CN106052645A - Real-time detection system and method for spatial pose of boom-type roadheader - Google Patents
Real-time detection system and method for spatial pose of boom-type roadheader Download PDFInfo
- Publication number
- CN106052645A CN106052645A CN201610141544.9A CN201610141544A CN106052645A CN 106052645 A CN106052645 A CN 106052645A CN 201610141544 A CN201610141544 A CN 201610141544A CN 106052645 A CN106052645 A CN 106052645A
- Authority
- CN
- China
- Prior art keywords
- laser
- cross
- real
- boom
- spatial pose
- 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
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
Abstract
The invention provides a real-time detection system and method for the spatial pose of a boom-type roadheader. The real-time detection system comprises two cross laser transmitters, an industrial control computer, two Internet protocol cameras and two laser targets. Machine vision technology is used as an acquisition manner for pose parameters; a mathematic model for resolving the pose of the roadheader is established so as to obtain the yaw angle, pitch angle, roll angle of the roadheader in heading process and the offset of a fixed point on the body of the roadheader on the cross section of a tunnel, i.e., the spatial pose of the roadheader, and the spatial pose can be used for deviation rectification in automatic heading of the roadheader. Experimental results show that the precision of an angle detected by the system is within 0.5 DEG and the precision of offset is better than 20 mm; an interval between processing time and displaying time for each frame of an image is about 5 s; so requirements of tunnel construction for automation, precision and real-time positioning are met.
Description
Technical field
The present invention relates to a kind of spatial pose real-time detecting system and the method for mining boom-type roadheader, belong to
Extractive equipment application and machine vision applications field.
Background technology
Boom-type roadheader is a kind of common mining machinery, is widely used in coal mine roadway and tunnel
In excavation.
Currently, the tunneling process of development machine relies primarily on laser target guiding and manually estimates realization, easily
Disturbed by on-the-spot light and the factor such as artificial, thus cause and backbreak in tunnel, owe to dig phenomenon, cause enterprise
Coal mining inefficiency even causes safety problem.Therefore, it is achieved the automatization of development machine tunneling process and intellectuality
Just seem particularly urgent, and the most accurately driving of development machine to be solved has been necessary for its fuselage spatial pose
The detection the most in real time of parameter.Machine body of boring machine pose detection technique based on stereo computer vision, its technology
Essence is exactly to utilize machine vision technique to replace human eye to detect and the pose of analysis space rigid body, uses this technology
Scheme has that hardware cost is low, easy and simple to handle, certainty of measurement high.
Existing patent of invention such as Publication No. CN101819036A and publication number CN102878976A, all
The principle using stereo computer vision measures the fuselage pose parameter of development machine, but owing to this type of patent of invention is built
During formwork erection type, employing point lasing light emitter is as pointing to unit, therefore the point source that all there is the transmitting of laser alignment unit is easy
Blocked, thus cause measurement system accuracy poor, unstable, even result in and cannot detect heading machine pose
Parameter.So, this type of invention has limitation, it is impossible to further genralrlization.
Summary of the invention
Patent of the present invention, for the deficiency of background technology, proposes a kind of boom-type roadheader spatial pose real-time
Detecting system and method, can detect the spatial pose parameter of machine body of boring machine real-time and accurately, and have anti-dry
Immunity is strong, stability high.
To achieve these goals, the present invention is achieved by the following technical solutions:
Patent of the present invention is a kind of boom-type roadheader spatial pose real-time detecting system and method, can be real-time
Obtain the pose parameter of development machine, including yaw angle α, pitching angle beta, roll angle γ and fuselage central point
The coordinate of D (dx, dy, dz), due in practical operation Herba Plantaginis away from L (i.e. dy) for the correction use of development machine
Not quite, thus described detecting system and method only calculate on machine body of boring machine fixing a little value of dx Yu dz.
Further, described system includes two cross laser emitters, industrial computer, a Liang Tai
Web camera, two laser targets.
Further, described two cross laser emitters are mine anti-explosion cross laser emitter, vertical
Back is fixed in suspension, launches cross laser signal to said two laser target respectively.
Further, said two laser target be separately fixed at the left front of machine body of boring machine horizontal plane with
Right back, for receiving the projection of the cross laser that described cross laser emitter is launched.
Further, described two web cameras are mine anti-explosion web camera, are respectively arranged in institute
State the dead astern of two laser targets, for gathering the development machine time of running of the cross laser at described laser target
Imaging.
Further, described industrial computer can process a large amount of graphics data in real time, by with described
Two web cameras connect, and extract the imaging on the left and right laser target that described web camera gathers respectively also
Carry out image procossing and characteristic parameter extraction.
Further, through described industrial computer, described web camera is gathered image to process and carry
After taking characteristic parameter, the coordinate of the optical characteristic point of laser image can be calculated from described laser target target surface,
The cross laser launched including described cross laser emitter and the coordinate of described laser target target surface intersection point, institute
State the center point coordinate that the cross laser that cross laser emitter launches projects at described laser target target surface.
Further, according to tunnel coordinate system and fuselage coordinates system bi-coordinate system model with above-mentioned calculate
The coordinate of characteristic point, carries out pose resolving, finally gives development machine spatial pose parameter under the coordinate system of tunnel,
The i.e. value of yaw angle α, pitching angle beta, roll angle γ, left and right offset distance dx and upper and lower offset distance dz.
Compared with the prior art, the medicine have the advantages that
Machine vision technique is applied to boom-type roadheader fuselage pose detecting system by the present invention, by hardware
Software implementation, has low cost, easy and simple to handle, certainty of measurement high.Additionally, the present invention also uses double ten
Word generating laser, efficiently solve point source easily by blocking that the measurement system that causes is unstable, measurement result not
Accurate problem, has the features such as strong interference immunity, cost be controlled, possesses certain market popularization value.
Accompanying drawing explanation
Accompanying drawing 1 is development machine of the present invention and measurement equipment mutual alignment figure;
Accompanying drawing 2 is tunnel of the present invention coordinate system and machine body of boring machine coordinate system illustraton of model;
Accompanying drawing 3 is development machine spatial pose overhaul flow chart of the present invention;
Accompanying drawing 4 is bi-coordinate system fuselage pose mathematical model of the present invention vector and angular transition schematic diagram;
Accompanying drawing 5 is that laser target imaging features point of the present invention resolves schematic diagram;
Accompanying drawing 6 is that development machine spatial pose of the present invention resolves schematic diagram;
Accompanying drawing 7 is fuselage coordinates system of the present invention and tunnel coordinate system Coordinate Conversion schematic diagram.
Detailed description of the invention
In order to be more clearly understood that the above-mentioned purpose of the present invention, feature, advantage, below in conjunction with the accompanying drawings
With detailed description of the invention, the present invention is further elaborated on.
Equipment is installed and the foundation of model:
With reference to shown in accompanying drawing 1, patent of the present invention is that a kind of boom-type roadheader spatial pose detects system in real time
System and method, including two cross laser emitters 1,2, two laser targets 4,6, two network shootings
5,7 and industrial computer of machine.
Back is fixed in the most vertical suspension of described two cross laser emitters 1,2, during installation,
Ensure that two bundle horizontal laser light are overlapping and are parallel to development machine and preset direct of travel, described two cross laser emitters
1, the 2 cross laser planes launched are vertical with described laser target plane 4,6 respectively, and described two laser are sent out
Emitter center is with axis, tunnel apart from equal, and described two generating laser spacing are l;Said two laser
Target 4,6 is separately fixed at left front and the right back of machine body of boring machine horizontal plane, ensures described two during installation
Individual laser target is parallel to vertical of machine body of boring machine and two bundle cross lasers respectively at said two laser mark
Initial imaging on target is positioned at center;Described two web cameras 5,7 are installed on the dead astern of target,
And adjust distance each other, to ensure the integrity of imaging.
Shown in reference accompanying drawing 2 and accompanying drawing 4, set up tunnel coordinate system and fuselage coordinates system bi-coordinate system fuselage
Pose mathematical model, described model needs drift section coordinate system is OhXhYhZh, described in the initial position moment
Machine body of boring machine center line overlaps with laneway midline, described tunnel coordinate origin OhIt is positioned at the geometry of drift section
Center, XhAxle points on the right side of tunnel, YhAxle and tunnel axis parallel also point to development machine direction of advance, Zh
Axle vertically constitutes right hand relations with upper two axles and orientation is above positive direction.
Described fuselage coordinates system is ObXbYbZbSet up on machine body of boring machine, initial point ObIt is positioned at fuselage axis
On line, the X when initial positionb、Yb、ZbThree axles respectively with Xh、Yh、ZhThree axles are parallel.
Described model can be reduced to the determination of cuboid rigid body pose, i.e. fuselage coordinates system under the coordinate system of tunnel
Xb、Yb、ZbVector under the coordinate system of tunnelAnd on rigid body any point at this seat
Coordinate under mark system.
Wherein, the normal vector of three planes of fuselage under fuselage coordinates system with the transformational relation of α, β, γ is:
And then can obtain,
Machine body of boring machine pose detection overall flow:
With reference to shown in accompanying drawing 3, carry in described two web cameras first by described industrial computer
The imaging on said two laser target taken is sampled, and the video flowing collected can sample timing a frame figure
Picture.
Further, use described industrial computer process image and extract characteristic parameter, first use Retinex
Algorithm for image enhancement carries out adaption brightness regulation to image, and the image owing to collecting creates bigger bucket row
Distortion, therefore need to carry out distortion correction to image, then by the process of color being filtered out in two target surface images not
The laser rays needed, the method using Straight edge inspection the actual size installed according to target, calculate machine
The cross laser that under body coordinate system, described cross laser emitter is launched respectively with described laser imaging target target
The cross laser central point that the coordinate of face intersection point and described cross laser emitter are launched is at described laser target surface
The coordinate of imaging.
Described solution process is with reference to accompanying drawing 4, with described laser target γ1As a example by, calculate under polar coordinate respectively
Go out straight line l1、l2With four reference point (P1-P4) intersection point A, B, E, F, M of line be at image coordinate system
Under coordinate, then be transformed under fuselage coordinates system by formula (1):
Wherein, (x, y) is 5 coordinates in image coordinate system, and h is P1、P4Between actual range, w
For P1、P3Between actual range, (X, Y, Z) is 5 coordinates in fuselage coordinates system.
Further, according to above-mentioned two laser target γ1、γ1In the coordinate of 10 points, calculate lane
Fix on the yaw angle of development machine, the angle of pitch, roll angle and fuselage under road cross-sectional coordinates and a little cut in tunnel
The spatial pose (α, beta, gamma, dx, dz) of the side-play amount on face, i.e. development machine.
Fuselage is relative to the yaw angle α under the coordinate system of tunnel, pitching angle beta and roll angle γ solution process reference accompanying drawing
6, the overlaying horizontal face that described two cross laser emitters produce is considered as face α, left cross laser vertical plane is
β1, right cross laser vertical plane is β2, right cross laser (α, β2) at target surface γ1Two of upper projection are intersected straight
Line is AB, EF and meets at a M, left cross laser (α, β1) at target surface γ2Two of upper projection are intersected straight
Line is CD, GH and meets at a N.Because of face γ1With face γ2Parallel, therefore horizontal laser light face α is at described laser target
Two straight line AB with CD formed on target surface are parallel to each other, by the image procossing of previous step and described laser
The actual size of target and installation site can obtain γ1With γ2The concrete coordinate of upper ten points, thus obtain plane
α is in coordinate system ObXbYbZbUnder normal vectorWith plane equation.
In particular cases, vectorIt is parallel to vectorNow the pitching angle beta of development machine is zero, roll
Angle γ is straight line CD and axle XbBetween angle, yaw angle α isWith during initial positionBetween angle;
If it is vectorialIt is not parallel to vectorThenIt is plane β1Normal vectorRespectively
In tunnel cross-sectional coordinates Xh、ZhDirection identical, YhDirection beEasily try to achieve,
1 N ' on line segment CD extended line meetsThe central axis of the rightest cross laser, thus will be flat
Face β1It is shifted to the right to plane β2Position, simulate cross laser drop shadow effect ideally, for point coordinates
Offer condition is accurately provided.
With reference to accompanying drawing 7, above-mentioned gainedFor fuselage coordinates system ObXbYbZbUnder fuselage
Direction vector, must carry out Coordinate Conversion again, obtain tunnel coordinate system OhXhYhZhThe direction vector of lower fuselage.
Concrete solution process is as follows: to matrix (Nx, Ny, Nz)TDoing matrixing, being multiplied with transition matrix R is converted to
Unit matrix, i.e. can get OhXhYhZhThe unit vector of lower three axles of coordinate system.
N R=E (4)
VectorAt OhXhYhZhIt is unit matrix E under coordinate system, unit matrix is done phase
Convert together the matrix obtained, be OhXhYhZhFuselage pose under coordinate system.
B=E R (5)
I.e. B=N-1, available
Fuselage is i.e. can get relative to the yaw angle α under the coordinate system of tunnel, pitching angle beta and roll again by (2) formula
Angle γ.
Fuselage is as follows relative to the point coordinates solution process under the coordinate system of tunnel:
Further, for determining the pose of a rigid body in space, the side of three axles of body axis system is only known
Can not be accurately positioned to angle, also need to obtain any point O on rigid body1Concrete coordinate in space, i.e. (O1x,
O1y, O1z).In development machine alignment system, development machine is left and right, upper and lower offset distance on cross section, tunnel
Find that the walking of development machine is inclined than the distance more efficiently help mine staff passed by along tunnel central shaft
Difference is also rectified a deviation in time.And due to the method for described detecting system employing vision localization, it is impossible to definitely know development machine
And the axial distance O between the coordinate system zero of tunnel1y, therefore described detecting system is for the resolving of point coordinates
Calculate (O1x, O1z), i.e. O on cross section, tunnel1Point is relative to the offset distance of section central point.
With reference to accompanying drawing 6, straight line MN ' is right cross laser central axis, is parallel to tunnel cross-sectional coordinates
YhAxle.Described detecting system selects ObPoint is fuselage anchor point, seeks an ObAt face ZhOhXhUpper relative tunnel
The skew of axis, can first be reduced to seek an ObIt is being parallel to ZhOhXhProjection in one plane is relative to MN '
The skew of subpoint, i.e. looks for 1 O on straight line MN '0, meet
Point ObAt coordinate plane ZhOhXhCoordinate (dx, the dz) computational methods of upper subpoint are as follows,
The undeclared part related in the present invention is same as the prior art or uses prior art to be realized.
Claims (6)
1. a boom-type roadheader spatial pose real-time detecting system and method, it is characterised in that including: two cross laser emitters, industrial computer, two web cameras, two laser targets, wherein,
Described two cross laser emitters are mine anti-explosion cross laser emitter, and back is fixed in the most vertical suspension, launch cross laser bundle;
Said two laser target is frosting translucent PC plate, is fixed on left front and the right back of machine body of boring machine horizontal panel, is respectively used to receive the projection of the cross laser that described cross laser emitter is launched;
Described two web cameras are mine anti-explosion web camera, are respectively arranged in the dead astern of said two laser target, gather the development machine time of running of the cross laser imaging at described laser imaging target;
Described industrial computer, by being connected with described two web cameras, extracts the image on the left and right laser target that described web camera gathers respectively, and carries out processing and characteristic parameter extraction, finally give development machine spatial pose parameter under the coordinate system of tunnel.
A kind of boom-type roadheader spatial pose real-time detecting system the most according to claim 1 and method, it is characterized in that, the installation of described two cross laser devices need to ensure that two bundle horizontal laser light are overlapping and are parallel to development machine and preset direct of travel, the cross laser plane that described two cross laser emitters are launched is vertical with described laser target plane respectively, described two generating laser centers are with axis, tunnel apart from equal, and described two generating laser spacing arel。
A kind of boom-type roadheader spatial pose real-time detecting system the most according to claim 1 and method, it is characterized in that, said two laser target need to ensure to be parallel to the tail plane of machine body of boring machine when installing and the two bundle cross laser initial imagings on said two laser target respectively are positioned at center.
A kind of boom-type roadheader spatial pose real-time detecting system the most according to claim 1 and method, it is characterized in that, described two web cameras need to ensure to lay respectively at the dead astern of described laser target when installing, and adjusts the integrity of distance guarantee imaging each other.
A kind of boom-type roadheader spatial pose real-time detecting system the most according to claim 1 and method, it is characterized in that, described industrial computer can process Various types of data immediately, it is arranged on inside development machine, it is rigidly connected with development machine, is connected with described two web cameras respectively by network connection, obtain the imaging of said two laser target, and carry out image procossing and characteristic parameter extraction, finally calculate development machine spatial pose parameter under the coordinate system of tunnel.
6. according to a kind of boom-type roadheader spatial pose real-time detecting system described in claim 1 to 5 and method, it is characterized in that, described boom-type roadheader spatial pose real-time detecting system detection method is: use two described cross laser devices being fixed on tunnel to project to corresponding described laser target, then by the imaging on described laser target during two the described web camera Real-time Collection development machine work being fixed on machine body of boring machine, use Retinex algorithm for image enhancement subsequently, the video signal collected is processed by the image processing method such as image distortion correction and straight-line detection, finally utilize the pose established to resolve model and obtain the yaw angle in development machine traveling process, the angle of pitch, fixing some side-play amount on cross section, tunnel on roll angle and fuselage.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610141544.9A CN106052645B (en) | 2016-03-11 | 2016-03-11 | A kind of boom-type roadheader spatial pose real-time detecting system and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610141544.9A CN106052645B (en) | 2016-03-11 | 2016-03-11 | A kind of boom-type roadheader spatial pose real-time detecting system and method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106052645A true CN106052645A (en) | 2016-10-26 |
CN106052645B CN106052645B (en) | 2018-08-24 |
Family
ID=57484322
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610141544.9A Expired - Fee Related CN106052645B (en) | 2016-03-11 | 2016-03-11 | A kind of boom-type roadheader spatial pose real-time detecting system and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106052645B (en) |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106761738A (en) * | 2016-12-15 | 2017-05-31 | 中国矿业大学 | The boom-type roadheader and method in cut path can be automatically planned based on machine vision |
CN106840137A (en) * | 2016-12-28 | 2017-06-13 | 中国煤炭科工集团太原研究院有限公司 | A kind of four-point development machine is automatically positioned orientation method |
CN106839990A (en) * | 2017-04-05 | 2017-06-13 | 中国矿业大学 | A kind of colliery laser facula coordinate detecting device and method |
CN107014379A (en) * | 2017-05-25 | 2017-08-04 | 中国矿业大学 | A kind of development machine absolute space apparatus for detecting position and posture and method |
CN107316288A (en) * | 2017-06-13 | 2017-11-03 | 西安科技大学 | A kind of boom-type roadheader cutterhead pose vision measuring method |
CN107741200A (en) * | 2017-11-15 | 2018-02-27 | 西安科技大学 | Two planar lasers for boom-type roadheader are to penetrating pose measurement system and method |
CN108564628A (en) * | 2018-04-17 | 2018-09-21 | 北京理工大学 | A kind of cutterhead vision positioning orientation system towards development machine automation |
CN109115172A (en) * | 2018-08-23 | 2019-01-01 | 西安科技大学 | Coalcutter fuselage position and posture detection method based on machine vision |
CN109115173A (en) * | 2018-08-23 | 2019-01-01 | 西安科技大学 | Machine body of boring machine pose monocular vision measurement method based on straight line location model |
CN109579831A (en) * | 2018-11-09 | 2019-04-05 | 西安科技大学 | Mining boom-type roadheader visualization auxiliary guidance method and system |
CN109696126A (en) * | 2019-02-27 | 2019-04-30 | 中国矿业大学(北京) | The system for measuring heading machine pose |
CN110532995A (en) * | 2019-09-04 | 2019-12-03 | 精英数智科技股份有限公司 | Tunnelling monitoring method based on computer vision, apparatus and system |
CN110736446A (en) * | 2019-10-28 | 2020-01-31 | 西安电子科技大学 | boom-type roadheader pose identification system and method |
CN111197982A (en) * | 2020-01-10 | 2020-05-26 | 北京航天众信科技有限公司 | Heading machine pose deviation rectifying method, system and terminal based on vision and strapdown inertial navigation |
CN111780748A (en) * | 2020-05-16 | 2020-10-16 | 北京航天众信科技有限公司 | Heading machine pose deviation rectifying method and system based on binocular vision and strapdown inertial navigation |
CN112050732A (en) * | 2020-08-21 | 2020-12-08 | 西安科技大学 | Method and system for automatically detecting spatial pose of cantilever type heading machine |
CN112557072A (en) * | 2020-11-12 | 2021-03-26 | 中国煤炭科工集团太原研究院有限公司 | Method and device for calibrating spatial degree of freedom of cantilever of excavating equipment |
CN113063362A (en) * | 2021-04-07 | 2021-07-02 | 湖南凌翔磁浮科技有限责任公司 | Non-contact type maglev train bogie spacing detection method |
CN117579790A (en) * | 2024-01-16 | 2024-02-20 | 金钱猫科技股份有限公司 | Construction site monitoring method and terminal |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110700840B (en) * | 2019-10-21 | 2021-10-22 | 北京易联创安科技发展有限公司 | Position and posture measuring method of heading machine based on laser target positioning |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH05172516A (en) * | 1991-12-24 | 1993-07-09 | Hitachi Zosen Corp | Apparatus and method for automatically measuring position and attitude of moving body |
CN101629807A (en) * | 2009-08-20 | 2010-01-20 | 中国矿业大学(北京) | Position and attitude parameter measurement system of machine body of boring machine and method thereof |
CN102878976A (en) * | 2012-09-26 | 2013-01-16 | 三一重型装备有限公司 | Heading machine position and posture detecting system and heading machine |
CN103791889A (en) * | 2014-01-14 | 2014-05-14 | 南京航空航天大学 | Cross structure light assisted monocular vision pose measurement method |
CN105241444A (en) * | 2015-09-19 | 2016-01-13 | 中国煤炭科工集团太原研究院有限公司 | Automatic boom road-header space pose detection system and measurement method thereof |
-
2016
- 2016-03-11 CN CN201610141544.9A patent/CN106052645B/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH05172516A (en) * | 1991-12-24 | 1993-07-09 | Hitachi Zosen Corp | Apparatus and method for automatically measuring position and attitude of moving body |
CN101629807A (en) * | 2009-08-20 | 2010-01-20 | 中国矿业大学(北京) | Position and attitude parameter measurement system of machine body of boring machine and method thereof |
CN102878976A (en) * | 2012-09-26 | 2013-01-16 | 三一重型装备有限公司 | Heading machine position and posture detecting system and heading machine |
CN103791889A (en) * | 2014-01-14 | 2014-05-14 | 南京航空航天大学 | Cross structure light assisted monocular vision pose measurement method |
CN105241444A (en) * | 2015-09-19 | 2016-01-13 | 中国煤炭科工集团太原研究院有限公司 | Automatic boom road-header space pose detection system and measurement method thereof |
Cited By (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106761738A (en) * | 2016-12-15 | 2017-05-31 | 中国矿业大学 | The boom-type roadheader and method in cut path can be automatically planned based on machine vision |
CN106840137A (en) * | 2016-12-28 | 2017-06-13 | 中国煤炭科工集团太原研究院有限公司 | A kind of four-point development machine is automatically positioned orientation method |
CN106839990A (en) * | 2017-04-05 | 2017-06-13 | 中国矿业大学 | A kind of colliery laser facula coordinate detecting device and method |
CN107014379B (en) * | 2017-05-25 | 2019-09-20 | 中国矿业大学 | A kind of development machine absolute space apparatus for detecting position and posture and method |
CN107014379A (en) * | 2017-05-25 | 2017-08-04 | 中国矿业大学 | A kind of development machine absolute space apparatus for detecting position and posture and method |
WO2018214730A1 (en) * | 2017-05-25 | 2018-11-29 | 中国矿业大学 | Device and method for detecting absolute spatial orientation of roadheader |
WO2018214988A1 (en) * | 2017-05-25 | 2018-11-29 | 中国矿业大学 | Boring machine absolute spatial position detection apparatus and method |
CN107316288A (en) * | 2017-06-13 | 2017-11-03 | 西安科技大学 | A kind of boom-type roadheader cutterhead pose vision measuring method |
CN107316288B (en) * | 2017-06-13 | 2018-06-29 | 西安科技大学 | A kind of boom-type roadheader cutterhead pose vision measuring method |
CN107741200A (en) * | 2017-11-15 | 2018-02-27 | 西安科技大学 | Two planar lasers for boom-type roadheader are to penetrating pose measurement system and method |
CN108564628A (en) * | 2018-04-17 | 2018-09-21 | 北京理工大学 | A kind of cutterhead vision positioning orientation system towards development machine automation |
CN108564628B (en) * | 2018-04-17 | 2023-05-26 | 北京理工大学 | Cutting head vision positioning and orientation system for heading machine automation |
CN109115173A (en) * | 2018-08-23 | 2019-01-01 | 西安科技大学 | Machine body of boring machine pose monocular vision measurement method based on straight line location model |
CN109115172A (en) * | 2018-08-23 | 2019-01-01 | 西安科技大学 | Coalcutter fuselage position and posture detection method based on machine vision |
CN109115173B (en) * | 2018-08-23 | 2020-09-11 | 西安科技大学 | Monocular vision measuring method for position and attitude of heading machine body based on linear positioning model |
CN109579831A (en) * | 2018-11-09 | 2019-04-05 | 西安科技大学 | Mining boom-type roadheader visualization auxiliary guidance method and system |
CN109579831B (en) * | 2018-11-09 | 2020-05-19 | 西安科技大学 | Visual auxiliary guide method and system for mining boom-type roadheader |
CN109696126A (en) * | 2019-02-27 | 2019-04-30 | 中国矿业大学(北京) | The system for measuring heading machine pose |
CN110532995B (en) * | 2019-09-04 | 2020-08-21 | 精英数智科技股份有限公司 | Roadway excavation monitoring method, device and system based on computer vision |
CN110532995A (en) * | 2019-09-04 | 2019-12-03 | 精英数智科技股份有限公司 | Tunnelling monitoring method based on computer vision, apparatus and system |
CN110736446A (en) * | 2019-10-28 | 2020-01-31 | 西安电子科技大学 | boom-type roadheader pose identification system and method |
CN110736446B (en) * | 2019-10-28 | 2021-11-30 | 西安电子科技大学 | Pose identification system and method for cantilever type heading machine |
CN111197982A (en) * | 2020-01-10 | 2020-05-26 | 北京航天众信科技有限公司 | Heading machine pose deviation rectifying method, system and terminal based on vision and strapdown inertial navigation |
CN111780748A (en) * | 2020-05-16 | 2020-10-16 | 北京航天众信科技有限公司 | Heading machine pose deviation rectifying method and system based on binocular vision and strapdown inertial navigation |
CN112050732A (en) * | 2020-08-21 | 2020-12-08 | 西安科技大学 | Method and system for automatically detecting spatial pose of cantilever type heading machine |
CN112557072A (en) * | 2020-11-12 | 2021-03-26 | 中国煤炭科工集团太原研究院有限公司 | Method and device for calibrating spatial degree of freedom of cantilever of excavating equipment |
CN113063362A (en) * | 2021-04-07 | 2021-07-02 | 湖南凌翔磁浮科技有限责任公司 | Non-contact type maglev train bogie spacing detection method |
CN113063362B (en) * | 2021-04-07 | 2023-05-09 | 湖南凌翔磁浮科技有限责任公司 | Non-contact type magnetic levitation train bogie interval detection method |
CN117579790A (en) * | 2024-01-16 | 2024-02-20 | 金钱猫科技股份有限公司 | Construction site monitoring method and terminal |
CN117579790B (en) * | 2024-01-16 | 2024-03-22 | 金钱猫科技股份有限公司 | Construction site monitoring method and terminal |
Also Published As
Publication number | Publication date |
---|---|
CN106052645B (en) | 2018-08-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106052645A (en) | Real-time detection system and method for spatial pose of boom-type roadheader | |
CN105115499B (en) | Guidance system and localization method applied to Double shield TBM | |
CN109753081B (en) | Roadway inspection unmanned aerial vehicle system based on machine vision and navigation method | |
CA2526105C (en) | Image display method and image display apparatus | |
CN110736446B (en) | Pose identification system and method for cantilever type heading machine | |
CN109579831A (en) | Mining boom-type roadheader visualization auxiliary guidance method and system | |
CN103076005B (en) | Optical imaging method integrating three-dimensional mapping and broad width imaging | |
CN101813465B (en) | Monocular vision measuring method of non-contact precision measuring corner | |
CN104457719B (en) | The attitude measuring of class rectangular shield construction and measuring method | |
CN105136134A (en) | Heading machine position and posture detection and adjustment method and system | |
CN105302151A (en) | Aircraft docking guidance and type recognition system and method | |
CN102829769B (en) | Method for measuring container position and state on basis of structured light visual sensor | |
CN105974940A (en) | Target tracking method applicable to aircraft | |
CN104142145B (en) | Big cross section rectangular top pipe method for automatic measurement and device | |
CN109325390B (en) | Positioning method and system based on combination of map and multi-sensor detection | |
CN111536955B (en) | Heading machine pose detection system and method based on V-shaped laser target image recognition | |
CN108564628A (en) | A kind of cutterhead vision positioning orientation system towards development machine automation | |
CN106646498B (en) | A kind of development machine lateral shift measurement method | |
CN110439570A (en) | A kind of digging control method, digging control device and development machine | |
CN109238137B (en) | Arch frame positioning system and method based on arch frame installing machine for tunnel construction | |
Mao et al. | Virtual laser target board for alignment control and machine guidance in tunnel-boring operations | |
Si et al. | A novel positioning method of anti-punching drilling robot based on the fusion of multi-IMUs and visual image | |
CN111780748B (en) | Heading machine pose deviation rectifying method and system based on binocular vision and strapdown inertial navigation | |
CN106023066A (en) | 4-path borehole wall video cylinder panoramic image generation method and device | |
CN116704019A (en) | Drilling and anchoring robot monocular vision positioning method based on anchor rod network |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
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: 20180824 |