CN112611442A - Railway bridge health monitoring method and system based on track accompanying optical cable - Google Patents
Railway bridge health monitoring method and system based on track accompanying optical cable Download PDFInfo
- Publication number
- CN112611442A CN112611442A CN202011347894.3A CN202011347894A CN112611442A CN 112611442 A CN112611442 A CN 112611442A CN 202011347894 A CN202011347894 A CN 202011347894A CN 112611442 A CN112611442 A CN 112611442A
- Authority
- CN
- China
- Prior art keywords
- train
- track
- bridge
- mapping
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000003287 optical effect Effects 0.000 title claims abstract description 84
- 230000036541 health Effects 0.000 title claims abstract description 68
- 238000012544 monitoring process Methods 0.000 title claims abstract description 45
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000001514 detection method Methods 0.000 claims abstract description 15
- 238000013507 mapping Methods 0.000 claims description 119
- 239000013307 optical fiber Substances 0.000 claims description 69
- 238000011156 evaluation Methods 0.000 claims description 17
- 238000009434 installation Methods 0.000 claims description 15
- 239000000835 fiber Substances 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 6
- 238000003062 neural network model Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 abstract description 7
- 230000002159 abnormal effect Effects 0.000 abstract description 5
- 230000005856 abnormality Effects 0.000 abstract 1
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 229910010888 LiIn Inorganic materials 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000001845 vibrational spectrum Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
一种基于轨道伴行光缆的铁路桥梁健康监测方法，包括：在铁路桥梁健康状态下，通过轨道伴行光缆采集列车运行时在铁路桥梁上产生的桥梁振动信号作为健康样本信号；通过轨道伴行光缆实时采集列车运行时在铁路桥梁上产生的桥梁振动信号，并通过轨道伴行光缆对列车运行区域进行监控，获取所述桥梁振动信号与列车运行区域的对应关系；将对应的列车运行区域相同的桥梁振动信号与健康样本信号进行对比，获取两者之间的信号差异。本发明根据当前的列车运行产生的桥梁振动信号相对于健康样本信号的变化对桥梁监控状态进行评估，从而及时根据桥梁振动信号获知异常情况，以便及时启动桥梁异常排查程序，对铁路桥梁进行专项检测和评估，保证铁路桥梁的安全使用。
A method for monitoring the health of railway bridges based on track-accompanying optical cables, comprising: in a healthy state of the railway bridges, collecting bridge vibration signals generated on the railway bridges when a train is running through the track-accompanying optical cables as health sample signals; The optical cable collects the bridge vibration signal generated on the railway bridge when the train is running in real time, and monitors the train running area through the track accompanying optical cable, and obtains the corresponding relationship between the bridge vibration signal and the train running area; the corresponding train running area is the same The vibration signal of the bridge is compared with the signal of the healthy sample to obtain the signal difference between the two. The invention evaluates the monitoring state of the bridge according to the change of the bridge vibration signal generated by the current train operation relative to the healthy sample signal, so as to know the abnormal situation in time according to the bridge vibration signal, so as to start the bridge abnormality investigation program in time, and carry out special detection on the railway bridge. and assessment to ensure the safe use of railway bridges.
Description
Technical Field
The invention relates to the field of railway bridge safety monitoring, in particular to a railway bridge health monitoring method and system based on a track accompanying optical cable.
Background
The railway bridge is used as a necessary structure for realizing the crossing and extension of various barriers by the railway, and the health state of the railway bridge during operation has important significance for guaranteeing the safety of railway transportation. Along with the accumulation of the service time of a railway, the influence of factors such as the aging of structural materials of the bridge, the degradation of structural performance and the like, the monitoring and the evaluation of the health state are more important, and the traditional method is to install a key sensor at a specific part on the bridge to realize the monitoring and the evaluation of the health state of the bridge, so that the efficiency is low and the cost is high.
In fact, when the distance between the train on the track and the bridge to be monitored is hundreds or thousands of meters, the bridge already starts to vibrate according to a certain frequency, the vibration along the railway can be timely collected by a sensing system, and the relative distance between the train and the bridge can be further judged. Therefore, the vibration signals of the train running on the track are collected in real time, and the long-term monitoring of the vibration of the railway bridge structure can be realized.
Disclosure of Invention
In order to overcome the defect of monitoring the health state of the railway bridge in the prior art, the invention provides a railway bridge health monitoring method and system based on a track accompanying optical cable.
One of the purposes of the invention adopts the following technical scheme:
a railway bridge health monitoring method based on a track accompanying optical cable comprises the following steps:
s1, acquiring a bridge vibration signal generated on the railway bridge when the train runs as a health sample signal through a track accompanying optical cable in a healthy state of the railway bridge, and associating the health sample signal with a running area of the train corresponding to the acquired health sample signal;
s2, acquiring bridge vibration signals generated on a railway bridge when a train runs in real time through a track accompanying optical cable, monitoring a train running area through the track accompanying optical cable, and acquiring the corresponding relation between the bridge vibration signals and the train running area;
and S4, comparing the bridge vibration signals with the same corresponding train running area with the health sample signals to obtain the signal difference between the bridge vibration signals and the health sample signals.
Preferably, step S3 is further included after step S2: setting a neural network model, forming sample data by using bridge vibration signals and health sample signals which are identical in corresponding train operation areas, and manually marking signal differences on the sample data; learning the manually marked sample data through a neural network model to obtain a signal difference calculation model;
step S4 specifically includes: and forming verification data by using the acquired bridge vibration signals and the health sample signals which are the same with the corresponding train running areas, and inputting the verification data into a signal difference calculation model to obtain corresponding signal differences.
Preferably, the method further comprises step S5: acquiring a corresponding relation between the signal difference and the bridge evaluation state;
step S6 is also included after step S4: and acquiring the bridge evaluation state corresponding to the signal difference in the step S4 by referring to the corresponding relation.
Preferably, in step S1, the health sample signal is further associated with a train type and a vehicle speed; in step S2, the acquired bridge vibration signal is also associated with the train type and the vehicle speed; step S4 specifically includes: and comparing the bridge vibration signals with the same train running area, train type and train speed with the health sample signals to obtain the signal difference between the two signals.
Preferably, before step S1, a mapping relationship between optical fiber length nodes of the track accompanying optical cable and track positions is obtained first to detect bridge vibration signals and train positions;
the vibration signal generated when the train runs on the track is transmitted along the track in two directions, and the method for associating the bridge vibration signal with the train running area comprises the following steps:
monitoring an optical fiber length node corresponding to a vibration signal generated by train operation in real time through a track accompanying optical cable, and acquiring a track position corresponding to the optical fiber length node as a train operation area;
monitoring a bridge vibration signal in real time through an optical fiber length node corresponding to the railway bridge;
and associating the bridge vibration signal with the train operation area corresponding to the vibration signal obtained at the same moment.
Preferably, the method for mapping the optical fiber length node of the track accompanying optical cable and the track position comprises the following steps:
s101, recording a train carrying a mapping system as a mapping train, carrying out geographical mapping through the mapping system arranged on the mapping train, and acquiring geographical coordinate information of a track in real time;
s102, acquiring a vibration signal generated by running of a train on a track through an optical fiber in a track accompanying optical cable; recording a vibration signal corresponding to the mapping train as a target vibration signal, and acquiring an optical fiber length node corresponding to the target vibration signal according to the length of the mapping train and the installation position of the mapping system on the mapping train;
s103, associating the geographical coordinate information acquired by the same mapping train at the same time with the generated target vibration signal, and realizing mapping between the optical fiber length node corresponding to the target vibration signal and the geographical coordinate information, thereby realizing mapping between the track accompanying optical cable and the position between tracks.
Preferably, in step S103, a target track is selected first, and geographic coordinate information acquired when the mapping train operates on the target track is associated with the generated target vibration signal; the target track is a track between two adjacent stations along the railway.
Preferably, in step S102, when a plurality of trains run in the same direction on the target track, the track accompanying optical cable obtains a set of vibration signals at the same time, the number of the set of vibration signals is corresponding to the number of the trains running in the same direction, and each signal in the set of vibration signals corresponds to a different position of the track accompanying optical cable; and acquiring the arrangement sequence of the mapping train in the plurality of trains according to the departure time of the station or the arrival time of the train, comparing the arrangement sequence with the sequence of any group of vibration signals on the track accompanying optical cable, and acquiring the target vibration signals of the corresponding mapping train on the track accompanying optical cable at any moment.
Preferably, the length value of the optical fiber length node along the railway is smaller than or equal to the distance of the corresponding mapping train running on two adjacent geographic coordinate information acquisition time intervals.
Preferably, in step S102, the method for acquiring the optical fiber length node corresponding to the target vibration signal according to the length of the mapping train and the installation position of the mapping system includes: firstly, acquiring a length value of an optical fiber length node on a railway line, and when acquiring a target vibration signal generated by a mapping train at any moment, firstly acquiring a vibration detection range corresponding to the target vibration signal; the optical fiber length node corresponding to the target vibration signal is an intercepting range which takes the installation position of the mapping system on the mapping train as the center and takes the length value as the diameter in the corresponding vibration detection range; the length value is a fixed value.
Preferably, in step S102, the method for acquiring the optical fiber length node corresponding to the target vibration signal according to the length of the mapping train and the installation position of the mapping system includes: dividing a track accompanying optical cable into a plurality of optical fiber length nodes along the track extension direction, and acquiring the optical fiber length nodes within the vibration detection range of a target vibration signal when the target vibration signal generated by a mapping train at any moment is acquired; and acquiring an optical fiber length node where the mapping system is located as an optical fiber length node corresponding to the target vibration signal according to the mapping train length and the mapping system installation position.
The second purpose of the invention adopts the following technical scheme:
a railway bridge health monitoring system based on a track accompanying optical cable comprises a storage module and a processor; the storage module stores a computer program, and the processor is used for implementing the method for monitoring the health of the railway bridge based on the track accompanying optical cable according to claim 1, 2 or 3 when executing the computer program.
The invention has the advantages that:
(1) the bridge monitoring state is evaluated according to the change of the bridge vibration signal generated by the current train operation relative to the health sample signal, so that the abnormal condition is timely obtained according to the bridge vibration signal, the bridge abnormity troubleshooting program is timely started, the special detection and evaluation are carried out on the railway bridge, and the safe use of the railway bridge is ensured.
(2) According to the change of the vibration waveform transmitted to the railway bridge in the running process of the train in different periods, the real-time monitoring and the preliminary evaluation of the health state of the railway bridge are realized, so that the abnormity of the bridge can be found in time.
(3) By combining the method for mapping the optical fiber length node and the track position of the track accompanying optical cable, provided by the invention, the accurate mapping of the optical fiber length node and the track position is ensured, so that the accurate mapping between the bridge vibration signal and the train running area is ensured, the accurate mapping between the bridge vibration signal acquired later and the health sample signal is ensured, the interference of factors such as position deviation on the signal difference between the bridge vibration signal and the health sample signal is avoided, and the reliability of the railway bridge health state evaluation is further ensured.
(4) The invention utilizes a distributed optical fiber acoustic wave sensing system to acquire strong vibration signals generated when a train runs on a track in real time through a redundant core in a track accompanying optical cable, the vibration signals can be rapidly transmitted to the front and the rear of the train along the track and cause forced vibration of bridges along the railway, and a long-term monitoring health database can be established for all bridges along the railway by acquiring bridge vibration signals within a period of time and analyzing the vibration spectrum characteristics of the bridge vibration signals, so that the safety monitoring of abnormal vibration of a bridge structure is realized, and the operation and maintenance safety of a railway system is guaranteed.
Drawings
Fig. 1 is a flowchart of a method for mapping positions between a track accompanying optical cable and a track according to embodiment 1;
fig. 2 is a schematic view of an optical fiber length node acquisition scenario provided in embodiment 1;
fig. 3 is a schematic view of another optical fiber length node acquisition scenario proposed in embodiment 1;
the figure is as follows: 3-train, 4-mapping system, 5-track;
fig. 4 is a flowchart of a method for monitoring health of a railroad bridge based on a track accompanying optical cable according to embodiment 4;
fig. 5 is a flowchart of a method for monitoring health of a railroad bridge based on a track accompanying optical cable according to embodiment 5;
fig. 6 is a flowchart of a method for monitoring health of a railroad bridge based on a track accompanying optical cable according to embodiment 6.
Detailed Description
The distributed optical fiber sound wave sensing technology is a novel sensing technology which realizes vibration and sound field continuous distributed detection by utilizing a single mode optical fiber for communication;
track accompanying optical cable: a multi-core communication cable laid along the railway track;
a railway bridge: the railway crossing structure is a structure constructed by railway crossing rivers, lakes, straits, valleys or other obstacles and realizing the three-dimensional crossing of railway lines and railway lines or roads.
Example 1
Referring to fig. 1, the method for mapping a track accompanying optical cable and an inter-track position according to the present embodiment includes the following steps.
S101, recording the train with the mapping system as a mapping train, carrying out geographical mapping through the mapping system installed on the mapping train, and collecting geographical coordinate information of the track in real time.
S102, acquiring a vibration signal generated by running of a train on a track through an optical fiber in a track accompanying optical cable; recording a vibration signal corresponding to the mapping train as a target vibration signal, and acquiring an optical fiber length node corresponding to the target vibration signal according to the length of the mapping train and the installation position of the mapping system on the mapping train. In the specific implementation, in the step, the vibration signal can be collected through the redundant optical fiber in the track accompanying optical cable.
Specifically, in this step, the method for obtaining the optical fiber length node corresponding to the target vibration signal according to the length of the mapping train and the installation position of the mapping system includes: when a target vibration signal generated by a mapping train at any moment is obtained, firstly, a length value of an optical fiber length node on a railway line is obtained, and a vibration detection range corresponding to the target vibration signal is obtained; the optical fiber length node corresponding to the target vibration signal is an intercepting range which takes the installation position of the surveying and mapping system on the surveying and mapping train as the center and takes the length value as the diameter in the vibration detection range corresponding to the target vibration signal; the length value is a fixed value. Referring to fig. 2 specifically, in this embodiment, the corresponding optical fiber length node n is calculated according to the geographical coordinate information acquired by the mapping train each time and the vibration detection range Dn of the mapping train. In the specific implementation of this embodiment, the length value corresponds to the mapping train, and the length value is less than or equal to the distance that the corresponding mapping train runs on two adjacent geographic coordinate information acquisition time intervals, so as to avoid the situation that the same optical fiber length node maps two different geographic coordinates. In this embodiment, the range of the optical fiber length node n corresponding to the mapping train at the current time is shown in fig. 2.
In specific implementation, the optical fiber length node corresponding to the target vibration signal is obtained according to the length of the mapping train and the installation position of the mapping system, and the method can be realized by the following steps: dividing a track accompanying optical cable into a plurality of optical fiber length nodes along the track extension direction, and acquiring the optical fiber length nodes within the vibration detection range of a target vibration signal when the target vibration signal generated by a mapping train at any moment is acquired; and acquiring an optical fiber length node where the mapping system is located as an optical fiber length node corresponding to the target vibration signal according to the mapping train length and the mapping system installation position. For example, as shown in fig. 3, the pre-partitioned fiber length nodes on the track-following fiber optic cable comprise n-4 to n + 3. When the surveying and mapping train 3 is located at the position shown in fig. 3, the vibration detection range is Dn, the vibration detection range Dn spans from n-3 to n +1 of the optical fiber length node, the length of the surveying and mapping train 3 and the installation position of the surveying and mapping system 4 on the surveying and mapping train 3 are combined, the current surveying and mapping system is located on the optical fiber length node n, the optical fiber length node n serves as an optical fiber length node corresponding to a current target vibration signal, and geographic coordinate information collected by the surveying and mapping train at the current moment is mapped with the optical fiber length node n. In the specific implementation of this embodiment, the length of each optical fiber length node along the railway line should be less than or equal to the minimum distance that the mapping train runs on two adjacent geographic coordinate information acquisition time intervals, so as to avoid the situation that the same optical fiber length node maps two different geographic coordinates.
S103, associating the geographical coordinate information acquired by the same mapping train at the same time with the generated target vibration signal, and realizing mapping between the optical fiber length node corresponding to the target vibration signal and the geographical coordinate information, thereby realizing mapping between the track accompanying optical cable and the position between tracks.
In specific implementation, in step S103, a target track is first selected, and when a mapping train enters the target track, geographic coordinate information acquired when the mapping train runs on the target track is associated with a generated target vibration signal, so that an optical fiber length node corresponding to the target vibration signal is mapped with the geographic coordinate information associated with the target vibration signal.
In this embodiment, the geographic coordinate information acquired by the surveying and mapping system is a coordinate of the surveying and mapping system along the track, that is, a geographic coordinate of the track. In the embodiment, the geographical coordinates of the track and the optical fiber length nodes are mapped by surveying and mapping the operation of the train, so that the measurement is accurate, the automation degree is high, and the efficiency is high.
Example 2
In step S102 of this embodiment, when a plurality of trains run in the same direction on the target track, the track accompanying optical cable obtains a set of vibration signals at the same time, the number of the set of vibration signals is corresponding to the number of the trains running in the same direction, and each signal in the set of vibration signals corresponds to a different position of the track accompanying optical cable; and acquiring the arrangement sequence of the mapping train in the plurality of trains according to the departure time of the station or the arrival time of the train, comparing the arrangement sequence with the sequence of any group of vibration signals on the track accompanying optical cable, and acquiring the target vibration signals of the corresponding mapping train on the track accompanying optical cable at any moment.
It is assumed that, in the present embodiment, the track R can be set as the target track. The method comprises the steps that a track accompanying optical cable L of a track R collects a target vibration signal H generated by a surveying and mapping train C, geographic coordinate information D collected by a surveying and mapping system carried by the surveying and mapping train C is associated with the target vibration signal H with the same collection time, and an optical fiber length node corresponding to the vibration signal H and the geographic coordinate information D are mapped.
Specifically, the track R where the target vibration signal H is located refers to a track between two adjacent stations where the vibration signal H is located, and may be specifically referred to as (H; R1, R2), where H denotes the target vibration signal, R1 and R2 denote two adjacent train stations where the mapping train passes in sequence, and (H; R1, R2) denotes that the mapping train corresponding to the vibration signal H travels from the train station R1 to the train station R2.
When a plurality of trains run in the same direction on the measured track R and at least one mapping train runs on the measured track R, firstly, the arrangement sequence of the plurality of trains running in the same direction is obtained, and the target vibration signal of the corresponding mapping train on the track accompanying optical cable is obtained according to the arrangement sequence.
Suppose that there are 3 vibration signals H on the track accompanying optical cable L1、H2、H3Synchronously generated and the 3 vibration signals move in the same direction on the track accompanying optical cable L, and in the signal moving direction, H1At the forefront, H3At the end of the run. Meanwhile, three trains C are arranged on the track R corresponding to the track accompanying optical cable L1、C2、C3Running in the same direction and the running direction is equal to 3 vibration signals H1、H2、H3Are in the same direction of movement, and C1At the forefront, C3At the end of the run. Then, it is known that the vibration signal H1Associated train C1Vibration signal H2Associated train C2Vibration signal H3Associated train C3。
Suppose, train C2For mapping trains, the vibration signal H2Is a target vibration signal. Train C2The carried geographic coordinate information collected by the mapping system is recorded as D2Obtaining a target vibration signal H2Corresponding optical fiber length node and geographic coordinate information D2The mapping relationship of (2).
Example 3
In step S103 of embodiment 2, the target track is a track between two adjacent stations along the railway. Therefore, the track and the track accompanying optical cable are divided by the distance between two adjacent stations, so that the optical fiber detectors are conveniently arranged at the stations, the optical fiber length nodes are accurately positioned, and the mapping precision of the optical fiber length nodes and the geographic coordinates is further improved.
In this embodiment, two adjacent stations on a line are marked as a and B, and a track accompanying optical cable between the stations a and B of the train is marked as LABUnit track accompanying optical cable LABCollected vibration signal HiNotation as { vibration signal HiTime of acquisition TiOptical fiber length node LiIn which Ti is the vibration signal HiWith Li representing the vibration signal HiCorresponding fiber length nodes. Meanwhile, the geographic coordinate information Dj collected by a mapping system carried by a mapping train running on the track between the train stations A and B is recorded as { geographic coordinate information DjTime of acquisition TjAnd Tj represents the acquisition time of the geographic coordinate information Dj. Thus, in this embodiment, it can be confirmed that the track accompanying optical cable mark L is first identified according to the train stations a and BABTarget vibration signal { vibration signal H }iTime of acquisition TiOptical fiber length node LiAnd associating the geographic coordinate information Dj with the optical fiber length node Li according to the condition that Ti is Tj, and acquiring a mapping relation between the two.
Example 4
The embodiment provides a railway bridge health monitoring method based on a track accompanying optical cable, which comprises the following steps.
And S1, acquiring a bridge vibration signal generated on the railway bridge when the train runs as a health sample signal through the track accompanying optical cable in the healthy state of the railway bridge, and associating the health sample signal with the running area of the train corresponding to the acquired health sample signal.
Due to the fact that the vibration signals have transmissibility, the vibration signals generated when the train runs on the track are transmitted in two directions along the track, and the transmission distance is related to the track material, the terrain and the like. Therefore, for different railway bridges, bridge vibration signals transmitted to the railway bridge by trains in train operation areas with different relative distances from the bridge can be collected according to the geographical positions, the length of the bridge and the like of the trains as health sample signals, and specifically, the bridge vibration signals when the trains operate on the railway bridge can be collected as the health sample signals, and the bridge vibration signals when the trains operate under the railway bridge can also be collected as the health sample signals; the former is a signal directly acted on a track by train operation, and the latter is a transmission range signal of a vibration signal on the track of the train.
S2, acquiring bridge vibration signals generated on a railway bridge when a train runs in real time through a track accompanying optical cable, monitoring a train running area through the track accompanying optical cable, and acquiring the corresponding relation between the bridge vibration signals and the train running area;
in specific implementation, in this embodiment, before step S1, a mapping relationship between the optical fiber length node of the track accompanying optical cable and the track position is first obtained to detect the bridge vibration signal and the train position.
Specifically, the method for associating the bridge vibration signal with the train operation area comprises the following steps:
the first step is as follows: monitoring an optical fiber length node corresponding to a vibration signal generated by train operation in real time through a track accompanying optical cable, and acquiring a track position corresponding to the optical fiber length node as a train operation area.
The second step is that: and monitoring the bridge vibration signal in real time through the optical fiber length nodes corresponding to the railway bridge.
The third step: and associating the bridge vibration signal with the train operation area corresponding to the vibration signal obtained at the same moment.
In this embodiment, the nature of the health sample signal is a bridge vibration signal, and the correspondence between the health sample signal and the corresponding train operation area when the health sample signal is acquired is also obtained according to the above method.
S4, comparing the bridge vibration signals with the healthy sample signals in the same train running area to obtain the signal difference between the bridge vibration signals and the healthy sample signals, so that the monitoring state of the bridge is evaluated according to the change of the current bridge vibration signals relative to the healthy sample signals, the abnormal condition is timely obtained according to the bridge vibration signals, the bridge abnormal investigation program is timely started, the railway bridge is specially detected and evaluated, and the safe use of the railway bridge is ensured.
In specific implementation, in this embodiment, the mapping relationship between the optical fiber length node and the track position of the track accompanying optical cable may be obtained according to an existing manner of arranging the grating sensor on the track accompanying optical cable or a manner of holding the optical detector by hand, or the mapping relationship between the optical fiber length node and the track position of the track accompanying optical cable may be obtained through example 1, 2, or 3.
Example 5
During specific implementation, the bridge vibration signals and the health sample signals which correspond to the same train running area can be compared manually to obtain the signal difference between the bridge vibration signals and the health sample signals.
In the embodiment, a method for comparing the bridge vibration signal and the health sample signal in the same train running area through a machine is further provided.
In this embodiment, step S3 is further included after step S2: setting a neural network model, forming sample data by using bridge vibration signals and health sample signals which are identical in corresponding train operation areas, and manually marking signal differences on the sample data; and learning the manually marked sample data through a neural network model to obtain a signal difference calculation model.
Step S4 specifically includes: and forming verification data by using the acquired bridge vibration signals and the health sample signals which are the same with the corresponding train running areas, and inputting the verification data into a signal difference calculation model to obtain corresponding signal differences.
In this way, in the present embodiment, the signal difference calculation model is obtained by machine learning of the historical big data. And then comparing the bridge vibration signals in the same train running area with the health sample signals through the fixed signal difference calculation model to obtain the signal difference between the bridge vibration signals and the health sample signals, so that the machine high-efficiency and reliability evaluation of the signal difference is realized.
Example 6
With respect to embodiment 5, in this embodiment, the method further includes step S5: and acquiring the corresponding relation between the signal difference and the bridge evaluation state.
Step S6 is also included after step S4: with reference to the correspondence relationship, a bridge evaluation state corresponding to the signal difference described in step S4 is acquired.
In example 5, only the signal difference is output, and a professional operator is required to further evaluate the bridge state according to the signal difference. Because the signal difference output by the signal difference calculation module is obtained by learning the manual label, the representation form of the signal difference can be manually set, so that the representation form of the signal difference of the color lake can be set as required to meet the requirements of different operators. Meanwhile, the accurate judgment and the depth evaluation of the bridge state are facilitated through the observation of signal differences by operators.
In the embodiment, the bridge evaluation state can be directly obtained according to the corresponding relation between the signal difference and the bridge evaluation state, so that the professional requirements on operators are reduced, and the bridge evaluation efficiency is further improved. In the embodiment, the real-time monitoring and the preliminary evaluation of the health state of the railway bridge are realized according to the change of the vibration waveform transmitted to the railway bridge when the train operates in different periods, so that the abnormity of the bridge can be found in time and the investigation can be carried out.
Example 7
In contrast to embodiment 5, in this embodiment, in step S1, the health sample signal is further associated with the train type and the vehicle speed; in step S2, the acquired bridge vibration signal is also associated with the train type and the vehicle speed; step S4 specifically includes: and comparing the bridge vibration signals with the same train running area, train type and train speed with the health sample signals to obtain the signal difference between the two signals.
Specifically, in the embodiment, by associating the train type and the train speed, the signal difference between the bridge vibration signal and the corresponding health sample signal caused by the train itself is further weakened, so that the accuracy of evaluating the health state of the railway bridge according to the signal difference is improved.
Similarly, in the specific implementation, under the condition that the healthy sample signal is not related to the train type and the train speed, the health state of the railway bridge can be evaluated according to the difference of the waveform change trend of the bridge vibration signal relative to the waveform change trend of the corresponding healthy sample signal.
Example 8
The embodiment provides a railway bridge health monitoring system based on a track accompanying optical cable, which comprises a storage module and a processor; the storage module stores a computer program, and the processor is used for implementing the method for monitoring the health of the railway bridge based on the track accompanying optical cable according to the embodiment 4, 5, 6 or 7 when the computer program is executed.
The invention is not to be considered as limited to the specific embodiments shown and described, but is to be understood to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011347894.3A CN112611442A (en) | 2020-11-26 | 2020-11-26 | Railway bridge health monitoring method and system based on track accompanying optical cable |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011347894.3A CN112611442A (en) | 2020-11-26 | 2020-11-26 | Railway bridge health monitoring method and system based on track accompanying optical cable |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112611442A true CN112611442A (en) | 2021-04-06 |
Family
ID=75225287
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011347894.3A Pending CN112611442A (en) | 2020-11-26 | 2020-11-26 | Railway bridge health monitoring method and system based on track accompanying optical cable |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112611442A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114964456A (en) * | 2022-04-20 | 2022-08-30 | 中国矿业大学 | Beam bridge steel structure vibration safety monitoring system utilizing vehicle speed monitoring |
| CN117787573A (en) * | 2024-02-27 | 2024-03-29 | 山东省国土空间生态修复中心(山东省地质灾害防治技术指导中心、山东省土地储备中心) | Saline-alkali soil treatment early warning method, device and medium |
Citations (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001318028A (en) * | 2000-05-02 | 2001-11-16 | Modern Engineering & Design:Kk | System and method for monitoring continuity health of bridge |
| JP2007333635A (en) * | 2006-06-16 | 2007-12-27 | East Japan Railway Co | Bridge soundness evaluation system, bridge soundness evaluation method, and bridge soundness evaluation program |
| WO2012152575A1 (en) * | 2011-05-06 | 2012-11-15 | Siemens Aktiengesellschaft | A method for railway monitoring based on fiber optics |
| CN103134432A (en) * | 2013-01-25 | 2013-06-05 | 南京大学 | Bridge displacement monitoring system based on optical fiber sensors |
| CN103215865A (en) * | 2013-04-03 | 2013-07-24 | 武汉理工大学 | Method for dynamically monitoring health states of railway continuous-beam bridge and rail overlapping device |
| JP2015102329A (en) * | 2013-11-21 | 2015-06-04 | 東日本旅客鉄道株式会社 | Train information estimation method and bridge soundness evaluation method |
| WO2016098134A1 (en) * | 2014-12-16 | 2016-06-23 | Geointelligence S.R.L. | System and method to monitor rails |
| 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 |
| CN106394612A (en) * | 2016-10-24 | 2017-02-15 | 南京派光信息技术有限公司 | Crossing train approaching real-time pre-warning system and method based on distributed optical fibers |
| CN106442720A (en) * | 2016-08-29 | 2017-02-22 | 重庆交通大学 | An acoustic-vibration track bridge health monitoring device, system and method |
| CN206974540U (en) * | 2017-04-26 | 2018-02-06 | 南京大学 | A kind of high-speed railway rail safety on-line monitoring system based on existing telecommunication optical fiber |
| JP2018031676A (en) * | 2016-08-24 | 2018-03-01 | 公益財団法人鉄道総合技術研究所 | Method for inspecting structural performance of railroad bridge |
| CN109556897A (en) * | 2018-11-16 | 2019-04-02 | 王玉波 | A kind of bridge construction system in science of bridge building field |
| CN110553861A (en) * | 2019-08-29 | 2019-12-10 | 朔黄铁路发展有限责任公司 | train information monitoring method, device and equipment |
| CN110631681A (en) * | 2019-09-26 | 2019-12-31 | 华北水利水电大学 | A detection method for the safe operation of high-speed rail tracks based on optical fiber distributed vibration monitoring |
| CN110715684A (en) * | 2019-09-30 | 2020-01-21 | 中国科学院合肥物质科学研究院 | Bridge cable clip health monitoring system and method based on optical fiber sensing |
| CN110926523A (en) * | 2019-10-07 | 2020-03-27 | 上海黑山科技有限公司 | High-speed railway bridge safety perception and early warning system under complicated abominable condition |
| CN111497902A (en) * | 2019-12-31 | 2020-08-07 | 南京大学 | phi-OTDR (optical time Domain reflectometer) -based high-speed rail health online monitoring method |
| WO2020188585A1 (en) * | 2019-03-16 | 2020-09-24 | Livehooah Technologies Private Limited | System and method for structural health monitoring using internet of things and machine learning |
| CN111830546A (en) * | 2020-07-20 | 2020-10-27 | 北京天润海图科技有限公司 | Outdoor railcar landmark deployment method |
| CN111854919A (en) * | 2020-07-16 | 2020-10-30 | 南京大学 | A railway health monitoring method based on distributed optical fiber vibration sensing system |
| CN111845843A (en) * | 2020-07-13 | 2020-10-30 | 南京大学 | A method for detecting safe operation of high-speed rail tracks based on optical fiber distributed vibration monitoring |
-
2020
- 2020-11-26 CN CN202011347894.3A patent/CN112611442A/en active Pending
Patent Citations (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001318028A (en) * | 2000-05-02 | 2001-11-16 | Modern Engineering & Design:Kk | System and method for monitoring continuity health of bridge |
| JP2007333635A (en) * | 2006-06-16 | 2007-12-27 | East Japan Railway Co | Bridge soundness evaluation system, bridge soundness evaluation method, and bridge soundness evaluation program |
| WO2012152575A1 (en) * | 2011-05-06 | 2012-11-15 | Siemens Aktiengesellschaft | A method for railway monitoring based on fiber optics |
| CN103134432A (en) * | 2013-01-25 | 2013-06-05 | 南京大学 | Bridge displacement monitoring system based on optical fiber sensors |
| CN103215865A (en) * | 2013-04-03 | 2013-07-24 | 武汉理工大学 | Method for dynamically monitoring health states of railway continuous-beam bridge and rail overlapping device |
| JP2015102329A (en) * | 2013-11-21 | 2015-06-04 | 東日本旅客鉄道株式会社 | Train information estimation method and bridge soundness evaluation method |
| WO2016098134A1 (en) * | 2014-12-16 | 2016-06-23 | Geointelligence S.R.L. | System and method to monitor rails |
| 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 |
| JP2018031676A (en) * | 2016-08-24 | 2018-03-01 | 公益財団法人鉄道総合技術研究所 | Method for inspecting structural performance of railroad bridge |
| CN106442720A (en) * | 2016-08-29 | 2017-02-22 | 重庆交通大学 | An acoustic-vibration track bridge health monitoring device, system and method |
| CN106394612A (en) * | 2016-10-24 | 2017-02-15 | 南京派光信息技术有限公司 | Crossing train approaching real-time pre-warning system and method based on distributed optical fibers |
| CN206974540U (en) * | 2017-04-26 | 2018-02-06 | 南京大学 | A kind of high-speed railway rail safety on-line monitoring system based on existing telecommunication optical fiber |
| CN109556897A (en) * | 2018-11-16 | 2019-04-02 | 王玉波 | A kind of bridge construction system in science of bridge building field |
| WO2020188585A1 (en) * | 2019-03-16 | 2020-09-24 | Livehooah Technologies Private Limited | System and method for structural health monitoring using internet of things and machine learning |
| CN110553861A (en) * | 2019-08-29 | 2019-12-10 | 朔黄铁路发展有限责任公司 | train information monitoring method, device and equipment |
| CN110631681A (en) * | 2019-09-26 | 2019-12-31 | 华北水利水电大学 | A detection method for the safe operation of high-speed rail tracks based on optical fiber distributed vibration monitoring |
| CN110715684A (en) * | 2019-09-30 | 2020-01-21 | 中国科学院合肥物质科学研究院 | Bridge cable clip health monitoring system and method based on optical fiber sensing |
| CN110926523A (en) * | 2019-10-07 | 2020-03-27 | 上海黑山科技有限公司 | High-speed railway bridge safety perception and early warning system under complicated abominable condition |
| CN111497902A (en) * | 2019-12-31 | 2020-08-07 | 南京大学 | phi-OTDR (optical time Domain reflectometer) -based high-speed rail health online monitoring method |
| CN111845843A (en) * | 2020-07-13 | 2020-10-30 | 南京大学 | A method for detecting safe operation of high-speed rail tracks based on optical fiber distributed vibration monitoring |
| CN111854919A (en) * | 2020-07-16 | 2020-10-30 | 南京大学 | A railway health monitoring method based on distributed optical fiber vibration sensing system |
| CN111830546A (en) * | 2020-07-20 | 2020-10-27 | 北京天润海图科技有限公司 | Outdoor railcar landmark deployment method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114964456A (en) * | 2022-04-20 | 2022-08-30 | 中国矿业大学 | Beam bridge steel structure vibration safety monitoring system utilizing vehicle speed monitoring |
| CN117787573A (en) * | 2024-02-27 | 2024-03-29 | 山东省国土空间生态修复中心(山东省地质灾害防治技术指导中心、山东省土地储备中心) | Saline-alkali soil treatment early warning method, device and medium |
| CN117787573B (en) * | 2024-02-27 | 2024-05-28 | 山东省国土空间生态修复中心(山东省地质灾害防治技术指导中心、山东省土地储备中心) | Saline-alkali soil treatment early warning method, device and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111256924B (en) | Intelligent monitoring method for expansion joint of large-span high-speed railway bridge | |
| CN107588915B (en) | A Method for Recognition of Bridge Influence Lines | |
| Khan et al. | Integration of structural health monitoring and intelligent transportation systems for bridge condition assessment: Current status and future direction | |
| CN110789566B (en) | Track defect monitoring method and monitoring equipment based on axle box acceleration signal | |
| CN105844038B (en) | A combined optimal layout method for multi-type traffic detectors on expressways | |
| CN114575927A (en) | Rail transit safety monitoring system and method | |
| CN112611442A (en) | Railway bridge health monitoring method and system based on track accompanying optical cable | |
| CN112550378B (en) | Method, system and storage for mapping positions between track accompanying optical cable and track | |
| WO2022056677A1 (en) | Monitoring, collection and analysis systems and methods thereof, and device, storage medium, program and program product | |
| CN102141375A (en) | Line full section automatic detection system | |
| CN112032577B (en) | Oil stealing and leakage monitoring device and method for optical cable in oil pipeline | |
| CN113324648A (en) | Portable high-speed railway wheel rail vibration space-time synchronization test method and system | |
| BR102015030366A2 (en) | system to monitor the operating conditions of a train | |
| CN207395997U (en) | A kind of Bridge Influence Line identifying system | |
| US12078528B2 (en) | Fiber sensing using supervisory path of submarine cables | |
| CN112722010A (en) | Rail corrugation acoustic diagnosis system for rail transit | |
| CN201945294U (en) | Automatic detecting system for full face of line | |
| CN113432815B (en) | A Bridge Deck Response Reconstruction Method Based on Measuring Vehicle Vibration Response | |
| Markov et al. | Analyzing the development of rail defects based on results of multichannel periodic testing | |
| CN106570299A (en) | Method for determining vehicle-bridge resonance performance curves of high-speed railway steel truss arch bridges | |
| RU2308692C1 (en) | Method and device for monitoring bridge | |
| CN106596002A (en) | High-speed railway steel truss arch bridge vehicle-bridge resonance curve measuring method | |
| CN116414933A (en) | Urban rail transit vibration map management system | |
| CN116886186A (en) | GIS-based optical fiber fault detection system, application method thereof and electronic equipment | |
| JP7580701B2 (en) | Non-destructive inspection system for civil engineering structures |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |