CN103049584A - Method for visualizing data field corresponding to coordinate system - Google Patents
Method for visualizing data field corresponding to coordinate system Download PDFInfo
- Publication number
- CN103049584A CN103049584A CN2013100071549A CN201310007154A CN103049584A CN 103049584 A CN103049584 A CN 103049584A CN 2013100071549 A CN2013100071549 A CN 2013100071549A CN 201310007154 A CN201310007154 A CN 201310007154A CN 103049584 A CN103049584 A CN 103049584A
- Authority
- CN
- China
- Prior art keywords
- value
- data
- visualizing
- color
- respective coordinates
- 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
Images
Abstract
The invention discloses a method for visualizing data field corresponding to the coordinate system and utilizes data acquirers in stereoscopic matrix arrangement. The method includes steps of (1) indicating data values of different points by different color; (2) setting the position of each data acquirer as an acquisition point, collecting position information and data values of each data acquirer in a stereoscopic space to establish a stereoscopic coordinate system, and indicating the data value of each point by different color; and (3), calculating the data values corresponding to the coordinates among the acquisition points according to the position information the data values of the acquisition points and indicating the data value of each point by different color, wherein the higher the data values are, the higher the color temperature of the color of the data values is, and the lower the data values are, the lower the color temperature of the color of the data values is. By the aid of the method for visualizing the data field corresponding to the coordinate system, the data values of the integral stereoscopic coordinate system can be acquired integrally, and by means of vivid color, an observer can quickly observe whether points with data values exceeding reasonable range exist or not and acquires distribution conditions of the acquisition points.
Description
Technical field
The present invention relates to the data visualization field, particularly the data fields method for visualizing of a kind of respective coordinates system.
Background technology
[0002] visual (Visualization) utilizes computer graphics and image processing techniques, becomes figure or image to show at screen data-switching, and carries out theory, method and the technology of interaction process.It relates to a plurality of fields such as computer graphics, image processing, computer vision, computer-aided design (CAD), becomes the complex art of the series of problems such as data represents, data processing, decision analysis.At present the virtual reality technology of degree of flying development also is that visualization technique take graph image is as relying on.
Visualization technique applies in the computer science the earliest, and has formed an important branch of visualization technique---visualization in scientific computing (Visualizationin Scientific Computing).Visualization in scientific computing can be science data, comprise numerical value, the image that measure to obtain or calculate in the numerical information that relates to, produce become intuitively, represent with Figure and Image, be presented in face of the researcher with the physical phenomenon of spatial variations or physical quantity in time, make them can observe, simulate and calculate.
Recent years computer graphics development so that the three-dimensional representation technology formed, these three-dimensional representation technology make us can reproduce object in the three-dimensional world, can represent complicated information by enough three-dimensional bodies, this technology is exactly visual (Visualization) technology.Visualization technique can directly operate the people to the information with body in the three-dimensional picture world, directly exchange with computing machine.This technology is unified the mode of the strength of people and machine nature with a kind of intuition, and this revolutionary variation will greatly improve people's work efficiency undoubtedly.Visualization technique is given ability a kind of emulation of people, three-dimensional and that have real-time, interactive, like this people can be in the three-dimensional picture world with before inconceivable means come obtaining information or bring into play oneself creationary thinking.The mechanical engineer can be liberated from 2 d plane picture directly enters three-dimensional world, thereby obtains very soon self-designed three-dimensional machinery part model.The doctor can be from patient's 3-D scanning image analysis patient's focus.The military commander can in the face of the battlefield terrain that generates with three dimensional graphics, command realistic three-dimensional aircraft, warship, tank to drive and analyze the effect of fight scheme into to target.
Especially be applied in the environmental data monitoring field of machine room, the field visualized environmental data that can allow the user more directly understand machine room of three-dimensional data is made a response rapidly.
And prior art mainly is by showing the data value time history plot of single-point.
Can't the data value of having a few in the plane be represented in real time and visually to the observer, can not allow the observer that the data value situation in the whole three-dimensional coordinate system is had whole understanding, can not find out data value height relative between the each point at a glance, can't allow the observer look into rapidly and see if there is the point that data value surpasses zone of reasonableness, and the distribution situation of these points
In view of this, those skilled in the art are for the problems referred to above, and the data fields method for visualizing of a kind of respective coordinates system is provided.
Summary of the invention
The invention provides the data fields method for visualizing that a kind of respective coordinates is, overcome the difficulty of prior art, whole understanding can be arranged the data value situation in the whole three-dimensional coordinate system, can find out data value height relative between the each point at a glance, by using obvious color (such as redness), can allow the observer look into rapidly and see if there is the point that data value surpasses zone of reasonableness, and the distribution situation of these points.
The present invention adopts following technical scheme:
The invention provides the data fields method for visualizing that a kind of respective coordinates is, the data acquisition unit that adopts stereoscopic matrix to arrange may further comprise the steps:
(1) set the data value that represents difference with different colours, data value is higher, represents that the colour temperature of color of this data value is higher; Data value is lower, represents that the colour temperature of color of this data value is lower;
The position of (2) establishing each data acquisition unit is the collection point, collects positional information and the data value of each data acquisition unit in the solid space, sets up three-dimensional coordinate system, adopts different colours to represent the data value of each point; And
(3) according to positional information and the data value of collection point, calculate data value corresponding to coordinate between the collection point, adopt different colours to represent the data value of each point.
2, the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described step may further comprise the steps in (1): set the isotherm color, the point in same data value range is represented with same color.
3, the data fields method for visualizing of respective coordinates as claimed in claim 2 system, it is characterized in that: described step may further comprise the steps in (3):
(1) establishes on the matrix coordinate that eight angles are respectively A, B, C, D, A1, B1, C1 and D1 and be respectively A(X
a, Y
a, Z
a), B(X
b, Y
b, Z
b), C(X
c, Y
c, Z
c), D(X
d, Y
d, Z
d), A1(X
A1, Y
A1, Z
A1), B1(X
B1, Y
B1, Z
B1), C1(X
C1, Y
C1, Z
C1), D1(X
D1, Y
D1, Z
D1); The parameter value of A, B, C, D, A1, B1, C1 and D1 is respectively E
a, E
b, E
c, E
d, E
A1, E
B1, E
C1, E
D1
1 F(X in the matrix then, Y, Z) calculated value E
FFormula is as follows:
Calculate F point and A, B, C, D, A
1, B
1, C
1And D
1Between distance, be designated as R
FA, R
FB, R
FC, R
FD, R
FA1, R
FB1, R
FC1, R
FD1, R
FD1Wherein, range formula is as follows:
Obtain each apart from sum R=R
FA+ R
FB+ R
FC+ R
FD+ R
FA1+ R
FB1+ R
FC1+ R
FD1
E
F=(E
a*R
FA+?E
b*R
FB+?E
c*R
FC+?E
d*R
FD+?E
a1*R
FA1+?E
b1*R
FB1+?E
c1*R
FC1+?E
d1*R
FD1)/R?+?Φ;
Wherein Φ is for adjusting experience factor, be by the actual measurement more than 1000 times and the mean difference between the calculated value for the basis, by the match value of random chance, be a probability changing value;
(2) according to F(X, Y, Z) data value determine that this puts corresponding isotherm color, with this color output.
Preferably, described parameter value is the computer room temperature value.
Preferably, described parameter value is the machine room humidity value.
Preferably, described parameter value is machine room pressure monitor value.
Preferably, described parameter value is the greenhouse temperature value.
Preferably, described parameter value is the chamber humidity value.
Preferably, described parameter value is greenhouse air pressure monitor value.
Preferably, described parameter value is toxic gas content monitoring value.
Preferably, described parameter value is the concentration measurement and control value of toxic liquid.
Preferably, described parameter value is toxic distribution of gas condition monitoring value.
Owing to having adopted above-mentioned technology, compared with prior art, the data fields method for visualizing that respective coordinates of the present invention is utilizes numerical calculations data value field data out huge especially, will understand fully, analyze these data with conventional method, it is very difficult seeking out corresponding data value Changing Pattern.Utilizing the computer visualization methods analyst to put the huge result of calculation of these data in order, is to alleviate the labour intensity of above-mentioned work and the most effectual way of increasing work efficiency.Carrying out the visual main method of result of calculation for the data value field, is the data fields with color figure analog computation zone.This method of the present invention can be expressed the complete information of whole zoning, again can the dynamic change in time of continuous analog data fields, thus give complete continuous observation process of researcher.
The technical matters that solves: the parameter of having a few in the plane real-time (in mode one by one) and represent visually to the observer, therefore, the present invention has following advantage:
(1) whole understanding can be arranged to the data value situation in the whole three-dimensional coordinate system, can find out data value height relative between the each point at a glance;
(2) see if there is the point that data value surpasses zone of reasonableness by using obvious color (such as redness), can allowing the observer look into rapidly, and the distribution situation of these points;
(3) emphasis has solved: (realize) the continuous changing trend diagram between all parameters in the Mo Yiping face in a period of time by one by one mode.
The technical field of method of the present invention belongs to: the digitized monitoring of data value, humidity, pressure, concentration, density etc. and control.
Range of application of the present invention comprises at least:
(1) computer room temperature, humidity, pressure monitor;
(2) greenhouse (comprising booth) data value, humidity, air pressure monitor;
(3) concentration of the toxic gas of field of Environment Protection, liquid, distribution detect etc.
The data fields method for visualizing that respective coordinates of the present invention is can be applied to computer room temperature monitoring, greenhouse (comprising booth) data value monitoring and freezer, the monitoring of refrigerator data value etc.The present invention can have to the data value situation in the whole three-dimensional coordinate system whole understanding, can find out data value height relative between the each point at a glance, by using obvious color (such as redness), can allow the observer look into rapidly and see if there is the point that data value surpasses zone of reasonableness, and the distribution situation of these points.
Further specify the present invention below in conjunction with drawings and Examples.
Description of drawings
Fig. 1 is the process flow diagram of the data fields method for visualizing of a kind of respective coordinates of the present invention system.
Embodiment
Introduce a kind of specific embodiment of the present invention below by Fig. 1.
Embodiment 1
As shown in Figure 1, the invention provides the data fields method for visualizing that a kind of respective coordinates is, the data acquisition unit that adopts stereoscopic matrix to arrange may further comprise the steps:
(1) set the data value that represents difference with different colours, data value is higher, represents that the colour temperature of color of this data value is higher; Data value is lower, represents that the colour temperature of color of this data value is lower;
The position of (2) establishing each data acquisition unit is the collection point, collects positional information and the data value of each data acquisition unit in the solid space, sets up three-dimensional coordinate system, adopts different colours to represent the data value of each point; And
(3) according to positional information and the data value of collection point, calculate data value corresponding to coordinate between the collection point, adopt different colours to represent the data value of each point.
2, the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described step may further comprise the steps in (1): set the isotherm color, the point in same data value range is represented with same color.
3, the data fields method for visualizing of respective coordinates as claimed in claim 2 system, it is characterized in that: described step may further comprise the steps in (3):
(1) establishes on the matrix coordinate that eight angles are respectively A, B, C, D, A1, B1, C1 and D1 and be respectively A(X
a, Y
a, Z
a), B(X
b, Y
b, Z
b), C(X
c, Y
c, Z
c), D(X
d, Y
d, Z
d), A1(X
A1, Y
A1, Z
A1), B1(X
B1, Y
B1, Z
B1), C1(X
C1, Y
C1, Z
C1), D1(X
D1, Y
D1, Z
D1); The parameter value of A, B, C, D, A1, B1, C1 and D1 is respectively E
a, E
b, E
c, E
d, E
A1, E
B1, E
C1, E
D1
1 F(X in the matrix then, Y, Z) calculated value E
FFormula is as follows:
Calculate F point and A, B, C, D, A
1, B
1, C
1And D
1Between distance, be designated as R
FA, R
FB, R
FC, R
FD, R
FA1, R
FB1, R
FC1, R
FD1, R
FD1Wherein, range formula is as follows:
Obtain each apart from sum R=R
FA+ R
FB+ R
FC+ R
FD+ R
FA1+ R
FB1+ R
FC1+ R
FD1
E
F=(E
a*R
FA+?E
b*R
FB+?E
c*R
FC+?E
d*R
FD+?E
a1*R
FA1+?E
b1*R
FB1+?E
c1*R
FC1+?E
d1*R
FD1)/R?+?Φ;
Wherein Φ is for adjusting experience factor, be by the actual measurement more than 1000 times and the mean difference between the calculated value for the basis, by the match value of random chance, be a probability changing value;
(2) according to F(X, Y, Z) data value determine that this puts corresponding isotherm color, with this color output.
Preferably, described parameter value is the computer room temperature value.
Preferably, described parameter value is the machine room humidity value.
Preferably, described parameter value is machine room pressure monitor value.
Preferably, described parameter value is the greenhouse temperature value.
Preferably, described parameter value is the chamber humidity value.
Preferably, described parameter value is greenhouse air pressure monitor value.
Preferably, described parameter value is toxic gas content monitoring value.
Preferably, described parameter value is the concentration measurement and control value of toxic liquid.
Preferably, described parameter value is toxic distribution of gas condition monitoring value.
In summary, owing to having adopted above-mentioned technology, the data fields method for visualizing that respective coordinates of the present invention is utilizes numerical calculations data value field data out huge especially, will understand fully, analyze these data with conventional method, it is very difficult seeking out corresponding data value Changing Pattern.Utilizing the computer visualization methods analyst to put the huge result of calculation of these data in order, is to alleviate the labour intensity of above-mentioned work and the most effectual way of increasing work efficiency.Carrying out the visual main method of result of calculation for the data value field, is the data fields with color figure analog computation zone.This method of the present invention can be expressed the complete information of whole zoning, again can the dynamic change in time of continuous analog data fields, thus give complete continuous observation process of researcher.And the data fields method for visualizing that respective coordinates of the present invention is can be applied to computer room temperature monitoring, greenhouse (comprising booth) data value monitoring and freezer, the monitoring of refrigerator data value etc.The present invention can have to the data value situation in the whole three-dimensional coordinate system whole understanding, can find out data value height relative between the each point at a glance, by using obvious color (such as redness), can allow the observer look into rapidly and see if there is the point that data value surpasses zone of reasonableness, and the distribution situation of these points.
Above-described embodiment only is used for illustrating technological thought of the present invention and characteristics, its purpose is to make those skilled in the art can understand content of the present invention and implements according to this, can not only limit claim of the present invention with the present embodiment, be all equal variation or modifications of doing according to disclosed spirit, still drop in the claim of the present invention.
Claims (12)
1. the data fields method for visualizing of respective coordinates system, the data acquisition unit that adopts stereoscopic matrix to arrange is characterized in that, may further comprise the steps:
(1) set the data value that represents difference with different colours, data value is higher, represents that the colour temperature of color of this data value is higher; Data value is lower, represents that the colour temperature of color of this data value is lower;
The position of (2) establishing each data acquisition unit is the collection point, collects positional information and the data value of each data acquisition unit in the solid space, sets up three-dimensional coordinate system, adopts different colours to represent the data value of each point; And
(3) according to positional information and the data value of collection point, calculate data value corresponding to coordinate between the collection point, adopt different colours to represent the data value of each point.
2. the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described step may further comprise the steps in (1): set the isotherm color, the point in same data value range is represented with same color.
3. the data fields method for visualizing of respective coordinates as claimed in claim 2 system, it is characterized in that: described step may further comprise the steps in (3):
(1) establishes on the matrix coordinate that eight angles are respectively A, B, C, D, A1, B1, C1 and D1 and be respectively A(X
a, Y
a, Z
a), B(X
b, Y
b, Z
b), C(X
c, Y
c, Z
c), D(X
d, Y
d, Z
d), A1(X
A1, Y
A1, Z
A1), B1(X
B1, Y
B1, Z
B1), C1(X
C1, Y
C1, Z
C1), D1(X
D1, Y
D1, Z
D1); The parameter value of A, B, C, D, A1, B1, C1 and D1 is respectively E
a, E
b, E
c, E
d, E
A1, E
B1, E
C1, E
D1
1 F(X in the matrix then, Y, Z) calculated value E
FFormula is as follows:
Calculate F point and A, B, C, D, A
1, B
1, C
1And D
1Between distance, be designated as R
FA, R
FB, R
FC, R
FD, R
FA1, R
FB1, R
FC1, R
FD1, R
FD1Wherein, range formula is as follows:
Obtain each apart from sum R=R
FA+ R
FB+ R
FC+ R
FD+ R
FA1+ R
FB1+ R
FC1+ R
FD1
E
F=(E
a*R
FA+?E
b*R
FB+?E
c*R
FC+?E
d*R
FD+?E
a1*R
FA1+?E
b1*R
FB1+?E
c1*R
FC1+?E
d1*R
FD1)/R?+?Φ;
Wherein Φ is for adjusting experience factor, be by the actual measurement more than 1000 times and the mean difference between the calculated value for the basis, by the match value of random chance, be a probability changing value;
(2) according to F(X, Y, Z) data value determine that this puts corresponding isotherm color, with this color output.
4. the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described parameter value is the computer room temperature value.
5. the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described parameter value is the machine room humidity value.
6. the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described parameter value is machine room pressure monitor value.
7. the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described parameter value is the greenhouse temperature value.
8. the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described parameter value is the chamber humidity value.
9. the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described parameter value is greenhouse air pressure monitor value.
10. the data fields method for visualizing of respective coordinates as claimed in claim 1 system, it is characterized in that: described parameter value is toxic gas content monitoring value.
11. the data fields method for visualizing that respective coordinates as claimed in claim 1 is, it is characterized in that: described parameter value is the concentration measurement and control value of toxic liquid.
12. the data fields method for visualizing that respective coordinates as claimed in claim 1 is, it is characterized in that: described parameter value is toxic distribution of gas condition monitoring value.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310007154.9A CN103049584B (en) | 2013-01-09 | 2013-01-09 | A kind of data field visualization method of respective coordinates system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310007154.9A CN103049584B (en) | 2013-01-09 | 2013-01-09 | A kind of data field visualization method of respective coordinates system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103049584A true CN103049584A (en) | 2013-04-17 |
CN103049584B CN103049584B (en) | 2015-09-16 |
Family
ID=48062224
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310007154.9A Expired - Fee Related CN103049584B (en) | 2013-01-09 | 2013-01-09 | A kind of data field visualization method of respective coordinates system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103049584B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103793581A (en) * | 2014-03-05 | 2014-05-14 | 中商商业发展规划院有限公司 | Refrigerator van temperature field actually-measured data visualization processing method and system |
CN104614094A (en) * | 2013-11-05 | 2015-05-13 | 深圳中兴力维技术有限公司 | Method and device for performing temperature monitoring of machine room |
CN106440225A (en) * | 2016-10-14 | 2017-02-22 | 郑州云海信息技术有限公司 | Machine room temperature 3D monitoring method and device |
CN109460019A (en) * | 2018-10-31 | 2019-03-12 | 仲恺农业工程学院 | The construction method of time sequence spacing data fields in facilities vegetable growing environment |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102635929A (en) * | 2012-05-10 | 2012-08-15 | 四川电力科学研究院 | Intelligent temperature and humidity monitoring device suitable for machine room working environment |
CN102833117A (en) * | 2012-09-10 | 2012-12-19 | 山东省计算中心 | Data center dynamic environment monitoring system and method on basis of IOT (Internet Of Things) technology |
-
2013
- 2013-01-09 CN CN201310007154.9A patent/CN103049584B/en not_active Expired - Fee Related
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102635929A (en) * | 2012-05-10 | 2012-08-15 | 四川电力科学研究院 | Intelligent temperature and humidity monitoring device suitable for machine room working environment |
CN102833117A (en) * | 2012-09-10 | 2012-12-19 | 山东省计算中心 | Data center dynamic environment monitoring system and method on basis of IOT (Internet Of Things) technology |
Non-Patent Citations (1)
Title |
---|
BIOCOMPUTER: "机房热点精确定位和定量分析系统", 《HTTP://WENKU.BAIDU.COM/LINK?URL=YTQJES6JC-96UF0LG3ISTQGPDE_LW7SRWDIJEPYLOFEVBLF8EZNVN48JIVVQ3CX2HMNQDTSQ9W_H7HG_XURATFC4GS6ZTFN6YGTPGQARTMO》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104614094A (en) * | 2013-11-05 | 2015-05-13 | 深圳中兴力维技术有限公司 | Method and device for performing temperature monitoring of machine room |
CN104614094B (en) * | 2013-11-05 | 2019-09-20 | 深圳力维智联技术有限公司 | Computer room temperature monitoring implementation method and its device |
CN103793581A (en) * | 2014-03-05 | 2014-05-14 | 中商商业发展规划院有限公司 | Refrigerator van temperature field actually-measured data visualization processing method and system |
CN106440225A (en) * | 2016-10-14 | 2017-02-22 | 郑州云海信息技术有限公司 | Machine room temperature 3D monitoring method and device |
CN109460019A (en) * | 2018-10-31 | 2019-03-12 | 仲恺农业工程学院 | The construction method of time sequence spacing data fields in facilities vegetable growing environment |
Also Published As
Publication number | Publication date |
---|---|
CN103049584B (en) | 2015-09-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102848389B (en) | Realization method for mechanical arm calibrating and tracking system based on visual motion capture | |
CN110253570A (en) | The industrial machinery arm man-machine safety system of view-based access control model | |
CN107067470A (en) | Portable three-dimensional reconstruction of temperature field system based on thermal infrared imager and depth camera | |
CN103049584B (en) | A kind of data field visualization method of respective coordinates system | |
CN106548675A (en) | Virtual military training method and device | |
Nowke et al. | VisNEST—Interactive analysis of neural activity data | |
JP7182976B2 (en) | Information processing device, information processing method, and program | |
CN101593358A (en) | A kind of method for reconstructing three-dimensional model | |
CN102932638B (en) | 3D video monitoring method based on computer modeling | |
CN104199949B (en) | Under a kind of real time environment extensive dynamic object method for visualizing is realized using grid | |
CN104460950A (en) | Implementation of simulation interactions between users and virtual objects by utilizing virtual reality technology | |
KR20120100230A (en) | 3d model visualization system for construction structure using augmented reality and specially designed construction drawing for developed system | |
WO2018156087A1 (en) | Finite-element analysis augmented reality system and method | |
CN102999165B (en) | A kind of virtual reality system based on infrared identification and exchange method | |
CN105824417A (en) | Method for combining people and objects through virtual reality technology | |
CN111999030B (en) | Three-dimensional oil flow VR (virtual reality) online measurement and display system and working method thereof | |
CN102621143B (en) | Dual-view angle multiple bubble corresponding point matching method based on multi-dimensional threshold value constraint | |
CN109100112A (en) | A kind of air spring pole wind tunnel test plane wind vibration response test method based on computer vision | |
Noborio et al. | Image-based initial position/orientation adjustment system between real and virtual livers | |
Mizuchi et al. | Evaluation of human behavior difference with restricted Field of view in real and VR environments | |
CN109164909B (en) | Data processing device, system and method based on virtual reality technology | |
CN110532643A (en) | A method of solving the wind environment of high-rise based on BIM model | |
CN104318587A (en) | Target tracking method based on novel visual tracking technology | |
Pan et al. | The research on social distance detection on the complex environment of multi-pedestrians | |
Hou et al. | Obstacle Detection in the surrounding Environment of manipulators based on Point Cloud data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150916 Termination date: 20200109 |