CN216160306U - Steel member non-contact dynamic strain digital measurement system - Google Patents
Steel member non-contact dynamic strain digital measurement system Download PDFInfo
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- CN216160306U CN216160306U CN202122141253.9U CN202122141253U CN216160306U CN 216160306 U CN216160306 U CN 216160306U CN 202122141253 U CN202122141253 U CN 202122141253U CN 216160306 U CN216160306 U CN 216160306U
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Abstract
The utility model relates to a steel member strain measuring technology and aims to provide a steel member non-contact dynamic strain digital measuring system. The measurement system includes: black and white speckles sprayed on the surface of the measured component by a cyclic loading device; the device comprises a camera, an optical lens provided with a polarization filter lens, an illumination light source, a speckle identification calibration plate, an image acquisition trigger, a controller and a data memory; a computer; the camera, the optical lens and the detected black and white speckles are not in contact; the camera and the computer are respectively connected with the image acquisition trigger and the controller through data lines, and the controller is electrically connected with the image acquisition trigger and the data memory. The measuring system can acquire dynamic strain data of the surface of the steel member in the fatigue process in real time without contact under the conditions that the steel member is not pasted with a strain gauge on site and the wire drawing is not needed; invalid measuring points caused by manual patch errors are avoided, and accurate measurement of the special-shaped component is realized; the digital management of dynamic strain is convenient, and the measurement cost is low.
Description
Technical Field
The utility model relates to a steel member strain measurement technology, in particular to a non-contact dynamic strain digital measurement system for a steel member, which is directly applied to digital measurement of dynamic strain of a steel member bearing repeated load.
Background
After a steel member subjected to reciprocating cyclic load is used for a certain period of time, fatigue performance evaluation is required. The method of dynamic strain gauge electrical measurement is generally adopted. And adhering a strain gauge on the component, and carrying out fatigue performance evaluation after converting the actually measured electric quantity into a strain history by a dynamic strain gauge through calibration. Because the pasting position of the strain gauge is required to be flat, the strain gauge cannot be pasted to the crack cracking position exactly, the strain gauge cannot be densely, densely and numb and fully pasted in the concerned area, and the obtained measurement data is naturally limited by the pasting position and the quantity of the strain gauge, so that the fatigue evaluation error is large. The steel member is an entity with complex appearance such as cross welding seam in many cases, and the strain gauge can not realize strain measurement of the angular point and only can calculate; in the era that steel structure maintenance is about to enter digital management, the manual patch measurement data is lack of automatic elements, and the actual operability is not strong. There is therefore a need to develop a more accurate dynamic strain measurement system for steel components that embodies digitised characterisation.
Although there is a literature that carries out fatigue detection and monitoring technology research based on computer image vision, the technology cannot introduce measurement of strain field, and thus cannot meet the requirement for dynamic strain digitization. Hitherto, no report exists on a non-contact dynamic strain digital measurement system for a steel member, which is used for arranging speckles on the surface of the steel member, shooting through a camera in the whole process when the speckle member bears repeated load, intelligently identifying and acquiring critical parameters of fatigue damage, and wirelessly transmitting data into a computer.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem of overcoming the defects in the prior art and provides a non-contact dynamic strain digital measurement system for a steel member.
In order to solve the technical problem, the solution of the utility model is as follows:
providing a steel member non-contact dynamic strain digital measurement system, which consists of three subsystems, namely a steel member dynamic strain data subsystem, a data acquisition and transmission subsystem and a data management and analysis subsystem; wherein the steel member dynamic strain data subsystem comprises: black and white speckles sprayed on the surface of the measured component by a cyclic loading device; the data acquisition and transmission subsystem comprises: the device comprises a camera, an optical lens provided with a polarization filter lens, an illumination light source, a speckle identification calibration plate, an image acquisition trigger, a controller and a data memory; the data management and analysis subsystem comprises: a computer; the black-white speckle to be detected and the data acquisition and transmission subsystem are in no contact with each other; in the data acquisition and transmission subsystem and the data management and analysis subsystem, the camera and the computer are respectively connected with the image acquisition trigger and the controller through data lines, and the controller is electrically connected with the image acquisition trigger and the data memory.
As an improvement, the dynamic strain data subsystem of the steel member also comprises a black paint spraying tank and a white paint spraying tank for spraying black and white speckles.
As an improvement, in the data acquisition and transmission subsystem, two groups of cameras, two groups of optical lenses and two groups of illumination light sources are arranged, wherein the optical lenses are arranged on the front side of the lenses of the cameras, and the illumination light sources are arranged on the lateral rear direction of the cameras.
As an improvement, the camera is adjustably mounted on a stand and tripod.
As an improvement, the illumination source is an integrated LED illumination source.
As an improvement, the data acquisition and transmission subsystem further comprises a laser navigator used for positioning and assisting in installing the camera, and the laser navigator is connected with the camera through a data line.
As an improvement, the speckle identification calibration board is used for calibrating the camera in advance, and the distance between the speckle identification calibration board and the camera is kept equal to the distance between the measured component and the camera during calibration.
As an improvement, the data acquisition and transmission subsystem comprises an 8-channel analog interface; the camera is connected with the image acquisition trigger through a data line and an 8-channel analog interface, and the computer is connected with the controller through the data line and the 8-channel analog interface.
As an improvement, the data acquisition and transmission subsystem and the data management and analysis subsystem respectively comprise a 220V power supply.
Compared with the prior art, the utility model has the beneficial effects that:
1. the system has the greatest characteristic that the operation of adhering the strain gauge to the surface of the steel member is not needed, and the non-contact dynamic strain measurement can be carried out on a specified area which is not limited to a certain point under the action of cyclic load. The continuous images of black and white speckles on the sample are shot by the camera and transmitted to the computer through the data acquisition and transmission subsystem. The computer can analyze data based on the obtained image data by utilizing the prior software technology to obtain the strain real-time data of the fatigue crack part and the periphery thereof in the whole process of crack initiation moment and expansion period to damage, thereby realizing the digital measurement of the dynamic strain process of the construction details of any shape.
2. The method can be used for collecting dynamic strain data of the surface of the steel member in the fatigue process in real time without contact under the conditions that the operation of pasting a strain gauge on the site of the steel member is not carried out and the wire pulling is not needed; invalid measuring points caused by manual patch errors are avoided, and accurate measurement of the special-shaped component is realized; the digital management of dynamic strain is convenient, and the data acquisition is not limited by the storage capacity.
3. The consumption materials of the measuring points distributed during the test are speckle paint made of common black and white paint, so that the use of test consumption materials such as strain gauges, wires, adhesives, sand paper, insulating glue and the like is omitted, and the measurement cost is low.
4. The utility model can overcome the defects of large evaluation error, poor actual operability, difficulty in forming complete measurement data, difficulty in forming a systematic data analysis chain and incapability of directly measuring a complex structure in the traditional method of adopting strain gauge electrical measurement and manually laying measurement points.
Drawings
FIG. 1 is a composition diagram of a steel member non-contact dynamic strain digital measurement system.
The reference numbers in the figures illustrate:
i is a steel component dynamic strain data subsystem, II is a data acquisition and transmission subsystem, and III is a data management and analysis subsystem.
1. The device comprises a cyclic loading device, 2 black and white speckles, 3 a camera, 4 an optical lens, 5 an illumination light source, 6 a speckle identification calibration board, 7 an image acquisition trigger, 8 a controller, 9 a data memory, 10 a computer, 11 a data line and 12.220V power supply.
Wherein 1 and 2 form I; 3. 4, 5 are integrated together for data acquisition, 7, 8, 9 are integrated together for data transmission, and together form II; and 10 is III.
Detailed Description
The utility model is further described with reference to the following figures and embodiments.
It should be noted that the present invention relates to hardware devices involved in implementing image acquisition and data transmission during the non-contact digital measurement of dynamic strain of a steel member, and the description of the position relationship or connection relationship thereof. The present invention is not concerned with the specific data management and data analysis processes. After the data collection is completed, how to process and analyze the data specifically can be implemented by a person skilled in the art by selecting existing data management and analysis software (such as ARAMIS 3D software of GOM company) according to actual situations, or by self-programming according to a final analysis target. However, this part is not included in the technical solution of the present invention, and the present invention should not be evaluated based on this, and thus, the description is made.
The steel member non-contact dynamic strain digital measurement system consists of a steel member dynamic strain data subsystem I, a data acquisition and transmission subsystem II and a data management and analysis subsystem III;
the steel member dynamic strain data subsystem I is used for providing three-dimensional strain measurement raw data from a real object to an image, and specifically comprises the following steps: the device comprises a cyclic loading device 1 and black and white speckles 2 sprayed on the surface of a measured component. During spraying, the white background color is directly sprayed, and then black spots are sprayed in a mist manner without using other tools.
And the data acquisition and transmission subsystem II is used for controlling the camera to automatically shoot and finish data acquisition. The method specifically comprises the following steps: the system comprises two cameras 3 with the resolution ratio exceeding 5 million pixels, two optical lenses 4 with polarization filter lenses, two groups of integrated LED illuminating light sources 5, a laser navigator, a speckle identification calibration board 6, an image acquisition trigger 7, a controller 8 and a data memory 9; the camera 3 is adjustably mounted on the stand and the tripod, the optical lens 4 is placed on the front side of the lens of the camera 3, the illumination light source 5 is placed on the rear side of the camera 3, and the laser navigator is connected with the camera 3 through a data line for positioning and auxiliary mounting. The speckle identification calibration plate 6 is used for calibrating the camera 3 in advance, and the distance between the speckle identification plate 6 and the camera 3 during calibration is equal to the distance between the black-and-white speckle 2 and the camera 3 on the measured component. The controller 8 is electrically connected to the image acquisition trigger 7 and the data memory 9, respectively, for loading data acquisition control software and generating signals for controlling photographing and executing storage actions. The image acquisition trigger 7 is used for sending a control signal to the camera 3 according to the setting of the controller 8 and automatically triggering the camera to shoot so as to acquire an image; the data memory stores image data from the camera according to the instructions.
The data management and analysis subsystem III includes a computer for data acquisition and data analysis.
The measurement distance (without contact) is kept between the black and white speckle 2 and the data acquisition and transmission subsystem II; in the data acquisition and transmission subsystem II and the data management and analysis subsystem III, the camera 3 is connected with the image acquisition trigger 7 through a data line 11 and an 8-channel analog interface, and the computer 10 is connected with the controller 8 through a data line 11 and an 8-channel analog interface. The two systems also respectively comprise a 220V power supply for realizing power supply.
The following describes the method of use of the measurement system of the present invention:
firstly, calibrating a camera 3 by using a speckle identification calibration plate 6 which is arranged at a position close to the measurement distance, and then shooting and sampling a steel member sample which is circularly loaded and operated on the circular loading device 1 in real time by using the camera 3 to obtain an image of black and white speckles 2 on the surface of the sample. The image data is transmitted to the data acquisition and transmission subsystem II in real time and stored by the data storage 9. The computer 10 retrieves the collected data at any time and uses the loaded analysis software to calculate and process.
The specific calculation and processing procedures performed by the analysis software do not belong to the technical solution of the present invention, but the exemplary methods are provided as follows:
and calculating the calibrated measurement image by using speckle identification data analysis software and combining camera calibration data completed by using the speckle identification calibration plate according to the same measurement distance to obtain a strain value which changes relative to the first image. Then, the analysis software automatically regresses the required measurement content by using the image data obtained in the subsequent sample measurement process to form measurement data such as a strain value of a specified point at any measured time period, a strain line of a specified section, a strain contour line cloud chart of a specified area and the like. And determining measurement key parameters according to fatigue analysis requirements, and intelligently identifying and extracting in massive strain data to obtain various measurement indexes of dynamic strain. Meanwhile, if the data are found not to meet the requirements, the original image can be called out from the data storage through the computer, and recalculation is carried out after a new data extraction scheme is planned. Therefore, the replanning and the calculation can be carried out for multiple times, and finally an accurate measurement result is obtained.
Claims (9)
1. A steel member non-contact dynamic strain digital measurement system is characterized in that the measurement system consists of three subsystems, namely a steel member dynamic strain data subsystem, a data acquisition and transmission subsystem and a data management and analysis subsystem; wherein,
the steel member dynamic strain data subsystem comprises: black and white speckles sprayed on the surface of the measured component by a cyclic loading device;
the data acquisition and transmission subsystem comprises: the device comprises a camera, an optical lens provided with a polarization filter lens, an illumination light source, a speckle identification calibration plate, an image acquisition trigger, a controller and a data memory;
the data management and analysis subsystem comprises: a computer;
the black-white speckle to be detected and the data acquisition and transmission subsystem are in no contact with each other; in the data acquisition and transmission subsystem and the data management and analysis subsystem, the camera and the computer are respectively connected with the image acquisition trigger and the controller through data lines, and the controller is electrically connected with the image acquisition trigger and the data memory.
2. The measurement system of claim 1, wherein the steel member dynamic strain data subsystem further comprises black and white paint spray cans for spraying black and white speckles.
3. The measurement system of claim 1, wherein the data collection and transmission subsystem comprises two sets of cameras, two sets of optical lenses and two sets of illumination sources, the optical lenses being disposed in front of the lenses of the cameras, and the illumination sources being disposed in the rear-lateral direction of the cameras.
4. The measurement system of claim 1, wherein the camera is adjustably mounted on a stand and tripod.
5. The measurement system of claim 1, wherein the illumination source is an integrated LED illumination source.
6. The measurement system of claim 1, wherein the data acquisition and transmission subsystem further comprises a laser navigator for positioning and assisting installation of the camera, and the laser navigator is connected with the camera through a data line.
7. The measurement system of claim 1, wherein the speckle recognition calibration plate is used to pre-calibrate the camera, and the distance between the calibration speckle recognition calibration plate and the camera is maintained equal to the distance between the measured member and the camera.
8. The measurement system of claim 1, wherein the data acquisition and transmission subsystem comprises an 8-channel analog interface; the camera is connected with the image acquisition trigger through a data line and an 8-channel analog interface, and the computer is connected with the controller through the data line and the 8-channel analog interface.
9. The measurement system of claim 1, wherein the data acquisition and transmission subsystem and the data management and analysis subsystem further comprise a 220V power supply, respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202122141253.9U CN216160306U (en) | 2021-09-06 | 2021-09-06 | Steel member non-contact dynamic strain digital measurement system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202122141253.9U CN216160306U (en) | 2021-09-06 | 2021-09-06 | Steel member non-contact dynamic strain digital measurement system |
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| CN216160306U true CN216160306U (en) | 2022-04-01 |
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| CN202122141253.9U Active CN216160306U (en) | 2021-09-06 | 2021-09-06 | Steel member non-contact dynamic strain digital measurement system |
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2021
- 2021-09-06 CN CN202122141253.9U patent/CN216160306U/en active Active
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