CN117848541A - Method for self-adapting optical fiber of distributed optical fiber temperature measurement system - Google Patents
Method for self-adapting optical fiber of distributed optical fiber temperature measurement system Download PDFInfo
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Abstract
The invention provides a method for self-adapting optical fibers of a distributed optical fiber temperature measurement system, which is characterized in that an external temperature sensing optical fiber is correctly connected to the system, and the system sequentially performs equipment constant temperature, laser power data acquisition, data averaging and laser power selection to finally obtain a power value of a proper current optical fiber. The beneficial effects of the invention are as follows: the equipment is adopted for constant temperature treatment, so that the stability of the inside of the system is ensured, and the system has an effective reference temperature; the laser power data acquisition and processing can be adapted to more temperature sensing optical fiber sensors, and the problem that different temperature sensing optical fiber sensors are adapted to different laser powers can be solved. And the data average processing is adopted to perform signal average at different times, so that short-time data fluctuation interference is reduced. By adopting laser power selection processing and comparing front data and rear data of original data, the stimulated Raman scattering phenomenon of different lasers on the temperature sensing optical fiber sensor can be calculated, and the laser power with the minimum stimulated Raman scattering phenomenon can be found.
Description
Technical Field
The invention relates to the field of optical fiber matching of temperature measuring systems, in particular to a method for self-adapting optical fibers of a distributed optical fiber temperature measuring system.
Background
The principle of the distributed optical fiber temperature measurement technology is to measure the temperature change distributed along the optical fiber by utilizing the Raman scattering effect. The laser emits a beam of light, the light enters the temperature sensing optical fiber after being modulated by the optical module, and temperature signals distributed along the optical fiber can be obtained by detecting the back scattered light information in the optical fiber.
The distributed optical fiber temperature signal logging is a technology for analyzing surrounding stratum characteristics or underground events by sensing temperature signals of different stratum by using optical fibers, and has the advantages of strong real-time monitoring result, high reliability of interpretation result and the like. However, when the distributed optical fiber temperature measuring system faces different scenes in use, different optical fiber sensors are used, the distributed optical fiber temperature measuring system uses the same parameter to connect different optical fiber sensors for measuring temperature, and the measured temperature data has large difference. Therefore, research is very important to develop a method and software development for adaptive optical fibers of a distributed optical fiber system.
The integration level of the sensor unit and the data acquisition unit of the common electrical temperature measuring instrument is high, and the characteristics of the sensor are not easy to change, so that the electrical temperature measurement is reasonable to directly generate temperature data at the equipment side. The distributed optical fiber temperature measuring system takes the temperature sensing optical fiber as a sensing unit, the optical fiber is connected with a temperature measuring host through a connector, and different temperature sensing optical fibers have different properties, so that the temperature sensing optical fiber temperature measuring system is used as intensity sensitive equipment, and the differences are reflected on the distributed optical fiber temperature measuring equipment to cause temperature differences. If the resolving temperature is directly carried out on the equipment side depending on preset parameters, the demodulation temperature difference is larger.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a method for self-adapting optical fibers of a distributed optical fiber temperature measurement system.
The invention solves the problems that: the problem that the system is matched and adapted with different temperature sensing optical fibers is solved; the problem of stimulated Raman scattering phenomenon caused by the change of the characteristic parameters of the optical fiber is solved. The simple manual interaction realizes the automatic modification of the matching parameters of different temperature sensing optical fibers.
The aim of the invention is achieved by the following technical scheme. A method for self-adapting optical fiber of a distributed optical fiber temperature measurement system comprises the following steps:
(1) And (3) equipment connection: the equipment side is normally connected with the long-distance optical fiber for collecting data, so that the interface is ensured to be unified without foreign matter influence;
(2) And (3) equipment constant temperature: the equipment inquires the temperature of the internal temperature control module according to the interval of every P seconds, calculates the difference value of the temperatures of the adjacent temperature control modules, waits for the next step after the continuous Q times of difference values are smaller than 0.02 ℃, and inquires all the time if not;
(3) Laser power data acquisition: setting the laser power as M different values respectively, and collecting N times of optical original information, namely Stokes data and anti-Stokes data after Raman scattering, under the M laser powers respectively;
(4) Data average: n times of optical original information collected under different laser powers, namely Stokes data and anti-Stokes data after Raman scattering, are calculated, and N times of data are averaged after the Stokes data are divided by the anti-Stokes data;
(5) Laser power selection: and (3) calculating the M groups of ratio data obtained in the step (4), dividing the summation values of the first 100 points in 200 points at the tail end of the ratio by the summation values of the last 100 points in 200 points at the head end of the ratio, taking a power value with the ratio closest to 1, and setting the power value of equipment as the value.
Furthermore, the equipment is at constant temperature, and comprises the following specific steps:
the equipment inquires the temperature of the internal temperature control module at intervals of 10 seconds, calculates the difference value of the temperatures of the adjacent temperature control modules, waits for 5 continuous times until the difference value is less than 0.02 ℃, confirms that the temperature of the constant temperature module is constant, and t c I is the acquisition times, when t c <0.02 for the next step;
furthermore, the laser power data acquisition comprises the following specific steps:
the laser powers are respectively set to 220, 230, 240, 250, 260 and 270 values, and the optical original information, namely Stokes data and anti-Stokes data after Raman scattering, is respectively acquired for 5 times under the 6 laser powers.
Further, the data averaging comprises the following specific steps: let the single stokes data and the inverse stokes data ratio be y=s Anti-Stokes /s Stokes Wherein s is Stokes For Stokes data s Anti-Stokes Is anti-Stokes data;
when 5 waveforms measured under different powers are overlapped, the obtained overlapped signal is expressed as i which is the acquisition times:
at this time, the noise is n i The signal-to-noise ratio is expressed as:
since the signal is unchanged, it can be obtaineds i As an input signal, due to uncorrelation between noise, it is possible toThe signal-to-noise ratio of the superimposed waveform is:
as the number of overlaps increases over time, the data signal to noise ratio will also increase.
Further, the laser power selection comprises the following specific steps: taking calculated ratio data under 9 groups of poweri is power value values 220, 230, 240, 250, 260, 270, 280, 290, 300;
calculating the offset of each ratio data:
selecting p nearest to 1 i Obtaining the value of i, and setting the power of the instrument as i.
The beneficial effects of the invention are as follows:
1. the equipment is subjected to constant temperature treatment, so that the temperature of a reference optical fiber part in the equipment is kept constant, the stability of the inside of a system can be ensured, and the equipment has an effective reference temperature;
2. the laser power data acquisition and processing are adopted to acquire the original optical signals with larger laser power range, so that more temperature sensing optical fiber sensors can be adapted, and the problem that different temperature sensing optical fiber sensors are adapted to different laser powers can be solved.
3. By adopting data average processing to average signals at different time, the jitter of the signals at a single time can be reduced, and short-time data fluctuation interference can be reduced.
4. By adopting laser power selection processing and comparing front data and rear data of original data, the stimulated Raman scattering phenomenon of different lasers on the temperature sensing optical fiber sensor can be calculated, and the laser power with the minimum stimulated Raman scattering phenomenon can be found.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Fig. 2 is a schematic diagram of a laser power data acquisition data graph.
Fig. 3 is a schematic diagram of data after averaging.
Detailed Description
In order that those skilled in the art will better understand the technical solutions of the present invention, preferred embodiments of the present invention will be described with reference to the accompanying drawings and specific examples.
The invention provides a method for self-adapting optical fibers of a distributed optical fiber temperature measuring system, which is shown in a figure 1, wherein after a device side confirms that a temperature sensing optical fiber is correctly connected, temperature stability test of an internal constant temperature module is firstly carried out, after temperature stability is ensured within a certain time, different laser powers of automatic devices of the system are used for collecting optical original signals, and the most suitable laser powers are selected for setting after averaging, dividing and ratio processing are carried out on the optical original signals collected under different laser powers, so that the adaptive temperature sensing optical fiber sensor is ensured not to generate stimulated Raman scattering phenomenon or to generate stimulated Raman scattering phenomenon at minimum.
1. And (3) equipment constant temperature: the equipment inquires the temperature of the internal temperature control module at intervals of 10 seconds, calculates the difference value of the temperatures of the adjacent temperature control modules, waits for 5 continuous times until the difference value is less than 0.02 ℃, confirms that the temperature of the constant temperature module is constant, and t c I is the acquisition times, when t c <0.02 for the next step;
and in a certain time range, the temperature of the temperature control module is inquired for a plurality of times, the temperature inquired is ensured to continuously and repeatedly wave in a certain range to indicate that the temperature control module is in a constant temperature state, and the internal system can be subjected to self-adaptive matching of the external temperature sensing optical fiber sensor after being in a stable state. Input: the temperature is queried by the constant temperature module for a plurality of times. And (3) outputting: and judging whether the flag bit is stable or not. The interference of the system on the optical original signals under different laser power conditions can be reduced by adopting equipment constant temperature.
2. Laser power data acquisition: as shown in fig. 2, the laser powers are respectively set to 220, 230, 240, 250, 260, 270, 280, 290 and 300 values, and 5 times of optical original information, namely stokes data and anti-stokes data after raman scattering, are respectively acquired at the 9 laser powers; input: different laser powers. And (3) outputting: optical raw data of stokes data and anti-stokes data. The large-range laser power can be suitable for more temperature-sensing optical fiber sensors with different parameters.
3. Data averaging: let the single stokes data and the inverse stokes data ratio be y=s Stokes /s Anti-Stokes Wherein s is Stokes For Stokes data s onti-Stokes Is anti-Stokes data;
when 5 waveforms measured under different powers are overlapped, the obtained overlapped signal is expressed as i which is the acquisition times:
at this time, the noise is n i The signal-to-noise ratio is expressed as:
since the signal is unchanged, it can be obtaineds i As an input signal, due to uncorrelation between noise, it is possible toThe signal-to-noise ratio of the superimposed waveform is:
as the number of overlaps increases over time, the data signal to noise ratio will also increase.
Input: optical raw signals acquired multiple times at different powers. And (3) outputting: the optical raw signals averaged at different powers are shown in fig. 3. By adopting time average processing to average signals at different times, the jitter of the signals at a single time can be reduced, and the short-time data fluctuation interference can be reduced.
4. Laser power selectionSelecting: taking calculated ratio data under 9 groups of poweri is power value values 220, 230, 240, 250, 260, 270, 280, 290, 300;
calculating the offset of each ratio data:
selecting p nearest to 1 i Obtaining the value of i. The power of the instrument is set to i.
Input: and the signals obtained by averaging a plurality of groups of optical original signals acquired for multiple times under different powers. And (3) outputting: optimum laser power. The setting of the optimal laser power can reduce the condition of sending stimulated Raman scattering phenomenon or does not generate stimulated Raman scattering phenomenon, thereby achieving the function of matching different temperature sensing optical fiber sensors.
It should be understood that equivalents and modifications to the technical scheme and the inventive concept of the present invention should fall within the scope of the claims appended hereto.
Claims (5)
1. A method for self-adapting optical fibers of a distributed optical fiber temperature measurement system is characterized by comprising the following steps: the method comprises the following steps:
(1) And (3) equipment connection: the equipment side is normally connected with the long-distance optical fiber for collecting data, so that the interface is ensured to be unified without foreign matter influence;
(2) And (3) equipment constant temperature: the equipment inquires the temperature of the internal temperature control module according to the interval of every P seconds, calculates the difference value of the temperatures of the adjacent temperature control modules, waits for the next step after the continuous Q times of difference values are smaller than 0.02 ℃, and inquires all the time if not;
(3) Laser power data acquisition: setting the laser power as M different values respectively, and collecting N times of optical original information, namely Stokes data and anti-Stokes data after Raman scattering, under the M laser powers respectively;
(4) Data average: n times of optical original information collected under different laser powers, namely Stokes data and anti-Stokes data after Raman scattering, are calculated, and N times of data are averaged after the Stokes data are divided by the anti-Stokes data;
(5) Laser power selection: and (3) calculating the M groups of ratio data obtained in the step (4), dividing the summation values of the first 100 points in 200 points at the tail end of the ratio by the summation values of the last 100 points in 200 points at the head end of the ratio, taking a power value with the ratio closest to 1, and setting the power value of equipment as the value.
2. The method of adapting an optical fiber for a distributed optical fiber temperature measurement system of claim 1, wherein: the equipment is at constant temperature, and comprises the following specific steps: the equipment inquires the temperature of the internal temperature control module at intervals of 10 seconds, calculates the difference value of the temperatures of the adjacent temperature control modules, waits for 5 continuous times until the difference value is less than 0.02 ℃, confirms that the temperature of the constant temperature module is constant, and t c I is the acquisition times, when t c <0.02 for the next step;
3. the method of adapting an optical fiber for a distributed optical fiber temperature measurement system of claim 2, wherein: the laser power data acquisition comprises the following specific steps: the laser powers are respectively set to 220, 230, 240, 250, 260, 270, 280, 290 and 300 values, and the optical original information, namely stokes data and anti-stokes data after raman scattering, is respectively acquired for 5 times under the 9 laser powers.
4. The method for matching long-distance optical fibers of a distributed optical fiber temperature measurement system according to claim 3, wherein: the data averaging comprises the following specific steps:
set single Stokes data and anti-StokesThe ratio of the Toxoles data is y=s Anti-Stokes /s Stokes Wherein s is Stokes Is Stokes data, s Anti-Stokes Is anti-Stokes data;
when 5 waveforms measured at different powers are superimposed, the resulting superimposed signal is expressed as:
i is the collection times;
at this time, the noise is n i The signal-to-noise ratio is expressed as:
since the signal is unchanged, it can be obtaineds i As an input signal, due to uncorrelation between noise, it is possible toThe signal-to-noise ratio of the superimposed waveform is:
as the number of overlaps increases over time, the data signal to noise ratio will also increase.
5. The method for a distributed fiber optic temperature measurement system adaptive fiber optic of claim 4, wherein: the laser power selection comprises the following specific steps:
taking calculated ratio data under 9 groups of poweri is the power value of 220, 230, 240, 250,260、270、280、290、300；
Calculating the offset of each ratio data:
selecting p nearest to 1 i Obtaining the value of i, and setting the power of the equipment as i.
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