CN213091521U - Existing building glass curtain wall detecting system - Google Patents
Existing building glass curtain wall detecting system Download PDFInfo
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- CN213091521U CN213091521U CN202021364861.5U CN202021364861U CN213091521U CN 213091521 U CN213091521 U CN 213091521U CN 202021364861 U CN202021364861 U CN 202021364861U CN 213091521 U CN213091521 U CN 213091521U
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- curtain wall
- light source
- glass curtain
- aerial vehicle
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Abstract
The utility model relates to an existing building glass curtain wall detection system, which comprises a light source component, an unmanned aerial vehicle signal collection component, a memory and a microprocessor, wherein the light source component is arranged at one side of the building interior of the glass curtain wall and comprises a grating light source group and an LED light source group; unmanned aerial vehicle signal collection subassembly suspends in glass curtain wall's building outside one side, including the unmanned aerial vehicle main part and locate the CCD camera in the unmanned aerial vehicle main part, the CCD camera collects respectively that grating light source group and LED light source group send pass glass curtain wall grating stripe light and LED light. Compared with the prior art, the utility model adopts the unmanned aerial vehicle mechanism to cooperate with the light source component arranged at one side of the interior of the building of the glass curtain wall, thereby realizing the image acquisition of the projection grating light and the LED light; the light source assembly is simple in arrangement method, can be installed through auxiliary pieces such as lifting ropes, frame bodies and supporting rods, which are easy to erect, is simple and convenient to disassemble after testing is finished, and can be used repeatedly.
Description
Technical Field
The utility model belongs to the technical field of existing building material detects and specifically relates to an existing building glass curtain wall detecting system is related to.
Background
The glass curtain wall is a modern new wall body, and the greatest characteristic of the glass curtain wall endows the building with the characteristics of organically unifying factors such as building aesthetics, building functions, building energy conservation, building structures and the like, so that the building presents different tones from different angles, and gives dynamic beauty to people along with the change of sunlight, moonlight and lamplight.
The self-explosion of the tempered glass of the curtain wall is a great threat to the safety of the glass curtain wall and is also a very important link in the detection of the existing glass curtain wall. For the self-explosion reason of the toughened glass, the local stress concentration is generally considered to be generated in the glass, the crack is generated when the stress level exceeds the bearing capacity of the toughened glass, and the crack is rapidly developed due to the residual stress of the toughened glass, so that the whole glass is broken.
Because the detection of manpower is difficult to realize on most high-rise buildings of building glass curtain wall, how to realize existing building glass curtain wall detection comparatively high-efficiently, accurately, safely is the technical problem that needs to solve at present urgently.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing an existing building glass curtain wall detecting system in order to overcome the defect that above-mentioned prior art exists, adopt the cooperation of unmanned aerial vehicle mechanism to locate glass curtain wall's the light source subassembly of the inside one side of building, realize the image acquisition who throws grating light and LED light, after only needing to arrange light source subassembly, can realize quick full automatization's existing building glass curtain wall and detect.
In the conceptual origin of the present invention, it was found that local stress concentrations are primarily caused by impurities and defects in the glass. The impurities mainly comprise nickel sulfide, simple substance silicon or other heterogeneous phase particles, and the defects mainly comprise bubbles, holes, surface damage caused by impact or corrosion of external particles and the like. The germination and the propagation of cracks in the toughened glass are mainly caused by the comprehensive action of residual tensile stress caused by heterogeneous phase particles and the residual stress of the glass in a service state, namely, the utility model detects the cracks as the detection target of the existing building glass curtain wall through the detection in the aspect.
Based on the above original utility model concept, the purpose of the utility model can be realized through the following technical scheme:
the utility model discloses in existing building glass curtain wall detecting system, including light source subassembly, unmanned aerial vehicle signal collection subassembly, memory and microprocessor, wherein specifically:
the light source assembly is arranged on one side of the interior of the glass curtain wall and comprises a grating light source group and an LED light source group;
the unmanned aerial vehicle signal collection assembly is suspended on one side of the building outer portion of the glass curtain wall and comprises an unmanned aerial vehicle main body and a CCD camera arranged on the unmanned aerial vehicle main body, and the CCD camera collects light rays and LED light rays which penetrate through grating stripes of the glass curtain wall and are emitted by the grating light source group and the LED light source group respectively;
the storage is arranged on the unmanned aerial vehicle main body, is electrically connected with the CCD camera and stores the acquired grating stripe light and the LED light;
microprocessor locates in the unmanned aerial vehicle main part, with the memory electricity is connected, obtains the isocline moire fringe pattern by the grating fringe light that acquires, judges the degree that glass curtain wall local stress concentrates according to the scope size of isocline moire fringe pattern, judges the degree that glass curtain wall is miscellaneous according to the LED light intensity who acquires.
Further, the grating light source group and the LED light source group emit light alternately.
Furthermore, the grating light source group is a sampling fiber grating.
Furthermore, the LED light source group is formed by arranging a plurality of light emitting diodes.
Further, CCD camera set up in the unmanned aerial vehicle main part along vertical.
Further, the top and the side of unmanned aerial vehicle main part be equipped with a plurality of screws.
Furthermore, the propellers are controlled by independent servo motors.
Furthermore, the servo motors are respectively electrically connected with the microprocessor.
Further, the microprocessor is an ARM processor.
Further, the light source assembly is arranged on the inner side of the glass curtain wall of each floor on the building.
Compared with the prior art, the utility model has the advantages of it is following:
1) the utility model discloses a light source subassembly of glass curtain wall's inside one side of building is located in the cooperation of unmanned aerial vehicle mechanism, realizes the image acquisition who throws grating light and LED light, only needs to arrange light source subassembly after, can realize quick full automatization's existing building glass curtain wall and detect, and whole detection efficiency is high, has avoided sucking disc type robot to glass curtain wall mechanical properties testing process simultaneously, and its direct physical contact process is to the secondary damage that glass curtain wall produced.
2) The light source assembly in the technical scheme is simple in arrangement method, can be installed through auxiliary pieces such as lifting ropes, frame bodies and supporting rods, which are easy to erect, is simple and convenient to disassemble after testing is finished, and can be used repeatedly.
Drawings
FIG. 1 is a schematic structural view of a system for detecting an existing architectural glass curtain wall according to the present invention;
fig. 2 is a schematic structural view of the signal collecting assembly of the unmanned aerial vehicle according to the present invention;
FIG. 3 is an image of a reference grid;
FIG. 4 is an image of a specimen grid;
fig. 5 is an isocline moire pattern.
In the figure: 1. unmanned aerial vehicle signal collection subassembly, 2, light source subassembly, 3, building, 11, unmanned aerial vehicle main part, 12, top screw, 13, lateral part screw, 14, side direction servo motor, 15, top servo motor, 16, CCD camera.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
Examples
The existing building glass curtain wall detection system in this embodiment includes light source subassembly 2, unmanned aerial vehicle signal collection subassembly 1, memory and microprocessor, refers to fig. 1 and fig. 2.
Unmanned aerial vehicle signal collection subassembly 1 suspends in 3 outside one sides of glass curtain wall's building, including unmanned aerial vehicle main part 11 and locate CCD camera 16 in unmanned aerial vehicle main part 11, CCD camera 16 collects respectively that grating light source group and LED light source group send and passes glass curtain wall grating stripe light and LED light, and CCD camera 16 sets up on unmanned aerial vehicle main part 11 along the vertical, and many pictures can be acquireed simultaneously in setting up of a plurality of CCD camera 16 to this contrasts the testing result, reduces system error. The top and the side of unmanned aerial vehicle main part 11 are equipped with a plurality of screws. The screw all is through independent servo motor control, and microprocessor is to sending out the instruction according to servo motor, the propulsive force of the screw output in each position of control for unmanned aerial vehicle main part 11 can carry out steady and at the uniform velocity vertical lift, obtains comparatively stable picture information with this collection. In addition, can integrate GPS module, gyroscope etc. on the unmanned aerial vehicle main part 11 to this demand that satisfies its orbit control.
The memory is located in the unmanned aerial vehicle main part 11, with the CCD camera 16 electricity is connected, and grating stripe light and the LED light that will acquire are stored, and during the specific implementation, the accumulator is magnetic disc or flash memory card.
Microprocessor locates on unmanned aerial vehicle main part 11, is connected with the memory electricity, obtains isocline moire fringe pattern by the grating fringe light of acquireing. The servo motors are respectively and electrically connected with the microprocessor. In particular, the microprocessor is an ARM processor.
In this embodiment, a grating fringe pattern without glass defects (i.e., before deformation) is obtained by the CCD camera 16 and stored in a memory, which is called a reference grating, see fig. 3, and a deformed grating fringe pattern with defects, which is called a test piece grating, is obtained by the CCD camera 16, see fig. 4. At this time, four arithmetic operations are carried out in the microprocessor according to the obtained images of the reference grid and the test piece grid, so that an isocline moire fringe pattern can be obtained, and the process is completed through a mature algorithm, which is shown in fig. 5. The degree of local stress concentration of the glass curtain wall can be directly measured/judged according to the range of the isocline moire fringe pattern.
The defects detectable by the LED projection light obtained by the CCD camera 16 in this embodiment are: bubbles, stones, pits, waves, ribs, tin points and nodules, and the diode array is divided into two phases in the X direction and alternately flashes, and only one phase plays a role at the same time. The intensity of each phase was 50% of the total intensity. The defects can absorb part of incident light, the microprocessor analyzes the strength change of image signals acquired by the camera, and then defect position information and defect degree information of corresponding positions can be quickly acquired, mature algorithms are numerous, and if the coordinate information of pixel blocks of abnormal brightness positions is marked through the brightness of each pixel block in a picture, the defect position information and the defect degree information can be analyzed.
The embodiments described above are intended to facilitate the understanding and use of the invention by those skilled in the art. It will be readily apparent to those skilled in the art that various modifications to these embodiments may be made, and the generic principles described herein may be applied to other embodiments without the use of the inventive faculty. Therefore, the present invention is not limited to the above embodiments, and those skilled in the art should make improvements and modifications within the scope of the present invention according to the disclosure of the present invention.
Claims (10)
1. The utility model provides an existing building glass curtain wall detecting system which characterized in that includes:
the light source component (2) is arranged on one side inside the building (3) of the glass curtain wall and comprises a grating light source group and an LED light source group;
the unmanned aerial vehicle signal collection assembly (1) is suspended on one side of the outer portion of the building (3) of the glass curtain wall and comprises an unmanned aerial vehicle main body (11) and a CCD camera (16) arranged on the unmanned aerial vehicle main body (11), wherein the CCD camera (16) is used for respectively collecting light rays which penetrate through grating stripes of the glass curtain wall and light rays which are emitted by the grating light source group and the LED light source group;
the storage is arranged on the unmanned aerial vehicle main body (11), is electrically connected with the CCD camera (16), and stores the acquired grating stripe light and the acquired LED light;
and the microprocessor is arranged on the unmanned aerial vehicle main body (11) and is electrically connected with the memory.
2. The existing architectural glass curtain wall detection system of claim 1, wherein the grating light source groups and the LED light source groups emit light alternately.
3. The existing architectural glass curtain wall inspection system of claim 1, wherein the grating light source group is a sampled fiber grating.
4. The existing building glass curtain wall detection system as claimed in claim 1, wherein the LED light source group is formed by arranging a plurality of light emitting diodes.
5. The existing building glass curtain wall detection system as claimed in claim 1, wherein the CCD camera (16) is vertically arranged on the unmanned aerial vehicle main body (11).
6. The existing building glass curtain wall detection system as claimed in claim 1, wherein a plurality of propellers are arranged on the top and the side of the unmanned aerial vehicle main body (11).
7. The existing building glass curtain wall detection system of claim 6, wherein the propellers are all controlled by independent servo motors.
8. The system for detecting the existing architectural glass curtain wall as claimed in claim 7, wherein the servo motors are respectively electrically connected with the microprocessor.
9. The system as claimed in claim 1, wherein the microprocessor is an ARM processor.
10. The system for detecting the glass curtain wall of the existing building as claimed in claim 1, wherein the light source assembly (2) is arranged inside the glass curtain wall of each floor on the building (3).
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CN202021364861.5U CN213091521U (en) | 2020-07-13 | 2020-07-13 | Existing building glass curtain wall detecting system |
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CN202021364861.5U CN213091521U (en) | 2020-07-13 | 2020-07-13 | Existing building glass curtain wall detecting system |
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