CN110631681A - High-speed rail safe operation detection method based on optical fiber distributed vibration monitoring - Google Patents
High-speed rail safe operation detection method based on optical fiber distributed vibration monitoring Download PDFInfo
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- CN110631681A CN110631681A CN201910917808.9A CN201910917808A CN110631681A CN 110631681 A CN110631681 A CN 110631681A CN 201910917808 A CN201910917808 A CN 201910917808A CN 110631681 A CN110631681 A CN 110631681A
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- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
- G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
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Abstract
The invention discloses a high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring, which comprises the following steps of: the optical fiber is used as a sensor and arranged along a rail cable to form a sensing optical cable, an optical fiber vibration monitoring host simulates a wheel-rail noise spectrum under a normal condition and a wheel-rail friction vibration noise characteristic under a vibration condition, then the sensing optical cable collects vibration signals generated by wheel-rail friction in real time and transmits the vibration signals to the optical fiber vibration monitoring host, the optical fiber vibration monitoring host carries out preprocessing and mode recognition algorithm processing, the friction vibration noise characteristic of the wheel rail is analyzed and compared with the simulated wheel-rail friction vibration noise characteristic, the wheel-rail friction vibration condition is confirmed, and an alarm is given when the vibration amplitude of the optical fiber vibration monitoring host exceeds a safety range. The invention can monitor the vibration amplitude condition of the high-speed rail in real time, can realize the real-time monitoring with ultra-long distance and high precision, plays a role in early warning the road condition and further ensures the driving safety.
Description
Technical Field
The invention relates to the technical field of high-speed rail condition monitoring, in particular to a high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring.
Background
The driving safety is the precondition of ensuring the normal and high-efficiency transportation of the railway. In recent years, the high-speed rail construction of China is developed rapidly, the running speed is higher and higher, the importance of railway traffic safety and communication is more and more obvious, and the safety condition of railway communication optical cables relates to the normal operation of the whole railway transportation. The geological conditions along the railway are complex, the soil quality is various, various dangerous factors which can be met by the train are increased, particularly, the road conditions of the railway in remote mountain areas are complex, the side slopes on the two sides of the railway are steep, natural disasters occur frequently, manual work is mostly relied on in the road condition investigation along the railway, the efficiency is low, and the working environment is hard. Particularly, when the high-speed railway train runs at the speed of 250km/h and above, visual observation cannot ensure the driving safety, and the application of an online monitoring technology and equipment must be relied on.
Disclosure of Invention
The invention aims to provide a high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring, which can monitor the vibration amplitude condition of a high-speed rail in real time, realize ultra-long-distance and high-precision real-time monitoring, resist electromagnetic interference, play a role in early warning road conditions and further guarantee the safety of driving and personnel.
The technical scheme adopted by the invention is as follows: a high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring comprises the following steps:
a. arranging optical fibers as sensors along the rail cable to form a sensing optical cable;
b. according to the friction noise characteristics of train wheels and rails, the optical fiber vibration monitoring host simulates a wheel-rail noise spectrum under a normal condition and simulates wheel-rail friction vibration noise characteristics under a vibration condition;
c. the sensing optical cable collects vibration signals generated by wheel rail friction in real time and transmits the vibration signals to the optical fiber vibration monitoring host;
d. the optical fiber vibration monitoring host starts preprocessing according to the vibration signal characteristics to carry out recombination of a spatial domain, a time domain and a frequency domain;
e. the optical fiber vibration monitoring host starts pattern recognition algorithm processing, and completes wheel-rail friction vibration noise characteristic analysis through feature extraction, classification judgment and decision;
f. and comparing the analyzed wheel-rail friction vibration noise characteristic result with the wheel-rail friction vibration noise characteristic under the simulated vibration condition, and confirming the wheel-rail friction vibration condition.
g. When the friction vibration amplitude of the wheel track exceeds the safety range, the optical fiber vibration monitoring host gives an alarm.
Preferably, in the step a, the sensing optical cable is of a vibration-sensitive stainless steel armor structure.
Preferably, in the step a, the optical fiber is adhered to a side surface of the rail cable.
Preferably, in the step a, the optical fiber is used as a sensor based on the rayleigh scattering principle.
Preferably, in the step c, the frequency range in which the sensing optical cable can collect the vibration signal is 0.1HZ ~ 1 KHZ.
Preferably, in the step e, when simulating a wheel track noise spectrum under a normal condition and a wheel track friction vibration noise characteristic under a vibration condition, the PGC algorithm is used for processing.
The invention has the beneficial effects that: according to the invention, the optical fiber is arranged in the rail cable, so that the real-time monitoring of long-distance and high-precision vibration signals of the rail can be realized, the monitoring result is sent to the optical fiber vibration host for processing, the friction noise characteristic of the wheel rail is analyzed, the friction vibration amplitude condition of the wheel rail is finally determined, and when the vibration exceeds the safety range, early warning can be carried out in advance, and the driving safety is ensured.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solution 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. 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.
As shown in fig. 1, the present invention comprises the steps of:
a. arranging optical fibers as sensors along the rail cable to form a sensing optical cable;
b. according to the friction noise characteristics of train wheels and rails, the optical fiber vibration monitoring host simulates a wheel-rail noise spectrum under a normal condition and simulates wheel-rail friction vibration noise characteristics under a vibration condition;
c. the sensing optical cable collects vibration signals generated by wheel rail friction in real time and transmits the vibration signals to the optical fiber vibration monitoring host;
d. the optical fiber vibration monitoring host starts preprocessing according to the vibration signal characteristics to carry out recombination of a spatial domain, a time domain and a frequency domain;
e. the optical fiber vibration monitoring host starts pattern recognition algorithm processing, and completes wheel-rail friction vibration noise characteristic analysis through feature extraction, classification judgment and decision;
f. and comparing the analyzed wheel-rail friction vibration noise characteristic result with the wheel-rail friction vibration noise characteristic under the simulated vibration condition, and confirming the wheel-rail friction vibration condition.
g. When the friction vibration amplitude of the wheel track exceeds the safety range, the optical fiber vibration monitoring host gives an alarm.
In the step a, the sensing optical cable is of a vibration sensitive stainless steel armored structure and has the advantages of pressure resistance and good frequency passing performance.
In the step a, the optical fiber is adhered to the side surface of the rail cable, so that the vibration of the rail can be monitored in real time.
In the step a, the optical fiber is used as a sensor based on the Rayleigh scattering principle.
In the step c, the frequency range of the vibration signals collected by the sensing optical cable is 0.1HZ ~ 1KHZ, and the collection frequency range is large and the precision is high.
And e, processing by adopting a PGC algorithm when simulating the noise spectrum of the wheel track under the normal condition and the friction vibration noise characteristic of the wheel track under the vibration condition.
When the wheel rail friction vibration detection device is used, the optical fiber is fixed on the side face of a rail cable to form a sensing optical cable, the sensing optical cable collects vibration signals generated during wheel rail friction in real time, the frequency range of the vibration signals capable of being collected is 0.1HZ ~ 1KHZ, the collected frequency range is large, the precision is high, the vibration signals are transmitted to the optical fiber vibration monitoring host, the frequency of the vibration signals is subjected to recombination processing of a space domain, a time domain and a frequency domain, characteristic extraction, classification judgment and decision making are carried out through a mode recognition algorithm, wheel rail friction vibration noise characteristic analysis is completed, the wheel rail friction vibration noise characteristic analysis is compared with wheel rail friction vibration noise under a simulation condition, the wheel rail friction vibration condition is confirmed, when the vibration amplitude exceeds a safety range, the optical fiber vibration monitoring host gives an alarm, early warning is carried out on road conditions, workers can take measures in time, and safety of driving and.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring is characterized in that: the method comprises the following steps:
a. arranging optical fibers as sensors along the rail cable to form a sensing optical cable;
b. according to the friction noise characteristics of train wheels and rails, the optical fiber vibration monitoring host simulates a wheel-rail noise spectrum under a normal condition and simulates wheel-rail friction vibration noise characteristics under a vibration condition;
c. the sensing optical cable collects vibration signals generated by wheel rail friction in real time and transmits the vibration signals to the optical fiber vibration monitoring host;
d. the optical fiber vibration monitoring host starts preprocessing according to the vibration signal characteristics to carry out recombination of a spatial domain, a time domain and a frequency domain;
e. the optical fiber vibration monitoring host starts pattern recognition algorithm processing, and completes wheel-rail friction vibration noise characteristic analysis through feature extraction, classification judgment and decision;
f. comparing the analyzed wheel-rail friction vibration noise characteristic result with the wheel-rail friction vibration noise characteristic under the simulated vibration condition, and confirming the wheel-rail friction vibration condition;
g. when the friction vibration amplitude of the wheel track exceeds the safety range, the optical fiber vibration monitoring host gives an alarm.
2. The high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring as claimed in claim 1, wherein: in the step a, the sensing optical cable is of a vibration sensitive stainless steel armor structure.
3. The high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring as claimed in claim 1, wherein: in the step a, the optical fiber is stuck to the side surface of the rail cable.
4. The high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring as claimed in claim 1, wherein: in the step a, the optical fiber is used as a sensor based on the Rayleigh scattering principle.
5. The method for detecting the safe operation of the high-speed rail based on the optical fiber distributed vibration monitoring as claimed in claim 1, wherein in the step c, the frequency range in which the sensing optical cable can collect the vibration signal is 0.1HZ ~ 1 KHZ.
6. The high-speed rail safe operation detection method based on optical fiber distributed vibration monitoring as claimed in claim 1, wherein: and e, processing by adopting a PGC algorithm when simulating the noise spectrum of the wheel track under the normal condition and the friction vibration noise characteristic of the wheel track under the vibration condition.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111854921A (en) * | 2020-07-28 | 2020-10-30 | 武汉理工光科股份有限公司 | Distributed optical fiber deceleration strip vibration early warning system and method |
CN111845843A (en) * | 2020-07-13 | 2020-10-30 | 南京大学 | High-speed rail safe operation detection method based on optical fiber distributed vibration monitoring |
CN112611442A (en) * | 2020-11-26 | 2021-04-06 | 中国科学院合肥物质科学研究院 | Railway bridge health monitoring method and system based on track accompanying optical cable |
CN114084198A (en) * | 2021-10-14 | 2022-02-25 | 山东大学 | Train state identification and warning system and method based on distributed sound wave sensing |
CN115112763A (en) * | 2022-07-28 | 2022-09-27 | 南京大学 | DAS-based high-speed rail sound barrier health condition real-time monitoring method |
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CN106323442A (en) * | 2016-08-18 | 2017-01-11 | 南京发艾博光电科技有限公司 | Railway health monitoring method based on distributed optical fiber vibration sensing system |
CN108603785A (en) * | 2015-12-01 | 2018-09-28 | 光学感应器公司 | Distributed fibre optic sensing for monitoring railway network |
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Patent Citations (2)
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CN108603785A (en) * | 2015-12-01 | 2018-09-28 | 光学感应器公司 | Distributed fibre optic sensing for monitoring railway network |
CN106323442A (en) * | 2016-08-18 | 2017-01-11 | 南京发艾博光电科技有限公司 | Railway health monitoring method based on distributed optical fiber vibration sensing system |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111845843A (en) * | 2020-07-13 | 2020-10-30 | 南京大学 | High-speed rail safe operation detection method based on optical fiber distributed vibration monitoring |
CN111854921A (en) * | 2020-07-28 | 2020-10-30 | 武汉理工光科股份有限公司 | Distributed optical fiber deceleration strip vibration early warning system and method |
CN112611442A (en) * | 2020-11-26 | 2021-04-06 | 中国科学院合肥物质科学研究院 | Railway bridge health monitoring method and system based on track accompanying optical cable |
CN114084198A (en) * | 2021-10-14 | 2022-02-25 | 山东大学 | Train state identification and warning system and method based on distributed sound wave sensing |
CN115112763A (en) * | 2022-07-28 | 2022-09-27 | 南京大学 | DAS-based high-speed rail sound barrier health condition real-time monitoring method |
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