CN213337389U - Bridge bottom crack detection device based on image splicing technology - Google Patents

Bridge bottom crack detection device based on image splicing technology Download PDF

Info

Publication number
CN213337389U
CN213337389U CN202021225786.4U CN202021225786U CN213337389U CN 213337389 U CN213337389 U CN 213337389U CN 202021225786 U CN202021225786 U CN 202021225786U CN 213337389 U CN213337389 U CN 213337389U
Authority
CN
China
Prior art keywords
bridge
crack
bearing
camera
rotation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202021225786.4U
Other languages
Chinese (zh)
Inventor
王会峰
王改鹏
何娜娜
王鹏雁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xi'an Zhongce Control Technology Co ltd
Original Assignee
Xi'an Zhongce Control Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xi'an Zhongce Control Technology Co ltd filed Critical Xi'an Zhongce Control Technology Co ltd
Priority to CN202021225786.4U priority Critical patent/CN213337389U/en
Application granted granted Critical
Publication of CN213337389U publication Critical patent/CN213337389U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The utility model discloses a bridge bottom crack detection device based on image splicing technology, which utilizes 4 CCD cameras to shoot a picture at the bottom of a bridge, transmits the picture to a computer through a 4G DTU wireless transmission technology, obtains a complete crack image through a relevant picture splicing processing technology, calculates the width and the depth of a crack, and judges whether the crack needs to be remedied; the 4 cameras are vertically arranged, the lenses are upward and fixed on the fixed shaft in parallel, the fixed shaft is placed on a slideway below the bridge to be detected, and the cameras move on the slideway along with the rotation of the bearing to continuously shoot pictures at the bottom of the bridge; the shaft for fixing the camera is controlled by a motor to move forwards, backwards or stop; the positive rotation, the reverse rotation and the stop of two 220V alternating current synchronous motors are controlled by a single chip microcomputer (STM 32). The device for detecting the crack at the bottom of the bridge, which is designed in this way, ensures the definition and the integrity of the shot picture, is beneficial to post processing, does not need the rotation of a camera in this way, and is more stable and reliable.

Description

Bridge bottom crack detection device based on image splicing technology
Technical Field
The utility model belongs to the technical field of the bridge detects, particularly, be a bridge bottom crack detection device based on image mosaic technique.
Background
The bridge is a key part in a transportation network, plays an irreplaceable role in national economic construction, and plays a vital role in human civilization development and economic development, and loss caused by bridge safety accidents is immeasurable. Along with the development of bridge infrastructure construction in China, the traffic volume is greatly increased, the service time of a bridge is prolonged, the load capacity is increased day by day, and the proportion of bridge safety accidents is increased. Therefore, the method is particularly important for detecting the safety of the bridge. The detection of the crack degree of the bridge is an important index for maintaining and evaluating the safety performance of the bridge, and is directly related to whether the bridge can normally traffic and safely operate.
The bridge crack detection aims to obtain a complete crack picture through later-stage splicing treatment of the picture according to the pictures shot by the cameras, so that the width and the depth of the crack are calculated by the picture, standard maintenance and management rules are compared, and timely and effective maintenance and remediation are carried out on the damaged bridge. The current crack monitoring method in use is mainly bridge inspection vehicles.
At present, generally use bridge inspection car in the testing process, the correlation technique is also more ripe, but the testing process is long consuming time, and human cost is high, and especially inspection personnel are dangerous big under very high bridge during operation, and the elevating platform is difficult to send the staff to under the bridge floor when the pier span is too little and the scheduling problem still exists, awaits the opportune moment and solves.
Current image acquisition and crack extraction technique are in order to have better application, mostly shoot in the place of keeping away from the bridge, lead to the requirement to the camera too high, perhaps the picture effect is unsatisfactory, are unfavorable for the image processing work in later stage.
Therefore, in order to overcome the above problems, the accurate, automatic and online measurement for the bottom crack of the bridge is realized, and our utility model provides a bottom crack detection device for the bridge based on the image splicing technology.
SUMMERY OF THE UTILITY MODEL
A bridge bottom crack detection device based on an image splicing technology. Shooting a picture of the bottom of the bridge by using 4 CCD cameras, transmitting the picture to a computer by using a 4G DTU wireless transmission technology, obtaining a complete crack image by using a related picture splicing processing technology, then calculating the width and the depth of the crack, and judging whether the crack needs to be repaired or not; the 4 cameras are vertically arranged, the lenses are upward and fixed on the fixed shaft in parallel, the fixed shaft is placed on a slideway below the bridge to be detected, and the cameras move on the slideway along with the rotation of the bearing to continuously shoot pictures at the bottom of the bridge; the shaft for fixing the camera is controlled by a motor to move forwards, backwards or stop; the positive rotation, the reverse rotation and the stop of two 220V alternating current synchronous motors are controlled by a single chip microcomputer (STM 32). The device for detecting the crack at the bottom of the bridge, which is designed in this way, ensures the definition and the integrity of the shot picture, is beneficial to post processing, does not need the rotation of a camera in this way, and is more stable and reliable.
As shown in fig. 1, the utility model discloses main module includes power, fixed axle, slide, fixed screw, four cameras, two interchange synchronous motor, bearing, host system (STM32), wireless module (4G DTU), terminal server.
As shown in figure 1, the camera takes pictures at the initial position, then the motor is started, the camera slides forwards along with the rotation of the motor, the motor controlled by the single chip microcomputer stops rotating after the camera moves to a specified fixed distance, the camera is fixed at a position again, the pictures are continuously taken, and then the operation is repeated in a circulating mode until the camera moves to the tail end of the slide way. All pictures shot by the camera just cover the bottom surface of the detected bridge after being spliced. The same is true for the reverse direction walking process, wherein the forward rotation and the reverse rotation of the motor are stopped, and the rotation and the stay time are controlled by the single chip microcomputer. And the wireless transmission module 4G DTU connected with the single chip microcomputer transmits the shot pictures to a computer terminal for later image splicing and crack monitoring.
Drawings
Fig. 1 is a schematic view of the overall structure of the detection system.
Wherein: the system comprises a bridge, a camera, an alternating current synchronous motor, a bearing, a single chip microcomputer, a power supply, a transmission module, a server and a server, wherein the bridge is 1, the bridge is 2, a fixed shaft, a slideway, a fixing screw, a camera, an alternating current synchronous motor, a bearing, a single chip microcomputer, a power supply, a transmission module and a server are 3, 5 and 11.
Detailed Description
In order to make the purpose, technical solution and advantages of the present invention clearer, the following will combine the drawings in the embodiments of the present invention to perform more detailed description on the technical solution in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only some, but not all embodiments of the invention. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present invention, and should not be construed as limiting the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention. Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The utility model discloses in power, fixed axle, slide, fixed screw, four cameras, two exchange synchronous motor, bearing, host system (STM32), wireless module (4G DTU), terminal server all can purchase or private customization gained through the market.
The utility model discloses the MER-030 that uses in supplyes 120UM/UC series digital camera is by the most recent USB2.0 interface digital camera who develops and develops of big permanent image, adopts 1/4"Sony ICX618 CCD sensor chip, and the appearance is extremely small and exquisite compact, only is 29mm to integrated IO interface provides cable locking device, can stable work under various adverse circumstances, is high reliability, the industrial digital camera product of high performance-price ratio. The main control module selects STM32F103ZET6 of ST company as a main chip.
Examples 1,
The bridge with the simply supported beam structure is taken as an example for explanation so as to realize the monitoring of the crack on the bottom surface of the bridge. The method comprises the following specific steps:
step 1, as shown in fig. 1, two fixed shafts are respectively installed at the starting end and the ending end of the bottom of a bridge needing to detect cracks, two slide ways are installed on the fixed shafts, a bearing and a synchronous motor cross over two ends of each slide way, a support is fixed at a non-rotating part outside the bearing, four cameras of the same type are fixed on the support, the cameras are placed in parallel, and the lenses are fixed vertically upwards.
And 2, adjusting the distance from the camera to the bridge bottom according to the correlation coefficient of the camera to ensure that complete information of the bridge bottom surface is shot, and fixing all the equipment on the support.
And 3, supplying power to the motor, and enabling the camera to stably slide forwards through the rotation of the bearing, so that the rotation of a camera lens is reduced, and the shot picture is clearer and more reliable.
And 4, analyzing the pictures shot in the test, judging whether clear and complete images can be shot or not, adjusting the height and distance of the camera, and performing initial correction on all parts.
And 5, connecting and matching the wireless transmission module with a computer terminal to monitor the crack at the bottom of the bridge.

Claims (5)

1. The utility model provides a bridge bottom crack detection device based on image mosaic technique which characterized in that: the device comprises two slideways fixed on the bottom surface of a bridge, a bearing is arranged between the two slideways, a camera set is arranged on the bearing, the bearing moves in parallel along the direction of the slideways, and a camera shoots pictures of different parts of the bottom surface of the bridge;
the camera group moves on the slide way along with the rotation of the bearing to continuously shoot pictures at the bottom of the bridge; the camera is connected with a server through a 4G DTU wireless transmission technology, pictures are transmitted to the server, the server obtains a complete crack image through a picture splicing processing technology, and then the width and the depth of the crack are calculated, so that whether the crack needs to be remedied or not is judged;
the camera set is composed of four CCD cameras, the four CCD cameras are vertically arranged, lenses are upwards and parallelly fixed on the fixed shaft, the fixed shaft is placed on a slideway below a bridge to be detected, and the cameras move on the slideway along with the rotation of the bearing.
2. The bridge bottom crack detection device based on the image splicing technology as claimed in claim 1, wherein: the bridge bottom surface is provided with the fixed axle, the slide passes through the fixed axle to be installed at the bridge bottom surface.
3. The bridge bottom crack detection device based on the image splicing technology as claimed in claim 1, wherein: the two ends of the bearing are provided with an alternating current synchronous motor, and the bearing is controlled to move forwards, backwards or stop by the alternating current synchronous motor; the positive rotation, the reverse rotation and the stop of the alternating current synchronous motor are controlled by the single chip microcomputer.
4. The bridge bottom crack detection device based on the image splicing technology as claimed in claim 1, wherein: the camera is an MER-030-.
5. The bridge bottom crack detection device based on the image splicing technology as claimed in claim 1, wherein: the four CCD cameras are arranged side by side and fixed at the non-rotating part of the outer diameter of the bearing, and slide forwards along with the rotation of the motor; the four CCD cameras take pictures covering the whole bridge bottom to be monitored.
CN202021225786.4U 2020-06-29 2020-06-29 Bridge bottom crack detection device based on image splicing technology Active CN213337389U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202021225786.4U CN213337389U (en) 2020-06-29 2020-06-29 Bridge bottom crack detection device based on image splicing technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202021225786.4U CN213337389U (en) 2020-06-29 2020-06-29 Bridge bottom crack detection device based on image splicing technology

Publications (1)

Publication Number Publication Date
CN213337389U true CN213337389U (en) 2021-06-01

Family

ID=76081946

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202021225786.4U Active CN213337389U (en) 2020-06-29 2020-06-29 Bridge bottom crack detection device based on image splicing technology

Country Status (1)

Country Link
CN (1) CN213337389U (en)

Similar Documents

Publication Publication Date Title
CN102565625B (en) Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image
CN107187464B (en) Track slab detection vehicle, system and method
CN109142904B (en) Image recognition-based fault monitoring method and device for direct-current transmission converter valve
CN106405347A (en) High voltage equipment ultraviolet and infrared imaging online monitoring system and detection method thereof
CN202119539U (en) Thermal image temperature measuring and fault location inspecting system
CN102305664A (en) Thermal imaging temperature measurement and fault location inspection system
CN111161262A (en) Comprehensive train detection system
CN109781228B (en) Vehicle load determination system and method
CN213337389U (en) Bridge bottom crack detection device based on image splicing technology
CN211979511U (en) Unmanned aerial vehicle inspection system capable of automatically identifying defective insulator strings
CN201707032U (en) On-line detecting device for operating characteristic of circuit breaker based on photographic digitization
CN112229326A (en) Urban rail vehicle pantograph detection system and method
CN112241949A (en) Concrete placement mould intelligent monitoring device that fuses computer vision technique
CN111426428A (en) Transformer substation indoor water leakage detection system and method based on image acquisition
CN115201213A (en) Passenger ropeway steel wire rope detection device and method
CN115792896A (en) Track type airport runway FOD detection method and system
CN212133989U (en) Transformer substation indoor water leakage detection system based on image acquisition
CN206553927U (en) Bridge cable bar outward appearance automatic detection system
CN115078382A (en) Bridge crack monitoring system based on video image
CN105092090B (en) Subway axle temperature detecting system and method based on NFC, bluetooth and sensor
CN103601051A (en) Elevator wire rope real-time monitoring system
CN112556955A (en) Automatic correction method in bridge deflection measurement
CN212846830U (en) Bridge disease real-time detection and monitoring system
CN112225025A (en) Method and device for monitoring engagement condition of lock hook of elevator landing door lock
CN220678621U (en) Return detection device and system of cognitive training terminal

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant