CN110887523A - Rail vehicle axle box monitoring system based on LabVIEW - Google Patents

Rail vehicle axle box monitoring system based on LabVIEW Download PDF

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Publication number
CN110887523A
CN110887523A CN201911144106.8A CN201911144106A CN110887523A CN 110887523 A CN110887523 A CN 110887523A CN 201911144106 A CN201911144106 A CN 201911144106A CN 110887523 A CN110887523 A CN 110887523A
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China
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signal
module
axle box
rail vehicle
standard signal
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CN201911144106.8A
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Chinese (zh)
Inventor
刘若晨
王益民
刘舒沁
张焱
李广军
冀雯宇
杨艺
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Jiangsu University of Technology
Jiangsu Institute of Technology
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Jiangsu Institute of Technology
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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  • General Physics & Mathematics (AREA)
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Abstract

The invention provides a rail vehicle axle box monitoring system based on LabVIEW, which comprises: the rail vehicle axle box monitoring system based on LabVIEW has the capability of comprehensively processing and analyzing signals, and can accurately monitor the state of the rail vehicle axle box in real time.

Description

Rail vehicle axle box monitoring system based on LabVIEW
Technical Field
The invention relates to the technical field of rail vehicle state monitoring, in particular to a rail vehicle axle box monitoring system based on LabVIEW.
Background
The large-scale construction of high-speed railways in China in the 21 st century marks that China enters the high-speed rail era, and with the continuous acceleration of rail trains such as high-speed rails and motor cars, the problem of the running safety of rail vehicles becomes the first problem in the high-speed rail era in China. The axle boxes are one of the important parts of a rail vehicle, and the stability of the axle boxes determines the safety of the rail vehicle in operation.
The condition of the axle box of the rail vehicle is difficult to monitor, and related workers need to overhaul the axle box regularly to ensure the operation safety of the axle box, so that manpower and material resources are unnecessarily wasted, and the fault of the axle box cannot be found in time. The development of the sensor technology promotes the progress of the rail vehicle axle box state monitoring technology, but the on-line real-time monitoring of the axle box state is urgently needed, so that the scheme for on-line real-time monitoring of the rail vehicle axle box is provided, and the problem to be solved urgently is solved.
Disclosure of Invention
The present invention aims to provide a LabVIEW-based rail vehicle axle box monitoring system that overcomes one of the above problems or at least partially solves any of the above problems.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the invention provides a rail vehicle axle box monitoring system based on LabVIEW, which comprises: the system comprises a rail vehicle axle box, a static sensor, a vibration sensor, a temperature sensor, a signal conditioning unit, a data acquisition card and a computer; wherein: the static sensor, the vibration sensor and the temperature sensor are arranged at the bottom of the axle box of the rail vehicle; the output end of the static sensor, the output end of the vibration sensor and the output end of the temperature sensor are respectively connected with the input end of the signal conditioning unit; the output end of the signal conditioning unit is connected with the input end of the data acquisition card; the output end of the data acquisition card is connected with the computer; the static sensor detects the static level generated by the abrasion of the bearing of the axle box of the rail vehicle and sends a first detection signal to the signal conditioning unit; the vibration sensor detects the magnitude of a vibration signal of the axle box of the rail vehicle and sends a second detection signal to the signal conditioning unit; the temperature sensor detects the temperature generated by friction between the shaft in the axle box of the rail vehicle and the bearing and sends a third detection signal to the signal conditioning unit; the signal conditioning unit receives the first detection signal, the second detection signal and the third detection signal, amplifies and filters the first detection signal, the second detection signal and the third detection signal to convert the first detection signal, the second detection signal and the third detection signal into a first standard signal, a second standard signal and a third standard signal, and sends the first standard signal, the second standard signal and the third standard signal to the data acquisition card; the data acquisition card acquires a first standard signal, a second standard signal and a third standard signal and sends the first standard signal, the second standard signal and the third standard signal to the computer; and setting LabVIEW monitoring software for the computer to monitor the first standard signal, the second standard signal and the third standard signal, and prompting when the first standard signal, the second standard signal and/or the third standard signal do not accord with preset rules.
The bottom of the rail vehicle axle box is provided with three holes, and the inductive probes of the electrostatic sensor, the vibration sensor and the temperature sensor respectively enter the rail vehicle axle box from the holes and are close to the bearing.
Wherein the electrostatic sensor, the vibration sensor and the temperature sensor are installed in parallel.
Wherein, the computer includes: a front panel and a program module; wherein: the front panel is used for displaying information; the program module is used for data processing and analysis.
Wherein, the front panel includes: the system comprises a data display module, a performance display module and a super-threshold alarm module; the program module includes: the device comprises a data storage module, a signal analysis module and a performance evaluation module; wherein: the system comprises a data display module, a performance display module, a super-threshold alarm module, a data storage module, a signal analysis module and a performance evaluation module; wherein: the data storage module is used for storing data carried by the first standard signal, data carried by the second standard signal and data carried by the third standard signal; the signal analysis module is used for analyzing the data stored by the data storage module to obtain an analysis result; the performance evaluation module is used for evaluating the performance of the rail vehicle axle box according to the analysis result obtained by the signal analysis module; the data display module is used for displaying the data stored by the data storage module; the performance display module is used for displaying the performance condition of the rail vehicle axle box evaluated by the performance evaluation module; and the over-threshold alarming module is used for alarming when the analysis result obtained by the signal analysis module exceeds a preset threshold.
Therefore, the LabVIEW-based rail vehicle axle box monitoring system provided by the embodiment of the invention is obtained by combining a sensor technology and a LabVIEW software development platform, the system can monitor the performance state of the axle box on line in real time, and related workers can timely carry out actual maintenance on the rail vehicle axle box according to information feedback of on-line monitoring, so that the occurrence of faults is avoided, and the system has important significance on the operation safety of rail vehicles.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic structural diagram of a LabVIEW-based rail vehicle axle box monitoring system provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of an axle box structure of a wheel pair of a rail vehicle according to an embodiment of the present invention;
FIG. 3 provides a schematic view of a sensor mounting location for an embodiment of the present invention;
fig. 4 is a schematic computer structure diagram of a LabVIEW-based rail vehicle axle box monitoring system according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 shows a schematic structural diagram of a LabVIEW-based rail vehicle axle box monitoring system provided by an embodiment of the present invention, and referring to fig. 1, the LabVIEW-based rail vehicle axle box monitoring system provided by an embodiment of the present invention includes:
the system comprises a rail vehicle axle box, a static sensor, a vibration sensor, a temperature sensor, a signal conditioning unit, a data acquisition card and a computer; wherein:
the static sensor, the vibration sensor and the temperature sensor are arranged at the bottom of the axle box of the rail vehicle;
the output end of the static sensor, the output end of the vibration sensor and the output end of the temperature sensor are respectively connected with the input end of the signal conditioning unit;
the output end of the signal conditioning unit is connected with the input end of the data acquisition card;
the output end of the data acquisition card is connected with the computer;
the static sensor detects the static level generated by the abrasion of the bearing of the axle box of the rail vehicle and sends a first detection signal to the signal conditioning unit;
the vibration sensor detects the magnitude of a vibration signal of the axle box of the rail vehicle and sends a second detection signal to the signal conditioning unit;
the temperature sensor detects the temperature generated by friction between the shaft in the axle box of the rail vehicle and the bearing and sends a third detection signal to the signal conditioning unit;
the signal conditioning unit receives the first detection signal, the second detection signal and the third detection signal, amplifies and filters the first detection signal, the second detection signal and the third detection signal to convert the first detection signal, the second detection signal and the third detection signal into a first standard signal, a second standard signal and a third standard signal, and sends the first standard signal, the second standard signal and the third standard signal to the data acquisition card;
the data acquisition card acquires a first standard signal, a second standard signal and a third standard signal and sends the first standard signal, the second standard signal and the third standard signal to the computer;
and setting LabVIEW monitoring software for the computer to monitor the first standard signal, the second standard signal and the third standard signal, and prompting when the first standard signal, the second standard signal and/or the third standard signal do not accord with preset rules.
Referring to fig. 2, the rail vehicle wheel-set axle box according to the embodiment of the present invention includes an axle box 1, a wheel set 2, and an axle 3. The LabVIEW-based rail vehicle axle box monitoring system provided by the embodiment of the invention monitors the axle box 1 and monitors the bearing state in the axle box 1.
Referring to fig. 3, the axle box monitoring system for the rail vehicle in LabVIEW according to the embodiment of the present invention includes three sensors, i.e., a vibration sensor 11, an electrostatic sensor 12, and a temperature sensor 13, and the axle box monitoring system is configured to perform comprehensive status monitoring using the three sensors.
As an optional implementation mode of the embodiment of the invention, three holes are formed in the bottom of the axle box of the railway vehicle, and the inductive probes of the electrostatic sensor, the vibration sensor and the temperature sensor respectively enter the axle box of the railway vehicle from the holes and are close to the bearing. Because the monitoring to the axle box is mainly to its inside bearing monitoring, and because the bearing is installed inside the axle box, the inconvenient direct mount of sensor, consequently, after the integrated analysis, under the prerequisite that does not influence axle box basic function and life-span, open three holes in the axle box bottom, install the inductive probe of three sensor near the bearing respectively, improve the degree of accuracy of detected signal. Preferably, the electrostatic sensor, the vibration sensor and the temperature sensor are installed in parallel.
The static sensor, the vibration sensor and the temperature sensor which are arranged at the bottom of the axle box respectively detect the static level, the vibration amplitude and the temperature inside the axle box and send detection signals to the signal conditioning unit; the signal conditioning unit has the functions of amplifying and filtering signals detected by the sensors and converting the signals into standard signals, and the converted signals are collected by the data acquisition card and then transmitted to the computer.
The data acquisition card can be a product of national instruments of America, and the data acquisition cards with interfaces of different types can be selected according to requirements.
The static signal, the vibration signal and the temperature signal of the axle box of the rail vehicle are measured in real time through the sensor, the signal capable of representing the performance state of the axle box is transmitted to the computer, and the static signal, the vibration signal and the temperature signal of the axle box of the rail vehicle are analyzed in real time through the computer to complete the monitoring and evaluation of the performance state of the axle box of the rail vehicle.
As an alternative to the embodiment of the present invention, referring to fig. 4, the computer has a LabVIEW software monitoring system that monitors the different signals detected by the static sensor, the vibration sensor and the temperature sensor.
Wherein, the computer includes: front panel and program module (LabVIEW software monitoring system); wherein: the front panel is used for displaying information; the program module is used for data processing and analysis.
Preferably, the front panel includes: the system comprises a data display module, a performance display module and a super-threshold alarm module; the program module includes: the device comprises a data storage module, a signal analysis module and a performance evaluation module; wherein:
the data storage module is used for storing data carried by the first standard signal, data carried by the second standard signal and data carried by the third standard signal;
the signal analysis module is used for analyzing the data stored by the data storage module to obtain an analysis result;
the performance evaluation module is used for evaluating the performance of the rail vehicle axle box according to the analysis result obtained by the signal analysis module;
the data display module is used for displaying the data stored by the data storage module;
the performance display module is used for displaying the performance condition of the rail vehicle axle box evaluated by the performance evaluation module;
and the over-threshold alarming module is used for alarming when the analysis result obtained by the signal analysis module exceeds a preset threshold.
Specifically, the signal acquisition card inputs the acquired signal to a computer through an output end, the LabVIEW rail vehicle axle box monitoring system of the computer comprises a front panel and a program module, the front panel comprises a data display module, a performance display module and a super-threshold alarm module, and the program module comprises a data storage module, a signal analysis module and a performance evaluation module. Related staff know axle box performance situation in real time through the information that provides on the front panel, if performance suggestion module or super threshold alarm module appear unusually, the staff can in time take measures, avoids breaking down.
Therefore, the LabVIEW-based rail vehicle axle box monitoring system provided by the embodiment of the invention is designed by combining a sensor technology and a LabVIEW software development platform, the performance state of the axle box can be monitored on line in real time, and related workers can timely carry out real-time maintenance on the rail vehicle axle box according to information feedback of on-line monitoring, so that the occurrence of faults is avoided, and the system has important significance on the operation safety of rail vehicles.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (5)

1. A rail vehicle axle box monitoring system based on LabVIEW, comprising:
the system comprises a rail vehicle axle box, a static sensor, a vibration sensor, a temperature sensor, a signal conditioning unit, a data acquisition card and a computer; wherein:
the static sensor, the vibration sensor and the temperature sensor are mounted at the bottom of the rail vehicle axle box;
the output end of the electrostatic sensor, the output end of the vibration sensor and the output end of the temperature sensor are respectively connected with the input end of the signal conditioning unit;
the output end of the signal conditioning unit is connected with the input end of the data acquisition card;
the output end of the data acquisition card is connected with a computer;
the static sensor detects the static level generated by the abrasion of the bearing of the axle box of the rail vehicle and sends a first detection signal to the signal conditioning unit;
the vibration sensor detects the magnitude of the vibration signal of the axle box of the railway vehicle and sends a second detection signal to the signal conditioning unit;
the temperature sensor detects the temperature generated by friction between the shaft in the axle box of the rail vehicle and the bearing and sends a third detection signal to the signal conditioning unit;
the signal conditioning unit receives the first detection signal, the second detection signal and the third detection signal, amplifies and filters the first detection signal, the second detection signal and the third detection signal to convert the first detection signal, the second detection signal and the third detection signal into a first standard signal, a second standard signal and a third standard signal, and sends the first standard signal, the second standard signal and the third standard signal to the data acquisition card;
the data acquisition card acquires the first standard signal, the second standard signal and the third standard signal and sends the first standard signal, the second standard signal and the third standard signal to the computer;
and setting LabVIEW monitoring software for the computer, monitoring the first standard signal, the second standard signal and the third standard signal, and prompting when the first standard signal, the second standard signal and/or the third standard signal do not accord with a preset rule.
2. The system according to claim 1, wherein the rail vehicle axle housing bottom is provided with three holes, and the inductive probes of the electrostatic sensor, the vibration sensor and the temperature sensor enter the rail vehicle axle housing through the holes and approach the bearings, respectively.
3. The system of claim 2, wherein the electrostatic sensor, the vibration sensor, and the temperature sensor are mounted in parallel.
4. The system of claim 1, wherein the computer comprises: a front panel and a program module;
wherein:
the front panel is used for displaying information;
the program module is used for processing and analyzing data.
5. The system of claim 4, wherein the front panel comprises: the system comprises a data display module, a performance display module and a super-threshold alarm module; the program module includes: the device comprises a data storage module, a signal analysis module and a performance evaluation module; wherein:
the system comprises a data display module, a performance display module, a super-threshold alarm module, a data storage module, a signal analysis module and a performance evaluation module; wherein:
the data storage module is configured to store data carried by the first standard signal, data carried by the second standard signal, and data carried by the third standard signal;
the signal analysis module is used for analyzing the data stored by the data storage module to obtain an analysis result;
the performance evaluation module is used for evaluating the performance of the rail vehicle axle box according to the analysis result obtained by the signal analysis module;
the data display module is used for displaying the data stored by the data storage module;
the performance display module is used for displaying the performance condition of the rail vehicle axle box evaluated by the performance evaluation module;
and the over-threshold alarming module is used for alarming when the analysis result obtained by the signal analysis module exceeds a preset threshold.
CN201911144106.8A 2019-11-20 2019-11-20 Rail vehicle axle box monitoring system based on LabVIEW Pending CN110887523A (en)

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CN201911144106.8A CN110887523A (en) 2019-11-20 2019-11-20 Rail vehicle axle box monitoring system based on LabVIEW

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Application Number Priority Date Filing Date Title
CN201911144106.8A CN110887523A (en) 2019-11-20 2019-11-20 Rail vehicle axle box monitoring system based on LabVIEW

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105067150A (en) * 2015-07-22 2015-11-18 株洲南车时代电气股份有限公司 Motor car axle box temperature detection system and method
CN205483557U (en) * 2016-03-09 2016-08-17 武汉理工大学 Novel headstock test system
CN208579937U (en) * 2018-08-31 2019-03-05 大连柏盛源科技有限公司 A kind of vehicle-mounted axle box vibration monitor system of high-speed rail EMU
CN110207810A (en) * 2018-02-28 2019-09-06 常州路航轨道交通科技有限公司 Axle box vibration detecting system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105067150A (en) * 2015-07-22 2015-11-18 株洲南车时代电气股份有限公司 Motor car axle box temperature detection system and method
CN205483557U (en) * 2016-03-09 2016-08-17 武汉理工大学 Novel headstock test system
CN110207810A (en) * 2018-02-28 2019-09-06 常州路航轨道交通科技有限公司 Axle box vibration detecting system
CN208579937U (en) * 2018-08-31 2019-03-05 大连柏盛源科技有限公司 A kind of vehicle-mounted axle box vibration monitor system of high-speed rail EMU

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘德鹏: "高速列车轴箱润滑状态检测与诊断系统研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 *
刘霄: "城市轨道车辆轴箱轴承离线故障诊断及状态评估方法", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 *
王鹏: "基于虚拟仪器的列车轴箱轴承状态检测与故障诊断系统研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 *
陈冰冰: "基于LabView的数控车床主轴箱测试系统的设计与研究", 《中国优秀硕士学位论文全文数据库 工程科技I辑》 *

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