CN214737936U - Foundation ditch deformation multi-angle monitoring devices based on machine vision - Google Patents
Foundation ditch deformation multi-angle monitoring devices based on machine vision Download PDFInfo
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- CN214737936U CN214737936U CN202120467709.8U CN202120467709U CN214737936U CN 214737936 U CN214737936 U CN 214737936U CN 202120467709 U CN202120467709 U CN 202120467709U CN 214737936 U CN214737936 U CN 214737936U
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Abstract
The utility model belongs to the technical field of foundation ditch monitoring, specifically be a foundation ditch warp multi-angle monitoring devices based on machine vision, the device mainly comprises track, data acquisition device, data processing apparatus and elevating gear. The lifting device and the data acquisition device are fixed on the track, and the data processing device is wirelessly connected with the data acquisition device for receiving. The device realizes the deformation monitoring of foundation ditch with the help of machine vision principle, can replace monitoring personnel to implement long-time monitoring, reaches the purpose of monitoring often, greatly liberates the manpower, has practiced thrift engineering cost, and the device can realize multi-angle rotating simultaneously, can carry out image acquisition to the mark point of different operating modes department, and traditional monitoring facilities relatively has advantages such as with low costs, precision height.
Description
Technical Field
The utility model belongs to the technical field of the technique of foundation ditch monitoring and specifically relates to a foundation ditch warp multi-angle monitoring devices based on machine vision.
Background
In recent years, with the continuous acceleration of urbanization progress in China, underground facilities are more and more constructed. However, the urbanization construction will lead to the tension of land, and in order to solve the contradiction, the development and utilization of underground space become an important way to solve the contradiction. The development of underground space has appeared a large amount of deep foundation pits, so the construction environment and geological conditions of foundation pit excavation become more and more complicated, various construction safety problems are caused, a large amount of casualties and economic losses are caused, and serious social influences are caused, for example, in 2019, 4 months, foundation pit soil body landslide occurs in the ancient transportation new garden district fourth-period project B2 land in Guangzhou city, Guangzhou province, 5 people die, and direct economic losses of over 600 ten thousand yuan are caused.
In order to ensure the stability and the safety of foundation pit excavation and prevent the occurrence of foundation pit instability accidents, a reasonable monitoring means is used for the foundation pit excavation. At present, monitoring devices commonly used are total stations, horizontal monitoring instruments and the like, and these monitoring devices are very easily influenced by weather and personnel conditions in the monitoring process, monitoring personnel must stay in a monitoring place for a long time, deformation of a foundation pit is monitored through the monitoring devices, and if the weather condition is not good, monitoring is further influenced, and time and labor are wasted.
The existing monitoring device wastes a large amount of manpower and material resources, can not monitor the deformation of the foundation pit in real time, and urgently needs a monitoring device which can monitor in real time and can save manpower and material resources in engineering. This use is novel to provide a foundation ditch deformation multi-angle monitoring devices based on machine vision for this reason, the device includes the track, data acquisition device, data processing device and elevating gear, gather image data through binocular camera, then carry out image processing through the computer, acquire the monitoring point three-dimensional space coordinate of foundation ditch, the three-dimensional space coordinate of rebuilding carries out contrastive analysis with original situation, thereby obtain the real-time deflection of foundation ditch monitoring point, when the deflection surpassed the threshold value of settlement, alarm device will realize reporting to the police, be convenient for in time take corresponding measure to the foundation ditch, prevent the emergence of foundation ditch incident.
Disclosure of Invention
For solving current foundation ditch deformation monitoring devices's limitation, the utility model provides a foundation ditch deformation multi-angle monitoring devices based on machine vision both can use manpower sparingly material resources, can be to realizing the real-time deformation monitoring of foundation ditch, quick early warning simultaneously again.
In order to achieve the above object, the utility model provides a foundation ditch deformation multi-angle monitoring devices based on machine vision, the device includes following technical scheme.
A multi-angle monitoring device for foundation pit deformation based on machine vision mainly comprises a track, a data acquisition device, a data processing device and a lifting device. The rail comprises rail fixing holes at the bottom and sliding grooves distributed on two sides, bolts are arranged in the sliding grooves, and lock catches are arranged on the bolts; the lifting device comprises a base, a hydraulic lifting rod and a connecting disc, wherein the base is fixed on the track through bolts, the hydraulic lifting rod is welded on the base, and the connecting disc is connected with the hydraulic lifting rod through bolts; the data acquisition device is placed on the connecting disc and mainly comprises a protective cover, a control chip is integrated in the protective cover, and a CCD binocular camera, an infrared lamp, an automatic dustproof door and a wireless data transmitting and storing device are arranged outside the protective cover; the data processing device mainly comprises a computer, a power supply, an alarm device and a wireless data receiving device, wherein the wireless data receiving device, the alarm device and the power supply are respectively connected with the computer.
The further setting is that:
the rail is fixed on the foundation pit crown beam by driving screws into the rail fixing holes; the bolt in the sliding groove drives the base and the upper device to move through the sliding groove; the lock catch can be screwed to play a role in preventing the base from loosening.
The connecting disc can realize multi-angle rotation, and the hydraulic lifting rod can adjust the height of the upper device.
The CCD binocular camera in the data acquisition device realizes the adjustment of the zoom lens, ensures the definition of shot images, realizes the calibration according to a Zhang Zhengyou calibration method, and obtains the internal parameter matrix and the external parameter matrix of the left camera and the right camera.
The automatic dustproof door is automatically opened after the power switch is opened, and is automatically closed after the power switch is closed, so that the CCD binocular camera is protected.
And the infrared lamp is used for supplementing light at the mark point.
And when the deformation of the foundation pit calculated in the computer is larger than a set threshold value, the alarm device automatically alarms.
Compared with the prior art, the utility model discloses there is following beneficial effect:
(1) the utility model provides a foundation ditch deformation multi-angle monitoring devices based on machine vision, the device need not monitoring personnel and measures the monitoring to the scene through machine vision's principle, has liberated the manpower to a certain extent, has practiced thrift engineering cost.
(2) The image obtained through machine vision utilizes a corresponding processing algorithm of a computer to realize the calculation of the three-dimensional space coordinates of the monitoring points of the foundation pit, and the calculation is compared with the three-dimensional coordinates of the original foundation pit monitoring points for analysis, so that the deformation condition of the monitoring points is calculated, and early warning is carried out through an alarm device, so that the condition of finding the local deformation of the foundation pit in time is achieved. Meanwhile, the data acquisition device is integrated with an infrared lamp, so that the monitoring points can be supplemented with light, and the purpose of real-time monitoring is achieved.
(3) Compared with monitoring devices such as a total station, the device has the advantages of low cost and good effect, and has certain popularization value.
Drawings
FIG. 1 is the utility model discloses a foundation ditch warp multi-angle monitoring devices schematic structure based on machine vision
FIG. 2 is the utility model discloses a foundation ditch warp multi-angle monitoring devices track schematic diagram based on machine vision
FIG. 3 is the utility model discloses a foundation ditch deformation multi-angle monitoring devices connection pad enlargies schematic diagram based on machine vision
FIG. 4 is the utility model discloses a foundation ditch warp multi-angle monitoring devices's concrete implementation step based on machine vision
In the figure: 1. a power source; 2. a computer; 3. an alarm device; 4. a wireless data receiving device; 5. a track; 5.1. a rail fixing hole; 6. a sliding groove; 7. locking; 8. marking points; 9. a power switch; 10. a wireless data transmission storage device; 11. a protective cover; 12. an automatic dust-proof door; 13. an infrared lamp; 14, a CCD binocular camera; 15. a connecting disc; 16. a hydraulic lifting rod; 17. a base; 18. and (4) bolts.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings.
As shown in figures 1-3, a foundation pit deformation multi-angle monitoring device based on machine vision mainly comprises a track, a data acquisition device, a data processing device and a lifting device. The track 5 comprises track fixing holes 5.1 at the bottom and sliding grooves 6 distributed on two sides, bolts 18 are arranged in the sliding grooves 6, and the bolts 18 are provided with lock catches 7; the lifting device comprises a base 17, a hydraulic lifting rod 16 and a connecting disc 15, wherein the base 17 is fixed on the track 5 through a bolt 18, the hydraulic lifting rod 16 is welded on the base 17, and the connecting disc 15 is connected with the hydraulic lifting rod 16 through a bolt; the data acquisition device is placed on the connecting disc 15 and mainly comprises a protective cover 11, a control chip is integrated in the protective cover 11, and a CCD binocular camera 14, an infrared lamp 13, an automatic dustproof door 12 and a wireless data transmitting and storing device 10 are arranged on an external visible device; the data processing device mainly comprises a computer 2, a power supply 1, an alarm device 3 and a wireless data receiving device 4, wherein the wireless data receiving device 4, the alarm device 3 and the power supply 1 are respectively connected with the computer 2.
The rail 5 is fixed on the foundation pit crown beam by driving screws into the rail fixing holes 5.1; the bolt 18 in the sliding groove drives the base 17 and the upper device to move through the sliding groove 6; the lock catch 7 can be screwed to prevent the base 17 from loosening.
The connecting disc 15 can realize multi-angle rotation, and the hydraulic lifting rod 16 can adjust the height of the upper device.
The CCD binocular camera 14 in the data acquisition device realizes zoom lens adjustment to ensure the definition of shot images, and meanwhile, the CCD binocular camera 14 realizes calibration according to a Zhang Zhen Yong calibration method to obtain an internal parameter matrix and an external parameter matrix of a left camera and a right camera.
The automatic dustproof door 12 is automatically opened after the power switch 9 is opened, and is automatically closed after the power switch 9 is closed, so that the CCD binocular camera 14 is protected.
And the infrared lamp 13 is used for supplementing light at the mark point 8.
And when the foundation pit deformation calculated by the computer 1 is greater than a set threshold value, the alarm device 3 automatically gives an alarm.
As shown in FIG. 4, the foundation pit deformation multi-angle monitoring device based on machine vision is used for monitoring deformation.
The following describes the steps of the present invention with reference to the accompanying drawings and examples.
And S1, determining a foundation pit monitoring point, and arranging an artificial marking point 8 on the foundation pit by means of fluorescent paint.
And S2, arranging the device in place, fixing the device rail 5 on a foundation pit crown beam, moving the equipment to the position of a mark point 8 through the combined action of a sliding groove 6 and a bolt 18, adjusting the height of the upper equipment through a hydraulic lifting rod 16, adjusting the angle of a connecting disc 15, starting a power switch 9, connecting a power supply 1, an alarm device 3 and a wireless data receiving device 4 in the indoor data processing device with a computer 2, and testing the image control and receiving conditions of the computer 2.
And S3, acquiring images, adjusting light source supply according to environmental conditions, controlling a control chip in the protective cover 11 through the computer 2, setting the interval time of the acquired images, and acquiring the images of the foundation pit mark points 8 by the CCD binocular camera 14 after the interval time is set.
And S4, wireless data transmission, namely, the foundation pit image transmission is realized through the wireless data sending and storing device 10, and the foundation pit mark point 8 image is obtained by the wireless data receiving device 4 and is uploaded to the computer 2.
S5, image monitoring point deformation calculation, wherein the computer 2 can combine the acquired image with an environmental image optimization pretreatment such as a rain removing algorithm based on deep learning, a scalar weight map to process under-exposure conditions, an image main structure extraction technology to process low-illumination environment, Gaussian filtering processing noise and the like, then uses a camera distortion parameter acquired by a Zhang calibration method to perform anti-distortion processing on the actually shot image, realizes the stereo matching of the measuring point by means of an image matching algorithm based on gray scale, combines a space-time context visual tracking (STC) algorithm and a UCC sub-pixel image registration technology to realize the image tracking of the monitoring point, and finally adopts a binocular vision measurement model (the calculation formula is shown below).
The monitoring points 16 are respectively projected as P on the CCD binocular camera 111(u1,v1) And P2(u2,v2) Then, from the camera ideal linear model, we can obtain:
in the formula (u)1,v11) and (u)2,v21) are each P1And P2The pixel homogeneous coordinate of the point in the left and right images, (X, Y, Z,1) is the homogeneous coordinate of P in the world coordinate system,
and
the corresponding element value can be obtained from the internal parameter and external parameter matrix of the camera. The above equations each contain three equations, eliminating ZC1And ZC2The following can be obtained:
the physical meaning of the above formula is a straight line C1P1And C2P2Therefore, (X, Y, Z) meeting the above equation is the coordinate of P in the world coordinate system, the calculation of the spatial coordinates can be realized by means of the least square method, the displacement value of the measuring point can be quantified after the spatial coordinates of the measuring point in each frame image are obtained, and the deformation condition of the foundation pit can be determined.
And S6, the alarm system gives an alarm, determines the deformation condition of the foundation pit after the processing of the computer 2, determines whether to trigger the alarm device 3 according to a preset deformation threshold, when the deformation exceeds the preset threshold, the alarm device 3 gives an alarm, otherwise, the data acquisition device continues to acquire images, and the steps are repeated to achieve the purpose of monitoring the deformation of the foundation pit in real time.
Claims (7)
1. A foundation pit deformation multi-angle monitoring device based on machine vision mainly comprises a track, a data acquisition device, a data processing device and a lifting device, wherein the track (5) comprises track fixing holes (5.1) at the bottom and sliding grooves (6) distributed on two sides, bolts (18) are arranged in the sliding grooves (6), and lock catches (7) are arranged on the bolts (18); the lifting device comprises a base (17), a hydraulic lifting rod (16) and a connecting disc (15), wherein the base (17) is fixed on the track (5) through a bolt (18), the hydraulic lifting rod (16) is welded on the base (17), and the connecting disc (15) is connected with the hydraulic lifting rod (16) through a bolt; the data acquisition device is placed on a connecting disc (15) and mainly comprises a protective cover (11), a control chip is integrated in the protective cover (11), and a CCD binocular camera (14), an infrared lamp (13), an automatic dustproof door (12) and a wireless data transmission and storage device (10) are arranged outside the protective cover; the data processing device mainly comprises a computer (2), a power supply (1), an alarm device (3) and a wireless data receiving device (4), wherein the wireless data receiving device (4), the alarm device (3) and the power supply (1) are respectively connected with the computer (2).
2. The foundation pit deformation multi-angle monitoring device based on the machine vision is characterized in that the rail (5) is fixed on a foundation pit crown beam through a screw driven into a rail fixing hole (5.1); a bolt (18) in the sliding groove drives the base (17) and the upper device to move through the sliding groove (6); the lock catch (7) can be screwed to prevent the base (17) from loosening.
3. The foundation pit deformation multi-angle monitoring device based on machine vision is characterized in that the connecting disc (15) can rotate in multiple angles, and the hydraulic lifting rod (16) can adjust the height of the upper device.
4. The foundation pit deformation multi-angle monitoring device based on machine vision is characterized in that a CCD binocular camera (14) in the data acquisition device achieves zoom lens adjustment to ensure the definition of shot images, and meanwhile, the CCD binocular camera (14) achieves calibration according to a Zhang Zhengyou calibration method to obtain an inner parameter matrix and an outer parameter matrix of a left camera and a right camera.
5. The foundation pit deformation multi-angle monitoring device based on machine vision is characterized in that the automatic dustproof door (12) is automatically opened after the power switch (9) is opened, and is automatically closed after the power switch (9) is closed, so that the CCD binocular camera (14) is protected.
6. The foundation pit deformation multi-angle monitoring device based on the machine vision is characterized in that the infrared lamp (13) is used for supplementing light at the mark point (8).
7. The foundation pit deformation multi-angle monitoring device based on the machine vision is characterized in that the alarm device (3) automatically gives an alarm when the foundation pit deformation calculated in the computer (2) is larger than a set threshold value.
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| CN202120467709.8U CN214737936U (en) | 2021-03-04 | 2021-03-04 | Foundation ditch deformation multi-angle monitoring devices based on machine vision |
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| CN202120467709.8U CN214737936U (en) | 2021-03-04 | 2021-03-04 | Foundation ditch deformation multi-angle monitoring devices based on machine vision |
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Granted publication date: 20211116 |