CN107066690A - A kind of computer based image calculates drilling depth control system - Google Patents
A kind of computer based image calculates drilling depth control system Download PDFInfo
- Publication number
- CN107066690A CN107066690A CN201710120623.6A CN201710120623A CN107066690A CN 107066690 A CN107066690 A CN 107066690A CN 201710120623 A CN201710120623 A CN 201710120623A CN 107066690 A CN107066690 A CN 107066690A
- Authority
- CN
- China
- Prior art keywords
- image
- input
- output end
- module
- computer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005553 drilling Methods 0.000 title claims abstract description 58
- 238000012545 processing Methods 0.000 claims abstract description 24
- 238000006243 chemical reaction Methods 0.000 claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000000354 decomposition reaction Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 9
- 230000035772 mutation Effects 0.000 claims description 9
- 230000008707 rearrangement Effects 0.000 claims description 9
- 230000001086 cytosolic effect Effects 0.000 claims description 8
- 238000012937 correction Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 abstract description 8
- 238000001514 detection method Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 238000003384 imaging method Methods 0.000 description 3
- 241001074085 Scophthalmus aquosus Species 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000021186 dishes Nutrition 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/265—Mixing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Excavating Of Shafts Or Tunnels (AREA)
- Image Processing (AREA)
Abstract
Drilling depth control system is calculated the invention discloses a kind of computer based image, the input of acquisition terminal is electrically connected with the output end of the first power supply module and input module respectively；The input of image capture controller and the output end of ccd image sensor are electrically connected with；The input of ccd image sensor is electrically connected with the output end of the first CCD camera and the second CCD camera respectively；The input of computer is connected by the output end of LAN and acquisition terminal；The output end of computer is electrically connected with the input of external memory, image co-registration module, image conversion module and data processing module respectively；The output end of computer is electrically connected with by the input of IMAQ analysis module and image processing module；By generating ground model and well drilling rail model with constraints, measurement result depends on actual wellbore trace, and measurement result is more accurate.
Description
Technical field
Drilling depth control is calculated the invention belongs to engineering Inspection Technique field, more particularly to a kind of computer based image
System processed.
Background technology
Safety detection can be carried out to whole mine by borehole television imaging technique at present, but in detection process such as
A certain place mine is gone wrong, it is impossible to know its depth in time, and inconvenience is brought to mine supervision, and this is due to drilling electricity
Depending in imaging technique system to the detection of drilling into television image depth measurement, be generally connected using camera with main frame
Wire eat dishes without rice or wine install counting wheel measurement camera depth；Or calculated by the scale on circular hollow metal tube
The depth of camera, reaches the purpose of mark drilling depth, but when being due to angle of inclination and the unintelligible scale of metal tube,
The depth of camera can be caused inaccurate.
The content of the invention
Drilling depth control system is calculated it is an object of the invention to provide a kind of computer based image, it is intended to solved
Existing borehole imaging measures the problem of drilling depth is inaccurate.
The present invention is adopted the technical scheme that to solve technical problem present in known technology：
A kind of computer based image calculates drilling depth control system, and it is deep that the computer based image calculates drilling
Drilling depth control is realized by the following method in degree control system：
Step 1: according to the analysis processing result of the geologic information of target reservoir, determining in target reservoir in net horizontal section
The estimation range of ground cytoplasmic mutation, when the drilling bit in the net horizontal section reaches estimation range, according to acquisition with brill ground
Matter data, determines the type of position and described ground cytoplasmic mutation of the described ground cytoplasmic mutation in the estimation range；
Step 2: ground model and well drilling rail model of the generation with constraints；
Step 3: the Coordinate Conversion set up between general target plane equation and target coordinate system and mouth coordinate system is closed
System, with the target plane suitable for various well type；
Step 4: trajectory parameters and well section length based on the shaft bottom point, predict rarget direction and check whether meet
Engine request, the rarget direction is included into target hole angle and azimuth；
Step 5: carrying out orbiting collision scanning, and obtain collision result；
Step 6: being drilled according to rarget direction and collision result, obtain drilling original image and original image adds
Enter the degraded image after ambient light background color, obtain the colourity difference of the original image and degraded image and utilize the colourity
Difference carries out chromatic compensation to be compensated rear image to the original image；
Step 7: being corrected acquisition correction data to view data after the compensation, correction data is carried out except processing of making an uproar
Obtain except data of making an uproar, data rearrangement is obtained to entering rearrangement except data of making an uproar, carrying out convolution to data rearrangement obtains convolved data；
Step 8: the deviational survey data based on last two measuring point of drilling trajectory, calculate the track characteristic parameter that section is surveyed at end, it is described
Deviational survey data are well depth, hole angle, azimuth, and the track characteristic parameter is used to characterize the last trajectory shape for surveying section；
Step 9: image after compensation is spliced with track characteristic parameter, for processing defined in multiple stitching images
One group of image, at least one composition in this group of image is alignd, by being cut out, adjusting to one or more image
Whole size converts a series of one or more images to produce process conversion in the image by alignment with rotation；
Step 10: using the wavelet threshold denoising function based on the corresponding multiple noise thresholds of multi-level Wavelet Transform coefficient, to institute
State multi-level Wavelet Transform coefficient and carry out denoising, utilize the corresponding figure by conversion of multi-level Wavelet Transform coefficient reconstruct after denoising
Picture；
Step 11: the image according to well drilling rail model and by conversion calculates real-time drilling orientation and depth.
Further, the step of determining every layer of wavelet coefficient corresponding noise threshold includes：
The corresponding noise threshold of every layer of wavelet coefficient is determined according to equation below：
Wherein, g is the sum of the wavelet coefficient of noisy image, and k is corresponding decomposition layer ordinal number, λkTo enter to noisy image
The noise threshold of kth layer after g layers of wavelet decomposition of row；
δk=median (| (wpq)k|)/0.6745
(wpq)kRepresent the level of kth layer after wavelet decomposition, vertically, diagonally adjacent high frequency coefficient.
Another object of the present invention is to provide a kind of computer based image to calculate drilling depth control system, including
Acquisition terminal, image capture controller and computer, the input of the acquisition terminal respectively with the first power supply module and input
The output end of module is electrically connected with；The input of described image acquisition controller and the output end of ccd image sensor electrically connect
Connect；The input of the ccd image sensor electrically connects with the output end of the first CCD camera and the second CCD camera respectively
Connect；The input of the computer is connected by the output end of LAN and acquisition terminal；The input difference of the computer
It is electrically connected with the output end of the second power supply module and operation module；The output end of the computer respectively with external memory, figure
As the input of Fusion Module, image conversion module and data processing module is electrically connected with；The output end of the computer passes through
The input of IMAQ analysis module and image processing module is electrically connected with；The computer respectively with RAM memory, MRAM
Memory and database are electrically connected with.
Further, the output end of the acquisition terminal and the input of the first display module are electrically connected with.
Further, the output end of the computer and the input of the second display module are electrically connected with.
Further, the output end of the input of the input module and image capture controller is electrically connected with.Present invention tool
Some advantages and good effect are：The computer based image calculates drilling depth control system, passes through the first CCD camera
Bore inner situation is detected with the second CCD camera, it is ensured that detect the complete and clear of picture, acquisition terminal will be detected
Picture is sent in computer by LAN, it is ensured that the safety of information is sent to, and computer utilizes image co-registration module, graphics
As modular converter, IMAQ analysis module and image processing module are integrated, analyzed and processed to detection picture, recycling number
Final calculating is carried out to the data of drilling according to processing module, the depth drilled in detection picture counted using computer
Calculate, computational accuracy is high.By generating ground model and well drilling rail model with constraints, general target plane side is set up
Coordinate transformation relation between journey and target coordinate system and mouth coordinate system, with the target plane suitable for various well type, according to
Well drilling rail model and the image of process conversion calculate real-time drilling orientation and depth, and measurement result depends on actual drilling well
Track, measurement result is more accurate.
Brief description of the drawings
Fig. 1 is that the computer based image that this hair embodiment is provided calculates drilling depth control system architecture schematic diagram.
In figure：1st, acquisition terminal；2nd, the first power supply module；3rd, input module；4th, image capture controller；5th, ccd image
Sensor；6th, the first CCD camera；7th, the second CCD camera；8th, computer；9th, LAN；10th, the second power supply module；11、
Operation module；12nd, external memory；13rd, image co-registration module；14th, 3-D view modular converter；15th, data processing module；16、
IMAQ analysis module；17th, image processing module；18th, RAM memory；19th, mram memory；20th, database；21st, first
Display module；22nd, the second display module.
Embodiment
In order to further understand the content, features and effects of the present invention, hereby enumerating following examples, and coordinate accompanying drawing
Describe in detail as follows.
The structure to the present invention is explained in detail below in conjunction with the accompanying drawings.
Refer to Fig. 1：
Computer based image provided in an embodiment of the present invention calculates drilling depth control system, the computer based
Image calculates drilling depth control system and drilling depth control is realized by the following method：
Step 1: according to the analysis processing result of the geologic information of target reservoir, determining in target reservoir in net horizontal section
The estimation range of ground cytoplasmic mutation, when the drilling bit in the net horizontal section reaches estimation range, according to acquisition with brill ground
Matter data, determines the type of position and described ground cytoplasmic mutation of the described ground cytoplasmic mutation in the estimation range；
Step 2: ground model and well drilling rail model of the generation with constraints；
Step 3: the Coordinate Conversion set up between general target plane equation and target coordinate system and mouth coordinate system is closed
System, with the target plane suitable for various well type；
Step 4: trajectory parameters and well section length based on the shaft bottom point, predict rarget direction and check whether meet
Engine request, the rarget direction is included into target hole angle and azimuth；
Step 5: carrying out orbiting collision scanning, and obtain collision result；
Step 6: being drilled according to rarget direction and collision result, obtain drilling original image and original image adds
Enter the degraded image after ambient light background color, obtain the colourity difference of the original image and degraded image and utilize the colourity
Difference carries out chromatic compensation to be compensated rear image to the original image；
Step 7: being corrected acquisition correction data to view data after the compensation, correction data is carried out except processing of making an uproar
Obtain except data of making an uproar, data rearrangement is obtained to entering rearrangement except data of making an uproar, carrying out convolution to data rearrangement obtains convolved data；
Step 8: the deviational survey data based on last two measuring point of drilling trajectory, calculate the track characteristic parameter that section is surveyed at end, it is described
Deviational survey data are well depth, hole angle, azimuth, and the track characteristic parameter is used to characterize the last trajectory shape for surveying section；
Step 9: image after compensation is spliced with track characteristic parameter, for processing defined in multiple stitching images
One group of image, at least one composition in this group of image is alignd, by being cut out, adjusting to one or more image
Whole size converts a series of one or more images to produce process conversion in the image by alignment with rotation；
Step 10: using the wavelet threshold denoising function based on the corresponding multiple noise thresholds of multi-level Wavelet Transform coefficient, to institute
State multi-level Wavelet Transform coefficient and carry out denoising, utilize the corresponding figure by conversion of multi-level Wavelet Transform coefficient reconstruct after denoising
Picture；
Step 11: the image according to well drilling rail model and by conversion calculates real-time drilling orientation and depth.
Further, the step of determining every layer of wavelet coefficient corresponding noise threshold includes：
The corresponding noise threshold of every layer of wavelet coefficient is determined according to equation below：
Wherein, g is the sum of the wavelet coefficient of noisy image, and k is corresponding decomposition layer ordinal number, λkTo enter to noisy image
The noise threshold of kth layer after g layers of wavelet decomposition of row；
δk=median (| (Wpq)k|)/0.6745
(Wpq)kRepresent the level of kth layer after wavelet decomposition, vertically, diagonally adjacent high frequency coefficient.
Computer based image provided in an embodiment of the present invention calculate drilling depth control system include acquisition terminal 1,
Image capture controller 4 and computer 8, the input of the acquisition terminal 1 respectively with the first power supply module 2 and input module 3
Output end be electrically connected with；The input of described image acquisition controller 4 is electrically connected with the output end of ccd image sensor 5；
Output end of the input of the ccd image sensor 5 respectively with the first CCD camera 6 and the second CCD camera 7 electrically connects
Connect；The input of the computer 8 is connected by LAN 9 with the output end of acquisition terminal 1；The input of the computer 8
The output end with the second power supply module 10 and operation module 11 is electrically connected with respectively；The output end of the computer 8 respectively with outside
Memory 12, image co-registration module 13, the input of image conversion module 14 and data processing module 15 are electrically connected with；The meter
The output end of calculation machine 8 is electrically connected with by the input of IMAQ analysis module 16 and image processing module 17；It is described to calculate
Machine 8 is electrically connected with RAM memory 18, mram memory 19 and database 20 respectively.
Further, the output end of the acquisition terminal 1 and the input of the first display module 21 are electrically connected with.
Further, the output end of the computer 8 and the input of the second display module 22 are electrically connected with.
Further, the output end of the input of the input module 3 and image capture controller 4 is electrically connected with.
Operation principle：The computer based image calculates drilling depth control system, passes through the He of the first CCD camera 6
The inner case of second 7 pairs of CCD camera drilling carries out detection shooting, and shooting picture is sent to by ccd image sensor 5
Image is sent in acquisition terminal 1 by image capture controller 4, image capture controller 4 by input module 3, the first display
Module 21 shows shooting picture in real time, and the first power supply module 2 is that acquisition terminal 1 provides power supply, and acquisition terminal 1 passes through LAN 9
Send images in computer 8, the second power supply module 10 is that computer 8 provides power supply, and computer 8 utilizes image co-registration module
13 pictures for shooting the first CCD camera 6 and the second CCD camera 7 respectively are merged, and merge out the drilling of complete display
Intra pictures, are converted into 3D pictures, staff is by operating mould by 3-D view modular converter 14 by the picture after integration
Block 11 can be operated to 3D pictures, and 3D pictures are analyzed using IMAQ analysis module 16 and image processing module 17
Processing, recycles the final depth for drawing drilling of data processing module 15, and the second display module 22 shows workflow, profit in real time
With RAM memory 18, mram memory 19 and database 20, the data of drilling can be compared, sampled, stored and be inquired about,
So that the later stage uses；
By generating ground model and well drilling rail model with constraints, set up general target plane equation and
Coordinate transformation relation between target coordinate system and mouth coordinate system, with the target plane suitable for various well type, according to drilling well rail
Road model and the image of process conversion calculate real-time drilling orientation and depth, and measurement result depends on actual wellbore trace,
Measurement result is more accurate.
It is described above to be only the preferred embodiments of the present invention, any formal limitation not is made to the present invention,
Every technical spirit according to the present invention is belonged to any simple modification made for any of the above embodiments, equivalent variations and modification
In the range of technical solution of the present invention.
Claims (5)
1. a kind of computer based image calculates drilling depth control system, it is characterised in that the computer based image
Calculate drilling depth control system and drilling depth control is realized by the following method：
Step 1: according to the analysis processing result of the geologic information of target reservoir, geology in net horizontal section is determined in target reservoir
The estimation range of mutation, when the drilling bit in the net horizontal section reaches estimation range, is provided according to acquisition with geology is bored
Material, determines the type of position and described ground cytoplasmic mutation of the described ground cytoplasmic mutation in the estimation range；
Step 2: ground model and well drilling rail model of the generation with constraints；
Step 3: the coordinate transformation relation between general target plane equation and target coordinate system and mouth coordinate system is set up,
With the target plane suitable for various well type；
Step 4: trajectory parameters and well section length based on the shaft bottom point, predict rarget direction and check whether meet engineering
It is required that, the rarget direction is included into target hole angle and azimuth；
Step 5: carrying out orbiting collision scanning, and obtain collision result；
Step 6: being drilled according to rarget direction and collision result, obtain drilling original image and original image adds ring
Degraded image after the light background color of border, obtains the colourity difference of the original image and degraded image and utilizes the colourity difference
The original image is carried out chromatic compensation to be compensated rear image；
Step 7: being corrected acquisition correction data to view data after the compensation, correction data is carried out except processing of making an uproar is obtained
Except data of making an uproar, data rearrangement is obtained to entering rearrangement except data of making an uproar, carrying out convolution to data rearrangement obtains convolved data；
Step 8: the deviational survey data based on last two measuring point of drilling trajectory, calculate the track characteristic parameter that section is surveyed at end, the deviational survey
Data are well depth, hole angle, azimuth, and the track characteristic parameter is used to characterize the last trajectory shape for surveying section；
Step 9: image after compensation is spliced with track characteristic parameter, for the one of processing defined in multiple stitching images
Group image, makes at least one composition in this group of image align, big by being cut out, adjusting to one or more image
It is small and rotation come convert in the image by alignment it is one or more with produce it is a series of by conversion images；
Step 10: using the wavelet threshold denoising function based on the corresponding multiple noise thresholds of multi-level Wavelet Transform coefficient, to described many
Layer wavelet coefficient carries out denoising, utilizes the corresponding image by conversion of multi-level Wavelet Transform coefficient reconstruct after denoising；
Step 11: the image according to well drilling rail model and by conversion calculates real-time drilling orientation and depth.
2. computer based image as claimed in claim 1 calculates drilling depth control system, it is characterised in that determine every layer
The step of wavelet coefficient corresponding noise threshold, includes：
The corresponding noise threshold of every layer of wavelet coefficient is determined according to equation below：
<mrow>
<msub>
<mi>&lambda;</mi>
<mi>k</mi>
</msub>
<mo>=</mo>
<msub>
<mi>&delta;</mi>
<mi>k</mi>
</msub>
<msqrt>
<mrow>
<mn>2</mn>
<mi>l</mi>
<mi>n</mi>
<mrow>
<mo>(</mo>
<mi>g</mi>
<mo>)</mo>
</mrow>
</mrow>
</msqrt>
<mo>/</mo>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>+</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, g is the sum of the wavelet coefficient of noisy image, and k is corresponding decomposition layer ordinal number, λkTo carry out g layers to noisy image
The noise threshold of kth layer after wavelet decomposition；
δk=median (| (wpq)k|)/0.6745
(wpq)kRepresent the level of kth layer after wavelet decomposition, vertically, diagonally adjacent high frequency coefficient.
3. a kind of computer based image calculates drilling depth control system, including acquisition terminal, image capture controller and
Computer, it is characterised in that the output end electricity of the input of the acquisition terminal respectively with the first power supply module and input module
Property connection；
The input of described image acquisition controller and the output end of ccd image sensor are electrically connected with；The ccd image sensing
The input of device is electrically connected with the output end of the first CCD camera and the second CCD camera respectively；
The input of the computer is connected by the output end of LAN and acquisition terminal；
The input of the computer is electrically connected with the output end of the second power supply module and operation module respectively；
The output end of the computer respectively with external memory, image co-registration module, image conversion module and data processing module
Input be electrically connected with；
The output end of the computer is electrically connected with by the input of IMAQ analysis module and image processing module；
The computer is electrically connected with RAM memory, mram memory and database respectively.
4. computer based image as claimed in claim 3 calculates drilling depth control system, it is characterised in that described to adopt
Collect the output end of terminal to be electrically connected with the input of the first display module, the output end of the computer and the second display module
Input be electrically connected with.
5. computer based image as claimed in claim 3 calculates drilling depth control system, it is characterised in that described defeated
The output end of the input and image capture controller that enter module is electrically connected with.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710120623.6A CN107066690A (en) | 2017-03-02 | 2017-03-02 | A kind of computer based image calculates drilling depth control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710120623.6A CN107066690A (en) | 2017-03-02 | 2017-03-02 | A kind of computer based image calculates drilling depth control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107066690A true CN107066690A (en) | 2017-08-18 |
Family
ID=59622848
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710120623.6A Pending CN107066690A (en) | 2017-03-02 | 2017-03-02 | A kind of computer based image calculates drilling depth control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107066690A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108515262A (en) * | 2018-05-03 | 2018-09-11 | 广东水利电力职业技术学院（广东省水利电力技工学校） | A kind of new pattern laser engraving unit control system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013169256A1 (en) * | 2012-05-10 | 2013-11-14 | Bp Corporation North America Inc. | Prediction and diagnosis of lost circulation in wells |
| US20130299241A1 (en) * | 2012-05-10 | 2013-11-14 | Bp Exploration Operating Company Limited | Prediction and diagnosis of lost circulation in wells |
| CN103711484A (en) * | 2014-01-14 | 2014-04-09 | 四川大学 | Borehole imaging device |
| CN103971387A (en) * | 2013-01-29 | 2014-08-06 | 上海联影医疗科技有限公司 | Method for reconstructing CT image |
| CN104715461A (en) * | 2015-04-02 | 2015-06-17 | 哈尔滨理工大学 | Image noise reduction method |
| CN105096910A (en) * | 2015-07-09 | 2015-11-25 | 西安诺瓦电子科技有限公司 | Image processing method |
| CN105931219A (en) * | 2016-04-13 | 2016-09-07 | 山东正元地球物理信息技术有限公司 | Method for calculating depth of borehole based on borehole television images |
| CN106169004A (en) * | 2016-07-15 | 2016-11-30 | 西南石油大学 | A kind of anti-collision well system automatically |
-
2017
- 2017-03-02 CN CN201710120623.6A patent/CN107066690A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013169256A1 (en) * | 2012-05-10 | 2013-11-14 | Bp Corporation North America Inc. | Prediction and diagnosis of lost circulation in wells |
| US20130299241A1 (en) * | 2012-05-10 | 2013-11-14 | Bp Exploration Operating Company Limited | Prediction and diagnosis of lost circulation in wells |
| CN103971387A (en) * | 2013-01-29 | 2014-08-06 | 上海联影医疗科技有限公司 | Method for reconstructing CT image |
| CN103711484A (en) * | 2014-01-14 | 2014-04-09 | 四川大学 | Borehole imaging device |
| CN104715461A (en) * | 2015-04-02 | 2015-06-17 | 哈尔滨理工大学 | Image noise reduction method |
| CN105096910A (en) * | 2015-07-09 | 2015-11-25 | 西安诺瓦电子科技有限公司 | Image processing method |
| CN105931219A (en) * | 2016-04-13 | 2016-09-07 | 山东正元地球物理信息技术有限公司 | Method for calculating depth of borehole based on borehole television images |
| CN106169004A (en) * | 2016-07-15 | 2016-11-30 | 西南石油大学 | A kind of anti-collision well system automatically |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108515262A (en) * | 2018-05-03 | 2018-09-11 | 广东水利电力职业技术学院（广东省水利电力技工学校） | A kind of new pattern laser engraving unit control system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10795051B2 (en) | Three-dimensional digital virtual imaging device and method for stratigraphic texture of borehole core | |
| CN102389361B (en) | Blindman outdoor support system based on computer vision | |
| CN102693542B (en) | Image characteristic matching method | |
| CN111798386B (en) | River channel flow velocity measurement method based on edge identification and maximum sequence density estimation | |
| CN104574393B (en) | A kind of three-dimensional pavement crack pattern picture generates system and method | |
| CN111476767B (en) | High-speed rail fastener defect identification method based on heterogeneous image fusion | |
| CN206177238U (en) | Vehicle gabarit size detection appearance | |
| CN106679567A (en) | Contact net and strut geometric parameter detecting measuring system based on binocular stereoscopic vision | |
| CN104268935A (en) | Feature-based airborne laser point cloud and image data fusion system and method | |
| CN104005325A (en) | Pavement crack detecting device and method based on depth and gray level images | |
| CN104569972B (en) | Plant root system three-dimensional configuration nondestructive testing method | |
| CN107424140A (en) | One kind is based on panorama remote viewing imaging and drilling track Measurement and Control System | |
| CN103438834A (en) | Hierarchy-type rapid three-dimensional measuring device and method based on structured light projection | |
| CN110440766A (en) | A kind of water-bearing layer hydrogeological parameter measuring device and method | |
| WO2024083262A1 (en) | Space-sky-ground-tunnel-hole integrated unfavorable geology identification method and system | |
| CN114966696A (en) | Transformer-based cross-modal fusion target detection method | |
| CN106767421B (en) | Motor-car vehicle body critical size detection system solution based on multi-vision visual | |
| CN203203587U (en) | Real-point real-time gradient measuring device based on laser ranging | |
| CN113219157B (en) | Landslide physical model force and displacement information monitoring system and method | |
| CN107066690A (en) | A kind of computer based image calculates drilling depth control system | |
| CN114926418A (en) | Non-contact measurement method for tension of guyed tower guyed wire of ultra-high voltage transmission line | |
| CN105155504B (en) | The lateral seismic transmission nondestructive detection system of railway bed and detection method | |
| CN107369179A (en) | A kind of high precision image localization method | |
| CN104266594B (en) | Thickness compensation method for block frozen shrimp net content detection based on different visual technologies | |
| CN115791803A (en) | Deep-buried tunnel surrounding rock blasting damage test system and test method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170818 |
|
| RJ01 | Rejection of invention patent application after publication |