CN110400252A - Stock ground contour digitazation method and system - Google Patents
Stock ground contour digitazation method and system Download PDFInfo
- Publication number
- CN110400252A CN110400252A CN201910576174.5A CN201910576174A CN110400252A CN 110400252 A CN110400252 A CN 110400252A CN 201910576174 A CN201910576174 A CN 201910576174A CN 110400252 A CN110400252 A CN 110400252A
- Authority
- CN
- China
- Prior art keywords
- point cloud
- template
- stock ground
- data
- contour
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 59
- 230000009467 reduction Effects 0.000 claims abstract description 27
- 230000008859 change Effects 0.000 claims abstract description 11
- 230000002146 bilateral effect Effects 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 230000008439 repair process Effects 0.000 abstract description 3
- 239000003245 coal Substances 0.000 description 6
- 230000000007 visual effect Effects 0.000 description 6
- 230000001174 ascending effect Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013499 data model Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- FGIUAXJPYTZDNR-UHFFFAOYSA-N potassium nitrate Chemical compound [K+].[O-][N+]([O-])=O FGIUAXJPYTZDNR-UHFFFAOYSA-N 0.000 description 2
- 229910052717 sulfur Inorganic materials 0.000 description 2
- 239000011593 sulfur Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 239000005864 Sulphur Substances 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000005339 levitation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- 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
- G06T3/06—Topological mapping of higher dimensional structures onto lower dimensional surfaces
- G06T3/067—Reshaping or unfolding 3D tree structures onto 2D planes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Processing Or Creating Images (AREA)
Abstract
Stock ground contour digitazation method and system, belong to technical field of data processing.Steps are as follows by the present invention: obtaining stock ground three dimensional point cloud；Blank spot cloud template is generated according to stock ground boundary；After three dimensional point cloud dimensionality reduction, the data after dimensionality reduction are plotted in the blank spot cloud template, generate point cloud data template；Judge to repair white space with the presence or absence of white space in point cloud data template, then uses blur method smoothed data point cloud template；After the completion of repairing, schemed according to point cloud data template generation contour bool；The color of change data point cloud template adds the external data for describing stock ground information by the point cloud data template after contour bool map combining to conversioning colour, and to point cloud data template, generates contour two dimension stock ground figure.Three complicated bit models using dimensionality reduction mode are converted to simple two dimensional model operator by the present invention, and to operate simple and convenient intuitive.
Description
Technical field
The present invention relates to stock ground contour digitazation method and system, belong to technical field of data processing.
Background technique
In current generation, digital chemical industry is being greatly developed in heavy industry industry, and by scanner GPS, the means such as UWB will be acquired
To 3 dimension datas for being provided clearly for operator, safe work planning, is also pipe in industrial operations and industrial management
Reason person provides accurate management data.The use of three-dimensional data has the problems such as multiple visual angles, operational depth, in actual operation
In production process, not only there is certain 3d operating technology needs to operator, but also because the problem of visual angle also result in pair
Field operation region because selected depth the caused maloperation of exception or select mistake region, selection each time thus
Multiple visual angles are required to confirm the situation of live reality.And cause threedimensional model excessive because working region is excessive, it is excessive
Threedimensional model operation will occupy a large amount of hardware resource, and easily occur Caton phenomena such as, for operator and very
The operating experience of difference.
So there are complexity in 3d model display operation for conventional method, easily make mistakes, scene shows not ocular and clear, mould
The problem of type operation display consumption vast resources.Relationship description in 3 dimension point cloud models between points is complicated, calculation amount
Greatly.Modeling is used to need that a large amount of space is used to calculate as scientific algorithm.And the raw information of each point institute's band is excessively single
One.Coupling between point is strong, and single point modification can all close the position for influencing whether all three sites after composition model
System's description.And complexity is shown when the data of other dimensions are added, operator is required high.
Summary of the invention
Technical problem solved by the present invention is having overcome the deficiencies of the prior art and provide stock ground contour digitazation method
And system, by the way that 3d digital model dimensionality reduction at pseudo- color contour map piece, is shown in task publication software.The present invention exists
The top view for stock ground is fixed on visual angle, and the actual suddenly slow landform in scene is determined by the density of pseudo- color and contour
Tendency.Color clearly allows the operator to intuitively find out on-site actual situations on figure, also reduces operator couple
In the requirement of professional operation.Pseudo- color line graph of ascending a height intuitively can be that operator identifies each landform by pattern analysis
Height profile and object volume.Worst error is in 0.1m.However to hardware resource and show that the consumption of operation also obtains
To being significantly reduced.Save relevant cost.In the actual operation process because of the original without multi-angle of view and depth
Cause can be avoided the problem that effectively in selection region because model visual angle leads to the wrong choice occurred on selected depth.
It ensure that the reliability of user's operation.
The technical solution of the invention is as follows: stock ground contour digitazation method includes the following steps:
Obtain stock ground three dimensional point cloud；
Blank spot cloud template is generated according to stock ground boundary；
After three dimensional point cloud dimensionality reduction, the data after dimensionality reduction are plotted in the blank spot cloud template, generate data
Point cloud template；
Judge in point cloud data template with the presence or absence of white space；If it exists, then white space is repaired, is then adopted
With blur method smoothed data point cloud template；If it does not exist, using blur method smoothed data point cloud template；After the completion of repairing,
Schemed according to point cloud data template generation contour bool；
The color of change data point cloud template, by the point cloud data template after contour bool map combining to conversioning colour
On, and the external data for describing stock ground information is added to point cloud data template, generate contour two dimension stock ground figure.
Further, the point cloud data template is grayscale image.
Further, to the method for three dimensional point cloud dimensionality reduction are as follows: LDA dimension reduction method.
Further, method white space repaired are as follows:
White space is identified, the rectangular area of white space is marked out according to the maximum boundary of white space；
Region-of-interest is set by rectangular area, image mending is carried out to region-of-interest, completes repairing.
Further, the method for described image repairing is the image mending algorithm based on PDE, the image based on PDE
Vector direction in patch algorithm is diagonal.
Further, judge the method in point cloud data template with the presence or absence of white space for graph outline algorithm.
Further, the blur method is first bilateral fuzzy to the boundary progress of point cloud data template, then to data point
Region within the boundary of cloud template carries out Gaussian Blur.
Further, the method for the color of change data point cloud template is pseudo- color JET template color method.
Further, the external data includes stock ground material heap mark, stock ground model trajectory and stock ground device model.
It is a kind of realize described in stock ground contour digitazation method system, including
First module obtains stock ground three dimensional point cloud；
Second module generates blank spot cloud template according to stock ground boundary；
Data after dimensionality reduction are plotted in the blank spot cloud template by third module after three dimensional point cloud dimensionality reduction,
Generate point cloud data template；
4th module judges in point cloud data template with the presence or absence of white space；If it exists, then white space is repaired
It mends, then uses blur method smoothed data point cloud template；If it does not exist, using blur method smoothed data point cloud template；It repairs
After the completion of benefit, schemed according to point cloud data template generation contour bool；
5th module, the color of change data point cloud template, by the data after contour bool map combining to conversioning colour
In point cloud template, and the external data for describing stock ground information is added to point cloud data template, generates contour two dimension stock ground
Figure.
The advantages of the present invention over the prior art are that:
(1) three complicated bit models are converted to simple two dimensional model operator using dimensionality reduction mode and operate letter by the present invention
It is easily convenient intuitive.
(2) present invention is shown by two bit model modes, and logical relation is clear between each 2 dimension point, change each time
The positional relationship calculation amount of overall model, which is significantly less than 3, reduces consumption to hardware resource for model；
(3) present invention identifies profile by the algorithm of gray level model and effectively quickly calculates line of ascending a height for operator
The volume data position data of operating area in model；
(4) present invention is closed by the steep unwinding position that the drafting for line of ascending a height can intuitively show each position for operator
System facilitates operator to make accurate analysis to on-site actual situations.
Detailed description of the invention
Fig. 1 is the two-dimentional contour line model schematic diagram of the present invention；
Fig. 2 is that present invention two dimension shows model schematic.
Specific embodiment
Stock ground contour digitazation method, includes the following steps:
Obtain stock ground three dimensional point cloud；
Blank spot cloud template is generated according to stock ground boundary；
After three dimensional point cloud dimensionality reduction, the data after dimensionality reduction are plotted in the blank spot cloud template, generate data
Point cloud template；
Judge in point cloud data template with the presence or absence of white space；If it exists, then white space is repaired, is then adopted
With blur method smoothed data point cloud template；If it does not exist, using blur method smoothed data point cloud template；After the completion of repairing,
Schemed according to point cloud data template generation contour bool；
The color of change data point cloud template, by the point cloud data template after contour bool map combining to conversioning colour
On, and the external data for describing stock ground information is added to point cloud data template, generate contour two dimension stock ground figure.
The point cloud data template is grayscale image.
To the method for three dimensional point cloud dimensionality reduction are as follows: LDA dimension reduction method.
The method that white space is repaired are as follows:
White space is identified, the rectangular area of white space is marked out according to the maximum boundary of white space；
Region-of-interest is set by rectangular area, image mending is carried out to region-of-interest, completes repairing.
The method of described image repairing is the image mending algorithm based on PDE, in the image mending algorithm based on PDE
Vector direction be diagonal.
Judge the method in point cloud data template with the presence or absence of white space for graph outline algorithm.
The blur method is first bilateral fuzzy to the boundary progress of point cloud data template, then to the side of point cloud data template
Region within boundary carries out Gaussian Blur.
The method of the color of change data point cloud template is pseudo- color JET template color method.
The external data includes stock ground material heap mark, stock ground model trajectory and stock ground device model.
The system for realizing stock ground contour digitazation method, including
First module obtains stock ground three dimensional point cloud；
Second module generates blank spot cloud template according to stock ground boundary；
Data after dimensionality reduction are plotted in the blank spot cloud template by third module after three dimensional point cloud dimensionality reduction,
Generate point cloud data template；
4th module judges in point cloud data template with the presence or absence of white space；If it exists, then white space is repaired
It mends, then uses blur method smoothed data point cloud template；If it does not exist, using blur method smoothed data point cloud template；It repairs
After the completion of benefit, schemed according to point cloud data template generation contour bool；
5th module, the color of change data point cloud template, by the data after contour bool map combining to conversioning colour
In point cloud template, and the external data for describing stock ground information is added to point cloud data template, generates contour two dimension stock ground
Figure.
Specifically, the present invention includes three-dimensional data model dimensionality reduction into two dimensional gray model, and two dimension is colour model, outside letter
Breath is abundant, and human-computer interaction is shown.Threedimensional model dimensionality reduction is by the way that three dimensional point cloud is converted at 2 points at two dimensional gray model
Gray value information come the dimensionality reduction operation realized, operated by dimensionality reduction and the threedimensional model of multi-angle of view be converted into the two of single visual angle
Tie up gray level model.By two dimensional gray model by showing signs of anger for color, the two dimensional model of pseudo- color is generated.It realizes gray level model and is
Point on colour model corresponds.By the way that the outline identification on gray level model, boolean's (bool) algorithm is recorded, and will record
Data be plotted on chromaticity diagram generate contour and be model.It adds in external interface on the color model of contour two dimension to mould
In type in each profile the description of data and draw its label record, on the two dimension contour line model operate mouse levitation position lead to
The location information that scale bar is converted into gray level model is crossed, and can be directly changed into user can be with the three-dimensional position of Direct Recognition
Information data (east orientation coordinate, north orientation coordinate, altitude coordinates.).Mouse aiming circle selection operation is directly changed into also by scale bar
Location information on gray level model can refer to that information is analyzed to the location information in selection region on gray level model.
The pixel of ascend a height line model and gray level model described above is one-to-one.Gray level model is as line of ascending a height
The data source of model.Such mode is exactly that the observation of the suitable mankind of display diagram as far as possible uses, and data model is then in memory
It is supported to show that model provides data.
The two dimensional model data that original three dimensional point cloud is converted to, after the conversion was complete mend initial data
Point processing, will be uneven because of point missing caused by the reasons such as scanning range, pass through median operation, opening operation, Gauss operation is rectified
Just because of environment, abnormal point caused by the reasons such as equipment, to form complete smooth gray level model.Gray level model is by stepping on
High wire matrix, boundary profile operation record corresponding points information, and the mould such as Fig. 1 is generated again by the drafting to grayscale image puppet color
Type.By the access to external interface data, increase the graduated scale mark on figure three, device location relationship is drawn, in model
The information of outline identification.These information are plotted in the model data that Fig. 2 is generated on Fig. 1.And because Fig. 2 and grayscale image are an a pair
The positional relationship answered, so being easy to calculate the volume information of data in each profile.And externally make output.
Embodiment
250,000 3 kiloton of coal coexists in live actual use situation, the whole audience.It is divided into 12 kinds of coals quality complete every and is divided into 12 ID marks
The storage difference for knowing every kind of coal quality stores boundary also difference
The practical storage configuration of No.1 coal yard.
No. 1 coal, calorific value is 3200, the high nitre of bottom sulphur, and 12 meters of feed height, storage is that 0.6 ten thousand tons of storage positions are 145 meters and arrive
It is 1 that, which identifies ID, in 160 meters of spaces.
No. 2 coals, sulfur content is exceeded, and 2.1 ten thousand tons of storage, calorific value 4100,16.2 meters of feed height, parking space is arrived 90
140, ID are identified as 2.
No. 3 coals, fat coal, the low nitre of 4900 low-sulfur of calorific value, feed height are 14.3 meters, and 3.3 ten thousand tons of storage, parking space exists
3 to 90 meters, ID is identified as 3.
Intuitive displaying of the user for coal quality information is also enhanced in actual use.Reduce the complexity of user's operation
Property.
The content that description in the present invention is not described in detail belongs to the well-known technique of those skilled in the art.
Claims (10)
1. stock ground contour digitazation method, which comprises the steps of:
Obtain stock ground three dimensional point cloud；
Blank spot cloud template is generated according to stock ground boundary；
After three dimensional point cloud dimensionality reduction, the data after dimensionality reduction are plotted in the blank spot cloud template, generate point cloud data
Template；
Judge in point cloud data template with the presence or absence of white space；If it exists, then white space is repaired, then uses mould
Formulating method smoothed data point cloud template；If it does not exist, using blur method smoothed data point cloud template；After the completion of repairing, according to
Point cloud data template generation contour bool figure；
The color of change data point cloud template, by the point cloud data template after contour bool map combining to conversioning colour, and
The external data for describing stock ground information is added to point cloud data template, generates contour two dimension stock ground figure.
2. contour digitazation method in stock ground according to claim 1, it is characterised in that: the point cloud data template is ash
Degree figure.
3. contour digitazation method in stock ground according to claim 1, it is characterised in that: to three dimensional point cloud dimensionality reduction
Method are as follows: LDA dimension reduction method.
4. contour digitazation method in stock ground according to claim 1, it is characterised in that: repaired to white space
Method are as follows:
White space is identified, the rectangular area of white space is marked out according to the maximum boundary of white space；
Region-of-interest is set by rectangular area, image mending is carried out to region-of-interest, completes repairing.
5. contour digitazation method in stock ground according to claim 1, it is characterised in that: described image repairing method be
Image mending algorithm based on PDE, the vector direction in the image mending algorithm based on PDE is diagonal.
6. contour digitazation method in stock ground according to claim 1, it is characterised in that: judge be in point cloud data template
It is no there are the method for white space be graph outline algorithm.
7. contour digitazation method in stock ground according to claim 1, it is characterised in that: the blur method is first logarithm
The boundary progress of strong point cloud template is bilateral fuzzy, then carries out Gaussian Blur to the region within the boundary of point cloud data template.
8. contour digitazation method in stock ground according to claim 1, it is characterised in that: the color of change data point cloud template
Color method is pseudo- color JET template color method.
9. contour digitazation method in stock ground according to claim 1, it is characterised in that: the external data includes stock ground
Material heap mark, stock ground model trajectory and stock ground device model.
10. a kind of system for realizing contour digitazation method in stock ground described in claim 1, it is characterised in that: including
First module obtains stock ground three dimensional point cloud；
Second module generates blank spot cloud template according to stock ground boundary；
Data after dimensionality reduction are plotted in the blank spot cloud template by third module after three dimensional point cloud dimensionality reduction, are generated
Point cloud data template；
4th module judges in point cloud data template with the presence or absence of white space；If it exists, then white space is repaired,
Then blur method smoothed data point cloud template is used；If it does not exist, using blur method smoothed data point cloud template；It has repaired
Cheng Hou schemes according to point cloud data template generation contour bool；
5th module, the color of change data point cloud template, by the point cloud data after contour bool map combining to conversioning colour
In template, and the external data for describing stock ground information is added to point cloud data template, generates contour two dimension stock ground figure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910576174.5A CN110400252B (en) | 2019-06-28 | 2019-06-28 | Material yard contour line digitalization method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910576174.5A CN110400252B (en) | 2019-06-28 | 2019-06-28 | Material yard contour line digitalization method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110400252A true CN110400252A (en) | 2019-11-01 |
| CN110400252B CN110400252B (en) | 2022-09-06 |
Family
ID=68323907
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910576174.5A Active CN110400252B (en) | 2019-06-28 | 2019-06-28 | Material yard contour line digitalization method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110400252B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113658339A (en) * | 2021-10-19 | 2021-11-16 | 长江水利委员会长江科学院 | Contour line-based three-dimensional entity generation method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1711568A (en) * | 2002-11-05 | 2005-12-21 | 亚洲航测株式会社 | Visualizing system, visualizing method, and visualization processing program |
| CN104794753A (en) * | 2015-04-29 | 2015-07-22 | 武汉大学 | Earth rock cofferdam breach flood risk mapping method |
| CN107730585A (en) * | 2017-11-06 | 2018-02-23 | 济南市市政工程设计研究院（集团）有限责任公司 | A kind of landform threedimensional model generation method and system |
| CN108470139A (en) * | 2018-01-25 | 2018-08-31 | 天津大学 | A kind of small sample radar image human action sorting technique based on data enhancing |
| CN109242809A (en) * | 2018-10-31 | 2019-01-18 | 安徽中科智链信息科技有限公司 | A kind of point cloud filtering system and filtering method based on RGB-D information |
| US20190026938A1 (en) * | 2017-07-18 | 2019-01-24 | Fuscoe Engineering, Inc. | Three-dimensional modeling from optical capture |
-
2019
- 2019-06-28 CN CN201910576174.5A patent/CN110400252B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1711568A (en) * | 2002-11-05 | 2005-12-21 | 亚洲航测株式会社 | Visualizing system, visualizing method, and visualization processing program |
| CN104794753A (en) * | 2015-04-29 | 2015-07-22 | 武汉大学 | Earth rock cofferdam breach flood risk mapping method |
| US20190026938A1 (en) * | 2017-07-18 | 2019-01-24 | Fuscoe Engineering, Inc. | Three-dimensional modeling from optical capture |
| CN107730585A (en) * | 2017-11-06 | 2018-02-23 | 济南市市政工程设计研究院（集团）有限责任公司 | A kind of landform threedimensional model generation method and system |
| CN108470139A (en) * | 2018-01-25 | 2018-08-31 | 天津大学 | A kind of small sample radar image human action sorting technique based on data enhancing |
| CN109242809A (en) * | 2018-10-31 | 2019-01-18 | 安徽中科智链信息科技有限公司 | A kind of point cloud filtering system and filtering method based on RGB-D information |
Non-Patent Citations (2)
| Title |
|---|
| CDP陈东强: "如何用MATLAB画山地三维曲面图、山地等高线图", 《HTTPS://JINGYAN.BAIDU.COM/ARTICLE/C85B7A6466DFBC003BAC95E0.HTML》, 1 February 2015 (2015-02-01), pages 1 - 4 * |
| 张岁兴: "基于视觉和振动信息融合的地面类型在线辨识方法研究", 《中国优秀博硕士学位论文全文数据库(硕士) 信息科技辑 》, no. 3, 15 March 2014 (2014-03-15), pages 140 - 353 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113658339A (en) * | 2021-10-19 | 2021-11-16 | 长江水利委员会长江科学院 | Contour line-based three-dimensional entity generation method and device |
| CN113658339B (en) * | 2021-10-19 | 2022-01-21 | 长江水利委员会长江科学院 | Contour line-based three-dimensional entity generation method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110400252B (en) | 2022-09-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Liu et al. | Autoshape: Real-time shape-aware monocular 3d object detection | |
| CN107093210B (en) | Laser point cloud labeling method and device | |
| CN101358836B (en) | Method for recognizing weld spot central position based on computer vision | |
| CN110176078B (en) | Method and device for labeling training set data | |
| CN110136273B (en) | Sample data labeling method and device used in machine learning | |
| CN113360583A (en) | Construction progress visualization method based on BIM model and monitoring image comparison | |
| AU2020103716A4 (en) | Training method and device of automatic identification device of pointer instrument with numbers in natural scene | |
| CN104933387A (en) | Rapid positioning and identifying method based on two-dimensional code decoding | |
| CN107479504B (en) | A kind of method of numerical control processing Automatic feature recognition and path planning | |
| CN106737665A (en) | The mechanical arm control system and implementation method matched based on binocular vision and SIFT feature | |
| CN102693334B (en) | Based on the dynamic component recognition methods of CAD electronic drawing | |
| CN101968895A (en) | Two-dimensional image conversion system and method | |
| CN110688687B (en) | Method for batch generation of reclaimed resource survey maps for urban and rural construction land | |
| CN109035401A (en) | City three-dimensional scenic automatic modeling system based on inclined camera photography | |
| CN109359208B (en) | Distributed method and system for accurately and losslessly labeling image instances | |
| CN113989944A (en) | Operation action recognition method, device and storage medium | |
| CN110400252A (en) | Stock ground contour digitazation method and system | |
| CN115510519A (en) | Lane lamp planning method, device, equipment and storage medium | |
| CN111414907A (en) | Data set labeling method, data set labeling device and computer-readable storage medium | |
| CN112686872B (en) | Wood counting method based on deep learning | |
| CN108898679A (en) | A kind of method of component serial number automatic marking | |
| CN112948605B (en) | Point cloud data labeling method, device, equipment and readable storage medium | |
| CN110334818B (en) | Method and system for automatically identifying pipeline | |
| CN107240150B (en) | Three-dimensional pipeline digital drawing method | |
| CN103049626A (en) | Planning construction land balance sheet manufacturing method based on raster images |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220330 Address after: 102208 902, unit 1, building 1, yard 1, Longyu middle street, Huilongguan town, Changping District, Beijing Applicant after: SAMSINO (BEIJING) AUTOMATION ENGINEERING TECHNOLOGY Co.,Ltd. Address before: 561503 Qingshan Town Industrial Park, Pu'an County, Guizhou Province Applicant before: Dong Li Applicant before: Bian Guyue Applicant before: Li Qiang |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20221214 Address after: 102208 902, unit 1, building 1, yard 1, Longyu middle street, Huilongguan town, Changping District, Beijing Patentee after: SAMSINO (BEIJING) AUTOMATION ENGINEERING TECHNOLOGY Co.,Ltd. Patentee after: China Power (Pu'an) Power Generation Co.,Ltd. Address before: 102208 902, unit 1, building 1, yard 1, Longyu middle street, Huilongguan town, Changping District, Beijing Patentee before: SAMSINO (BEIJING) AUTOMATION ENGINEERING TECHNOLOGY Co.,Ltd. |