CN111337504A - Method for detecting concrete crack change - Google Patents
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- CN111337504A CN111337504A CN202010201642.3A CN202010201642A CN111337504A CN 111337504 A CN111337504 A CN 111337504A CN 202010201642 A CN202010201642 A CN 202010201642A CN 111337504 A CN111337504 A CN 111337504A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000001514 detection method Methods 0.000 claims abstract description 36
- 238000010276 construction Methods 0.000 claims abstract description 5
- 239000000203 mixture Substances 0.000 claims abstract description 5
- 238000010586 diagram Methods 0.000 claims description 8
- 238000001914 filtration Methods 0.000 claims description 8
- 238000007405 data analysis Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 claims description 4
- 239000012535 impurity Substances 0.000 claims description 4
- 239000013589 supplement Substances 0.000 claims description 4
- 238000001952 enzyme assay Methods 0.000 claims 1
- 239000013307 optical fiber Substances 0.000 claims 1
- 239000012615 aggregate Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009435 building construction Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8861—Determining coordinates of flaws
- G01N2021/8864—Mapping zones of defects
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
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- G01N2291/023—Solids
- G01N2291/0232—Glass, ceramics, concrete or stone
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
- G01N2291/0289—Internal structure, e.g. defects, grain size, texture
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Abstract
The invention discloses a method for detecting concrete crack change, which relates to the technical field of concrete crack detection and comprises the following specific steps: (1) the method comprises the steps of (1) collecting a concrete crack image, (2) drawing the concrete crack image, (3) collecting concrete crack data, (4) obtaining a three-dimensional composition of the concrete crack, (5) collecting concrete crack change data, (6) processing the concrete crack change data, and (7) constructing a concrete crack change model. According to the method for detecting the change of the concrete cracks, the image of the concrete cracks can be obtained through the image acquisition device, the position, the trend, the depth and the width information of the concrete cracks can be obtained through the ultrasonic detection device, the three-dimensional construction drawing of the concrete cracks can be conveniently constructed, the data detection precision is improved through repeated detection data for many times, sufficient detection data can be obtained, the change conditions can be conveniently compared, and the change conditions of the concrete cracks can be fully known.
Description
Technical Field
The invention relates to the technical field of concrete crack detection, in particular to a method for detecting concrete crack change.
Background
The concrete is a general name of composite materials which are prepared by gel materials, aggregates and water according to a proper proportion and are hardened for a certain time. Concrete cracks are physical structural changes of concrete structures due to the action of internal and external factors, and cracks are a main cause of reduction in bearing capacity, durability and waterproofness of concrete structures. Therefore, during the building construction process, the change condition of the concrete cracks needs to be detected
The existing concrete cracks have less detection data in the detection process, cannot fully detect the position, the trend, the depth and the width of the concrete cracks, can have interference data, cannot fully know the change condition of the concrete cracks, and is not convenient for predicting the change condition of the concrete, so that a method for detecting the change of the concrete cracks is provided.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for detecting the change of a concrete crack, and solves the problems that the existing concrete crack proposed in the background art has less detection data in the detection process, cannot fully detect the position, the trend, the depth and the width of the concrete crack, also can have interference data, cannot fully know the change condition of the concrete crack, and is inconvenient to predict the change condition of the concrete crack.
In order to achieve the purpose, the invention is realized by the following technical scheme: a method for detecting concrete crack changes comprises the following specific steps:
(1) collecting concrete crack images
The image acquisition device horizontally moves above the concrete to acquire images, so that concrete crack images are acquired, the light intensity can be increased through the light supplement lamp in the process, and the shooting effect is improved;
(2) drawing concrete crack image
Sending the concrete crack image to an image processing system for processing to obtain crack information, and filtering the image by adopting a filtering method in the image processing process to obtain a clearer image outline so as to observe a crack area;
(3) collecting concrete crack data
The ultrasonic detection head horizontally moves above the concrete, the ultrasonic sensor is adopted to transmit and receive ultrasonic waves, and the ultrasonic waves are obviously reflected to form a reflected echo when contacting impurities or an interface, so that the crack condition and specific information of the concrete can be detected;
(4) obtaining three-dimensional composition of concrete crack
Importing concrete crack information data acquired by an ultrasonic sensor into a processing system, comparing concrete crack images, drawing a crack distribution diagram, recording the position, the trend, the depth and the width of a crack, and reproducing a three-dimensional construction diagram of the concrete crack;
(5) collecting concrete crack change data
Repeatedly executing the steps, setting repeated detection intervals, increasing data acquisition amount, and regularly acquiring concrete crack information through the image acquisition device and the ultrasonic sensor within preset time to realize the detection process of the concrete crack;
(6) concrete crack change data processing
Comprehensively summarizing the information of the steps so as to record the crack change condition of the concrete, storing a plurality of groups of original data and image records in a system, grouping the original data through a data analysis module, simultaneously eliminating interference data, and obtaining and storing effective data;
(7) constructing concrete crack change model
Inputting concrete crack actual change information to form a crack propagation rate fitting graph, drawing a concrete crack change model, and introducing concrete crack influence factors so as to predict the expected change condition of the concrete crack.
Optionally, the image acquisition device and the ultrasonic detection head in the steps (1) and (3) move horizontally, and the moving mode is to erect a horizontal moving track on the concrete detection surface.
Optionally, the repeated detection time interval in the step (5) is 15min, and the detection time duration is 20-24 h.
Optionally, a cloud database is created in the step (6), the original data and the image records are stored in an original data recording module, and meanwhile, the data records are uploaded to the cloud database for data backup.
The invention provides a method for detecting concrete crack change, which has the following beneficial effects: this method for detecting concrete crack changes, can obtain the concrete crack image through image acquisition device, can obtain the cracked position of concrete through ultrasonic detection device, move towards, degree of depth and width information, conveniently establish the cracked three-dimensional map of constructing of concrete, through the repeated detection data many times, improve the data detection precision, can obtain abundant detected data, conveniently contrast the situation of change, fully know the cracked situation of change of concrete, and be provided with the high in the clouds database, can save and backup the record to detected data, avoid appearing the condition that the data is lost, can also pass through concrete crack change model, adopt more scientific means to carry out data analysis and processing, change condition to the concrete predicts.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to specific embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
A method for detecting concrete crack changes comprises the following specific steps:
(1) collecting concrete crack images
The image acquisition device horizontally moves above the concrete to acquire images, so that concrete crack images are acquired, the light intensity can be increased through the light supplement lamp in the process, the shooting effect is improved, the image acquisition device horizontally moves, and the moving mode is that a horizontal moving track is erected on a concrete detection surface;
(2) drawing concrete crack image
Sending the concrete crack image to an image processing system for processing to obtain crack information, and filtering the image by adopting a filtering method in the image processing process to obtain a clearer image outline so as to observe a crack area;
(3) collecting concrete crack data
The ultrasonic detection head horizontally moves above the concrete, the ultrasonic sensor is adopted to transmit and receive ultrasonic waves, and the ultrasonic waves are obviously reflected to form a reflected echo when contacting impurities or an interface, so that the crack condition and specific information of the concrete can be detected;
(4) obtaining three-dimensional composition of concrete crack
Importing concrete crack information data acquired by an ultrasonic sensor into a processing system, comparing concrete crack images, drawing a crack distribution diagram, recording the position, the trend, the depth and the width of a crack, and reproducing a three-dimensional construction diagram of the concrete crack;
(5) collecting concrete crack change data
Repeatedly executing the steps, setting repeated detection intervals, setting the repeated detection time interval to be 15min, setting the detection time duration to be 20-24h, increasing the data acquisition amount, and periodically acquiring concrete crack information through an image acquisition device and an ultrasonic sensor in preset time to realize the detection process of the concrete cracks;
(6) concrete crack change data processing
Comprehensively summarizing the information in the steps so as to record the crack change condition of the concrete, storing a plurality of groups of original data and image records in a system, grouping the original data through a data analysis module, simultaneously eliminating interference data, obtaining and storing effective data, creating a cloud database, storing the original data and the image records in an original data recording module, and simultaneously uploading the effective data and the image records to the cloud database for data backup;
(7) constructing concrete crack change model
Inputting concrete crack actual change information to form a crack propagation rate fitting graph, drawing a concrete crack change model, and introducing concrete crack influence factors so as to predict the expected change condition of the concrete crack.
In summary, the method for detecting the concrete crack change comprises the following specific steps:
(1) collecting concrete crack images: the image acquisition device horizontally moves above the concrete to acquire images, so that concrete crack images are acquired, the light intensity can be increased through the light supplement lamp in the process, and the shooting effect is improved;
(2) drawing a concrete crack image: sending the concrete crack image to an image processing system for processing to obtain crack information, and filtering the image by adopting a filtering method in the image processing process to obtain a clearer image outline so as to observe a crack area;
(3) collecting concrete crack data: the ultrasonic detection head horizontally moves above the concrete, the ultrasonic sensor is adopted to transmit and receive ultrasonic waves, and the ultrasonic waves are obviously reflected to form a reflected echo when contacting impurities or an interface, so that the crack condition and specific information of the concrete can be detected;
(4) obtaining a three-dimensional composition of a concrete crack: importing concrete crack information data acquired by an ultrasonic sensor into a processing system, comparing concrete crack images, drawing a crack distribution diagram, recording the position, the trend, the depth and the width of a crack, and reproducing a three-dimensional construction diagram of the concrete crack;
(5) collecting concrete crack change data: repeatedly executing the steps, setting repeated detection intervals, increasing data acquisition amount, and regularly acquiring concrete crack information through the image acquisition device and the ultrasonic sensor within preset time to realize the detection process of the concrete crack;
(6) processing concrete crack change data: comprehensively summarizing the information of the steps so as to record the crack change condition of the concrete, storing a plurality of groups of original data and image records in a system, grouping the original data through a data analysis module, simultaneously eliminating interference data, and obtaining and storing effective data;
(7) constructing a concrete crack change model: inputting concrete crack actual change information to form a crack propagation rate fitting graph, drawing a concrete crack change model, and introducing concrete crack influence factors so as to predict the expected change condition of the concrete crack.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (4)
1. A method for detecting concrete crack changes is characterized by comprising the following specific steps:
(1) collecting concrete crack images
The image acquisition device horizontally moves above the concrete to acquire images, so that concrete crack images are acquired, the light intensity can be increased through the light supplement lamp in the process, and the shooting effect is improved;
(2) drawing concrete crack image
Sending the concrete crack image to an image processing system for processing to obtain crack information, and filtering the image by adopting a filtering method in the image processing process to obtain a clearer image outline so as to observe a crack area;
(3) collecting concrete crack data
The ultrasonic detection head horizontally moves above the concrete, the ultrasonic sensor is adopted to transmit and receive ultrasonic waves, and the ultrasonic waves are obviously reflected to form a reflected echo when contacting impurities or an interface, so that the crack condition and specific information of the concrete can be detected;
(4) obtaining three-dimensional composition of concrete crack
Importing concrete crack information data acquired by an ultrasonic sensor into a processing system, comparing concrete crack images, drawing a crack distribution diagram, recording the position, the trend, the depth and the width of a crack, and reproducing a three-dimensional construction diagram of the concrete crack;
(5) collecting concrete crack change data
Repeatedly executing the steps, setting repeated detection intervals, increasing data acquisition amount, and regularly acquiring concrete crack information through the image acquisition device and the ultrasonic sensor within preset time to realize the detection process of the concrete crack;
(6) concrete crack change data processing
Comprehensively summarizing the information of the steps so as to record the crack change condition of the concrete, storing a plurality of groups of original data and image records in a system, grouping the original data through a data analysis module, simultaneously eliminating interference data, and obtaining and storing effective data;
(7) constructing concrete crack change model
Inputting concrete crack actual change information to form a crack propagation rate fitting graph, drawing a concrete crack change model, and introducing concrete crack influence factors so as to predict the expected change condition of the concrete crack.
2. The optical fiber sensing method for detecting the stress change of the concrete structure according to any one of claim 1, wherein: and (3) horizontally moving the image acquisition device and the ultrasonic detection head in the steps (1) and (3), wherein a horizontally moving track is erected on the concrete detection surface in a moving mode.
3. The method for detecting the crack change of the concrete according to claim 1, wherein the method comprises the following steps: in the step (5), the repeated detection time interval is 15min, and the detection time is 20-24 h.
4. The method for detecting the titer of enzyme activity assay according to claim 1, wherein: and (6) creating a cloud database, storing the original data and the image records in an original data recording module, and uploading the original data and the image records to the cloud database for data backup.
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| CN202010201642.3A CN111337504A (en) | 2020-03-20 | 2020-03-20 | Method for detecting concrete crack change |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112364498A (en) * | 2020-11-05 | 2021-02-12 | 深圳市海腾建设工程有限公司 | Building detection method, detection device and storage medium |
| CN112485262A (en) * | 2020-12-22 | 2021-03-12 | 常州信息职业技术学院 | Method and device for detecting apparent crack width and expansion evolution of concrete |
| CN112814381A (en) * | 2020-12-31 | 2021-05-18 | 广东大禹水利建设有限公司 | Control method for stress at pull rod in pump station engineering concrete construction |
| CN113367829A (en) * | 2021-06-03 | 2021-09-10 | 苏州苏穗绿梦生物技术有限公司 | Tooth detection system and detection method based on ultrasonic waves |
| CN115290409A (en) * | 2022-08-03 | 2022-11-04 | 燕山大学 | Method for inducing and quantitatively characterizing cracks of reinforced concrete test piece |
| CN116990391A (en) * | 2023-09-27 | 2023-11-03 | 江苏迪莫工业智能科技有限公司 | Bearing detection system and detection method |
| CN117030724A (en) * | 2023-10-09 | 2023-11-10 | 诺比侃人工智能科技(成都)股份有限公司 | Multi-mode industrial defect analysis method and system based on deep learning |
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| CN116990391A (en) * | 2023-09-27 | 2023-11-03 | 江苏迪莫工业智能科技有限公司 | Bearing detection system and detection method |
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| CN117030724A (en) * | 2023-10-09 | 2023-11-10 | 诺比侃人工智能科技(成都)股份有限公司 | Multi-mode industrial defect analysis method and system based on deep learning |
| CN117030724B (en) * | 2023-10-09 | 2023-12-08 | 诺比侃人工智能科技(成都)股份有限公司 | Multi-mode industrial defect analysis method and system based on deep learning |
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