CN110207810B - Axle box vibration detection system - Google Patents
Axle box vibration detection system Download PDFInfo
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- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
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Abstract
The invention belongs to the technical field of rail vehicle detection, and discloses a shaft box vibration detection system which comprises a power supply module, a vibration detection module and a vibration detection module, wherein the power supply module is used for supplying power to all parts; the data processing module is connected with the power supply module and is used for carrying out operation processing on the monitoring data; the sensor module is used for monitoring the axle box to obtain a detected signal; the acquisition module is respectively connected with the sensor module and the data processing module and is used for carrying out preceding-stage processing on the measured signal of the sensor module; and the communication module is connected with the data processing module and is used for communicating with the outside. According to the axle box vibration detection system provided by the invention, the axle box derailment algorithm and judgment standard are researched through vertical and transverse vibration of the sensor module, online detection of derailment is realized through data analysis and processing, a report is timely given to a train control system before and after the train is found to be derailed, and a pre-alarm is provided so as to ensure the safety and reliability of train operation.
Description
Technical Field
The invention belongs to the technical field of rail vehicle detection, and particularly relates to a shaft box vibration detection system.
Background
In the field of rail transit, China, as one of the major high-speed rail industry countries in the world, opens a high-speed rail since 2008, and the development of the high-speed rail is very rapid, but many technologies are not mature yet and still are in the starting stage. In the aspect of a vehicle-mounted monitoring system for a rotating part of a railway vehicle, a domestic high-speed motor train unit does not have a complete system for monitoring the vibration state of an axle box and diagnosing the fault of a bearing, and only in the aspect of fault diagnosis of the rotating part, domestic locomotives and subways have some applications, such as a running gear fault monitoring subsystem on a locomotive 6A system.
The China expressway network is different from European and Japanese expressway networks, has large road network scale, wide covered regions and complicated and changeable geographic, geological and climatic conditions. Compared with the subway and the common railway, the working conditions of all parts of the high-speed railway are worse, the running speed is higher, a plurality of high-speed train rotating part fault events occur at present, and the railway general company and all large host plants clearly put forward the additional installation requirements for the system. When fault diagnosis of the rotating member is carried out, derailment monitoring is needed, and train derailment accidents are prevented.
Through the development of decades, railways in China are greatly accelerated five times, the imported high-speed motor train units of Germany, Japanese and French are digested and absorbed technically, and then the high-speed rail industry enters an autonomous innovation stage in recent years. The method is characterized in that a plurality of domestic colleges and universities, scientific research institutes and high-speed train part supporting enterprises exert respective advantages, scientific and technological resources and industrial resources, work division and cooperation are achieved, the key technology of the high-speed train is broken through, an efficient high-speed train technical innovation mechanism is constructed, and the development technology innovation of the high-speed railway in China enters a new stage.
The existing high-speed rail industry also has the following defects:
1. the axle box vibration detection device monitors the state of an upper axle box of the high-speed train bogie in real time, and ensures stable and safe running of the train. The working environment of the product is very complex, and the product is easily interfered by electromagnetism, an electric field, harmonic waves and the like on a working site and can be interfered by other equipment on a train.
2. The requirement of safe operation of the high-speed train on fault identification is very high, the conventional resonance demodulation technology can only carry out hardware filtering, the method is single, and the diagnosis result cannot be guaranteed to be completely reliable and accurate.
3. In the aspect of data acquisition, because rotating parts such as an axle box and a bearing of the motor train unit are more and the types of faults are various, the sensor has higher requirements on the material, the structure, the function and the installation position of the sensor, and the existing composite sensor technology is difficult to meet all the requirements.
Disclosure of Invention
In order to solve the above problems in the prior art, the present invention aims to provide a shaft box vibration detection system.
The technical scheme adopted by the invention is as follows:
a vibration detection system for axle box comprises
The power supply module is used for supplying power to each part;
the data processing module is connected with the power supply module and is used for carrying out operation processing on the monitoring data;
the sensor module is used for monitoring the axle box to obtain a detected signal;
the acquisition module is respectively connected with the sensor module and the data processing module and is used for carrying out preceding-stage processing on the measured signal of the sensor module;
and the communication module is connected with the data processing module and is used for communicating with the outside.
Preferably, the power module comprises a power input end, an input filter protection circuit, an isolation unit, an output filter protection circuit and a power output end which are connected in sequence, the power input end is connected with the direct-current power supply of the motor car, and the power output end is connected with the data processing module.
Preferably, the power input end is provided with an anti-reverse and fuse protection circuit and a surge impact protection circuit, and the power output end is provided with a TVS protection circuit and a filter circuit.
Preferably, the communication module comprises an ARM controller as a control center, a CAN bus and an RS485 bus for communicating with the data processing board card, and an MVB unit for acquiring an MVB bus command and transmitting alarm data.
Preferably, the axle box vibration detection system comprises an IO module connected to the data processing module, and the IO module comprises a digital input terminal and a digital output terminal.
Preferably, the axle box vibration detection system comprises a clock module and a storage module which are connected with the data processing module, and an upper computer which is in communication connection with the communication module.
Preferably, the sensor module comprises a three-direction vibration, vertical impact and temperature composite sensor mounted on the vertical direction of the axle box and a vibration sensor mounted on the transverse direction of the axle box.
Preferably, the acquisition module comprises an LC filter circuit, a TVS diode and a multipath isolation unit which are connected in sequence.
The invention has the beneficial effects that:
1. according to the axle box vibration detection system provided by the invention, the axle box derailment algorithm and judgment standard are researched through vertical and transverse vibration of the sensor module, online detection of derailment is realized through data analysis and processing, a report is timely given to a train control system before and after the train is found to be derailed, and a pre-alarm is provided so as to ensure the safety and reliability of train operation.
2. The power supply module converts a 110V power supply of the train into a power supply voltage required by the system and provides required power for the system; the power input end plays a role in current limiting protection for the front stage through the self-recovery fuse, the voltage dependent resistor and the safety capacitor reach Y, X, the safety capacitor meets the safety standard design, the common mode and the differential mode interference from the power supply can be filtered, the clean and stable direct current power supply is provided through the reverse connection preventing diode and the input filter protection circuit, and the required direct current power supply is provided for the system through the isolation unit.
3. The system can test and observe the functional lamp, and can preliminarily check whether the system is normal or not; and importing the temperature original data, the characteristic data and the processing board vibration data into an SD card to realize the storage of temperature and vibration.
Drawings
Fig. 1 is a block diagram showing the structure of an axle box vibration detecting system according to the present invention.
FIG. 2 is a block diagram of a data processing module of the present invention.
Fig. 3 is a block diagram of the power module of the present invention.
Fig. 4 is a block diagram of a communication module of the present invention.
FIG. 5 is a flow chart of the pedestal vibration sensing system of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the specific embodiments.
As shown in fig. 1, the embodiment provides a 350KM standard axle box vibration detection system for a motor train unit, which realizes online identification of bearing faults and wheel set polygon faults and comprises a power module, a data processing module, a sensor module, an acquisition module, a communication module, an IO module, a clock module, a storage module and an upper computer.
The data processing module is respectively connected with the power supply module, the acquisition module, the communication module, the IO module, the clock module and the storage module, the sensor module is connected with the acquisition module, and the upper computer is in communication connection with the communication module.
The power module is mainly used for supplying power to all parts, and as shown in fig. 3, the power module comprises a power input end, an input filter protection circuit, an isolation unit, an output filter protection circuit and a power output end which are connected in sequence, wherein the power input end is connected with a direct-current power supply of the motor car, and the power output end is connected with the data processing module.
The power module uses a direct current power supply on the train as a main power supply input and converts a power supply required by the system through the DC TO DC isolation unit. The power input end is provided with an anti-reverse fuse protection circuit and a surge impact protection circuit (comprising surge, EFT and ESD), and the power output end is provided with a TVS protection circuit and a filter circuit.
The input filter protection circuit consists of a fuse, a piezoresistor, a diode and a common-mode inductor and provides clean and stable power supply voltage for the isolation module.
The input processing of the isolated power module URB1D24LMD-20WR3, in which the power module is designed to be golden rising sun, has the following advantages:
a. isolation voltage 2250 VDC;
b. working temperature range: -40 ℃ to +85 ℃;
c. input undervoltage protection, output short circuit, overcurrent, overvoltage protection;
d. low ripple noise;
e. and the modular design is adopted, so that the maintenance is convenient.
The sensor module is used for monitoring the axle box to obtain a detected signal; the sensor module comprises a three-direction vibration, vertical impact and temperature composite sensor arranged on the vertical direction of the axle box and a vibration sensor arranged on the transverse direction of the axle box. The three-direction vibration, vertical impact and temperature compound sensor can realize the vertical vibration detection of the axle box, and the vibration sensor can realize the transverse vibration detection of the axle box.
The acquisition module is used for carrying out preceding stage processing on the detected signal of the sensor module; the acquisition module comprises an LC filter circuit, a TVS diode and a multi-path isolation unit which are sequentially connected. The acquisition module adopts a 30Hz anti-aliasing low-pass filtering design, and mutually isolates the detection signal from the interface circuit so as to avoid mutual influence, and the hardware design adopts an LC filtering circuit and LTC3902 and AD8032 to realize the isolation of the input and output of the signal and convert the received detection signal into a useful signal required by the circuit. The high-quality filtering and isolating circuit lays a foundation for rear-end signal processing.
The sensor module outputs a current signal to the acquisition module through signal change, the current signal is an output signal of 4-20mA, the signal is one of the most common design standards in the current industrial design, has strong anti-interference capability and can adapt to an industrial field with serious interference. After receiving the signal, the acquisition module performs pre-stage filtering processing, the filter circuit adopts an LC filter circuit design to filter out interference such as field electromagnetism, an electric field, harmonic waves and the like, and simultaneously well inhibits strong voltage interference from the environment by combining with a TVS diode, effectively inhibits common mode and differential mode interference, effectively inputs useful signals to post-stage conversion processing, and greatly improves the precision and accuracy of the input signals; the clean voltage signal is converted and output through T1630P. T1630P is a multi-path isolation module, which effectively isolates signal input, signal output, power input, and power output, and the isolation voltage can reach 2500VDC, thus effectively protecting the post-processing circuit.
The data processing module adopts an STM32F407 chip as an operating platform of a software system to finish the core operation processing of the monitoring data, the logic structure of the data processing module is shown in figure 2, the data processing module integrates the functions of an RS232, an SD card, a CAN bus, an RS485 bus, a LAN and a USB, and CAN monitor, diagnose, alarm and store the monitoring data in real time.
The data processing module utilizes vibration data acquired by the sensor module in the system operation process, analysis and calculation are carried out by combining an algorithm, and the function of pre-alarming faults is achieved by comparing and judging result values and fault values. The temperature data collected by the sensor module is utilized, the analysis and calculation are carried out by combining with an algorithm, and the function of pre-alarming faults is achieved by comparing and judging the result value and the fault value.
And the communication module transmits the data operated by the data processing module to a train monitoring room. As shown in fig. 4, the communication module includes an ARM controller, a CAN bus and an RS485 bus for communicating with the data processing board card, and an MVB unit for acquiring an MVB bus command and transmitting alarm data.
The ARM controller adopts STM32F103 as a control center of the communication board card; the CAN bus and the RS485 bus realize mutual communication and data transmission in two communication modes; and the MVB unit uploads the data.
The IO module communicates with a communication board card through an internal bus and processing, and transmits speed signals, axle box abnormal signals, device fault signals and the like. The IO board includes a Digital Input (DI) and a Digital Output (DO) and functions as an interface (relay, optocoupler) between the processing and communication board and other devices.
The storage module creates a data storage folder based on the SD card, and stores related temperature, vibration and pre-alarm data in each file of the SD card in the system operation process respectively to realize a storage function.
The system adopts an RT-thread and MDK5 real-time operating system based on an STM32F4 series single chip microcomputer, and the system has five threads in the running process, namely storage, acceleration diagnosis, temperature diagnosis, self-checking and communication. The whole software core algorithm is realized in a diagnosis thread, and the data flow of bearing processing and derailment processing is from acquisition to visual display and the analysis flow is shown in figure 5.
And the self-checking function is used for finishing the detection of the system mounting of the SD card, acquiring the system time from the data processing module, creating a data file by using the system time, and simultaneously reading the configuration data from the flash to finish the self-checking starting of the system.
The CAN communication function, i.e., initializes the CAN communication system, waiting for data to be sent and received over the bus.
The axle box vibration detection system has the innovation points that:
1. the power supply module has reliable hardware conditions, and the stable power supply module ensures effective transmission power supply;
2. the reliability can be improved by adopting vibration, impact and temperature composite sensors and dual-temperature redundancy design and applying two fault identification algorithms of resonance demodulation and dual-number complex wavelet to carry out mutual verification;
3. the bearing derailment detection device has five functions of bearing fault diagnosis, derailment detection, polygon detection, track foreign matter detection and derailment trend judgment.
The present invention is not limited to the above-described alternative embodiments, and various other forms of products can be obtained by anyone in light of the present invention. The above detailed description should not be taken as limiting the scope of the invention, which is defined in the claims, and which the description is intended to be interpreted accordingly.
Claims (7)
1. The utility model provides an axle box vibration detecting system which characterized in that: comprises that
The power supply module is used for supplying power to each part;
the data processing module is connected with the power supply module and is used for carrying out operation processing on the monitoring data;
the sensor module is used for monitoring the axle box to obtain a detected signal;
the acquisition module is respectively connected with the sensor module and the data processing module and is used for carrying out preceding-stage processing on a measured signal of the sensor module, and the acquisition module comprises an LC filter circuit, a TVS diode and a multi-path isolation unit which are sequentially connected;
and the communication module is connected with the data processing module and is used for communicating with the outside.
2. The axlebox vibration sensing system of claim 1, wherein: the power module comprises a power input end, an input filter protection circuit, an isolation unit, an output filter protection circuit and a power output end which are connected in sequence, wherein the power input end is connected with the direct-current power supply of the motor car, and the power output end is connected with the data processing module.
3. The axlebox vibration sensing system of claim 2, wherein: the power supply comprises a power supply input end and a power supply output end, wherein the power supply input end is provided with an anti-reverse fuse protection circuit and a surge impact protection circuit, and the power supply output end is provided with a TVS protection circuit and a filter circuit.
4. The axlebox vibration sensing system of claim 1, wherein: the communication module comprises an ARM controller serving as a control center, a CAN bus and an RS485 bus which are used for communicating with the data processing board card, and an MVB unit which is used for acquiring an MVB bus command and transmitting alarm data.
5. An axlebox vibration sensing system according to any of claims 1 to 4, wherein: the axle box vibration detection system comprises an IO module connected with the data processing module, and the IO module comprises a digital input end and a digital output end.
6. An axlebox vibration sensing system according to any of claims 1 to 4, wherein: the axle box vibration detection system comprises a clock module and a storage module which are connected with a data processing module, and an upper computer which is in communication connection with a communication module.
7. An axlebox vibration sensing system according to any of claims 1 to 4, wherein: the sensor module comprises a three-direction vibration, vertical impact and temperature composite sensor arranged on the vertical direction of the axle box and a vibration sensor arranged on the transverse direction of the axle box.
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| CN201810167277.1A CN110207810B (en) | 2018-02-28 | 2018-02-28 | Axle box vibration detection system |
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| CN201810167277.1A CN110207810B (en) | 2018-02-28 | 2018-02-28 | Axle box vibration detection system |
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| CN110887523A (en) * | 2019-11-20 | 2020-03-17 | 江苏理工学院 | Rail vehicle axle box monitoring system based on LabVIEW |
| CN112113655B (en) * | 2020-09-21 | 2021-06-01 | 西南交通大学 | Vibration signal detection device and health assessment method for subway track fastener |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101266189A (en) * | 2008-05-07 | 2008-09-17 | 上海理工大学 | Structural low-frequency vibration wireless patrol star network construction method |
| CN201555658U (en) * | 2009-12-15 | 2010-08-18 | 中国铁道科学研究院机车车辆研究所 | Railway contact net vibration performance test device |
| CN202305009U (en) * | 2011-10-19 | 2012-07-04 | 北京鼎汉检测技术有限公司 | Device for detecting horizontal vibration of railway track vehicle body |
| CN202455274U (en) * | 2012-01-10 | 2012-09-26 | 江苏北洋电子科技有限公司 | Novel high-power direct current communication power supply |
| CN102914364A (en) * | 2012-10-19 | 2013-02-06 | 西南交通大学 | Dynamic identifying method for instant contact loss of wheel rail under impact effect of wheel rail |
| CN103884371A (en) * | 2012-12-20 | 2014-06-25 | 中国科学院沈阳自动化研究所 | Fault diagnosis device and method based on WIA-PA wireless vibration instrument |
| CN104578279A (en) * | 2014-12-26 | 2015-04-29 | 东莞钜威新能源有限公司 | Battery charging power system |
| CN204652214U (en) * | 2015-04-23 | 2015-09-16 | 江苏博克斯自动化控制工程有限公司 | A kind of little ripple DC conversion power |
| CN105973457A (en) * | 2016-04-28 | 2016-09-28 | 中国铁道科学研究院 | China railway high-speed train on-board stability monitoring device and method |
| CN106687353A (en) * | 2014-09-12 | 2017-05-17 | Ntn株式会社 | Railroad car bearing abnormality sensing system |
| CN206804281U (en) * | 2017-02-17 | 2017-12-26 | 常州路航轨道交通科技有限公司 | EMUs revolving part Fault monitoring and diagnosis system |
| CN107631882A (en) * | 2017-08-21 | 2018-01-26 | 北京锦鸿希电信息技术股份有限公司 | The acquisition methods and device of vehicle axle box residual life |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102227090B (en) * | 2011-06-27 | 2013-08-21 | 山西省电力公司临汾供电分公司 | Intelligent FA (feeder automation) system of 10kV-carrier communication |
-
2018
- 2018-02-28 CN CN201810167277.1A patent/CN110207810B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101266189A (en) * | 2008-05-07 | 2008-09-17 | 上海理工大学 | Structural low-frequency vibration wireless patrol star network construction method |
| CN201555658U (en) * | 2009-12-15 | 2010-08-18 | 中国铁道科学研究院机车车辆研究所 | Railway contact net vibration performance test device |
| CN202305009U (en) * | 2011-10-19 | 2012-07-04 | 北京鼎汉检测技术有限公司 | Device for detecting horizontal vibration of railway track vehicle body |
| CN202455274U (en) * | 2012-01-10 | 2012-09-26 | 江苏北洋电子科技有限公司 | Novel high-power direct current communication power supply |
| CN102914364A (en) * | 2012-10-19 | 2013-02-06 | 西南交通大学 | Dynamic identifying method for instant contact loss of wheel rail under impact effect of wheel rail |
| CN103884371A (en) * | 2012-12-20 | 2014-06-25 | 中国科学院沈阳自动化研究所 | Fault diagnosis device and method based on WIA-PA wireless vibration instrument |
| CN106687353A (en) * | 2014-09-12 | 2017-05-17 | Ntn株式会社 | Railroad car bearing abnormality sensing system |
| CN104578279A (en) * | 2014-12-26 | 2015-04-29 | 东莞钜威新能源有限公司 | Battery charging power system |
| CN204652214U (en) * | 2015-04-23 | 2015-09-16 | 江苏博克斯自动化控制工程有限公司 | A kind of little ripple DC conversion power |
| CN105973457A (en) * | 2016-04-28 | 2016-09-28 | 中国铁道科学研究院 | China railway high-speed train on-board stability monitoring device and method |
| CN206804281U (en) * | 2017-02-17 | 2017-12-26 | 常州路航轨道交通科技有限公司 | EMUs revolving part Fault monitoring and diagnosis system |
| CN107631882A (en) * | 2017-08-21 | 2018-01-26 | 北京锦鸿希电信息技术股份有限公司 | The acquisition methods and device of vehicle axle box residual life |
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Denomination of invention: Axle box vibration detection system Granted publication date: 20211130 Pledgee: China Construction Bank Corporation Changzhou Huimin sub branch Pledgor: CHANGZHOU LUHANG RAILWAY TRANSPORTATION TECHNOLOGY CO.,LTD. Registration number: Y2024980017307 |