CN214882942U - Bridge modeling and video image acquisition device - Google Patents
Bridge modeling and video image acquisition device Download PDFInfo
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- CN214882942U CN214882942U CN202120294318.0U CN202120294318U CN214882942U CN 214882942 U CN214882942 U CN 214882942U CN 202120294318 U CN202120294318 U CN 202120294318U CN 214882942 U CN214882942 U CN 214882942U
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Abstract
The utility model discloses a bridge modeling and video image collection system, including cableway with slide set up in collector on the cableway, the front portion and the bottom of collector are provided with first camera and the second camera that is used for gathering video respectively, the side of collector is provided with third camera and laser radar, first camera the second camera the third camera with laser radar all is connected with communication module, communication module is connected with orientation module. The utility model discloses an acquisition device has that degree of automation is high, detection efficiency is good, detect with low costs, do not influence traffic and advantage such as the component that stands tall and erects detects conveniently for traditional detection technology, has liberated human labour by a wide margin.
Description
Technical Field
The utility model relates to a track traffic field particularly, relates to a bridge modeling and video image collection system.
Background
The track traffic road network scale is constantly enlarged and the interval of dispatching a car is shortened and the flow of people sharply increases, and track traffic bridge facility inspection maintenance work load constantly increases, and the work degree of difficulty constantly improves, to finding in time, inspection bridge disease, gets rid of the potential safety hazard and has proposed higher requirement, simultaneously to the monitoring of large-span, bridge on water, stride high-speed railway circuit bridge. The inspection of the defects of the beam body is difficult and high in cost. How to effectively master the bridge disease condition and reduce the inspection cost is a main problem faced by operation and maintenance management units.
Aiming at cracks and damages of a large-span and ultrahigh rail transit beam body and displacement of a support, the comprehensive self-service inspection and analysis are carried out through a machine vision technology and a laser radar technology, artificial intelligence analysis is carried out by combining related standards, and pre-maintenance information and maintenance and repair suggestions are given.
Human eye observation method: the human eye observation method is a method in which an inspector directly observes or performs bridge inspection using equipment such as a telescope. And for the bridge of the overhead line, carrying out conventional detection in an accessible area by adopting a mode of high-altitude operation vehicles and scaffold erection. The bridge on water adopts high definition camera, high power telescope to observe and detect, perhaps sets up the scaffold frame on the ship and detects. The method has the advantages of high cost, poor maneuverability, incomplete detection effect, incapability of guaranteeing the safety of detection personnel and great limitation.
Utilize bridge inspection vehicle to send measurement personnel to the inspection site, bridge inspection vehicle mainly divide into over-and-under type inspection vehicle, hanging basket formula inspection vehicle and truss-like inspection vehicle:
lifting type detection vehicles: the lifting type detection vehicle is used at the bottom of the bridge, is simple in structure and easy to control, and facilitates detection of the bottom of the bridge. The bridge has the disadvantages that the use is limited, firstly, the bridge height cannot be too high due to the limitation of the lifting height; secondly, the bridge bottom traffic is affected, and the space at the bridge bottom is enough for parking the detection vehicle.
Hanging basket type detection vehicle: the hanging basket type bridge detection vehicle is simple in structure, convenient and flexible to use, suitable for most bridge types, capable of detecting the upper portion and the lower portion of a bridge, capable of working under various working conditions (suitable for aerial work), and divided into two operation modes of wired operation and wireless operation. But the hanging basket type detection vehicle has a huge structure and can influence road traffic.
Truss-like inspection vehicle: the truss type bridge inspection vehicle is complex in structure, but provides a wide operation platform for inspection personnel, and is good in stability and large in bearing capacity. The product furthest ensures the safety of operators and has the outstanding advantages of convenient detection operation, no traffic interruption, flexible working, high safety and reliability and the like. But also has the disadvantages of inconvenient movement and poor maneuverability.
In conclusion, the manual detection method and the bridge inspection method both rely on manual detection of the surface of the bridge by naked eyes, and are slow in speed, low in efficiency, high in cost, high in omission factor, poor in real-time performance, influence on traffic, have potential safety hazards and difficult to apply to a large extent.
An effective solution to the problems in the related art has not been proposed yet.
SUMMERY OF THE UTILITY MODEL
To the above-mentioned technical problem among the correlation technique, the utility model provides a bridge modeling and video image collection system can solve above-mentioned problem.
In order to achieve the technical purpose, the technical scheme of the utility model is realized as follows:
the utility model provides a bridge modeling and video image collection system, include the cableway with slide set up in collector on the cableway, the front portion and the bottom of collector are provided with first camera and the second camera that is used for gathering video respectively, the side of collector is provided with third camera and laser radar, first camera the second camera the third camera with laser radar all is connected with communication module, communication module is connected with orientation module.
Furthermore, the side of collector is provided with laser range finder, laser range finder connects communication module.
Furthermore, a light supplement lamp is arranged beside the first camera and the second camera, and the light supplement lamp is connected with a light sensor.
Further, the communication module is a 5G module.
Further, the positioning module is a Beidou module.
Furthermore, a temperature and humidity sensor is arranged on the collector and connected with the communication module.
The utility model has the advantages that: the utility model discloses an acquisition device has degree of automation height, detection efficiency good, detect with low costs, do not influence traffic and the advantage such as the component that stands tall and erects detects conveniently for traditional detection technology. Due to the birth and application of the machine vision, the human labor force is greatly liberated, and meanwhile, the production automation level, the use efficiency, the reliability, the stability and the like of equipment are improved. With the application of new technology and new theory in a machine vision system, machine vision plays a greater role in various fields of national economy, has wide application prospect and brings a new technical revolution for the development of society.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a bridge modeling and video image acquisition device;
FIG. 2 is a schematic illustration of calculating the physical size of a lesion;
FIG. 3 is a schematic view of the adjustment of the camera lens;
FIG. 4 is a schematic of a first result of disease analysis;
FIG. 5 is a diagram showing a second result of disease analysis.
In the figure: 1. the system comprises a cableway, a collector 2, a first camera 3, a second camera 4, a third camera 5, a laser radar 6, a communication module 7, a positioning module 8, a laser range finder 9, a light supplement lamp 10, a light sensor 11 and a temperature and humidity sensor 12.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art all belong to the protection scope of the present invention.
As shown in fig. 1-5, according to the embodiment of the utility model provides a bridge modeling and video image collection system, including cableway 1 with slide set up in collector 2 on the cableway 1, the front portion and the bottom of collector 2 are provided with first camera 3 and the second camera 4 that are used for gathering video respectively, the side of collector 2 is provided with third camera 5 and laser radar 6, first camera 3 second camera 4 third camera 5 with laser radar 6 all is connected with communication module 7, communication module 7 is connected with orientation module 8.
In an embodiment of the present invention, the side of the collector 2 is provided with a laser range finder 9, the laser range finder 9 is connected to the communication module 7.
In a specific embodiment of the present invention, a light supplement lamp 10 is disposed beside the first camera 3 and the second camera 4, and the light supplement lamp 10 is connected to a light sensor 11.
In a specific embodiment of the present invention, the communication module 7 is a 5G module.
In a specific embodiment of the present invention, the positioning module 8 is a beidou module.
The utility model discloses a specific embodiment, be provided with temperature and humidity inductor 12 on collector 2, temperature and humidity inductor 12 connects communication module 7.
For the convenience of understanding the above technical solutions of the present invention, the above technical solutions of the present invention are explained in detail through specific use modes below.
When specifically using, according to the utility model discloses a bridge modeling and video image collection system, lidar 6 and the cooperation of third camera 5 realize the three-dimensional visual show of bridge to the holistic three-dimensional point cloud modeling of bridge and video image collection.
The first camera 3 carries out image acquisition to the environment of marcing in the equipment the place ahead, carries out real-time analysis to the environmental aspect of advancing direction, judges whether there is foreign matter to invade influence safe operation situation such as border and appears, carries out real-time advance warning.
The second camera 4 carries out real-time image acquisition to the condition of bridge road bank protection, carries out intelligent analysis to key position, discovers whether there is the incident that influences bridge safety such as putting aside, building violating, smog and carries out the analysis. The safety of the digital boundary of the bridge road is guaranteed.
The laser range finder 9 calibrates the shot distance and provides a means for later vector calculation of diseases;
the temperature and humidity sensor 12 senses the environment temperature and humidity and provides parameter support for later disease analysis and a dynamic threshold algorithm model;
the Beidou and the 5G are used for marking and positioning the acquisition position, and the 5G is used for transmitting the disease image analyzed by the edge side in real time and receiving control instructions of scheduling, configuration parameters and the like of the management platform;
the utility model discloses a 32 bit ARM chips constitutes the edge calculation unit, constitutes drive division by four direct current motor, and motor automatic control can realize the control that the motor is just reversing to the realization is advanced and is retreated.
The device can automatically identify the cracks and the damages of the beam body and automatically calculate the sizes of the cracks and the damages (mainly width); illegal deposits such as scattered objects, garbage and the like in the protection area can be automatically identified; automatically detecting the displacement and the shearing angle of the plate type support and the basin type support; and recognizing illegal parking, illegal construction, illegal placement and invasion in the protected area.
The original physical size calculation methods of the diseases comprise the following two methods:
firstly, a target is pasted on the surface of a measured object or an infrared target is adopted, then the measured object is scanned and identified by using a machine vision technology, and the size of the disease is calculated by comparing the size relation between the disease and the target.
Secondly, the movement of a target point on the measured object is tracked by using the digital image at the same position, and two images before and after the deformation of the measured object are measured, namely a reference field before the deformation and a deformation field after the deformation, so as to determine the displacement of the target point.
The utility model discloses a calculation method utilizes infrared range finding, camera pixel, the CCD size of camera formation of image, realizes the calculation to disease physical dimension automatically.
The specific implementation mode is as follows:
the angle of the measured object is calculated by utilizing two groups of infrared ranging devices as shown in fig. 2, H is a known distance, and the included angle theta can be calculated by utilizing the distance measured by the infrared ranging devices and L2-L1= L.
As shown in fig. 3, in order to ensure the detection accuracy, the lens of the camera needs to be adjusted to be perpendicular to the detected target, so that the dc motor is driven to adjust the lens of the camera to ensure that the detection angle is the front view angle. Knowing the physical size of the CCD, the pixel and resolution of the camera and the distance between the camera and a detection target, calculating the physical size of the disease through identifying the disease, marking the number of the pixels occupied by the disease and the size of the pixels.
The disease identification is the basis of calculation of the system, the accurate identification of surface diseases and the accurate positioning of the edge positions of the diseases are the basis of calculation, the system obtains a correctable Bessel edge model after convolving the correctable Bessel point diffusion function with an ideal edge model through an edge detection algorithm with sub-pixel accuracy, the sub-pixel edge positioning is obtained by applying least square estimation fitting, the obtained edge positions have high accuracy, and the average error can be only about 3% of one pixel.
By setting the polling time of the collector 2, the collector 2 automatically starts polling according to the set time, video scanning is carried out on the surface of the bridge through the cableway 1, meanwhile, the types of diseases are analyzed and judged on the video images of the scanned images, and different types of diseases are marked.
Meanwhile, the size of the disease is calculated, the equipment analyzes and calculates the three-dimensional point cloud data of the radar, analyzes and judges the displacement and the shearing angle of the support, compares the displacement and the shearing angle with the disease evaluation standard, and then carries out early warning and alarming.
The collector 2 can also automatically detect the objects left in the area under the bridge, stacked objects and invaded the boundary in the inspection process. The background can compare the video images of the previous day to give out safety early warning analysis.
The background can perform three-dimensional modeling on the facilities according to the three-dimensional point cloud data.
The above description is only a preferred embodiment of the present invention, and should not be taken as limiting the invention, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The utility model provides a bridge modeling and video image collection system, its characterized in that, including cableway (1) with slide set up in collector (2) on cableway (1), the front portion and the bottom of collector (2) are provided with respectively and are used for gathering video first camera (3) and second camera (4), the side of collector (2) is provided with third camera (5) and laser radar (6), first camera (3) second camera (4) third camera (5) with laser radar (6) all are connected with communication module (7), communication module (7) are connected with orientation module (8).
2. The bridge modeling and video image acquisition device according to claim 1, wherein a laser range finder (9) is arranged on the side of the collector (2), and the laser range finder (9) is connected with the communication module (7).
3. The bridge modeling and video image acquisition device according to claim 1, wherein a light supplement lamp (10) is arranged beside the first camera (3) and the second camera (4), and the light supplement lamp (10) is connected with a light sensor (11).
4. Bridge modelling and video image acquisition apparatus according to claim 1, wherein said communication module (7) is a 5G module.
5. Bridge modeling and video image acquisition device according to claim 1, characterized in that the positioning module (8) is a beidou module.
6. The bridge modeling and video image acquisition device according to claim 1, wherein a temperature and humidity sensor (12) is arranged on the collector (2), and the temperature and humidity sensor (12) is connected with the communication module (7).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120294318.0U CN214882942U (en) | 2021-02-02 | 2021-02-02 | Bridge modeling and video image acquisition device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120294318.0U CN214882942U (en) | 2021-02-02 | 2021-02-02 | Bridge modeling and video image acquisition device |
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| Publication Number | Publication Date |
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| CN214882942U true CN214882942U (en) | 2021-11-26 |
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| CN202120294318.0U Active CN214882942U (en) | 2021-02-02 | 2021-02-02 | Bridge modeling and video image acquisition device |
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2021
- 2021-02-02 CN CN202120294318.0U patent/CN214882942U/en active Active
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