CN112906095A - Bridge modal identification method and system based on laser stripe center tracking - Google Patents

Bridge modal identification method and system based on laser stripe center tracking Download PDF

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CN112906095A
CN112906095A CN202011512922.2A CN202011512922A CN112906095A CN 112906095 A CN112906095 A CN 112906095A CN 202011512922 A CN202011512922 A CN 202011512922A CN 112906095 A CN112906095 A CN 112906095A
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吴桐
唐亮
罗东
周志祥
陈虹侨
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Yunnan Jiaotou Pulan Expressway Co ltd
Chongqing Jiaotong University
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Abstract

The invention provides a bridge mode identification method based on laser stripe center tracking, which comprises the following steps: projecting a laser line to the structural surface of the bridge, and collecting image information of laser stripes formed by the laser line on the surface of the bridge; processing the image of the laser stripe, and extracting the position of the central point of the laser stripe; fitting the horizontal coordinate or the vertical coordinate of the central point of the laser stripe with the time change state to form a laser line displacement time course curve; determining the time domain response of continuous points on the bridge surface in the length range of the laser line projected on the bridge surface according to the laser line displacement time-course curve; identifying a bridge modal parameter according to the time domain response of the continuous points on the surface of the bridge; by the method, accurate bridge modal parameters can be obtained, complex monitoring equipment arrangement on the bridge is not needed, labor cost and equipment cost are effectively saved, the method does not depend on illumination and background conditions, and accuracy is high.

Description

Bridge modal identification method and system based on laser stripe center tracking
Technical Field
The invention relates to the field of bridges, in particular to a bridge mode identification method and a bridge mode identification system based on laser stripe center tracking.
Background
The modal parameters of the structure mainly comprise natural frequency, vibration mode, damping ratio and the like, the change of the modal parameters can indirectly reflect the change of physical parameters (structure mass, structure rigidity, damping and the like) of the structure, and the modal parameters are main parameters for determining the dynamic characteristics of the structure and the premise and the basis for identifying the structural damage and evaluating the state.
The traditional modal parameter identification method is mainly characterized in that a contact sensor is arranged on the surface of a structure, vibration response signals (displacement, speed, acceleration and the like) of the structure are picked up, modal analysis is carried out on the signals to obtain modal parameters of the structure, the method can only carry out measurement at a few discrete positions, wiring is usually required to carry out data transmission or power supply, the implementation difficulty on large-scale bridges on site is high, and the cost is high.
In recent years, Digital Image Correlation (DIC) has been widely used in the industrial field due to its advantages of non-contact and large-scale measurement, and by tracking the motion of external features of a structure in a sequence of Digital images recorded by a camera, the full-field displacement and deformation of the structure can be measured in a non-contact manner, and thus the structure can be subjected to modal analysis. DIC technology based on target tracking usually requires manual spraying speckles or sticking identification points near the surface of the structure to obtain a traceable external target, which may not be allowed on a practical bridge; the method can realize non-target tracking by applying edge detection and motion amplification algorithms, but has certain requirements on illumination and background conditions. If the illumination condition changes in the measurement process, the method has poor effect.
Therefore, in order to solve the above technical problems, a new technical means is continuously proposed.
Disclosure of Invention
In view of the above, the present invention provides a bridge modal identification method and system based on laser fringe center tracking, which perform identification and estimation of bridge modal parameters based on image information, so as to obtain accurate bridge modal parameters, and at the same time, do not need to perform complicated arrangement of monitoring equipment on a bridge, effectively save labor cost and equipment cost, and do not depend on illumination and background conditions, and have high accuracy.
The invention provides a bridge mode identification method based on laser stripe center tracking, which comprises the following steps:
s1, projecting a laser line to the surface of a structure of a bridge, and collecting image information of laser stripes formed by the laser line on the surface of the bridge; after the laser line emitted by the laser is projected on the surface of the bridge, a line is formed on human vision, however, a laser stripe with a certain width is presented in the image;
s2, processing the image of the laser stripe, and extracting the position of the central point of the laser stripe;
s3, fitting the time-varying state of the abscissa or the ordinate of the central point of the laser stripe to form a laser line displacement time-course curve;
s4, determining time domain response of continuous points on the bridge surface within the length range of the laser line projected on the bridge surface according to the laser line time course curve;
and S5, identifying the modal parameters of the bridge according to the time domain response of the continuous points on the surface of the bridge.
Further, step S2 specifically includes:
s21, carrying out gray level processing on the image of the laser stripe, and expressing the image after the gray level processing by adopting a gray level matrix:
Figure BDA0002846973180000021
wherein g (x, y) is the gray value of different pixel points in the gray image, and M and N represent that the image is formed by M multiplied by N pixels;
s22, finding out the maximum gray value in a column or a row in the gray matrix, wherein the point corresponding to the maximum gray value is a light intensity peak point, and recording the coordinate of the light intensity peak point;
s23, selecting a 1:2 window, fitting column or row pixel points in a gray matrix to form a secondary curve by adopting a least square method for the stripe with the laser stripe width of s, and obtaining a secondary curve equation:
f(y)＝ay2+ by + c (2); if the pixel points of the laser stripes are represented by rows in the gray matrix, fitting the pixel points of the rows;
s24, substituting the coordinates of the pixel points within the width s of the laser stripe into a quadratic curve equation, and performing matrixing processing to obtain a matrix F: f is YB, wherein:
Figure BDA0002846973180000031
obtaining a matrix B: b ═ YTY)-1YTF (4)；
S25, determining a light intensity distribution function of the laser stripes:
Figure BDA0002846973180000032
wherein A is the gray value of the laser stripe, y is the y coordinate of the rectangular coordinate system on the image plane,
Figure BDA0002846973180000033
the y-axis coordinate value of the light intensity distribution center in the rectangular coordinate system is shown, and sigma is the width of the laser stripe intensity distribution;
taking logarithm operation on the light intensity distribution function:
Figure BDA0002846973180000034
order: f (y) lni (y),
Figure BDA0002846973180000035
the logarithmic expression of the light intensity distribution function is rewritten as:
F(y)＝a0+a1y+a2y2 (7)；
establishing an objective function:
Figure BDA0002846973180000041
wherein 2N +1 represents the number of strongly distributed data points; order to
Figure BDA0002846973180000042
The matrix equation can be derived:
Figure BDA0002846973180000043
obtaining the position of the center point of the laser stripe by a Householder conversion method:
Figure BDA0002846973180000044
further, step S4 specifically includes:
determining a coordinate system, and determining an initial coordinate A of a central point of a laser stripe after a laser line is projected on the surface of the bridge and an initial coordinate B of a corresponding point of the central point of the laser stripe on an image surface; recording the coordinate position C of the installation point of the camera;
after the bridge surface is deformed, determining the coordinate A 'of the displaced central point of the laser stripe and the coordinate B' of the corresponding point on the image surface,
in the coordinate system, the crossing point B is taken as a parallel line of the AA 'connection line, the intersection point of the parallel line and the connection line of the camera coordinate C and the coordinate a' of the center point of the laser stripe is Bi, and the distance between the coordinate B and the intersection point Bi is:
Figure BDA0002846973180000051
a is the distance between AA',
coordinates B and B' define a straight line expressed as:
Figure BDA0002846973180000052
wherein alpha isIs the included angle between the straight line BB' and the straight line BBi;
the straight line passing through point C and point A' is represented as:
Figure BDA0002846973180000053
wherein, B is the distance between the coordinate origin O and the point B, and C is the distance between the coordinate origin and the camera position coordinate C;
and (12) and (13) are combined to determine the coordinates of B':
Figure BDA0002846973180000054
calculate the length d of line segment BB':
Figure BDA0002846973180000055
substituting equation (11) into equation (15):
Figure BDA0002846973180000056
the time-course vibration curve of the laser stripe is obtained based on equation (16).
Correspondingly, the bridge modal identification system based on laser stripe center tracking comprises a laser source, a camera, an image processing module, a time-course curve fitting module, a bridge vibration time domain response extraction module and a bridge modal parameter identification module;
the laser source is used for emitting laser lines to the surface of the bridge and forming laser stripes on the surface of the bridge;
the camera is arranged outside the bridge, is positioned on the outer side below the bridge and is used for acquiring and outputting a laser stripe image on the surface of the bridge;
the image processing module is used for receiving the image information output by the camera, carrying out gray level processing and then extracting the central point position of the laser stripe in the image;
the time-course curve fitting module receives the central point position of the laser stripe output by the image processing module and fits to form a time-course curve of the central point in a vibration state;
the bridge vibration time domain response extraction module receives the time course curve output by the time course curve fitting module and extracts the vibration time domain response of the bridge;
and the bridge modal parameter identification module receives the vibration time domain response of the bridge output by the bridge vibration time domain response extraction module and identifies the bridge modal parameters.
The invention has the beneficial effects that: according to the invention, the identification and estimation of the bridge modal parameters are carried out based on the image information, so that the accurate bridge modal parameters can be obtained, the complex arrangement of monitoring equipment for the bridge is not needed, the labor cost and the equipment cost are effectively saved, the dependence on illumination and background conditions is avoided, and the accuracy is high.
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The invention is further described below with reference to the following figures and examples:
FIG. 1 is a flow chart of the present invention.
Fig. 2 is a schematic structural diagram of the present invention.
FIG. 3 is a schematic diagram of the time curve fitting transformation of the present invention.
Fig. 4 is a schematic view of the arrangement structure of the present invention.
Detailed Description
The following detailed description is made in conjunction with the accompanying drawings:
the invention provides a bridge mode identification method based on laser stripe center tracking, which comprises the following steps:
s1, projecting a laser line to the surface of a structure of a bridge, and collecting image information of laser stripes formed by the laser line on the surface of the bridge;
s2, processing the image of the laser stripe, and extracting the position of the central point of the laser stripe;
s3, fitting the time-varying state of the abscissa or the ordinate of the central point of the laser stripe to form a laser line displacement curve; wherein the displacement of the laser line reflects the vibration state of the bridge;
s4, determining time domain response of continuous points on the bridge surface within the length range of the laser line projected on the bridge surface according to the laser line displacement time-course curve;
s5, identifying bridge modal parameters according to the time domain response of the continuous points on the surface of the bridge; by the method, accurate bridge modal parameters can be obtained, complex monitoring equipment arrangement on the bridge is not needed, labor cost and equipment cost are effectively saved, the method does not depend on illumination and background conditions, and accuracy is high.
In this embodiment, step S2 specifically includes:
s21, carrying out gray level processing on the image of the laser stripe, and expressing the image after the gray level processing by adopting a gray level matrix:
Figure BDA0002846973180000071
wherein g (x, y) is the gray value of different pixel points in the gray image, and M and N represent that the image is formed by M multiplied by N pixels;
s22, finding out the maximum gray value in a column or a row in the gray matrix, wherein the point corresponding to the maximum gray value is a light intensity peak point, and recording the coordinate of the light intensity peak point;
s23, selecting a 1:2 window, fitting column or row pixel points in a gray matrix to form a secondary curve by adopting a least square method for the stripe with the laser stripe width of s, and obtaining a secondary curve equation:
f(y)＝ay2+by+c (2)；
s24, substituting the coordinates of the pixel points within the width s of the laser stripe into a quadratic curve equation, and performing matrixing processing to obtain a matrix F: f is YB, wherein:
Figure BDA0002846973180000081
obtaining a matrix B: b ═ YTY)-1YTF (4)；
S25, determining a light intensity distribution function of the laser stripes:
Figure BDA0002846973180000082
wherein A is the gray value of the laser stripe, y is the y coordinate of the rectangular coordinate system on the image plane,
Figure BDA0002846973180000083
the y-axis coordinate value of the light intensity distribution center in the rectangular coordinate system is shown, and sigma is the width of the laser stripe intensity distribution;
taking logarithm operation on the light intensity distribution function:
Figure BDA0002846973180000084
order: f (y) lni (y),
Figure BDA0002846973180000085
the logarithmic expression of the light intensity distribution function is rewritten as:
F(y)＝a0+a1y+a2y2 (7)；
establishing an objective function:
Figure BDA0002846973180000086
wherein 2N +1 represents the number of strongly distributed data points; order to
Figure BDA0002846973180000087
The matrix equation can be derived:
Figure BDA0002846973180000091
obtaining the position of the center point of the laser stripe by a Householder conversion method:
Figure BDA0002846973180000092
by the method, the position of the center point of the laser stripe can be accurately determined.
In this embodiment, step S4 specifically includes:
determining a coordinate system, and determining an initial coordinate A of a central point of a laser stripe after a laser line is projected on the surface of the bridge and an initial coordinate B of a corresponding point of the central point of the laser stripe on an image surface; recording the coordinate position C of the installation point of the camera;
after the bridge surface is deformed, determining the coordinate A 'of the displaced central point of the laser stripe and the coordinate B' of the corresponding point on the image surface,
in the coordinate system, the crossing point B is taken as a parallel line of the AA 'connection line, the intersection point of the parallel line and the connection line of the camera coordinate C and the coordinate a' of the center point of the laser stripe is Bi, and the distance between the coordinate B and the intersection point Bi is:
Figure BDA0002846973180000093
a is the distance between AA',
coordinates B and B' define a straight line expressed as:
Figure BDA0002846973180000094
wherein alpha is an included angle between a straight line BB' and a straight line BBi;
the straight line passing through point C and point A' is represented as:
Figure BDA0002846973180000101
wherein, B is the distance between the coordinate origin O and the point B, and C is the distance between the coordinate origin and the camera position coordinate C; the above-mentioned geometrical relationship is shown in FIG. 3;
and (12) and (13) are combined to determine the coordinates of B':
Figure BDA0002846973180000102
calculate the length d of line segment BB':
Figure BDA0002846973180000103
substituting equation (11) into equation (15):
Figure BDA0002846973180000104
obtaining a time course vibration curve of the laser stripes based on the formula (16), obtaining the time course curve, obtaining the time domain response of the central points of the laser stripes through the existing algorithm, and obtaining the time domain response of the whole bridge surface through the time domain response of the central points of the laser stripes; then modal parameter identification is carried out based on the existing algorithm, such as:
the time domain response is represented using a linear combination:
Figure BDA0002846973180000105
j is the modal number of the structure, phijFor the jth modal shape vector of the structure,
Figure BDA0002846973180000106
in the displacement mode, qj(t) is the modal coordinates at time t. At coordinate x, assuming that the vibration of the bridge is entirely caused by an excitation fs applied at a point on the beam
Figure BDA0002846973180000107
And fs can be expressed as:
Figure BDA0002846973180000111
wherein
Figure BDA0002846973180000112
And Fs are eachIs that
Figure BDA0002846973180000113
And f, Fourier transform of fs, wherein omega represents frequency, and an experimental modal analysis algorithm is adopted to analyze H to obtain modal parameters of the bridge.
Correspondingly, the bridge modal identification system based on laser stripe center tracking comprises a laser source, a camera, an image processing module, a time-course curve fitting module, a bridge vibration time domain response extraction module and a bridge modal parameter identification module;
the laser source is used for emitting laser lines to the surface of the bridge and forming laser stripes on the surface of the bridge;
the camera is arranged outside the bridge, is positioned on the outer side below the bridge and is used for acquiring and outputting a laser stripe image on the surface of the bridge;
the image processing module is used for receiving the image information output by the camera, carrying out gray level processing and then extracting the central point position of the laser stripe in the image;
the time-course curve fitting module receives the central point position of the laser stripe output by the image processing module and fits to form a time-course curve of the central point in a vibration state;
the bridge vibration time domain response extraction module receives the time course curve output by the time course curve fitting module and extracts the vibration time domain response of the bridge;
and the bridge modal parameter identification module receives the vibration time domain response of the bridge output by the bridge vibration time domain response extraction module and identifies the bridge modal parameters.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.

Claims (4)

1. A bridge mode identification method based on laser stripe center tracking is characterized in that: the method comprises the following steps:
s1, projecting a laser line to the surface of a structure of a bridge, and collecting image information of laser stripes formed by the laser line on the surface of the bridge;
s2, processing the image of the laser stripe, and extracting the position of the central point of the laser stripe;
s3, fitting the time-varying state of the abscissa or the ordinate of the central point of the laser stripe to form a laser line displacement time-course curve;
s4, determining time domain response of continuous points on the bridge surface within the length range of the laser line projected on the bridge surface according to the laser line displacement time-course curve;
and S5, identifying the modal parameters of the bridge according to the time domain response of the continuous points on the surface of the bridge.
2. The bridge mode identification method based on laser stripe center tracking according to claim 1, wherein: step S2 specifically includes:
s21, carrying out gray level processing on the image of the laser stripe, and expressing the image after the gray level processing by adopting a gray level matrix:
Figure FDA0002846973170000011
wherein g (x, y) is the gray value of different pixel points in the gray image, and M and N represent that the image is formed by M multiplied by N pixels;
s22, finding out the maximum gray value in a column or a row in the gray matrix, wherein the point corresponding to the maximum gray value is a light intensity peak point, and recording the coordinate of the light intensity peak point;
s23, selecting a 1:2 window, fitting column or row pixel points in a gray matrix to form a secondary curve by adopting a least square method for the stripe with the laser stripe width of s, and obtaining a secondary curve equation:
f(y)＝ay2+by+c (2)；
s24, substituting the coordinates of the pixel points within the width s of the laser stripe into a quadratic curve equation, and performing matrixing processing to obtain a matrix F: f is YB, wherein:
Figure FDA0002846973170000021
obtaining a matrix B: b ═ YTY)-1YTF (4)；
S25, determining a light intensity distribution function of the laser stripes:
Figure FDA0002846973170000022
wherein A is the gray value of the laser stripe, y is the y coordinate of the rectangular coordinate system on the image plane,
Figure FDA0002846973170000023
the y-axis coordinate value of the light intensity distribution center in the rectangular coordinate system is shown, and sigma is the width of the laser stripe intensity distribution;
taking logarithm operation on the light intensity distribution function:
Figure FDA0002846973170000024
order: f (y) lni (y),
Figure FDA0002846973170000025
the logarithmic expression of the light intensity distribution function is rewritten as:
F(y)＝a0+a1y+a2y2 (7)；
establishing an objective function:
Figure FDA0002846973170000026
wherein 2N +1 represents the number of strongly distributed data points; order to
Figure FDA0002846973170000031
The matrix equation can be derived:
Figure FDA0002846973170000032
obtaining the position of the center point of the laser stripe by a Householder conversion method:
Figure FDA0002846973170000033
3. the bridge mode identification method based on laser stripe center tracking according to claim 2, wherein: step S4 specifically includes:
determining a coordinate system, and determining an initial coordinate A of a central point of a laser stripe after a laser line is projected on the surface of the bridge and an initial coordinate B of a corresponding point of the central point of the laser stripe on an image surface; recording the coordinate position C of the installation point of the camera;
after the bridge deck is deformed, determining a coordinate A 'of the displaced central point of the laser stripe and a coordinate B' of a corresponding point on an image plane,
in the coordinate system, the crossing point B is taken as a parallel line of the AA 'connection line, the intersection point of the parallel line and the connection line of the camera coordinate C and the coordinate a' of the center point of the laser stripe is Bi, and the distance between the coordinate B and the intersection point Bi is:
Figure FDA0002846973170000034
a is the distance between AA',
coordinates B and B' determine a straight line as:
Figure FDA0002846973170000041
wherein alpha is an included angle between a straight line BB' and a straight line BBi;
the straight line passing through point C and point a' is represented as:
Figure FDA0002846973170000042
wherein, B is the distance between the coordinate origin O and the point B, and C is the distance between the coordinate origin and the camera position coordinate C;
and (13) combining equations (12) and (13), determining the coordinates of B':
Figure FDA0002846973170000043
calculating the length d of the line segment BB':
Figure FDA0002846973170000044
substituting equation (11) into equation (15):
Figure FDA0002846973170000045
the time-course vibration curve of the laser stripe is obtained based on equation (16).
4. The utility model provides a bridge mode identification system based on laser stripe center is tracked which characterized in that: the bridge vibration time domain response extraction system comprises a laser source, a camera, an image processing module, a time course curve fitting module, a bridge vibration time domain response extraction module and a bridge modal parameter identification module;
the laser source is used for emitting laser lines to the surface of the bridge and forming laser stripes on the surface of the bridge;
the camera is arranged outside the bridge, is positioned on the outer side below the bridge and is used for acquiring and outputting a laser stripe image on the surface of the bridge;
the image processing module is used for receiving the image information output by the camera, carrying out gray level processing and then extracting the central point position of the laser stripe in the image;
the time-course curve fitting module receives the central point position of the laser stripe output by the image processing module and fits to form a time-course curve of the central point in a vibration state;
the bridge vibration time domain response extraction module receives the time course curve output by the time course curve fitting module and extracts the vibration time domain response of the bridge;
and the bridge modal parameter identification module receives the vibration time domain response of the bridge output by the bridge vibration time domain response extraction module and identifies the bridge modal parameters.
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