CN109341542A - Method and its monitoring device based on digital signal sequences length identification fracture width - Google Patents
Method and its monitoring device based on digital signal sequences length identification fracture width Download PDFInfo
- Publication number
- CN109341542A CN109341542A CN201811268168.5A CN201811268168A CN109341542A CN 109341542 A CN109341542 A CN 109341542A CN 201811268168 A CN201811268168 A CN 201811268168A CN 109341542 A CN109341542 A CN 109341542A
- Authority
- CN
- China
- Prior art keywords
- crack
- module
- fracture width
- identification
- digital signal
- 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
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30132—Masonry; Concrete
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The present invention discloses method and its monitoring device based on digital signal sequences length identification fracture width comprising tool housing and information acquisition module, control module, crack identification module and transmission module in tool housing；Tool housing is installed on the structural plan where crack to be monitored by a fixed device, and information acquisition module is separately connected control module and crack identification module, and control module is separately connected crack identification module and transmission module, and transmission module connects background server；Information acquisition module acquires crack image and exports the two-dimensional data matrix comprising crack target, and each coordinate points include a RGB three-dimensional array；The RGB three-dimensional array of coordinate points each in two-dimensional data matrix is converted into a numerical value by grey scale change by crack identification module, and crack identification is analyzed result passback by transmission module.Integrated recognizer proposed by the present invention is that transmission module only returns crack identification as a result, volume of transmitted data can be largely reduced to front end hardware, substantially mitigates the load of background server.
Description
Technical field
The present invention relates to structural cracks monitoring technical fields, more particularly to wide based on digital signal sequences length identification crack
The method and its monitoring device of degree.
Background technique
With the development of national economy and the raising of living standards of the people, traffic safety becomes more and more important, and monitors road
Traffic behaviour in service in road, which can take timely measure, effectively excludes traffic safety risk.The variation of girder construction fracture width is bridge
The important warning index of beam quality control, can therefrom predict the main body security performance of bridge, timely according to beam cracks width
The life security of early warning energy support personnel is issued, therefore, developing one kind can be realized collection crack information collection, width measurement, number
It is both the Internet of Things spring tide in responsive message epoch according to the Crack Monitoring instrument of passback, also complies with highway bridge detection, maintenance industry
Interior actual demand, effective measurement structure fracture width and monitoring beam cracks change width are the important technologies in the field.It is existing
Some Crack Monitoring systems often rely on artificial scene inspection, and there is such as time-consuming and laborious, investment human cost is big, long-term
It is obvious insufficient and inconvenient to monitor difficulty etc., and fracture width measurement process is complex.
Summary of the invention
It is an object of the invention to overcome existing Crack Monitoring system is often time-consuming and laborious, the human cost of investment is big,
Long term monitoring is difficult, and the image obtained according to shooting carries out the complex problem of fracture width measurement process, provides and is based on
The method and its monitoring device of digital signal sequences length identification fracture width.
The technical solution adopted by the present invention is that:
Method based on digital signal sequences length identification fracture width comprising following steps:
Transparent scale is entirely pasted the information of monitoring objective plane acquisition scale before Crack Monitoring by S1,
S2, the two-dimensional data matrix that the RGB that acquisition crack image obtains is indicated,
After successively carrying out grey scale change conversion and binary conversion treatment to two-dimensional data matrix, it is whole to obtain reflection two-dimensional matrix by S3
With the two-dimensional data matrix of the binaryzation of local feature；
S4 progressively scans the two-dimensional data matrix of binaryzation, obtains the sequence of crack target information and every a line crack signal
Section, distinguishes crack target information and background information from the digital signal comprising crack information；
S5 identifies the row where most wide seam, the crack information that calculating most wide seam row includes institute in two-dimensional data matrix
The sequence length accounted for, the sequence length as the fracture width；
S6 analyzes information acquisition module and corresponds to the signal sequence length collected of constant spacing on scale, as current multiplying power
The calibration relationship of lower equipment and monitoring objective interplanar；
S7 obtains fracture width sequence length according to calibration relationship combination discriminance analysis and obtains practical fracture width value；
S8, crack identification analyze result and are back to server by transmission module, when the practical fracture width value of beam body is more than setting
Secure threshold when, crack identification result include fracture width value and early warning notice.
Further, monitoring objective range size is set as L × W in the S1, and the resolution ratio of information acquisition module is p × q,
The practical corresponding digital signal sequences length p of object distance L is demarcated using two physical sizes, i.e. L/p indicates unit length sequence institute
Account for practical object distance, and the known parameters as the fracture width monitoring device.
Further, two-dimensional data matrix is expressed as I=M × N in the S2, and M is the line number of matrix, and N represents matrix
Columns, two-dimensional data matrix I(m, n)=(R, G, B) indicate that the signal value of each coordinate points obtains three-channel digital signal, wherein m table
Show the corresponding row of coordinate points, m=1 ..., M；N indicates coordinate point respective column, n=1 ..., N.
Further, S3 specifically includes the following steps:
RGB three-dimensional array on the right side of two-dimensional data matrix equation is converted into one-dimensional gray scale array by grey scale change by S3-1, ash
Degree variation conversion formula Gray=R*0.299+G*0.587+B*0.114；
S3-2, using the average of all values of the processed gray value two-dimensional matrix of step S3-1 as mean value threshold value, using equal
It is worth threshold value and binaryzation is carried out to the gray scale one-dimension array, then gray scale is set to 0 lower than mean value threshold value, then sets gray scale higher than mean value threshold value
It is 255, obtains the whole binaryzation matrix with local feature of reflection two-dimensional matrix.
Further, the calculation method of the practical fracture width value of the S7: the maximum value max(k(m of col width is taken)) and calibration
Relationship L/p is converted into actual size width=max(k(m)) * L/p, the crack of unit mm, as the Crack Monitoring target point is wide
Angle value.
The invention also discloses the monitoring devices based on digital signal sequences length identification fracture width comprising outside instrument
Shell and information acquisition module, control module, crack identification module and transmission module in tool housing；Tool housing is logical
The structural plan that a fixed device is installed on where crack to be monitored is crossed, information acquisition module is separately connected control module and crack
Identification module, control module are separately connected crack identification module and transmission module, and transmission module obtains network IP and connects backstage
Server；Information acquisition module acquires crack image and exports the two-dimensional data matrix comprising crack target, each coordinate
Point includes a RGB three-dimensional array；Crack identification module is by coordinate points each in the two-dimensional data matrix comprising crack target
RGB three-dimensional array is converted into a numerical value by grey scale change, and transmission module is by Internet of Things network interface card and background server with wireless
Mode is remotely connected, by crack identification analysis result passback.
Further, the tool housing selects durable protection waterproof material to form, and tool housing is for installing
In the carrying and protection of internal all functional hardware modules, tool housing is integrally in cuboid, and the size of tool housing is
78mm*78mm*47.8mm the bottom surface quadrangle band of tool housing is fixed to use screw hole microtia.
Further, the fixed device utilizes tool housing bottom surface microtia, and Crack Monitoring instrument is fixed to where crack
Structural plan, Crack Monitoring instrument front end need to be close to the location of cracks of structure.
Further, the control module, which is received, issues an instruction to control equipment timing working by background server.
Further, information acquisition module includes the camera lens, cmos sensor part and acquisition of sequentially connected focal length 2.8mm
Handle chip.
Further, the information acquisition module is additionally provided with auxiliary lighting system, and background server controls time power source
Secondary light source is opened and starts to acquire crack information when starting,
Further, the crack identification module is connected with early warning unit.
The invention adopts the above technical scheme, and crack is acquired under the auxiliary of LED illumination lamp using information acquisition module
Image information analyzes image information by embedded crack identification algorithm, identify position where the target of crack and
The corresponding width of most wide seam, and early warning is enabled in secure threshold of the fracture width value beyond setting, fracture width is known
Other result carries out network transmission by 4G data transmission module, is back to the background server being attached thereto, storage result, later period
The corresponding fracture propagation degree of different time sections can be formed tendency chart, realize fracture width and degrees of expansion on-line monitoring, split
The timely early warning of seam problem, facilitates security risk efficient process, is suitable for measuring and monitoring girder construction crack.
Detailed description of the invention
The present invention is described in further details below in conjunction with the drawings and specific embodiments；
Fig. 1 is the structural schematic diagram that the monitoring device of fracture width is identified the present invention is based on digital signal sequences length；
Fig. 2 is to use schematic diagram the present invention is based on the monitoring device of digital signal sequences length identification fracture width.
Specific embodiment
As shown in the figures 1 and 2, the invention discloses the method based on digital signal sequences length identification fracture width, packets
Include following steps:
Transparent scale is entirely pasted the information of monitoring objective plane acquisition scale, further, institute before Crack Monitoring by S1
It states monitoring objective range size in S1 and is set as L × W, the resolution ratio of information acquisition module 2 is p × q, utilizes two physical size marks
The fixed practical corresponding digital signal sequences length p of object distance L, i.e. L/p indicate practical object distance shared by unit length sequence, and as this
The known parameters of fracture width monitoring device.
S2, the two-dimensional data matrix that the RGB that acquisition crack image obtains is indicated, further, 2-D data in the S2
Matrix is expressed as I=M × N, and M is the line number of matrix, and N represents matrix column number, two-dimensional data matrix I(m, n)=(R, G, B) table
Show that the signal value of each coordinate points obtains three-channel digital signal, wherein the corresponding row of m indicates coordinate point, m=1 ..., M；N indicates to sit
Punctuate respective column, n=1 ..., N.
S3 after successively carrying out grey scale change conversion and binary conversion treatment to two-dimensional data matrix, obtains reflection two-dimensional matrix
The two-dimensional data matrix of whole and local feature binaryzation；Further, S3 specifically includes the following steps:
RGB three-dimensional array on the right side of two-dimensional data matrix equation is converted into one-dimensional gray scale array by grey scale change by S3-1, ash
Degree variation conversion formula Gray=R*0.299+G*0.587+B*0.114；
S3-2, using the average of all values of the processed gray value two-dimensional matrix of step S3-1 as mean value threshold value, using equal
It is worth threshold value and binaryzation is carried out to the gray scale one-dimension array, then gray scale is set to 0 lower than mean value threshold value, then sets gray scale higher than mean value threshold value
It is 255, obtains the whole binaryzation matrix with local feature of reflection two-dimensional matrix.
S4, progressively scans the two-dimensional data matrix of binaryzation, obtains crack target information and every a line crack signal
Tract distinguishes crack target information and background information from the digital signal comprising crack information；
S5 identifies the row where most wide seam, the crack information that calculating most wide seam row includes institute in two-dimensional data matrix
The sequence length accounted for, the sequence length as the fracture width；
S6 analyzes constant spacing signal sequence length collected on the corresponding scale of information acquisition module 2, as current multiplying power
The calibration relationship of lower equipment and monitoring objective interplanar；
S7 obtains fracture width sequence length according to calibration relationship combination discriminance analysis and obtains practical fracture width value；Further
The calculation method of the practical fracture width value of S7: ground takes the maximum value max(k(m of col width)) it is converted into calibration relationship L/p
Actual size width=max(k(m)) * L/p, unit mm, as the fracture width value of the Crack Monitoring target point.
S8, crack identification analysis result are back to server by transmission module 6, when the practical fracture width value of beam body is super
When crossing the secure threshold of setting, crack identification result includes fracture width value and early warning notice.
Specific algorithm principle of the invention are as follows: the output of crack information acquisition module 2 is two-dimensional data matrix I=M × N, uses I
(m, n) indicates the digital signal value of each coordinate points, wherein m=1 ..., M；N=1 ..., N, each point signal initial format are RGB three-dimensional
Array is converted into gray value with Gray=R*0.299+G*0.587+B*0.114, is converted into from three-dimensional array one-dimensional
Array, therefore each coordinate position only has one digit number value after conversion.Crack identification algorithm passes through progressive scan two-dimensional data matrix,
Digital signal comprising crack information is distinguished into crack information and background information, while being obtained in the every a line of matrix shared by crack
Col width k(m), and k(m)≤N, m=1 ..., M takes col width k(m) maximum value max(k(m)) with calibration relationship L/p be converted into reality
Border size width=max(k(m)) * L/p, unit mm, the as fracture width of the Crack Monitoring point.For same Crack Monitoring
Point, by comparing the collected fracture width of different time points, the fracture width for obtaining the Crack Monitoring point changes with time
Curve.Beam cracks width secure threshold is set in crack identification module, for being more than secure threshold when beam cracks width
When early warning, the background server that early warning returns together with fracture width value.
The transmission module 6 is communicated using ICP/IP protocol between Host Computer Software Platform, is sent data to
Server obtains fracture width and its versus time curve, while storing data for Data Analysis Services；It is another it is described after
Platform server is for controlling fixed frequency acquisition, issuing information collection instruction and storage monitoring result etc..
Further, as shown in Figure 1, the invention also discloses the prisons based on digital signal sequences length identification fracture width
Survey device comprising tool housing 3 and information acquisition module 2, control module 4, crack identification mould in tool housing 3
Block and transmission module 6；Tool housing 3 is installed on the structural plan where crack 1 to be monitored by a fixed device；Specifically,
The fixed device is fixed in the position for obtaining best 1 target of crack for fixing 1 monitor of crack, requires simultaneously
Distance can damping；Information acquisition module 2 is separately connected control module 4 and crack identification module 5, and control module 4, which is separately connected, to be split
Identification module 5 and transmission module 6 are stitched, transmission module 6 obtains network IP and connects background server；Information acquisition module 2 acquires
1 image of crack simultaneously exports the two-dimensional data matrix comprising 1 target of crack, and each coordinate points include a RGB three-dimensional array；
Crack identification module 5 becomes the RGB three-dimensional array of coordinate points each in the two-dimensional data matrix comprising 1 target of crack by gray scale
Change is converted into a numerical value, and transmission module 6 is wirelessly remotely connected by Internet of Things network interface card with background server, by crack 1
The passback of discriminance analysis result.
The front-end protection shell of the information acquisition module 2 is close to 1 position of crack, the optical center of information acquisition module 2
It is directed at crack 1,1 monitor of crack is fixed near structural cracks 1 using fixed device, designs and develops red acquisition button,
Button and 4 physical connection of remote control module are acquired, by background server control frequency acquisition, issues acquisition instructions, it can also hand
Dynamic acquisition；The information acquisition module refers to the camera lens of focal length 2.8mm, cmos sensor part and acquisition process chip, obtains mesh
Information is marked, target monitoring range is 6mm*8mm；The information acquisition module 2 senses mould group containing CMOS, pacifies in acquisition device front end
Waterproof protective case is filled, target is auxiliarily fixed at a distance from camera lens in protecting crust；The lithium battery that short-term connection can be used in the present invention carries out
Power supply can draw long line using solar panels progress uninterrupted power supply.
Specific installation method selects the crack 1 in highway bridge ground or girder construction, by crack 1 as shown in the figures 1 and 2
The front-end protection shell 202 of camera lens 201 is close to crack 1, front-end protection shell in the CMOS heat transfer agent acquisition module 22 of monitor
203 4 LED light of installation of a circle, are used for floor light, while making 201 center align structures crack 1 of camera lens, information collection in 202
Information acquisition module 22 also comprising CMOS sensing element 204 and processing chip 205, is utilized 3 bottom screw hole of shell by module 2
301 are fixed on nearby securely beam body 1, keep the target observed clear.Also know comprising control module 4, crack in 1 monitor of crack
Other module 5 and transmission module 6(contain GSM antenna 601).1 monitor of crack, which is connected by power supply line 7 with external power supply, to be supplied
Electricity.It after instrument adjustment is stablized, is kept fixed a little motionless, carries out information collection, the collected information of 1 recognizer of crack analysis obtains
Background server is back to by transmission module 6 after 1 width value of crack, for post analysis, trace the variation feelings in the crack 1
Condition.
Further, the tool housing 3 selects durable protection waterproof material to form, and tool housing 3 is for pacifying
Carrying and protection loaded on internal all functional hardware modules, whole tool housing 3 is in cuboid, the size of tool housing 3
For 78mm*78mm*47.8mm, the bottom surface quadrangle band of tool housing 3 is fixed to use screw hole microtia.
Further, the fixed device utilizes 3 bottom surface microtia of tool housing, and 1 monitor of crack is fixed to 1 institute of crack
Structural plan, 1 monitor front end of crack need to be close to 1 position of crack of structure.
Further, the control module 4, which is received, issues an instruction to control equipment timing working by background server.
Further, the information acquisition module 2 is additionally provided with auxiliary lighting system, and background server controls time power source
Secondary light source is opened and starts to acquire 1 information of crack when starting, specifically, the LED light of 4 1mm bores is installed to acquisition dress
It sets in front-end protection shell, it is shinny to provide power supply polishing by power supply module.
Further, the crack identification module 5 is connected with early warning unit.
The invention adopts the above technical scheme, and crack is acquired under the auxiliary of LED illumination lamp using information acquisition module
Image information analyzes image information by embedded crack identification algorithm, identify position where the target of crack and
The corresponding width of most wide seam, and early warning is enabled in secure threshold of the fracture width value beyond setting, fracture width is known
Other result carries out network transmission by 4G data transmission module, is back to the background server being attached thereto, storage result, later period
The corresponding fracture propagation degree of different time sections can be formed tendency chart, realize fracture width and degrees of expansion on-line monitoring, split
The timely early warning of seam problem, facilitates security risk efficient process, is suitable for measuring and monitoring girder construction crack.
Claims (10)
1. based on digital signal sequences length identification fracture width method, it is characterised in that: itself the following steps are included:
Transparent scale is entirely pasted the information of monitoring objective plane acquisition scale before Crack Monitoring by S1,
S2, the two-dimensional data matrix that the RGB that acquisition crack image obtains is indicated,
After successively carrying out grey scale change conversion and binary conversion treatment to two-dimensional data matrix, it is whole to obtain reflection two-dimensional matrix by S3
With the two-dimensional data matrix of the binaryzation of local feature；
S4 progressively scans the two-dimensional data matrix of binaryzation, obtains the sequence of crack target information and every a line crack signal
Section, distinguishes crack target information and background information from the digital signal comprising crack information；
S5 identifies the row where most wide seam, the crack information that calculating most wide seam row includes institute in two-dimensional data matrix
The sequence length accounted for, the sequence length as the fracture width；
S6 analyzes information acquisition module and corresponds to the signal sequence length collected of constant spacing on scale, as current multiplying power
The calibration relationship of lower equipment and monitoring objective interplanar；
S7 obtains fracture width sequence length according to calibration relationship combination discriminance analysis and obtains practical fracture width value；
S8, crack identification analyze result and are back to server by transmission module, when the practical fracture width value of beam body is more than setting
Secure threshold when, crack identification result include fracture width value and early warning notice.
2. the method according to claim 1 based on digital signal sequences length identification fracture width, it is characterised in that: institute
It states monitoring objective range size in S1 and is set as L × W, the resolution ratio of information acquisition module is p × q, utilizes two physical size marks
The fixed practical corresponding digital signal sequences length p of object distance L, i.e. L/p indicate practical object distance shared by unit length sequence, and as this
The known parameters of fracture width monitoring device.
3. the method according to claim 2 based on digital signal sequences length identification fracture width, it is characterised in that: institute
It states two-dimensional data matrix in S2 and is expressed as I=M × N, M is the line number of matrix, and N represents matrix column number, two-dimensional data matrix I
(m, n)=(R, G, B) indicates that the signal value of each coordinate points obtains three-channel digital signal, wherein the corresponding row of m indicates coordinate point, m
=1,…,M；N indicates coordinate point respective column, n=1 ..., N.
4. the method according to claim 3 based on digital signal sequences length identification fracture width, it is characterised in that:
S3 specifically includes the following steps:
RGB three-dimensional array on the right side of two-dimensional data matrix equation is converted into one-dimensional gray scale array by grey scale change by S3-1, ash
Degree variation conversion formula Gray=R*0.299+G*0.587+B*0.114；
S3-2, using the average of all values of the processed gray value two-dimensional matrix of step S3-1 as mean value threshold value, using equal
It is worth threshold value and binaryzation is carried out to the gray scale one-dimension array, then gray scale is set to 0 lower than mean value threshold value, and then gray scale is set higher than mean value threshold value
It is 255, obtains the whole binaryzation matrix with local feature of reflection two-dimensional matrix.
5. the method according to claim 1 based on digital signal sequences length identification fracture width, it is characterised in that: institute
State the calculation method of the practical fracture width value of S7: taking the maximum value max(k(m of col width)) with calibration relationship L/p be converted into practical ruler
Very little width=max(k(m)) * L/p, unit mm, as the fracture width value of the Crack Monitoring target point.
6. being applied described in one of claim 1-5 based on the monitoring device of digital signal sequences length identification fracture width
Based on digital signal sequences length identification fracture width method, it is characterised in that: monitoring device include tool housing and
Information acquisition module, control module, crack identification module and transmission module in tool housing；Tool housing is solid by one
Determine the structural plan that device is installed on where crack to be monitored, information acquisition module is separately connected control module and crack identification mould
Block, control module are separately connected crack identification module and transmission module, and transmission module obtains network IP and connects background server；
Information acquisition module acquires crack image and exports the two-dimensional data matrix comprising crack target, and each coordinate points include one
A RGB three-dimensional array；Crack identification module is by tri- dimension of RGB of coordinate points each in the two-dimensional data matrix comprising crack target
Group is converted into a numerical value by grey scale change, and transmission module passes through Internet of Things network interface card and background server wirelessly long-range phase
Even, by crack identification analysis result passback.
7. the monitoring device according to claim 1 based on digital signal sequences length identification fracture width, feature exist
In: the tool housing selects durable protection waterproof material to form, and tool housing is used to own to being installed on inside
The carrying and protection of functional hardware module, tool housing are integrally in cuboid, and the size of tool housing is 78mm*78mm*
Screw hole microtia is used with fixed in the bottom surface quadrangle of 47.8mm, tool housing.
8. the monitoring device according to claim 7 based on digital signal sequences length identification fracture width, feature exist
In: the fixed device utilizes tool housing bottom surface microtia, and Crack Monitoring instrument is fixed to the structural plan where crack, crack
Monitor front end need to be close to the location of cracks of structure.
9. the monitoring device according to claim 1 based on digital signal sequences length identification fracture width, feature exist
In: the information acquisition module is additionally provided with auxiliary lighting system, secondary light source when background server controls time power source starting
It opens and starts to acquire crack information.
10. the monitoring device according to claim 1 based on digital signal sequences length identification fracture width, feature exist
In: the crack identification module is connected with early warning unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811268168.5A CN109341542A (en) | 2018-10-29 | 2018-10-29 | Method and its monitoring device based on digital signal sequences length identification fracture width |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811268168.5A CN109341542A (en) | 2018-10-29 | 2018-10-29 | Method and its monitoring device based on digital signal sequences length identification fracture width |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109341542A true CN109341542A (en) | 2019-02-15 |
Family
ID=65312483
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811268168.5A Pending CN109341542A (en) | 2018-10-29 | 2018-10-29 | Method and its monitoring device based on digital signal sequences length identification fracture width |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109341542A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109946296A (en) * | 2019-03-01 | 2019-06-28 | 威海华菱光电股份有限公司 | Crack change monitoring device and crack variation monitoring method |
| CN110118531A (en) * | 2019-04-25 | 2019-08-13 | 华南理工大学 | Tower crane steel gusset plate Crack Monitoring method based on unmanned plane image recognition |
| CN112525160A (en) * | 2020-12-09 | 2021-03-19 | 南京宥安传感科技有限公司 | Crack change monitoring system based on machine vision |
| CN115655122A (en) * | 2022-12-01 | 2023-01-31 | 浙江同禾传感技术有限公司 | Crack image monitoring device |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE2418556A1 (en) * | 1974-04-17 | 1975-10-30 | Hoffmann La Roche | Optical shape detector - designed for detecting impurities, colour changes, cracks, etc in object |
| JPH03295406A (en) * | 1990-04-12 | 1991-12-26 | Fujitsu Ltd | Measuring method for crack |
| CN101033944A (en) * | 2007-04-20 | 2007-09-12 | 北京工业大学 | Measurement instrument and method suitable for remotely monitoring crack width of concrete |
| CN101706259A (en) * | 2009-11-25 | 2010-05-12 | 天津大学 | Concrete crack width test method based on wavefront coding technology and hand-held tester |
| CN102297660A (en) * | 2011-05-20 | 2011-12-28 | 同济大学 | Measuring method of shield tunnel lining segment seam open width and apparatus thereof |
| CN102346013A (en) * | 2010-07-29 | 2012-02-08 | 同济大学 | Tunnel lining crack width measuring method and device |
| CN107044838A (en) * | 2017-01-09 | 2017-08-15 | 上海筑邦测控科技有限公司 | A kind of fabric structure fracture width examines scale and Crack Monitoring method |
| CN107063095A (en) * | 2016-12-23 | 2017-08-18 | 张晓明 | A kind of warning system for real time monitoring of existing building building structure fracture width change and recognition methods |
| 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 |
-
2018
- 2018-10-29 CN CN201811268168.5A patent/CN109341542A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE2418556A1 (en) * | 1974-04-17 | 1975-10-30 | Hoffmann La Roche | Optical shape detector - designed for detecting impurities, colour changes, cracks, etc in object |
| JPH03295406A (en) * | 1990-04-12 | 1991-12-26 | Fujitsu Ltd | Measuring method for crack |
| CN101033944A (en) * | 2007-04-20 | 2007-09-12 | 北京工业大学 | Measurement instrument and method suitable for remotely monitoring crack width of concrete |
| CN101706259A (en) * | 2009-11-25 | 2010-05-12 | 天津大学 | Concrete crack width test method based on wavefront coding technology and hand-held tester |
| CN102346013A (en) * | 2010-07-29 | 2012-02-08 | 同济大学 | Tunnel lining crack width measuring method and device |
| CN102297660A (en) * | 2011-05-20 | 2011-12-28 | 同济大学 | Measuring method of shield tunnel lining segment seam open width and apparatus thereof |
| CN107063095A (en) * | 2016-12-23 | 2017-08-18 | 张晓明 | A kind of warning system for real time monitoring of existing building building structure fracture width change and recognition methods |
| CN107044838A (en) * | 2017-01-09 | 2017-08-15 | 上海筑邦测控科技有限公司 | A kind of fabric structure fracture width examines scale and Crack Monitoring 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 (1)
| Title |
|---|
| 王林林: "基于数字图像处理技术的混凝土裂缝特征检测与计算分析", 《中国优秀硕士论文全文数据信息科技辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109946296A (en) * | 2019-03-01 | 2019-06-28 | 威海华菱光电股份有限公司 | Crack change monitoring device and crack variation monitoring method |
| CN110118531A (en) * | 2019-04-25 | 2019-08-13 | 华南理工大学 | Tower crane steel gusset plate Crack Monitoring method based on unmanned plane image recognition |
| CN112525160A (en) * | 2020-12-09 | 2021-03-19 | 南京宥安传感科技有限公司 | Crack change monitoring system based on machine vision |
| CN115655122A (en) * | 2022-12-01 | 2023-01-31 | 浙江同禾传感技术有限公司 | Crack image monitoring device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109341542A (en) | Method and its monitoring device based on digital signal sequences length identification fracture width | |
| CN105784710B (en) | A kind of glue into concrete beam cracks detection device based on Digital Image Processing | |
| WO2018122819A1 (en) | Binocular image analysis-based asphalt road surface damage detection system | |
| CN102519383A (en) | Bridge dynamic deflection facula imaging measuring device and method | |
| CN106037750A (en) | Power line inspection system based on wearable intelligent equipment | |
| CN114113118B (en) | Rapid detection device and detection method for subway tunnel lining crack leakage water disease | |
| CN105516584A (en) | Panorama image acquisition system, and apparatus and method for measuring skyline based on the same | |
| CN107300398A (en) | A kind of communicated based on WIFI supports the electric inspection process device of positioning and data transfer simultaneously | |
| CN109631771A (en) | Crack dynamic change sensor and crack measurement method based on the processing of more target images | |
| CN206649006U (en) | A kind of monitoring device for air pollution | |
| WO2021043308A1 (en) | Image identification and analysis-based system and method for predicting quartz content of surrounding rock in tunnel | |
| CN110321860A (en) | A kind of intelligence auxiliary system visually impaired based on distributed multi-source heterogeneous sensing technology | |
| CN110435689B (en) | Detection method of intelligent obstacle detection vehicle based on modular control | |
| CN103335676A (en) | Novel cable detection information acquisition system based on mixed ranging of infrared sound waves | |
| CN109115434A (en) | A kind of tunnel health monitoring systems and method | |
| CN110906904A (en) | Bridge pier settlement monitoring system and monitoring method thereof | |
| CN203482305U (en) | Infrared imaging temperature measuring system | |
| CN212779202U (en) | Building settlement monitoring device and monitoring system | |
| CN104714068B (en) | Robot to outdoor electric energy meter meter reading | |
| CN112013813A (en) | Building settlement monitoring method, monitoring device and monitoring system | |
| CN109059793B (en) | Wireless laser matrix monitoring system and method for observing deformation of earth surface area | |
| CN116343528A (en) | Bridge ship collision alarm sensing equipment and safety monitoring application platform comprising same | |
| CN207081442U (en) | A kind of Building decorating and repairs engineering inspection of quality device systems | |
| CN209485275U (en) | A kind of crack dynamic change sensor based on digital image processing techniques | |
| CN112161603A (en) | Building settlement monitoring method, monitoring device and monitoring system |
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: 20190215 |