CN107390278A - A kind of radioactivity mineral exploration method - Google Patents
A kind of radioactivity mineral exploration method Download PDFInfo
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- CN107390278A CN107390278A CN201710568367.7A CN201710568367A CN107390278A CN 107390278 A CN107390278 A CN 107390278A CN 201710568367 A CN201710568367 A CN 201710568367A CN 107390278 A CN107390278 A CN 107390278A
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- 229910052500 inorganic mineral Inorganic materials 0.000 title claims abstract description 32
- 239000011707 mineral Substances 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 31
- 238000013461 design Methods 0.000 claims abstract description 22
- 238000004088 simulation Methods 0.000 claims abstract description 19
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 238000005516 engineering process Methods 0.000 claims abstract description 5
- 238000003860 storage Methods 0.000 claims abstract description 4
- 230000002123 temporal effect Effects 0.000 claims description 7
- 239000013589 supplement Substances 0.000 claims description 6
- 230000001174 ascending effect Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 3
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000005192 partition Methods 0.000 claims description 3
- 239000000047 product Substances 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 239000000203 mixture Substances 0.000 abstract description 2
- 230000002285 radioactive effect Effects 0.000 description 5
- 238000005457 optimization Methods 0.000 description 3
- 230000003321 amplification Effects 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 230000001427 coherent effect Effects 0.000 description 1
- 230000005251 gamma ray Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 229910052761 rare earth metal Inorganic materials 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000031068 symbiosis, encompassing mutualism through parasitism Effects 0.000 description 1
- 239000011800 void material Substances 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V5/00—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity
- G01V5/20—Detecting prohibited goods, e.g. weapons, explosives, hazardous substances, contraband or smuggled objects
- G01V5/271—Detecting prohibited goods, e.g. weapons, explosives, hazardous substances, contraband or smuggled objects using a network, e.g. a remote expert, accessing remote data or the like
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- Physics & Mathematics (AREA)
- High Energy & Nuclear Physics (AREA)
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- General Physics & Mathematics (AREA)
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- Measurement Of Radiation (AREA)
Abstract
The invention discloses a kind of radioactivity mineral exploration method, comprise the following steps:Reconnoitring embedded, the composition mineral exploration data real-time update storage module of progress sensor group in area, video acquisition module;The forecast analysis of collected mineral exploration data is completed, and completes the pretreatment of video data;Using FLAC3D technologies reconnoitre the structure of area's physical model;The design of virtual actuator, virtual-sensor and simulation analysis module is carried out in the physical model of structure;Circulated by virtual actuator and perform simulation analysis module, result is fed back into virtual-sensor, virtual-sensor receives result and automatic display data;The three-dimensionalreconstruction in area is reconnoitred in completion.The present invention, which improves, reconnoitres the accuracy that area's physical model is established;System carries data analysis function so that monitoring result is very clear;Realize the overall display for reconnoitring section model, while by the real-time update of data, realize the dynamic change of model.
Description
Technical field
The present invention relates to mineral exploration field, and in particular to a kind of radioactivity mineral exploration method.
Background technology
Radioactivity survey is also known as radioactivity survey or " gamma method ".Released by means of natural radioactive element decay in the earth's crust
α, β, gamma-rays, during through material, the special physical phenomenons such as free, fluorescence will be produced, people are according to radioactive ray
Physical property utilizes specialized equipment (such as radiation gauge, emanometer), by measuring the transmitted intensity of radioactive element or emanating dense
Spend to find radioactive occurrence and solve a kind of geophysical prospecting method about geological problem.And find and radioactive element symbiosis
Rare element, rare earth element and the supplementary means in multiple metallic element mineral deposit.Radioactivity geophysical prospecting method has γ measurements, radiation to take
Sample, γ-ray logging, emanation measurement, track etch survey and physical analysis etc..
The content of the invention
It is an object of the invention to provide a kind of radioactivity mineral exploration method, is built by way of image and parameter are combined
Mould, improve the accuracy for establishing the physical model for reconnoitring area;System carries data analysis function so that the mesh of monitoring result one
So;Entirety is realized by 3-D view reconstruct and reconnoitres the display of section model, while by the real-time update of data, realizes mould
The dynamic change of type, staff is facilitated to reconnoitring the observation of area's situation.
To achieve the above object, the technical scheme taken of the present invention is:
A kind of radioactivity mineral exploration method, comprises the following steps:
S1, by probing, probing and trenching reconnoitring carried out in area sensor group, video acquisition module it is embedded, set up
Network data transmission system, so as to form mineral exploration data real-time update storage module;Wherein sensor and video acquisition mould
Block is laid using one-to-one corresponding;
S2, analysis is predicted to the mineral exploration data collected by data analysis module;And pass through video preprocessor
Processing module completes the pretreatment of video data;
S3, using FLAC3D technologies according to the video data after the completion of the mineral exploration data that are collected and pretreatment
Reconnoitre the structure of area's physical model;
S4, the design for carrying out in the physical model of gained virtual actuator, virtual-sensor and simulation analysis module;
S5, execution simulation analysis module is circulated by virtual actuator, result is fed back into virtual-sensor, virtual sensing
Device receives result and automatic display data;
S6, the video depth image for that will be obtained carry out trigonometric ratio, and all triangles are then merged in metric space
The depth image of change, which is built, is layered Signed Distance Field, and all voxel applications entirety triangulations produce one in field of adjusting the distance
The individual convex closure for covering all voxels, and Marching Tetrahedra algorithm construction contour surfaces are utilized, by the survey area of acquisition
Contour surface is spliced by the geographical coordinate of survey area, so as to complete to reconnoitre the three-dimensionalreconstruction in area, and by the reconstruct image of gained
Shown as being sent to display screen.
Wherein, the virtual actuator is used to drive Parameters variation, and building each element in module with physical model builds
After vertical relation, parameter can be changed in specified scope, so as to driving simulation analysis method for different
Parameter carries out calculating solution;And for changing position, the direction setting of transfering node, move physical model;It is additionally operable to basis
The control command of reception carries out decomposition, cutting, amplification and the diminution of physical model;
Wherein, the virtual-sensor is the mesh that can directly obtain corresponding result or information inserted in physical model
Target logic unit.
Wherein, the simulation analysis module, design variable, design object and design constraint can be decomposed into for inputting
Parameter, algorithm, and be unit, characteristic and load by input parameter, algorithm partition, the physical model element specified is applied to respectively
On.
Wherein, stored in the forecast analysis module and all kinds of typical reconnoitre area's related data and its and may represent
Mineral products situation, data analysis unit is established using statistical regression and data-driven method, given birth to using according to the data that collect
Into area's testing result information is reconnoitred in short term, it is sent to corresponding database and is stored, and be sent to human-computer interaction module progress
Display;Be additionally operable to receive reconnoitre area's data and the data that are stored carry out similar degree contrast, and by comparison result according to
After similarity carries out ascending order or descending sort, display screen is sent to.
Wherein, the sensor group comprises at least Hall sensor, radioisotope detector and ultrasonic sensor.
Wherein, the video data include multiple continuous frame of video, coordinate information corresponding with each frame of video and
Temporal information, coordinate information are uniquely corresponding with temporal information.
Wherein, the video pre-filtering module completes the pretreatment of video data by following steps:
Acquired video file is parsed, obtains at least two image A, it is determined that each image A deflection angle,
And each image A supplement deflection angle is calculated according to each image A deflection angle, deflected according to each image A supplement
Angle repaints each image A, obtains image A1 corresponding to each image A, then by all image A1 by coordinate information and
Temporal information synthetic video, obtain pretreated video.
Wherein, each image A deflection angle is determined by multi-angle object identification, is specifically included
The image A of predetermined number is chosen from all image A;
Multi-angle object identification is carried out to each selected image A;
Each selected image A deflection angle is determined according to recognition result, and according to each selected image A deflection angle
It is determined that each unselected image A deflection angle.
The invention has the advantages that:
The physical model for reconnoitring area is established by way of image and parameter blend, improves the accuracy of modeling;System
System carries data analysis function so that monitoring result is very clear;Entirety is realized by 3-D view reconstruct and reconnoitres section model
Display, while by the real-time update of data, realize the dynamic change of model;Pass through customized virtual actuator, void
Intend the foundation of sensor and simulation analysis module, realize the analogue simulation analysis for reconnoitring area's situation, further facilitated work
Personnel are to reconnoitring the research of area's situation.
Embodiment
In order that objects and advantages of the present invention are more clearly understood, the present invention is carried out with reference to embodiments further
Describe in detail.It should be appreciated that specific embodiment described herein is not intended to limit the present invention only to explain the present invention.
The embodiments of the invention provide a kind of radioactivity mineral exploration method, comprise the following steps:
S1, by probing, probing and trenching reconnoitring carried out in area sensor group, video acquisition module it is embedded, set up
Network data transmission system, so as to form mineral exploration data real-time update storage module;Wherein sensor and video acquisition mould
Block is laid using one-to-one corresponding;The sensor group comprises at least Hall sensor, radioisotope detector and ultrasonic wave
Sensor.The video data includes multiple continuous frame of video, coordinate information corresponding with each frame of video and time letter
Breath, coordinate information are uniquely corresponding with temporal information.
S2, analysis is predicted to the mineral exploration data collected by data analysis module;The forecast analysis
Stored in module it is all kinds of typically reconnoitre area's related data and its mineral products situation that may be represented, using statistical regression and
Data-driven method establishes data analysis unit, and area's testing result information is reconnoitred in short term using according to the data generation collected,
Database corresponding to being sent to is stored, and is sent to human-computer interaction module and is shown;It is additionally operable to reconnoitre what is received
Area's data and the data stored carry out similar degree contrast, and comparison result is carried out into ascending order or descending sort according to similarity
Afterwards, display screen is sent to, is updated wherein the data in the data analysis module can be realized by data update module;By regarding
Frequency pretreatment module completes the pretreatment of video data, specifically, being parsed to acquired video file, obtains at least two
Individual image A, it is determined that each image A deflection angle, and according to each image A of each image A deflection angle calculating supplement
Deflection angle, each image A is repainted according to each image A supplement deflection angle, obtains image corresponding to each image A
A1, all image A1 are then pressed into coordinate information and temporal information synthetic video, obtain pretreated video;Wherein, pass through
Multi-angle object identification determines each image A deflection angle, specifically includes
The image A of predetermined number is chosen from all image A;
Multi-angle object identification is carried out to each selected image A;
Each selected image A deflection angle is determined according to recognition result, and according to each selected image A deflection angle
It is determined that each unselected image A deflection angle.
S3, using FLAC3D technologies according to the video data after the completion of the mineral exploration data that are collected and pretreatment
Reconnoitre the structure of area's physical model;
S4, the design for carrying out in the physical model of gained virtual actuator, virtual-sensor and simulation analysis module;
The virtual actuator is used to drive Parameters variation, can be with after each element opening relationships in module is built with physical model
Parameter is changed in specified scope, carrying out calculating for different parameters so as to driving simulation analysis method asks
Solution;And for changing position, the direction setting of transfering node, move physical model;It is additionally operable to the control command according to reception
Carry out decomposition, cutting, amplification and the diminution of physical model;The virtual-sensor can be obtained directly for what is inserted in physical model
Take the logic unit of the target of corresponding result or information.The simulation analysis module, design change can be decomposed into for inputting
Parameter, the algorithm of amount, design object and design constraint, and be unit, characteristic and load by input parameter, algorithm partition, distinguish
It is applied on the physical model element specified.
S5, execution simulation analysis module is circulated by virtual actuator, result is fed back into virtual-sensor, virtual sensing
Device receives result and automatic display data;
S6, the video depth image for that will be obtained carry out trigonometric ratio, and all triangles are then merged in metric space
The depth image of change, which is built, is layered Signed Distance Field, and all voxel applications entirety triangulations produce one in field of adjusting the distance
The individual convex closure for covering all voxels, and Marching Tetrahedra algorithm construction contour surfaces are utilized, by the survey area of acquisition
Contour surface is spliced by the geographical coordinate of survey area, so as to complete to reconnoitre the three-dimensionalreconstruction in area, and by the reconstruct image of gained
Shown as being sent to display screen.
In the design variable, design object and design constraint and simulation analysis module coherent element have directly or
The corresponding relation connect, so as to set up the corresponding relation between element, so as to break the estrangement of two intermodules, and it can drive
Simulation analysis module is played, and therefrom directly obtains desired data, so that greatly raising efficiency and the quality of data.The emulation
Element is provided with analysis module:Macroelement is the real object of simulation analysis;Property:Characteristic is some analyses pair
As upper static shared attribute information;Load:Load analyzes external influence factors or condition in load to be carried in these;
Analysis:Analyze as all kinds of specific simulating analysis and appraisal procedure;Result:The data that are calculated and it is based on
The form of data processing, cloud atlas, report;Variable:Design variable is the mark of variable in model;Target:Design mesh
Mark is the result eventually for fine or not or the rational index or index for weighing model;Constraint:Design constraint
It is the rule that system needs to observe when considering to optimize;
OptAlgorithm:Optimization Design is all kinds of specific algorithms for optimizing design;OptResult:Optimization
As a result the optimal value for the design variable being calculated by optimization.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (9)
- A kind of 1. radioactivity mineral exploration method, it is characterised in that comprise the following steps:S1, by probing, probing and trenching reconnoitring carried out in area sensor group, video acquisition module it is embedded, set up network Data transmission system, so as to form mineral exploration data real-time update storage module;Wherein sensor is adopted with video acquisition module Laid with corresponding;S2, analysis is predicted to the mineral exploration data collected by data analysis module;And pass through video pre-filtering Module completes the pretreatment of video data;S3, carried out according to the video data after the completion of the mineral exploration data that are collected and pretreatment using FLAC3D technologies Reconnoitre the structure of area's physical model;S4, the design for carrying out in the physical model of gained virtual actuator, virtual-sensor and simulation analysis module;S5, execution simulation analysis module is circulated by virtual actuator, result is fed back into virtual-sensor, virtual-sensor connects Receive result and automatic display data;S6, the video depth image for that will be obtained carry out trigonometric ratio, and all trigonometric ratios are then merged in metric space Depth image, which is built, is layered Signed Distance Field, and all voxel applications entirety triangulations produce a culvert in field of adjusting the distance The convex closure of all voxels is covered, and utilizes Marching Tetrahedra algorithm construction contour surfaces, the survey area of acquisition is equivalent Face is spliced by the geographical coordinate of survey area, so as to complete to reconnoitre the three-dimensionalreconstruction in area, and the reconstructed image of gained is sent out Display screen is sent to be shown.
- 2. a kind of radioactivity mineral exploration method as claimed in claim 1, it is characterised in that the virtual actuator is used to drive Dynamic Parameters variation, after each element opening relationships in module is built with physical model, can enter in specified scope to parameter Row is changed, and calculating solution is carried out for different parameters so as to driving simulation analysis method;And for changing transfering node Position, direction set, move physical model;It is additionally operable to carry out the decomposition of physical model according to the control command of reception, cuts Cut, amplify and reduce.
- 3. a kind of radioactivity mineral exploration method as claimed in claim 1, it is characterised in that the virtual-sensor is in thing The logic unit for the target that can directly obtain corresponding result or information inserted in reason model.
- 4. a kind of radioactivity mineral exploration method as claimed in claim 1, it is characterised in that the simulation analysis module, use Design variable, design object and the parameter of design constraint, algorithm can be decomposed into input, and by input parameter, algorithm partition For unit, characteristic and load, it is applied to respectively on the physical model element specified.
- 5. a kind of radioactivity mineral exploration method as claimed in claim 1, it is characterised in that stored up in the forecast analysis module Have it is all kinds of typically reconnoitre area's related data and its mineral products situation that may be represented, using statistical regression and data-driven Method establishes data analysis unit, reconnoitres area's testing result information in short term using according to the data generation collected, is sent to pair The database answered is stored, and is sent to human-computer interaction module and is shown;Be additionally operable to by receive reconnoitre area's data with The data that are stored carry out similar degree contrast, and after comparison result is carried out into ascending order or descending sort according to similarity, are sent to Display screen.
- 6. a kind of radioactivity mineral exploration method as claimed in claim 1, it is characterised in that the sensor group comprises at least Hall sensor, radioisotope detector and ultrasonic sensor.
- 7. a kind of radioactivity mineral exploration method as claimed in claim 1, it is characterised in that the video data includes multiple Continuous frame of video, coordinate information corresponding with each frame of video and temporal information, coordinate information are uniquely right with temporal information Should.
- 8. a kind of radioactivity mineral exploration method as claimed in claim 1, it is characterised in that the video pre-filtering module is led to Cross the pretreatment that following steps complete video data:Acquired video file is parsed, obtains at least two image A, it is determined that each image A deflection angle, and root Each image A supplement deflection angle is calculated according to each image A deflection angle, according to each image A supplement deflection angle Each image A is repainted, obtains image A1 corresponding to each image A, all image A1 are then pressed into coordinate information and time Information synthetic video, obtain pretreated video.
- 9. a kind of radioactivity mineral exploration method as claimed in claim 8, it is characterised in that true by multi-angle object identification Fixed each image A deflection angle, is specifically includedThe image A of predetermined number is chosen from all image A;Multi-angle object identification is carried out to each selected image A;Each selected image A deflection angle is determined according to recognition result, and is determined according to each selected image A deflection angle Each unselected image A deflection angle.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110866348A (en) * | 2019-11-29 | 2020-03-06 | 咸阳职业技术学院 | Fault early warning method for wind turbine generator gearbox |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202815237U (en) * | 2012-10-27 | 2013-03-20 | 东北石油大学 | Remote detection device for mineral exploration |
CN104836978A (en) * | 2014-03-10 | 2015-08-12 | 腾讯科技(北京)有限公司 | Video processing method and device |
CN105704398A (en) * | 2016-03-11 | 2016-06-22 | 咸阳师范学院 | Video processing method |
CN105759320A (en) * | 2016-04-22 | 2016-07-13 | 周丹 | Underground mineral product detector provided with magnetic field intensity detector |
CN105785474A (en) * | 2016-04-22 | 2016-07-20 | 周丹 | Underground mineral detector |
CN105869372A (en) * | 2016-04-22 | 2016-08-17 | 周丹 | Underground mineral product detector with video acquisition unit |
CN105893655A (en) * | 2016-03-17 | 2016-08-24 | 西安石油大学 | Physical simulation method for petroleum reservoir architecture |
CN106228513A (en) * | 2016-07-18 | 2016-12-14 | 黄河科技学院 | A kind of Computerized image processing system |
CN106251249A (en) * | 2016-07-28 | 2016-12-21 | 内蒙古科技大学 | A kind of construction informationization dynamic monitoring system |
CN106560820A (en) * | 2016-10-09 | 2017-04-12 | 钦州学院 | Shale gas reservoir logging evaluating method |
CN106593534A (en) * | 2016-12-18 | 2017-04-26 | 河北科技大学 | Intelligent tunnel construction security monitoring system |
-
2017
- 2017-07-08 CN CN201710568367.7A patent/CN107390278A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202815237U (en) * | 2012-10-27 | 2013-03-20 | 东北石油大学 | Remote detection device for mineral exploration |
CN104836978A (en) * | 2014-03-10 | 2015-08-12 | 腾讯科技(北京)有限公司 | Video processing method and device |
CN105704398A (en) * | 2016-03-11 | 2016-06-22 | 咸阳师范学院 | Video processing method |
CN105893655A (en) * | 2016-03-17 | 2016-08-24 | 西安石油大学 | Physical simulation method for petroleum reservoir architecture |
CN105759320A (en) * | 2016-04-22 | 2016-07-13 | 周丹 | Underground mineral product detector provided with magnetic field intensity detector |
CN105785474A (en) * | 2016-04-22 | 2016-07-20 | 周丹 | Underground mineral detector |
CN105869372A (en) * | 2016-04-22 | 2016-08-17 | 周丹 | Underground mineral product detector with video acquisition unit |
CN106228513A (en) * | 2016-07-18 | 2016-12-14 | 黄河科技学院 | A kind of Computerized image processing system |
CN106251249A (en) * | 2016-07-28 | 2016-12-21 | 内蒙古科技大学 | A kind of construction informationization dynamic monitoring system |
CN106560820A (en) * | 2016-10-09 | 2017-04-12 | 钦州学院 | Shale gas reservoir logging evaluating method |
CN106593534A (en) * | 2016-12-18 | 2017-04-26 | 河北科技大学 | Intelligent tunnel construction security monitoring system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110866348A (en) * | 2019-11-29 | 2020-03-06 | 咸阳职业技术学院 | Fault early warning method for wind turbine generator gearbox |
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