CN108829981A - Component detecting analytic system and method in engineering-built based on nondestructive inspection - Google Patents
Component detecting analytic system and method in engineering-built based on nondestructive inspection Download PDFInfo
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- CN108829981A CN108829981A CN201810642904.2A CN201810642904A CN108829981A CN 108829981 A CN108829981 A CN 108829981A CN 201810642904 A CN201810642904 A CN 201810642904A CN 108829981 A CN108829981 A CN 108829981A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Abstract
The invention belongs to engineering sounding technical field, the component detecting analytic system and method in a kind of engineering-built based on nondestructive inspection are disclosed, the component detecting analytic system in the engineering-built based on nondestructive inspection includes：Image capture module, pressure detecting module, central processing module, three-dimensional modeling module, fracture detection module, 3D printing module, analysis module, display module.The present invention can establish the threedimensional model of component by three-dimensional modeling module, and can print model immediately by 3D printing module and be exported and shown, strong sense of reality；Simultaneously by fracture detection module using detection radar respectively under θ polarization mode andWith different incident angle sweep building body target areas to be detected under polarization mode, series of scans data are obtained；To obtain more accurate crack data information.
Description
Technical field
The invention belongs to the components in engineering sounding technical field more particularly to a kind of engineering-built based on nondestructive inspection
Detecting analytic system and method.
Background technique
Architectural engineering, refer to by construction to all kinds of building constructions and its affiliated facility and route matched with its, pipeline,
The installation activity of equipment is formed by engineering entity.Wherein " building construction ", which refers to, top cover, beam column, wall, basis and can
Inner space is formed, meets people's production, lives, learns, the engineering that public activity needs.Architectural engineering is for newly-built, reconstruction
Or the every technical staff of planning, prospecting, design and construction, completion etc. that enlarging building construction and auxiliary construction facility are carried out
The installing engineering of work and the engineering entity completed and matched with its route, pipeline, equipment.Also refer to various houses, building
Construction engineering, also known as building operation amount.The dynamic material of the necessary emerging work of this part investment, is just able to achieve by construction activities.However,
The foundation of the existing model to the component in engineering-built lacks timeliness, and not to model in modeling process
It is exported and is shown, in this way the shortage sense of reality；Simultaneously can not accurately detection component crack data information.
In conclusion problem of the existing technology is：
(1) foundation of the existing model to the component in engineering-built lacks timeliness, and works as in modeling process
In model is not exported and is shown, in this way shortage the sense of reality；Simultaneously can not accurately detection component fracture number it is believed that
Breath.
(2) the high processing in existing nondestructive inspection way falls into local optimum using FCM image segmentation algorithm, algorithm speed and point
It is poor to cut effect.
Summary of the invention
In view of the problems of the existing technology, the present invention provides the components in a kind of engineering-built based on nondestructive inspection
Detecting analytic system.
The invention is realized in this way a kind of component detection analysis method in engineering-built based on nondestructive inspection, institute
The component detection analysis method stated in the engineering-built based on nondestructive inspection includes：
(1) probabilistic method is chosen using new cluster centre and passes through the component image in image capture module shooting engineering-built
Data；The weighing pressure data information of the component in engineering-built is detected by pressure detecting module；Central processing module scheduling
Three-dimensional modeling module is used to construct three-dimensional module to the component in engineering-built；
The new cluster centre chooses probabilistic method：The letter for respectively following bee to provide according to fitness size from gathering honey bee
A nectar source is chosen in breath, and equally according to probability P in its neighborhoodiNew location finding is carried out, select probability is：
S in formulaNIndicate food source number；
New cluster centre search strategy gathering honey bee is in food source position XiNearby carry out new food source search, New food source
Position is Vi=Xi+ψi(Xi-Xk) in formula, k ∈ { 1,2 ..., SN, and k ≠ i is generated at random, ψiIt is random between [- 1,1]
Number, state modulator step-size in search；
Optimal cluster centers search for acceleration strategy after the location finding times N of some gathering honey bee reaches scheduled threshold value L,
If food source nectar amount cannot be improved, this food source is just abandoned：
X in formulaminIndicate the minimum value of food source value range；XmaxIndicate the maximum value of food source value range；R is indicated
Random number between [0,1]；Xi(n) indicate that n-th of feasible solution bee colony search acceleration strategy prevents population from falling into local optimum；It solves
Each sample is split, then pass through form the degree of membership of Optimal cluster centers according to maximum membership grade principle to image
Handle to obtain target image；
(2) it is detected by crack of the fracture detection module to the component in engineering-built；Passed through using mathematical model
Three dimensional model printing material object component model of the 3D printing module to building；
The mathematical model：The weighting method vector set N of known modelsn={ N1, N2..., Nn, unit vector d is sought, so that Nn
Middle institute's directed quantity is to the sum of the projected length of d minimum；Weighting method amount is illustrated in the projection of fabrication orientation, normal vector NiTo direction d
Projected length be ξi；Remember d=(a, b, c) T, Ni=(xi, yi, zi), NnThe sum of projected length to d is L, then has:
Volume deviation V is minimum when L is minimized；
Linear regression model (LRM) yi=xiβ+εi, i=1 ..., n；
In formula：(xi, yi) it is i-th of observation data；β is regression coefficient vector；ξiFor the error not observed.For institute
There are observation data, so that：
Overall error of fitting is minimum
(3) safety analysis is carried out to engineering-built to the pressure data of detection, crack data by analysis module；By aobvious
Show the image, detection pressure data and analysis result of module display acquisition.
Further, the three-dimensional modeling module modeling method is as follows：
Firstly, obtaining the orientation of the determination key construction component between building member image；
Secondly, what is successively carried out after obtaining building member image carries out respective handling to high partial image；
Then, interpretation needs to model region；
Then, correlation models are established to the different images of multiple identical buildings；
Finally, printing the building member 3D model determined by 3D printing module.
Further, the orientation of the determining key construction component includes the building letter obtained around key construction component
The architecture information of breath and key construction component itself, the key construction component self information includes the geographical coordinate of itself
Information, occupied area, height and number of floor levels, the architecture information around the key construction component include 8 necks of surrounding buildings
Occupied area, height and the number of floor levels of domain building.
Further, the acquisition building member image includes obtaining corresponding No. two images of high score, building member figure
Paper and Aerial Images；
It includes carrying out operation interpretation using ARCGIS software, carrying out under operation and right that the interpretation, which needs the region that models,
The statistics for the region area that the interpretation needs to model.
Further, the fracture detection module detection method is as follows：
Firstly, using detection radar respectively under θ polarization mode andIt is built under polarization mode with different incident angle sweeps
Body target area to be detected, obtains series of scans data；
Secondly, choosing Morlet wavelet basis as matching template, template matching is carried out to obtained series of scans data, is obtained
To it is relevant to fracture shape early when response echo；
Then, calculate θ polarization mode under withThe similarity factor of response echo is poor when the morning of crack and background under polarization mode
It is different, corresponding fracture strike is determined according to incident angular direction corresponding to maximum similarity factor difference；
Then, the θ polarization incidence wave fracture detection of fracture strike is not orthogonal to using incident direction, in detection echo
Electromagnetic wave is obtained via the time of crack two-end-point using peak extraction algorithm, obtains fracture length information；Using incident direction
Perpendicular to fracture strikePolarize the detection of incidence wave fracture, is mentioned in detection echo using wavelet modulus maxima method
Take fracture width information；
Finally, using incident direction perpendicular to groundPolarize the detection of incidence wave fracture, using small in detection echo
Wave conversion modulus maximum method finds crack nearest vertex from the ground, obtains penetration of fracture information.
Further, the incident angular direction according to corresponding to maximum similarity factor difference determines corresponding fracture strike
Algorithm, it then follows following mathematical expression：
Wherein：θtIt is the pitch angle in crack in rectangular coordinate system；It is the azimuth in crack in rectangular coordinate system；θiBe into
The incidence angle of ejected wave；It is the azimuth of incidence wave.
Another object of the present invention is to provide the component spies in the engineering-built described in a kind of realize based on nondestructive inspection
Survey the component detecting analytic system in the engineering-built based on nondestructive inspection of analysis method, the engineering based on nondestructive inspection
Component detecting analytic system in construction includes：
Image capture module, pressure detecting module, central processing module, three-dimensional modeling module, fracture detection module, 3D are beaten
Impression block, analysis module, display module；
Image capture module is connect with central processing module, for shooting the component diagram in engineering-built by camera
As data；
Pressure detecting module, connect with central processing module, for detecting the structure in engineering-built by pressure sensor
The weighing pressure data information of part；
Central processing module, with image capture module, pressure detecting module, three-dimensional modeling module, fracture detection module, 3D
Print module, analysis module, display module connection, work normally for controlling modules；
Three-dimensional modeling module, connect with central processing module, for constructing three-dimensional module to the component in engineering-built；
Fracture detection module, connect with central processing module, detects for the crack to the component in engineering-built；
3D printing module, connect with central processing module, for the three dimensional model printing material object component model to building；
Analysis module is connect with central processing module, for detection pressure data, crack data to engineering-built into
Row safety analysis；
Display module is connect with central processing module, for showing the image, detection pressure data and analysis knot of acquisition
Fruit.
Advantages of the present invention and good effect are：The present invention can establish the three-dimensional mould of component by three-dimensional modeling module
Type, and model can be printed by 3D printing module immediately and exported and shown, strong sense of reality；Pass through fracture detection simultaneously
Module using detection radar respectively under θ polarization mode andIt is to be detected with different incident angle sweep building bodies under polarization mode
Target area obtains series of scans data；To obtain more accurate crack data information.The present invention is using in artificial bee colony
It follows bee to be followed by probability selection gathering honey bee, accelerates the iteration speed of algorithm, while helping algorithm using search bee again
Local optimum is jumped out, effectively iteration goes out globally optimal solution.The gray level system of original image H-I color space is calculated first
It counts, the fitness function in artificial bee colony is improved based on objective function in FCM algorithm, with adopting in bee colony behavior
Honeybee follows the sharing out the work and help one another to solve the Optimal cluster centers in image of bee and search bee, then to find out Optimal cluster centers defeated
Enter FCM algorithm and carries out cluster segmentation.By the comparative analysis of split-plot experiment, show that the present invention can quickly and be accurately partitioned into
Target image, single image are averaged sliced time as 0.2193s, and correct segmentation rate reaches 90.33%.
The present invention points out that model dough sheet area to the great influence of volume deviation, introduces the concept of Area-weighted normal vector,
Propose a kind of new volume deviation computation model；It is minimum absolute that layered optimization direction is determined that problem is converted into based on this model
Deviation linear regression problem, and criterion of least squares approximation least absolute deviation criterion is used, it is fast by principal component analytical method
Speed solves fabrication orientation.
Detailed description of the invention
Fig. 1 is the component detecting analytic system structure in the engineering-built provided in an embodiment of the present invention based on nondestructive inspection
Schematic diagram；
In figure：1, image capture module；2, pressure detecting module；3, central processing module；4, three-dimensional modeling module；5, it splits
Stitch detecting module；6,3D printing module；7, analysis module；8, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the component detection analysis system in the engineering-built provided in an embodiment of the present invention based on nondestructive inspection
System includes：Image capture module 1, pressure detecting module 2, central processing module 3, three-dimensional modeling module 4, fracture detection module 5,
3D printing module 6, analysis module 7, display module 8.
Image capture module 1 is connect with central processing module 3, for shooting the component in engineering-built by camera
Image data；
Pressure detecting module 2 is connect with central processing module 3, for being detected in engineering-built by pressure sensor
The weighing pressure data information of component；
Central processing module 3, with image capture module 1, pressure detecting module 2, three-dimensional modeling module 4, fracture detection mould
Block 5,3D printing module 6, analysis module 7, display module 8 connect, and work normally for controlling modules；
Three-dimensional modeling module 4 is connect with central processing module 3, for constructing three-dimensional module to the component in engineering-built；
Fracture detection module 5 is connect with central processing module 3, is visited for the crack to the component in engineering-built
It surveys；
3D printing module 6 is connect with central processing module 3, for the three dimensional model printing material object component model to building；
Analysis module 7 is connect with central processing module 3, for detection pressure data, crack data are to engineering-built
Carry out safety analysis；
Display module 8 is connect with central processing module 3, for showing the image, detection pressure data and analysis knot of acquisition
Fruit.
4 modeling method of three-dimensional modeling module provided by the invention is as follows：
Firstly, obtaining the orientation of the determination key construction component between building member image；
Secondly, what is successively carried out after obtaining building member image carries out respective handling to high partial image；
Then, interpretation needs to model region；
Then, correlation models are established to the different images of multiple identical buildings；
Finally, printing the building member 3D model determined by 3D printing module.
The orientation of determining key construction component provided by the invention includes the building obtained around key construction component
The architecture information of information and key construction component itself, the key construction component self information include that the geographical of itself sits
Information, occupied area, height and number of floor levels are marked, the architecture information around the key construction component includes the 8 of surrounding buildings
Occupied area, height and the number of floor levels of field building.
Acquisition building member image provided by the invention includes obtaining corresponding No. two images of high score, building member figure
Paper and Aerial Images.
It includes carrying out operation interpretation using ARCGIS software, carrying out inverting that interpretation provided by the invention, which needs the region modeled,
The statistics of operation and the region area that the interpretation is needed to model.
5 detection method of fracture detection module provided by the invention is as follows：
Firstly, using detection radar respectively under θ polarization mode andIt is built under polarization mode with different incident angle sweeps
Body target area to be detected, obtains series of scans data；
Secondly, choosing Morlet wavelet basis as matching template, template matching is carried out to obtained series of scans data, from
And obtain response echo when morning relevant to fracture shape；
Then, calculate θ polarization mode under withThe similarity factor of response echo is poor when the morning of crack and background under polarization mode
It is different, corresponding fracture strike is determined according to incident angular direction corresponding to maximum similarity factor difference；
Then, the θ polarization incidence wave fracture detection of fracture strike is not orthogonal to using incident direction, in detection echo
Electromagnetic wave is obtained via the time of crack two-end-point using peak extraction algorithm, to obtain fracture length information；Using incidence
Direction is perpendicular to fracture strikePolarize the detection of incidence wave fracture, utilizes wavelet modulus maxima side in detection echo
Method extracts fracture width information；
Finally, using incident direction perpendicular to groundPolarize the detection of incidence wave fracture, using small in detection echo
Wave conversion modulus maximum method finds crack nearest vertex from the ground, to obtain penetration of fracture information.
Detection radar provided by the invention is Gaussian-pulsed planewave radar.
The incident angular direction provided by the invention according to corresponding to maximum similarity factor difference determines corresponding fracture strike
Algorithm, it then follows following mathematical expression：
Wherein：θtIt is the pitch angle in crack in rectangular coordinate system；It is the azimuth in crack in rectangular coordinate system；θiBe into
The incidence angle of ejected wave；It is the azimuth of incidence wave.
When the present invention detects, the component image data in engineering-built is shot by image capture module 1；It is examined by pressure
Survey the weighing pressure data information for the component that module 2 detects in engineering-built；Central processing module 3 dispatches three-dimensional modeling module 4,
It is connect with central processing module 3, for constructing three-dimensional module to the component in engineering-built；By fracture detection module 5 to work
The crack of component in journey construction is detected；The three dimensional model printing material object component model constructed by 6 Duis of 3D printing module；
Safety analysis is carried out to engineering-built by 7 pairs of the analysis module pressure datas detected, crack data；It is aobvious by display module 8
Show the image, detection pressure data and analysis result of acquisition.
Application principle of the invention is further described combined with specific embodiments below.
Component detection analysis method in engineering-built provided in an embodiment of the present invention based on nondestructive inspection includes：
(1) probabilistic method is chosen using new cluster centre and passes through the component image in image capture module shooting engineering-built
Data；The weighing pressure data information of the component in engineering-built is detected by pressure detecting module；Central processing module scheduling
Three-dimensional modeling module is used to construct three-dimensional module to the component in engineering-built；
The new cluster centre chooses probabilistic method：The letter for respectively following bee to provide according to fitness size from gathering honey bee
A nectar source is chosen in breath, and equally according to probability P in its neighborhoodiNew location finding is carried out, select probability is：
S in formulaNIndicate food source number；
New cluster centre search strategy gathering honey bee is in food source position XiNearby carry out new food source search, New food source
Position is Vi=Xi+ψi(Xi-Xk) in formula, k ∈ { 1,2 ..., SN, and k ≠ i is generated at random, ψiIt is random between [- 1,1]
Number, state modulator step-size in search；
Optimal cluster centers search for acceleration strategy after the location finding times N of some gathering honey bee reaches scheduled threshold value L,
If food source nectar amount cannot be improved, this food source is just abandoned：
X in formulaminIndicate the minimum value of food source value range；XmaxIndicate the maximum value of food source value range；R is indicated
Random number between [0,1]；Xi(n) indicate that n-th of feasible solution bee colony search acceleration strategy prevents population from falling into local optimum；It solves
Each sample is split, then pass through form the degree of membership of Optimal cluster centers according to maximum membership grade principle to image
Handle to obtain target image；
(2) it is detected by crack of the fracture detection module to the component in engineering-built；Passed through using mathematical model
Three dimensional model printing material object component model of the 3D printing module to building；
The mathematical model：The weighting method vector set N of known modelsn={ N1, N2..., Nn, unit vector d is sought, so that Nn
Middle institute's directed quantity is to the sum of the projected length of d minimum；Weighting method amount is illustrated in the projection of fabrication orientation, normal vector NiTo direction d
Projected length be ξi；Remember d=(a, b, c) T, Ni=(xi, yi, zi), NnThe sum of projected length to d is L, then has:
Volume deviation V is minimum when L is minimized；
Linear regression model (LRM) yi=xiβ+εi, i=l ..., n；
In formula：(xi, yi) it is i-th of observation data；β is regression coefficient vector；ξiFor the error not observed.For institute
There are observation data, so that：
Overall error of fitting is minimum
(3) safety analysis is carried out to engineering-built to the pressure data of detection, crack data by analysis module；By aobvious
Show the image, detection pressure data and analysis result of module display acquisition.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (7)
1. a kind of component detection analysis method in engineering-built based on nondestructive inspection, which is characterized in that described based on lossless
Component detection analysis method in the engineering-built of flaw detection includes：
(1) probabilistic method is chosen using new cluster centre and passes through the component picture number in image capture module shooting engineering-built
According to；The weighing pressure data information of the component in engineering-built is detected by pressure detecting module；Central processing module scheduling three
Modeling module is tieed up to be used to construct three-dimensional module to the component in engineering-built；
The new cluster centre chooses probabilistic method：Respectively follow bee according to fitness size from the information that gathering honey bee provides
A nectar source is chosen, and equally according to probability P in its neighborhoodiNew location finding is carried out, select probability is：
S in formulaNIndicate food source number；
New cluster centre search strategy gathering honey bee is in food source position XiNearby carry out new food source search, New food source position
For Vi=Xi+ψi(Xi-Xk) in formula, k ∈ { 1,2 ..., SN, and k ≠ i is generated at random, ψiFor the random number between [- 1,1], ginseng
Number control step-size in search；
Optimal cluster centers search for acceleration strategy after the location finding times N of some gathering honey bee reaches scheduled threshold value L, if
Food source nectar amount cannot be improved, this food source is just abandoned：
X in formulaminIndicate the minimum value of food source value range；XmaxIndicate the maximum value of food source value range；R expression [0,
1] random number between；Xi(n) indicate that n-th of feasible solution bee colony search acceleration strategy prevents population from falling into local optimum；It solves every
A sample is split, then pass through morphology the degree of membership of Optimal cluster centers according to maximum membership grade principle to image
Processing obtains target image；
(2) it is detected by crack of the fracture detection module to the component in engineering-built；It is beaten using mathematical model by 3D
Three dimensional model printing material object component model of the impression block to building；
The mathematical model：The weighting method vector set N of known modelsn={ N1, N2..., Nn, unit vector d is sought, so that NnMiddle institute
Directed quantity is to the sum of the projected length of d minimum；Weighting method amount is illustrated in the projection of fabrication orientation, normal vector NiTo the throwing of direction d
Shadow length is ξi；Remember d=(a, b, c) T, Ni=(xi, yi, zi), NnThe sum of projected length to d is L, then has:
Volume deviation V is minimum when L is minimized；
Linear regression model (LRM) yi=xiβ+εi, i=1 ..., n；
In formula：(xi, yi) it is i-th of observation data；β is regression coefficient vector；ξiFor the error not observed；For all sights
Measured data, so that：
Overall error of fitting is minimum
(3) safety analysis is carried out to engineering-built to the pressure data of detection, crack data by analysis module；By showing mould
Image, detection pressure data and the analysis result of block display acquisition.
2. the component detection analysis method in the engineering-built based on nondestructive inspection as described in claim 1, which is characterized in that
The three-dimensional modeling module modeling method is as follows：
Firstly, obtaining the orientation of the determination key construction component between building member image；
Secondly, what is successively carried out after obtaining building member image carries out respective handling to high partial image；
Then, interpretation needs to model region；
Then, correlation models are established to the different images of multiple identical buildings；
Finally, printing the building member 3D model determined by 3D printing module.
3. the component detection analysis method in the engineering-built based on nondestructive inspection as claimed in claim 2, which is characterized in that
The orientation of the determining key construction component includes the architecture information and key construction obtained around key construction component
The architecture information of component itself, the key construction component self information include itself geographic coordinate information, occupied area,
Height and number of floor levels, the architecture information around the key construction component include the land occupation face of the 8 fields building of surrounding buildings
Product, height and number of floor levels.
4. the component detection analysis method in the engineering-built based on nondestructive inspection as claimed in claim 2, which is characterized in that
The acquisition building member image includes obtaining corresponding No. two images of high score, building member drawing and Aerial Images；
It includes carrying out operation interpretation using ARCGIS software, carrying out under operation and to described that the interpretation, which needs the region modeled,
The statistics for the region area that interpretation needs to model.
5. the component detection analysis method in the engineering-built based on nondestructive inspection as claimed in claim 2, which is characterized in that
The fracture detection module detection method is as follows：
Firstly, using detection radar respectively under θ polarization mode andIt is waited under polarization mode with different incident angle sweep building bodies
Target area is detected, series of scans data are obtained；
Secondly, choosing Morlet wavelet basis is used as matching template, template matching is carried out to obtained series of scans data, obtain and
Response echo when fracture shape is relevant early；
Then, calculate θ polarization mode under withUnder polarization mode when the morning of crack and background response echo similarity factor difference,
Corresponding fracture strike is determined according to incident angular direction corresponding to maximum similarity factor difference；
Then, it is not orthogonal to the θ polarization incidence wave fracture detection of fracture strike using incident direction, is utilized in detection echo
Peak extraction algorithm obtains electromagnetic wave via the time of crack two-end-point, obtains fracture length information；It is vertical using incident direction
In fracture strikePolarize the detection of incidence wave fracture, is split in detection echo using the extraction of wavelet modulus maxima method
Stitch width information；
Finally, using incident direction perpendicular to groundPolarize the detection of incidence wave fracture, is become in detection echo using small echo
It changes modulus maximum method and finds crack nearest vertex from the ground, obtain penetration of fracture information.
6. the component detection analysis method in the engineering-built based on nondestructive inspection as claimed in claim 5, which is characterized in that
The incident angular direction according to corresponding to maximum similarity factor difference determines the algorithm of corresponding fracture strike, it then follows following number
Formula：
Wherein：θtIt is the pitch angle in crack in rectangular coordinate system；It is the azimuth in crack in rectangular coordinate system；θiIt is incidence wave
Incidence angle；It is the azimuth of incidence wave.
7. a kind of component detection analysis method realized in the engineering-built described in claim 1 based on nondestructive inspection based on nothing
Damage the component detecting analytic system in the engineering-built of flaw detection, which is characterized in that in the engineering-built based on nondestructive inspection
Component detecting analytic system include：
Image capture module, pressure detecting module, central processing module, three-dimensional modeling module, fracture detection module, 3D printing mould
Block, analysis module, display module；
Image capture module is connect with central processing module, for shooting the component picture number in engineering-built by camera
According to；
Pressure detecting module, connect with central processing module, for detecting the component in engineering-built by pressure sensor
Weighing pressure data information；
Central processing module, with image capture module, pressure detecting module, three-dimensional modeling module, fracture detection module, 3D printing
Module, analysis module, display module connection, work normally for controlling modules；
Three-dimensional modeling module, connect with central processing module, for constructing three-dimensional module to the component in engineering-built；
Fracture detection module, connect with central processing module, detects for the crack to the component in engineering-built；
3D printing module, connect with central processing module, for the three dimensional model printing material object component model to building；
Analysis module is connect with central processing module, is pacified for the pressure data to detection, crack data to engineering-built
Complete analysis；
Display module is connect with central processing module, for showing the image, detection pressure data and analysis result of acquisition.
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| CN111222094A (en) * | 2019-10-24 | 2020-06-02 | 中国地质大学（武汉） | Evaluation technology of residual error after application of Fouche fracture occurrence probability distribution calculation method |
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