CN210513373U - Vehicle weighing monitoring system based on linear type interference type optical fiber sensing - Google Patents

Vehicle weighing monitoring system based on linear type interference type optical fiber sensing Download PDF

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CN210513373U
CN210513373U CN201921249415.7U CN201921249415U CN210513373U CN 210513373 U CN210513373 U CN 210513373U CN 201921249415 U CN201921249415 U CN 201921249415U CN 210513373 U CN210513373 U CN 210513373U
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vehicle
optical fiber
monitoring system
circulator
data acquisition
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叶秀斌
黄凤英
董小鹏
邓登辉
李鑫
徐天行
卢屹
董艺玲
王佳琪
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Xiamen University Tan Kah Kee College
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Abstract

The utility model relates to a vehicle weighing monitoring system based on linear Sagnac interferometric optical fiber sensing, which comprises an optical fiber used as an external sensor, and the optical fiber is laid on a road section of a vehicle weight measuring area in N sections; the device also comprises a broadband light source, a circulator, a coupler, an optical fiber delay line, a reflector, a photoelectric converter and a data acquisition card; the broadband light source is connected to the head end of optic fibre through circulator, coupler and optic fibre delay line, and the tail end of optic fibre is connected to the speculum, the circulator is connected to data acquisition card through photoelectric converter, and when the vehicle that awaits measuring passes through the measurement area, the vehicle that awaits measuring rolls optic fibre and causes the light tensile, causes the change of the phase place of transmission light, and data acquisition card is used for calculating the weight that obtains the vehicle that awaits measuring to data transmission to the subsequent processing terminal that gathers. The utility model discloses equipment is simple, lays convenient and fast.

Description

Vehicle weighing monitoring system based on linear type interference type optical fiber sensing
Technical Field
The utility model relates to a vehicle technical monitoring field that weighs, especially vehicle monitored control system that weighs based on linear type interference formula optical fiber sensing.
Background
Under the background of rapid development of economy in China, the transportation industry is greatly developed, but the transportation phenomenon of overload and overrun of a large number of automobiles in the current road transportation causes great potential safety hazards to road traffic and great loss to national economy. Therefore, the vehicle load monitoring plays an extremely important role in the aspects of traffic, logistics, various warehousing management and the like, and has wide application prospect and social value.
Compared with the traditional vehicle weight sensing system, the optical fiber in the optical fiber sensor as a light wave transmission medium has the advantages of low attenuation of long-distance transmission signals, no need of power supply in a sensing measurement area, strong anti-electromagnetic interference capability, high sensitivity, low price, capability of preventing lightning stroke of optical fiber transmission and sensing lines arranged in the field and the like. The existing dynamic weighing system mostly adopts the combination of the FBG sensor and the bent plate for weighing, excavation construction needs to be carried out on a road surface, the structure is complex, the construction and maintenance cost is high, the function is single, and vehicle information cannot be counted.
SUMMERY OF THE UTILITY MODEL
In view of this, the utility model aims at providing a vehicle monitored control system that weighs based on linear type interference optical fiber sensing, equipment is simple, lays convenient and fast, and measurement accuracy is high.
The utility model discloses a following scheme realizes: a vehicle weighing monitoring system based on linear Sagnac interferometric optical fiber sensing comprises an optical fiber serving as an external sensor, and the optical fiber is laid on a road section of a vehicle weight measuring area in N sections; the device also comprises a broadband light source, a circulator, a coupler, an optical fiber delay line, a reflector, a photoelectric converter and a data acquisition card; the broadband light source is connected to the head end of optic fibre through circulator, coupler and optic fibre delay line, and the tail end of optic fibre is connected to the speculum, the circulator is connected to data acquisition card through photoelectric converter, and when the vehicle that awaits measuring passes through the measurement area, the vehicle that awaits measuring rolls optic fibre and causes the light tensile, causes the change of the phase place of transmission light, and data acquisition card is used for calculating the weight that obtains the vehicle that awaits measuring to data transmission to the subsequent processing terminal that gathers.
Further, still include the camera, the camera sets up the must through point of the vehicle that awaits measuring in the regional the place ahead that awaits measuring for gather the image information of the vehicle that awaits measuring.
The raspberry group is connected with the camera, and according to vehicle image information shot by the camera in advance, an instruction is sent to the data acquisition card to acquire optical fiber signals, so that the high-efficiency operation of the data acquisition card is guaranteed.
Furthermore, the optical fiber sensor further comprises a silicon rubber pad which is laid below the optical fiber and has a certain thickness, so that the optical fiber sensor can obtain a stable waveform signal.
Further, the certain thickness is 2 mm; the silicone rubber pad and the optical fiber are fixed by adopting a warning adhesive tape.
Further, the subsequent processing terminal comprises a computer or a server.
And the oscilloscope is connected with the circulator and is used for displaying the acquired optical fiber waveform.
Further, the distance between each section of optical fiber is larger than the distance between the front wheel and the rear wheel of the vehicle to be measured, so that the waveforms are not overlapped.
Furthermore, the reflecting mirror adopts a Faraday total reflecting mirror to improve the signal-to-noise ratio of the system.
Compared with the prior art, the utility model discloses following beneficial effect has: the utility model discloses equipment is simple, lays convenient and fast, and measurement accuracy is high.
Drawings
Fig. 1 is a schematic diagram of the embodiment of the present invention.
Fig. 2 is a schematic view of an electrical connection of the optical fiber sensing portion according to an embodiment of the present invention.
Fig. 3 is a waveform diagram of an optical fiber signal according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a software architecture according to an embodiment of the present invention.
Fig. 5 is an APP interface diagram according to an embodiment of the present invention.
Fig. 6 is a Web-end vehicle detection recording interface according to an embodiment of the present invention.
Fig. 7 is a Web end vehicle weighing real-time monitoring interface according to an embodiment of the present invention.
Fig. 8 is a statistical interface for Web-side detection of vehicles according to an embodiment of the present invention.
Detailed Description
The present invention will be further explained with reference to the drawings and the embodiments.
As shown in fig. 1, the present embodiment provides a vehicle weighing monitoring system based on linear Sagnac interferometric fiber optic sensing, which includes an optical fiber as an external sensor, and the optical fiber is laid on a road section of a vehicle weight measuring area in N sections; the device also comprises a broadband light source, a circulator, a coupler, an optical fiber delay line, a reflector, a photoelectric converter and a data acquisition card; the broadband light source is connected to the head end of optic fibre through circulator, coupler and optic fibre delay line, and the tail end of optic fibre is connected to the speculum, the circulator is connected to data acquisition card through photoelectric converter, and when the vehicle that awaits measuring passes through the measurement area, the vehicle that awaits measuring rolls optic fibre and causes the light tensile, causes the change of the phase place of transmission light, and data acquisition card is used for calculating the weight that obtains the vehicle that awaits measuring to data transmission to the subsequent processing terminal that gathers.
In this embodiment, the vehicle-mounted device further comprises a camera, wherein the camera is arranged at a necessary passing point of a vehicle to be detected in front of the region to be detected and is used for collecting image information of the vehicle to be detected;
the raspberry group is connected with the camera, and sends an instruction to the data acquisition card for optical fiber signal acquisition according to vehicle image information shot by the camera in advance, so that the high-efficiency operation of the data acquisition card is ensured;
the vehicle type and the license plate can be identified through the acquired image of the vehicle to be detected, and the identification result is uploaded to a cloud database, so that the terminal can check the information of the weighed vehicle in real time through a corresponding Web end management system or mobile phone APP software.
In this embodiment, the optical fiber sensor further includes a silicone rubber pad with a certain thickness and laid under the optical fiber, so that the optical fiber sensor obtains a relatively stable waveform signal.
In this embodiment, the certain thickness is 2 mm; the silicone rubber pad and the optical fiber are fixed by adopting a warning adhesive tape.
In this embodiment, the subsequent processing terminal includes a computer or a server.
In this embodiment, the device further comprises an oscilloscope, wherein the oscilloscope is connected with the circulator and is used for displaying the acquired optical fiber waveform.
In this embodiment, the distance between each section of optical fiber is greater than the distance between the front wheel and the rear wheel of the vehicle to be measured, so as to ensure that the waveforms are not overlapped.
In this embodiment, the reflecting mirror is a faraday total reflector, so as to improve the signal-to-noise ratio of the system.
By adopting the system of the embodiment, the weight of the vehicle to be measured can be further calculated, and the specific principle is as follows.
And enabling the vehicle to be measured to pass through the measuring area, collecting the signal waveform of the optical fiber during the measuring period, and calculating the weight of the vehicle to be measured according to the integral area of the signal. Specifically, the weight M of the vehicle to be measured is calculated by the following formula:
M=αS;
wherein α is an influence factor obtained by calibration during initialization, and S is an average integral area generated by an optical fiber signal when a vehicle to be detected rolls the optical fiber.
Wherein, the calculation of S is as follows:
Figure DEST_PATH_GDA0002378574440000051
in the formula, S11The integral area generated on the signal waveform when the front wheel of the vehicle to be tested passes through the first section of optical fiber is represented; s12The integral area generated on the signal waveform when the rear wheel of the vehicle to be tested passes through the first section of optical fiber is represented; sN1The integral area generated on the signal waveform when the front wheel of the vehicle to be tested passes through the Nth section of optical fiber is represented; sN2And the integral area generated on the signal waveform when the rear wheel of the vehicle to be tested passes through the Nth section of optical fiber is shown.
Preferably, the selection and calibration of the influence factor α are specifically as follows:
at the time of initial calibration, a known mass M is selected0The vehicle is tested for multiple times, the vehicle passes through a measuring area at different speeds, and an optical fiber signal during each test measurement period is obtained to obtain a corresponding average integral area
Figure DEST_PATH_GDA0002378574440000052
Obtaining influence factors α corresponding to different vehicle speeds, wherein S (v) is an area function related to the speed and is obtained by curve fitting during calibration;
in actual measurement, the influence factor α is selected specifically to be α within a corresponding vehicle speed range determined in calibration according to the speed of the vehicle to be measured in measurement.
As shown in fig. 1, this embodiment is exemplified by N being 2. The implementation adopts a linear Sagnac interferometric optical fiber sensing system, takes the same optical fiber as an external sensor, and lays the same optical fiber in two sections of road sections of a vehicle area to be measured, namely an optical fiber 1 section and an optical fiber 2 section. In order to ensure that the waveforms are not overlapped, the distance between the two sections of optical fibers needs to be ensured to be larger than the length of a vehicle. When two front wheels of a vehicle to be tested roll the optical fiber 1 section, a first waveform signal is generated; when two rear wheel wheels of the vehicle to be detected roll the optical fiber 1 section, a second waveform signal is generated; when the vehicle to be tested continuously moves forwards for two front wheels to grind the optical fiber 2 sections, a third waveform signal is generated; when the vehicle to be tested continues to go ahead and two rear wheels grind the optical fiber 2 sections, a fourth waveform signal is generated. Each weighing vehicle generates four waveform signals, and the four waveform signals are collected by a data acquisition card and uploaded to a computer terminal for data processing.
Installing a camera at a necessary passing point of a detected vehicle, and shooting the vehicle about to enter a weighing area through the camera; reading a video shot by a camera by using OpenCV through a raspberry group, controlling a starting data acquisition card to start acquiring optical fiber sensing signals when a vehicle license plate image is acquired in a video stream, and processing data by a computer terminal to calculate the weight and the speed of a measured vehicle; and meanwhile, the raspberry group identifies the vehicle type and the license plate of the acquired vehicle image, and uploads the relevant information of the weighed vehicle to a cloud database for a computer terminal to read.
The embodiment also designs a corresponding Web end management system and mobile phone APP application software, so that a manager and a user can conveniently check information of the weighed vehicle in real time by using the terminal, an overweight reminding function is set, potential safety hazards of overweight and ultralimit vehicles on the road can be timely eradicated, and a vehicle weight monitoring system is realized.
The optical fiber part of the present embodiment is electrically connected as shown in fig. 2, and includes a broadband light source (ASE), a circulator, a coupler, an optical fiber delay line, an optical fiber, a reflector, and a photoelectric converter (PD). The optical fiber signal is converted into a voltage signal through PD, an oscilloscope can be used for observing the signal waveform, and a data acquisition card can also be used for directly acquiring the signal to a PC (personal computer) end for data display and processing.
This embodiment is for avoiding optic fibre to stand the vehicle for a long time and roll, the coarse ground of direct contact causes wearing and tearing, lays optic fibre in the silica rubber pad top that thickness is 2mm to it is fixed with the warning sticky tape, through experimental contrast many times, the silica rubber pad of laying possesses certain elasticity, can make optical fiber sensor obtain more stable waveform signal.
Through the research of collecting multiple groups of data, under the condition of constant vehicle speed, the amplitude of the output signal of the system is increased along with the increase of pressure in a certain range, and the area enclosed by the signal waveform and the abscissa calculated through integration is increased, so that the quantitative analysis of the vehicle weight detection is realized by utilizing the relationship. The signal waveform diagram is shown in fig. 3, the abscissa is the data acquisition time, and the ordinate is the voltage amplitude after photoelectric conversion.
From experimental data, when the vehicle speed is changed, the integral area is reduced along with the increase of the vehicle speed, therefore, before the actual weight detection, the system is calibrated to find the influence factor α under the condition of different vehicle speed ranges, when in measurement, the influence factor in the corresponding vehicle speed range is selected for measurement by comparing the current vehicle speed with the vehicle speed during calibration, wherein the measurement of the vehicle speed can calculate the speed of the vehicle passing through the weight detection area through the ratio of the known laying distance of the two optical fibers and the signal starting and stopping time difference in the signal oscillogram.
For example, a silicone rubber pad with a thickness of 2mm is laid under the optical fiber, and different speeds for vehicles with a known weight of 1110kg are used to pass through the measurement area of the embodiment, so as to obtain multiple sets of average data of speed and integral area, curve fitting is carried out, an area function S (v) related to the speed v is obtained,
S(v)=-624.1v+20401
influence factor
Figure DEST_PATH_GDA0002378574440000071
The following calibration impact factors were obtained.
Vehicle speed Integral area averageMean value Impact factor α
10km/h 13980 0.078
15m/h 10860 0.101
20m/h 7739 0.140
25m/h 4620 0.231
30m/h 1498 0.662
During actual measurement, the speed of the current vehicle is substituted into the table to obtain a corresponding influence factor, and the weight of the current vehicle is calculated according to the integral area.
Particularly, since the external factors such as the optical fiber and the laying condition adopted by the system are different, the external influence factor value obtained by calibration each time can be influenced, so that the system needs to be calibrated to obtain the corresponding influence factor value before being laid and put into use each time.
The vehicle weighing monitoring system developed by the embodiment further comprises a Web end and APP application software, and functions of background data management, monitoring, alarming, data and image visualization and the like are achieved. The system can inquire the detected vehicle information through a detection record interface, and the inquiry information comprises: "license plate number inquiry", "vehicle type inquiry", "overweight inquiry"; and the real-time monitoring provides the real-time video recording of the camera; the information statistics is used for automatically counting the number of vehicles measured every day and drawing a histogram for convenient viewing and statistics.
A specific software architecture diagram is shown in fig. 4. The App end is mainly used for a user to inquire vehicle weighing records, and an interface of the App end is shown in fig. 5. The Web end is mainly used by the detection manager, and the specific interfaces are shown in fig. 6, fig. 7, and fig. 8.
In summary, in the present embodiment, a linear Sagnac interferometric fiber is used as the external sensor, the fiber sensor is rolled by the vehicle to stretch the light, which causes the phase of the transmitted light to change, and the vehicle weight is calculated according to the waveform of the signal collected by the photoelectric converter. Meanwhile, the system can be combined with a camera to collect vehicle information, when a vehicle is identified, the raspberry group is used for controlling a data collection card to collect and process data, information such as weighing data, license plate information, vehicle types and vehicle quantity is uploaded to the cloud, a corresponding Web end management system and APP application software are developed, and a user and a manager can check the weight data and the vehicle related information of the weighed vehicle in real time conveniently. Through the combination of hardware and software, this embodiment equipment is simple, lays convenient and fast, measurement accuracy is high to a set of complete vehicle weight monitoring system has been formed.
It is worth mentioning that the present invention protects hardware structures, as far as software architectures and methods do not require protection. The above is only a preferred embodiment of the present invention. However, the present invention is not limited to the above embodiments, and any equivalent changes and modifications made according to the present invention do not exceed the scope of the present invention, and all belong to the protection scope of the present invention.

Claims (8)

1. A vehicle weighing monitoring system based on linear Sagnac interferometric optical fiber sensing is characterized by comprising an optical fiber serving as an external sensor, wherein the optical fiber is laid on a road section of a vehicle weight measuring area in N sections; the device also comprises a broadband light source, a circulator, a coupler, an optical fiber delay line, a reflector, a photoelectric converter and a data acquisition card; broadband light source is connected to the head end of optic fibre through circulator, coupler and optic fibre delay line, and the tail end of optic fibre is connected to the speculum, the circulator is connected to data acquisition card through photoelectric converter, and when the vehicle that awaits measuring passes through the measurement area, the vehicle that awaits measuring rolls optic fibre and causes the light tensile, arouses the change of the phase place of transmission light, adopts raspberry group control data acquisition card, and data acquisition card is used for calculating the weight that obtains the vehicle that awaits measuring to subsequent processing terminal with the data transmission who gathers.
2. The vehicle weighing monitoring system based on linear Sagnac interferometric fiber sensing of claim 1, further comprising a camera, wherein the camera is arranged at a necessary passing point of the vehicle to be measured in front of the region to be measured, and is used for collecting image information of the vehicle to be measured.
3. The vehicle weighing monitoring system based on linear Sagnac interferometric fiber sensing of claim 1, further comprising a silicone rubber pad with a certain thickness laid under the optical fiber, so that the optical fiber sensor can obtain a relatively stable waveform signal.
4. The linear Sagnac interferometric fiber optic sensing based vehicle weight monitoring system of claim 3, wherein the certain thickness is 2 mm; the silicone rubber pad and the optical fiber are fixed by adopting a warning adhesive tape.
5. The linear Sagnac interferometric fiber optic sensing based vehicle weight monitoring system of claim 1, wherein the subsequent processing terminal comprises a computer or server.
6. The linear Sagnac interferometric fiber optic sensing based vehicle weight monitoring system of claim 1, further comprising an oscilloscope coupled to the circulator for displaying the collected fiber optic waveform.
7. The vehicle weighing monitoring system based on linear Sagnac interferometric fiber sensing of claim 1, wherein the distance between each section of fiber is greater than the distance between the front and rear wheels of the vehicle to be measured, so as to ensure that the waveforms are not superimposed.
8. The vehicle weighing and monitoring system based on linear Sagnac interferometric fiber sensing of claim 1, wherein the reflector is a Faraday total reflector to improve the signal-to-noise ratio of the system.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110530479A (en) * 2019-08-05 2019-12-03 厦门大学嘉庚学院 Vehicle weighing method and system based on linear type Sagnac interference formula Fibre Optical Sensor

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110530479A (en) * 2019-08-05 2019-12-03 厦门大学嘉庚学院 Vehicle weighing method and system based on linear type Sagnac interference formula Fibre Optical Sensor
CN110530479B (en) * 2019-08-05 2024-04-12 厦门大学嘉庚学院 Vehicle weighing method and system based on linear Sagnac interference type optical fiber sensing

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