CN115290211B - Transmission line environment temperature measuring method based on optical fiber sensing technology - Google Patents

Transmission line environment temperature measuring method based on optical fiber sensing technology Download PDF

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CN115290211B
CN115290211B CN202211231247.5A CN202211231247A CN115290211B CN 115290211 B CN115290211 B CN 115290211B CN 202211231247 A CN202211231247 A CN 202211231247A CN 115290211 B CN115290211 B CN 115290211B
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temperature
optical fiber
transmission line
whale
line
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CN115290211A (en
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张永挺
谢幸生
蔡永智
王金城
郭栩文
黄芸生
杨涌新
王干军
冯灿成
张新明
丁宗宝
严尹廷
李伟
张一�
张永杰
张勇志
周伟昆
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Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd
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Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K11/00Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
    • G01K11/32Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K15/00Testing or calibrating of thermometers
    • G01K15/005Calibration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/15Correlation function computation including computation of convolution operations

Abstract

The invention discloses a power transmission line environment temperature measuring method based on an optical fiber sensing technology, which comprises the steps of deploying a temperature sensing unit on a measured line, and collecting the environment temperature of the measured line through the temperature sensing unit; correcting the ambient temperature of the tested line, and calculating the deviation between the corrected temperature and the actual temperature; establishing a target function according to the deviation, solving the optimal solution of the target function, performing secondary correction, and outputting a final temperature measurement result; according to the invention, through designing the temperature sensing unit, the accuracy of power transmission line temperature detection is improved, and meanwhile, through combining a pole allocation algorithm and a whale algorithm, the temperature measurement accuracy is further improved, and the external interference is reduced.

Description

Transmission line environment temperature measuring method based on optical fiber sensing technology
Technical Field
The invention relates to the technical field of temperature measurement, in particular to a transmission line environment temperature measurement method based on an optical fiber sensing technology.
Background
In power transmission, because the transmission distance is long, the operation environment is complex, various faults can be frequently encountered, and the safe and stable operation problem of the high-voltage transmission line always occupies an important position. In addition to the influence of human factors on the high-voltage transmission line, environmental factors such as wind, rain, thunder, lightning, ice disaster, snow disaster and the like are also important tests on the high-voltage transmission line. Particularly, in 2008, in large-scale snow disaster weather in the whole country, a large amount of ice is coated on a power transmission line, so that a power transmission tower collapses, a lead is broken by pressure, large-scale power failure is caused, and great economic loss is brought to the country. On the other hand, when a short-circuit fault occurs, the high-voltage transmission line OPGW is subjected to strong short-circuit current impact, and the temperature of the optical cable rapidly rises. When the temperature exceeds a certain value, the performance of the optical fiber is damaged, the signal attenuation is increased, the service life of the optical cable is shortened, and communication interruption can be caused in severe cases to influence the normal operation of a power system.
Therefore, in order to improve the safety and reliability of the power system, it is necessary to monitor the thermal performance of the high voltage power transmission line and improve the thermal stability of the power transmission line.
High-voltage transmission lines, especially optical fiber composite overhead lines, are more and more widely applied in China, and the requirement of power grid monitoring cannot be met by manual inspection. At present, the existing power line temperature monitoring methods comprise direct measurement of a power line surface thermometer and infrared diagnosis and temperature measurement technologies. The methods are based on electrical point type measurement, are easily interfered by severe environment and strong electromagnetism of a high-voltage transmission line, and have low monitoring sensitivity and accuracy.
Disclosure of Invention
In view of this, the invention aims to solve the problems that the existing measurement based on the electrical point mode is easily interfered by severe environment and strong electromagnetism of a high-voltage transmission line, and the monitoring sensitivity and accuracy are not high.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention provides a power transmission line environment temperature measuring method based on an optical fiber sensing technology, which comprises the following steps:
deploying a temperature sensing unit on a measured line, and collecting the ambient temperature of the measured line through the temperature sensing unit;
correcting the environmental temperature of the measured line, and calculating the deviation between the corrected temperature and the actual temperature;
and establishing an objective function according to the deviation, solving the optimal solution of the objective function, performing secondary correction, and outputting a final temperature measurement result.
Further, the temperature sensing unit includes: the device comprises a control circuit, an MEMS sensor, a connecting optical fiber and a demodulator;
wherein, the connecting optical fiber is a single mode optical fiber.
Further, comprising:
the MEMS sensor acquires the ambient temperature of a detected line through optical fibers in the optical fiber composite overhead ground wire;
the MEMS sensor consists of a sensing part, an optical fiber collimator and an optical fiber, wherein the sensing part comprises a silicon wafer, an F-P resonant cavity and glass;
wherein, the silicon chip and the glass form a sensing head based on an F-P cavity through anodic bonding.
Further, the control circuit includes: quartz crystal oscillator, transformer and matching capacitor;
a single-pole double-throw switch is arranged in a primary loop of the transformer, different oscillations occur between an inductor and a capacitor when the single-pole double-throw switch is switched on and off, and a first signal and a second signal are correspondingly generated so as to control the operation state of the MEMS sensor;
the quartz crystal oscillator is connected with the matching capacitor, and the matching capacitor is charged and discharged rapidly through the quartz crystal oscillator to provide a power supply for the control circuit.
Further, comprising:
the demodulator adopts an amplified self-radiation light source as a laser source, and the spectral range is 1529-1564nm;
the demodulator is connected with the MEMS sensor through a connecting optical fiber.
Further, the correcting the ambient temperature of the measured line specifically includes:
inputting the environmental temperature of the tested line into a parameter estimator, obtaining a parameter estimation value by the parameter estimator through a Bayesian estimation strategy, and sending the parameter estimation value to a controller;
and designing a controller by using a pole allocation algorithm, and correcting the ambient temperature of the tested line by the controller according to the parameter estimation value.
Further, the transfer function of the controller is:
Figure 636737DEST_PATH_IMAGE001
Figure 399769DEST_PATH_IMAGE002
in the formula (I), the compound is shown in the specification,
Figure 134507DEST_PATH_IMAGE003
in order to achieve the gain,
Figure 681026DEST_PATH_IMAGE004
is the constant of the time of inertia,
Figure 792201DEST_PATH_IMAGE005
in order to delay the time constant of the time,
Figure 740565DEST_PATH_IMAGE006
to expect a characteristic polynomial of a closed loop system,
Figure 646205DEST_PATH_IMAGE007
in order to expect the characteristic values of the closed-loop system,
Figure 680020DEST_PATH_IMAGE008
the number of the pole points.
Further, the objective function is:
Figure 329307DEST_PATH_IMAGE009
in the formula (I), the compound is shown in the specification,
Figure 152686DEST_PATH_IMAGE010
in order to obtain the corrected temperature, the temperature of the liquid crystal display device,
Figure 229226DEST_PATH_IMAGE011
is the actual temperature of the molten steel and is,
Figure 750337DEST_PATH_IMAGE012
is an error factor.
Further, solving the optimal solution of the objective function specifically includes:
taking the error factors as whale individuals, and initializing the whale individual number and the maximum iteration number;
generating whale individuals through floating-point number coding, then performing chaotic iteration on the whale individuals for a plurality of times to obtain an initial population, and calculating the fitness of the initial whale population;
updating the position of the whale population, adding random disturbance, calculating the fitness of the whale population at the moment, and selecting an optimal individual according to the fitness;
and judging whether the maximum iteration times is reached, and stopping running if the maximum iteration times is reached to obtain an optimal solution.
Further, the expression of the random disturbance is specifically:
Figure 937736DEST_PATH_IMAGE013
in the formula (I), the compound is shown in the specification,
Figure 860693DEST_PATH_IMAGE014
in order to be able to make the coefficients of the perturbations,
Figure 108134DEST_PATH_IMAGE015
the number of times of the current iteration is,
Figure 116542DEST_PATH_IMAGE016
Figure 107631DEST_PATH_IMAGE017
are respectively as
Figure 947411DEST_PATH_IMAGE014
The maximum value and the minimum value of (c),
Figure 362825DEST_PATH_IMAGE018
is the maximum number of iterations.
In summary, the present invention provides a transmission line ambient temperature measurement method based on an optical fiber sensing technology, which includes obtaining an ambient temperature of a transmission line by using a temperature sensing unit, then, after correcting the ambient temperature, establishing a target function by using a corrected temperature difference, obtaining an optimal solution, and then, performing secondary correction to obtain a final transmission line ambient temperature. According to the method, the temperature sensing unit is used for obtaining the environmental temperature of the power transmission line, the target function is established to obtain the optimal solution, and the accurate environmental temperature value of the power transmission line is obtained in a correction mode.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of a method for measuring an ambient temperature of a power transmission line based on an optical fiber sensing technology according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a temperature sensing unit according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a MEMS sensor according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In power transmission, because the transmission distance is long, the operation environment is complex, various faults can be frequently encountered, and the safe and stable operation problem of the high-voltage transmission line always occupies an important position. In addition to the influence of human factors on the high-voltage transmission line, environmental factors such as wind, rain, thunder, lightning, ice disasters and snow disasters are also important tests on the high-voltage transmission line. Particularly, in 2008, in large-scale snow disaster weather in the whole country, a large amount of ice is coated on a transmission line, so that a transmission tower collapses, a lead is broken by pressing, large-scale power failure is caused, and great economic loss is brought to the country. On the other hand, when a short-circuit fault occurs, the high-voltage transmission line OPGW is impacted by a strong short-circuit current, and the temperature of the optical cable rapidly rises. When the temperature exceeds a certain value, the performance of the optical fiber is damaged, the signal attenuation is increased, the service life of the optical cable is shortened, and communication interruption can be caused in severe cases to influence the normal operation of a power system.
Therefore, in order to improve the safety and reliability of the power system, it is necessary to monitor the thermal performance of the high voltage power transmission line and improve the thermal stability of the power transmission line.
High-voltage transmission lines, especially optical fiber composite overhead lines, are more and more widely applied in China, and the requirement of power grid monitoring cannot be met by manual inspection. At present, the existing power line temperature monitoring methods comprise direct measurement of a power line surface thermometer and infrared diagnosis and temperature measurement technologies. The methods are based on electrical point type measurement, are easily interfered by severe environment and strong electromagnetism of a high-voltage transmission line, and have low monitoring sensitivity and accuracy.
Based on the method, the invention provides a transmission line environment temperature measuring method based on an optical fiber sensing technology.
The following is a detailed description of an embodiment of the method for measuring the ambient temperature of the power transmission line based on the optical fiber sensing technology.
Referring to fig. 1, the present embodiment provides a method for measuring an ambient temperature of a power transmission line based on an optical fiber sensing technology, including:
s100: the temperature sensing unit is deployed on a measured line, and the ambient temperature of the measured line is collected through the temperature sensing unit.
As shown in fig. 2, the temperature sensing unit includes a control circuit, a MEMS sensor, a connection fiber, and a demodulator. Specifically, the environment temperature of the measured line is collected through the MEMS sensor, the operation state of the MEMS sensor is controlled through the control circuit, and the MEMS sensor is demodulated through the demodulator.
The MEMS sensor collects the ambient temperature of the measured line through the optical fiber in the optical fiber composite overhead ground wire; referring to fig. 3, the mems sensor is composed of a sensing part, a fiber collimator, and an optical fiber, wherein the sensing part includes a silicon chip, an F-P resonant cavity, and Pyrex7740 glass.
Wherein, the silicon chip and the glass form a sensing head based on an F-P cavity through anodic bonding; specifically, a layer of silicon dioxide is oxidized on the two sides of a cleaned silicon wafer, and then a layer of silicon nitride is deposited on the two sides, wherein the silicon nitride Deposition is carried out by using a Low Pressure Chemical Vapor Deposition (LPCVD-Low Pressure Chemical Vapor Deposition) process and is characterized by having good KOH corrosion resistance; selectively removing silicon dioxide and silicon nitride on the top surface of the silicon wafer by utilizing a photoetching technology and a reactive ion etching technology; preparing a cavity on the bottom surface of the silicon wafer by combining the photoetching technology with the wet etching technology, and constructing a groove structure on the top surface of the silicon wafer to reduce the thickness of the silicon diaphragm; sputtering a gold film in the cavity on the bottom surface of the silicon wafer by using a vacuum sputtering coating technology to achieve the purpose of improving the reflectivity; then removing silicon dioxide and silicon nitride on the surface of the silicon wafer; finally, the silicon chip and the silicon boron glass are bonded together by anode bonding process under the conditions of high temperature, high pressure, vacuum, pressure and the like to form the sensing head.
Referring to fig. 2, the control circuit includes a quartz crystal oscillator CO, a transformer, and a matching capacitor C; the transformer comprises a mutual inductor M (composed of inductors L1 and L2), resistors R1 and R2, power supplies V and V0 and a capacitor C1, a single-pole double-throw switch S is arranged in a primary loop of the transformer, different oscillations occur between the inductor and the capacitor when the single-pole double-throw switch S is switched on and off, and a first signal and a second signal are correspondingly generated to control the running state of the MEMS sensor, namely when the MEMS sensor receives the first signal, the MEMS sensor starts to run; and when the MEMS sensor receives the second signal, the operation is stopped.
The quartz crystal oscillator is connected with the matching capacitor, and the matching capacitor is rapidly charged and discharged through the quartz crystal oscillator to provide a power supply for the control circuit; preferably, the quartz crystal oscillator has the advantages of high Q value, small size and the like, and the embodiment adds the quartz crystal oscillator into the control circuit, so that the Q value of the circuit can be improved, and a rectifying circuit and a complex control circuit are omitted.
The demodulator mainly detects the spectrum change of the light returned by the MEMS sensor after emitting a laser source; generally, the method can be divided into three types of light intensity modulation, wavelength modulation and phase modulation, and different demodulation technologies are matched according to different precision requirements and different sensor principles; in the embodiment, an amplified self-radiation light source is used as a laser source, and the spectral range is 1529-1564nm; the MEMS sensor is connected with the MEMS sensor through a connecting optical fiber; wherein, the connecting optical fiber is a single mode optical fiber.
S200: and correcting the ambient temperature of the measured line, and calculating the deviation of the corrected temperature and the actual temperature.
The step of correcting the temperature of the environment of the measured line specifically comprises the following steps:
s201: and inputting the environmental temperature of the measured line into a parameter estimator, obtaining a parameter estimation value by the parameter estimator through a Bayesian estimation strategy, and sending the parameter estimation value to a controller.
That is, data of t time period is randomly selected, and a probability density p (x) and a conditional probability density p (z | x) are constructed, wherein z is random measurement data.
Using a bayesian formula, a posterior distribution function p (x | z) of x is calculated, and a parameter estimation value W = argmax { p (x | z) }isobtained.
Where the posterior distribution function p (x | z) of x is:
Figure 592949DEST_PATH_IMAGE019
s202: and designing a controller by using a pole allocation algorithm, and correcting the ambient temperature of the measured line by the controller according to the parameter estimation value.
Wherein, the transfer function of the controller is:
Figure 387730DEST_PATH_IMAGE001
Figure 19699DEST_PATH_IMAGE002
in the formula (I), the compound is shown in the specification,
Figure 608944DEST_PATH_IMAGE003
in order to obtain the gain of the gain,
Figure 591943DEST_PATH_IMAGE004
is the constant of the time of inertia,
Figure 924835DEST_PATH_IMAGE005
in order to delay the time constant of the time,
Figure 411312DEST_PATH_IMAGE006
to expect a characteristic polynomial of a closed loop system,
Figure 434107DEST_PATH_IMAGE007
in order to expect the characteristic values of the closed-loop system,
Figure 638823DEST_PATH_IMAGE008
the number of the pole points.
S203: calculating the deviation
Figure 775406DEST_PATH_IMAGE020
Figure 116389DEST_PATH_IMAGE021
Wherein, the first and the second end of the pipe are connected with each other,
Figure 375332DEST_PATH_IMAGE010
in order to obtain the corrected temperature, the temperature of the liquid crystal display device,
Figure 67344DEST_PATH_IMAGE011
is the actual temperature.
S300: and establishing an objective function according to the deviation, solving the optimal solution of the objective function, performing secondary correction, and outputting a final temperature measurement result.
The established objective function is specifically as follows:
Figure 742039DEST_PATH_IMAGE009
in the formula (I), the compound is shown in the specification,
Figure 140791DEST_PATH_IMAGE010
in order to achieve the corrected temperature, the temperature,
Figure 505389DEST_PATH_IMAGE011
as the actual temperature, the temperature of the gas,
Figure 419118DEST_PATH_IMAGE012
is an error factor.
The process of solving the optimal solution of the objective function is as follows:
s301: error factor
Figure 959821DEST_PATH_IMAGE012
And (5) as whale individuals, initializing the whale individual number and the maximum iteration number T.
S302: whale individuals are generated through floating-point number coding, then the whale individuals are subjected to chaotic iteration for a plurality of times, an initial population is obtained, and the fitness of the initial whale population is calculated.
S303: and updating the positions of the whale populations, adding random disturbance, calculating the fitness of the whale populations at the moment, and selecting the optimal individuals according to the fitness.
Wherein the expression of the optimal perturbation is as follows:
Figure 540975DEST_PATH_IMAGE013
in the formula (I), the compound is shown in the specification,
Figure 813824DEST_PATH_IMAGE014
in order to be able to make the coefficients of the perturbations,
Figure 480429DEST_PATH_IMAGE015
for the current number of iterations,
Figure 496927DEST_PATH_IMAGE016
Figure 932587DEST_PATH_IMAGE017
are respectively as
Figure 438655DEST_PATH_IMAGE014
The maximum value and the minimum value of (c),
Figure 592556DEST_PATH_IMAGE018
is the maximum number of iterations.
S304: and judging whether the maximum iteration times is reached, and stopping running if the maximum iteration times is reached to obtain an optimal solution.
The embodiment provides a transmission line environment temperature measuring method based on an optical fiber sensing technology, which includes the steps of obtaining environment temperature of a transmission line by a temperature sensing unit, then establishing a target function by using a corrected temperature difference after correcting the environment temperature, obtaining an optimal solution, and obtaining final transmission line environment temperature after carrying out secondary correction. According to the embodiment, the accuracy of the temperature detection of the power transmission line is improved by designing the temperature sensing unit, and meanwhile, the temperature measurement accuracy is further improved and the external interference is reduced by combining the pole configuration algorithm and the whale algorithm. The method does not depend on direct electrical point type measurement, can avoid interference of severe environment and strong electromagnetism of the high-voltage transmission line, and has high monitoring sensitivity and accuracy.
The above is a detailed description of an embodiment of the method for measuring the environmental temperature of the power transmission line based on the optical fiber sensing technology, and the technical effects of the invention will be verified and explained below.
The traditional technical scheme is based on the measurement of electricity point type, easily receives adverse circumstances and the strong electromagnetic interference of high tension transmission line, and monitoring sensitivity is not high.
In order to verify that the method has higher measurement accuracy compared with the conventional technical scheme, the conventional technical scheme and the method are adopted to respectively measure and compare the temperature of the power transmission line environment in real time in the embodiment, and the results are shown in the following table.
Table 1: measurement results
Figure DEST_PATH_IMAGE022
As can be seen from the table I, the temperature measured by adopting the traditional technical scheme has a certain error with the actual temperature, the error is between 0.1 and 4.6 ℃, and the method greatly reduces the measurement error, and the error range is between 0.1 and 0.3 ℃.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (4)

1. A transmission line environment temperature measuring method based on an optical fiber sensing technology is characterized by comprising the following steps:
deploying a temperature sensing unit on a detected line, and acquiring the ambient temperature of the detected line through the temperature sensing unit;
correcting the ambient temperature of the measured line, and calculating the deviation between the corrected temperature and the actual temperature, wherein the correcting the ambient temperature of the measured line specifically comprises:
inputting the environmental temperature of the measured line into a parameter estimator, wherein the parameter estimator obtains a parameter estimation value through a Bayesian estimation strategy and sends the parameter estimation value to a controller;
designing the controller by using a pole allocation algorithm, and correcting the ambient temperature of the tested line by the controller according to the parameter estimation value;
establishing an objective function according to the deviation, solving the optimal solution of the objective function, performing secondary correction, and outputting a final temperature measurement result, wherein the objective function is as follows:
Figure 933529DEST_PATH_IMAGE001
in the formula (I), the compound is shown in the specification,
Figure 705176DEST_PATH_IMAGE002
in order to achieve the corrected temperature, the temperature,
Figure 780448DEST_PATH_IMAGE003
is the actual temperature of the molten steel and is,
Figure 662954DEST_PATH_IMAGE004
is an error factor;
the solving of the optimal solution of the objective function specifically includes:
taking the error factors as whale individuals, and initializing the whale individual number and the maximum iteration number;
generating whale individuals through floating-point number coding, then performing chaotic iteration on the whale individuals for a plurality of times to obtain an initial population, and calculating the fitness of the initial whale population;
updating the position of the whale population, adding random disturbance, calculating the fitness of the whale population at the moment, and selecting an optimal individual according to the fitness;
judging whether the maximum iteration times is reached, and stopping running if the maximum iteration times is reached to obtain an optimal solution;
the temperature sensing unit includes: the MEMS sensor is connected with the control circuit through the connecting optical fiber;
wherein the connecting optical fiber is a single mode optical fiber;
the control circuit includes: quartz crystal oscillator, transformer and matching capacitor;
the primary circuit of the transformer is provided with a single-pole double-throw switch, when the single-pole double-throw switch is switched on and switched off, different oscillations occur between an inductor and a capacitor, and a first signal and a second signal are correspondingly generated so as to control the operation state of the MEMS sensor;
the quartz crystal oscillator is connected with the matching capacitor, and the matching capacitor is rapidly charged and discharged through the quartz crystal oscillator to provide a power supply for the control circuit;
the transfer function of the controller is:
Figure 641536DEST_PATH_IMAGE005
Figure 584085DEST_PATH_IMAGE006
in the formula (I), the compound is shown in the specification,
Figure 146653DEST_PATH_IMAGE007
in order to achieve the gain,
Figure 567270DEST_PATH_IMAGE008
is the constant of the time of inertia,
Figure 665938DEST_PATH_IMAGE009
in order to delay the time constant of the time,
Figure 779388DEST_PATH_IMAGE010
to expect a characteristic polynomial of a closed-loop system,
Figure 829252DEST_PATH_IMAGE011
in order to expect the characteristic value of the closed-loop system,
Figure 53560DEST_PATH_IMAGE012
the number of the pole points.
2. The method for measuring the environmental temperature of the power transmission line based on the optical fiber sensing technology as recited in claim 1, comprising:
the MEMS sensor acquires the ambient temperature of the measured line through optical fibers in the optical fiber composite overhead ground wire;
the MEMS sensor consists of a sensing part, an optical fiber collimator and an optical fiber, wherein the sensing part comprises a silicon wafer, an F-P resonant cavity and glass;
wherein the silicon chip and the glass form the sensing head based on the F-P cavity through anodic bonding.
3. The method for measuring the environmental temperature of the power transmission line based on the optical fiber sensing technology as recited in claim 1, comprising:
the demodulator adopts an amplified self-radiation light source as a laser source, and the spectral range is 1529-1564nm;
the demodulator is connected with the MEMS sensor through the connecting optical fiber.
4. The method for measuring the environmental temperature of the transmission line based on the optical fiber sensing technology according to claim 1, wherein the expression of the random disturbance is specifically as follows:
Figure 741156DEST_PATH_IMAGE013
in the formula (I), the compound is shown in the specification,
Figure 150140DEST_PATH_IMAGE014
in order to be a coefficient of the disturbance,
Figure 562667DEST_PATH_IMAGE015
for the current number of iterations,
Figure 216765DEST_PATH_IMAGE016
Figure 398347DEST_PATH_IMAGE017
are respectively as
Figure 712654DEST_PATH_IMAGE014
The maximum value and the minimum value of (c),
Figure 612477DEST_PATH_IMAGE018
is the maximum number of iterations.
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Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5767830A (en) * 1980-10-15 1982-04-24 Kobe Steel Ltd Method for estimating average temperature of section of cable
US6678548B1 (en) * 2000-10-20 2004-01-13 The Trustees Of The University Of Pennsylvania Unified probabilistic framework for predicting and detecting seizure onsets in the brain and multitherapeutic device
CN104217409B (en) * 2014-09-30 2017-04-05 南京汇川工业视觉技术开发有限公司 A kind of image color correction method based on simulated annealing optimization algorithm
WO2018122589A1 (en) * 2016-12-30 2018-07-05 同济大学 Method for detecting degree of development of asphalt pavement fracture based on infrared thermal image analysis
CN108696164B (en) * 2018-08-22 2024-01-05 西华大学 Flyback single-phase photovoltaic grid-connected micro inverter controlled by DCM frequency conversion and control method
CN108955952A (en) * 2018-09-25 2018-12-07 浙江敏源传感科技有限公司 A kind of digital temperature sensor and its temperature correction method, storage medium
CN109713770A (en) * 2019-01-29 2019-05-03 上海交通大学 Circuit is managed using the faint energy acquisition of high q-factor piezo-electric resonator
CN113241087B (en) * 2021-05-10 2022-05-27 青岛科技大学 Underwater sound signal denoising method based on combination of improved VMD and improved wavelet threshold method
CN114357182A (en) * 2021-12-20 2022-04-15 朗坤智慧科技股份有限公司 Production emergency management method and system based on artificial intelligence

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