CN212432227U - Suspension type monorail transit structure health monitoring system - Google Patents
Suspension type monorail transit structure health monitoring system Download PDFInfo
- Publication number
- CN212432227U CN212432227U CN202021737295.8U CN202021737295U CN212432227U CN 212432227 U CN212432227 U CN 212432227U CN 202021737295 U CN202021737295 U CN 202021737295U CN 212432227 U CN212432227 U CN 212432227U
- Authority
- CN
- China
- Prior art keywords
- monitoring
- monitoring module
- track beam
- optical fiber
- monitoring system
- 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.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 141
- 230000036541 health Effects 0.000 title claims abstract description 36
- 239000000725 suspension Substances 0.000 title claims abstract description 14
- 230000003068 static effect Effects 0.000 claims abstract description 30
- 239000013307 optical fiber Substances 0.000 claims description 64
- 230000001133 acceleration Effects 0.000 claims description 19
- 239000007788 liquid Substances 0.000 claims description 19
- 238000005259 measurement Methods 0.000 claims description 14
- 238000003860 storage Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000006073 displacement reaction Methods 0.000 claims description 10
- 238000005493 welding type Methods 0.000 claims description 7
- 230000010354 integration Effects 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 3
- 230000005236 sound signal Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 19
- 238000003745 diagnosis Methods 0.000 abstract description 11
- 230000002787 reinforcement Effects 0.000 abstract description 8
- 238000000034 method Methods 0.000 abstract description 7
- 230000002159 abnormal effect Effects 0.000 abstract description 5
- 238000011156 evaluation Methods 0.000 abstract description 4
- 230000005540 biological transmission Effects 0.000 description 18
- 239000000835 fiber Substances 0.000 description 17
- 238000005516 engineering process Methods 0.000 description 15
- 238000007726 management method Methods 0.000 description 14
- 230000003287 optical effect Effects 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 230000007774 longterm Effects 0.000 description 5
- 230000008054 signal transmission Effects 0.000 description 5
- 229910000831 Steel Inorganic materials 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000009826 distribution Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 239000010959 steel Substances 0.000 description 4
- 241000283690 Bos taurus Species 0.000 description 3
- 230000015556 catabolic process Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000006731 degradation reaction Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000003466 welding Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
- 230000002706 hydrostatic effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011900 installation process Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 229910052755 nonmetal Inorganic materials 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000005498 polishing Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000001845 vibrational spectrum Methods 0.000 description 1
Images
Landscapes
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The utility model belongs to the technical field of single-rail railway traffic safety, and particularly provides a suspension type single-rail traffic structure health monitoring system, which comprises a track beam dynamic monitoring module, a structure static monitoring module, a bullear deformation monitoring module and a bolt pretightening force monitoring module; the track beam dynamic monitoring module is used for monitoring vibration, dynamic deflection and noise of a track beam structure; the structure static monitoring module is used for monitoring the static deflection and the inclination of the upright post of the track beam structure; the ox ear deformation monitoring module is used for measuring the suspension strain of the ox ear. Automatically diagnosing the abnormal condition of the structure by automatically acquiring, storing and inquiring data; the current and future overall safety evaluation of the structure; the method provides a basis for structural health diagnosis, management maintenance and structural reinforcement of the suspended monorail traffic system.
Description
Technical Field
The utility model belongs to the technical field of single track railway traffic safety, concretely relates to suspension type single track traffic structure health monitoring system.
Background
The suspended monorail is a kind of monorail and features that only one rail is used instead of two balanced rails of traditional railway. The suspended monorail structure mainly comprises a rail beam and a stand column, and is similar to a beam and a pier in a bridge. The main types of the upright post are inverted L-shaped and Y-shaped, and the upright post can be selected and used according to different conditions such as terrain, land and the like. The monorail vehicle track is different from a steel rail in a general track traffic mode, and a beam type track is adopted.
The structural working state, the structural safety, the abnormity of key parts and parts, the alarming and the like of the suspended monorail traffic system in the operation stage all affect the stability and the safety of the system operation. The health diagnosis, management maintenance and structure reinforcement of the suspended monorail transportation system also need real-time data of the system in normal operation as support, so that the maintenance, management, maintenance, reinforcement and operation of the suspended monorail transportation system need a complete monitoring system as support, and a decision basis is provided for maintenance management in the operation stage.
Disclosure of Invention
The to-be-solved technical problem of the utility model is to provide a suspension type monorail transit health monitoring system that is used for structural damage and state aassessment, satisfies its maintenance management, operation and maintenance reinforcement.
Therefore, the utility model provides a suspended monorail traffic structure health monitoring system, which comprises a track beam dynamic monitoring module, a structure static monitoring module and a bullear deformation monitoring module;
the track beam dynamic monitoring module is used for monitoring vibration, dynamic deflection and noise of a track beam structure;
the structure static monitoring module is used for monitoring the static deflection and the inclination of the upright post of the track beam structure;
the ox ear deformation monitoring module is used for measuring the suspension strain of the ox ear.
Preferably, the track beam dynamic monitoring module adopts a broadband high-precision MEMS optical fiber acceleration sensor to perform online acquisition and analysis on vibration and sound signals at the midspan position of the track beam, and obtains the dynamic deflection of the track beam through acceleration integration.
Preferably, the track beam dynamic monitoring module is further configured to convert data of the broadband high-precision MEMS optical fiber acceleration sensor into audio to restore structural vibration noise and environmental noise before and after the train passes through the monitoring position.
Preferably, the structural static monitoring module adopts a high-precision MEMS optical fiber pressure sensor, and an optical fiber static level gauge is formed by the liquid level communicating pipe to realize the measurement of the structural static deflection and the column inclination.
Preferably, a liquid storage barrel or a liquid level communicating pipe is arranged at the monitoring point position in the span of each track beam, and 1 high-precision MEMS optical fiber pressure sensor is arranged at the bottom of the liquid storage barrel or the liquid level communicating pipe.
Preferably, the cattle ear deformation monitoring module adopts self-temperature compensation welding type optical fiber strain gauges, and four self-temperature compensation welding type optical fiber strain gauges are arranged on each cattle ear.
Preferably, the strain range of the self-temperature compensation welding type optical fiber strain gauge is +/-3000 mu epsilon, and the measurement gauge length is 16 mm.
Preferably, the monitoring system further comprises a displacement monitoring module between the track beams and a wind direction and anemometer;
the track inter-beam displacement monitoring module is used for the unevenness of an X axis and a Y axis between two adjacent beams;
the wind direction anemometer is used for measuring wind load passing through the track beam.
The utility model has the advantages that: the utility model provides a health monitoring system of a suspended monorail traffic structure, which comprises a track beam dynamic monitoring module, a structure static monitoring module and a bullear deformation monitoring module; the track beam dynamic monitoring module is used for monitoring vibration, dynamic deflection and noise of a track beam structure; the structure static monitoring module is used for monitoring the static deflection and the inclination of the upright post of the track beam structure. The suspension type monorail transit system is monitored in real time, and automatic data acquisition, storage and query are supported; the key components are subjected to a multi-stage alarm function, so that the abnormal condition of the structure can be automatically diagnosed; the current and future overall safety evaluation of the structure; the method provides a basis for structural health diagnosis, management maintenance and structural reinforcement of the suspended monorail traffic system.
The present invention will be described in further detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a functional block diagram of a health monitoring system of a suspended monorail transportation structure of the present invention;
FIG. 2 is a diagram of a track beam vibration and dynamic deflection monitoring point arrangement of the suspended monorail traffic structure health monitoring system of the present invention;
FIG. 3 is a schematic view of the installation position of the fiber grating displacement sensor of the suspended monorail traffic structure health monitoring system of the present invention on the main beam;
FIG. 4 is a schematic view of a cow ear monitoring distribution point of the suspended monorail traffic structure health monitoring system of the utility model;
FIG. 5 is a displacement monitoring arrangement point between beams of the suspended monorail traffic structure health monitoring system of the utility model;
fig. 6 is the settlement monitoring schematic diagram of the suspended monorail traffic structure health monitoring system of the utility model.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are merely for convenience of description and simplicity of description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore, are not to be construed as limiting the present invention.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature; in the description of the present invention, "a plurality" means two or more unless otherwise specified.
The embodiment of the utility model provides a suspension type monorail transit structure health monitoring system, as shown in figure 1, a track beam dynamic monitoring module, a structure static monitoring module and a bullear deformation monitoring module;
the track beam dynamic monitoring module is used for monitoring vibration, dynamic deflection and noise of a track beam structure;
the structure static monitoring module is used for monitoring the static deflection and the inclination of the upright post of the track beam structure;
the ox ear deformation monitoring module is used for measuring the suspension strain of the ox ear.
The scheme utilizes modern electronic, information, communication and computer technologies, and simultaneously combines the technologies of intelligent sensors, big data processing, comprehensive evaluation and the like to realize real-time acquisition, real-time transmission and real-time early warning of monitoring indexes. It can also be used for non-long-term or artificial monitoring and detection. The structural health monitoring system established on the suspended monorail traffic system can grasp the structural working state of the operation stage of the suspended monorail traffic system, provide necessary and reliable data for evaluating the safety and the normal usability of the structure, and provide decision basis for maintenance management of the operation stage. The suspended monorail traffic structure health monitoring system to be developed aims at achieving the following functional goals:
(1) the suspension type monorail transit system is monitored in real time, and automatic data acquisition, storage and query are supported;
(2) the key components are subjected to a multi-stage alarm function, so that the abnormal condition of the structure can be automatically diagnosed;
(3) the structural load-response adopts a numerical simulation and machine learning method to carry out deformation prediction analysis;
(4) the current and future overall safety evaluation of the structure;
(5) the method provides a basis for structural health diagnosis, management maintenance and structural reinforcement of the suspended monorail traffic system.
(6) And an intelligent decision is provided for the safe operation control of the train.
(7) The system is simple, practical, reliable in performance, economical and reasonable, and has expandability and the capability of accessing to a track traffic intelligent operation and maintenance platform.
Generally, the health monitoring system of the suspended monorail traffic structure is a comprehensive system engineering integrating high and new technologies such as structure analysis and calculation, computer technology, communication technology, network technology, sensor technology and BIM technology.
In order to enable the health monitoring system of the suspended monorail transit structure to be powerful and really used for structural damage and state assessment, meet the requirements of maintenance management, operation and maintenance reinforcement, and meanwhile, the health system of the rail transit structure with economic benefits is designed according to the following principle:
(1) the device is simple, practical, reliable in performance, economical and reasonable;
(2) the system should embody the latest technology of structural health monitoring and be extensible.
(3) The requirements of maintenance, management, maintenance, reinforcement and operation of the suspension type monorail traffic system are met, and the first practical principle is adhered to;
(4) monitoring the structure in real time from power, static force and external load, and monitoring the structure in real time from structural deformation and structural stress; periodically checking the durability of the structure;
(5) monitoring points are distributed according to the requirements of theoretical calculation, health diagnosis, diseased parts and maintenance management;
(6) and the integration of monitoring, health diagnosis and operation management and maintenance is realized by applying modal analysis and BIM technology.
In a preferred scheme, as shown in fig. 2, a broadband high-precision optical fiber MEMS acceleration sensor is adopted to perform online acquisition and analysis on vibration and sound signals at a mid-span position of a track beam, and dynamic deflection of the track beam is obtained simultaneously through acceleration integration. Because the maximum bending moment appears in the midspan and the maximum stress also appears in the midspan, the bottom position in the midspan of the track beam is selected for monitoring the dynamic deflection and vibration at this time, the cross section of the midspan of each track beam is taken as a monitoring section in the whole track line, and an optical fiber acceleration sensor, namely a specific point diagram, is arranged on each monitoring section. Data was collected continuously for 24 hours. According to the vibration caused by train operation, the vibration spectrum, the vibration mode and the dynamic deflection of the track beam are detected, so that the rigidity change, the fatigue and the fracture trend of a system consisting of the track beam and the upright post are analyzed.
The MEMS optical fiber accelerometer is selected, the sensor is a broadband high-precision optical fiber acceleration sensor, an acceleration detection mass block, an elastic support body, an optical reflection micro mirror, a light incidence waveguide and a light emergence waveguide are directly integrated on a tiny chip by adopting a micro-nano processing technology, all-optical detection of acceleration signals is really realized, and the sensor has the advantages of no power supply of a probe and a transmission line, electromagnetic interference resistance, large dynamic range, small size, long-distance optical signal transmission and the like. The fiber accelerometer has the advantages of high sensitivity, large dynamic range, good linearity, flat frequency characteristic response, linear phase change, good technical parameter consistency and stable and reliable performance, and the low frequency starts from 0 Hz. The fiber accelerometer is widely applied to the fields of earthquake monitoring, building bridge health monitoring and testing, industrial system structure monitoring and testing, vibration monitoring and fault diagnosis of rotating electromechanical equipment, ship vibration noise analysis, ocean platform structure monitoring and the like.
Meanwhile, data of the broadband high-precision MEMS optical fiber acceleration sensor are converted into audio, and structural vibration noise and environmental noise before and after a train passes through can be reduced through listening.
The vibration level analysis is carried out on the data of the broadband high-precision optical fiber MEMS acceleration sensor, so that the total vibration level of signals of the acceleration sensor before and after the train passes through can be calculated and obtained, and the unit is dB. And acquiring the vibration level and frequency band distribution of one third octave of acceleration before and after the train passes through.
According to the preferable scheme, a high-precision MEMS optical fiber pressure sensor is adopted, and an optical fiber static level gauge is formed by a liquid level communicating pipe to realize the measurement of the static deflection of the structure and the inclination of the upright column. The deflection monitoring range is 0-1000 mm.
The specific implementation scheme is as follows: a liquid storage barrel or a liquid level communicating pipe is arranged at each track beam midspan monitoring point position, and 1 high-precision optical fiber pressure sensor is arranged at the bottom of the liquid storage barrel or the liquid level communicating pipe, so that the liquid position of the communicating pipe at the monitoring point position is accurately measured; a reference point position is arranged on a middle upright post of each 4 track beams, a liquid storage barrel or a liquid level communicating pipe is arranged, and 1 high-precision optical fiber pressure sensor and 1 external high-precision optical fiber pressure sensor for compensating atmospheric pressure and temperature are arranged at the bottom of the liquid storage barrel or the liquid level communicating pipe. Every 4 track beams are connected in series between the leftmost and rightmost midspan monitoring points and 1 middle upright post reference point through a non-metal communicating pipe and anti-freezing solution. The scheme has the advantages of high reliability and high precision, and can be used for calibration confirmation every 3 years subsequently, thereby having the optimal long-term measurement precision.
Referring to fig. 3, according to the vertical position change between the reference point of the middle column and the mid-span monitoring points of the left and right 2 track beams, the static deflection amount of the 4 track beams can be obtained and the inclination state of the column can be effectively monitored. And estimating according to the length of the track beam of 20-25 m, and adopting a settlement deformation monitoring system formed by high-precision optical fiber pressure sensors.
According to the preferable scheme, the ox ear part is the main bearing position, the ox ear position at the top of the stand column is selected for carrying out the ox ear deformation monitoring at the time, a monitoring section is arranged on one side of each stand column on the whole track line, the self-temperature compensation welding type optical fiber strain gauges are adopted, and 4 optical fiber strain gauges are arranged on each ox ear. The arrangement position is shown in fig. 4. A welded optical fiber strain gauge is selected, and the sensor is a high-performance strain gauge developed aiming at the stress deformation measurement requirements of bridge steel box beams, shock absorption dampers, metal anchors and other metal structural members. The optical fiber metalized laser welding process and the temperature self-compensation structure are adopted for packaging, and the device has the characteristics of high measurement precision, long-term zero stability, small temperature drift, simple and convenient welding operation, good dynamic characteristics and the like. After the local polishing of the monitoring position of the surface of the measured steel structure is finished, the welding type optical fiber strain gauge can be welded and installed on the surface of the steel structure within 5 milliseconds by using a matched special welding gun head, so that the field installation process is greatly simplified.
Preferably, as shown in fig. 5, the whole bridge body structure is formed by combining single bridge sections with the length of 25-30 meters, soft connection is adopted between the bridge bodies, and displacement can occur between beams when vehicles run through joints at different load speeds. Meanwhile, unevenness exists in the X-axis and Y-axis directions. Measuring the variation of these several characteristic quantities is important for the safe and comfortable running of the rail. The sensor mainly adopts a fiber grating displacement sensor, and one fiber grating displacement sensor is respectively arranged in the X-axis direction and the Y-axis direction of each joint.
According to the preferred scheme, the anemorumbometer needs 12-30 VDC power supply, for this reason, a 6-core shielding twisted pair is selected for signal transmission and power supply, and a 24VDC switching power supply is configured in a nearby external field site cabinet for power supply.
According to the monitoring point arrangement design of the assessment overall plan, measuring points are arranged on the span middle surface and the beam top of the track beam, the influence of the track beam structure on wind speed and direction measurement is eliminated in consideration of accurately measuring the wind load data borne by the track beam, and therefore a set of high upright support is designed for each anemometer to meet the requirement of accurate measurement, and the upright height is 6 m. Considering that the beam top equipment not only needs to eliminate the influence of the beam top structure on the measurement of wind speed and wind direction, but also needs to ensure that the beam top equipment can be within the protection range of the lightning rod, a mounting vertical rod with the height of 1.2m is designed and used for the beam top anemometer.
By utilizing the long-term high-reliability, high-stability and high-precision measurement characteristics of the broadband high-precision optical fiber MEMS acceleration sensor and the high-precision optical fiber MEMS optical fiber pressure sensor and the simultaneous basic data acquisition characteristic of the optical fiber sensing system, sub-millisecond clock synchronous acquisition can be carried out on all monitoring point sensors, and subsequent data fusion processing and software sensor function realization are facilitated. And finally, the real-time assessment and damage prediction of the safety state of the structure are realized, and decision support is provided for intelligent control of train running speed and intelligent operation and maintenance of the structure.
In a specific implementation scenario, as shown in fig. 6, the monitoring system further includes a remote monitoring center, i.e., a data processing server, where the remote monitoring center is configured to analyze and display the track beam dynamic monitoring module, the structural static monitoring module, and the tauear deformation monitoring module, and for the structural static deflection and the pillar tilt measurement, it is recommended to use a high-precision MEMS fiber F-P pressure sensor, and an optical fiber static level is formed by a liquid level communication pipe. The information of all the modules transmits signals to the equipment box through optical fibers, and an optical fiber sensing analyzer is arranged in the equipment box and used for analyzing data of all the modules and then transmitting the data to a remote data processing server through a wireless network for displaying and further processing.
The storage and computation integrated optical fiber sensing analyzer host is an embedded system architecture core based on FBGA (fiber Bragg Grating), has strong signal processing and diagnostic analysis capabilities, is installed in a cabinet of a passenger room of an electric bus, and can acquire state data of a coupling relation between a walking part and a track beam in real time, and is an intelligent diagnosis functional component for online monitoring, fusion diagnosis, data distribution, fault prediction alarm and data strategic storage and recording.
The main functions are as follows:
1) carrying out parameter configuration and information management on the intelligent running gear sensor;
2) the running state of the electric bus running gear is monitored and identified in real time, online self-checking of each functional module in the host is supported, and self-checking records are stored in a system running log file;
3) the host software carries out comprehensive analysis and multi-parameter fusion diagnosis on the intelligent running gear sensing data and the vehicle running position information, and pointedly reads the historical monitoring data of the optical fiber sensor so as to further analyze and diagnose the structural state of the track beam;
4) the monitoring and diagnosing host software adopts a segmented aggregation approximation method to represent a track beam performance degradation track time sequence formed by monitoring data based on online state monitoring data, realizes degradation mode clustering through a hierarchical clustering method, and realizes the track beam key structure performance degradation mode mining based on the state monitoring data; the mode mining result lays a good foundation for applying the state monitoring data to predict the structural health of the track beam;
5) the data connection with a matched ground system is realized through a data downloading interface, and the monitoring state information is output to the TCMS through the Ethernet/MVB;
6) and communicating the stored monitoring conclusion and sample data to a ground system by using a wireless transmission module of the vehicle, and storing all data and diagnosis conclusion, log files of system operation and the like through the communication between the wireless network and a background data server.
The signal pickup, conversion and transmission of the fiber grating sensor are realized by optical fibers, so that the electromagnetic interference of a circuit system is avoided. The use of fiber optic sensors in the signal input path can fundamentally address the interference introduced by the sensors in the field.
And an optical fiber sensing analyzer is selected to realize synchronous 1000Hz signal acquisition of the broadband high-precision MEMS optical fiber acceleration sensor and the optical fiber hydrostatic level. The optical fiber sensing analyzer is high-reliability, industrial-grade and storage-calculation integrated intelligent wavelength signal demodulation equipment developed for intelligent operation and maintenance of rail transit and high-end industrial equipment, is suitable for high-speed, synchronous and high-precision data acquisition of various optical fiber grating sensors, optical fiber F-P sensors and MEMS (micro electro mechanical systems) optical fiber sensors such as temperature, strain, pressure, displacement, acceleration and static level instruments and is internally provided with a storage-calculation integrated information processor, and can realize strategic acquisition of physical quantities, data storage, feature extraction and intelligent fault prediction.
The optical fiber sensing analyzer is designed by adopting a low-power-consumption embedded processor, has stable and reliable performance, and meets the requirements of long-term online monitoring in the field of industrial measurement and severe temperature and humidity environment in the field of field engineering.
The fiber grating is a periodic distribution structure of refractive index formed on the fiber core of the optical fiber by a laser writing technology, and is a discrete reflection type optical fiber device. The fiber grating sensing technology is an optical fiber sensing technology which integrates measurement and signal transmission into a whole by taking fiber gratings as sensing elements and optical fibers as transmission media. The method has the following technical characteristics:
1. passive and no electricity
The fiber grating sensor is an optical passive reflection type device, optical signals emitted by a light source carried in monitoring equipment, namely a remote monitoring center (located behind a remote area) are transmitted by optical fibers and irradiated onto the fiber grating, and the optical signals carrying sensed sensing information are reflected back to the monitoring equipment to be received, analyzed, processed and stored after being reflected by the fiber grating, so that power supply is not needed on a monitoring site.
2. Can be connected in series
By adopting the wavelength division multiplexing technology, dozens of fiber bragg grating sensors can be connected on one optical fiber in series, and the number of signal transmission lines can be greatly saved.
3. Long signal transmission distance
Due to the low transmission loss of the optical fiber (the lowest transmission loss can reach 0.02dB), the transmission distance of the optical fiber grating sensing signal is long. Typically within a transmission distance of tens of kilometres, no relay amplification is required.
4. Anti-electromagnetic interference
The optical fiber grating sensor uses optical signals, the optical signals are transmitted in the optical fiber, the interference of electric pulse and thunder is not afraid, and external stray light cannot be coupled into the optical fiber, so the external interference resistance is strong.
5. The response speed is high
Compared with other optical fiber sensing, the optical fiber grating sensing has high response speed which can generally reach 2000Hz, and meets the requirement of dynamic monitoring of the train of the project.
The data transmission module is used for sending the original data acquired by the system and the preprocessed data to the server of the monitoring center, and the data management software can transmit the inquired data to the designated position from each data acquisition station at any time by means of the data transmission system. In order to ensure real-time performance, reliability and confidentiality of data transmission and expandability of a system, the transmission network adopts an annular optical fiber network. The data transmission module is further designed based on the following aspects:
(1) data may be transmitted and shared remotely via a transmission network;
(2) for coordination with other devices and networks, transport networks are based on the TCP/IP standard;
(3) transmission failures can be displayed on the server and an alarm can be given;
(4) the transmission system bottom layer software is completely compatible with the operating system, and the operating system can be upwards compatible when being upgraded;
(5) the transmission of different information types should be accurate, should meet the real-time requirements of software operation, and should match the hardware environment.
The monitoring equipment is communicated with the monitoring equipment in a wired network mode, and interacts with the data center platform in an Ethernet port mode. The acquisition module is provided with a clock and can periodically perform clock synchronization with a monitoring system clock server, and the accumulated drift amount of the clock is less than or equal to 5 seconds/day. The acquisition module can carry out remote management through the server and automatically restart and recover after power failure. The Mean Time Between Failures (MTBF) is more than or equal to 100000 hours.
The data acquisition instrument can be connected with a plurality of sensors of the same type and stored in a database by a data acquisition system, and identifies each signal channel; sending the data to a digital platform through a wired network; the digital platform analyzes the data abnormally, judges the abnormal data caused by external reasons such as environment and the like automatically, and automatically stimulates the operations of data re-acquisition and the like. After the data are confirmed to be abnormal, the data are extracted and classified by the digital platform, are stored in the corresponding database according to the identification condition of each data acquisition system, are called by the digital monitoring management system in real time, and are automatically monitored in real time for 24 hours in all weather.
The above illustration is merely an illustration of the present invention, and does not limit the scope of the present invention, and all designs identical or similar to the present invention are within the scope of the present invention.
Claims (8)
1. The utility model provides a suspension type monorail transit structure health monitoring system which characterized in that: the system comprises a track beam dynamic monitoring module, a structure static monitoring module and a bullear deformation monitoring module;
the track beam dynamic monitoring module is used for monitoring vibration, dynamic deflection and noise of a track beam structure;
the structure static monitoring module is used for monitoring the static deflection and the inclination of the upright post of the track beam structure;
the ox ear deformation monitoring module is used for measuring the suspension strain of the ox ear.
2. The suspended monorail transportation structural health monitoring system of claim 1, wherein: the track beam dynamic monitoring module adopts a broadband high-precision MEMS optical fiber acceleration sensor to perform online acquisition and analysis on vibration and sound signals at the midspan position of the track beam and simultaneously obtain the dynamic deflection of the track beam through acceleration integration.
3. The suspended monorail transportation structural health monitoring system of claim 2, wherein: the track beam dynamic monitoring module is also used for converting data of the broadband high-precision MEMS optical fiber acceleration sensor into audio so as to restore structural vibration noise and environmental noise before and after the train passes through the monitoring position.
4. The suspended monorail transportation structural health monitoring system of claim 1, wherein: the structure static monitoring module adopts a high-precision MEMS optical fiber pressure sensor, and an optical fiber static level gauge is formed by a liquid level communicating pipe to realize the measurement of the structure static deflection and the column inclination.
5. The suspended monorail transportation structural health monitoring system of claim 4, wherein: and (3) arranging a liquid storage barrel or a liquid level communicating pipe at the monitoring point position of each track beam span, and installing 1 high-precision MEMS optical fiber pressure sensor at the bottom position.
6. The suspended monorail transportation structural health monitoring system of claim 1, wherein: the ox ear deformation monitoring module adopts self-temperature compensation welding type optical fiber strain gauges, and four self-temperature compensation welding type optical fiber strain gauges are arranged on each ox ear.
7. The suspended monorail transportation structural health monitoring system of claim 1, wherein: the monitoring system further comprises a remote monitoring center, and the remote monitoring center is used for analyzing and displaying the track beam dynamic monitoring module, the structure static monitoring module and the oxear deformation monitoring module.
8. The suspended monorail transportation structural health monitoring system of claim 1, wherein: the monitoring system also comprises a displacement monitoring module between the track beams and a wind direction and speed instrument;
the track inter-beam displacement monitoring module is used for the unevenness of an X axis and a Y axis between two adjacent beams;
the wind direction anemometer is used for measuring wind load passing through the track beam.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202021737295.8U CN212432227U (en) | 2020-08-19 | 2020-08-19 | Suspension type monorail transit structure health monitoring system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202021737295.8U CN212432227U (en) | 2020-08-19 | 2020-08-19 | Suspension type monorail transit structure health monitoring system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN212432227U true CN212432227U (en) | 2021-01-29 |
Family
ID=74275160
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202021737295.8U Active CN212432227U (en) | 2020-08-19 | 2020-08-19 | Suspension type monorail transit structure health monitoring system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN212432227U (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111854848A (en) * | 2020-08-19 | 2020-10-30 | 武汉益坤先舰电气有限公司 | Health monitoring system and method for suspended monorail traffic structure |
CN114543717A (en) * | 2022-02-25 | 2022-05-27 | 京沪高速铁路股份有限公司 | Deformation identification method and device for ballastless track slab, terminal and storage medium |
-
2020
- 2020-08-19 CN CN202021737295.8U patent/CN212432227U/en active Active
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111854848A (en) * | 2020-08-19 | 2020-10-30 | 武汉益坤先舰电气有限公司 | Health monitoring system and method for suspended monorail traffic structure |
CN114543717A (en) * | 2022-02-25 | 2022-05-27 | 京沪高速铁路股份有限公司 | Deformation identification method and device for ballastless track slab, terminal and storage medium |
CN114543717B (en) * | 2022-02-25 | 2024-03-22 | 京沪高速铁路股份有限公司 | Deformation identification method and device for ballastless track plate, terminal and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chen | Structural health monitoring of large civil engineering structures | |
CN110926523A (en) | High-speed railway bridge safety perception and early warning system under complicated abominable condition | |
US10627219B2 (en) | Apparatus and methods for monitoring movement of physical structures by laser deflection | |
US5507188A (en) | Structural monitoring system | |
CN111854848A (en) | Health monitoring system and method for suspended monorail traffic structure | |
Wong et al. | Planning and implementation of the structural health monitoring system for cable-supported bridges in Hong Kong | |
CN102354433B (en) | Railway side slope crag rockfall monitoring and warning system based on fiber grating sensing technology | |
US6240783B1 (en) | Bridge monitoring system | |
CN212432227U (en) | Suspension type monorail transit structure health monitoring system | |
CN109445399B (en) | Hydropower station hydraulic working gate on-line monitoring device and monitoring method | |
CN104374465A (en) | Subway low-frequency vibration test device and method based on fiber bragg grating sensors | |
CN109186826A (en) | A kind of board bottom flexural tensile stress monitoring system and method for existing road face structure | |
JP2025094032A (en) | Anomaly detection method and anomaly detection system | |
CN115424416A (en) | Railway natural disaster invasion limit intelligent monitoring two-stage defense alarm system | |
CN118971963A (en) | Optical cable external loss risk analysis and early warning system and method | |
Chowdhury et al. | Application of different structural health monitoring system on bridges: An overview | |
CN113734241A (en) | Method and system for monitoring ice and snow state of magnetic suspension line | |
CN113267217A (en) | Bridge group monitoring system and bridge group monitoring method | |
CN115372749B (en) | Monitoring method, system, equipment and storage medium of power transmission line | |
RU2308692C1 (en) | Method and device for monitoring bridge | |
US11733070B2 (en) | Street light operating status monitoring using distributed optical fiber sensing | |
WO2023220451A1 (en) | System to measure coil locations and lengths on aerial fiber cables by distributed fiber sensing | |
Sliti et al. | Building Structural Health Monitoring: An FBG-based estimation of external vibrations | |
JP2024521459A (en) | Identifying Internal Fibers in Deployed Fiber Cables Using Distributed Fiber Optic Sensing | |
CN114877944A (en) | Online health monitoring system of long-span space steel construction in high-speed railway station based on internet |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |