CN109186549A - A kind of Iron tower incline angle measurement method of view-based access control model - Google Patents

A kind of Iron tower incline angle measurement method of view-based access control model Download PDF

Info

Publication number
CN109186549A
CN109186549A CN201811259077.5A CN201811259077A CN109186549A CN 109186549 A CN109186549 A CN 109186549A CN 201811259077 A CN201811259077 A CN 201811259077A CN 109186549 A CN109186549 A CN 109186549A
Authority
CN
China
Prior art keywords
camera
steel tower
angle
point
binocular
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811259077.5A
Other languages
Chinese (zh)
Inventor
王孝余
李丹丹
尚方
刘生
宋杭选
龙学军
罗军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Heilongjiang Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Heilongjiang Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Heilongjiang Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201811259077.5A priority Critical patent/CN109186549A/en
Publication of CN109186549A publication Critical patent/CN109186549A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C9/00Measuring inclination, e.g. by clinometers, by levels

Abstract

A kind of Iron tower incline angle measurement method of view-based access control model, the present invention relates to the Iron tower incline angle measurement methods of view-based access control model.The present invention solves the problems such as existing method measurement efficiency is low, at high cost and cumbersome.The present invention includes: the left and right two images in binocular solid camera acquisition steel tower fair line direction;Detect the four points of connection P1, P2, P3, P4 of steel tower and insulator chain in left figure;Calculate three-dimensional coordinate of the four points of connection in camera coordinates system;Calculate the midpoint P6 of the midpoint P5 and P3 and P4 of P1 and P2;Steel tower is calculated in the inclined angle alpha 1 in fair line direction and the inclined angle alpha 2 of crossline direction;Camera is calculated at the inclination angle in fair line directionWith the tiltangleθ of crossline direction;It is practical in the angle of inclination beta 1 in sequence direction and the angle of inclination beta 2 of crossline direction to calculate steel tower.The present invention is used for Iron tower incline angle measurement field.

Description

A kind of Iron tower incline angle measurement method of view-based access control model
Technical field
The present invention relates to field of visual inspection, and in particular to a kind of Iron tower incline angle measurement method of view-based access control model.
Background technique
In order to protect grid equipment, the existing Iron tower incline angle measurement method of electric system includes:
1. installing the similar angular transducer such as twin shaft angular transducer on steel tower to measure;
a.https://wenku.baidu.com/view/53f7ccfd04a1b0717fd5dd1a.html
B. publication number CN103162667B
2. being measured using dipper system;
A. the wide scope electric power tower high-precision deformation monitoring method based on dipper system (application number: 201611104114.6)
b.http://blog.sina.com.cn/s/blog_862741e10102whcp.html
3. ground uses theodolite, three-dimensional laser scanner measurement.
4. using the mark for thinking design on unmanned plane measurement steel tower:
A kind of Iron tower incline angle method for automatic measurement (application number: 201710625285.1) based on NI Vision Builder for Automated Inspection
Method 1 and method 2 need to dispose equipment, calibrate, lead to by the way of installing measuring device on steel tower The complex operations such as letter, and need repeatedly to safeguard equipment in steel tower normal use, it has not only consumed biggish manpower but also has had Bigger risk.Method 3, ground carry out manual measurement, and expensive equipment is cumbersome, and measurement efficiency is low.Method 4, unmanned plane Mode efficiency is higher, but needs first to install measurement mark on steel tower, and unmanned plane breasts the tape risk to sum up in flight course, existing With the presence of based on machine vision method carry out transmission pole tilt detection method measurement efficiency it is low, it is at high cost and operation it is numerous It is the problems such as trivial, improved day by day with artificial intelligence technology, computer vision technique as artificial intelligence a branch close Year also obtains development at full speed, and intelligent status monitoring is a ring important in electric system now, efficient monitoring and protecting electricity Net equipment has urgent demand in electric system.
Summary of the invention
The purpose of the present invention is to solve existing method measurement efficiencies it is low, at high cost and cumbersome the problems such as, and It is proposed a kind of Iron tower incline angle measurement method of view-based access control model.
A kind of Iron tower incline angle measurement method of view-based access control model, with the development of national economy, electric power, communication network Area coverage is more and more wider, has largely used steel tower in electric power transmission line and communication line, such as high voltage electric power line steel tower, communication Base station iron tower etc..Steel tower plays the important function of bridge bridge joint in the covering of electric power transmission line and communication network.But Due to some natural calamities (such as sleet, strong wind) and coal mining, engineering construction, artificial destruction etc., tower body is caused The case where inclination, happens occasionally.Tower body inclination often will cause transmission line of electricity and communication network interrupts, serious to cause down tower Event.These normal works all by safe operation and communication network to power transmission network cause great threat, give people's lives and properties Bring loss.Therefore the rapid survey of Iron tower incline angle is particularly important.The Iron tower incline angle of the view-based access control model Spend measurement method the following steps are included:
Step 1: binocular solid camera acquires the left and right two images in steel tower fair line direction, while recording adding for current time Measurement of velocity magnitude;Wherein, left and right two images refer to that the image of the left camera shooting of binocular camera and the right camera of binocular camera are clapped The image taken the photograph, and the image of the left camera shooting of binocular camera is referred to as left figure, by the image letter of the right camera shooting of binocular camera Referred to as right figure;It is called fair line direction along the direction of electric wire on shaft tower, direction normal thereto and parallel to the ground is called horizontal line Direction;
Step 2: the four points of connection of steel tower and insulator chain in left figure is detected using deep learning object detection method P1, P2, P3 and P4;
Step 3: calculating in step 2 four points of connection in camera coordinates system using binocular vision solid matching method Three-dimensional coordinate: P1 (x1,y1,z1)、P2(x2,y2,z2)、P3(x3,y3,z3)、P4(x4,y4,z4);
Step 301: centered on Pi point in left figure, determine a pixel region, the i=1,2,3,4;
Step 302: in the right figure set with the same line position of left figure midpoint Pi (u, v), using at NCC method calculating with point Pi (u, v) corresponding match point Qi (u-d, v), and the parallax d of invocation point Pi and point Qi, point Qi are corresponding points of the point Pi in right figure; Wherein, u indicates to be used for the abscissa that NCC method calculates set left figure midpoint Pi, and v indicates set for the calculating of NCC method The ordinate of left figure midpoint Pi, NCC method are common methods in images match field, are referred to by calculating two vector similitudes Indicate the image matching algorithm of image similarity;
Step 303: calculating depth zi=(b*fx)/d of point Pi, wherein fx is the focal length of camera, and b is the base of binocular camera Line length;
Step 304: being calculate by the following formula the abscissa xi and ordinate yi, xi=zi* (u-cx)/fx, yi=zi* of Pi point (v-cy)/fy;Wherein, fx, fy, cx, cy are camera internal references, and fx, fy are the focal length of camera, and cx, cy are main melatope coordinate, The generally center of image is determined by binocular calibration;
Step 4: calculating the midpoint P5 (x between tie point P1 and P25,y5,z5) and tie point P3 and P4 between in Point P6 (x6,y6,z6);
Step 5: the three-dimensional coordinate of the point P5 and P6 that are obtained according to step 4 calculate steel tower in 1 He of inclined angle alpha in fair line direction The inclined angle alpha 2 of crossline direction: utilizing camera coordinates system, calculates the Y axis coordinate difference of midpoint P6 and P5 and the ratio of Z axis coordinate difference, Inclined angle alpha 1 using the arctan function of the two ratio as steel tower in fair line direction again:
α 1=arctan ((y6-y5)/(z6-z5))
Using camera coordinates system, the X axis coordinate difference of midpoint P6 and P5 and the ratio of Z axis coordinate difference are calculated, then by the two ratio Inclined angle alpha 2 of the arctan function of value as steel tower in crossline direction, calculation formula are as follows:
α 2=arctan ((x6-x5)/(z6-z5)).
Step 6: acceleration measurement Δ x, Δ y, the Δ z of three axis of the accelerometer measures recorded using step 1, Camera coordinates system, calculates the ratio of acceleration analysis of the accelerometer in Y-axis with the acceleration analysis in Z axis, then by ratio Arctan function as camera fair line direction inclination angle
In camera coordinates system, the ratio of the accelerometer acceleration analysis in X-axis and the acceleration analysis in Z axis is calculated, Again using the arctan function of ratio as camera crossline direction tiltangleθ:
θ=arctan (- Δ x/ Δ z);
Step 7: the value being calculated according to step 5 and step 6, inclined angle alpha 1 and camera by steel tower in fair line direction exist The inclination angle in fair line directionDifference as the practical angle of inclination beta 1 in sequence direction of steel tower, calculation formula are as follows:
Inclined angle alpha 2 and camera using steel tower in crossline direction exist in the sum of the tiltangleθ of crossline direction as steel tower reality The angle of inclination beta 2 of crossline direction, calculation formula are as follows:
β 2=α 2+ θ.
The invention has the benefit that
The present invention gives a kind of Iron tower incline angle measurement method of view-based access control model, this method is based on binocular tri-dimensional Feel, deep learning target detection and accelerometer, the present invention acquire the left and right two in steel tower fair line direction using binocular solid camera Width image, while after recording the acceleration measuring magnitude at current time, left figure is detected using deep learning object detection method The four points of connection P1, P2, P3, P4 of upper steel tower and insulator chain;Four companies are calculated using binocular vision solid matching method The three-dimensional coordinate P1 (x1, y1, z1) of contact, P2 (x2, y2, z2), P3 (x3, y3, z3), P4 (x4, y4, z5);Calculate P1 and P2 Midpoint P5 (x5, y5, z5), calculate P3 and P4 midpoint P6 (x6, y6, z6);Steel tower is calculated according to the three-dimensional coordinate of P5 and P6 In the inclined angle alpha 1 in fair line direction and the inclined angle alpha 2 of crossline direction;The accelerometer of usage record calculates camera in fair line direction Inclination angleWith the tiltangleθ of crossline direction;Calculate the practical inclination angle in sequence direction of steel towerAnd crossline direction Angle of inclination beta 2=α 2+ θ.
The present invention realizes electric power tower tilt angle intellectualized detection, without manually, improving the operation of staff Safety.The present invention utilizes binocular stereo vision, deep learning object detection method and accelerometer, has calculating process simple The advantages of, it is only necessary to Iron tower incline angle can be calculated by acquiring a steel tower picture, not only reduce measurement working strength, simultaneously Measurement efficiency is improved, measurement cost is reduced.
Detailed description of the invention
Fig. 1 is key point schematic diagram.1,2,3,4,5,6 be respectively tie point P1, P2, P3, P4, P5, P6, i.e. key in figure Point, 7 be insulator chain, and 8 be steel tower tower body;
Fig. 2 is flow chart of the method for the present invention.
Specific embodiment
Specific embodiment 1:
A kind of Iron tower incline angle measurement method of view-based access control model of present embodiment, is realized by following steps:
Step 1: binocular solid camera acquires the left and right two images in steel tower fair line direction, while recording adding for current time Measurement of velocity magnitude;Wherein, left and right two images refer to that the image of the left camera shooting of binocular camera and the right camera of binocular camera are clapped The image taken the photograph, and the image of the left camera shooting of binocular camera is referred to as left figure, by the image letter of the right camera shooting of binocular camera Referred to as right figure;It is called fair line direction along the direction of electric wire on shaft tower, direction normal thereto and parallel to the ground is called horizontal line Direction.
Step 2: detecting steel tower in left figure (number designation is 8 in figure) and insulation using deep learning object detection method Four points of connection P1, P2, P3 and P4 of substring (number designation is 7 in figure);That is four key points in Fig. 1, number designation point It Wei 1,2,3,4;
Step 3: calculating in step 2 four points of connection in camera coordinates system using binocular vision solid matching method Three-dimensional coordinate: P1 (x1,y1,z1)、P2(x2,y2,z2)、P3(x3,y3,z3)、P4(x4,y4,z4);In camera coordinates system, x is phase The left side of machine, y are camera direction directed downwardly, and z is directed toward the direction of camera alignment;
Step 4: calculating the midpoint P5 (x between tie point P1 and P25,y5,z5) (number designation is 5 in figure), and connection Midpoint P6 (x between point P3 and P46,y6,z6) (number designation is 6 in figure):
x5=(x1+x2)/2, y5=(y1+y2)/2, z5=(z1+z2)/2,
x6=(x3+x4)/2, y6=(y3+y4)/2, z6=(z3+z4)/2。
Step 5: the three-dimensional coordinate of the point P5 and P6 that are obtained according to step 4 calculate steel tower in 1 He of inclined angle alpha in fair line direction The inclined angle alpha 2 of crossline direction uses camera coordinates system in calculating process;
Step 6: coordinate of the acceleration measuring magnitude recorded using step 1 in camera coordinates system calculates camera in fair line The inclination angle in directionWith the tiltangleθ of crossline direction, camera coordinates system is used in calculating process;
Step 7: it is practical in the angle of inclination beta 1 in sequence direction and inclining for crossline direction that steel tower being calculated according to step 5 and step 6 Oblique angle β 2.
Specific embodiment 2:
The present embodiment is different from the first embodiment in that: deep learning target detection side is used in the step 2 Method detects the detailed process of four points of connection P1, P2, P3 and P4 of steel tower and insulator chain in left figure are as follows:
Step 201: acquisition steel tower image data;
Step 202: the four points of connection of artificial label steel tower and insulator chain;
Step 203: generating final deep neural network model using deep learning neural network and nominal data training; Wherein, deep learning neural network is SSD or YOLO3;
Step 204: in the deep neural network model that left figure input step 203 is generated, output four points of connection P1, P2, P3 and P4;Tie point P1, P2, P3 and P4 be in four key points.
Other steps and parameter are same as the specific embodiment one.
Specific embodiment 3:
The present embodiment is different from the first and the second embodiment in that: binocular vision three-dimensional is used in the step 3 Method of completing the square calculates three-dimensional coordinate of the four points of connection in camera coordinates system in step 2: P1 (x1,y1,z1)、P2(x2,y2, z2)、P3(x3,y3,z3)、P4(x4,y4,z4), detailed process are as follows:
Step 301: centered on Pi point in left figure, determine a pixel region, the i=1,2,3,4;The pixel Region is the window of 21x21 pixel;
Step 302: in the right figure set with the same line position of left figure midpoint Pi (u, v), using at NCC method calculating with point Pi (u, v) corresponding match point Qi (u-d, v), and the parallax d of invocation point Pi and point Qi, point Qi are corresponding points of the point Pi in right figure; Wherein, u indicates to be used for the abscissa that NCC method calculates set left figure midpoint Pi, and v indicates set for the calculating of NCC method The ordinate of left figure midpoint Pi, NCC method are common methods in images match field, are referred to by calculating two vector similitudes Indicate the image matching algorithm of image similarity;
Step 303: calculating depth zi=(b*fx)/d of point Pi, wherein fx is the focal length of camera, and b is the base of binocular camera Line length;
Step 304: it is calculate by the following formula the abscissa xi and ordinate yi of Pi point:
Xi=zi* (u-cx)/fx, yi=zi* (v-cy)/fy,
Wherein, fx, fy, cx, cy are camera internal references, and fx, fy are the focal length of camera, and cx, cy are main melatope coordinate, one As be image center, pass through binocular calibration determine.
Other steps and parameter are the same as one or two specific embodiments.
Specific embodiment 4:
Unlike one of present embodiment and specific embodiment one to three: being obtained in the step 5 according to step 4 The three-dimensional coordinate of point P5 and P6 calculates steel tower in the inclined angle alpha 1 in fair line direction and the inclined angle alpha 2 of crossline direction, specifically:
Using camera coordinates system, the Y axis coordinate difference of midpoint P6 and P5 and the ratio of Z axis coordinate difference are calculated, then by the two ratio Inclined angle alpha 1 of the arctan function of value as steel tower in fair line direction, calculation formula are as follows:
α 1=arctan ((y6-y5)/(z6-z5))
Using camera coordinates system, the X axis coordinate difference of midpoint P6 and P5 and the ratio of Z axis coordinate difference are calculated, then by the two ratio Inclined angle alpha 2 of the arctan function of value as steel tower in crossline direction, calculation formula are as follows:
α 2=arctan ((x6-x5)/(z6-z5)).
Other steps and parameter are identical as one of specific embodiment one to three.
Specific embodiment 5:
Unlike one of present embodiment and specific embodiment one to four: being recorded in the step 6 using step 1 Coordinate of the acceleration measuring magnitude in camera coordinates system calculates camera at the inclination angle in fair line directionWith inclining for crossline direction Bevel angle θ, specifically:
Using camera coordinates system, the ratio of the accelerometer acceleration analysis in Y-axis and the acceleration analysis in Z axis is calculated Value, then using the arctan function of ratio as camera fair line direction inclination angleWherein, Δ x, Δ y, Δ z are in step 1 Binocular solid camera acquires the accelerometer recorded when the left and right two images in steel tower fair line direction and surveys in the acceleration of three axis Magnitude, calculation formula are as follows:
Using camera coordinates system, the ratio of the accelerometer acceleration analysis in X-axis and the acceleration analysis in Z axis is calculated Value, then using the arctan function of ratio as camera crossline direction tiltangleθ, wherein Δ x, Δ y, Δ z are in step 1 Binocular solid camera acquires the accelerometer recorded when the left and right two images in steel tower fair line direction and surveys in the acceleration of three axis Magnitude, calculation formula are as follows:
θ=arctan (- Δ x/ Δ z).
Other steps and parameter are identical as one of specific embodiment one to four.
Specific embodiment 6:
Unlike one of present embodiment and specific embodiment one to five, according to step 5 and step in the step 7 6 to calculate steel towers practical in the angle of inclination beta 1 in sequence direction and the angle of inclination beta 2 of crossline direction, specifically:
By steel tower fair line direction inclined angle alpha 1 and camera fair line direction inclination angleDifference as steel tower reality Angle of inclination beta 1 in sequence direction, calculation formula are as follows:
Inclined angle alpha 2 and camera using steel tower in crossline direction exist in the sum of the tiltangleθ of crossline direction as steel tower reality The angle of inclination beta 2 of crossline direction, calculation formula are as follows:
β 2=α 2+ θ.
Other steps and parameter are identical as one of specific embodiment one to five.
The present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, this field Technical staff makes various corresponding changes and modifications in accordance with the present invention, but these corresponding changes and modifications all should belong to The protection scope of the appended claims of the present invention.

Claims (6)

1. a kind of Iron tower incline angle measurement method of view-based access control model, it is characterised in that: the Iron tower incline angle of the view-based access control model Spend measurement method the following steps are included:
Step 1: binocular solid camera acquires the left and right two images in steel tower fair line direction, while recording the acceleration at current time Measure magnitude;Wherein, left and right two images refer to what the image of the left camera shooting of binocular camera and the right camera of binocular camera were shot Image, and the image of the left camera shooting of binocular camera is referred to as left figure, the image of the right camera shooting of binocular camera is referred to as Right figure;It is called fair line direction along the direction of electric wire on shaft tower, direction normal thereto and parallel to the ground is called crossline direction;
Step 2: using deep learning object detection method detect the four points of connection P1 of steel tower and insulator chain in left figure, P2, P3 and P4;
Step 3: calculating three-dimensional of the four points of connection in camera coordinates system in step 2 using binocular vision solid matching method Coordinate: P1 (x1,y1,z1)、P2(x2,y2,z2)、P3(x3,y3,z3)、P4(x4,y4,z4);
Step 4: calculating the midpoint P5 (x between tie point P1 and P25,y5,z5) and tie point P3 and P4 between midpoint P6 (x6,y6,z6);
Step 5: the three-dimensional coordinate of the point P5 and P6 that are obtained according to step 4 calculate steel tower in the inclined angle alpha 1 and horizontal line in fair line direction The inclined angle alpha 2 in direction uses camera coordinates system in calculating process;
Step 6: coordinate of the acceleration measuring magnitude recorded using step 1 in camera coordinates system calculates camera in fair line direction Inclination angleWith the tiltangleθ of crossline direction, camera coordinates system is used in calculating process;
Step 7: it is practical in the angle of inclination beta 1 in sequence direction and the angle of inclination beta of crossline direction that steel tower being calculated according to step 5 and step 6 2。
2. the Iron tower incline angle measurement method of a kind of view-based access control model according to claim 1, it is characterised in that: the step Four points of connection P1, P2, P3 and P4 of steel tower and insulator chain in left figure are detected in 2 using deep learning object detection method Detailed process are as follows:
Step 201: acquisition steel tower image data;
Step 202: the four points of connection of label steel tower and insulator chain;
Step 203: generating final deep neural network model using deep learning neural network and nominal data training;
Step 204: in the deep neural network model that left figure input step 203 is generated, exporting four points of connection P1, P2, P3 And P4.
3. a kind of Iron tower incline angle measurement method of view-based access control model according to claim 1 or claim 2, it is characterised in that: described Three-dimensional seat of the four points of connection in camera coordinates system in step 2 is calculated using binocular vision solid matching method in step 3 Mark: P1 (x1,y1,z1)、P2(x2,y2,z2)、P3(x3,y3,z3)、P4(x4,y4,z4) detailed process are as follows:
Step 301: centered on Pi point in left figure, determine a pixel region, the i=1,2,3,4;
Step 302: in the right figure set with the same line position of left figure midpoint Pi (u, v), calculating and the corresponding match point of point Pi (u, v) Qi (u-d, v), and the parallax d of invocation point Pi and point Qi, point Qi are corresponding points of the point Pi in right figure;Wherein, u indicates to be used for NCC Method calculates the abscissa of set left figure midpoint Pi, and v indicates the vertical seat that set left figure midpoint Pi is calculated for NCC method Mark;
Step 303: calculating depth zi=(b*fx)/d of point Pi, wherein fx is the focal length of camera, and b is the base length of binocular camera Degree;
Step 304: it is calculate by the following formula the abscissa xi and ordinate yi of Pi point:
Xi=zi* (u-cx)/fx, yi=zi* (v-cy)/fy,
Wherein, fx, fy, cx, cy are camera internal references, and fx, fy are the focal length of camera, and it is image that cx, cy, which are main melatope coordinate, Center, pass through binocular calibration determine.
4. the Iron tower incline angle measurement method of a kind of view-based access control model according to claim 3, it is characterised in that: the step The three-dimensional coordinate of the point P5 and P6 that are obtained in 5 according to step 4 calculates steel tower in the inclined angle alpha 1 and crossline direction in fair line direction Inclined angle alpha 2, specifically:
Using camera coordinates system, the Y axis coordinate difference of midpoint P6 and P5 and the ratio of Z axis coordinate difference are calculated, then by the two ratio Inclined angle alpha 1 of the arctan function as steel tower in fair line direction, calculation formula are as follows:
α 1=arctan ((y6-y5)/(z6-z5))
Using camera coordinates system, the X axis coordinate difference of midpoint P6 and P5 and the ratio of Z axis coordinate difference are calculated, then by the two ratio Inclined angle alpha 2 of the arctan function as steel tower in crossline direction, calculation formula are as follows:
α 2=arctan ((x6-x5)/(z6-z5)).
5. the Iron tower incline angle measurement method of a kind of view-based access control model according to claim 4, it is characterised in that: the step Coordinate of the acceleration measuring magnitude recorded in 6 using step 1 in camera coordinates system calculates camera in the inclination in fair line direction AngleWith the tiltangleθ of crossline direction specifically:
Using camera coordinates system, the ratio of the accelerometer acceleration analysis in Y-axis and the acceleration analysis in Z axis is calculated, then Using the arctan function of ratio as camera fair line direction inclination angleWherein, Δ x, Δ y, Δ z are that binocular is vertical in step 1 Body camera acquires acceleration measurement of the accelerometer recorded when the left and right two images in steel tower fair line direction in three axis, meter Calculate formula are as follows:
Using camera coordinates system, the ratio of the accelerometer acceleration analysis in X-axis and the acceleration analysis in Z axis is calculated, then Using the arctan function of ratio as camera crossline direction tiltangleθ, wherein Δ x, Δ y, Δ z are that binocular is vertical in step 1 Body camera acquires acceleration measurement of the accelerometer recorded when the left and right two images in steel tower fair line direction in three axis, meter Calculate formula are as follows:
θ=arctan (- Δ x/ Δ z).
6. the Iron tower incline angle measurement method of a kind of view-based access control model according to claim 5, it is characterised in that: the step Steel tower reality is calculated in the angle of inclination beta 1 in sequence direction and the angle of inclination beta 2 of crossline direction, specifically according to step 5 and step 6 in 7 Are as follows:
By steel tower fair line direction inclined angle alpha 1 and camera fair line direction inclination angleDifference it is practical suitable as steel tower The angle of inclination beta 1 in sequence direction, calculation formula are as follows:
Steel tower is practical in horizontal line as steel tower in the sum of the tiltangleθ of crossline direction in the inclined angle alpha 2 and camera of crossline direction The angle of inclination beta 2 in direction, calculation formula are as follows:
β 2=α 2+ θ.
CN201811259077.5A 2018-10-26 2018-10-26 A kind of Iron tower incline angle measurement method of view-based access control model Pending CN109186549A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811259077.5A CN109186549A (en) 2018-10-26 2018-10-26 A kind of Iron tower incline angle measurement method of view-based access control model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811259077.5A CN109186549A (en) 2018-10-26 2018-10-26 A kind of Iron tower incline angle measurement method of view-based access control model

Publications (1)

Publication Number Publication Date
CN109186549A true CN109186549A (en) 2019-01-11

Family

ID=64943840

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811259077.5A Pending CN109186549A (en) 2018-10-26 2018-10-26 A kind of Iron tower incline angle measurement method of view-based access control model

Country Status (1)

Country Link
CN (1) CN109186549A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109813509A (en) * 2019-01-14 2019-05-28 中山大学 The method that high-speed rail bridge vertically moves degree of disturbing measurement is realized based on unmanned plane
CN110595433A (en) * 2019-08-16 2019-12-20 太原理工大学 Binocular vision-based transmission tower inclination measurement method
CN111372044A (en) * 2020-02-27 2020-07-03 国网山西省电力公司晋城供电公司 System, method and device for inspecting transmission line in goaf
CN113358318A (en) * 2021-07-02 2021-09-07 中国空气动力研究与发展中心低速空气动力研究所 Cable collision detection method, device, equipment and storage medium

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102353351A (en) * 2011-06-28 2012-02-15 惠州Tcl移动通信有限公司 Lateral shooting angle detecting method, inclined shooting angle detecting method and mobile phone
CN102927940A (en) * 2012-10-31 2013-02-13 中国华录集团有限公司 Method for compensating infrared photography positioning by using acceleration sensor
CN104637080A (en) * 2013-11-07 2015-05-20 深圳先进技术研究院 Three-dimensional drawing system and three-dimensional drawing method based on human-computer interaction
CN105043350A (en) * 2015-06-25 2015-11-11 闽江学院 Binocular vision measuring method
CN105303564A (en) * 2015-09-28 2016-02-03 南京信息职业技术学院 Tower type crane load stereo pendulum angle vision detection method
US20160169680A1 (en) * 2014-12-10 2016-06-16 Samsung Electronics Co., Ltd. Method and Apparatus for Calculating Rotation Angle of Device
CN107462213A (en) * 2017-07-27 2017-12-12 国网山东省电力公司经济技术研究院 A kind of Iron tower incline angle method for automatic measurement based on NI Vision Builder for Automated Inspection
CN107747941A (en) * 2017-09-29 2018-03-02 歌尔股份有限公司 A kind of binocular visual positioning method, apparatus and system
CN107917701A (en) * 2017-12-28 2018-04-17 人加智能机器人技术(北京)有限公司 Measuring method and RGBD camera systems based on active binocular stereo vision
CN108171735A (en) * 2017-12-27 2018-06-15 清华大学 1,000,000,000 pixel video alignment schemes and system based on deep learning

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102353351A (en) * 2011-06-28 2012-02-15 惠州Tcl移动通信有限公司 Lateral shooting angle detecting method, inclined shooting angle detecting method and mobile phone
CN102927940A (en) * 2012-10-31 2013-02-13 中国华录集团有限公司 Method for compensating infrared photography positioning by using acceleration sensor
CN104637080A (en) * 2013-11-07 2015-05-20 深圳先进技术研究院 Three-dimensional drawing system and three-dimensional drawing method based on human-computer interaction
US20160169680A1 (en) * 2014-12-10 2016-06-16 Samsung Electronics Co., Ltd. Method and Apparatus for Calculating Rotation Angle of Device
CN105043350A (en) * 2015-06-25 2015-11-11 闽江学院 Binocular vision measuring method
CN105303564A (en) * 2015-09-28 2016-02-03 南京信息职业技术学院 Tower type crane load stereo pendulum angle vision detection method
CN107462213A (en) * 2017-07-27 2017-12-12 国网山东省电力公司经济技术研究院 A kind of Iron tower incline angle method for automatic measurement based on NI Vision Builder for Automated Inspection
CN107747941A (en) * 2017-09-29 2018-03-02 歌尔股份有限公司 A kind of binocular visual positioning method, apparatus and system
CN108171735A (en) * 2017-12-27 2018-06-15 清华大学 1,000,000,000 pixel video alignment schemes and system based on deep learning
CN107917701A (en) * 2017-12-28 2018-04-17 人加智能机器人技术(北京)有限公司 Measuring method and RGBD camera systems based on active binocular stereo vision

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109813509A (en) * 2019-01-14 2019-05-28 中山大学 The method that high-speed rail bridge vertically moves degree of disturbing measurement is realized based on unmanned plane
CN109813509B (en) * 2019-01-14 2020-01-24 中山大学 Method for realizing measurement of vertical dynamic disturbance degree of high-speed rail bridge based on unmanned aerial vehicle
CN110595433A (en) * 2019-08-16 2019-12-20 太原理工大学 Binocular vision-based transmission tower inclination measurement method
CN111372044A (en) * 2020-02-27 2020-07-03 国网山西省电力公司晋城供电公司 System, method and device for inspecting transmission line in goaf
CN111372044B (en) * 2020-02-27 2021-07-06 国网山西省电力公司晋城供电公司 System, method and device for inspecting transmission line in goaf
CN113358318A (en) * 2021-07-02 2021-09-07 中国空气动力研究与发展中心低速空气动力研究所 Cable collision detection method, device, equipment and storage medium
CN113358318B (en) * 2021-07-02 2022-05-17 中国空气动力研究与发展中心低速空气动力研究所 Cable collision detection method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
CN109186549A (en) A kind of Iron tower incline angle measurement method of view-based access control model
CN107314762B (en) Method for detecting ground object distance below power line based on monocular sequence images of unmanned aerial vehicle
CN106679625B (en) Wide scope electric power tower high-precision deformation monitoring method based on dipper system
Ribeiro et al. Non-contact structural displacement measurement using Unmanned Aerial Vehicles and video-based systems
CN112558006B (en) Double-triaxial electromagnetic detection and route positioning method for submarine cable
CN102778207B (en) A kind of measuring method, Apparatus and system of structural member ess-strain
CN103927731B (en) Low-altitude remote sensing image rapid and automatic splicing method without POS assisting
CN102798456B (en) Method, device and system for measuring working range of engineering mechanical arm frame system
CN109829908B (en) Binocular image-based method and device for detecting safety distance of ground object below power line
CN103310589B (en) Alarm information generating method and device
CN102788572B (en) Method, device and system for measuring attitude of lifting hook of engineering machinery
CN109870108A (en) Powerline ice-covering detection method and device
CN110954067A (en) Monocular vision excavator pose measurement system and method based on target
CN104091168A (en) Method for automatically extracting and locating power line based on unmanned aerial vehicle image
CN105865349B (en) A kind of building displacement monitoring method
CN110675494A (en) Three-dimensional visualization optimization method for wind turbine position of wind power plant
JP2013072704A (en) Extraction method of discontinuity surface of tunnel working face and device of the same
CN102496232A (en) Transmission facility monitoring method and system
CN108919367A (en) Transmission line of alternation current inversion method based on current field
CN106871859A (en) A kind of rigid space fixed-axis rotation angle detecting method
CN106524946A (en) Marine riser automatic connection detection device
CN110031828A (en) A kind of unmanned plane range-measurement system and method based on transmission line of electricity magnetic distribution
CN107085857A (en) Power cable localization method, device and system
CN104933223A (en) Power transmission line channel digital surveying method
WO2017161630A1 (en) Small-region lightning monitoring and positioning method and system

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
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190111