CN207798707U - A kind of microwave thermal imaging non-destructive detecting system based on matrix decomposition - Google Patents
A kind of microwave thermal imaging non-destructive detecting system based on matrix decomposition Download PDFInfo
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- CN207798707U CN207798707U CN201721551637.5U CN201721551637U CN207798707U CN 207798707 U CN207798707 U CN 207798707U CN 201721551637 U CN201721551637 U CN 201721551637U CN 207798707 U CN207798707 U CN 207798707U
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Abstract
The microwave thermal imaging non-destructive detecting system based on matrix decomposition that the utility model is related to a kind of, including microwave excitation device and thermal imaging monitoring device；Microwave excitation device includes microwave signal generator, microwave signal amplifier, microwave excitation sensor and absorbing material；Thermal imaging monitoring device includes thermal imaging system, data acquisition processing device；Data acquisition processing device is connect with microwave signal generator and thermal imaging system respectively, to obtain the temperature variation data of measured object.The microwave thermal imaging non-destructive detecting system based on matrix decomposition can solve to carry out fast imaging and separation to different type defect, prominent indicated range heat space pattern feature extraction solves neighbouring defect since temperature aliasing can not position, detach and subsurface defect damaged area is difficult to effective quantification problem；It solves the problems, such as to be automatically separated defect, fast imaging can be carried out to the shock defect and damaged area of different-energy.
Description
Technical field
The utility model is related to a kind of infrared imaging defect detecting system based on microwave heating, and in particular to one kind is based on
The microwave thermal imaging non-destructive detecting system of matrix decomposition, belongs to non-destructive testing, medical imaging and target acquisition technical field.
Background technology
Active infra-red thermal imaging is detected with non-contact, visual result, area of detection is big, detection speed is fast, to layering
The advantages that weld defect control, depth are quantitative.Traditional active thermal imaging non-destructive testing mainly uses optics mode of heating, can only be right
The surface of tested material is directly heated, and inside needs to be heated by heat exchange pattern.
In recent years, volume or internal mode of heating have attracted people's attention, and have thus expedited the emergence of new active thermal imaging
Detection technique, such as ultrasonic heat imaging detection technology, vortex thermal imaging detection technique and microwave thermal imaging (Microwave
Thermography, MT) detection technique.Ultrasonic heat imaging detection technology is contact, and requires checked object position solid
It is fixed, also interfered by resonant frequency.Although vortex thermal imaging detection technique is contactless, but excited target coil shape shadow
It rings, non-uniform heating phenomenon is very serious.
It is different that a kind of low-density is disclosed in the Chinese utility model patent document that Authorization Notice No. is CN105021697B
The thermal acoustic imaging method and apparatus that analyte detection and type differentiate.The method includes obtaining thermoacoustic image, obtain velocity of sound distribution map
Picture and discriminating foreign matter three steps of type.Low-density foreign matter can absorb microwave energy volume production in the case where pulse microwave excites source excitation
Heat acoustic effect simultaneously releases thermoacoustic signal, and foreign matter size, shape and the detection of position may be implemented using thermoacoustic image is rebuild.
When foreign matter and when ambient substance density difference, thermoacoustic wave spread speed wherein and through characteristic can also pass through with variation
Rebuild the type discriminating that foreign matter can be realized in foreign matter velocity of sound distributed image.
When the thermal acoustic imaging device operation that the low-density foreign bodies detection and type differentiate, due to the thermoacoustic of pulse microwave excitation
Wave is a kind of mechanical wave positioned at supersonic range, actually a kind of still ultrasonic wave, and ultrasonic heat imaging detection technology is to connect
Touch, and checked object position is required to fix, also interfered by resonant frequency.
Utility model content
In order to overcome problems of the prior art, the utility model provide it is a kind of based on the microwave thermal of matrix decomposition at
As nondestructive detection system, can solve to carry out fast imaging and separation, prominent indicated range heat space mould to different type defect
Formula feature extraction solves neighbouring defect since temperature aliasing can not position, detach and subsurface defect damaged area has been difficult to
Imitate quantification problem；It solves the problems, such as to be automatically separated defect, the shock defect and damaged area of different-energy can be carried out fast
Rapid-result picture.
The technical solution of the utility model is as follows：
A kind of microwave thermal imaging non-destructive detecting system based on matrix decomposition, it is characterised in that：Including microwave excitation device
With thermal imaging monitoring device；Microwave excitation device includes microwave signal generator, microwave signal amplifier microwave excitation sensor
And absorbing material；Thermal imaging monitoring device includes thermal imaging system and data acquisition processing device；Data acquisition processing device respectively with
Microwave signal generator is connected with thermal imaging system, to obtain the temperature variation data of measured object.
Wherein, the microwave excitation sensor (3) uses electromagnetic horn and Open-End Rectangular Waveguide.
The utility model has the advantages that：
1, microwave thermal imaging detection technology is heated using microwave, has some unique advantages：1) microwave is not connecting
Continuous interface will produce reflection, scattering, transmission, strengthen the effect to composite material surface and subsurface defect detection；2) micro-
Wave heating uniformity is good, and the efficiency of heating surface is high, and speed is fast, can reach heating effect in a short time；3) thermal inertia of microwave heating
It is small, it is easy to accomplish the mode of heating of different functions modulation.Compared with other lossless detection methods, the advantages of microwave thermal imaging, also wraps
It includes：1) compared with ultrasound detection, microwave heating does not need couplant, it can be achieved that non-contact detecting；2) compared with electromagnetic detection
Compared with, due to microwave propagation and infra-red radiation there is directionality, it can be achieved that long-distance large-range image conversion and automatic detection；3)
Compared with ray detection, microwave is low to the radiativity harm of human body and environment.
2, for existing wind electricity blade non-destructive testing the deficiency of the problem of and existing microwave thermal imaging detection technology,
The utility model proposes the microwave thermal imaging imperfection quantitative detecting method towards wind electric blade composite, basic ideas are：
1) volume type heating is carried out to glass fiber compound material using microwave, surface-type heating is carried out to carbon fibre composite；2)
The heat that microwave heating generates will conduct in the composite, and defect will directly affect generation or the conductive process of heat, in turn
Influence the temperature field of composite material surface；3) it uses thermal imaging system record to be detected the temperature field of material surface variation, passes through discrete Fu
In leaf transformation obtain frequency domain phase spectrum, extract characteristic value, establish the quantitative approach of depth of defect；4) by studying different type
Defect is calculated in the timely frequency-domain sparse distribution characteristics of microwave heat space, the matrix decomposition for establishing the sparse control of microwave thermal imaging self-adaptive
Method, and it is quantitative with damaged area for being automatically separated for defect type.
3, the utility model has the following advantages：1) detection efficiency is higher, can one-time detection extensive area；2) it acts on
Distance is remote, homogeneous heating, harmless to tested object；3) it can be heated from tested interior of articles, be conducive to the detection of defect
It is quantitative with depth；4) the matrix decomposition algorithm processing thermal image sequence controlled using adaptive sparse, raising defect fast imaging,
It is automatically separated and damaged area quantitation capabilities.
4, the utility model based on wind-powered electricity generation field actual demand, the characteristics of abundant bonded composite itself, specifically
Advantageous effect is shown：
1) affecting laws of attribute change and depth of defect to multiple physical field are illustrated, realize the microwave thermal of composite material at
As Quantitative Evaluation of Defect；
2) characteristics extraction that frequency domain is carried out to the transient temperature signal after different impulse form microwave heatings, in foundation
The depth quantitative inversion method of portion's defect；
3) it proposes the image sequence obtained using the processing microwave thermal imaging of adaptive sparse method, it is rapid-result soon to establish defect
Picture is automatically separated and damaged area quantitative approach.
The quality control in composite board production and wind electricity blade manufacturing process is can be applied to, and will be in wind electricity blade
It plays a significant role in the In-service testing of equal composite elements and maintenance.
Description of the drawings
Fig. 1 is the structural schematic diagram of the microwave thermal imaging non-destructive detecting system based on matrix decomposition of the utility model；
The blind source mixing mathematic(al) representation of Fig. 2 microwave thermal imaging single channels.
Description of the drawings：
1- microwave signal generators, 2- microwave signals amplifier, 3- microwave excitations sensor, 4- absorbing materials, 5- thermal imagerys
Instrument, 6- data acquisition processing devices, 7- measured objects.
Specific implementation mode
The utility model is described in detail in the following with reference to the drawings and specific embodiments.
As shown in Figure 1, a kind of microwave thermal imaging non-destructive detecting system based on matrix decomposition, including microwave excitation device and
Thermal imaging monitoring device；Microwave excitation device includes microwave signal generator 1, microwave signal amplifier 2, microwave excitation sensor
3 and absorbing material 4；Thermal imaging monitoring device includes thermal imaging system 5 and data acquisition processing device 6；Data acquisition processing device point
It is not connect with microwave signal generator and thermal imaging system, to obtain the temperature variation data of measured object.
Preferably, the microwave excitation sensor 3 uses electromagnetic horn and Open-End Rectangular Waveguide.
It illustrates below：
Microwave excitation device includes that microwave signal generator 1 (quasi- with ROHDE＆SWHARZ SMF100A), microwave signal are put
Big device 2 (quasi- to use Agilent 83006A) and microwave excitation sensor 3 (are intended with microwave antenna such as：Electromagnetic horn ETS-
Lindgrens Model 3117 and Open-End Rectangular Waveguide are such as：WR-90, WR-42), absorbing material 4 etc..Acquisition processing device point
It is not connect with microwave signal generator 1 and thermal imaging system 5, to obtain temperature variation data when test specimen test.Thermal imaging monitors
Device includes other ancillary equipments such as thermal imaging system 5, data acquisition processing device, holder.
By taking the microwave excitation device using electromagnetic horn as an example, the utility model detecting system workflow is：First, micro-
Wave generator is triggered to signal amplifier by data acquisition processing device and exports microwave signal；Secondly, signal amplifier will
It is output to electromagnetic horn after microwave signal amplification, microwave signal is radiated on testee by electromagnetic horn, if measured object is
Carbon fibre material, testee surface generate heat under microwave field action and are conducted inside measured object；Finally, using infrared heat
As instrument records the surface temperature variation of measured object, so that it may to obtain its surface and internal defect information.If measured object is glass
Glass fibrous composite, then microwave field will be to the progress volume type heating of entire measured object, directly using thermal infrared imager record quilt
Survey the temperature change of object, so that it may to obtain its surface and internal defect information；If testee is carbon fibre composite,
Microwave field carries out eddy heating for heating to measured object, and the only surface of measured object is heated, and needs to utilize thermal infrared imager and heat transfer
To obtain internal defects information.
The temperature change that thermal imaging system measures is total to by parameters such as measured material attribute, hot attribute, surface properties and microwave fields
With caused.How extracting suitable characteristic value from the temperature signal of microwave thermal record by imaging and characterizing defect kind is one
Critical issue.
The utility model is quasi- by the timely frequency domain distribution feature of microwave heat space under study of various defect multimode pattern, will
Thermal imaging system is considered as the blind source mixed signal receiver of single channel, from mathematical modeling, it is assumed that t=1,2 ..., T are thermal imaging systems
Detection time, in t time points blind source heat of mixing map space and the mathematic(al) representation of time-frequency domain mixed model：Y(t)
For S=Nx×NyMatrix is tieed up, and s=1,2 ..., S are representation space positions, describe and exist in t time points each blind source region signal
Shared weights in mixed signal.Therefore, the blind source combined mathematics model of single channel linearity is as shown in Figure 2 under ideal conditions.Using point
The blind source mixed model framework method of single channel converting multi-channel of solution method (Decomposition-based) solves mathematics morbid state
Problem, the above mathematic(al) representation can be reduced to：
Wherein Xi (t) indicates that i-th of blind source region signal, N (t) are assumed to be with gaussian distribution characteristic noise signal, Ns tables
Show that blind source sum, vec () indicate that vector conversion, mi are ith hybrid parameter vectors, M=[m1,...,mN] it is blind source hybrid parameter
Matrix.
Based on this, the sparse blind source combined mathematics model for microwave thermal imaging imperfection damage characteristic is established, with
Multi-dimensional model feature mode solves the accuracy in detection of artificial selection and one-dimensional characteristic present defect and characterization uniqueness deficiency is asked
Topic.The utility model adaptive sparse processing image sequence method solve to different type defect carry out fast imaging and
Separation, prominent indicated range heat space pattern feature extraction, solve neighbouring defect due to temperature aliasing can not position, detach and
Subsurface defect damaged area is difficult to effective quantification problem；It solves the problems, such as to be automatically separated defect, it can be to different-energy
It hits defect and damaged area carries out fast imaging.
The above description is only the embodiments of the present invention, and it does not limit the scope of the patent of the present invention, every
Equivalent structure or equivalent flow shift made based on the specification and figures of the utility model, is applied directly or indirectly in
Other related technical areas are equally included in the patent within the scope of the utility model.
Claims (2)
1. a kind of microwave thermal imaging non-destructive detecting system based on matrix decomposition, it is characterised in that：Including microwave excitation device and
Thermal imaging monitoring device；Microwave excitation device includes microwave signal generator（1）, microwave signal amplifier（2）, microwave excitation pass
Sensor（3）And absorbing material（4）；Thermal imaging monitoring device includes thermal imaging system（5）And data acquisition processing device（6）；Data are adopted
Collection processing unit is connect with microwave signal generator and thermal imaging system respectively, to obtain the temperature variation data of measured object.
2. a kind of microwave thermal imaging non-destructive detecting system based on matrix decomposition as described in claim 1, it is characterised in that：Institute
State microwave excitation sensor（3）Using electromagnetic horn and Open-End Rectangular Waveguide.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107782748A (en) * | 2017-11-20 | 2018-03-09 | 福建师范大学福清分校 | Microwave thermal imaging non-destructive detecting system and detection method based on matrix decomposition |
| US11199494B2 (en) | 2019-10-01 | 2021-12-14 | General Electric Company | Inspection system and method |
| CN114046885A (en) * | 2021-11-22 | 2022-02-15 | 北京泰乙信测控技术有限公司 | High-power microwave space positioning and energy region measuring method based on infrared imaging |
-
2017
- 2017-11-20 CN CN201721551637.5U patent/CN207798707U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107782748A (en) * | 2017-11-20 | 2018-03-09 | 福建师范大学福清分校 | Microwave thermal imaging non-destructive detecting system and detection method based on matrix decomposition |
| CN107782748B (en) * | 2017-11-20 | 2023-12-19 | 福建技术师范学院 | Microwave thermal imaging nondestructive detection system and detection method based on matrix decomposition |
| US11199494B2 (en) | 2019-10-01 | 2021-12-14 | General Electric Company | Inspection system and method |
| CN114046885A (en) * | 2021-11-22 | 2022-02-15 | 北京泰乙信测控技术有限公司 | High-power microwave space positioning and energy region measuring method based on infrared imaging |
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