Bridge displacement precision monitoring system and method based on intelligent sensing technology

Abstract

The invention discloses a bridge displacement precision monitoring system and method based on an intelligent sensing technology, and the system comprises a plurality of monitoring units which are disposed below a bridge in the length direction, and each monitoring unit comprises a displacement high-precision camera and a plurality of targets. The plurality of monitoring units are mutually positioned through a first positioning system; the first positioning system comprises a fiber grating sensing assembly; the second positioning system comprises three groups of second high-definition cameras, and three second targets are fixed at the bottom of each second high-definition camera; a plurality of triangular rhombic bulges are arranged on the surface of the target, and a second target reflecting surface is formed on the surface of each triangular bulge; the real-time reference coordinates of the monitoring units at the two ends during shooting are calculated by positioning the displacement high-precision cameras at the two ends, and the displacement offsets of all the displacement high-precision cameras during shooting are obtained by combining the mutual positioning of the multiple monitoring units. And the influence on the whole monitoring caused by the displacement of the high-precision displacement camera during shooting of the monitoring unit is eliminated.

Description

Technical Field

[0001] The present invention belongs to the technical field of artificial intelligence sensing monitoring, and in particular relates to a bridge displacement accuracy monitoring system and method based on intelligent sensing technology. Background Art

[0002] Bridge displacement monitoring refers to real-time monitoring of the displacement changes of bridges in different directions, timely detection and early warning of potential safety hazards, and avoidance of major accidents. When the displacement of the bridge exceeds the safety threshold, the instrument will trigger the over-limit early warning function, and remind the staff through monitoring to ensure timely measures.

[0003] Through long-term and continuous displacement monitoring, a large amount of data can be accumulated to reveal the changing patterns of bridge structures under different environmental conditions, providing valuable reference for the design, construction and maintenance of bridges. These data can also generate trend change charts to show the displacement changes of bridges in different time periods, helping staff to better assess the safety status of bridges.

[0004] The principle of bridge displacement monitoring is to measure the displacement of the bridge by installing sensors on the bridge structure. The sensors can use different technologies, including strain gauges, accelerometers, displacement sensors, etc. These sensors monitor the deformation of the bridge in real time and transmit the data to the monitoring system for analysis and early warning.

[0005] The most commonly used method is bridge camera target displacement monitoring, which arranges specific targets on the bridge structure, continuously monitors these targets with high-resolution cameras, and calculates the actual displacement by measuring the pixel changes of the targets. Specifically, when the bridge moves, the target image captured by the camera will change, and these changes will be converted into actual displacement data through image processing technology.

[0006] However, for bridge camera target displacement monitoring, although the camera is installed in a stable part of the bridge structure, it is still easy to become unstable when the external environment changes, resulting in poor monitoring data accuracy. At the same time, most targets are planar. Since they are planar targets, after the target is slightly tilted, the displacement camera only compares the front and rear target graphics, and it is difficult to calculate the tilt change through graphic processing. Current displacement cameras generally ignore the deformation of the target's slight tilt and directly compare simple displacement graphics, resulting in large errors. There is also monitoring through a fiber grating sensor system, which senses the displacement change of the substrate by measuring the wavelength offset, but when there are many parts of the bridge that need to be monitored, the cost is high and it is difficult to fully cover. Summary of the invention

[0007] The present invention provides a bridge displacement accuracy monitoring system and method based on intelligent sensing technology. By positioning high-precision displacement cameras at both ends, the real-time reference coordinates of the monitoring units at both ends when shooting are calculated, and by positioning multiple monitoring units relative to each other, the real-time reference coordinates of all high-precision displacement cameras when shooting are obtained, thereby eliminating the influence of the displacement of the high-precision displacement camera itself on the overall monitoring when the monitoring unit is shooting, so as to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a bridge displacement accuracy monitoring system based on intelligent sensing technology, including multiple monitoring units arranged in the length direction under the bridge, each monitoring unit including a high-precision displacement camera and multiple targets; multiple monitoring units constitute interval coverage of the bridge, and the multiple monitoring units are positioned with each other through a first positioning system, so that the multiple monitoring units form a complete monitoring chain, and the monitoring chain is wirelessly connected to a cloud server outside, and is displayed and monitored in real time through a monitoring control terminal, and a second positioning system is installed at both ends of the bridge to position the high-precision displacement cameras of the monitoring units at both ends, and the positioning system is used to calculate the real-time reference coordinates of the monitoring units at both ends when shooting.

[0009] Preferably, the first positioning system includes a fiber grating sensor component, the fiber grating sensor component includes an optical fiber, the optical fiber is arranged along the length direction of the bridge as a whole, a plurality of fiber grating sensor units are arranged on the optical fiber, the fiber grating sensor units are arranged at intervals on each of the monitoring units, and the number corresponds, each of the fiber grating sensor units corresponds to one of the targets of the monitoring unit, specifically, the fiber grating sensor unit includes a fiber sensor housing, a plurality of spaced fiber gratings are arranged on the surface of the fiber optic sensor housing, the direction of the fiber optic sensor housing is arranged along the width direction of the target, the fiber optic sensor housing is fixed below the bridge monitoring substrate, a mounting plate is also clamped between the fiber optic sensor housing and the monitoring substrate, the top of the target is fixedly connected to the mounting plate via a connecting column, the connecting column passes through the fiber optic sensor housing but avoids the fiber grating, and one optical fiber strings all the fiber grating sensor units together.

[0010] Preferably, two fiber optic Bragg grating sensor assemblies are provided, and the two fiber optic Bragg grating sensor assemblies are arranged on both sides of the length direction of the bridge. The targets on both sides of the monitoring unit are arranged at an angle so that the reflective surface faces the high-precision displacement camera, and the optical fiber smoothly transitions through the top of one of the targets of each monitoring unit.

[0011] Preferably, the directions of the high-precision displacement cameras of the monitoring units of adjacent groups are opposite, and the high-definition displacement cameras of the monitoring units at both ends of the bridge are located at the outer ends.

[0012] Preferably, the second positioning system includes three groups of fixed objects, and second high-definition cameras are arranged on the stable bases of the three groups of fixed objects. Three second targets are fixed on the bottom of the high-precision displacement cameras at both ends, and the three second targets are respectively facing the corresponding second high-definition cameras.

[0013] Preferably, the outer circle of the second target is a target reflective portion, the surface of the target reflective portion is diffusely reflective, and a circle is provided along the edge of the second target, and the width of the target reflective portion in the circle is the same.

[0014] Preferably, the middle portion of the second target is a diffuse reflection plate, and the top of the second high-definition camera is provided with a laser integrally connected thereto, the laser is directed toward the center of the diffuse reflection plate, and generates a light spot at the center of the diffuse reflection plate after irradiation.

[0015] Preferably, the surface of the target is provided with a plurality of triangular diamond-shaped protrusions, and triangular raised surfaces are formed on three sides of the triangular diamond-shaped protrusions, and the triangular raised surfaces are inclined to the surface of the target, and each of the triangular diamond-shaped protrusions forms a second target reflection surface, and each of the triangular diamond-shaped protrusions has the same direction, and the three second target reflection surfaces of the same triangular diamond-shaped protrusion use reflection surfaces with different chromatic aberrations, and the second target reflection surface is a diffuse reflection surface.

[0016] Preferably, the number of the triangular rhombus protrusions on each of the targets is the same, and the images formed by the triangular rhombus protrusions on different targets are different.

[0017] The present invention provides a monitoring method of a bridge displacement accuracy monitoring system based on intelligent sensing technology, comprising the following steps:

[0018] S1: Multiple high-precision displacement cameras arranged under the bridge are used to take high-definition and high-precision photos of the target, capturing the image of the target at regular intervals;

[0019] S2: The image data is transmitted to the central processing system of the cloud server. The central processing system analyzes the captured images and compares the displacement of the target image before and after the monitoring time;

[0020] S3: The fiber Bragg grating sensing unit performs displacement monitoring on one of the targets of all monitoring units to form a target monitoring chain. Then the displacement high-precision camera takes pictures of the targets on the target monitoring chain, calculates the relative coordinates of the displacement high-precision camera relative to the target, and calculates the coordinates of each displacement high-precision camera to form a complete monitoring chain.

[0021] S4: The second high-definition camera at both ends of the bridge takes pictures of the high-precision displacement cameras of the monitoring units at both ends;

[0022] S5: When the second high-definition camera is shooting, the position and size of the laser emitted by the laser on the second target change. The three-dimensional offset direction is calculated through the position change of the light spot, and the size and offset of the light spot are compared to obtain the real-time coordinates of the displacement high-precision camera. Through the mutual positioning between multiple monitoring units, the displacement offset of all displacement high-precision cameras when shooting is obtained, eliminating the impact on the overall monitoring caused by the displacement of the displacement high-precision camera itself when the monitoring unit is shooting;

[0023] S6: Display and real-time monitoring through the monitoring control terminal;

[0024] S7: The entire monitoring chain is calibrated in real time to complete the intelligent sensing accuracy monitoring of bridge displacement after eliminating the influence of the camera's own offset.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. By positioning the high-precision displacement cameras at both ends, the real-time reference coordinates of the monitoring units at both ends when shooting are calculated, and combined with the mutual positioning between multiple monitoring units, the displacement offset of all high-precision displacement cameras when shooting is obtained, eliminating the impact of the displacement of the high-precision displacement camera itself on the overall monitoring when the monitoring unit is shooting.

[0027] 2. By forming a self-positioning and calibrated monitoring chain, only a small number of fiber grating sensors are needed, in combination with multiple monitoring units, to achieve full coverage of bridge monitoring at a lower cost.

[0028] 3. The bridge positioning and shooting system can be led to both ends and combined with relatively stable buildings on the shore to achieve accurate positioning.

[0029] 4. Design an easily identifiable slightly tilted triangular diamond-shaped raised target, and coordinate it with the position change of the laser light spot to achieve real-time precision coordinates when all displacement high-precision cameras are shooting, eliminating the impact of the displacement of the high-precision camera itself on the overall monitoring when the monitoring unit is shooting.

[0030] 5. Since the offsets of the three target reflective surfaces are the same, three sets of offset data are obtained by calculation. The average of the offset data is taken to obtain a more accurate displacement of the high-precision camera. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the main structure of the present invention;

[0032] Figure 2 It is a schematic diagram of the structure of the monitoring unit of the present invention;

[0033] Figure 3 It is a schematic diagram of the structure of the fiber Bragg grating sensing unit of the present invention;

[0034] Figure 4 It is a schematic diagram of the arrangement of the fiber Bragg grating sensor assembly of the present invention;

[0035] Figure 5 is a schematic structural diagram of a second positioning system of the present invention;

[0036] Figure 6 This is a schematic diagram of monitoring the second target light spot of the present invention;

[0037] Figure 7 This is a schematic diagram of the second target light spot after displacement of the present invention;

[0038] Figure 8 This is a schematic diagram of the triangular diamond-shaped protruding target of the present invention. Figure 1 ;

[0039] Fig. 9 This is a schematic diagram of the triangular diamond-shaped protruding target of the present invention. Figure 2 ;

[0040] Fig.10 It is a schematic diagram of the triangular rhombus convex three-dimensional structure of the present invention;

[0041] Fig.11 It is a schematic diagram of the monitoring method flow of the present invention.

[0042] In the figure: 1. bridge; 2. monitoring unit; 3. high-precision displacement camera; 4. target; 5. cloud server; 6. monitoring and control terminal; 7. optical fiber; 8. fiber grating sensing unit; 9. optical fiber sensor housing; 10. fiber grating; 11. mounting plate; 12. fixture; 13. second high-definition camera; 14. second target; 15. target reflective part; 16. laser; 17. light spot. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] See also Figure 1-Figure 2The present invention provides a bridge displacement accuracy monitoring system based on intelligent sensing technology, including multiple monitoring units 2 arranged in the length direction under the bridge 1, each monitoring unit 2 includes a high-precision displacement camera 3 and multiple targets 4; the high-precision displacement camera 3 can clearly take high-definition and accurate photos of the target 4, and each target 4 does not interfere with the shooting of other targets 4. The multiple monitoring units 2 are spaced apart to form an overall coverage of the bridge 1. The monitoring units 2 are arranged at the structures that need to be monitored according to the actual distance of the bridge, and the targets 4 are arranged according to the corresponding requirements. The multiple monitoring units 2 are positioned with each other through a first positioning system, so that the multiple monitoring units 2 form a complete monitoring chain. The monitoring chain is wirelessly connected to a cloud server 5. All high-precision displacement cameras 3 will capture images of the target 4 at regular intervals and transmit the data to the central processing system of the cloud server 5. The central processing system uses conventional image processing algorithms to analyze the captured images and compare the displacement of the target 4 images before and after the monitoring time, so as to obtain the dynamic displacement data of the bridge; specifically, the high-precision displacement camera 3 can capture the image of the target 4 at regular intervals and transmit the data to the central processing system of the cloud server 5. The central processing system uses conventional image processing algorithms to analyze the captured images and compare the displacement of the target 4 images before and after the monitoring time, so as to obtain the dynamic displacement data of the bridge. The camera 3 has a built-in sensor, which obtains the vibration image of the target related to time through the visual sensor, that is, a two-dimensional image screen is collected at a discrete time point, and the images at multiple adjacent time points form a data matrix, the first dimension is the horizontal direction of the image, the second dimension is the vertical direction of the image, and the third dimension is time. By processing the two-dimensional image data at multiple adjacent time points, the displacement is calculated by comparison, and the dynamic displacement data of the bridge is obtained; and it is displayed and monitored in real time through the monitoring control terminal 6; the two ends of the bridge 1 are equipped with a second positioning system for positioning the displacement high-precision cameras 3 of the monitoring units 2 at both ends. The positioning system is used to calculate the real-time reference coordinates of the monitoring units 2 at both ends when shooting, and obtain the offset displacement of the displacement high-precision cameras 3 at both ends. Through the mutual positioning between the multiple monitoring units 2 through the first positioning system, that is, the coordinate conditions of all the displacement high-precision cameras 3 when shooting are interrelated, the offset displacement of all the displacement high-precision cameras 3 is obtained, and then data correction is performed to eliminate the influence of the displacement of the displacement high-precision cameras 3 themselves when the monitoring units 2 shoot. On the overall monitoring.

[0045] See also Figure 3-Figure 4As a further embodiment, the first positioning system includes a fiber grating sensor component, the fiber grating sensor component includes an optical fiber 7, the optical fiber 7 is arranged along the length direction of the bridge 1 as a whole, a plurality of fiber grating sensor units 8 are arranged on the optical fiber 7, and the fiber grating sensor units 8 are arranged at intervals on each of the monitoring units 2, that is, the number of fiber grating sensor units 8 corresponds to the number of monitoring units 2, and each fiber grating sensor unit 8 corresponds to one of the targets 4 of the monitoring unit 2; specifically, the fiber grating sensor unit 8 includes a fiber sensor housing 9, the fiber sensor housing 9 is preferably a carbon fiber tape, a plurality of spaced fiber gratings 10 are arranged on the surface thereof, and the direction of the fiber sensor housing 9 is along the width of the target 4 The optical fiber sensor housing 9 is arranged in the direction of degrees, and is fixed below the monitoring substrate of the bridge 1. A mounting plate 11 is also sandwiched between the optical fiber sensor housing 9 and the optical fiber grating 10 and the monitoring substrate. The mounting plate 11 is preferably a hard plate so that its relative position with the target 4 remains unchanged. The fixing method includes bonding the lower surface of the substrate with a colloid, and then the two ends of the optical fiber sensor housing 9 are fixed as a whole below the substrate through expansion screws. At the same time, a connecting column fixedly connected to the mounting plate 11 is provided on the top of the target 4. The connecting column passes through the optical fiber sensor housing 9 but avoids the optical fiber grating 10. One optical fiber 7 strings together all the optical fiber grating sensing units 8. When working, the starting part of the optical fiber grating 10 provides a stable optical signal input. The commonly used The light source includes a broadband light source, such as a superluminescent diode SLD, and a tunable light source. When the monitoring substrate changes, the mounting plate 11 tilts accordingly, which will cause the refractive index and length of the fiber grating 10 below to change, thereby causing the wavelength of the reflected light to shift. This wavelength shift has a one-to-one correspondence with the change in physical quantity. Therefore, the displacement change of the substrate can be sensed by measuring the wavelength shift. It is used to transmit the light signal emitted by the light source to the fiber grating sensing unit 8, and transmit the light signal reflected by the sensor back to the demodulation unit. The demodulation unit is responsible for converting the light signal reflected by the sensor into an electrical signal and demodulating the wavelength offset. The demodulation technology includes filtering method, interference method, adjustable narrow-band light source method, etc. The electrical signal output by the demodulation unit is further The processing and analysis includes signal amplification, filtering, analog-to-digital conversion and subsequent data processing and analysis, so as to monitor the mounting plate 11 that is offset due to the deformation of the substrate. The relative position of the mounting plate 11 and the corresponding target 4 is fixed, and the displacement of the corresponding target 4 is further monitored, and a series of positioning target monitoring chains that know the offset are formed; since the coordinates of all targets 4 installed for monitoring are known and positioned, the displacement of the positioning target 4 after offset during use can be known in real time through the monitoring chain, and then the displacement high-precision camera 3 shoots the positioning target 4 on the target monitoring chain to calculate the relative coordinates, so that the relative coordinates of all displacement high-precision cameras 3 can be easily calculated through the coordinate change of the target 4, and the displacement high-precision cameras 3 of all monitoring units 2 form a monitoring chain in real time.

[0046] See also Figure 4 As a further embodiment, two fiber grating sensor components are provided, and the two fiber grating sensor components are arranged on both sides of the length direction of the bridge 1. The targets 4 on both sides of the monitoring unit 2 are arranged tilted so that the reflective surface faces the high-precision displacement camera 3. The optical fiber 7 smoothly transitions through one of the targets 4 of each monitoring unit 2. The tilt direction of the fiber grating sensor unit 8 and the length direction of the optical fiber 7 are transitioned at an angle greater than 120°, which can avoid excessive bending, reduce the impact of bending, and improve monitoring accuracy.

[0047] See also Figure 1 As a further embodiment, the directions of the high-precision displacement cameras 3 of the monitoring units 2 of adjacent groups are opposite, and the high-definition displacement cameras 3 of the monitoring units 2 at both ends of the bridge 1 are located at the outer ends, so that the high-precision displacement cameras 3 positioned by the second positioning system are conveniently placed close to the shore, thereby reducing the monitoring distance from the shore fixed objects and improving the monitoring accuracy.

[0048] See also Figure 1 , Figure 5 As a further embodiment, the second positioning system includes three groups of fixed objects 12, and the fixed objects 12 are selected as stable substrates at a close distance to the shore, such as buildings, etc. Second high-definition cameras 13 are arranged on the stable substrates of the three groups of fixed objects 12, and three second targets 14 are fixed at the bottom of the displacement high-precision cameras 3 at both ends, and the three second targets 14 are respectively facing the corresponding second high-definition cameras 13.

[0049] See also Figure 6 As a further embodiment, the outer circle of the second target 14 is a target reflective part 15, the surface of the target reflective part 15 is diffusely reflective, and a circle is provided along the edge of the second target 14. The width of the target reflective part 15 in the circle is the same, and the reflective color difference between the target reflective part 15 and the middle part is selected to be large. The reflective image of the target reflective part 15 is timed by the second high-definition camera 13, and the data is transmitted to the central processing system of the cloud server 5. The central processing system uses conventional image processing algorithms to analyze the captured images and compare the displacement of the second target 14 image before and after the monitoring time, so as to obtain the coordinates of the high-precision cameras 3 at both ends when shooting, and compare with the basic coordinates of the high-precision camera 3 with the displacement to obtain the offset, and then correct the monitoring data in real time.

[0050] See also Figure 6-Figure 7As a further embodiment, the middle part of the second target 14 is a diffuse reflection plate, and the top of the second high-definition camera 13 is provided with a laser 16 integrally connected thereto, and the laser 16 faces the center of the diffuse reflection plate. The size of the diffuse reflection plate is selected so that after sufficient deformation, the laser of the laser 16 can still irradiate the diffuse reflection plate after emission, and after the laser emission, a light spot 17 can be generated in the center of the diffuse reflection plate. Although the coordinate positioning can be performed by photographing the target reflective part 15 by the second high-definition camera 13, since the target reflective part 15 is a traditional planar target form, since it is a planar target, although the target is a diffuse reflection plate, after the target is slightly tilted, the displacement camera only compares the front and rear target graphics, and it is difficult to calculate the tilt change through graphic processing. The current displacement camera generally ignores the deformation of the target micro-tilt and directly compares the graphics for simple displacement, resulting in large errors. After the second high-definition camera 13 captures the light spot 17, it is transmitted to the computing center for processing. The coordinates of the light spot 17 on the three diffuse reflection plates of the second targets 14 constitute a three-dimensional coordinate system. Since the three second targets 14 are integrally fixed on the second high-definition cameras 13 at both ends of the bridge 1, the three-dimensional coordinates of the three light spots 17 correspond to the three-dimensional basic coordinates of the second high-definition camera 13. Then, the computing center includes the position and size changes of the laser emitted by the laser 16 on the second target 14 after the light spot 17 is displaced. The three-dimensional offset direction can be directly calculated through the position change of the light spot. Then, combined with the size change of the light spot 17, the central system of the cloud server 5 adopts the above-mentioned graphic recognition calculation to obtain the offset in the corresponding direction. When calculating the size of the light spot 17, due to the large color difference between the light spot 17 and the surrounding area, the camera will enlarge the captured image and perform convolution processing. The edge of the image of the light spot 17 is directly obtained, and then the circle composed of the edge lines of the light spot 17 is obtained. The area can be directly calculated through the circle, and then the offset can be obtained by calculating the area difference before and after. Then, the size and offset of the light spot 17 can be compared by the second high-definition camera 13 after shooting, and the real-time coordinates of the high-precision displacement camera 3 can be obtained. This not only saves the deformation of the micro-tilt that cannot be calculated with high precision by traditional graphics, but also saves the amount of graphic comparison calculation by simply calculating the size of the light spot; and then the coordinate positioning of the entire monitoring chain is carried out in real time. Taking into account the inevitable errors, the second positioning system at both ends will calculate two sets of displacement high-precision camera 3 coordinate positioning data, and the two sets of positioning data results are weighted averaged to obtain the comprehensive positioning coordinates, which can further compare the positioning data generated by the first positioning system camera shooting the positioning target, and then weighted average again to achieve precise positioning.

[0051] See also Figure 8-Figure 10As a further embodiment, the surface of the target 4 is provided with a plurality of triangular rhombus protrusions 18, and the triangular rhombus protrusions 18 form triangular protrusion surfaces on three sides, and the triangular protrusion surfaces are inclined with respect to the surface of the target 4, and each of the triangular protrusion surfaces forms a second target reflection surface 19, and each of the triangular rhombus protrusions has the same direction, and the three second target reflection surfaces 19 of the same triangular rhombus protrusion are reflection surfaces with different chromatic aberrations, and the second target reflection surface 19 is a diffuse reflection surface. When the second target reflection surface 19 of the target 4 is photographed by the displacement high-precision camera 3, the triangular reflection surface will turn the surface of the corresponding angle toward the camera, and then the camera will collect images of the surface. Since the traditional target surface is a plane, after the target is slightly tilted, the high-precision camera 3 will not be able to capture the image. It is difficult for the camera to process and calculate the inclination angle of the two target graphics before and after the monitoring time; by setting the triangular rhombus protrusions on three sides to form triangular protrusions, before and after the monitoring time, when the target 4 is offset, the area of ​​each corresponding triangular rhombus protrusion facing the camera changes, and the position of the triangle changes. Since the positions of the three second target reflection surfaces 19 relative to the target remain unchanged, the offset conditions are the same, and the offset conditions can be obtained by calculating the offset of each of the second target reflection surfaces 19, and the displacement conditions can be obtained according to the position change of the triangle. The three second target reflection surfaces 19 are calculated to obtain three sets of offset data. Since the offsets of the three second target reflection surfaces 19 are the same, the offset data are averaged to obtain the precise offset conditions.

[0052] See also Figure 8-Figure 10 As a further embodiment, the number of the triangular diamond-shaped protrusions 18 on each of the targets 4 is the same, and the images formed by the triangular diamond-shaped protrusions 18 of different targets 4 are different. The image taken by the camera can clearly identify each target and perform intelligent encoding, which is convenient for subsequent cloud computing to establish a dynamic monitoring chain and real-time monitoring.

[0053] See also Fig.11 The present invention provides a monitoring method of a bridge displacement accuracy monitoring system based on intelligent sensing technology, comprising the following steps:

[0054] S1: A plurality of displacement high-precision cameras 3 arranged under the bridge are used to take high-definition and high-precision photos of the target 4, and the images of the target 4 are captured at regular intervals;

[0055] S2: All displacement high-precision cameras 3 capture images of the target 4 at regular intervals and transmit the data to the central processing system of the cloud server 5. The central processing system analyzes the captured images and compares the displacement of the target 4 images before and after the monitoring time;

[0056] S3: The fiber grating sensing unit performs displacement monitoring on one of the targets 4 of all the monitoring units 2 to form a target monitoring chain, and then the displacement high-precision camera 3 photographs the target 4 on the target monitoring chain, calculates the relative coordinates of the displacement high-precision camera 3 relative to the target 4, and calculates the coordinates of each displacement high-precision camera 3 to form a complete monitoring chain;

[0057] S4: The second high-definition cameras 13 at both ends of the bridge shoot the high-precision displacement cameras 3 of the monitoring units 2 at both ends;

[0058] S5: When the second high-definition camera 13 shoots, the position and size of the laser emitted by the laser 16 on the second target 14 change. The offset direction of the light spot in the three-dimensional direction is calculated by the position change of the light spot, and the size and offset of the light spot 17 are compared to obtain the real-time coordinates of the displacement high-precision camera 3. Through the mutual positioning between multiple monitoring units 2, the real-time reference coordinates of all displacement high-precision cameras 3 when shooting are obtained, eliminating the influence of the displacement of the displacement high-precision camera 3 itself when the monitoring unit 2 shoots on the overall monitoring;

[0059] S6: Display and real-time monitoring through monitoring control terminal 6;

[0060] S7: The entire monitoring chain is calibrated in real time to complete the intelligent sensing accuracy monitoring of bridge displacement after eliminating the influence of the camera's own offset.

[0061] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A bridge displacement accuracy monitoring system based on intelligent sensing technology, characterized in that: It includes multiple monitoring units arranged in the length direction under the bridge, each monitoring unit includes a displacement high-precision camera and multiple targets; multiple monitoring units constitute interval coverage of the bridge, and the multiple monitoring units are positioned with each other through a first positioning system, so that the multiple monitoring units form a complete monitoring chain, and the monitoring chain is wirelessly connected to a cloud server outside, and displayed and monitored in real time through a monitoring control terminal. The two ends of the bridge are equipped with a second positioning system for positioning the displacement high-precision cameras of the monitoring units at both ends, and the positioning system is used to calculate the real-time reference coordinates of the monitoring units at both ends when shooting.

2. According to claim 1, a bridge displacement accuracy monitoring system based on intelligent sensing technology is characterized in that: The first positioning system includes a fiber grating sensor component, and the fiber grating sensor component includes an optical fiber. The optical fiber is arranged along the length direction of the bridge as a whole. A plurality of fiber grating sensor units are arranged on the optical fiber. The fiber grating sensor units are arranged at intervals on each of the monitoring units, and the number corresponds. Each fiber grating sensor unit corresponds to one of the targets of the monitoring unit. Specifically, the fiber grating sensor unit includes a fiber sensor housing, and a plurality of spaced fiber gratings are arranged on the surface of the fiber grating. The direction of the fiber sensor housing is arranged along the width direction of the target. The fiber sensor housing is fixed below the bridge monitoring substrate. A mounting plate is also clamped between the fiber sensor housing and the monitoring substrate. The top of the target is fixedly connected to the mounting plate via a connecting column. The connecting column passes through the fiber sensor housing but avoids the fiber grating. One optical fiber strings all the fiber grating sensor units together.

3. The bridge displacement accuracy monitoring system based on intelligent sensing technology according to claim 2 is characterized in that: The fiber optic Bragg grating sensor components are provided with two, and the two fiber optic Bragg grating sensor components are arranged on both sides of the length direction of the bridge. The targets on both sides of the monitoring unit are arranged tilted so that the reflective surface faces the high-precision displacement camera, and the optical fiber smoothly transitions through one of the targets of each monitoring unit.

4. The bridge displacement accuracy monitoring system based on intelligent sensing technology according to claim 2 is characterized in that: The directions of the high-precision displacement cameras of the adjacent groups of monitoring units are opposite, and the high-definition displacement cameras of the monitoring units at both ends of the bridge are located at the outer ends.

5. The bridge displacement accuracy monitoring system based on intelligent sensing technology according to claim 2 is characterized in that: The second positioning system includes three groups of fixed objects, and second high-definition cameras are arranged on the stable bases of the three groups of fixed objects. Three second targets are fixed on the bottoms of the high-precision displacement cameras at both ends, and the three second targets are respectively facing the corresponding second high-definition cameras.

6. The bridge displacement accuracy monitoring system based on intelligent sensing technology according to claim 5 is characterized in that: The outer circle of the second target is a target reflective portion, the surface of the target reflective portion is diffusely reflective, and a circle is provided along the edge of the second target, and the width of the target reflective portion in the circle is the same.

7. The bridge displacement accuracy monitoring system based on intelligent sensing technology according to claim 6 is characterized in that: The middle of the second target is a diffuse reflection plate, and a laser integrally connected to the second high-definition camera is provided on the top. The laser is directed toward the center of the diffuse reflection plate and generates a light spot at the center of the diffuse reflection plate after irradiation.

8. The bridge displacement accuracy monitoring system based on intelligent sensing technology according to claim 7 is characterized in that: The surface of the target is provided with a plurality of triangular diamond-shaped protrusions, and triangular raised surfaces are formed on three sides of the triangular diamond-shaped protrusions. The triangular raised surfaces are inclined to the surface of the target, and each of the triangular diamond-shaped protrusions forms a second target reflection surface. In addition, each of the triangular diamond-shaped protrusions has the same direction. The three second target reflection surfaces of the same triangular diamond-shaped protrusion have reflection surfaces with different chromatic aberrations, and the second target reflection surface is a diffuse reflection surface.

9. The bridge displacement accuracy monitoring system based on intelligent sensing technology according to claim 8 is characterized in that: The number of the triangular rhombus protrusions on each of the targets is the same, and the images formed by the triangular rhombus protrusions on different targets are different.

10. A monitoring method of a bridge displacement accuracy monitoring system based on the intelligent sensing technology of claim 9, characterized in that: The steps include: S1: Multiple high-precision displacement cameras arranged under the bridge are used to take high-definition and high-precision photos of the target, capturing the image of the target at regular intervals; S2: The image data is transmitted to the central processing system of the cloud server. The central processing system analyzes the captured images and compares the displacement of the target image before and after the monitoring time; S3: The fiber Bragg grating sensing unit performs displacement monitoring on one of the targets of all monitoring units to form a target monitoring chain. Then the displacement high-precision camera takes pictures of the targets on the target monitoring chain, calculates the relative coordinates of the displacement high-precision camera relative to the target, and calculates the coordinates of each displacement high-precision camera to form a complete monitoring chain. S4: The second high-definition camera at both ends of the bridge takes pictures of the high-precision displacement cameras of the monitoring units at both ends; S5: When the second high-definition camera is shooting, the position and size of the laser emitted by the laser on the second target change. The three-dimensional offset direction is calculated through the position change of the light spot, and the size and offset of the light spot are compared to obtain the real-time coordinates of the displacement high-precision camera. Through the mutual positioning between multiple monitoring units, the displacement offset of all displacement high-precision cameras when shooting is obtained, eliminating the impact on the overall monitoring caused by the displacement of the displacement high-precision camera itself when the monitoring unit is shooting; S6: Display and real-time monitoring through the monitoring control terminal; S7: The entire monitoring chain is calibrated in real time to complete the intelligent sensing accuracy monitoring of bridge displacement after eliminating the influence of the camera's own offset.

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