CN106874888A - A kind of feature by distributed optical fiber vibration signal pattern strengthens and signal processing method - Google Patents
A kind of feature by distributed optical fiber vibration signal pattern strengthens and signal processing method Download PDFInfo
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- CN106874888A CN106874888A CN201710147638.1A CN201710147638A CN106874888A CN 106874888 A CN106874888 A CN 106874888A CN 201710147638 A CN201710147638 A CN 201710147638A CN 106874888 A CN106874888 A CN 106874888A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
- G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
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- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20036—Morphological image processing
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- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
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Abstract
The invention discloses a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal processing method, comprise the following steps：S1, front end fiber-optic vibration signal collection；S2, data acquisition；S3, data transfer；S4, data stacking and interpolation；S5,2-D data image are strengthened；S6, identification region carry out character representation and description.It is a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal processing method that the present invention is provided, by the two dimensional image signal that distributed optical fiber vibration signal is converted to the unit interval, it is more convenient for signal, process signal otherwise is known by two dimensional image, the feature of signal is strengthened, the feature of signal is extracted by Fourier descriptor.It is adapted to be widely popularized.
Description
Technical field
The present invention relates to distribution type fiber-optic field, more particularly to a kind of feature by distributed optical fiber vibration signal pattern
Enhancing and signal processing method.
Background technology
Distributed optical fiber sensing system principle is while use optical fibers as sensing responsive element and transmission signal medium, to adopt
Advanced OTDR technique is used, the change of the temperature and strain along optical fiber diverse location is detected, real distributed survey is realized
Amount.The distributed fiberoptic sensor of the Rayleigh scattering system based on OTDR for proposing experienced the Raman scattering system based on OTDR
With the Brillouin scattering system based on OTDR, temperature measurement accuracy and scope are greatly improved.
OFDR was proposed in the nineties in 20th century, with the depth that Raman scattering and Brillouin scattering and strong scattering are studied
Enter, OFDR is integrated and increasingly shown its superiority in terms of certainty of measurement, measurement range and measuring speed.Except being based on
Outside the Raman scattering type temperature sensor of OTDR, other several distributed optical fiber temperature sensors are practical also very long from industry
A segment distance, so the distributed optical fiber temperature sensor based on OTDR and OFDR will be the focus of research, especially base
In the new distribution type Fibre Optical Sensor of OFDR will be an important developing direction, distribution type fiber-optic application field：Electric power row
Industry, the surface temperature of power cable detection monitoring, the fire monitoring power plant of accident point location, cable tunnel, interlayer and power transformation
The temperature monitoring for adding, the detection of trouble point and fire alarm water conservancy civil construction industry dam, the seepage of river levee, bridge stood
And the monitoring dam of other concrete structures fission, river levee, the concrete setting of bridge and curing temperature and strain monitoring are big
The monitoring structural health conditions highway of type civil engineering, subway tunnel industry, tunnel, subway, the fire monitoring of highway and alarm, stone
Oily Gas Industry oil, natural gas transmission pipeline or tank leak monitoring, oil depot, oil pipe, the temperature monitoring of oil tank and failure
By optical fiber, to a space of distant place, each temperature put is measured the detection profile fiber temperature-sensing system of point in real time,
The thermometric of oil depot, colliery, arsenal, market place builet below the ground, tunnel, big-and-middle-sized transformer and cable duct etc. is mainly used in, and can be led to
Cross monitoring temperature change and reach temperature alarming.Compare with traditional temp measuring method, profile fiber temperature-sensing system can it is inflammable,
Tens of thousands of points are measured simultaneously under explosive environments, and each temperature measuring point can be accurately positioned.Shaken in distribution type fiber-optic
The mode of the field of dynamic signal patternization treatment, not specific feature enhancing and signal transacting, and existing X-Y scheme
As signal processing mode inconvenience.
The content of the invention
The invention aims to solve shortcoming present in prior art, and the one kind for proposing shakes distribution type fiber-optic
The feature enhancing of dynamic signal pattern and signal processing method and preparation method thereof.
To achieve these goals, present invention employs following technical scheme：
A kind of feature by distributed optical fiber vibration signal pattern strengthens and signal processing method, and the method includes following step
Suddenly：
S1, front end fiber-optic vibration signal collection, launch pulse signal and enter sensor fibre by light emission module, backward with Rayleigh
Scattered signal is used as carrier signal, the signal for recycling optical time domain reflection technology and interference technique to receive；
S2, data acquisition, using FPGA as master controller, used as coffret, hardware is divided into signal condition part, signal to USB
Collection part, FPGA portion, usb signal hop and power module, analog I/O module and reserved extension mouth；
S3, data transfer, FPGA obtain the instruction of host computer as the master controller of data collecting system, and FGPA is according to instruction
Data collecting system is in correct working condition, and information and data are fed back into host computer；
S4, data stacking and interpolation, one-dimensional data is piled into two rows or multirow on demand, and row interpolation is entered according to acquisition time,
Produce 2D signal；
S5,2-D data image are strengthened, and image reinforcement, including image expansion are carried out by Morphological scale-space method, holes filling,
Region segmentation；
S6, identification region carry out character representation and description, by extracting image bone, extract the Fourier descriptor of image, and
The identification of vibration signal is carried out by Fourier descriptor.
Preferably, the characteristics of pulse signal has bandwidth and frequency high in step S1, frequency range in 20Hz-10MHz,
High-speed data acquisition card is needed to be acquired.
Preferably, signal condition, signal acquisition and signal caching have the passage of two-way independence in step S2, and FPGA is existing
Field programmable gate array, it is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD, and it is to make
A kind of semi-custom circuit in for application specific integrated circuit field and occur, both solved the deficiency of custom circuit, overcome again
The limited shortcoming of original programming device gate circuit number.
Preferably, the parameter of signal acquisition has sample frequency, sampling length, triggering mode and triggering level in step S2,
Parameter is decoded by address wire, and the mode of data wire multiplexing reaches FGPA, and parameter is preserved using latch function module.
Preferably, in step S3 host computer convey to the order of FGPA and FGPA to send the data of host computer to be all logical
Cross USB to complete, host computer is the instruction source and home to return to of whole acquisition system, and it controls the running parameter of acquisition system
With working condition and finally receive gathered data.
Preferably, in step S5 image expansion be image to obtain the relative and its own origin of B and by Z to image
Based on being shifted, by the set that B expansions are all displacement Z, so, and A at least one element is to overlap to A, hole
Hole filling is to be used for bianry image holes filling using the imfill in Matlab softwares, come for filling image-region and sky
Hole, region segmentation refers to that the data being analysed to carry out region division, data slot wherein interested is extracted do into
The treatment of one step, and other data are abandoned, the main purpose of region segmentation, it is the data volume for reducing subsequent treatment.
Preferably, it is using reading image file, then with graythreash function meters that image bone is extracted in step S6
Threshold calculations are calculated, original image is changed into bianry image using im2bw functions, call bwmorph functions to remove the border picture of object
Element, the image framework of rest of pixels composition simultaneously shows that the Fourier descriptor of image is extracted in the extraction of completion image bone
It is to calculate Fourier descriptor, and the master for passing through shape using the continuous fourier transform method based on Optimum Polygonal Approximation of Digital Curves
Direction eliminates border starting point phase effect.
It is a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal processing method that the present invention is provided, and leads to
The two dimensional image signal that distributed optical fiber vibration signal is converted to the unit interval is crossed, signal of being more convenient for is known by two dimensional image
Process signal, the feature of signal is strengthened otherwise, and the feature of signal is extracted by Fourier descriptor.It is suitable
Conjunction is widely popularized.
Specific embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with specific embodiment, to this
Invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, not
For limiting the present invention.
A kind of feature by distributed optical fiber vibration signal pattern strengthens and signal processing method, and the method includes following
Step：
S1, front end fiber-optic vibration signal collection, launch pulse signal and enter sensor fibre by light emission module, backward with Rayleigh
Scattered signal is used as carrier signal, the signal for recycling optical time domain reflection technology and interference technique to receive；
S2, data acquisition, using FPGA as master controller, used as coffret, hardware is divided into signal condition part, signal to USB
Collection part, FPGA portion, usb signal hop and power module, analog I/O module and reserved extension mouth；
S3, data transfer, FPGA obtain the instruction of host computer as the master controller of data collecting system, and FGPA is according to instruction
Data collecting system is in correct working condition, and information and data are fed back into host computer；
S4, data stacking and interpolation, one-dimensional data is piled into two rows or multirow on demand, and row interpolation is entered according to acquisition time,
Produce 2D signal；
S5,2-D data image are strengthened, and image reinforcement, including image expansion are carried out by Morphological scale-space method, holes filling,
Region segmentation；
S6, identification region carry out character representation and description, by extracting image bone, extract the Fourier descriptor of image, and
The identification of vibration signal is carried out by Fourier descriptor.
The characteristics of pulse signal has bandwidth and frequency high in the step S1, frequency range is needed in 20Hz-10MHz
High-speed data acquisition card is wanted to be acquired.
Signal condition, signal acquisition and signal caching have the passage of two-way independence in the step S2, and FPGA is scene
Programmable gate array, it is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD, and it is conduct
A kind of semi-custom circuit in application specific integrated circuit field and occur, both solved the deficiency of custom circuit, original is overcome again
Have the shortcomings that programming device gate circuit number is limited.
The parameter of signal acquisition has sample frequency, sampling length, triggering mode and triggering level, parameter in the step S2
Decoded by address wire, the mode of data wire multiplexing reaches FGPA, and parameter is preserved using latch function module.
Host computer conveys to the order of FGPA and FGPA sends the data of host computer to and passes through in the step S3
Come what is completed, host computer is the instruction source and home to return to of whole acquisition system to USB, it control acquisition system running parameter and
Working condition simultaneously finally receives gathered data.
Image expansion is image to obtain the relative and its own origin of B and image is entered by Z in the step S5
Based on row displacement, by the set that B expansions are all displacement Z, so, and A at least one element is to overlap to A, hole
Filling is to be used for bianry image holes filling using the imfill in Matlab softwares, come for filling image-region and cavity,
Region segmentation refers to that the data being analysed to carry out region division, data slot wherein interested is extracted and is done further
Treatment, and other data are abandoned, the main purpose of region segmentation, it is the data volume for reducing subsequent treatment.
It is to use to read image file that image bone is extracted in the step S6, then is calculated with graythreash functions
Threshold calculations, bianry image is changed into using im2bw functions by original image, calls bwmorph functions to remove the boundary pixel of object,
The image framework of rest of pixels composition simultaneously shows that complete the extraction of image bone, extracting the Fourier descriptor of image is
Fourier descriptor, and the main side for passing through shape are calculated using the continuous fourier transform method based on Optimum Polygonal Approximation of Digital Curves
To elimination border starting point phase effect.
It is a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal processing method that the present invention is provided, and leads to
The two dimensional image signal that distributed optical fiber vibration signal is converted to the unit interval is crossed, signal of being more convenient for is known by two dimensional image
Process signal, the feature of signal is strengthened otherwise, and the feature of signal is extracted by Fourier descriptor.It is suitable
Conjunction is widely popularized.
The above, the only present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technology according to the present invention scheme and its
Inventive concept is subject to equivalent or change, should all be included within the scope of the present invention.
Claims (7)
1. it is a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal processing method, it is characterised in that the party
Method is comprised the following steps：
S1, front end fiber-optic vibration signal collection, launch pulse signal and enter sensor fibre by light emission module, backward with Rayleigh
Scattered signal is used as carrier signal, the signal for recycling optical time domain reflection technology and interference technique to receive；
S2, data acquisition, using FPGA as master controller, used as coffret, hardware is divided into signal condition part, signal to USB
Collection part, FPGA portion, usb signal hop and power module, analog I/O module and reserved extension mouth；
S3, data transfer, FPGA obtain the instruction of host computer as the master controller of data collecting system, and FGPA is according to instruction
Data collecting system is in correct working condition, and information and data are fed back into host computer；
S4, data stacking and interpolation, one-dimensional data is piled into two rows or multirow on demand, and row interpolation is entered according to acquisition time,
Produce 2D signal；
S5,2-D data image are strengthened, and image reinforcement, including image expansion are carried out by Morphological scale-space method, holes filling,
Region segmentation；
S6, identification region carry out character representation and description, by extracting image bone, extract the Fourier descriptor of image, and
The identification of vibration signal is carried out by Fourier descriptor.
2. according to claim 1 a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal transacting side
Method, it is characterised in that：The characteristics of pulse signal has bandwidth and frequency high in step S1, frequency range in 20Hz-10MHz,
High-speed data acquisition card is needed to be acquired.
3. according to claim 1 a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal transacting side
Method, it is characterised in that：Signal condition, signal acquisition and signal caching have the passage of two-way independence in step S2, and FPGA is existing
Field programmable gate array, it is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD, and it is to make
A kind of semi-custom circuit in for application specific integrated circuit field and occur, both solved the deficiency of custom circuit, overcome again
The limited shortcoming of original programming device gate circuit number.
4. according to claim 1 a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal transacting side
Method, it is characterised in that：The parameter of signal acquisition has sample frequency, sampling length, triggering mode and triggering level in step S2, ginseng
Number is decoded by address wire, and the mode of data wire multiplexing reaches FGPA, and parameter is preserved using latch function module.
5. according to claim 1 a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal transacting side
Method, it is characterised in that：In step S3 host computer convey to the order of FGPA and FGPA to send the data of host computer to be all logical
Cross USB to complete, host computer is the instruction source and home to return to of whole acquisition system, and it controls the running parameter of acquisition system
With working condition and finally receive gathered data.
6. according to claim 1 a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal transacting side
Method, it is characterised in that：In step S5 image expansion be image to obtain the relative and its own origin of B and by Z to image
Based on being shifted, by the set that B expansions are all displacement Z, so, and A at least one element is to overlap to A, hole
Hole filling is to be used for bianry image holes filling using the imfill in Matlab softwares, come for filling image-region and sky
Hole, region segmentation refers to that the data being analysed to carry out region division, data slot wherein interested is extracted do into
The treatment of one step, and other data are abandoned, the main purpose of region segmentation, it is the data volume for reducing subsequent treatment.
7. according to claim 1 a kind of by the feature enhancing of distributed optical fiber vibration signal pattern and signal transacting side
Method, it is characterised in that：It is using reading image file, then with graythreash function meters that image bone is extracted in step S6
Threshold calculations are calculated, original image is changed into bianry image using im2bw functions, call bwmorph functions to remove the border picture of object
Element, the image framework of rest of pixels composition simultaneously shows that the Fourier descriptor of image is extracted in the extraction of completion image bone
It is to calculate Fourier descriptor, and the master for passing through shape using the continuous fourier transform method based on Optimum Polygonal Approximation of Digital Curves
Direction eliminates border starting point phase effect.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107680063A (en) * | 2017-10-23 | 2018-02-09 | 西华大学 | A kind of Enhancement Method of direct digitization image |
| CN109583344A (en) * | 2018-11-21 | 2019-04-05 | 红相股份有限公司 | A kind of power equipment Infrared Image Processing Method based on deep learning |
| CN109945075A (en) * | 2019-03-07 | 2019-06-28 | 三川智慧科技股份有限公司 | A kind of water supply line leakiness detection method and device |
| CN110011729A (en) * | 2019-03-15 | 2019-07-12 | 国网北京市电力公司 | A kind of detection method of interference, device, storage medium and electronic device |
| CN110322421A (en) * | 2019-07-17 | 2019-10-11 | 刘恩希 | One kind being based on multimedia information processing method |
-
2017
- 2017-03-13 CN CN201710147638.1A patent/CN106874888A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107680063A (en) * | 2017-10-23 | 2018-02-09 | 西华大学 | A kind of Enhancement Method of direct digitization image |
| CN109583344A (en) * | 2018-11-21 | 2019-04-05 | 红相股份有限公司 | A kind of power equipment Infrared Image Processing Method based on deep learning |
| CN109945075A (en) * | 2019-03-07 | 2019-06-28 | 三川智慧科技股份有限公司 | A kind of water supply line leakiness detection method and device |
| CN110011729A (en) * | 2019-03-15 | 2019-07-12 | 国网北京市电力公司 | A kind of detection method of interference, device, storage medium and electronic device |
| CN110322421A (en) * | 2019-07-17 | 2019-10-11 | 刘恩希 | One kind being based on multimedia information processing method |
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