration in a key exploration area possibly having poor geologic bodies to obtain on-site geophysical exploration data; carrying out inversion on geophysical prospecting data to obtain a stratum model below a key exploration area; and (3) carrying out geological interpretation according to the geological model obtained by inversion, and determining the position, range and scale of occurrence of the bad geological body (fault, broken rock mass or water-containing body).
The selection of the geophysical exploration method requires the following steps:
(1) If abnormal bodies with elasticity difference, such as fault fracture zones, fractured rock masses and the like, are detected, a seismic wave reflection method is adopted;
(2) If the aqueous body is to be localized, a resistivity method or an induced polarization method is used.
And 4, step 4: acquiring image spectrum information of geological bodies around the tunnel face in the tunnel at the tunnel face, identifying mineral and lithology information in the tunnel, and determining the relative positions of the unfavorable geological bodies and the tunnel face by combining a geophysical prospecting test in the tunnel and a three-dimensional geological model of a tunnel site area.
In the specific implementation process, the push-broom type spectral imager is installed and debugged at the tunnel face; carrying out a spectral imaging test at the face of the tunnel to obtain image spectral information of the face of the tunnel and surrounding rock masses; preprocessing image spectrum information, and then performing inversion to obtain mineral and lithology information of a tunnel face and surrounding rock masses; carrying out a field geophysical prospecting test to obtain the position, range and scale of the poor geologic body in front of the tunnel face; comprehensively analyzing the tunnel geophysical inversion result and the earth surface geophysical exploration result, and further determining the position, range and scale of the poor geologic body; taking the tunnel axis as a datum line, taking the range of 50m at two sides of the contour line, adopting the digital elevation model data of the tunnel site area, establishing a three-dimensional geological model of the tunnel site area, and determining the relative position of the unfavorable geological body and the tunnel face.
The pretreatment and inversion process of the spectrum data is as follows:
(1) Preprocessing the spectral image, including radiation correction and dark field correction, for eliminating background noise generated in the data acquisition and transmission process;
(2) Reading the processed hyperspectral data into ENVI software, and displaying a gray image and a color composite image;
(3) Extracting a spectral curve, and matching lithology and mineral information of a tunnel face and surrounding geologic bodies by using spectral characteristic information and combining the existing spectral database;
the process of establishing the three-dimensional geological model of the tunnel site area comprises the following steps:
(1) Taking the tunnel axis as a datum line, taking the range of 50m at two sides of the contour line, and establishing a three-dimensional geological profile of a tunnel site area by adopting a digital elevation model;
(2) Calibrating the bad geological body on a three-dimensional geological profile according to the obtained relative position relation between the bad geological body and the tunnel face and the occurrence range of the bad geological body;
(3) And endowing the tunnel face and the surrounding rock mass with lithology and mineral information corresponding to each point to complete the establishment of the tunnel three-dimensional geological model.
And 5: and determining the position to be drilled according to the three-dimensional geological model of the tunnel site area and the relative positions of the unfavorable geologic body and the tunnel face, and finally determining the type and the property of the unfavorable geologic body based on the field drilling test result.
Specifically, a drilling position is selected according to the position of the unfavorable geologic body determined by a geophysical prospecting method, a field advanced drilling test is developed to analyze drilling parameters obtained in the drilling process, and lithology and mineral information of the unfavorable geologic section are obtained; after drilling is finished, performing spectral scanning on a core taken out by a drill bit, identifying lithology and mineral information of the core, comparing the lithology and mineral information with lithology and mineral information obtained by parameter inversion while drilling, and comprehensively analyzing accurate lithology and mineral information of a bad geological section; combining the range of the obtained poor geologic body with the lithology and mineral type of the poor geologic body obtained in the next step to realize the identification of the shape and the nature of the poor geologic body; and (4) arranging tunnel construction planning by using the three-dimensional geological model of the tunnel site area, and preventing possible geological disasters.
The process of acquiring the lithology and mineral information of the unfavorable geological section by parameter inversion while drilling comprises the following steps:
(1) And carrying out an on-site advanced drilling test, and acquiring while-drilling parameters in the drilling process, wherein the while-drilling parameters comprise a drilling speed V, a drilling thrust F, a drill bit rotating speed N, a drilling torque M and a drilling depth D.
(2) Performing data preprocessing, and performing missing data compensation, abnormal data elimination and redundant data monitoring on the acquired data;
(3) Carrying out normalization processing on the five while-drilling parameters to obtain a drilling index of a bad geological section;
(4) And matching lithology and mineral information of the unfavorable geological section by using the drilling index and combining the existing drilling database.
Example two
The embodiment provides a sky-air-ground-tunnel-hole integrated unfavorable geology identification system, which comprises:
the key exploration area determining module is used for acquiring satellite remote sensing image data and a digital elevation model along a tunnel site area and determining a key exploration area through geological analysis;
the unfavorable geological type prediction module is used for extracting corresponding geological structure information and lithology information based on the unmanned aerial vehicle remote sensing spectral image of the key exploration area and identifying the possible unfavorable geological type of the key exploration area;
the system comprises a bad geologic body distribution determining module, a spectrum analyzing module and a data processing module, wherein the bad geologic body distribution determining module is used for acquiring corresponding mineral and lithologic information based on a spectrum test of a key exploration area where a bad geologic body possibly exists, and determining the position, range and scale of bad geologic body distribution by combining with a surface geophysical exploration result;
the relative position determining module is used for acquiring image spectrum information of geological bodies around the tunnel face in the tunnel at the tunnel face, identifying mineral and lithology information in the tunnel, and determining the relative positions of the poor geological bodies and the tunnel face by combining a geophysical prospecting test in the tunnel and a three-dimensional geological model of a tunnel site area;
and the abnormity verification module is used for determining the drilling position according to the three-dimensional geological model of the tunnel site area and the relative positions of the unfavorable geologic body and the tunnel face, and finally determining the type and the property of the unfavorable geologic body based on the field drilling test result.
As an embodiment, in the relative position determining module, a three-dimensional geological model of the tunnel is constructed according to the survey data of the tunnel site area;
as an implementation manner, in the key survey area determining module, radar data is acquired in a tunnel site area by using a synthetic aperture radar interferometry method, and a high-resolution digital elevation model is generated by processing the radar data;
as an implementation mode, according to remote sensing image data of a tunnel site area, extracting spectral feature, textural feature and geometric feature information, and performing inversion on stratum lithology and mineral information of the tunnel site area according to the corresponding relation between the spectral feature, textural feature and geometric feature information and minerals and lithology;
as an embodiment, the key survey area determination module is further configured to:
extracting topographic feature information of a tunnel site area through a digital elevation model;
and (3) through stratum lithology, mineral information and topographic features, presuming an area in the tunnel site area, wherein the geological environment is fragile and the stability does not meet the set requirement, and defining the area as a potential geological disaster hidden danger area, namely a key investigation area.
It should be noted that, each module in the present embodiment corresponds to each step in the first embodiment one to one, and the specific implementation process thereof is the same, and the description thereof is not repeated here.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the above-described integrated sky-space-ground-tunnel-hole unfavorable geological identification method.
Example four
The present embodiment provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for identifying poor geology with integration of sky, space, ground, tunnel and hole.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A space-air-ground-tunnel-hole integrated unfavorable geology identification method is characterized by comprising the following steps:
acquiring satellite remote sensing image data and a digital elevation model of a tunnel site area, and determining a key investigation area through geological analysis;
extracting corresponding geological structure information and lithology information based on the unmanned aerial vehicle remote sensing spectrum image of the key exploration area, and identifying the possible unfavorable geological types of the key exploration area;
acquiring corresponding mineral and lithology information based on a spectrum test of a key exploration area possibly having a bad geologic body, and determining the position, range and scale of the distribution of the bad geologic body by combining with a geophysical exploration result of the earth surface;
acquiring image spectrum information of geological bodies around a tunnel face in a tunnel at the tunnel face, identifying mineral and lithologic information in the tunnel, and determining the relative positions of the unfavorable geological bodies and the tunnel face by combining a geophysical prospecting test in the tunnel and a three-dimensional geological model of a tunnel site area;
and determining the drilling position according to the three-dimensional geological model of the tunnel site area and the relative positions of the unfavorable geologic body and the tunnel face, and finally determining the type and the property of the unfavorable geologic body based on the field drilling test result.
2. The integrated sky-air-ground-tunnel-hole unfavorable geology identification method of claim 1 wherein a three-dimensional geological model of the tunnel site area is constructed from pre-tunnel survey data.
3. The integrated sky-space-ground-tunnel-hole unfavorable geology identification method according to claim 1 or 2, characterized in that radar data are acquired by a synthetic aperture radar interferometry method at a tunnel site area, and a high-resolution digital elevation model is generated by processing the radar data.
4. The integrated sky-air-ground-tunnel-hole unfavorable geology identification method according to claim 1, characterized in that spectral features, texture features and geometric feature information are extracted according to the remote sensing image data of the tunnel site area, and the lithology and the mineral information of the strata in the tunnel site area are inverted according to the corresponding relation between the spectral features, the texture features and the geometric feature information and the minerals and the lithology;
extracting topographic feature information of a tunnel site area through a digital elevation model;
and (3) through stratum lithology, mineral information and topographic features, presuming an area in the tunnel site area, wherein the geological environment is fragile and the stability does not meet the set requirement, and defining the area as a potential geological disaster hidden danger area, namely a key investigation area.
5. The integrated sky-air-ground-tunnel-hole unfavorable geological recognition method as recited in claim 1, characterized in that the spectral imaging work is carried out in the determined key survey area by using the unmanned aerial vehicle equipped with the spectral camera.
6. The integrated sky-space-ground-tunnel-hole unfavorable geology identification method of claim 1, characterized in that the tunnel interior mineral and lithology information is identified at the tunnel face using a push-broom spectral imager.
7. A sky-space-ground-tunnel-hole integrated unfavorable geology identification system, comprising:
the key survey area determining module is used for acquiring satellite remote sensing image data and a digital elevation model along a tunnel site area, and determining a key survey area through geological analysis;
the unfavorable geological type prediction module is used for extracting corresponding geological structure information and lithology information based on the unmanned aerial vehicle remote sensing spectral image of the key exploration area and identifying the possible unfavorable geological type of the key exploration area;
the system comprises a bad geologic body distribution determining module, a spectrum analyzing module and a data processing module, wherein the bad geologic body distribution determining module is used for acquiring corresponding mineral and lithologic information based on a spectrum test of a key exploration area where a bad geologic body possibly exists, and determining the position, range and scale of bad geologic body distribution by combining with a surface geophysical exploration result;
the relative position determining module is used for acquiring image spectrum information of geological bodies around the tunnel face in the tunnel at the tunnel face, identifying mineral and lithology information in the tunnel, and determining the relative positions of the poor geological bodies and the tunnel face by combining a geophysical prospecting test in the tunnel and a three-dimensional geological model of a tunnel site area;
and the abnormity verification module is used for determining the drilling position according to the three-dimensional geological model of the tunnel site area and the relative positions of the unfavorable geologic body and the tunnel face, and finally confirming the type and the property of the unfavorable geologic body based on the field drilling test result.
8. The integrated sky-air-ground-tunnel-hole unfavorable geological identification system as recited in claim 7 wherein, in said relative position determination module, a three-dimensional geological model of the tunnel site area is constructed from pre-tunnel survey data.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the sky-space-ground-tunnel-hole integrated bad geology identification method according to any one of claims 1 to 6.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps in the integrated sky-space-ground-tunnel-hole bad geology identification method of any one of claims 1-6.
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| PCT/CN2023/128811 WO2024083262A1 (en) | 2022-10-19 | 2023-10-31 | Space-sky-ground-tunnel-hole integrated unfavorable geology identification method and system |
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