CN109839109A - The absolute position and posture detection method of development machine based on image recognition and Multi-sensor Fusion - Google Patents

The absolute position and posture detection method of development machine based on image recognition and Multi-sensor Fusion Download PDF

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CN109839109A
CN109839109A CN201910139486.XA CN201910139486A CN109839109A CN 109839109 A CN109839109 A CN 109839109A CN 201910139486 A CN201910139486 A CN 201910139486A CN 109839109 A CN109839109 A CN 109839109A
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gyroscope
development machine
video camera
working face
measured
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CN109839109B (en
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于月森
刘天宁
张亚男
黄煜茹
张吉阳
吕晓彬
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China University of Mining and Technology CUMT
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China University of Mining and Technology CUMT
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Abstract

The present invention proposes the absolute position and posture detection method of development machine based on image recognition and Multi-sensor Fusion, and this method installs laser indicator lamp on machine body of boring machine, and laser indicator lamp projects target pattern on working face;Video camera is installed in the left and right driving arm and fuselage of development machine, three video cameras acquire target pattern simultaneously;Gyroscope is installed respectively at the left and right driving arm of development machine and fuselage center, gyroscope acquires three axis angular rates and rotation amount under local Coordinate System;The displacement that displacement sensor acquisition development machine is displaced to working face is installed in development machine electric cabinet;According to acquisition data, the equivalent constraint equation of pixel coordinate of the same characteristic point in the left and right imaging plane of stereo camera, the three-dimensional coordinate of real-time resolving characteristic point are established, and then realizes positioning of the fuselage in work space of planes.

Description

The absolute position and posture detection method of development machine based on image recognition and Multi-sensor Fusion
Technical field
The present invention relates to mine down-hole boom-type roadheader pose detection technique fields, especially a kind of to be based on image recognition With the absolute position and posture detection method of development machine of Multi-sensor Fusion.
Background technique
With the raising of mining mechanization level, the standard that exploitation has become relevant enterprise is carried out using boom-type roadheader Production method.Under current nation-building digital mine, the call for promoting dangerous production environment unmanned, in recent years, part Coal mine starts to draw using vibration and the vibration of temperature sensor detection development machine and temperature parameter using laser sensor and video Face instructs surface personnel to operate underground development machine, although time of staff into a line operation can be reduced Number, but the degree of automation is lower.Some researchs resolve multiple using multi-sensor collection displacement, posture information, embedded system Miscellaneous equation solution pose improves the degree of automation, but due to sensing data there are error and data volume causes greatly accurately It spends low.Therefore, it designs a set of development machine intelligent positioning detection method suitable for mine environment to be necessary, with computer graphic As the promotion of identification technology, the biggish manless working face of data volume is more and more to obtain target information using image recognition.In view of The complex environment of coal mining development machine working face can be increased accurately using the method that image recognition and multisensor blend Property and stability, meet the requirement of modern Mine digitalization development.
Summary of the invention
Goal of the invention: it is an object of the invention to propose a set of development machine intelligent positioning detection side suitable for mine environment Method.
Technical solution: to achieve the above object, the present invention proposes following technical scheme:
The absolute position and posture detection method of development machine based on image recognition and Multi-sensor Fusion, comprising steps of
(1) defining the face that development machine to be excavated is working face;Machine body of boring machine towards working face one side center Place's installation laser indicator lamp, laser indicator lamp project target pattern on working face;Development machine left driving arm towards work Make that left video camera is installed in the one side in face, right video camera, left and right video camera are installed in one side of the right driving arm towards working face Target pattern on collecting work face simultaneously;Displacement sensor is installed in development machine electric cabinet, displacement sensor is for acquiring The displacement that development machine is displaced to working face in unit time;Pacify respectively at the left and right driving arm of development machine and fuselage center Gyroscope is filled, three gyroscopes export three axis angular rates and rotation amount under local Coordinate System respectively;
(2) some pixel in cruciform pattern is chosen as characteristic point;Characteristic point is calculated separately in left and right video camera Pixel coordinate in imaging plane;
(3) characteristic point is established in the equivalent constraint equation of left and right camera coordinate system:
AX=0
X=[x x ']
Wherein, A is characterized the homogeneous coordinates matrix a little in left video camera imaging coordinate system, and x is characterized a little in left camera shooting Pixel coordinate in machine imaging plane, x ' are characterized the pixel coordinate a little in the right imaging plane of video camera, and p is left video camera Projection matrix, p ' are the projection matrix of right video camera;
(4) it is calculated according to characteristic point in the equivalent constraint equation of left and right camera coordinate system:
Wherein, B indicates that coordinate of the characteristic point in machine body of boring machine coordinate system, θ are left and right video camera photographing lens axis Between deflection angle;
(5) development machine is calculated separately where three gyroscopes according to the measurement result of displacement sensor and three gyroscopes Posture equation at position, wherein the posture Equation f at i-th of gyroscope are as follows:
Wherein, Δ y is the displacement that development machine is displaced to working face in the unit time of displacement sensor out, miFor The measurement result vector of i-th of gyroscope, mi=[m1, m2, m3, m4, m5, m6, m7], m1The angle speed of x-axis rotation is measured for gyroscope Degree, m2The angular speed of y-axis rotation, m are measured for gyroscope3The angular speed of z-axis rotation, m are measured for gyroscope4It is measured for gyroscope Component of the rotation amount vector section in x-axis, m5Rotation amount vector section is measured in the component of y-axis, m for gyroscope6For gyroscope survey Obtain component of the rotation amount vector section in z-axis, m7Rotation amount scalar, τ are measured for gyroscopeiTime for i-th of gyroscope is normal Number, TsFor the preset gyroscope sampling period.
Further, the left and right video camera is Mine-used I. S video camera.
Further, three gyroscopes are contained in mine explosion-suppression case.
The utility model has the advantages that compared with prior art, present invention has the advantage that
1, the absolute pose of real-time resolving coalcutter is combined using image, displacement and acceleration information, compares traditional sensors Perception increases accuracy and stability, meets the requirement of modern Mine digitalization development.
2, the camera angles evaluation method based on polynomial fitting is designed, opposite deflection angle is selected to possess video camera most It is big to be overlapped the visual field, and then three, fuselage reconstruct is made to possess biggish dynamic range.
Specific embodiment
The present invention will be further explained combined with specific embodiments below.
The present embodiment uses following hardware device: three Mine-used I. S video cameras, Cross hair laser indicator light, one Platform displacement sensor, three electronic gyroscopes, hardware device are provided with wireless communication function, the data of acquisition are periodically passed through nothing Gauze network passes to background computer;Three Mine-used I. S video cameras be separately mounted on the left and right driving arm of development machine with And mouth is transported at rear, acquires image with the rate of 30 frame per second;Cross hair laser indicator light is installed on development machine anteriomedial position It sets;Displacement sensor is mounted in development machine electric cabinet, every 1s transmission primaries displacement signal.Three electronic gyroscopes are sealed in In mine explosion-suppression case, wherein two are separately mounted on the left and right driving arm of development machine, another is mounted on the several of machine body of boring machine What center.
Workflow of the invention is as follows:
(1) the note face to be excavated of development machine is working face;In machine body of boring machine towards at the center of the one side of working face Cross hair laser indicator light is installed, Cross hair laser indicator light projects cruciform pattern on working face;Development machine or so two The cruciform pattern on video camera while collecting work face on arm;Displacement sensor in development machine electric cabinet acquires development machine The displacement being displaced to working face;Local Coordinate System is acquired respectively in two gyroscopes for tunneling arm and fuselage center of development machine Under 3-axis acceleration and attitude quaternion;
(2) after background computer receives acquisition data, following steps are executed:
(2-1) chooses some pixel in cruciform pattern as characteristic point;Characteristic point is calculated separately in left and right camera shooting Pixel coordinate in machine imaging plane;
(2-2) establishes characteristic point in the equivalent constraint equation of left and right camera coordinate system:
AX=0
X=[x x ']
Wherein, A is characterized the homogeneous coordinates matrix a little in left video camera imaging coordinate system, and x is characterized a little in left camera shooting Pixel coordinate in machine imaging plane, x ' are characterized the pixel coordinate a little in the right imaging plane of video camera, and p is left video camera Projection matrix, p ' are the projection matrix of right video camera;
(2-3), in the equivalent constraint equation of left and right camera coordinate system, is calculated according to characteristic point:
And then it calculates:
Wherein, wherein B indicates that coordinate of the characteristic point in machine body of boring machine coordinate system, θ are that left and right video camera shoots mirror Deflection angle between head axis;
(2-4) calculates the posture Equation f of development machine according to the measurement result of displacement sensor and three gyroscopes:
Wherein, Δ y is the displacement that development machine is displaced to working face in the unit time of displacement sensor out, miFor The measurement result vector of i-th of gyroscope, mi=[m1, m2, m3, m4, m5, m6, m7], m1The angle speed of x-axis rotation is measured for gyroscope Degree, m2The angular speed of y-axis rotation, m are measured for gyroscope3The angular speed of z-axis rotation, m are measured for gyroscope4It is measured for gyroscope Component of the rotation amount vector section in x-axis, m5Rotation amount vector section is measured in the component of y-axis, m for gyroscope6For gyroscope survey Obtain component of the rotation amount vector section in z-axis, m7Rotation amount scalar, τ are measured for gyroscopeiTime for i-th of gyroscope is normal Number, TsFor the preset gyroscope sampling period.
The above is only a preferred embodiment of the present invention, it should be pointed out that: for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (3)

1. the absolute position and posture detection method of development machine based on image recognition and Multi-sensor Fusion, which is characterized in that comprising steps of
(1) defining the face that development machine to be excavated is working face;Pacify in machine body of boring machine towards at the center of the one side of working face Laser indicator lamp is filled, laser indicator lamp projects target pattern on working face;Development machine left driving arm towards working face One side on left video camera is installed, right video camera is installed in right one side of the driving arm towards working face, left and right video camera is simultaneously Target pattern on collecting work face;Displacement sensor is installed in development machine electric cabinet, displacement sensor is used for acquisition units The displacement that development machine is displaced to working face in time;Top is installed respectively at the left and right driving arm of development machine and fuselage center Spiral shell instrument, three gyroscopes export three axis angular rates and rotation amount under local Coordinate System respectively;
(2) some pixel in target pattern is chosen as characteristic point;It is flat in left and right video camera imaging to calculate separately characteristic point Pixel coordinate in face;
(3) characteristic point is established in the equivalent constraint equation of left and right camera coordinate system:
AX=0
X=[x x ']
Wherein, A is characterized the homogeneous coordinates matrix a little in left video camera imaging coordinate system, x be characterized a little left video camera at As the pixel coordinate in plane, x ' is characterized the pixel coordinate a little in the right imaging plane of video camera, and p is the projection of left video camera Matrix, p ' are the projection matrix of right video camera;
(4) it is calculated according to characteristic point in the equivalent constraint equation of left and right camera coordinate system:
Wherein, B indicates coordinate of the characteristic point in machine body of boring machine coordinate system, and θ is between left and right video camera photographing lens axis Deflection angle;
(5) development machine is calculated separately three gyroscope positions according to the measurement result of displacement sensor and three gyroscopes The posture equation at place, wherein the posture Equation f at i-th of gyroscope are as follows:
Wherein, Δ y is the displacement that development machine is displaced to working face in the unit time of displacement sensor out, miIt is i-th The measurement result vector of gyroscope, mi=[m1, m2, m3, m4, m5, m6, m7], m1The angular speed of x-axis rotation, m are measured for gyroscope2 The angular speed of y-axis rotation, m are measured for gyroscope3The angular speed of z-axis rotation, m are measured for gyroscope4Rotation amount is measured for gyroscope Component of the vector section in x-axis, m5Rotation amount vector section is measured in the component of y-axis, m for gyroscope6Rotation is measured for gyroscope Measure component of the vector section in z-axis, m7Rotation amount scalar, τ are measured for gyroscopeiFor the time constant of i-th of gyroscope, TsFor The preset gyroscope sampling period.
2. the absolute position and posture detection method of the development machine according to claim 1 based on image recognition and Multi-sensor Fusion, It is characterized in that, the left and right video camera is Mine-used I. S video camera.
3. the absolute position and posture detection method of the development machine according to claim 1 based on image recognition and Multi-sensor Fusion, It is characterized in that, three gyroscopes are contained in mine explosion-suppression case.
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