CN109813348A - A kind of distributed optical fiber sensing system and its control method - Google Patents

A kind of distributed optical fiber sensing system and its control method Download PDF

Info

Publication number
CN109813348A
CN109813348A CN201910091098.9A CN201910091098A CN109813348A CN 109813348 A CN109813348 A CN 109813348A CN 201910091098 A CN201910091098 A CN 201910091098A CN 109813348 A CN109813348 A CN 109813348A
Authority
CN
China
Prior art keywords
parallel
digital signal
baseband digital
signal
unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910091098.9A
Other languages
Chinese (zh)
Other versions
CN109813348B (en
Inventor
喻强
吕立冬
张刚
张增华
王玮
虞跃
刘川
李炳林
郭经红
刘伟麟
吴鹏
陶静
黄在朝
张�浩
刘世栋
卜宪德
姚继明
郭云飞
邓辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
Global Energy Interconnection Research Institute
Original Assignee
State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
Global Energy Interconnection Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Zhejiang Electric Power Co Ltd, Global Energy Interconnection Research Institute filed Critical State Grid Corp of China SGCC
Priority to CN201910091098.9A priority Critical patent/CN109813348B/en
Publication of CN109813348A publication Critical patent/CN109813348A/en
Application granted granted Critical
Publication of CN109813348B publication Critical patent/CN109813348B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Optical Communication System (AREA)

Abstract

The present invention relates to a kind of distributed optical fiber sensing system and its control method, the system comprises: high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device unit and signal extraction and computing unit;The high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device unit and signal extraction and computing unit are sequentially connected.Technical solution provided by the invention, reduce the various noise jammings that multiple external function modules introduce in traditional scheme, the integrated level for increasing system substantially reduces the time of signal analysis, to improve the Stability and dependability of distributed optical fiber sensing system.

Description

A kind of distributed optical fiber sensing system and its control method
Technical field
The present invention relates to Distributed Optical Fiber Sensing Techniques fields, and in particular to a kind of distributed optical fiber sensing system and its control Method processed.
Background technique
Optical fiber acts not only as the transmission medium of light wave, and when light wave is propagated in a fiber, characterizes the spy of light wave Parameter (amplitude, phase, polarization state, wavelength etc.) is levied because of the effect of extraneous factor (such as temperature, pressure, magnetic field, electric field, displacement) And cither indirectly or directly change, so as to which optical fiber is detected various (physical quantitys, chemical quantity to be measured as sensing element With biomass etc.), here it is the basic principles of fibre optical sensor.
Modern information technologies are made of the acquisition, transmission and processing technique of information, therefore sensor, communication and computer Technology becomes three big pillars of information technology.Especially today's society has entered the information using Fibre Optical Communication Technology as main feature Epoch, optical fiber sensing technology represent the development trend of new generation sensor.
According to measurement method difference, fibre optical sensor is divided into two kinds of point type and distribution.Distributed fiberoptic sensor has The ability for extracting the distributed intelligence of large-range measuring field, is able to solve numerous problems of current fields of measurement.Wherein distributed light Fine temperature sensor can be used for the temperature of the big or long equipment of such as large-scale power transformer, high-tension network, skyscraper Distribution measuring and monitoring.It is real-time, steady with deepening continuously for the Distributed Optical Fiber Sensing Techniques research based on Brillouin scattering Qualitative, good reliability and high-precision distributed sensing system will obtain bigger development.
Current Distributed Optical Fiber Sensing Techniques, the one-shot measurement time is longer, if whole channels are swept in multi-channel system Retouching one time period will be longer, will produce bigger effect to the real-time of sensor-based system in this way;Further, since signal processing Module is built using discrete component, and introduces additional scan module, can be introduced to entire digital signal processing channel External noise, to make what faint reflection signal originally became to be more difficult identification and judge.
Summary of the invention
In view of the deficiencies of the prior art, the purpose of the present invention is by utilizing high-speed a/d parallel acquisition unit, the lower change of number Frequency device, parallel cumulative mean device unit, signal extraction and computing unit and control unit construct distributed optical fiber sensing system, subtract The various noise jammings that multiple external function modules introduce in traditional scheme are lacked, have increased the integrated level of system, greatly shorten The time of signal analysis, to improve the Stability and dependability of distributed optical fiber sensing system.
The purpose of the present invention is adopt the following technical solutions realization:
A kind of distributed optical fiber sensing system, it is improved in that the system comprises: high-speed a/d parallel acquisition list Member, digital down converter, parallel cumulative mean device unit and signal extraction and computing unit;
The high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device unit and signal extraction and meter Unit is calculated to be sequentially connected;
The high-speed a/d parallel acquisition unit, for received analog electrical signal to be converted into the number of 4 tunnel outs of phase Signal, by the digital signal of 4 tunnel out of phase by phase sequential combination at a serial samples stream, and by the serial Sample stream is exported to the digital down converter;
The digital down converter, for changing the circulation of received serial samples into multiple parallel baseband digital signals, And the multiple parallel baseband digital signal is exported to the parallel cumulative mean device unit;
The parallel cumulative mean device unit, for obtaining each base in the multiple parallel baseband digital signal respectively Average value with digital signal, and the average value of each baseband digital signal in the multiple parallel baseband digital signal is defeated Out to signal extraction and computing unit;
The signal extraction and computing unit, for each base-band digital in the multiple parallel baseband digital signal The average value of signal carries out Fast Fourier Transform (FFT), obtains each baseband digital signal in the multiple parallel baseband digital signal Average value frequency spectrum, and the frequency spectrum of the average value of each baseband digital signal in the multiple parallel baseband digital signal is intended Synthesize Lorentz curve.
Preferably, the high-speed a/d parallel acquisition unit, comprising: when amplifying circuit, four ADC chips in parallel, number Clock management module and A/D sampled value buffer area;
The amplifying circuit, for the analog electrical signal that photodetector provides to be amplified and is filtered, and will amplification Four parallel ADC chips are respectively transmitted to filtered analog electrical signal;
The digital dock management module, for be respectively four ADC chips in parallel provide 0 degree of phase clock signal, 90 degree of phase clock signals, 180 degree phase clock signal and 270 degree of phase clock signals;
Phase is the amplification and filtering of x degree if the phase for received clock signal is x degree by the ADC chip Analog electrical signal afterwards is converted to digital signal, wherein x 0,90,180 or 270;
A/D sampled value buffer area, for be 0 degree by phase, 90 degree, 180 degree and 270 degree of digital signal be by phase Sequential combination is exported at a serial samples stream, and by the serial samples stream to the digital down converter.
Further, the sample rate and resolution ratio of the ADC chip are respectively 250MSPS and 16bit;
The model AD9467-250 or AD9652 of the ADC chip;
The digital dock management module is PLL the or DCM unit inside Xilinx FPGA.
Preferably, the parallel cumulative mean device unit is composed in parallel by m cumulative mean device.
Further, the digital down converter, is used for:
Mixing operations, FIR filtering operation and extract operation are successively carried out to received serial samples stream, obtain m parallel Baseband digital signal, and the m parallel baseband digital signals are exported respectively to the parallel cumulative mean device unit Middle m parallel cumulative mean devices, wherein m is positive integer and m > 1.
Specifically, the signal extraction and computing unit, comprising: m FFT time-frequency conversion module and Lorentz curve fitting And analysis module;
The FFT time-frequency conversion module, for 1 baseband digital signal in the m parallel baseband digital signal Average value carry out Fast Fourier Transform (FFT), obtain the frequency spectrum of the average value of the baseband digital signal;
The Lorentz curve fitting and analysis module, are used for each base-band digital in m parallel baseband digital signal The Spectrum Fitting of the average value of signal is at Lorentz curve.
Specifically, the FFT time-frequency conversion module is the FFT IP CORE of Xilinx FPGA;
The execution logic of the Lorentz curve fitting and analytical unit is write using VHDL or Verilog language.
Preferably, the system, further includes: control unit;
Described control unit respectively with the high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device Unit and signal extraction are connect with computing unit;
Described control unit, for controlling high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device Unit and signal extraction and computing unit execute sequence.
Further, described control unit is specifically used for:
When high-speed a/d parallel acquisition unit receives analog electrical signal, control high-speed a/d parallel acquisition unit will be received Analog electrical signal be converted into the digital signals of 4 tunnel outs of phase, the digital signal of 4 tunnel out of phase is pressed into phase bit timing It is combined into a serial samples stream, and the serial samples stream is exported to the digital down converter;
When digital down converter receives serial samples stream, received sample streams are converted by control digital down converter Multiple parallel baseband digital signals, and the multiple parallel baseband digital signal is exported to the parallel cumulative mean device Unit;
When parallel cumulative mean device unit receives multiple parallel baseband digital signals, parallel cumulative mean device is controlled Unit obtains the average value of each baseband digital signal in the multiple parallel baseband digital signal respectively, and will be the multiple The average value of each baseband digital signal is exported to signal extraction and computing unit in parallel baseband digital signal;
Believe when the signal extraction and computing unit receive each base-band digital in multiple parallel baseband digital signals Number average value when, control signal extraction and computing unit to each base-band digital in the multiple parallel baseband digital signal The average value of signal carries out Fast Fourier Transform (FFT), obtains each baseband digital signal in the multiple parallel baseband digital signal Average value frequency spectrum, and the frequency spectrum of the average value of each baseband digital signal in the multiple parallel baseband digital signal is intended Synthesize Lorentz curve.
A kind of control method of distributed optical fiber sensing system, it is improved in that the described method includes:
S1. the number of iterations n=0, n ∈ [1, N] are initialized;
S2. control unit controls high-speed a/d parallel acquisition unit and received analog electrical signal is converted into 4 tunnel outs of phase Digital signal, by the digital signal of 4 tunnel out of phase by phase sequential combination at a serial samples stream, and will be described Serial samples stream is exported to the digital down converter;
S3. control unit control digital down converter successively carries out mixing operations, FIR filter to received serial digital signal Wave operation and extract operation obtain m parallel baseband digital signals, and the m parallel baseband digital signals are distinguished M parallel cumulative mean devices are exported into the parallel cumulative mean device unit;
Wherein, m is positive integer and m > 1;
S4. control unit judges whether the number of iterations n is equal to N, if n is equal to N, thens follow the steps S5;If n is not equal to N, N=n+1 is enabled, and executes step S2;
S5. control unit controls parallel cumulative mean device unit and is obtained in the m parallel baseband digital signals respectively The average value of each baseband digital signal, and by the m parallel baseband digital signals each baseband digital signal it is flat Mean value is exported to signal extraction and computing unit;
S6. control unit control signal extraction and computing unit are to each base in the m parallel baseband digital signals Average value with digital signal carries out Fast Fourier Transform (FFT), obtains each base band number in the m parallel baseband digital signal The frequency spectrum of the average value of word signal, and by the average value of each baseband digital signal in the m parallel baseband digital signal Spectrum Fitting is at Lorentz curve.
Compared with the immediate prior art, the invention has the benefit that
Technical solution provided by the invention is put down by high-speed a/d parallel acquisition unit, digital down converter, parallel add up Equal device unit, signal extraction and computing unit and control unit construct distributed optical fiber sensing system, reduce in traditional scheme The various noise jammings that multiple external function modules introduce, increase the integrated level of system, substantially reduce signal analysis when Between, to improve the Stability and dependability of distributed optical fiber sensing system;
Technical solution provided by the invention can be right by using high-speed a/d parallel acquisition unit and digital down converter The signal of m frequency range can carry out parallel processing after one acquisition, the original processing time be shorten to 1/m, to contract significantly The short signal extraction time.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of distributed optical fiber sensing system in the embodiment of the present invention;
Fig. 2 is a kind of distributed optical fiber sensing system high speed A/D parallel acquisition unit in the embodiment of the present invention, parallel tired Add the structural schematic diagram of averager unit and signal extraction and computing unit;
Fig. 3 is putting in a kind of high-speed a/d parallel acquisition unit of distributed optical fiber sensing system in the embodiment of the present invention The structural schematic diagram of big circuit;
Fig. 4 is the A/D in the embodiment of the present invention in a kind of high-speed a/d parallel acquisition unit of distributed optical fiber sensing system The working principle diagram of sampled value buffer area;
Fig. 5 is a kind of structural schematic diagram of digital down converter in distributed optical fiber sensing system in the embodiment of the present invention;
Fig. 6 is a kind of another structural schematic diagram of distributed optical fiber sensing system in the embodiment of the present invention;
Fig. 7 is a kind of flow diagram of the control method of distributed optical fiber sensing system in the embodiment of the present invention.
Specific embodiment
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawing.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art All other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
The present invention provides a kind of distributed optical fiber sensing systems, as shown in Figure 1, the system comprises: high-speed a/d is parallel Acquisition unit, digital down converter, parallel cumulative mean device unit and signal extraction and computing unit;
The high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device unit and signal extraction and meter Unit is calculated to be sequentially connected;
The high-speed a/d parallel acquisition unit, for received analog electrical signal to be converted into the number of 4 tunnel outs of phase Signal, by the digital signal of 4 tunnel out of phase by phase sequential combination at a serial samples stream, and by the serial Sample stream is exported to the digital down converter;
The digital down converter, for changing the circulation of received serial samples into multiple parallel baseband digital signals, And the multiple parallel baseband digital signal is exported to the parallel cumulative mean device unit;
The parallel cumulative mean device unit, for obtaining each base in the multiple parallel baseband digital signal respectively Average value with digital signal, and the average value of each baseband digital signal in the multiple parallel baseband digital signal is defeated Out to signal extraction and computing unit;
The signal extraction and computing unit, for each base-band digital in the multiple parallel baseband digital signal The average value of signal carries out Fast Fourier Transform (FFT), obtains each baseband digital signal in the multiple parallel baseband digital signal Average value frequency spectrum, and the frequency spectrum of the average value of each baseband digital signal in the multiple parallel baseband digital signal is intended Synthesize Lorentz curve.
Further, as shown in Fig. 2, the high-speed a/d parallel acquisition unit, comprising: amplifying circuit, four it is in parallel ADC chip, digital dock management module and A/D sampled value buffer area;
The amplifying circuit, for the analog electrical signal that photodetector provides to be amplified and is filtered, and will amplification Four parallel ADC chips are respectively transmitted to filtered analog electrical signal, for example, as shown in Figure 3;
The digital dock management module, for be respectively four ADC chips in parallel provide 0 degree of phase clock signal, 90 degree of phase clock signals, 180 degree phase clock signal and 270 degree of phase clock signals;
Phase is the amplification and filtering of x degree if the phase for received clock signal is x degree by the ADC chip Analog electrical signal afterwards is converted to digital signal, wherein x 0,90,180 or 270;
A/D sampled value buffer area, for be 0 degree by phase, 90 degree, 180 degree and 270 degree of digital signal be by phase Sequential combination is exported at a serial samples stream, and by the serial samples stream to the digital down converter;For example, such as Fig. 4 It is shown.
Specifically, the sample rate and resolution ratio of the ADC chip are respectively 250MSPS and 16bit;
The model AD9467-250 or AD9652 of the ADC chip;
The digital dock management module is PLL the or DCM unit inside Xilinx FPGA.
Further, as shown in Fig. 2, the parallel cumulative mean device unit is composed in parallel by m cumulative mean device.
Further, as shown in figure 5, the digital down converter, is used for:
Mixing operations, FIR filtering operation and extract operation are successively carried out to received serial samples stream, obtain m parallel Baseband digital signal, and the m parallel baseband digital signals are exported respectively to the parallel cumulative mean device unit Middle m parallel cumulative mean devices, wherein m is positive integer and m > 1.
Further, as shown in Fig. 2, the signal extraction and computing unit, comprising: m FFT time-frequency conversion module and Lip river Human relations hereby curve matching and analysis module;
The FFT time-frequency conversion module, for 1 baseband digital signal in the m parallel baseband digital signal Average value carry out Fast Fourier Transform (FFT), obtain the frequency spectrum of the average value of the baseband digital signal;
The Lorentz curve fitting and analysis module, are used for each base-band digital in m parallel baseband digital signal The Spectrum Fitting of the average value of signal is at Lorentz curve.
Specifically, the FFT time-frequency conversion module is the FFT IP CORE of Xilinx FPGA;
The execution logic of the Lorentz curve fitting and analytical unit is write using VHDL or Verilog language.
Preferably, as shown in fig. 6, the system, further includes: control unit;
Described control unit respectively with the high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device Unit and signal extraction are connect with computing unit;
Described control unit, for controlling high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device Unit and signal extraction and computing unit execute sequence.
Further, described control unit is specifically used for:
When high-speed a/d parallel acquisition unit receives analog electrical signal, control high-speed a/d parallel acquisition unit will be received Analog electrical signal be converted into the digital signals of 4 tunnel outs of phase, the digital signal of 4 tunnel out of phase is pressed into phase bit timing It is combined into a serial samples stream, and the serial samples stream is exported to the digital down converter;
When digital down converter receives serial samples stream, received sample streams are converted by control digital down converter Multiple parallel baseband digital signals, and the multiple parallel baseband digital signal is exported to the parallel cumulative mean device Unit;
When parallel cumulative mean device unit receives multiple parallel baseband digital signals, parallel cumulative mean device is controlled Unit obtains the average value of each baseband digital signal in the multiple parallel baseband digital signal respectively, and will be the multiple The average value of each baseband digital signal is exported to signal extraction and computing unit in parallel baseband digital signal;
Believe when the signal extraction and computing unit receive each base-band digital in multiple parallel baseband digital signals Number average value when, control signal extraction and computing unit to each base-band digital in the multiple parallel baseband digital signal The average value of signal carries out Fast Fourier Transform (FFT), obtains each baseband digital signal in the multiple parallel baseband digital signal Average value frequency spectrum, and the frequency spectrum of the average value of each baseband digital signal in the multiple parallel baseband digital signal is intended Synthesize Lorentz curve.
Technical solution provided in this embodiment, by the Brillouin signal detection and processing in traditional BOTDR system Module improves and optimizes, and introduces one Digital Down Convert of key technology (DDC) technology in software and radio technique, substitution Traditional scan module can carry out parallel processing after one acquisition to the signal of m frequency range, the original processing time is contracted Short is 1/m, to substantially reduce the signal extraction time;
In addition, by being introduced into using digital dock management module (DCM) and in DDC module using digital technology DDS frequency combining method, to reflection signal processing all use digital means, in traditional scheme using simulation addend word Signal processing mode be optimized, when having that frequency resolution is high, frequency switching time is short and frequency shift, output phase Position is continuous to wait remarkable advantages.
The present invention also provides a kind of control methods of distributed optical fiber sensing system, as shown in Figure 7, which comprises
101. initializing the number of iterations n=0, n ∈ [1, N];
102. control unit, which controls high-speed a/d parallel acquisition unit, is converted into 4 tunnel difference phases for received analog electrical signal The digital signal of position, by the digital signal of 4 tunnel out of phase by phase sequential combination at a serial samples stream, and by institute Serial samples stream is stated to export to the digital down converter;
103. control unit control digital down converter successively carries out mixing operations, FIR to received serial digital signal Filtering operation and extract operation obtain m parallel baseband digital signals, and the m parallel baseband digital signals are divided Cumulative mean device that Shu Chu be m not parallel into the parallel cumulative mean device unit;
Wherein, m is positive integer and m > 1;
104. control unit judges whether the number of iterations n is equal to N, if n is equal to N, 105 are thened follow the steps;If n is not equal to N, N=n+1 is then enabled, and executes step 102;
105. control unit controls parallel cumulative mean device unit and is obtained in the m parallel baseband digital signals respectively The average value of each baseband digital signal, and by the m parallel baseband digital signals each baseband digital signal it is flat Mean value is exported to signal extraction and computing unit;
106. control unit controls signal extraction and computing unit to each base in the m parallel baseband digital signals Average value with digital signal carries out Fast Fourier Transform (FFT), obtains each base band number in the m parallel baseband digital signal The frequency spectrum of the average value of word signal, and by the average value of each baseband digital signal in the m parallel baseband digital signal Spectrum Fitting is at Lorentz curve.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
Finally it should be noted that: the above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent Invention is explained in detail referring to above-described embodiment for pipe, it should be understood by those ordinary skilled in the art that: still It can be with modifications or equivalent substitutions are made to specific embodiments of the invention, and without departing from any of spirit and scope of the invention Modification or equivalent replacement, should all cover within the scope of the claims of the present invention.

Claims (10)

1. a kind of distributed optical fiber sensing system, which is characterized in that the system comprises: high-speed a/d parallel acquisition unit, number Low-converter, parallel cumulative mean device unit and signal extraction and computing unit member;
The high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device unit and signal extraction and calculating are single Member is sequentially connected;
The high-speed a/d parallel acquisition unit, the number for received analog electrical signal to be converted into 4 tunnel outs of phase are believed Number, by the digital signal of 4 tunnel out of phase by phase sequential combination at a serial samples stream, and by the serial samples Stream is exported to the digital down converter;
The digital down converter, for changing the circulation of received serial samples into multiple parallel baseband digital signals, and will The multiple parallel baseband digital signal is exported to the parallel cumulative mean device unit;
The parallel cumulative mean device unit, for obtaining each base band number in the multiple parallel baseband digital signal respectively The average value of word signal, and by the average value of each baseband digital signal in the multiple parallel baseband digital signal export to Signal extraction and computing unit;
The signal extraction and computing unit, for each baseband digital signal in the multiple parallel baseband digital signal Average value carry out Fast Fourier Transform (FFT), obtain the flat of each baseband digital signal in the multiple parallel baseband digital signal The frequency spectrum of mean value, and by the Spectrum Fitting of the average value of each baseband digital signal in the multiple parallel baseband digital signal at Lorentz curve.
2. the system as claimed in claim 1, which is characterized in that the high-speed a/d parallel acquisition unit, comprising: amplifying circuit, Four ADC chips in parallel, digital dock management module and A/D sampled value buffer area;
The amplifying circuit, for the analog electrical signal that photodetector provides to be amplified and is filtered, and will amplification and filter Analog electrical signal after wave is respectively transmitted to four parallel ADC chips;
The digital dock management module, for being respectively that four ADC chips in parallel provide 0 degree of phase clock signal, 90 degree Phase clock signal, 180 degree phase clock signal and 270 degree of phase clock signals;
Phase is the amplification of x degree and filtered if the phase for received clock signal is x degree by the ADC chip Analog electrical signal is converted to digital signal, wherein x 0,90,180 or 270;
A/D sampled value buffer area, for be 0 degree by phase, 90 degree, 180 degree and 270 degree of digital signal be by phase bit timing It is combined into a serial samples stream, and the serial samples stream is exported to the digital down converter.
3. system as claimed in claim 2, which is characterized in that the sample rate and resolution ratio of the ADC chip be respectively 250MSPS and 16bit;
The model AD9467-250 or AD9652 of the ADC chip;
The digital dock management module is PLL the or DCM unit inside Xilinx FPGA.
4. the system as claimed in claim 1, which is characterized in that the parallel cumulative mean device unit is by m cumulative mean device It composes in parallel.
5. system as claimed in claim 4, which is characterized in that the digital down converter is used for:
Mixing operations, FIR filtering operation and extract operation are successively carried out to received serial samples stream, obtain m parallel bases Band digital signal, and the m parallel baseband digital signals are exported respectively into the parallel cumulative mean device unit m Parallel cumulative mean device, wherein m is positive integer and m > 1.
6. system as claimed in claim 5, which is characterized in that the signal extraction and computing unit, comprising: m FFT time-frequency Conversion module and Lorentz curve fitting and analysis module;
The FFT time-frequency conversion module, for the flat of 1 baseband digital signal in the m parallel baseband digital signal Mean value carries out Fast Fourier Transform (FFT), obtains the frequency spectrum of the average value of the baseband digital signal;
The Lorentz curve fitting and analysis module, are used for each baseband digital signal in m parallel baseband digital signal Average value Spectrum Fitting at Lorentz curve.
7. system as claimed in claim 6, which is characterized in that the FFT time-frequency conversion module is the FFT of Xilinx FPGA IP CORE;
The execution logic of the Lorentz curve fitting and analytical unit is write using VHDL or Verilog language.
8. the system as claimed in claim 1, which is characterized in that the system, further includes: control unit;
Described control unit respectively with the high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device unit It is connect with signal extraction with computing unit;
Described control unit, for controlling high-speed a/d parallel acquisition unit, digital down converter, parallel cumulative mean device unit Sequence is executed with signal extraction and computing unit.
9. system as claimed in claim 8, which is characterized in that described control unit is specifically used for:
When high-speed a/d parallel acquisition unit receives analog electrical signal, high-speed a/d parallel acquisition unit is controlled by received mould Quasi- electric signal is converted into the digital signal of 4 tunnel outs of phase, and the digital signal of 4 tunnel out of phase is pressed phase sequential combination It exports at a serial samples stream, and by the serial samples stream to the digital down converter;
When digital down converter receives serial samples stream, received sample streams are converted into multiple by control digital down converter Parallel baseband digital signal, and the multiple parallel baseband digital signal is exported to the parallel cumulative mean device list Member;
When parallel cumulative mean device unit receives multiple parallel baseband digital signals, parallel cumulative mean device unit is controlled The average value of each baseband digital signal in the multiple parallel baseband digital signal is obtained respectively, and will be the multiple parallel Baseband digital signal in the average value of each baseband digital signal export to signal extraction and computing unit;
When the signal extraction and computing unit receive each baseband digital signal in multiple parallel baseband digital signals When average value, signal extraction and computing unit are controlled to each baseband digital signal in the multiple parallel baseband digital signal Average value carry out Fast Fourier Transform (FFT), obtain the flat of each baseband digital signal in the multiple parallel baseband digital signal The frequency spectrum of mean value, and by the Spectrum Fitting of the average value of each baseband digital signal in the multiple parallel baseband digital signal at Lorentz curve.
10. a kind of control method of such as described in any item distributed optical fiber sensing systems of claim 1-9, which is characterized in that The described method includes:
S1. the number of iterations n=0, n ∈ [1, N] are initialized;
S2. received analog electrical signal is converted into the number of 4 tunnel outs of phase by control unit control high-speed a/d parallel acquisition unit Word signal, by the digital signal of 4 tunnel out of phase by phase sequential combination at a serial samples stream, and will be described serial Sample streams are exported to the digital down converter;
S3. control unit control digital down converter successively carries out mixing operations, FIR filtering fortune to received serial digital signal Calculation and extract operation obtain m parallel baseband digital signals, and the m parallel baseband digital signals are exported respectively To m parallel cumulative mean devices in the parallel cumulative mean device unit;
Wherein, m is positive integer and m > 1;
S4. control unit judges whether the number of iterations n is equal to N, if n is equal to N, thens follow the steps S5;If n is not equal to N, n is enabled =n+1, and execute step S2;
S5. control unit controls parallel cumulative mean device unit and is obtained in the m parallel baseband digital signals respectively each The average value of baseband digital signal, and by the average value of each baseband digital signal in the m parallel baseband digital signals It exports to signal extraction and computing unit;
S6. control unit control signal extraction and computing unit are to each base band number in the m parallel baseband digital signals The average value of word signal carries out Fast Fourier Transform (FFT), obtains each base-band digital letter in the m parallel baseband digital signal Number average value frequency spectrum, and by the frequency spectrum of the average value of each baseband digital signal in the m parallel baseband digital signal It is fitted to Lorentz curve.
CN201910091098.9A 2019-01-30 2019-01-30 Distributed optical fiber sensing system and control method thereof Active CN109813348B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910091098.9A CN109813348B (en) 2019-01-30 2019-01-30 Distributed optical fiber sensing system and control method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910091098.9A CN109813348B (en) 2019-01-30 2019-01-30 Distributed optical fiber sensing system and control method thereof

Publications (2)

Publication Number Publication Date
CN109813348A true CN109813348A (en) 2019-05-28
CN109813348B CN109813348B (en) 2023-01-24

Family

ID=66605830

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910091098.9A Active CN109813348B (en) 2019-01-30 2019-01-30 Distributed optical fiber sensing system and control method thereof

Country Status (1)

Country Link
CN (1) CN109813348B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112104414A (en) * 2020-08-07 2020-12-18 武汉光迅科技股份有限公司 Transmission medium detection method, device and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0191589A2 (en) * 1985-02-08 1986-08-20 The Board Of Trustees Of The Leland Stanford Junior University Coherent distributed sensor and method using short coherence length sources
CN101672700A (en) * 2009-09-27 2010-03-17 上海华魏光纤传感技术有限公司 Distributed temperature measuring A/D acquisition card based on FPGA and acquisition method thereof
CN102384799A (en) * 2011-09-29 2012-03-21 国电南京自动化股份有限公司 Frequency sweeping and data processing method based on Brillouin distributed fiber sensing system correlation detection scheme
CN103148878A (en) * 2013-01-09 2013-06-12 中国电力科学研究院 Brillouin optical time domain reflectormeter method and device based on parallel data processing technique
CN106909114A (en) * 2017-05-04 2017-06-30 南昌航空大学 A kind of SDRAM distributing optical fiber sensings data acquisition based on FPGA, storage and processing system
EP3207340A1 (en) * 2014-10-16 2017-08-23 NEC Laboratories America, Inc. Distributed brillouin sensing using correlation
CN107402082A (en) * 2016-05-20 2017-11-28 北京自动化控制设备研究所 A kind of brillouin scattering signal processing method and its distributed optical fiber sensing system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0191589A2 (en) * 1985-02-08 1986-08-20 The Board Of Trustees Of The Leland Stanford Junior University Coherent distributed sensor and method using short coherence length sources
CN101672700A (en) * 2009-09-27 2010-03-17 上海华魏光纤传感技术有限公司 Distributed temperature measuring A/D acquisition card based on FPGA and acquisition method thereof
CN102384799A (en) * 2011-09-29 2012-03-21 国电南京自动化股份有限公司 Frequency sweeping and data processing method based on Brillouin distributed fiber sensing system correlation detection scheme
CN103148878A (en) * 2013-01-09 2013-06-12 中国电力科学研究院 Brillouin optical time domain reflectormeter method and device based on parallel data processing technique
EP3207340A1 (en) * 2014-10-16 2017-08-23 NEC Laboratories America, Inc. Distributed brillouin sensing using correlation
CN107402082A (en) * 2016-05-20 2017-11-28 北京自动化控制设备研究所 A kind of brillouin scattering signal processing method and its distributed optical fiber sensing system
CN106909114A (en) * 2017-05-04 2017-06-30 南昌航空大学 A kind of SDRAM distributing optical fiber sensings data acquisition based on FPGA, storage and processing system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112104414A (en) * 2020-08-07 2020-12-18 武汉光迅科技股份有限公司 Transmission medium detection method, device and storage medium
CN112104414B (en) * 2020-08-07 2022-03-11 武汉光迅科技股份有限公司 Transmission medium detection method, device and storage medium

Also Published As

Publication number Publication date
CN109813348B (en) 2023-01-24

Similar Documents

Publication Publication Date Title
CN104076319B (en) Online error analysis system of digitized electric energy metering device
CN107677982A (en) A kind of digitalized electrical energy meter on-site calibrating method and device
CN101881790A (en) Intelligent electric power parameter tester
CN108196485A (en) SoC chip structure applied to chip atomic clock control system
CN106546846A (en) Electric energy quality signal detection means based on compressed sensing blind Source Separation Technology
CN109254218A (en) A kind of multiport measurement vector network analyzer
CN201464092U (en) Wireless stress tester of hydroelectric generator set
CN109443390A (en) A kind of Together, digital gyroscope phase delay test macro
CN103033675A (en) Alternating current synchronous collecting system and achieving method thereof
CN102540146B (en) Configurable digital correlator for complete polarization microwave radiometer system
CN103905179A (en) Method and device for dynamically adjusting phase of electric trigger clock
CN204679101U (en) The parameter test system of frequency-conversion and speed-regulation motor
CN106525038A (en) Small-size optical fiber IMU collecting system for navigation attitude measurement and collecting method thereof
CN104848890A (en) Parameter testing system for variable frequency speed-regulating motor
CN101295324A (en) Electrical data capturing and processing method
CN109813348A (en) A kind of distributed optical fiber sensing system and its control method
CN104569899A (en) High-accuracy high-voltage direct-current transformer calibrator
CN101604957A (en) A kind of PGC complex demodulation method for large-scale optical fiber hydrophone array
CN202720273U (en) High-precision phase difference detection device
CN102508028A (en) Device and method for detecting and analyzing harmonic
CN104749391A (en) Speed measuring system and method based on three-axis acceleration sensor
CN106093837A (en) A kind of assess digitalized electrical energy meter method of measuring accuracy under complex working condition
CN207352394U (en) A kind of data acquisition device of recording instrument without paper
CN107560645A (en) A kind of fiber Bragg grating sensor Wavelength demodulation Peak Search Method
CN201966923U (en) Signal processing unit of external field tester

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant