CN101696954B - Electromagnetic tomography nondestructive inspection device for severe fault of rail and method thereof - Google Patents
Electromagnetic tomography nondestructive inspection device for severe fault of rail and method thereof Download PDFInfo
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Abstract
The invention provides an electromagnetic tomography nondestructive inspection device for severe fault of a rail and a method thereof. The inspection device comprises an L-shaped array sensor, an electromagnetic tomography nondestructive inspection case, a fault detection monitoring and recording computer and a fault detection monitoring liquid crystal panel, wherein the electromagnetic tomography nondestructive inspection case comprises a power driving circuit, an excitation direction control circuit, an excitation current distribution VCCS array, an excitation signal distribution amplification circuit, an orthogonal program control two-channel DDS excitation signal generator, a bus, a system power supply, an FPGA synchronous control circuit, a preposed signal conditioning circuit, a signal digital demodulation FPGA chip, an embedded system, a communication interface and a liquid crystal display module. The device and the method can ensure on-line inspection of rail fault inspection along with train operation, and is convenient for discovering the condition of serious fault of the rail with severe potential danger to rail transportation in time.
Description
Technical field
The present invention relates to severely injured electromagnetic tomography nondestructive inspection device of a kind of rail and method.
Background technology
At present, the technology that can be used for the online rail examination of high speed is the electromagnetism rail examination, but electromagnetism rail examination technology is the point measurement pattern, because the restriction of its principle, its sensing range only is 5% to 30% of a rail's end portion.Though electromagnetism rail examination sensing range is little, under the situation that active demand high speed rail is surveyed at present, because it has noncontact and high-speed characteristic, this technology still has remarkable advantages, also fails to realize the detection of the rail failure degree of depth and position.
Summary of the invention
The purpose of this invention is to provide severely injured electromagnetic tomography nondestructive inspection device of a kind of rail and method, improved the detectability of electromagnetism rail examination, realized the online rail examination of high speed.
According to an aspect of the present invention, provide a kind of rail severely injured electromagnetic tomography nondestructive inspection device, the severely injured electromagnetic tomography nondestructive inspection device of described rail comprises: L shaped sensor array, electromagnet chromatography Non-Destructive Testing cabinet, flaw detection monitoring and logger computer and flaw detection monitoring liquid crystal panel.Wherein electromagnet chromatography Non-Destructive Testing cabinet comprises that power driving circuit, excitation orientation control circuit, exciting current distribute VCCS array, pumping signal distribution amplification circuit, the program control binary channels DDS excitation signal generator of quadrature, bus, system power supply, FPGA synchronization control circuit, advance signal modulate circuit, signal digital demodulation fpga chip, embedded system, communication interface, LCD MODULE.Wherein said excitation orientation control circuit, exciting current distribute VCCS array, pumping signal distribution amplification circuit, the program control binary channels DDS excitation signal generator of quadrature, FPGA synchronization control circuit, embedded system, communication interface to be connected with bus respectively; The program control binary channels DDS excitation signal generator of quadrature, pumping signal distribution amplification circuit, exciting current distribute VCCS array, excitation orientation control circuit, power driving circuit, L shaped sensor array, advance signal modulate circuit, signal digital demodulation fpga chip, embedded system 1 to link to each other successively; The FPGA synchronization control circuit is connected with signal digital demodulation fpga chip; LCD MODULE is connected with embedded system; Communication interface, flaw detection monitoring and logger computer are connected successively with flaw detection monitoring liquid crystal panel.
Preferably, described advance signal modulate circuit 110 comprises and comprises A/D convertor circuit and filter amplification circuit.Preferably, described electromagnet chromatography Non-Destructive Testing cabinet is installed on the below on train chassis.
Preferably, described embedded system comprises the peripheral interface circuit of embedded microprocessor, formation microprocessor system.
According to another aspect of the present invention, provide a kind of rail severely injured electromagnet chromatography lossless detection method, the severely injured electromagnet chromatography lossless detection method of described rail performing step comprises: the first step, in train on-line operation process, selection is stored in a kind of cycle motivation pattern of embedded system and carries out cycle motivation, and other coils of not doing excitation use as magnetic test coil.Second step, the program control binary channels DDS excitation signal generator of embedded control system control quadrature produce the specific incentives signal, pumping signal is distributed VCCS array, excitation orientation control circuit through pumping signal distribution amplification circuit, exciting current successively, and these three modules are carried out excitation signal voltage amplification, electric current amplification and excitation orientation respectively according to selected cycle motivation mode cycle selector channel and selected.The 3rd step, power driving circuit carry out power amplification to pumping signal, and pumping signal makes L shaped sensor array produce detection of electromagnetic fields by coil.The 4th step, advance signal modulate circuit carry out synchronous acquisition to detection signal, and image data are sent to signal digital demodulation fpga chip under the control of FPGA synchronization control circuit circuit.The 5th step, signal digital demodulation fpga chip carry out online demodulation to the data of magnetic test coil collection, embedded system is arranged the detection signal demodulating information and is obtained two-dimentional impedance matrix according to the excitation cycle cycle, and with it as metrical information, carry out the reconstruction of rail failure distributed image.The 6th step, flaw detection monitoring and logger computer obtain the rail failure distributed intelligence by communication interface, carry out historical record and carry out the real-time demonstration of information by flaw detection monitoring liquid crystal panel.
Preferably, the digital demodulation algorithm in described the 5th step adopts FFT (Fast FourierTransform, Fast Fourier Transform (FFT)) Spectral Analysis Method.
Preferably, LBP (Linear back projection) method and regularization generalized inverse algorithm are adopted in the reconstruction of the rail failure distributed image in described the 5th step.
The present invention introduces rail examination with electromagnetic chromatographic (EMT) by the thought of reconstruction from projections imaging, designed brand-new sensor construction, this structure is different from the enclosed construction of traditional E MT system, has adopted L shaped Open architecture to innovation, and this structure is suitable for the rail on-line monitoring.For using this brand-new structure, the present invention proposes corresponding image reconstruction algorithm.
Beneficial effect of the present invention is: electromagnetic chromatography imaging technique is combined with electromagnetic nondestructive testing, used the digital demodulation signal technology, adopt cycle motivation technology and L shaped sensor array, solve failure detector in the present rail examination technology and need contact the problem that rail, the non-solid of detection information and speed of detection are slow, the flaw detection cycle is long, make rail examination be convenient in time find track traffic is had the severely injured situation of rail of big potential hazard with the online detection of train operation.
Description of drawings
Fig. 1 is the overall construction drawing according to the severely injured electromagnetic tomography nondestructive inspection device of a kind of rail of the present invention; And
Fig. 2 is the detailed structure view of L shaped sensor array in the severely injured electromagnetic tomography nondestructive inspection device of a kind of rail according to the present invention.
Embodiment
Details are as follows to embodiments of the invention below in conjunction with accompanying drawing:
According to the severely injured electromagnetic tomography nondestructive inspection device of rail of the present invention, as shown in Figure 1, comprise L shaped sensor array 101, electromagnet chromatography Non-Destructive Testing cabinet 115, flaw detection monitoring and logger computer 116 and flaw detection monitoring liquid crystal panel 117.
Wherein, electromagnet chromatography Non-Destructive Testing cabinet 115 comprises that power driving circuit 102, excitation orientation control circuit 103, exciting current distribute VCCS array 104, pumping signal distribution amplification circuit 105, the program control binary channels DDS of quadrature (Direct Digital Dynthesizer, direct synthesizer) excitation signal generator 106, bus 107, system power supply 108, FPGA synchronization control circuit 109, advance signal modulate circuit 110, signal digital demodulation fpga chip 111, embedded system 112, communication interface 113 and LCD MODULE 114; Described excitation orientation control circuit 103, exciting current distribute VCCS array 104, pumping signal distribution amplification circuit 105, the program control binary channels DDS excitation signal generator 106 of quadrature, FPGA synchronization control circuit 109, embedded system 112, communication interface 113 to be connected with bus 107 respectively; The program control binary channels DDS excitation signal generator 106 of quadrature, pumping signal distribution amplification circuit 105, exciting current distribute VCCS array 104, excitation orientation control circuit 103, power driving circuit 102, L shaped sensor array 101, advance signal modulate circuit 110, signal digital demodulation fpga chip 111, embedded system 112 to link to each other successively; FPGA synchronization control circuit 109 is connected with signal digital demodulation fpga chip 111; LCD MODULE 114 is connected with embedded system 112; Communication interface 113, flaw detection monitoring and logger computer 116 are connected successively with flaw detection monitoring liquid crystal panel 117.
Embedded system 112 is used to control pumping signal generation, cycle motivation model selection, detection signal collection and demodulation, finishes systematic parameter configuration and demodulating information arrangement and information output, and inside comprises embedded microprocessor and auxiliary circuit.
The program control binary channels DDS excitation signal generator 106 of quadrature is subjected to embedded system 112 controls, the pumping signal that is used to produce, and inside comprises high precision DDS chip, the frequency of control pumping signal able to programme, amplitude and first phase.Link to each other respectively with pumping signal distribution amplification circuit 105 with bus 107.
Pumping signal distribution amplification circuit 105 is subjected to embedded system 112 controls, according to the selected passage of selected cycle motivation mode cycle pumping signal is carried out voltage amplification.Link to each other respectively with the program control binary channels DDS excitation signal generator 106 of bus 107 and quadrature.
Exciting current distributes VCCS array 104 to be subjected to embedded system 112 controls, according to the selected passage of selected cycle motivation mode cycle pumping signal is carried out electric current and amplifies.Link to each other respectively with pumping signal distribution amplification circuit 105 with bus 107.
Excitation orientation control circuit 103 is subjected to embedded system 112 controls, according to the selected passage of selected cycle motivation mode cycle the pumping signal travel direction is selected.Distribute VCCS array 104 to link to each other respectively with bus 107 and exciting current.
102 pairs of pumping signals of power driving circuit are carried out power amplification, link to each other respectively with L shaped sensor array 101 with excitation orientation control circuit 103.
L shaped sensor array 101 is made of coil yoke 202 and coil 203, produces detection of electromagnetic fields after the load energizing current.Link to each other respectively with advance signal modulate circuit 110 with power driving circuit 102.
Advance signal modulate circuit 110 is subjected to 109 controls of FPGA synchronization control circuit, is used for the synchronous acquisition signal and signal is carried out filtering, processing and amplifying, comprises A/D convertor circuit and filter amplification circuit.Link to each other respectively with L shaped sensor array 101, FPGA synchronization control circuit 109 and signal digital demodulation fpga chip 111.
Signal digital demodulation fpga chip 111 Applied Digital demodulating algorithms carry out online demodulation to detection information, carry out data transmission respectively with advance signal modulate circuit 110 and embedded system 112 under 109 controls of FPGA synchronization control circuit.Link to each other respectively with advance signal modulate circuit 110, FPGA synchronization control circuit 109 and embedded system 112.
FPGA synchronization control circuit 109 assists 112 pairs of gatherer processes of embedded system to carry out synchro control, the synchronous acquisition that comprises hyperchannel AD converter in the control advance signal modulate circuit 110, the data transmission between control advance signal modulate circuit 110 and signal digital demodulation fpga chip 111 and signal digital demodulation fpga chip 111 and the embedded system 112.Link to each other with bus 107, signal digital demodulation fpga chip 111 and advance signal modulate circuit 110.
Electromagnet chromatography Non-Destructive Testing cabinet 115 is connected with the train chassis, and inside comprises power driving circuit 102, excitation orientation control circuit 103, exciting current distribution VCCS array 104, pumping signal distribution amplification circuit 105, the program control binary channels DDS excitation signal generator 106 of quadrature, bus 107, system power supply 108, FPGA synchronization control circuit 109, advance signal modulate circuit 110, signal digital demodulation fpga chip 111, embedded system 112, communication interface 113, LCD MODULE 114.
Flaw detection monitoring and logger computer 116 are used for the monitoring and detection process, and communicate by communication interface 113 and embedded system 112, and the monitoring of control flaw detection in real time liquid crystal panel 117 shows rail failure distributed intelligence and the stored record information that detection system obtains.Link to each other with flaw detection monitoring liquid crystal panel 117 with communication interface 113.
Flaw detection monitoring liquid crystal panel 117 is used to show the rail failure distributed intelligence of detection system acquisition, links to each other with flaw detection monitoring and logger computer 116.
Fig. 2 is the detailed structure view of L shaped sensor array 101 described in severely injured electromagnetic tomography nondestructive inspection device of a kind of rail of the present invention and the method, in Fig. 2, L shaped sensor array 101 is by evenly distributed composition such as L shaped sensor such as five groups of first group of coil 204, second group of coil 205, the 3rd group of coil 206, the 4th group of coil 207, the 5th group of coils 208 etc.Every group of coil comprises coil 203, coil yoke 202; L shaped sensor array 101 is positioned at rail 201 tops during detection, and the I-shaped head top of coil yoke 202 and rail 201 is parallel respectively with the Z direction and keep suitable distance at X.Wherein:
Rail 201 is the employed steel tracks of track traffic, is generally made by manganese steel.
First group of coil 204, second group of coil 205, the 3rd group of coil 206, the 4th group of coil 207,208: five groups of parallel evenly distributed L shaped coil groups of the 5th group of coil, the individual coil in totally 20 (5 * 4) is numbered 204A, 204B, 204C, 204D, 205A, 205B, 205C, 205D, 206A, 206B, 206C, 206D, 207A, 207B, 207C, 207D, 208A, 208B, 208C, 208D respectively by position among the figure.
In Fig. 3, a kind of Flame Image Process aided detection method of online rail examination, it is as follows that it implements process description:
1) system initialization is provided with embedded system 112 running parameters, by embedded system 112 signal parameter of program control binary channels DDS excitation signal generator 106 generations of quadrature and the demodulation parameter of signal digital demodulation fpga chip 111 is set.
2) selection is stored in a kind of cycle motivation pattern of embedded system 112, according to the select progressively coil cycle of carrying out of 204A, 205A, 206A, 207A, 208A, 208B, 208C, 208D, 207D, 206D, 205D, 204D, 204C, 204B among Fig. 2 be 14 cycle motivation, 19 coils not doing excitation use as magnetic test coil.
3) the program control binary channels DDS excitation signal generator 106 of quadrature begins to produce pumping signal, controls pumping signal distribution amplification circuit 105, exciting current respectively by embedded system 112 and distributes VCCS array 104, excitation orientation control circuit 103 to carry out respectively according to selected cycle motivation mode cycle selector channel that excitation signal voltage is amplified, electric current amplifies and the excitation orientation selection.
4) 102 pairs of pumping signals of power driving circuit are carried out power amplification, and L shaped sensor array 101 produces detection of electromagnetic fields, advance signal modulate circuit 110 beginning synchronous acquisition 1 tunnel excitation back production signal and 19 road detection signals.
5) data of 111 pairs of magnetic test coil collections of signal digital demodulation fpga chip are carried out online demodulation, embedded system 112 is integrated the detection signal demodulating information to arrange according to the excitation cycle cycle and is obtained 14 * 19 two-dimentional impedance matrix, and with it as metrical information, carry out the reconstruction of rail failure distributed image.
6) flaw detection monitoring and logger computer 116 obtain the rail failure distributed intelligence by communication interface 113, carry out historical record and carry out the real-time demonstration of information by flaw detection monitoring liquid crystal panel 117; Returning the 5th step cycle then handles.
Claims (6)
1. the severely injured electromagnetic tomography nondestructive inspection device of a rail, it is characterized in that: described pick-up unit comprises: L shaped sensor array (101), electromagnet chromatography Non-Destructive Testing cabinet (115), flaw detection monitoring and logger computer (116), with flaw detection monitoring liquid crystal panel (117), wherein, comprise power driving circuit (102) in the electromagnet chromatography Non-Destructive Testing cabinet (115), excitation orientation control circuit (103), exciting current distributes VCCS array (104), pumping signal distribution amplification circuit (105), the program control binary channels DDS excitation signal generator of quadrature (106), bus (107), system power supply (108), FPGA synchronization control circuit (109), advance signal modulate circuit (110), signal digital demodulation fpga chip (111), embedded system (112), communication interface (113), and LCD MODULE (114)
Described electromagnet chromatography Non-Destructive Testing cabinet (115) is installed on the train bottom, electromagnet chromatography Non-Destructive Testing cabinet (115) is installed L shaped sensor array (101) near a side of rail, L shaped sensor array (101) is positioned at the inboard position that contacts with the train wheel rim of two one steel rails
Described embedded system (112) is a core with embedded microprocessor and microprocessor peripheral circuit,
Described L shaped sensor array (101) is made up of five groups of parallel evenly distributed first group of coil (204), second group of coil (205), the 3rd group of coil (206), the 4th group of coil (207), the 5th group of coils (208), every group of coil comprises coil (203) and coil yoke (202)
Wherein said excitation orientation control circuit, exciting current distribute VCCS array, pumping signal distribution amplification circuit, the program control binary channels DDS excitation signal generator of quadrature, FPGA synchronization control circuit, embedded system, communication interface to be connected with bus respectively; The program control binary channels DDS excitation signal generator of quadrature, pumping signal distribution amplification circuit, exciting current distribute VCCS array, excitation orientation control circuit, power driving circuit, L shaped sensor array, advance signal modulate circuit, signal digital demodulation fpga chip, embedded system 1 to link to each other successively; The FPGA synchronization control circuit is connected with signal digital demodulation fpga chip; LCD MODULE is connected with embedded system; Communication interface, flaw detection monitoring and logger computer are connected successively with flaw detection monitoring liquid crystal panel.
2. the severely injured electromagnet chromatography lossless detection method of a rail, it is characterized in that: described detection method comprises the steps:
1) system initialization is provided with embedded system (112) running parameter, by embedded system (112) signal parameter of the program control binary channels DDS excitation signal generator of quadrature (106) generation and the demodulation parameter of signal digital demodulation fpga chip (111) is set;
2) selection is stored in a kind of cycle motivation pattern of embedded system (112), select coil (204A, 205A, 206A, 207A, 208A, 208B, 208C, 208D, 207D, 206D, 205D, 204D, 204C, 204B) in order, carry out cycle motivation, other coils use as magnetic test coil;
3) the program control binary channels DDS excitation signal generator of quadrature (106) begins to produce pumping signal, controls pumping signal distribution amplification circuit (105), exciting current respectively by embedded system (112) and distributes VCCS array (104), excitation orientation control circuit (103) to carry out respectively according to selected cycle motivation mode cycle selector channel that excitation signal voltage is amplified, electric current amplifies and the excitation orientation selection;
4) power driving circuit (102) carries out power amplification to pumping signal, and L shaped sensor array (101) produces detection of electromagnetic fields, advance signal modulate circuit (110) beginning synchronous acquisition excitation back production signal and detection signal;
5) signal digital demodulation fpga chip (111) carries out online demodulation to the data of magnetic test coil collection, embedded system (112) is arranged the detection signal demodulating information according to the excitation cycle cycle, arrangement obtains 14 * 19 two-dimentional impedance matrix, and with it as metrical information, carry out the reconstruction of rail failure distributed image; And
6) flaw detection monitoring and logger computer (116) obtain the rail failure distributed intelligence by communication interface (113), carry out historical record and carry out the real-time demonstration of information by flaw detection monitoring liquid crystal panel (117); Return the 5th then) the step cycle processing.
3. the severely injured electromagnet chromatography lossless detection method of rail according to claim 2, it is characterized in that: described embedded system (112) is used to control excitation orientation control circuit (103), exciting current distributes VCCS array (104) and pumping signal distribution amplification circuit (105) to produce pumping signal, and be used for the signal demodulation control of control detection coil, be used to realize the reconstruction of rail failure distributed image simultaneously.
4. the severely injured electromagnet chromatography lossless detection method of rail according to claim 2 is characterized in that: the detection signal of described FPGA synchronization control circuit (109) and control advance signal modulate circuit (110) first group of coil of synchronous acquisition (204), second group of coil (205), the 3rd group of coil (206), the 4th group of coil (207), the 5th group of coil (208).
5. the severely injured electromagnet chromatography lossless detection method of rail according to claim 2 is characterized in that: described signal digital demodulation fpga chip (111) adopts digital demodulation algorithm real-time online demodulation detection signal.
6. the severely injured electromagnet chromatography lossless detection method of rail according to claim 2, it is characterized in that: the cycle of cycle motivation is 14, the coil that uses as magnetic test coil is 19.
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Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103231726A (en) * | 2013-02-27 | 2013-08-07 | 常州兆能电子科技有限公司 | Rail damage testing device and method based on three-way electromagnetism differential sensor |
| CN103412039A (en) * | 2013-09-04 | 2013-11-27 | 上海海事大学 | Electromagnetic fault detection sensing device in multi-frequency multiple drive models |
| CN104655656B (en) * | 2014-12-05 | 2018-07-13 | 广州丰谱信息技术有限公司 | Detection imaging method and device based on wideband magnetic wave transmission model parameter identification |
| CN106124612A (en) * | 2016-06-28 | 2016-11-16 | 中国计量大学 | A kind of Portable ferromagnetic fault in material based on low frequency electromagnetic detection device |
| CN106324083A (en) * | 2016-07-28 | 2017-01-11 | 董超超 | Steel rail track capable of detecting own integrity |
| CN108732238A (en) * | 2018-03-06 | 2018-11-02 | 北京交通大学 | The device and method of electromagnet chromatography rail examination sensor array structure lift-off compensation |
| CN109696469A (en) * | 2019-01-15 | 2019-04-30 | 北京交通大学 | A kind of high-speed rail wheel electromagnetic chromatographic method of detection and device |
| CN109781837B (en) * | 2019-02-26 | 2021-03-16 | 北京交通大学 | Electromagnetic chromatography millimeter wave radar online steel rail flaw detection device and method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5650726A (en) * | 1994-09-22 | 1997-07-22 | Oyo Corporation | Emitter for an electromagnetic tomography measurement system which connects a greater number of windings to a magnetic core at low frequencies than at high frequencies |
| CN1584565A (en) * | 2004-06-14 | 2005-02-23 | 北京交通大学 | Rapid parallel exciting apparatus and method for electromagnetic chromatographic imaging system |
| CN101122579A (en) * | 2007-09-25 | 2008-02-13 | 王祥国 | Railroad micro-magnetism flaw detector and its defectoscopy |
| CN101231266A (en) * | 2008-01-31 | 2008-07-30 | 华南理工大学 | Detection system for electromagnetic nondestructive test probe |
| CN101458227A (en) * | 2009-01-09 | 2009-06-17 | 南京航空航天大学 | Pulse leakage railway rail detecting system and detecting method thereof |
-
2009
- 2009-10-29 CN CN2009102369397A patent/CN101696954B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5650726A (en) * | 1994-09-22 | 1997-07-22 | Oyo Corporation | Emitter for an electromagnetic tomography measurement system which connects a greater number of windings to a magnetic core at low frequencies than at high frequencies |
| CN1584565A (en) * | 2004-06-14 | 2005-02-23 | 北京交通大学 | Rapid parallel exciting apparatus and method for electromagnetic chromatographic imaging system |
| CN101122579A (en) * | 2007-09-25 | 2008-02-13 | 王祥国 | Railroad micro-magnetism flaw detector and its defectoscopy |
| CN101231266A (en) * | 2008-01-31 | 2008-07-30 | 华南理工大学 | Detection system for electromagnetic nondestructive test probe |
| CN101458227A (en) * | 2009-01-09 | 2009-06-17 | 南京航空航天大学 | Pulse leakage railway rail detecting system and detecting method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 刘泽等.多激励模式的电磁层析成像系统.《仪器仪表学报》.2001,第22卷(第6期),614-617. * |
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