CN112666545A - Concrete reinforcement protective layer thickness detection system and detection method thereof - Google Patents
Concrete reinforcement protective layer thickness detection system and detection method thereof Download PDFInfo
- Publication number
- CN112666545A CN112666545A CN202011460090.4A CN202011460090A CN112666545A CN 112666545 A CN112666545 A CN 112666545A CN 202011460090 A CN202011460090 A CN 202011460090A CN 112666545 A CN112666545 A CN 112666545A
- Authority
- CN
- China
- Prior art keywords
- testing
- test
- central control
- thickness
- control device
- 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.)
- Pending
Links
Images
Landscapes
- Length Measuring Devices By Optical Means (AREA)
Abstract
The utility model relates to a concrete reinforcement protective layer thickness detecting system and detection method thereof relates to concrete test technical field, aims at solving simple detection method and needs operating personnel to test one by one and need other operating personnel to take notes to occupy the technical problem of more manpower resources, it includes the frame, be provided with the testing arrangement who is used for testing thickness in the frame, testing arrangement is connected with the central control device who receives and handle data, be provided with the displacement device of drive testing arrangement two-dimensional movement in vertical plane in the frame, the frame bottom is provided with the running gear of drive frame walking, displacement device and running gear all connect in central control device in order to carry out the control command who comes from central control device. This application has and can test automatically, is showing improvement efficiency of software testing, reduces the effect of human input.
Description
Technical Field
The application relates to the field of concrete testing, in particular to a system and a method for detecting the thickness of a concrete reinforcement protective layer.
Background
The reinforced concrete structure is widely used in China, whether the reinforced concrete is qualified or not directly affects the building quality, and the personal and property safety of people is concerned. The detection of reinforced concrete is an important part for grasping the quality of buildings. In actual buildings, the steel bars are positioned in the concrete and cannot be directly observed, and the thickness of the protective layer is unknown. The steel bar protective layer thickness nondestructive detection technology can effectively detect the thickness of the protective layer and provide the basis for building quality identification for supervision departments.
In the related art, chinese patent with application number CN201510052091.8 discloses a method for detecting the thickness of a concrete reinforcement protective layer, 1) preparing a molded concrete sample; 2) curing the concrete sample and the structure to be tested in the step 1) under the same condition; 3) detecting the thickness of the protective layer of the concrete sample by adopting a radar instrument, and calculating to obtain a corresponding dielectric constant; 4) testing the dielectric constants of the concrete test piece in different ages by adopting the method 3); 5) determining the dielectric constant of the structure to be tested by combining the age of the structure to be tested and the dielectric constant of the concrete test piece; 6) and setting radar instrument parameters according to the dielectric constant of the structure to be detected, and detecting the thickness of the protective layer of the structure to be detected. The method has the advantages that corresponding dielectric constant values are obtained through testing of the protective layers of concrete in different ages, radar instruments are set in a related mode, accurate protective layer thickness values are obtained, deviation between the tested values and the actual values is not more than 2.0% when the thickness of the protective layers is 20-60 mm, deviation between the tested values and the actual values is not more than 3.5% when the thickness of the protective layers is 61-200 mm, and detection accuracy is greatly improved.
In view of the above-mentioned related technologies, the inventor believes that there is a defect that the above-mentioned detection method requires an operator to perform a test one by one and another operator to perform a recording, thereby occupying more human resources.
Disclosure of Invention
In order to solve the problem that a testing method occupies more human resources, the application provides a concrete reinforcement protective layer thickness detection system and a detection method thereof.
In a first aspect, the application provides a concrete reinforcement protective layer thickness detection system, which adopts the following technical scheme:
the utility model provides a concrete reinforcement protective layer thickness detecting system, includes the frame, states and is provided with the testing arrangement who is used for testing thickness in the frame, testing arrangement is connected with the central control device who receives and handle data, be provided with the displacement device of drive testing arrangement two-dimensional movement in vertical plane in the frame, the frame bottom is provided with the running gear of drive frame walking, displacement device and running gear all connect in central control device in order to carry out the control command who comes from central control device.
By adopting the technical scheme, the walking device drives the rack to walk in the plane, the displacement device drives the testing device to move in the vertical plane in two dimensions, so that the testing device can be moved to any position in the two-dimensional plane, the central control device controls the displacement device and the walking device and receives test data from the testing device, the central control device controls the positions to which the walking device and the displacement device automatically move, and the automatic test is carried out through the testing device, so that the testing efficiency is greatly improved, and the occupation of human resources is reduced.
Preferably, the displacement device comprises linear motors positioned on two sides of the width direction of the rack and a horizontal motor fixed on a sliding block of the linear motor, and the testing device is fixed on the sliding block of the horizontal motor.
By adopting the technical scheme, the linear motor can drive the horizontal motor to move in the vertical direction, the horizontal motor drives the testing device to move in the horizontal direction, and the linear motor is matched with the horizontal motor to realize the two-dimensional movement of the testing device in the vertical plane, so that the testing device can be driven to move to any point in a certain testing area.
Preferably, the testing device comprises a radar ranging device and an electromagnetic ranging device, and the radar ranging device and the electromagnetic ranging device are respectively used for testing the positions of the steel bars at the same testing point; testing arrangement one side is provided with laser rangefinder, laser rangefinder is used for measuring the distance of testing arrangement distance wall that awaits measuring, laser rangefinder connects in central control device in order to transmit distance data to central control device.
Through adopting above-mentioned technical scheme, radar range unit and electromagnetic ranging device are two kinds of non-destructive reinforcing bar range finding modes, radar range finding and electromagnetic ranging respectively have each advantage, install two kinds of range unit together and test same test point and regard as the reading when radar range unit and electromagnetic ranging device registration are in error range, thereby the test accuracy laser range unit that has improved testing arrangement greatly can measure the distance that testing arrangement apart from the wall, thereby guarantee that testing arrangement can laminate and test in the wall.
Preferably, the central control device is provided with a sampling point planning module, and the sampling point planning module is used for automatically generating sampling point coordinates according to engineering drawings.
By adopting the technical scheme, the sampling point planning module selects the area to be sampled according to the sampling rule and randomly selects the sampling point in the sampling area for sampling according to the structure of the engineering drawing, so that the computer randomly sets the sampling point in a certain range, the subjectivity of manually selecting the sampling point is reduced, and the influence of the subjectivity on sampling is reduced.
Preferably, the sampling point planning module comprises a deep learning module, and the deep learning module is used for deep learning of the existing engineering drawing and the coordinates of the sampling point.
By adopting the technical scheme, the deep learning module can carry out deep learning based on the existing engineering drawing and the sampling point coordinates, so that the region and the position with specific characteristics are automatically avoided in the automatic learning sampling region according to the standard, and the intelligence and the efficiency of sampling point selection are greatly improved.
Preferably, the rack is provided with a standard sample at the bottom of the displacement device, and the standard sample is used for calibrating the testing device; the testing device is characterized in that a testing base plate is connected to the top of the testing device in a sliding mode, the testing base plate is attached to the surface of one side, away from the rack, of the testing device, and a driving piece for driving the testing base plate to move downwards is arranged at the top of the testing device.
By adopting the technical scheme, the standard sample is the concrete block embedded with the reinforcing steel bars, and the distance between the surface of the concrete block and the reinforcing steel bars can be obtained and fixed through measurement, so that the standard sample is convenient to calibrate the testing device, and the testing error of the testing device is reduced; the arrangement of the test backing plate can increase a layer of concrete slab between the test device and the front surface to be tested, so that a layer of backing plate is added when the thickness of the steel bar protection layer is smaller than the range to be tested, the thickness of the backing plate is automatically subtracted after the reading is measured, and the test range of the test device is enlarged.
Preferably, the central control device further comprises a 3D modeling module, wherein the 3D modeling module is used for performing three-dimensional modeling according to an engineering drawing and marking sampling points on a three-dimensional model; the 3D modeling module is provided with a labeling module, the labeling module is used for labeling abnormal coordinate points, and the abnormal coordinate points comprise points with thickness smaller than a test range and points with the difference value of the thickness and the average value exceeding a threshold value.
By adopting the technical scheme, the 3D modeling module is convenient for three-dimensional modeling of the concrete member displayed by the engineering drawing, the structure of the concrete member can be conveniently and clearly known by testers according to the three-dimensional model, and the sampling points marked on the three-dimensional model can enable operators to rapidly know the positions of all the sampling points; and the marking module can carry out the unusual mark to all unusual sampling points to make operating personnel can fix a position unusual sampling point rapidly when handling unusual point in the later stage.
In a second aspect, the present application provides a method for detecting a thickness of a concrete reinforcement protective layer, which adopts the following technical scheme:
a detection method of a concrete reinforcement protective layer thickness detection system comprises the following steps:
s100, cleaning a wall surface to be measured;
s200, inputting an engineering drawing and automatically generating coordinates of a test point;
s300, driving the testing device to move to the coordinates of the testing points one by the displacement device and the walking device for testing;
s400, the testing device transmits the tested data to a central control device for processing; and the number of the first and second groups,
and S500, processing the abnormal coordinate point.
By adopting the technical scheme, the central control device automatically generates all test point coordinates in advance through the input engineering drawing, then controls the displacement device and the walking device to drive the test device to move to each sampling point one by one, and tests the thickness of the steel bar protection layer at each sampling point, so that the thickness of the steel bar protection layer is convenient to know, the manpower resource for testing each sampling point one by one manually by a tester is saved, and the automation degree is improved.
Preferably, the S300 includes the steps of:
s310, driving the testing device to move to a standard sample by the displacement device for calibration before testing;
s320, driving the testing device to walk by the displacement device and the walking device, and moving the testing device to a testing point one by one;
and S330, testing each test point through an electromagnetic testing device and a radar testing device and recording test data.
By adopting the technical scheme, the central control device controls the displacement device to drive the testing device to the standard sample for calibration before testing, so that automatic calibration before testing of the testing device is realized, and the testing accuracy of the testing device is improved conveniently.
Preferably, the step S500 includes the steps of:
selecting a point with the thickness smaller than the test range, driving the test base plate at the top of the test device to move downwards, then driving the test device to test again under the test base plate, and subtracting the thickness of the test base plate measured by the laser ranging device from the value obtained by the test;
and selecting points with the difference value between the thickness and the average value exceeding a threshold value to carry out destructive testing, and repairing the damaged points after the testing is finished.
By adopting the technical scheme, at the point that the thickness is smaller than the test range, the driving piece drives the test base plate to move downwards, and a test base plate is added in the test device for thickness compensation, so that the test range of the test device is expanded, and the test device can test the wall surface with the thickness smaller than the test thickness of the test device; if the difference between the thickness and the average value is too large, it indicates that there may be an abnormality, and therefore, it is necessary to perform a destructive test to verify whether the test apparatus is faulty or whether the main body of the component is defective.
In summary, the present application includes at least one of the following beneficial technical effects:
1. by adopting the technology of matching the testing device, the central control device, the displacement device and the walking device, the sampling point to be tested can be automatically tested conveniently, the labor cost is reduced, and the testing efficiency is improved;
2. by adopting the technology of matching the linear motor, the horizontal motor, the electromagnetic distance measuring device, the radar distance measuring device, the laser distance measuring device, the standard sample, the test base plate and the driving piece, the test range is enlarged, and the test accuracy is improved;
3. by adopting the technology of matching the sampling point planning module, the depth learning module, the 3D modeling module and the marking module, the sampling points are automatically selected, and the subjectivity of the selection of the sampling points is reduced so as to improve the test accuracy.
Drawings
Fig. 1 is a schematic structural diagram of a main body of a concrete reinforcing bar protective layer thickness detection system in an embodiment of the present application;
FIG. 2 is a schematic view for showing the structure of a walking device in the embodiment of the present application;
fig. 3 is a block diagram of a control logic for a central control device in the embodiment of the present application.
Description of reference numerals: 1. a frame; 11. a balancing weight; 2. a displacement device; 21. a linear motor; 210. a support bar; 22. a horizontal motor; 221. an electric push rod; 2211. mounting a plate; 2212. an extension plate; 2213. a support plate; 3. a testing device; 31. a radar ranging device; 32. an electromagnetic distance measuring device; 33. a laser ranging device; 34. testing the base plate; 35. a drive member; 36. a standard sample; 4. a central control device; 41. a sampling point planning module; 42. a deep learning module; 43. a 3D modeling module; 44. a labeling module; 5. a traveling device; 51. a driven wheel; 52. a driving wheel; 521. a driving gear; 53. a drive motor; 531. the gears are driven.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses a concrete reinforcement protective layer thickness detection system. Referring to fig. 1, the concrete reinforcement protective layer thickness detection system includes a rack 1, and the rack 1 is formed by welding square iron pipes. The displacement device 2 is installed on one side of the rack 1, the displacement device 2 comprises linear motors 21 installed on two sides of the width direction of the rack 1 through bolts and horizontal motors 22 fixed on sliders of the linear motors 21 through bolts, and inclined support rods 210 are installed between the linear motors 21 and the rack 1 through bolts.
Referring to fig. 1, an electric push rod 221 is fixed on a slide block of a horizontal motor 22 through a bolt and a hoop, a mounting plate 2211 is fixed to a piston rod of the electric push rod 221 in a welded manner, a testing device 3 is mounted on the surface of the mounting plate 2211 far away from the electric push rod 221, and a displacement device 2 is used for driving the testing device 3 to move in two dimensions on a vertical plane. The testing device 3 comprises a radar ranging device 31 and an electromagnetic ranging device 32, and the radar ranging device 31 and the electromagnetic ranging device 32 are respectively used for testing the positions of the steel bars at the same testing point; and a laser ranging device 33 is arranged on one side of the testing device 3, and the laser ranging device 33 is used for measuring the distance from the testing device 3 to the wall surface to be tested. Radar range unit 31 and electromagnetic range unit 32 install the same high position at mounting panel 2211 top, and laser range unit 33 installs and is located the bottom of radar range unit 31 and electromagnetic range unit 32 at mounting panel 2211.
Referring to fig. 1, the radar ranging device 31 measures the distance to the reinforcing bars by emitting electromagnetic waves, reflecting from the interface of the material having different electrical properties from those of the concrete, such as reinforcing bars, etc., and again receiving by the antenna on the surface of the radar ranging device 31. The electromagnetic distance measuring device 32 has a probe composed of a plurality of coils to generate an electromagnetic field, when the steel bar is located in the electromagnetic field, the magnetic lines of force are deformed to change the distribution of the intensity of the electromagnetic field, and the change is detected by the probe to measure the distance between the probe and the steel bar. The laser distance measuring device 33 emits laser, and the laser is reflected back to the laser distance measuring device 33 through the wall surface, so as to measure the distance between the laser distance measuring device 33 and the wall surface.
Referring to fig. 1, a testing backing plate 34 is connected to the top of the testing device 3 in a sliding manner, and the testing backing plate 34 is a concrete slab; the test pad 34 is in abutment with a surface of the testing device 3 on a side facing away from the frame 1. Descending driving piece 35 of drive test backing plate 34 is installed at 3 tops of testing arrangement, mounting panel 2211 top welded fastening has extension plate 2212, extension plate 2212 is located 3 one side integrated into one piece of testing arrangement and has backup pad 2213, driving piece 35 is inserted and is established and pass through the bolt fastening in backup pad 2213, driving piece 35 can be electronic jar, the piston rod of driving piece 35 sets up downwards, test backing plate 34 passes through the bolt fastening on the piston rod, test backing plate 34 shelters from radar range unit 31 and electromagnetic range unit 32 and does not lead to sheltering from laser range unit 33 when going downwards to the least.
Referring to fig. 1, the rack 1 is provided with a standard sample 36 at the bottom of the displacement device 2, the standard sample 36 is a square concrete block with a steel bar embedded therein, the distance between the steel bar and the surface of the concrete block is known, and the standard sample 36 is used for calibration of the testing device 3.
Referring to fig. 1, a central control apparatus 4 for receiving and processing data is connected to the test apparatus 3, and the central control apparatus 4 is an industrial computer. The laser ranging device 33 is connected to the central control device 4 to transmit distance data to the central control device 4; the displacement device 2, the electric push rod 221 and the driving member 35 are connected to the central control device 4 to receive control commands from the central control device 4.
Referring to fig. 1 and 2, a traveling device 5 for driving the rack 1 to travel is arranged at the bottom of the rack 1, the traveling device 5 comprises a driven wheel 51 rotatably connected to one side of the rack 1 and a driving wheel 52 rotatably connected to the other side of the rack 1, a driving gear 521 is fixed to a rotating shaft of the driving wheel 52 through a flat key, a driving motor 53 is installed at the bottom of the rack 1 through a bolt, a driving gear 531 meshed with the driving gear 521 is fixedly connected to the driving motor 53 through a flat key, and the driving motor 53 is connected to the central control device 4 to drive the rack 1 to move along the length direction of the wall.
Referring to fig. 2, a counterweight 11 is placed on the top of the driving motor 53 of the frame 1, the counterweight 11 is a concrete block, and the counterweight 11 is fixed on the frame 1 by bolts to prevent the frame 1 from overturning. The central control device 4 is mounted on the counterweight 11 by means of bolts.
Referring to fig. 3, the central control device 4 is provided with a sampling point planning module 41, the sampling point planning module 41 is used for automatically generating coordinates of a sampling point according to an engineering drawing, and the sampling point planning module 41 automatically selects a structure or a component position to be tested according to the input engineering drawing and randomly selects a steel bar position as the sampling point for testing.
Referring to fig. 3, the sampling point planning module 41 includes a deep learning module 42, and the deep learning module 42 is used for deep learning of the existing engineering drawing and the coordinates of the sampling point. The deep learning module 42 is edited with an image local feature point detection algorithm based on deep learning, and is used for selecting a component which meets the feature on the engineering drawing. The deep learning module 42 also compiles a random point coordinate production algorithm to randomly select coordinate points as sampling points within the range of the component conforming to the characteristics.
Referring to fig. 3, the central control device 4 further includes a 3D modeling module 43, where the 3D modeling module 43 is configured to perform three-dimensional modeling according to an engineering drawing and mark sampling points on a three-dimensional model; all sample points are labeled with green points that are distinct from the 3D model color. The 3D modeling module 43 is provided with a labeling module 44, the labeling module 44 is used for labeling abnormal coordinate points, the abnormal coordinate points comprise points with thickness smaller than a testing range and points with thickness and average value difference values exceeding a threshold value, the points with thickness smaller than the testing range are labeled as yellow points, and the points with the average value difference values exceeding the threshold value are labeled as red, so that an operator can conveniently know the abnormal coordinate points.
The embodiment of the application also discloses a detection method applied to the concrete reinforcement protective layer thickness detection system; the method for detecting the thickness of the concrete reinforcement protective layer comprises the following steps:
s100, cleaning a wall surface to be measured;
and cleaning the wall surface to be measured so that the wall surface is clean and flat.
S200, inputting an engineering drawing and automatically generating coordinates of a test point;
and determining the area to be tested according to the correlation of factors such as the project name, the component type, the concrete strength, the environmental condition, the stress state of the component, the service life, the fire protection grade and the like in the project drawing, avoiding the metal embedded part as far as possible, and automatically generating a random coordinate point according to the area range. The sampling point planning module 41 automatically generates the tested coordinate points according to the learning result of the depth learning module 42 and transmits the coordinate points to the displacement device 2.
And S300, driving the testing device 3 to move to the coordinates of the test point one by the displacement device 2 and the walking device 5 for testing. The method specifically comprises the following steps:
s310, the displacement device 2 drives the testing device 3 to move to the standard sample 36 for calibration before testing;
the central control device 4 controls the displacement device 2 to move to the position of the standard sample 36 to detect the standard sample 36, and the thickness of the protective layer of the standard sample 36 is known, so that the testing device 3 can judge the error of the testing device 3 after the testing of the standard sample 36 until the testing device 3 is calibrated to be accurate.
S320, driving the testing device 3 to walk by the displacement device 2 and the walking device 5, and moving the testing device to a testing point one by one;
each test area needs to detect a plurality of test points, therefore displacement device 2 drive testing arrangement 3 constantly removes to different sampling points to test at different sampling point coordinates, thereby can carry out comprehensive test to the reinforcing bar net.
And S330, testing each test point through the electromagnetic test device 3 and the radar test device 3 and recording test data.
At each test point, the electromagnetic testing device 3 and the radar testing device 3 in the testing device 3 simultaneously test the thickness of the steel bar protection layer at the same point, when the readings tested by the electromagnetic testing device 3 and the radar testing device 3 are inconsistent, the control device controls the testing device 3 to move to the standard sample 36 again for calibration, and after the calibration is completed, the coordinate points with inconsistent readings are tested again to ensure the accuracy of the test.
S400, the testing device 3 transmits the tested data to the central control device 4 for processing;
the central control device 4 classifies all the coordinates according to different sampling areas, compares the classified steel bar protective layer with the standard thickness value, gives a suggestion of the thickness of the sampling point,
and S500, processing the abnormal coordinate point.
Step S500 includes the following steps:
selecting a point with the thickness smaller than the test range, driving the test base plate 34 at the top of the test device 3 to move downwards, then driving the test device 3 to test again under the test base plate 34, and subtracting the thickness of the test base plate 34 measured by the laser ranging device 33 from the value obtained by the test;
because the testing range of the testing device 3 is limited, some steel bar protective layers cannot be tested when the thickness of the steel bar protective layers is smaller than the testing range, the driving piece 35 at the top of the testing device 3 drives the testing backing plate 34 to move downwards to the surface of the testing device 3, a certain distance can be added on the surface of the testing device 3, so that the testing device 3 can test the thickness of the steel bar protective layers, and the thickness of the steel bar protective layers can be obtained by subtracting the thickness of the testing backing plate 34 from the measured thickness.
And selecting points with the difference value between the thickness and the average value exceeding a threshold value to carry out destructive testing, and repairing the damaged points after the testing is finished.
Because the thickness that the sampling point was tested and average value difference when too big may have the testing problem or be unqualified, through destructive test this moment, carry out actual measurement through chiseling the concrete protective layer and through slide caliper to be convenient for learn the true condition of the great sampling point of thickness difference.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. The utility model provides a concrete reinforcement protective layer thickness detecting system, includes frame (1), its characterized in that: be provided with testing arrangement (3) that are used for testing thickness on frame (1), testing arrangement (3) are connected with central control device (4) of receiving and processing data, be provided with displacement device (2) that drive testing arrangement (3) two-dimensional movement in vertical plane on frame (1), frame (1) bottom is provided with running gear (5) that drive frame (1) walked, displacement device (2) and running gear (5) all are connected in central control device (4) in order to carry out the control command who comes from central control device (4).
2. The concrete reinforcing bar protection layer thickness detection system of claim 1, wherein: the displacement device (2) comprises linear motors (21) located on two sides of the width direction of the rack (1) and horizontal motors (22) fixed on sliding blocks of the linear motors (21), and the testing device (3) is fixed on the sliding blocks of the horizontal motors (22).
3. The concrete reinforcing bar protection layer thickness detection system of claim 1, wherein: the testing device (3) comprises a radar ranging device (31) and an electromagnetic ranging device (32), and the radar ranging device (31) and the electromagnetic ranging device (32) are respectively used for testing the positions of the steel bars at the same testing point; testing arrangement (3) one side is provided with laser rangefinder (33), laser rangefinder (33) are used for measuring testing arrangement (3) apart from the distance of the wall that awaits measuring, laser rangefinder (33) are connected in central control device (4) in order to transmit distance data to central control device (4).
4. The concrete reinforcing bar protection layer thickness detection system of claim 1, wherein: the central control device (4) is provided with a sampling point planning module (41), and the sampling point planning module (41) is used for automatically generating sampling point coordinates according to engineering drawings.
5. The concrete reinforcing bar protection layer thickness detection system of claim 4, wherein: the sampling point planning module (41) comprises a deep learning module (42), and the deep learning module (42) is used for performing deep learning on the existing engineering drawing and the coordinates of the sampling point.
6. The concrete reinforcing bar protection layer thickness detection system of claim 1, wherein: the rack (1) is provided with a standard sample (36) at the bottom of the displacement device (2), and the standard sample (36) is used for calibrating the testing device (3); testing arrangement (3) top is slided and is connected with test backing plate (34), one side surface that test backing plate (34) and testing arrangement (3) deviate from frame (1) is laminated mutually, testing arrangement (3) top is provided with drive test backing plate (34) descending driving piece (35).
7. The concrete reinforcing bar protection layer thickness detection system of claim 1, wherein: the central control device (4) further comprises a 3D modeling module (43), wherein the 3D modeling module (43) is used for carrying out three-dimensional modeling according to an engineering drawing and marking sampling points on a three-dimensional model; the 3D modeling module (43) is provided with a labeling module (44), the labeling module (44) is used for labeling abnormal coordinate points, and the abnormal coordinate points comprise points with the thickness smaller than a test range and points with the difference value of the thickness and the average value exceeding a threshold value.
8. A method for detecting a thickness of a concrete reinforcing bar protective layer according to any one of claims 1 to 7, comprising:
s100, cleaning a wall surface to be measured;
s200, inputting an engineering drawing and automatically generating coordinates of a test point;
s300, driving the testing device (3) to move to the coordinates of the test point one by the displacement device (2) and the walking device (5) for testing;
s400, the testing device (3) transmits the tested data to the central control device (4) for processing; and the number of the first and second groups,
and S500, processing the abnormal coordinate point.
9. The method for detecting the thickness of the concrete reinforcing steel bar protective layer according to claim 8, wherein: the S300 includes the following steps:
s310, the displacement device (2) drives the testing device (3) to move to the standard sample (36) for calibration before testing;
s320, driving the testing device (3) to walk by the displacement device (2) and the walking device (5), and moving the testing device to a testing point one by one;
and S330, testing each test point through the electromagnetic test device (3) and the radar test device (3) and recording test data.
10. The method for detecting the thickness of the concrete reinforcing steel bar protective layer according to claim 8, wherein: the step S500 includes the steps of:
selecting a point with the thickness smaller than the test range, driving the test base plate (34) at the top of the test device (3) to move downwards, then driving the test device (3) to test again under the test base plate (34), and subtracting the thickness of the test base plate (34) measured by the laser ranging device (33) from the value obtained by the test;
and selecting points with the difference value between the thickness and the average value exceeding a threshold value to carry out destructive testing, and repairing the damaged points after the testing is finished.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011460090.4A CN112666545A (en) | 2020-12-11 | 2020-12-11 | Concrete reinforcement protective layer thickness detection system and detection method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011460090.4A CN112666545A (en) | 2020-12-11 | 2020-12-11 | Concrete reinforcement protective layer thickness detection system and detection method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112666545A true CN112666545A (en) | 2021-04-16 |
Family
ID=75405269
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011460090.4A Pending CN112666545A (en) | 2020-12-11 | 2020-12-11 | Concrete reinforcement protective layer thickness detection system and detection method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112666545A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104359391A (en) * | 2014-12-12 | 2015-02-18 | 张卫东 | Detecting device for reinforced concrete protective layer measurer and floor thickness measurer |
| CN105021802A (en) * | 2015-08-13 | 2015-11-04 | 中国科学院电子学研究所 | Handheld type concrete structure detector and detection method thereof |
| CN106643502A (en) * | 2017-01-03 | 2017-05-10 | 湖南农业大学 | Device and method for measuring distribution characteristics of surface rusting of steel bar |
| CN108303057A (en) * | 2018-02-06 | 2018-07-20 | 内蒙古自治区计量测试研究院 | A kind of cover protectometer calibrating installation |
| CN109163650A (en) * | 2018-07-06 | 2019-01-08 | 北京磐石建设监理有限责任公司 | A kind of cover to reinforcement detector |
| CN110109192A (en) * | 2019-05-23 | 2019-08-09 | 南充市嘉恒建设工程质量检测有限公司 | A kind of reinforcing bar survey meter auxiliary detection device and its application method |
| CN209260574U (en) * | 2018-12-03 | 2019-08-16 | 浙江春天建设有限公司 | A control and inspection machine for steel bar protection layer of bridge deck concrete pavement layer |
| CN110174709A (en) * | 2019-05-06 | 2019-08-27 | 四川驿都建设工程质量检测有限公司 | Reinforcing bar survey meter detects auxiliary device and its application method |
| CN210833334U (en) * | 2019-10-23 | 2020-06-23 | 四川精正建设管理咨询有限公司 | Concrete protective layer thickness detector |
| CN111798411A (en) * | 2020-06-03 | 2020-10-20 | 广州大学 | An intelligent localization method of steel reinforcement in concrete based on ground penetrating radar and deep learning |
| CN111854666A (en) * | 2020-07-09 | 2020-10-30 | 广东雄炜建筑工程检测有限公司 | Method for scanning steel bars and detecting thickness of concrete protection layer |
-
2020
- 2020-12-11 CN CN202011460090.4A patent/CN112666545A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104359391A (en) * | 2014-12-12 | 2015-02-18 | 张卫东 | Detecting device for reinforced concrete protective layer measurer and floor thickness measurer |
| CN105021802A (en) * | 2015-08-13 | 2015-11-04 | 中国科学院电子学研究所 | Handheld type concrete structure detector and detection method thereof |
| CN106643502A (en) * | 2017-01-03 | 2017-05-10 | 湖南农业大学 | Device and method for measuring distribution characteristics of surface rusting of steel bar |
| CN108303057A (en) * | 2018-02-06 | 2018-07-20 | 内蒙古自治区计量测试研究院 | A kind of cover protectometer calibrating installation |
| CN109163650A (en) * | 2018-07-06 | 2019-01-08 | 北京磐石建设监理有限责任公司 | A kind of cover to reinforcement detector |
| CN209260574U (en) * | 2018-12-03 | 2019-08-16 | 浙江春天建设有限公司 | A control and inspection machine for steel bar protection layer of bridge deck concrete pavement layer |
| CN110174709A (en) * | 2019-05-06 | 2019-08-27 | 四川驿都建设工程质量检测有限公司 | Reinforcing bar survey meter detects auxiliary device and its application method |
| CN110109192A (en) * | 2019-05-23 | 2019-08-09 | 南充市嘉恒建设工程质量检测有限公司 | A kind of reinforcing bar survey meter auxiliary detection device and its application method |
| CN210833334U (en) * | 2019-10-23 | 2020-06-23 | 四川精正建设管理咨询有限公司 | Concrete protective layer thickness detector |
| CN111798411A (en) * | 2020-06-03 | 2020-10-20 | 广州大学 | An intelligent localization method of steel reinforcement in concrete based on ground penetrating radar and deep learning |
| CN111854666A (en) * | 2020-07-09 | 2020-10-30 | 广东雄炜建筑工程检测有限公司 | Method for scanning steel bars and detecting thickness of concrete protection layer |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kim et al. | Non-contact sensing based geometric quality assessment of buildings and civil structures: A review | |
| CN108572248A (en) | A Method for Evaluating Technical Condition of Roads Based on Nondestructive Testing Technology | |
| CN112611754B (en) | Method for evaluating appearance quality of bare concrete | |
| CN110031352A (en) | Rockwell apparatus Standard Machine and hardness calibration method | |
| CN108895992A (en) | A kind of laser scanning device and application method for distress in concrete fracture surface roughness | |
| CN110274563B (en) | Error detection and calibration device and method for non-metal plate thickness gauge | |
| CN108414371B (en) | A non-destructive testing method for cracks in asphalt pavement | |
| CN109141296A (en) | A kind of T-type guide rail guide surface flatness detection system and method | |
| CN111854666A (en) | Method for scanning steel bars and detecting thickness of concrete protection layer | |
| RU2467318C1 (en) | Method of multi-parameter control of building structures (transport tunnels, buildings, structures) | |
| Jakubowski et al. | Data-driven approach to structural analysis of shaft steelwork under corrosion | |
| Cruz et al. | Application of radar techniques to the verification of design plans and the detection of defects in concrete bridges | |
| CN112666545A (en) | Concrete reinforcement protective layer thickness detection system and detection method thereof | |
| CN114076943A (en) | Rapid automatic comprehensive detection method for urban road underground cavity | |
| US8269483B2 (en) | Magnetic flux tagging for quality construction | |
| CN105954502B (en) | A kind of radar wave lossless detection method of ancient building pin internal flaw | |
| CN110595402B (en) | Floor slab thickness gauge error detection and calibration device and method | |
| RU2177144C1 (en) | Way to construct multiparametric digital models of construction objects, to analyze and model their states ( variants ) | |
| Kurz et al. | Condition assessment of reinforced concrete structures using automated multi-sensor systems | |
| CN116718091A (en) | Wharf panel maintenance reinforcement quality assessment method | |
| Kebig et al. | Repeatability and precision of different static deflection measurements on a real bridge-part under outdoor conditions in view of damage detection | |
| CN116007494A (en) | Full-automatic large-scale construction part detection device and detection method thereof | |
| Zečić et al. | Prototyping of a Wall-climbing Robot for the Inspection of Concrete Bridges | |
| CN113108680B (en) | Method for judging position of main rib in cement pole based on magnetic field intensity change | |
| CN110319763B (en) | Measuring device and measuring method for crack form of reinforced concrete bridge |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210416 |