CN110220461A - Embedded real-time detection method and device for identification point displacement measurement - Google Patents
Embedded real-time detection method and device for identification point displacement measurement Download PDFInfo
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- CN110220461A CN110220461A CN201910569609.3A CN201910569609A CN110220461A CN 110220461 A CN110220461 A CN 110220461A CN 201910569609 A CN201910569609 A CN 201910569609A CN 110220461 A CN110220461 A CN 110220461A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/14—Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The present invention provides a kind of embedded real-time detection methods and device for identification point displacement measurement.The device includes determinand and measuring system, there are two circular index points for setting on the determinand, the measuring system includes high definition camera, and the high definition camera connects embedded imaging system, and the embedded imaging system connects server by wireless communication.This method are as follows: use the image for the mark dot pattern that high definition camera acquisition determinand is connected, and acquired image is transmitted in embedded processing systems by USB interface, the pixel coordinate variation of circle marker central point in mark dot pattern is calculated with digital image processing techniques, according to the proportionality coefficient of pixel displacement and actual displacement, it obtains determinand change in displacement actual in the plane, is finally transmitted to calculated data on server by way of wireless telecommunications.The present invention is easy for installation, and high-precision supports on-line displacement measurement.
Description
Technical field
The present invention relates to a kind of embedded real-time detection methods and device for identification point displacement measurement, belong to optics survey
Measure technical field.
Background technique
As the infrastructure such as road, bridge continue to develop, the condition monitorings technology such as road, bridge is faced
The problem of also become increasingly complex, and have higher requirement for measurement result such as precision, speed, reliability etc..State at present
Interior about subgrade settlement monitoring, there are many methods, mainly based on traditional measurement instrument (such as sedimentation plate, sedimentometer), need
Observation personnel is monitored for a long time at the scene, takes a lot of work, is time-consuming, and accuracy of observation is affected by artificial and climatic factor.
By the continuous development of subgrade settlement measuring technique, optical visual measurement method can be realized non-contact, high-precision, high stability
Measurement effect, but vision measurement mode at present generally requires and completes image measurement by computer and calculate, due to computer
Volume is larger, and outdoor power supply is inconvenient, can not measure work for a long time outdoors, cause vision measurement mode can not be in reality
It is used widely in border subgrade settlement measurement.As the performance that the processing of embedded device calculates constantly is promoted, vision measurement
Calculating work can complete on embedded device, and the volume of visual measuring equipment can in this way reduced, lower power consumption, for view
Feel that measuring device carries out the realization that outdoor subgrade settlement measures and provides feasibility.
Summary of the invention
The invention discloses a kind of embedded real-time detection method and device for identification point displacement measurement, installation sides
Just, high-precision supports on-line displacement measurement.
Above-mentioned purpose is achieved through the following technical solutions:
For the embedded real-time detection apparatus of identification point displacement measurement, including determinand and measuring system, on the determinand
There are two circular index points for setting, and the measuring system includes high definition camera, and the high definition camera connects built-in image collection
System, the embedded imaging system connect server by wireless communication.
The embedded real-time detection apparatus for identification point displacement measurement, the embedded imaging system with
Arm processor is core, and designs electric power management circuit, and it is wireless to be connected to wifi for HDMI display interface circuit, usb circuit
Network interface card.
The real-time detection method of a displacement measurement, this method are identified with above-mentioned apparatus are as follows: acquire using high definition camera
The image for the mark dot pattern that determinand is connected, and acquired image is transmitted to embedded processing systems by USB interface
In, change with the pixel coordinate that digital image processing techniques calculate circle marker central point in mark dot pattern, according to picture
The proportionality coefficient of element displacement and actual displacement, obtains determinand change in displacement actual in the plane, finally by calculated number
It is transmitted on server according to by way of wireless telecommunications.
The real-time detection method for being identified a displacement measurement, it is described to be calculated with digital image processing techniques
The specific method of the pixel coordinate variation of circle marker central point is in mark dot pattern: index point centralized positioning algorithm is used,
Gaussian filtering is used to acquisition mark point image, image border curve is extracted using arithmetic operators, then to mentioning
The boundary curve taken is screened through row, filters out circular mark, is finally used ellipse fitting algorithm, is calculated in circle marker
The subpixel coordinates of the heart.
The real-time detection method for being identified a displacement measurement, it is described to be connected using high definition camera acquisition determinand
Mark dot pattern image during be arranged using instantaneous exposure, quick first positioning round mark is arranged in instantaneous exposure
Position sets the rectangular area that an energy includes circle marker, according to the exposure of gray value size setting camera in selection area
Time.
The ratio system of the real-time detection method for being identified a displacement measurement, the pixel displacement and actual displacement
Number is two round center pixel coordinates in calculation flag point, calculates two round pixel distances, the actual range with design
Comparison, obtains the proportionality coefficient of pixel distance and actual range.
The utility model has the advantages that
Compared with prior art, the present invention having the advantage that
(1) measuring device of the present invention is simple to operate.Measuring device Image Acquisition is done with calculating it is integral, using having demarcated
The mark point image of distance can directly be calculated measurement data without Camera extrinsic staking-out work operation, simplify measurement process.
(2) measurement stability is preferable.It is obtained compared to traditional manual measurement mode using digital image processing techniques
Measurement result consistency it is high, measurement is stablized.
(3) real-time measurement function is realized.It can be realized image data using embedded technology to acquire in real time, calculate function in real time
Can, measurement result can be immediately arrived at.
(4) dynamic is supported to measure.Traditional manual measurement is unable to measure out the dynamic attribute of determinand, this displacement measurement dress
It sets using embedded system energy real-time measurement ohject displacement data, determines that the dynamic of displacement measuring device measures according to camera frame per second
Attribute.
(5) it is easy to networking test.This displacement measuring device supports wireless data transmission, can when multiple devices measure simultaneously
To carry out networking by wireless network, the operation of physical connection is reduced, while measuring the placement location of equipment also not by line
Limitation.
Detailed description of the invention
Fig. 1 is mark dot pattern schematic diagram.
Fig. 2 is apparatus of the present invention embedded system schematic diagram.
Fig. 3 is displacement detector operation schematic diagram.Wherein, 1 is high definition camera, and 2 be embedded imaging system, 3
It is server for wireless telecom equipment, 4,5 be mark dot pattern, and 6 be determinand.
Specific embodiment
It is described to be measured for the embedded real-time detection apparatus of identification point displacement measurement, including determinand and measuring system
There are two circular index points for setting on object, and the measuring system includes high definition camera, and the high definition camera connects embedded image
Acquisition system, the embedded imaging system connect server by wireless communication.
The embedded real-time detection apparatus for identification point displacement measurement, the embedded imaging system with
Arm processor is core, and designs electric power management circuit, and it is wireless to be connected to wifi for HDMI display interface circuit, usb circuit
Network interface card.
The real-time detection method of a displacement measurement, this method are identified with above-mentioned apparatus are as follows: acquire using high definition camera
The image for the mark dot pattern that determinand is connected, and acquired image is transmitted to embedded processing systems by USB interface
In, change with the pixel coordinate that digital image processing techniques calculate circle marker central point in mark dot pattern, according to picture
The proportionality coefficient of element displacement and actual displacement, obtains determinand change in displacement actual in the plane, finally by calculated number
It is transmitted on server according to by way of wireless telecommunications.Using wireless communication mode transmission measurement data, measuring device will be surveyed
The displacement data of amount is transmitted in server by wireless communication mode, the in-plane displancement detection device of digital image processing techniques
So that measuring device arrangement do not influenced by spatial position, and for more displacement detectors simultaneously measure when data transmit provide
Convenient and fast data transfer mode.
The real-time detection method for being identified a displacement measurement, it is described to be calculated with digital image processing techniques
The specific method of the pixel coordinate variation of circle marker central point is in mark dot pattern: index point centralized positioning algorithm is used,
Gaussian filtering is used to acquisition mark point image, image border curve is extracted using arithmetic operators, then to mentioning
The boundary curve taken is screened through row, filters out circular mark, is finally used ellipse fitting algorithm, is calculated in circle marker
The subpixel coordinates of the heart.
The real-time detection method for being identified a displacement measurement, it is described to be connected using high definition camera acquisition determinand
Mark dot pattern image during be arranged using instantaneous exposure, quick first positioning round mark is arranged in instantaneous exposure
Position sets the rectangular area that an energy includes circle marker, according to the exposure of gray value size setting camera in selection area
Time.
The ratio system of the real-time detection method for being identified a displacement measurement, the pixel displacement and actual displacement
Number is two round center pixel coordinates in calculation flag point, calculates two round pixel distances, the actual range with design
Comparison, obtains the proportionality coefficient of pixel distance and actual range.
Detection process:
According to two factors of the distance between determinand and camera and viewing field of camera size, two circles in mark dot pattern are calculated
The circle center distance of the diameter of shape mark and two circle markers fixes designed mark dot pattern with determinand,
Ensure to indicate that dot pattern can be servo-actuated with determinand.
Displacement measuring device is fixed at settling position, camera lens position is adjusted, so that mark dot pattern is in phase
Machine field of view center position, adjustment camera focus to indicate the imaging clearly in the camera of the circle marker in dot pattern, adjust phase
The machine time for exposure makes there can be no burst point is crossed, and after fixing equipment, the image of camera acquisition mark dot pattern calculates mark
The initial center pixel coordinate of two circle markers in dot pattern, calculates two round center pixel distances, calculates pixel
The proportionate relationship of distance and actual range.
Camera frequency acquisition is adjusted according to measurement demand, calculating is handled by picture of the embedded system to acquisition in real time,
It obtains the change in displacement data of determinand, and the data of measurement is saved in embedded systems, embedded system is using solid
It fixes time to be spaced to server and sends measurement data.
It should be noted that above-described embodiment is only used to illustrate structure and its working effect of the invention, and it is not used as
It limits the scope of the invention.One of ordinary skilled in the art is right without prejudice to thinking of the present invention and structure
The adjustment or optimization that above-described embodiment carries out, should regard as the claims in the present invention and be covered.
Claims (6)
1. a kind of embedded real-time detection apparatus for identification point displacement measurement, it is characterised in that: including determinand and measurement
System, there are two circular index points for setting on the determinand, and the measuring system includes high definition camera, and the high definition camera connects
Embedded imaging system is connect, the embedded imaging system connects server by wireless communication.
2. the embedded real-time detection apparatus according to claim 1 for identification point displacement measurement, it is characterised in that: institute
Embedded imaging system is stated using arm processor as core, and designs electric power management circuit, HDMI display interface circuit, USB
Interface circuit is connected to wifi wireless network card.
3. a kind of real-time detection method for being identified a displacement measurement with above-mentioned apparatus, it is characterised in that: this method are as follows: use
High definition camera acquire determinand be connected mark dot pattern image, and by acquired image by USB interface be transmitted to it is embedding
Enter in formula processing system, the pixel coordinate of circle marker central point in mark dot pattern is calculated with digital image processing techniques
Variation, according to the proportionality coefficient of pixel displacement and actual displacement, obtains determinand change in displacement actual in the plane, finally will
Calculated data are transmitted on server by way of wireless telecommunications.
4. the real-time detection method according to claim 3 for being identified a displacement measurement, it is characterised in that: the utilization
The specific method that digital image processing techniques calculate the pixel coordinate variation of circle marker central point in mark dot pattern is: adopting
With index point centralized positioning algorithm, gaussian filtering is used to acquisition mark point image, using arithmetic operators to image border
Curve extracts, and then screens to the boundary curve of extraction through row, filters out circular mark, finally calculated using ellipse fitting
Method calculates the subpixel coordinates at the center of circle marker.
5. the real-time detection method according to claim 3 for being identified a displacement measurement, it is characterised in that: the use
It is arranged during the image of the connected mark dot pattern of high definition camera acquisition determinand using instantaneous exposure, instantaneous exposure setting
The position of positioning round mark quick first sets the rectangular area that an energy includes circle marker, according to grey in selection area
The time for exposure of angle value size setting camera.
6. the real-time detection method according to claim 3 for being identified a displacement measurement, it is characterised in that: the pixel
The proportionality coefficient of displacement and actual displacement is two round center pixel coordinates in calculation flag point, calculates two round pixels
Distance compares with the actual range of design, obtains the proportionality coefficient of pixel distance and actual range.
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| CN201910569609.3A CN110220461A (en) | 2019-06-27 | 2019-06-27 | Embedded real-time detection method and device for identification point displacement measurement |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110823175A (en) * | 2019-11-07 | 2020-02-21 | 河海大学 | Displacement high-frequency observation device and method based on multi-point reverse recognition technology |
| CN111504188A (en) * | 2020-04-28 | 2020-08-07 | 湖北文理学院 | Arc part measuring method and device based on machine vision |
| CN112013811A (en) * | 2020-09-01 | 2020-12-01 | 昆山市房屋安全鉴定管理站 | House structure settlement monitoring device based on vision measurement |
| CN115289982A (en) * | 2022-09-28 | 2022-11-04 | 天津大学建筑设计规划研究总院有限公司 | Aruco code-based structural plane displacement visual monitoring method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1040387A (en) * | 1996-07-26 | 1998-02-13 | Nec Corp | Device for judging substrate quality |
| US20080218767A1 (en) * | 2007-03-07 | 2008-09-11 | Asml Netherlands B.V. | Inspection method and apparatus, lithographic apparatus, lithographic processing cell and device manufacturing method, substrate for use in the methods |
| CN101614525A (en) * | 2009-07-21 | 2009-12-30 | 中国科学院长春光学精密机械与物理研究所 | Displacement and speed pickup |
| CN103310215A (en) * | 2013-07-03 | 2013-09-18 | 天津工业大学 | Detecting and identifying method for annular coding mark point |
| CN204495331U (en) * | 2015-03-03 | 2015-07-22 | 北京科技大学 | A kind of noncontact tunnel sedimentation vision measurement device |
| CN105910539A (en) * | 2016-05-30 | 2016-08-31 | 河北工业大学 | Cable sheath tensile length measuring device and cable sheath tensile length measuring method based on machine vision |
-
2019
- 2019-06-27 CN CN201910569609.3A patent/CN110220461A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1040387A (en) * | 1996-07-26 | 1998-02-13 | Nec Corp | Device for judging substrate quality |
| US20080218767A1 (en) * | 2007-03-07 | 2008-09-11 | Asml Netherlands B.V. | Inspection method and apparatus, lithographic apparatus, lithographic processing cell and device manufacturing method, substrate for use in the methods |
| CN101614525A (en) * | 2009-07-21 | 2009-12-30 | 中国科学院长春光学精密机械与物理研究所 | Displacement and speed pickup |
| CN103310215A (en) * | 2013-07-03 | 2013-09-18 | 天津工业大学 | Detecting and identifying method for annular coding mark point |
| CN204495331U (en) * | 2015-03-03 | 2015-07-22 | 北京科技大学 | A kind of noncontact tunnel sedimentation vision measurement device |
| CN105910539A (en) * | 2016-05-30 | 2016-08-31 | 河北工业大学 | Cable sheath tensile length measuring device and cable sheath tensile length measuring method based on machine vision |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110823175A (en) * | 2019-11-07 | 2020-02-21 | 河海大学 | Displacement high-frequency observation device and method based on multi-point reverse recognition technology |
| CN111504188A (en) * | 2020-04-28 | 2020-08-07 | 湖北文理学院 | Arc part measuring method and device based on machine vision |
| CN111504188B (en) * | 2020-04-28 | 2021-11-16 | 湖北文理学院 | Arc part measuring method and device based on machine vision |
| CN112013811A (en) * | 2020-09-01 | 2020-12-01 | 昆山市房屋安全鉴定管理站 | House structure settlement monitoring device based on vision measurement |
| CN115289982A (en) * | 2022-09-28 | 2022-11-04 | 天津大学建筑设计规划研究总院有限公司 | Aruco code-based structural plane displacement visual monitoring method |
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Application publication date: 20190910 |