CN113125042A - Intelligent expressway temperature measuring method - Google Patents
Intelligent expressway temperature measuring method Download PDFInfo
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- CN113125042A CN113125042A CN201911403478.8A CN201911403478A CN113125042A CN 113125042 A CN113125042 A CN 113125042A CN 201911403478 A CN201911403478 A CN 201911403478A CN 113125042 A CN113125042 A CN 113125042A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000001069 Raman spectroscopy Methods 0.000 claims abstract description 10
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 10
- 230000003287 optical effect Effects 0.000 claims description 18
- 230000002457 bidirectional effect Effects 0.000 claims description 4
- 238000013210 evaluation model Methods 0.000 claims description 2
- 239000013307 optical fiber Substances 0.000 abstract description 12
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000012502 risk assessment Methods 0.000 abstract description 2
- 238000012545 processing Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 3
- 238000012935 Averaging Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
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- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K11/00—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
- G01K11/32—Measuring 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
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Abstract
An intelligent expressway temperature measurement method belongs to the technical field of electronic information and relates to a photoelectric sensing technology. The temperature measurement method of the distributed optical fiber Raman temperature sensing system adopting the cloud computing model is applied to temperature measurement of the intelligent expressway, and can improve the stability of temperature measurement of the intelligent expressway and the rapidity of temperature sensing of the expressway. The novel distributed optical fiber sensing network is formed and becomes an innovative means of a traffic safety risk assessment model of the highway.
Description
Technical Field
The invention belongs to the technical field of electronic information, relates to a photoelectric sensing technology, and particularly relates to an intelligent highway temperature measuring method.
Background
The intelligent highway realizes the thorough, comprehensive, real-time and accurate perception of the highway along with the application scene provided by the development of new generation internet technologies such as cloud computing, big data, internet of things, artificial intelligence and the like, grasps the current situation of each road, each vehicle and each structure and accurately predicts the development trend; the sensed data is transmitted through a stable and large-bandwidth highway communication private network; with mass data, a unified intelligent management platform which is cooperative in sharing, strong and efficient is required to be built, and visualization, mobility, intellectualization and precision of service management, emergency disposal and charging management are achieved. Meanwhile, a public information service system of a full media matrix is also established, so that the public can more easily acquire various information such as highway road conditions and the like. Therefore, the intelligent expressway is to enable the road network to run more safely and smoothly, travel more conveniently and happily, manage more efficiently and intelligently, and enable the road to be more green and economical.
The establishment of a highway traffic safety risk assessment model under various weather conditions is a precondition for making a road network run more safely, and one of basic big data of the model is to obtain the temperature distributed along a highway. From the practical angle, the distributed optical fiber Raman temperature sensing system is superior to other distributed temperature sensing systems in the aspects of sensing length, shock resistance, temperature resolution, dynamic range, linearity and the like.
One expressway is hundreds of kilometers and thousands of kilometers long, and the distributed optical fiber Raman temperature sensing is usually only dozens of kilometers long, so that a plurality of temperature measuring devices are required to be arranged on one expressway, the average distance between service areas arranged on the expressway is not more than 50 kilometers according to the regulations in the Highway traffic engineering and facility design general Specifications along the line, and the maximum distance is not more than 60 kilometers, so that the temperature measuring devices are arranged in the service areas, and the problems of power supply and data uploading of the temperature measuring devices are solved. A plurality of temperature measuring devices are arranged along the highway, and the temperature measuring method and the optical path structure thereof have new characteristics.
Disclosure of Invention
The invention aims to provide a temperature measuring method of a distributed optical fiber Raman temperature sensing system aiming at the situation that a plurality of temperature measuring devices are arranged along a highway, and the stability of temperature measurement of the intelligent highway and the rapidity of temperature sensing can be improved.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
the invention provides an intelligent expressway temperature measuring method, which comprises the following steps:
the method comprises the following steps that firstly, light pulses are periodically injected into a sensing optical cable, and bidirectional backscattering anti-Stokes light information of each section of the sensing optical cable is obtained;
secondly, uploading the backscattered anti-stokes light information plus marks such as geographic coordinates and the like to a server;
and step three, the server symmetrically multiplies the two back scattering anti-Stokes light information of each section of sensing optical cable, and then opens the two back scattering anti-Stokes light information, and demodulates the temperature of each point on the sensing optical cable according to a Raman temperature formula.
And step four, the server establishes a highway traffic safety risk evaluation model under various weather conditions in sections by using a grey system theoretical method, and releases the risk level.
In the intelligent highway temperature measuring method, one of the light pulse realization methods in the first step is that a common laser is obtained by internal or modulation conversion.
In the intelligent highway temperature measuring method, one of the methods for realizing bidirectional backscattering anti-stokes light information of the sensing optical cable in the first step is that light pulses are injected into the starting point and the ending point of each section of the sensing optical cable, and corresponding backscattering anti-stokes light information is respectively obtained.
In the intelligent highway temperature measurement method, one of the implementation methods of the backscattering anti-stokes light information acquired in the first step is backscattering anti-stokes light information which is subjected to digital averaging for multiple times by a hardware module.
One of the methods for measuring the temperature of the intelligent expressway includes the steps that in the second step, the back scattering anti-stokes light information and the labels such as geographic coordinates are added, and the microprocessor forms a datagram format according to a TCP/IP protocol, wherein a frame header comprises state information such as sensing length, number of measuring points, measuring coordinates and the like.
One of the symmetric implementation methods in the third step of the intelligent expressway temperature measuring method is that the sum of the distance lengths in the two back scattering anti-stokes light information of each section of sensing optical cable is just equal to the sensing length.
One of the methods for implementing the intelligent expressway temperature measurement model under various segmented weather conditions in the fourth step is to obtain a disposal plan for acquiring risks of a certain section when the local temperature of the section is lower than zero and the road surface is frozen, and a vehicle owner obtains the risks of the section in real time.
The intelligent expressway temperature measuring method provided by the invention has at least one of the following beneficial effects:
(1) the temperature information along the highway can be accurately acquired through cloud computing of the acquired bidirectional backscattering anti-Stokes light information, and the method has reliable stability and rapidness in temperature sensing;
(2) the temperature can be detected only through detected backscattering anti-Stokes light information without backscattering Stokes light information, and a new research direction is provided for simplifying distributed optical fiber temperature sensing demodulation and reducing cost;
(3) the distributed optical fiber temperature sensor is driven passively, so that the distributed optical fiber temperature sensor is very suitable for long-distance real-time measurement, and has wide application prospect no matter in the application prospect or pipeline field.
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 description of the embodiments or 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 embodiments and drawings can be obtained according to the embodiments shown in the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an intelligent highway temperature measurement method according to the present invention;
the optical fiber Raman spectrometer comprises a light source, a photoelectric Raman transmitting and receiving module, an optical fiber circulator 11, 21, 23, n1, an optical fiber circulator 13, 25, n3, an optical fiber filter 12, 22, 24, n2, a microprocessor 14, 26 and n4, a thin wire is an optical cable, and a thick wire is an electric cable.
Detailed Description
The technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is to be understood that the described embodiments 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.
Example 1
This embodiment is further explained and illustrated for the intelligent highway temperature measurement method, but it is not intended to limit the present invention in any way.
In this embodiment, two sections of sensing optical cables (with lengths of L respectively) in three adjacent service areas are used1,L2Meter) as the object of study, the end point length X is processed for the distance from the first service area1The distance from the second service area to the processing end point is L1-X1Position of meter, length X of processing end point for distance to second service area2The distance from the processing end point of the third service area is L when the position of the meter is a measuring point2-X2The location of the rice. And (3) within a certain time period t, the backscattering anti-Stokes light information of the measurement points obtained by each measurement point after being subjected to multiple digital averaging by the hardware module is uploaded to the server.
First service area end point backscatter anti-stokes light information:
P12(X1)=ξP1R(T,X1)exp(-(αR+αas)X1) (1)
second service area endpoint backscatter anti-stokes light information:
P21(X1)=ξP2R(T,X1)exp(-(αR+αas)(L1-X1)) (2)
P23(X2)=ξP2R(T,X2)exp(-(αR+αas)X2) (3)
the third service area end point backscatters anti-stokes light information:
P32(X2)=ξP3R(T,X2)exp(-(αR+αas)(L2-X2)) (4)
xi in the above formula is the backscattering coefficient, alphaRIs a Rayleigh attenuation coefficient, alphaasIn order to have an anti-stokes attenuation coefficient,
P1injecting optical pulse power, P, into the first service area endpoint2Injecting optical pulse power for the second service area endpoint,
P3injecting optical pulse power, R (T, X) for the third service area endpoint1) Is X1In the formula of Raman temperature, R (T, X)2) Is X2And (4) processing a Raman temperature formula.
Obtained by the following formulas (1) and (2)
In the formula (5), R (T, 0) is the endpoint temperature of the first service area, and is easy to obtain, so as to calculate the temperature between the first service area and the second service area, and so on, calculate the temperature between the adjacent service areas. And the server generates various levels of risk models according to the temperatures for the users to use.
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.
Claims (2)
1. An intelligent expressway temperature measuring method comprises the following steps:
the method comprises the following steps that firstly, light pulses are periodically injected into a sensing optical cable, and bidirectional backscattering anti-Stokes light information of each section of the sensing optical cable is obtained;
secondly, uploading the backscattered anti-stokes light information plus marks such as geographic coordinates and the like to a server;
and step three, the server symmetrically multiplies the two back scattering anti-Stokes light information of each section of sensing optical cable, and then opens the two back scattering anti-Stokes light information, and demodulates the temperature of each point on the sensing optical cable according to a Raman temperature formula.
And step four, the server establishes a highway traffic safety risk evaluation model under various weather conditions in sections by using a grey system theoretical method, and releases the risk level.
2. The intelligent expressway temperature measurement method according to claim 1, wherein one of the symmetrical implementation methods in the third step is that the sum of the distance lengths in the two back-scattered anti-stokes light information of each section of sensing optical cable is exactly equal to the sensing length.
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Citations (7)
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JP2006308541A (en) * | 2005-03-31 | 2006-11-09 | Occ Corp | Method and device for measuring temperature distribution |
CN102853936A (en) * | 2012-09-12 | 2013-01-02 | 威海北洋电气集团股份有限公司 | Remote distributed fiber Raman temperature sensor |
CN103115693A (en) * | 2013-01-17 | 2013-05-22 | 长飞光纤光缆有限公司 | Distributed optical fiber Raman temperature measurement system |
CN104344913A (en) * | 2014-10-09 | 2015-02-11 | 国家电网公司 | Temperature measurement system and method based on fiber grating sensing |
CN105352626A (en) * | 2015-12-04 | 2016-02-24 | 成都瑞莱杰森科技有限公司 | Demodulation method and apparatus of serial fiber Raman temperature system |
CN105953941A (en) * | 2016-04-29 | 2016-09-21 | 深圳艾瑞斯通技术有限公司 | Distributed fiber temperature measurement method and device based on Raman scattering |
CN109448369A (en) * | 2018-10-26 | 2019-03-08 | 中交第公路勘察设计研究院有限公司 | Highway real time execution Risk Calculation method |
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- 2019-12-30 CN CN201911403478.8A patent/CN113125042A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006308541A (en) * | 2005-03-31 | 2006-11-09 | Occ Corp | Method and device for measuring temperature distribution |
CN102853936A (en) * | 2012-09-12 | 2013-01-02 | 威海北洋电气集团股份有限公司 | Remote distributed fiber Raman temperature sensor |
CN103115693A (en) * | 2013-01-17 | 2013-05-22 | 长飞光纤光缆有限公司 | Distributed optical fiber Raman temperature measurement system |
CN104344913A (en) * | 2014-10-09 | 2015-02-11 | 国家电网公司 | Temperature measurement system and method based on fiber grating sensing |
CN105352626A (en) * | 2015-12-04 | 2016-02-24 | 成都瑞莱杰森科技有限公司 | Demodulation method and apparatus of serial fiber Raman temperature system |
CN105953941A (en) * | 2016-04-29 | 2016-09-21 | 深圳艾瑞斯通技术有限公司 | Distributed fiber temperature measurement method and device based on Raman scattering |
CN109448369A (en) * | 2018-10-26 | 2019-03-08 | 中交第公路勘察设计研究院有限公司 | Highway real time execution Risk Calculation method |
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