CN107747907A - A kind of detection method in underground pipe gallery crack - Google Patents

A kind of detection method in underground pipe gallery crack Download PDF

Info

Publication number
CN107747907A
CN107747907A CN201710899285.0A CN201710899285A CN107747907A CN 107747907 A CN107747907 A CN 107747907A CN 201710899285 A CN201710899285 A CN 201710899285A CN 107747907 A CN107747907 A CN 107747907A
Authority
CN
China
Prior art keywords
crack
piping lane
image
detection method
pipe gallery
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
Application number
CN201710899285.0A
Other languages
Chinese (zh)
Inventor
史炜
黄超
王瀚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China MCC17 Group Co Ltd
Original Assignee
China MCC17 Group Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China MCC17 Group Co Ltd filed Critical China MCC17 Group Co Ltd
Priority to CN201710899285.0A priority Critical patent/CN107747907A/en
Publication of CN107747907A publication Critical patent/CN107747907A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/02Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/022Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/02Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/028Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by measuring lateral position of a boundary of the object
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B17/00Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations

Abstract

The present invention provides the present invention and provides a kind of detection method in underground pipe gallery crack, IMAQ is carried out to piping lane first, the processing such as then it is filtered, sharpens, strengthening with computer, slit width calculating is carried out afterwards, and detects the penetration of fracture with ultrasonic pulse method, finally collects crack information, the present invention carries out IMAQ using unmanned plane to piping lane, the flexibility ratio of Collecting operation is improved, saves manpower and materials, substantially increases the efficiency of information gathering;Image analysis process can realize that program has good transplantability with computer programming, can use infinitely, and detection method automation, intellectuality, testing result is accurately and reliably.

Description

A kind of detection method in underground pipe gallery crack
Technical field
The invention belongs to municipal infrastructure project field, specially a kind of Crack Detection side of piping lane concrete structure Method.
Background technology
Piping lane is the parking space of all kinds of comprehensive pipelines of Urban Underground (water, electricity, warm, communication etc.), with social economy Gradually development, urban land is more and more nervous, reasonable development and be the important directions of construction of future cities using the underground space.Pipe The construction of corridor is advantageous to the rational deployment of all kinds of pipelines, and prolonged operation maintenance, thus in recent years China built it is more The city integrated piping lane of bar.
Piping lane typically uses reinforced concrete structure, because construction, load, temperature change, differential settlement, concrete are received The factors such as contracting, when the deformation energy inside concrete material is excessive, macrocrack will be produced, reduces the durability and safety of structure Property, bring great hidden danger.Therefore, in construction and O&M stage, the detection in piping lane crack, for its quality control and maintenance side The selection of method, all it is vital.
The content of the invention
To improve the detection efficiency of piping lane distress in concrete, the present invention proposes a kind of detection side using graphical analysis as means Method.IMAQ is carried out to piping lane first, the processing such as is then filtered, sharpens, strengthen with computer, afterwards progress slit width meter Calculate, and with ultrasonic pulse method detect the penetration of fracture, finally collect crack information for the maintenance of fracture unit and piping lane provide according to According to.
To achieve the above object, the present invention provides a kind of detection method in underground pipe gallery crack, and piping lane is entered first Row IMAQ, the processing such as then it is filtered, sharpens, strengthening with computer, carries out slit width calculating afterwards, and use ultrasonic pulse Method detects the penetration of fracture, finally collects crack information, comprises the following steps:
Step 1, the piping lane there may be crack is taken photo by plane using unmanned plane, and the image collected is inputted and counted In calculation machine;
Step 2, utilize computer disposal crack pattern picture;
Step 3, to treated crack pattern picture, according to the Pixel Information of fracture width and piping lane width in figure, with reference to Known actual piping lane width, pro rata calculate actual fracture width;
The location of step 4, global coordinate is established, determined according to crack pattern picture per crack center, use at the scene Ultrasonic pulse method detects the penetration of fracture;
Step 5, the information such as the position in whole cracks, width, depth are collected, complete detection.
Preferably, for the image collected, the gray value of computer extraction image is utilized.
Preferably, wavelet transformation is carried out to image, to HFS threshold denoising, then carries out Wavelet image reconstruct.
Preferably, rim detection is carried out using Laplace operator fracture image.
Preferably, image enhaucament is carried out using histogram equalization method.
As can be seen from the above technical solutions, compared with prior art, present invention has the advantages that:
IMAQ is carried out to piping lane using unmanned plane, the flexibility ratio of Collecting operation is improved, saves manpower and materials, greatly The big efficiency for improving information gathering;Image analysis process can realize that program has good transplantability with computer programming, can nothing Limit time uses, and detection method automation, intellectuality, testing result is accurately and reliably.
Brief description of the drawings
Fig. 1 illustrates the implementing procedure figure of the present invention;
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with, to the present invention enter advance One step describes in detail.It should be appreciated that it is described herein specific only to explain the present invention, it is not intended to limit the present invention.
The application principle of the present invention is further described below in conjunction with the accompanying drawings and specifically:
As shown in figure 1, a kind of detection method in underground pipe gallery crack, implementation process include following steps.
First, piping lane IMAQ.The piping lane there may be crack is taken photo by plane with unmanned plane, the image that will be collected Input in computer.
Second, piping lane image is handled.Because detection crack information does not need coloured image, first to image zooming-out Gray value, it is stored as two-dimensional matrix;Then wavelet transformation is carried out to the matrix, threshold denoising is carried out to HFS, reduces figure As noise, then carry out Wavelet image reconstruct;Then rim detection is carried out to image with Laplace operator, due to crack both sides figure The brightness of picture has mutation, it is possible to detects edge of crack;Finally image enhaucament is carried out with histogram equalization method.
3rd, to by handling and the crack pattern picture of enhancing, according to fracture width and piping lane width (Pixel Information) in figure, With reference to known actual piping lane width, pro rata calculates actual fracture width.
The location of 4th, global coordinate is established, determined according to crack pattern picture per crack center, at the scene with super Ping method detects the penetration of fracture.
5th, according to information such as the position of every crack, width, depth, collect the crack full detail of piping lane, be piping lane Maintenance provides reference.
By the application of the inventive method, the Crack Detection of piping lane concrete structure can be efficiently realized, for crack Mending option and the maintenance of the piping lane in O&M stage play the role of positive, and the inventive method can improve informationization technology and build The application of engineering is built, is worth in industry promoting.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row His property includes, so that process, method, article or equipment including a series of elements not only include those key elements, and And also include the other element being not expressly set out, or also include for this process, method, article or equipment institute inherently Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including institute State in process, method, article or the equipment of key element and other identical element also be present.
Described above is only the embodiment of the present invention, is made skilled artisans appreciate that or realizing this hair It is bright.A variety of modifications to these will be apparent to one skilled in the art, as defined herein general former Reason can without departing from the spirit or scope of the present invention, in other middle realizations.Therefore, the present invention will not be limited In it is shown in this article these, and be to fit to the most wide scope consistent with principles disclosed herein and features of novelty.

Claims (5)

1. a kind of detection method in underground pipe gallery crack, IMAQ is carried out to piping lane first, then carried out with computer The processing such as filtering, sharpening, enhancing, slit width calculating is carried out afterwards, and detect the penetration of fracture with ultrasonic pulse method, finally collect crack Information, it is characterised in that comprise the following steps:
Step 1, the piping lane there may be crack is taken photo by plane using unmanned plane, and the image collected is inputted into computer In;
Step 2, utilize computer disposal crack pattern picture;
Step 3, to treated crack pattern picture, according to the Pixel Information of fracture width and piping lane width in figure, with reference to known Actual piping lane width, pro rata calculates actual fracture width;
The location of step 4, global coordinate is established, determined according to crack pattern picture per crack center, at the scene with ultrasound Impulse method detects the penetration of fracture;
Step 5, the information such as the position in whole cracks, width, depth are collected, complete detection.
2. the detection method in a kind of underground pipe gallery crack according to claim 1, it is characterised in that for collecting Image, utilize computer extraction image gray value.
3. the detection method in a kind of underground pipe gallery crack according to claim 2, it is characterised in that carried out to image Wavelet transformation, to HFS threshold denoising, then carry out Wavelet image reconstruct.
4. the detection method in a kind of underground pipe gallery crack according to claim 3, it is characterised in that utilize La Pula This operator fracture image carries out rim detection.
5. the detection method in a kind of underground pipe gallery crack according to claim 4, it is characterised in that utilize histogram Equalization method carries out image enhaucament.
CN201710899285.0A 2017-09-28 2017-09-28 A kind of detection method in underground pipe gallery crack Pending CN107747907A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710899285.0A CN107747907A (en) 2017-09-28 2017-09-28 A kind of detection method in underground pipe gallery crack

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710899285.0A CN107747907A (en) 2017-09-28 2017-09-28 A kind of detection method in underground pipe gallery crack

Publications (1)

Publication Number Publication Date
CN107747907A true CN107747907A (en) 2018-03-02

Family

ID=61255806

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710899285.0A Pending CN107747907A (en) 2017-09-28 2017-09-28 A kind of detection method in underground pipe gallery crack

Country Status (1)

Country Link
CN (1) CN107747907A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108896025A (en) * 2018-05-10 2018-11-27 四川省冶地工程勘察设计有限公司 A kind of urban underground space intelligence surveying and mapping technology
CN110015419A (en) * 2019-04-18 2019-07-16 广州供电局有限公司 Distribution network cable corridor inspection device
CN111472388A (en) * 2020-04-27 2020-07-31 广西路桥工程集团有限公司 Method for monitoring crack between joints of assembly type pipe gallery and predicting maximum crack width
CN113129468A (en) * 2021-04-06 2021-07-16 深圳市艾赛克科技有限公司 Underground pipe gallery inspection method based on unmanned aerial vehicle

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102346013A (en) * 2010-07-29 2012-02-08 同济大学 Tunnel lining crack width measuring method and device
CN104155995A (en) * 2014-08-11 2014-11-19 江苏恒创软件有限公司 Unmanned helicopter-based mining subsidence monitoring method
CN204346981U (en) * 2014-12-25 2015-05-20 刘凯 The unmanned Intelligent Measurement machine in crack
CN105735150A (en) * 2016-03-04 2016-07-06 浙江大学 Movable multi-view visual bridge conventional detection method
CN205426083U (en) * 2015-12-04 2016-08-03 江西飞尚科技有限公司 Ultrasonic wave crack depth detects unmanned aerial vehicle
CN106225702A (en) * 2016-08-03 2016-12-14 武汉科技大学 Fracture width detection apparatus and method
CN107504901A (en) * 2017-07-01 2017-12-22 浙江大学宁波理工学院 Utilize the method for unmanned plane monitoring concrete structural surface fracture width

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102346013A (en) * 2010-07-29 2012-02-08 同济大学 Tunnel lining crack width measuring method and device
CN104155995A (en) * 2014-08-11 2014-11-19 江苏恒创软件有限公司 Unmanned helicopter-based mining subsidence monitoring method
CN204346981U (en) * 2014-12-25 2015-05-20 刘凯 The unmanned Intelligent Measurement machine in crack
CN205426083U (en) * 2015-12-04 2016-08-03 江西飞尚科技有限公司 Ultrasonic wave crack depth detects unmanned aerial vehicle
CN105735150A (en) * 2016-03-04 2016-07-06 浙江大学 Movable multi-view visual bridge conventional detection method
CN106225702A (en) * 2016-08-03 2016-12-14 武汉科技大学 Fracture width detection apparatus and method
CN107504901A (en) * 2017-07-01 2017-12-22 浙江大学宁波理工学院 Utilize the method for unmanned plane monitoring concrete structural surface fracture width

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
周敏: "基于无人机图像的地面裂缝检测", 《电脑知识与技术》 *
路宏遥等: "无人机技术应用于结构表面伤损检测实验中的思考", 《计算机产品与流通》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108896025A (en) * 2018-05-10 2018-11-27 四川省冶地工程勘察设计有限公司 A kind of urban underground space intelligence surveying and mapping technology
CN110015419A (en) * 2019-04-18 2019-07-16 广州供电局有限公司 Distribution network cable corridor inspection device
CN111472388A (en) * 2020-04-27 2020-07-31 广西路桥工程集团有限公司 Method for monitoring crack between joints of assembly type pipe gallery and predicting maximum crack width
CN111472388B (en) * 2020-04-27 2021-10-01 广西路桥工程集团有限公司 Method for monitoring crack between joints of assembly type pipe gallery and predicting maximum crack width
CN113129468A (en) * 2021-04-06 2021-07-16 深圳市艾赛克科技有限公司 Underground pipe gallery inspection method based on unmanned aerial vehicle

Similar Documents

Publication Publication Date Title
CN107747907A (en) A kind of detection method in underground pipe gallery crack
CN111062361B (en) River and lake shoreline sand production monitoring and analyzing method and device
CN107154040A (en) A kind of tunnel-liner surface image crack detection method
CN106127777A (en) A kind of three dimensions crack separation identification and characterizing method
CN103745477A (en) Machine vision-based building structure crack detection and repair method
CN104268807A (en) Carbon emission calculation method based on entire life cycle of building
CN103955923A (en) Fast pavement disease detecting method based on image
CN101901477A (en) Method and system for extracting field image edges of plant leaves
CN105787486A (en) Method for detecting girder cracks based on image processing
CN110055414A (en) Seepage control in-situ mining method for ionic rare earth
CN207845303U (en) Lightweight nonaqueous phase liquid extracts processing system in a kind of underground water
CN103076338A (en) Rapid fuzzy matching method for testing bad conditions of high-speed rail catenary rod type insulators
CN101814138B (en) Method for identifying and classifying types of damage of sealants of cement concrete pavement based on images
CN100582650C (en) Gas leakage source searching method based on vision noticing mechanism
CN104268830A (en) Digital-image-based method for determining permeability coefficient of nonuniform geotechnical material
CN107436304A (en) A kind of surface of concrete structure detection means
CN106442230A (en) Fracturing propping agent roundness and sphericity detecting method based on image processing technology
CN115330720A (en) Unmanned aerial vehicle image earth surface solid waste detection model and detection method
CN204331743U (en) A kind of coal-rock detection system based on image frequency domain feature extraction and Classification and Identification
CN103473548A (en) Method for extracting fracture structure information by means of image processing and priori knowledge
CN105967374B (en) A kind of mine underground water tackling method
CN112435332A (en) CT three-dimensional reconstruction-based fracture coal body mesoscopic numerical modeling method
CN112348014A (en) Tunnel face surrounding rock grade rapid identification method based on machine vision
CN205773446U (en) Filling circular water treating system is taken out for polluting the multichannel connection gang of wells of water and soil reparation
Zhu et al. Design and implementation of a manipulator system for roadway crack sealing

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: 20180302