CN114279594A - Distributed optical fiber sensor high-temperature dynamic calibration system and method - Google Patents
Distributed optical fiber sensor high-temperature dynamic calibration system and method Download PDFInfo
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Abstract
The invention discloses a high-temperature dynamic calibration system and a high-temperature dynamic calibration method for a distributed optical fiber sensor, wherein the calibration system comprises a high-temperature tube furnace, a temperature demodulator, a DTS Raman optical fiber demodulator and a computer, wherein a thermocouple and a multimode optical fiber sensor are placed in the high-temperature tube furnace, the thermocouple is connected with the temperature demodulator, and the multimode optical fiber sensor is connected with the DTS Raman optical fiber demodulator; the temperature demodulator and the DTS Raman fiber demodulator are both connected with a computer; the multimode fiber sensor passes through the high-temperature tube furnace in a reciprocating manner in an S-shaped manner, the turning of the multimode fiber sensor is arranged outside the high-temperature tube furnace, at least four sections of the multimode fiber sensor are arranged in the high-temperature tube furnace, and the mechanical tension state of each section of the multimode fiber sensor in the high-temperature tube furnace is zero; and a thermocouple is correspondingly arranged on one side of each section of multimode optical fiber sensor in the high-temperature tube furnace.
Description
Technical Field
The invention relates to the field of sensor temperature calibration, in particular to a distributed optical fiber sensor high-temperature dynamic calibration system and method.
Background
Distributed optical fiber temperature measurement system (DTS) based on Raman scattering is a novel temperature measurement system that utilizes the influence relation of temperature to Raman backscattering light intensity and research and development, because optical fiber sensor is small arranges in a flexible way, anti-electromagnetic interference, can long distance advantage such as continuous temperature measurement, this system has been widely used in all kinds of high temperature monitoring and conflagration early warning engineering, but the optical fiber temperature measurement sensor demarcation mode commonly used at present still stops in the constant temperature demarcation stage, its calibration parameter also is mostly laboratory parameters, be difficult to be used for high temperature scenes such as conflagration. And, all kinds of subassemblies of optic fibre crust can produce the volume change under continuous high temperature environment, act on stress to the fibre core to make temperature sensing performance change when demarcating than the constant temperature, lead to the temperature measurement precision of DTS in high temperature environment to become low, and then restrict the application of optic fibre temperature measurement system in the aspect of the conflagration early warning.
The most recent prior patents and papers to date have the following:
1) a distributed temperature-sensing fire detector and detection system (112504504A) comprises a temperature-sensing optical fiber, a laser transmitter, a wavelength division multiplexer and a detection host, and measures the temperature change distributed along the temperature-sensing optical fiber by using optical time domain reflection and Raman scattering effect. And obtaining real-time temperature values of the temperature measuring points according to the light intensity ratio and the return time of the back scattering signal light, thereby achieving the purposes of measuring the temperature in real time and monitoring the fire.
However, the detection system does not explain the temperature measurement precision of the fire monitoring system after calibration, and does not explain the calibration method in detail and quantize related data, so that the high-temperature correction, the temperature measurement accuracy and the fire scene condition reaction capability of the system are ignored.
2) A calibration method (112461406A) based on a fiber grating type temperature sensor discloses a calibration method based on a fiber grating type temperature sensor. The method comprises the steps of firstly carrying out constant temperature calibration on the fiber grating type temperature sensor, establishing a functional relation between actual temperature and a wavelength value by collecting the wavelengths of the fiber grating type temperature sensor at different temperatures, enabling the wavelength to become an intermediate parameter for temperature measurement, enabling the intermediate parameter to truly reflect the current measured temperature under the condition that a temperature field is uneven and unstable, and improving the temperature measurement precision of the fiber grating type temperature sensor from the perspective of a data algorithm.
However, the calibration method of the calibration method is still constant temperature calibration, and the selected high temperature calibration temperature points and temperature sections are few, and the rapid change process of high temperature and the characteristics of a fire heating curve are not considered, so that the calibration method cannot be well adapted to the early warning of a fire scene.
3) A calibration device and method (111426410A) of a multi-measuring-point fiber grating high-temperature sensor, the calibration device is composed of a high-temperature tube furnace, a rail-type moving platform, a fiber thermocouple binding structure and a demodulation module; in the method, the high-temperature tube furnace is arranged on a moving platform of a rail type moving platform and can move left and right along a sliding rail. Meanwhile, the optical fiber thermocouple binding structure is kept in a straightening state, and the optical fiber thermocouple binding structure penetrates through the ceramic furnace plug through hole on one side of the optical fiber thermocouple binding structure to enter the high-temperature tube furnace and penetrates out of the other end of the ceramic furnace plug through hole. And recording the measured temperature of each optical fiber section in the heating process of the tube furnace in real time, and completing the calibration of the optical fiber sections according to the temperature collected by the thermocouple, thereby completing the calibration of the whole section of optical fiber.
However, the calibration device and the calibration method mainly solve the problem of efficiency in the calibration process, and the main point is the calibration device. Although the optical fiber is calibrated at high temperature, a constant temperature calibration means is still used. And different high-temperature sections are not defined so as to calibrate the temperature sections and the temperature intervals of the optical fiber sensor, so that the optical fiber sensor is possibly difficult to adapt to a dynamic high-temperature environment, and the temperature measurement precision is doubtful in a fire early warning scene.
In summary, an efficient and accurate high-temperature dynamic calibration system and method for an optical fiber sensor are not available at present.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a high-temperature dynamic calibration system and method for a distributed optical fiber sensor. Meanwhile, the same number of thermocouples are arranged in the furnace to collect actual temperature, and the actual temperature and the corresponding optical fibers form a combined module, so that the temperature measurement stability and the temperature rise characteristic of the optical fibers under the temperature rise curve are obtained, mathematical fitting correction is carried out based on the data, and the temperature measurement precision of the Raman optical fiber temperature measurement system under the high-temperature condition is improved. The volume change of the optical fiber assembly under the continuous high-temperature action is considered in the dynamic calibration process, and the change condition of the temperature measuring optical fiber in the actual fire scene is reduced.
The purpose of the invention is realized by the following technical scheme:
a distributed optical fiber sensor high-temperature dynamic calibration system comprises a high-temperature tube furnace, a temperature demodulator, a DTS Raman optical fiber demodulator and a computer, wherein a thermocouple and a multimode optical fiber sensor are placed in the high-temperature tube furnace, the thermocouple is connected with the temperature demodulator, and the multimode optical fiber sensor is connected with the DTS Raman optical fiber demodulator; the temperature demodulator and the DTS Raman fiber demodulator are both connected with a computer;
the multimode optical fiber sensor passes through the high-temperature tube furnace in a reciprocating manner in an S-shaped manner, the turning of the multimode optical fiber sensor is arranged outside the high-temperature tube furnace, at least four sections of the multimode optical fiber sensor are arranged in the high-temperature tube furnace, and the mechanical tension state of each section of the multimode optical fiber sensor in the high-temperature tube furnace is zero; and a thermocouple is correspondingly arranged on one side of each section of multimode optical fiber sensor in the high-temperature tube furnace.
Furthermore, each thermocouple is not in contact with each corresponding section of multimode fiber sensor, and the distance between each thermocouple and each corresponding section of multimode fiber sensor is less than 2 cm.
Further, the length of each section of multimode fiber sensor in the high-temperature tube furnace is 1 m; each section of multimode fibre optic sensor is laterally spaced from each other by at least 10 cm.
Further, the minimum bending radius of the bend of the multimode optical fiber sensor outside the high-temperature tube type furnace is 30 mm.
The invention also provides a fire scene high-temperature dynamic calibration method based on the optical fiber sensor, which comprises the following steps:
(1) selecting a fire heating model according to the fire scene influence factors in the application scene to be calibrated;
(2) adjusting parameters of the selected fire heating model to make the heating condition in the fire heating model consistent with the application scene, and determining a heating curve suitable for dynamic calibration of high temperature of the fire in the application scene;
(3) placing a thermocouple and a multimode optical fiber sensor in a high-temperature tube furnace, connecting the thermocouple with a temperature demodulator, and connecting the multimode optical fiber sensor with a DTS Raman optical fiber demodulator; finally, arranging heat insulation cotton at two ends of the high-temperature tubular furnace to seal the furnace body;
(4) setting a temperature rise function in the high-temperature tube furnace, enabling the high-temperature tube furnace to restore the temperature rise condition of a real fire scene by fitting with the fire temperature rise model selected in the step (1), heating a thermocouple and a multimode optical fiber sensor in the high-temperature tube furnace, collecting temperature change data of the thermocouple and the multimode optical fiber sensor under the temperature rise curve determined in the step (2), and after the temperature rise process is finished, exporting the temperature data of the temperature rise process measured by the thermocouple and the multimode optical fiber sensor;
(5) obtaining a heating correction model of the multimode fiber sensor and the thermocouple under the corresponding fire heating model through polynomial fitting or SVM algorithm fitting based on the obtained temperature data of the thermocouple and the multimode fiber sensor in the heating process;
(6) and substituting the temperature data measured in the actual application process of the multimode optical fiber sensor into the heating correction model to finish the temperature calibration of the multimode optical fiber sensor.
Further, the fire scene influencing factors in the step (1) comprise space size, ventilation condition and combustible materials; the fire heating model comprises a maackian loyalty model, an ASCE heating model and an Eurocode experience model.
Further, the parameters of the fire heating model in the step (2) comprise fire source power and ventilation factors. And determining a temperature rise curve suitable for the dynamic calibration of the high temperature of the fire in the application scene by combining the temperature rise curve of the typical fire experiment.
Further, in the step (4), the acquisition interfaces of the temperature demodulator and the DTS raman fiber demodulator are monitored during the temperature rise process to prevent interruption of data acquisition during the temperature rise process, and the time interval of temperature acquisition is 1 s.
Further, in the step (5), the temperature data of the heating process obtained by the multimode fiber sensor is used as an input quantity, the temperature data of the heating process obtained by the thermocouple is used as an output quantity, and the integral polynomial temperature-section-divided fitting or SVM algorithm temperature-section-divided fitting is carried out to obtain the heating correction model.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
1. the invention effectively solves the problems of lower temperature measurement precision, poorer stability and the like of the existing constant-temperature calibrated optical fiber sensor under the high-temperature condition, and provides an improved scheme for the application of a Raman optical fiber temperature measurement system in the aspects of fire early warning and high-temperature monitoring.
2. The invention has economic significance of reducing the cost of the sensor; several types of special optical fibers can be selected for the optical fiber temperature measuring system suitable for fire early warning and high-temperature scenes, but the manufacturing process is complex, the cost of the optical fiber temperature measuring system is often more than one hundred yuan per meter and far higher than that of a common optical fiber, and therefore the optical fiber temperature measuring system is few in practical application. The method dynamically calibrates the common optical fiber, so that the method is suitable for temperature prediction under the conditions of fire and high temperature, greatly reduces the material cost and reduces the initial investment while ensuring the temperature measurement precision.
3. The invention has social significance of improving the fire early warning capability; although distributed optical fiber temperature measurement systems are widely applied to fire monitoring at the present stage, temperature measurement accuracy is limited by a traditional constant-temperature optical fiber sensor calibration mode, temperature rising tendency can only be reflected, high-accuracy temperature early warning cannot be achieved, and real-time temperature acquisition capability of a fire scene is insufficient. According to the dynamic calibration method provided by the invention, the real-time temperature measurement of the optical fiber is fitted and corrected in the calibration process, the temperature measurement precision of a common optical fiber sensor in a fire scene is greatly improved, the defect of a Raman optical fiber temperature measurement system in the fire early warning capability is overcome, the popularity of the conventional optical fiber in the fire early warning aspect is improved, the social fire safety hidden danger is reduced, and the personnel and property loss is reduced.
Drawings
FIG. 1 is a schematic flow chart of a fire scene high-temperature dynamic calibration method according to the present invention.
FIG. 2 is a schematic structural diagram of a high-temperature dynamic calibration system of a distributed optical fiber sensor according to the present invention.
FIG. 3 is an effect diagram of the Cardington fire curve temperature rise correction model obtained by polynomial fitting.
FIG. 4 is a graph showing the effect of the Odeen fire curve temperature-rise correction model obtained by polynomial fitting.
FIG. 5 is an effect diagram of a Cardington fire curve temperature rise correction model obtained by SVM algorithm fitting.
FIG. 6 is an effect diagram of an Odeen fire curve temperature rise correction model obtained by SVM algorithm fitting.
Reference numerals: the system comprises a high-temperature tube furnace 1, a 2-DTS Raman fiber demodulation instrument, a 3-temperature demodulation instrument, a 4-computer, a 5-thermocouple and a 6-multimode fiber sensor.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 2, the invention provides a high-temperature dynamic calibration system for a distributed optical fiber sensor, which includes a high-temperature tube furnace 1, a temperature demodulator 3, a DTS raman optical fiber demodulator 2 and a computer 4, where the temperature demodulator 3 is an agilent temperature demodulator in this embodiment; a K-type thermocouple 5 and a multimode optical fiber sensor 6 are arranged in the high-temperature tube furnace 1, the thermocouple 5 is connected with a temperature demodulator, and the multimode optical fiber sensor 6 is connected with a DTS Raman optical fiber demodulator 2; the temperature demodulator 3 and the DTS Raman fiber demodulator 2 are both connected with a computer 4.
Generally, 4-9 sections of multimode fiber sensors are arranged in a high-temperature tube furnace, the embodiment combines the aperture size of the high-temperature tube furnace, and considers accidental errors possibly existing in experiments, the multimode fiber sensors pass through two ends of the high-temperature tube furnace in a reciprocating manner in an S-shaped manner, the turning positions of the multimode fiber sensors are arranged outside the high-temperature tube furnace, the multimode fiber sensors finally positioned in the high-temperature tube furnace count four sections, and the multimode fiber sensors in the high-temperature tube furnace are kept in a non-mechanical tension (non-bending) state, namely, the mechanical tension state of each section of multimode fiber sensors in the high-temperature tube furnace is zero;
in this embodiment, the distance between two adjacent multimode fiber sensors in the high-temperature tube furnace in the length direction (longitudinal direction) is 3m, that is, the length of the multimode fiber sensor for completing one turn outside the high-temperature tube furnace is 3 m; the transverse interval between each section of multimode optical fiber sensor in the high-temperature tube furnace is at least 10 cm; the length of each section of multimode fiber sensor in the high-temperature tube furnace is 1 m. The minimum bending radius of the bend of the multimode optical fiber sensor outside the high-temperature tube type furnace is 30 mm;
In the embodiment, three sections of multimode fiber sensors in the high-temperature tube furnace are set as calibration sections and are numbered in sequence, the other section of multimode fiber sensor is set as a standby section, the thermocouple is provided with the standby section and the calibration section in the same way corresponding to the multimode fiber sensor, and the calibration sections of the thermocouple are numbered in sequence.
Referring to fig. 1, based on the above distributed optical fiber sensor high temperature dynamic calibration system, the following is a detailed description of the fire scene high temperature dynamic calibration method in this embodiment, and includes the following steps:
(1) selecting a fire heating model from the existing fire heating models such as a maokou model, an ASCE heating model, an Eurocode experience model and the like according to the space size, the ventilation condition, the combustible material and other fire scene influence factors of the application scene of the multimode optical fiber sensor;
(2) adjusting relevant parameters such as fire source power, ventilation factors and the like of the selected fire heating model to enable the heating condition in the fire heating model to be consistent with the application scene, and determining a heating curve suitable for dynamic calibration of high temperature of the fire in the application scene by combining the heating curves of classical fire experiments Cardington and Odeen;
(3) placing a thermocouple and a multimode optical fiber sensor in a high-temperature tube furnace, connecting the thermocouple with a temperature demodulator, and connecting the multimode optical fiber sensor with a DTS Raman optical fiber demodulator; finally, arranging heat insulation cotton at two ends of the high-temperature tubular furnace to seal the furnace body;
(4) setting a temperature rise function in the high-temperature tube furnace, approaching the fire temperature rise model selected in the step (1) to the greatest extent, reducing the temperature rise condition of a real fire scene in the high-temperature tube furnace, heating a thermocouple and a multimode optical fiber sensor in the high-temperature tube furnace, collecting temperature change data of the thermocouple and the multimode optical fiber sensor under the temperature rise curve determined in the step (2), wherein the collected temperature change data are temperature data corresponding to different time points in continuous time periods, and thus obtaining the change of the actual temperature measured by the thermocouple and the temperature measured by the multimode optical fiber sensor; the mathematical fitting correction is used for subsequent temperature rise of the multimode optical fiber sensor; after the temperature rise process is finished, temperature data of the temperature rise process measured by the thermocouple and the multimode optical fiber sensor are exported;
in addition, the acquisition interfaces of the temperature demodulator and the DTS Raman fiber demodulator are monitored in the temperature rise process to prevent data acquisition interruption in the temperature rise process, and the time interval of temperature acquisition is 1 s.
(5) Obtaining a heating correction model of the multimode fiber sensor and the thermocouple under the corresponding fire heating model through polynomial fitting or SVM algorithm fitting based on the obtained temperature data of the thermocouple and the multimode fiber sensor in the heating process;
because the temperature-rising data dimension of the multimode fiber sensor is low, the generalization capability of a Support Vector Machine (SVM) algorithm is strong, and the segmented fitting effect of the temperature-rising correction model by selecting the algorithm in a small temperature-rising section range is good; in the overall heating process, the multimode optical fiber sensor is sensitive to temperature change, a polynomial fitting method can be selected, the temperature rise correction model of the multimode optical fiber sensor is subjected to segmented fitting, the temperature measurement precision is improved, and the high-temperature correction model of the multimode optical fiber sensor is obtained.
(6) And substituting the temperature data measured in the actual application process of the multimode optical fiber sensor into the heating correction model to finish the temperature calibration of the multimode optical fiber sensor.
Specifically, in the step (5), in the embodiment, temperature data of the multimode fiber sensor at intervals of time t (t range is 7s-1min) in temperature data in a heating process is used as an independent variable (input quantity), temperature data of the thermocouple at intervals of time t (t range is 7s-1min) is used as a dependent variable (output quantity), integral polynomial temperature-division section fitting and SVM algorithm temperature-division section fitting are performed on the input quantity and the output quantity, and then a heating correction model of the multimode fiber sensor and the thermocouple under a corresponding fire heating model is obtained; in this embodiment, 200 degrees celsius is used as a limit, and 200 degrees celsius or less and 200 degrees celsius or more are used as two temperature sections, respectively.
The temperature rise correction model obtained by polynomial fitting and the temperature rise correction model obtained by SVM algorithm fitting are respectively shown in fig. 3, fig. 4, fig. 5 and fig. 6, wherein the temperature average absolute error under an Odeen temperature rise curve is reduced to 9.92 ℃ from 265.04 ℃ by the polynomial fitting temperature rise correction model; the average absolute error of the temperature under the Cardington temperature rise curve is reduced from 235.99 ℃ to 11.96 ℃. The temperature rise correction model of the SVM algorithm reduces the average absolute error of the temperature under the Odeen temperature rise curve from 265.04 ℃ to 4.88 ℃; the average absolute error of the temperature under the Cardington temperature rise curve is reduced from 235.99 ℃ to 4.10 ℃.
In the fitting process of the SVM algorithm divided into temperature sections, the whole-process temperature data of all calibration sections of the thermocouple and the multimode fiber sensor are divided into a training set, a verification set and a test set according to the ratio of 8:1: 1; in the polynomial temperature section fitting process, the whole process temperature data of the thermocouple and the standby section of the multimode fiber sensor are used as a verification set; the results of the two fitting methods on the validation set are substantially consistent with those of the training set. Analysis shows that in a relatively low temperature section of 100-200 ℃, the stability and the accuracy of the temperature data after fitting by the SVM algorithm are superior to those of a polynomial model, but in the view of the whole temperature section, the stability and the accuracy of the temperature data after fitting by the polynomial are better.
The present invention is not limited to the above-described embodiments. The foregoing description of the specific embodiments is intended to describe and illustrate the technical solutions of the present invention, and the above specific embodiments are merely illustrative and not restrictive. Those skilled in the art can make many changes and modifications to the invention without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A distributed optical fiber sensor high-temperature dynamic calibration system is characterized by comprising a high-temperature tube furnace, a temperature demodulator, a DTS Raman optical fiber demodulator and a computer, wherein a thermocouple and a multimode optical fiber sensor are placed in the high-temperature tube furnace, the thermocouple is connected with the temperature demodulator, and the multimode optical fiber sensor is connected with the DTS Raman optical fiber demodulator; the temperature demodulator and the DTS Raman fiber demodulator are both connected with a computer;
the multimode optical fiber sensor passes through the high-temperature tube furnace in a reciprocating manner in an S-shaped manner, the turning of the multimode optical fiber sensor is arranged outside the high-temperature tube furnace, at least four sections of the multimode optical fiber sensor are arranged in the high-temperature tube furnace, and the mechanical tension state of each section of the multimode optical fiber sensor in the high-temperature tube furnace is zero; and a thermocouple is correspondingly arranged on one side of each section of multimode optical fiber sensor in the high-temperature tube furnace.
2. The system for high-temperature dynamic calibration of a sensor according to claim 1, wherein each thermocouple is in non-contact with each corresponding multimode fiber sensor segment and is spaced from each other by less than 2 cm.
3. The system for high-temperature dynamic calibration of the sensor according to claim 1, wherein the length of each section of the multimode fiber sensor in the high-temperature tube furnace is 1 m; each section of multimode fibre optic sensor is laterally spaced from each other by at least 10 cm.
4. The system for high-temperature dynamic calibration of the sensor according to claim 1, wherein the minimum bending radius of the bend of the multimode fiber sensor outside the high-temperature tube furnace is 30 mm.
5. A fire scene high-temperature dynamic calibration method based on an optical fiber sensor is based on the sensor high-temperature dynamic calibration system of claim 1, and is characterized by comprising the following steps:
(1) selecting a fire heating model according to the fire scene influence factors in the application scene to be calibrated;
(2) adjusting parameters of the selected fire heating model to make the heating condition in the fire heating model consistent with the application scene, and determining a heating curve suitable for dynamic calibration of high temperature of the fire in the application scene;
(3) placing a thermocouple and a multimode optical fiber sensor in a high-temperature tube furnace, connecting the thermocouple with a temperature demodulator, and connecting the multimode optical fiber sensor with a DTS Raman optical fiber demodulator; finally, arranging heat insulation cotton at two ends of the high-temperature tubular furnace to seal the furnace body;
(4) setting a temperature rise function in the high-temperature tube furnace, enabling the high-temperature tube furnace to restore the temperature rise condition of a real fire scene by fitting with the fire temperature rise model selected in the step (1), heating a thermocouple and a multimode optical fiber sensor in the high-temperature tube furnace, collecting temperature change data of the thermocouple and the multimode optical fiber sensor under the temperature rise curve determined in the step (2), and after the temperature rise process is finished, exporting the temperature data of the temperature rise process measured by the thermocouple and the multimode optical fiber sensor;
(5) obtaining a heating correction model of the multimode fiber sensor and the thermocouple under the corresponding fire heating model through polynomial fitting or SVM algorithm fitting based on the obtained temperature data of the thermocouple and the multimode fiber sensor in the heating process;
(6) and substituting the temperature data measured in the actual application process of the multimode optical fiber sensor into the heating correction model to finish the temperature calibration of the multimode optical fiber sensor.
6. The fire scene dynamic calibration method based on the optical fiber sensor as recited in claim 5, wherein the fire scene influencing factors in the step (1) comprise space size, ventilation condition and combustible material; the fire heating model comprises a maackian loyalty model, an ASCE heating model and an Eurocode experience model.
7. The fire scene dynamic calibration method based on the optical fiber sensor as recited in claim 5, wherein the parameters of the fire heating model in the step (2) include fire source power and ventilation factor.
8. The fire scene dynamic calibration method based on the optical fiber sensor as recited in claim 5 or 7, characterized in that, in step (2), a temperature rise curve suitable for fire high temperature dynamic calibration of an application scene is determined by combining a typical fire experiment temperature rise curve.
9. The fire scene dynamic calibration method based on the optical fiber sensor as recited in claim 5, wherein in the step (4), the acquisition interfaces of the temperature demodulator and the DTS Raman fiber demodulator are monitored during the temperature rise process to prevent data acquisition interruption during the temperature rise process, and the time interval of the temperature acquisition is 1 s.
10. The method for dynamically calibrating the fire scene based on the optical fiber sensor as recited in claim 9, wherein in the step (5), the temperature data of the heating process obtained by the multimode optical fiber sensor is used as an input quantity, the temperature data of the heating process obtained by the thermocouple is used as an output quantity, and the temperature-rise correction model is obtained by performing integral polynomial temperature-segment fitting or SVM algorithm temperature-segment fitting.
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| CN115452202A (en) * | 2022-11-10 | 2022-12-09 | 中国空气动力研究与发展中心设备设计与测试技术研究所 | High-temperature thermocouple calibration method based on coherent anti-Stokes Raman scattering spectrum |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115452202A (en) * | 2022-11-10 | 2022-12-09 | 中国空气动力研究与发展中心设备设计与测试技术研究所 | High-temperature thermocouple calibration method based on coherent anti-Stokes Raman scattering spectrum |
| CN115452202B (en) * | 2022-11-10 | 2023-01-31 | 中国空气动力研究与发展中心设备设计与测试技术研究所 | High-temperature thermocouple calibration method based on coherent anti-stokes Raman scattering spectrum |
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