CN109353376A - Rail vehicle monitors system and its monitoring method - Google Patents
Rail vehicle monitors system and its monitoring method Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 132
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61K—AUXILIARY EQUIPMENT SPECIALLY ADAPTED FOR RAILWAYS, NOT OTHERWISE PROVIDED FOR
- B61K9/00—Railway vehicle profile gauges; Detecting or indicating overheating of components; Apparatus on locomotives or cars to indicate bad track sections; General design of track recording vehicles
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- Electric Propulsion And Braking For Vehicles (AREA)
- Valves And Accessory Devices For Braking Systems (AREA)
Abstract
Disclose a kind of rail vehicle monitoring system and its monitoring method, system includes bogie monitoring unit, car body monitoring unit, brake apparatus monitoring unit, attachment device monitoring unit, processing unit and server, processing unit includes that the feature extraction unit and fault alarm unit that generate characteristic parameter are extracted based on first to fourth measuring signal and/or first to fourth voltage signal, judge whether to break down based on characteristic parameter, in response to breaking down, fault alarm unit sounds an alarm, in response to not breaking down, store characteristic parameter, server connects bogie monitoring unit, car body monitoring unit, brake apparatus monitoring unit, attachment device monitoring unit and processing unit are to obtain first to fourth measuring signal and/or first to fourth voltage signal and characteristic parameter, server is based on life model training first to fourth Measuring signal and/or first to fourth voltage signal obtain bogie, car body, brake apparatus, attachment device assessment life value.
Description
Technical field
The present invention relates to a kind of rail vehicle technical field, especially a kind of rail vehicle monitoring system and its monitoring side
Method.
Background technique
With the construction of urban track traffic, rail traffic is information-based, intelligentized trend is increasingly apparent.Vehicle is city
The core of rail traffic, reliability directly affect the safe and efficient operation of urban rail.In recent years, vehicle structure becomes increasingly complex,
Function is more and more perfect, and the degree of automation is higher and higher, and at the same time, the probability that rail traffic vehicles break down is also continuous
It increases, the complicated multiplicity of fault type.
However, the monitoring for rail traffic vehicles only rests on the fields such as video monitoring, electrical monitoring, seldom it is related to machine
The monitoring of tool part.The reason is that rail traffic vehicles mechanical fault diagnosis and the difficulty of health control are very big.Conventional
Monitoring device can not directly use on rail traffic vehicles, be difficult to install in specific space, also do not have warning function, no
It is able to satisfy the requirement of rail traffic vehicles intellectual monitoring.It is health management system arranged at present to stress more to status monitoring, but fail
Good research and application data, more can not look-ahead failure, accurate evaluation equipment health status, estimate remaining life, nothing
Method is that metro operation company formulates the plan such as reasonable standby redundancy, Predictive Maintenance, provides effective intelligent O&M service.
Disclosed above- mentioned information are used only for enhancing the understanding to background of the present invention in the background section, it is thus possible to
Information comprising not constituting the prior art known to a person of ordinary skill in the art in home.
Summary of the invention
In place of solving above-mentioned the deficiencies in the prior art, the present invention provides a kind of rail vehicle monitoring system and its monitoring side
Method, monitoring component directly can monitor position monitoring in correlation via distributed frame, be easily installed, by monitoring signals
It is uniformly processed, the data characteristics of various types failure is obtained by data processing, it can be with look-ahead event after feature extraction
Barrier, accurate evaluation equipment health status estimate remaining life, formulate reasonable standby redundancy, precognition dimension for metro operation company
The plan of repairing etc. provides effective intelligent O&M service.
The purpose of the present invention is be achieved by the following technical programs.
One aspect of the present invention, a kind of rail vehicle monitoring system include bogie monitoring unit, car body monitoring unit,
Brake apparatus monitoring unit, attachment device monitoring unit, processing unit and server, wherein
Bogie monitoring unit is distributed frame comprising,
Multiple first measuring units, multiple first measuring units for being configured to obtain the first measuring signal are respectively provided at steering
The traction electric machine of frame, gear-box, wheel to, axle box bearing and framework,
First conditioning conversion unit, connects the multiple first measuring unit to receive first measuring signal to adjust
Reason amplification is converted to first voltage signal,
Car body monitoring unit is distributed frame comprising,
Multiple second measuring units, multiple second measuring units for being configured to obtain the second measuring signal are respectively provided at car body
On,
Second conditioning conversion unit, connects the multiple second measuring unit to receive second measuring signal to adjust
Reason amplification is converted to second voltage signal,
Brake apparatus monitoring unit is distributed frame comprising,
Multiple third measuring units, the multiple third measuring units for being configured to obtain third measuring signal are respectively provided at braking
On device,
Third improves conversion unit, connects the multiple third measuring unit to receive the third measuring signal to adjust
Reason amplification is converted to tertiary voltage signal,
Attachment device monitoring unit is distributed frame comprising,
Multiple 4th measuring units, multiple 4th measuring units for being configured to obtain the 4th measuring signal are respectively provided at connection
On device,
4th conditioning conversion unit, connects the multiple 4th measuring unit to receive the 4th measuring signal to adjust
Reason amplification is converted to the 4th voltage signal,
Processing unit connects the bogie monitoring unit, car body monitoring unit, brake apparatus monitoring unit and connection
Device monitoring unit to obtain first to fourth measuring signal and/or first to fourth voltage signal, processing unit include,
Feature extraction unit is extracted based on first to fourth measuring signal and/or first to fourth voltage signal and is generated
Characteristic parameter,
Fault alarm unit judges whether to break down based on the characteristic parameter, in response to breaking down, failure report
Alert unit sounds an alarm, and in response to not breaking down, stores the characteristic parameter,
Server connects the bogie monitoring unit, car body monitoring unit, brake apparatus monitoring unit, connection dress
Monitoring unit and processing unit are set to obtain first to fourth measuring signal and/or first to fourth voltage signal and feature ginseng
Number, server includes,
Wavelet analysis unit, based on characteristic parameter with establish bogie, car body, brake apparatus, attachment device service life
Model,
Support vector machines, based on life model first to fourth measuring signal of training and/or first to fourth voltage letter
Number obtain bogie, car body, brake apparatus, attachment device assessment life value.
In the rail vehicle monitoring system, the first measuring unit includes,
First vibrating sensor is arranged in first vibrating sensor at traction electric machine and is configured to measurement traction electric machine
Vibration and issue the first vibration signal to first conditioning conversion unit,
First speed probe is arranged in first speed probe at traction electric machine and is configured to measurement traction electric machine
Revolving speed and issue the first tach signal to first conditioning conversion unit,
First temperature sensor is arranged in first temperature sensor at traction electric machine and is configured to measurement traction electric machine
Temperature and issue the first temperature signal to first conditioning conversion unit,
Second vibrating sensor is arranged in the vibration that second vibrating sensor at gear-box is configured to measurement gear-box
The second vibration signal to the first conditioning conversion unit is moved and issues,
Second speed probe is arranged in second speed probe at gear-box and is configured to turning for measurement gear-box
Speed simultaneously issues the second tach signal to the first conditioning conversion unit,
Second temperature sensor is arranged in the temperature that the second temperature sensor at gear-box is configured to measurement gear-box
It spends and issues second temperature signal and improve conversion unit to first,
Third vibrating sensor is arranged in wheel and is configured to the vibration of measurement wheel pair simultaneously to the third vibrating sensor at place
It issues third vibration signal and improves conversion unit to first,
Third speed probe is arranged in wheel and is configured to the revolving speed of measurement wheel pair simultaneously to the third speed probe at place
It issues third tach signal and improves conversion unit to first,
4th vibrating sensor is arranged in the 4th vibrating sensor at axle box bearing and is configured to measurement axle box bearing
Vibration and issue the 4th vibration signal to first conditioning conversion unit,
4th speed probe is arranged in the 4th speed probe at axle box bearing and is configured to measurement axle box bearing
Revolving speed and issue the 4th tach signal to first conditioning conversion unit,
Fiber Bragg grating strain sensor is arranged in the strain transducer at bogie frame and is configured to measurement steering
The strain of framework frame simultaneously issues strain signal to the first conditioning conversion unit.
In the rail vehicle monitoring system, the processing unit further includes for handling first to fourth measurement letter
Number and/or first to fourth voltage signal adaptive-filtering unit, the adaptive-filtering unit connects the feature extraction
Unit.
In the rail vehicle monitoring system, the rail vehicle monitoring system further includes being arranged in rail vehicle
Display unit, connect the processing unit to show characteristic parameter.
In the rail vehicle monitoring system, in response to not breaking down, fault alarm unit also stores pre- timing
Between section first to fourth measuring signal and/or first to fourth voltage signal.
In the rail vehicle monitoring system, server is cloud server, and cloud server includes processor, hard
Disk, memory, bus and the wireless telecom equipment for being used to interact with measuring device with unified format, the wireless telecom equipment is at least
Including mobile communication network device, the mobile communication network device include 2G wireless communication chips, 3G wireless communication chips and/
Or 4G wireless communication chips.
In the rail vehicle monitoring system, the rail vehicle monitoring system further includes being arranged in rail vehicle
For obtains a little examine data point inspection unit, it is described point examine unit connection processing unit.
In the rail vehicle monitoring system, the fault alarm unit includes vibrator, buzzer and/or LED
Lamp.
In the rail vehicle monitoring system, server further include for calculate bogie, car body, brake apparatus,
The hidden Markov chain computing unit of the remaining lifetime value of attachment device.
According to another aspect of the present invention, a kind of monitoring method step packet using the rail vehicle monitoring system
It includes:
In first step, multiple first to fourth measuring units detection bogies, car body, brake apparatus and attachment device with
First to fourth measuring signal is obtained, the conditioning amplification of first to fourth measuring signal is converted into first to fourth voltage signal,
In second step, is extracted based on first to fourth measuring signal and/or first to fourth voltage signal and generate feature
Parameter judges whether to break down based on the characteristic parameter, and in response to breaking down, fault alarm unit is sounded an alarm, and rings
Ying Yuwei breaks down, and stores the characteristic parameter,
In third step, based on characteristic parameter with establish bogie, car body, brake apparatus, attachment device life model,
Bogie, car body, braking are obtained based on life model first to fourth measuring signal of training and/or first to fourth voltage signal
The assessment life value of device, attachment device.
The present invention passes through feature extraction, diagnostic analysis, health evaluating, life prediction etc. from the status monitoring of vehicle
Technology and methods realize the intellectual monitoring, intelligent diagnostics, intelligent predicting to urban rail transit vehicles, and pass through profound number
It is that metro operation company, manufacturing enterprise etc. provide intelligent O&M service according to excavating.In the present invention, vehicle-mounted part is supervised with state
It surveys, intelligent alarm function, and saves the data of 30s before and after the alarm moment, so as to subsequent data analysis.Have diagnostic analysis, be good for
The functions such as health assessment and life prediction, realize the Predictive Maintenance of rail traffic vehicles.Maintenance decision, standby redundancy, collaboration are provided
The service such as management calculates with science and technology and carries out intelligent O&M service with data analysis.
The above description is only an overview of the technical scheme of the present invention, in order to make technological means of the invention clearer
Understand, reach the degree that those skilled in the art can be implemented in accordance with the contents of the specification, and in order to allow the present invention
Above and other objects, features and advantages can be more clearly understood, illustrated below with a specific embodiment of the invention
Explanation.
Detailed description of the invention
By reading the detailed description in hereafter preferred embodiment, various other advantages and benefits of the present invention
It will become apparent to those of ordinary skill in the art.Figure of description only for the purpose of illustrating preferred embodiments,
And it is not to be construed as limiting the invention.It should be evident that drawings discussed below is only some embodiments of the present invention,
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings
Other attached drawings.And throughout the drawings, identical component is presented with like reference characters.
In the accompanying drawings:
Fig. 1 is the structural schematic diagram of rail vehicle monitoring system according to an embodiment of the invention;
Fig. 2 is vehicle-mounted portion's distribution schematic diagram of rail vehicle monitoring system according to an embodiment of the invention;
Fig. 3 is the structural schematic diagram of rail vehicle monitoring system in accordance with another embodiment of the present invention;
Fig. 4 is the structural representation of the bogie monitoring unit of rail vehicle monitoring system according to an embodiment of the invention
Figure;
Fig. 5 is the operation schematic diagram of rail vehicle monitoring system according to an embodiment of the invention;
The step of Fig. 6 is the monitoring method according to an embodiment of the invention that system is monitored using rail vehicle signal
Figure.
Below in conjunction with drawings and examples, the present invention will be further explained.
Specific embodiment
1 to the specific embodiment that the present invention will be described in more detail of attached drawing 6 below with reference to accompanying drawings.Although being shown in attached drawing
Specific embodiments of the present invention, it being understood, however, that may be realized in various forms the reality of the invention without that should be illustrated here
Example is applied to be limited.On the contrary, providing these embodiments is to be able to thoroughly understand the present invention, and can will be of the invention
Range is fully disclosed to those skilled in the art.
It should be noted that having used some vocabulary in the specification and claims to censure specific components.Ability
Field technique personnel it would be appreciated that, technical staff may call the same component with different nouns.This specification and right
It is required that not in such a way that the difference of noun is as component is distinguished, but with the difference of component functionally as differentiation
Criterion."comprising" or " comprising " as mentioned throughout the specification and claims are an open language, therefore should be solved
It is interpreted into " including but not limited to ".Specification subsequent descriptions are to implement better embodiment of the invention, so the description be with
For the purpose of the rule of specification, the range that is not intended to limit the invention.Protection scope of the present invention is when the appended right of view
It is required that subject to institute's defender.
In order to facilitate understanding of embodiments of the present invention, further by taking specific embodiment as an example below in conjunction with attached drawing to be solved
Explanation is released, and each attached drawing does not constitute the restriction to the embodiment of the present invention.
In order to better understand, Fig. 1 is the structural representation of rail vehicle monitoring system according to an embodiment of the invention
Figure, as shown in Figure 1, a kind of rail vehicle monitors system comprising bogie monitoring unit 1, car body monitoring unit 2, braking dress
Set monitoring unit 3, attachment device monitoring unit 4, processing unit 6 and server 5, wherein
Bogie monitoring unit 1 is distributed frame comprising,
Multiple first measuring units, multiple first measuring units for being configured to obtain the first measuring signal are respectively provided at steering
The traction electric machine of frame, gear-box, wheel to, axle box bearing and framework,
First conditioning conversion unit, connects the multiple first measuring unit to receive first measuring signal to adjust
Reason amplification is converted to first voltage signal,
Car body monitoring unit 2 is distributed frame comprising,
Multiple second measuring units, multiple second measuring units for being configured to obtain the second measuring signal are respectively provided at car body
On,
Second conditioning conversion unit, connects the multiple second measuring unit to receive second measuring signal to adjust
Reason amplification is converted to second voltage signal,
Brake apparatus monitoring unit 3 is distributed frame comprising,
Multiple third measuring units, the multiple third measuring units for being configured to obtain third measuring signal are respectively provided at braking
On device,
Third improves conversion unit, connects the multiple third measuring unit to receive the third measuring signal to adjust
Reason amplification is converted to tertiary voltage signal,
Attachment device monitoring unit 4 is distributed frame comprising,
Multiple 4th measuring units, multiple 4th measuring units for being configured to obtain the 4th measuring signal are respectively provided at connection
On device,
4th conditioning conversion unit, connects the multiple 4th measuring unit to receive the 4th measuring signal to adjust
Reason amplification is converted to the 4th voltage signal,
Processing unit 6 connects the bogie monitoring unit, car body monitoring unit, brake apparatus monitoring unit and company
Connection device monitoring unit to obtain first to fourth measuring signal and/or first to fourth voltage signal, processing unit include,
Feature extraction unit is extracted based on first to fourth measuring signal and/or first to fourth voltage signal and is generated
Characteristic parameter,
Fault alarm unit judges whether to break down based on the characteristic parameter, in response to breaking down, failure report
Alert unit sounds an alarm, and in response to not breaking down, stores the characteristic parameter,
Server 5 connects the bogie monitoring unit, car body monitoring unit, brake apparatus monitoring unit, connection dress
Monitoring unit and processing unit are set to obtain first to fourth measuring signal and/or first to fourth voltage signal and feature ginseng
Number, server 5 includes,
Wavelet analysis unit, based on characteristic parameter with establish bogie, car body, brake apparatus, attachment device service life
Model,
Support vector machines, based on life model first to fourth measuring signal of training and/or first to fourth voltage letter
Number obtain bogie, car body, brake apparatus, attachment device assessment life value.
In one embodiment, as shown in Fig. 2, car body monitoring unit 2, brake apparatus monitoring unit 3, attachment device monitoring
Unit 4 arranges multiple types in car body, brake apparatus, attachment device respectively as 1 distributed arrangement of bogie monitoring unit
Sensor converts standard voltage signal for analog signal by conditioning conversion unit, is passed signal by Ethernet weight on line
It send to processing unit 6 and is handled.Processing unit 6 hands over the inside mounting condition of vehicular traffic control cabinet to design according to rail, both may be used
Directly to receive the analog signal of sensor, and standard voltage signal can be directly inputted.Processing unit 6 has adaptive filter
Wave, feature extraction functions, and built-in vehicle-mounted mirror image model carries out intelligent early-warning to the critical component of urban rail transit vehicles
With alarm, monitoring data and alarming result are directly output to vehicle display unit and are shown.Simultaneously in alarm moment, processing unit
6 can store the convenient depth analysis to trouble location and type of 30s initial data before and after the alarm moment.Finally, processing unit 6
Characteristic, alert data, initial data etc. are uniformly sent to server 5 by private network.
In one embodiment, referring to Fig. 3, bogie monitoring unit 1, vehicle comprising being installed on urban rail transit vehicles
Body monitoring unit 2, brake apparatus monitoring unit 3, attachment device monitoring unit 4, processing unit 6, vehicle display unit 7 are realized
To the comprehensive monitoring of urban track traffic critical component and intelligent early-warning;Then real-time data transmission is extremely serviced by private network
Device 5, the deep layer by ground PHM system are excavated, and carry out concentration displaying in big data monitoring center;Meanwhile device includes intelligence
Inspection data and result are directly sent to big data server 5 by wireless network, made for the excavation of data deep layer by point inspection unit
With.The device passes through feature extraction, diagnostic analysis, health evaluating, service life from the status monitoring of urban rail transit vehicles
The technology and methods such as prediction realize the intellectual monitoring, intelligent diagnostics, intelligent predicting to urban rail transit vehicles, and pass through deep layer
Secondary data mining is that metro operation company, manufacturing enterprise etc. provide intelligent O&M service.
In one embodiment, with reference to Fig. 4, the bogie monitoring unit 1 is arranged using distributed frame, main to wrap
Sensor containing multiple types and conditioning conversion unit two parts, realize the intellectual monitoring to each components in bogie inside.Wherein, exist
On the traction electric machine of bogie, vibration, revolving speed, temperature sensor are installed;On the gear-box of bogie install vibration, revolving speed,
Temperature sensor;Upper installation is vibrated in the wheel of bogie, speed probe;On the axle box bearing of bogie, installation vibration,
Temperature sensor;Installation strain, fiber-optic grating sensor on the framework of bogie;All the sensors analog signal, which enters, to be adjusted
Reason conversion unit carries out conditioning amplification, is converted into standard voltage signal, carries out signal by Ethernet weight on line and processing unit 6
Transmission.
The car body monitoring unit 2, brake apparatus monitoring unit 3, attachment device monitoring unit 4, which is characterized in that with
1 distributed arrangement of bogie monitoring unit is the same, arranges multiple types sensor in car body, brake apparatus, attachment device respectively, leads to
It crosses conditioning conversion unit and converts standard voltage signal for analog signal, it is single to transmit signals to processing by Ethernet weight on line
Member 6 is handled.
In one embodiment, the processing unit 6 hands over the inside mounting condition of vehicular traffic control cabinet to set according to rail
Meter, not only can directly receive the analog signal of sensor, but also can directly input standard voltage signal.Processing unit 6 has certainly
Adaptive filtering, feature extraction functions, and built-in vehicle-mounted mirror image model carries out intelligence to the critical component of urban rail transit vehicles
Monitoring data are directly output to vehicle display unit 7 with alarming result and shown by energy early warning and alarm.Simultaneously alarm the moment,
Processing unit 6 can store the convenient depth analysis to trouble location and type of 30s initial data before and after the alarm moment.Finally,
Characteristic, alert data, initial data etc. are uniformly sent to big data server 8 by private network by processing unit 6.
In one embodiment, with reference to Fig. 5, ground PHM system obtains data from big data server 5, carries out depth
Data mining is diagnosed in the way of the modern signal processings such as wavelet analysis, demodulation by filter, adaptive-filtering, local mean value decomposition
Fault type and degree are analyzed, health evaluating is carried out to vehicle monitoring component with support vector description method, popular learning algorithm,
Predicting residual useful life is carried out using the methods of Bayesian network, hidden Markov chain, support vector machines, and according to prediction result system
Determine maintenance measures, standby redundancy, maintenance project, while coordinated management is carried out by multiline message convergence analysis, realizes product
Transformation and upgrade finally provide intellectual monitoring, intelligent diagnostics, intelligent predicting, intelligent O&M for metro operation company, manufacturing enterprise etc.
Service.
In the preferred embodiment of the described rail vehicle monitoring system, the first measuring unit includes,
First vibrating sensor is arranged in first vibrating sensor at traction electric machine and is configured to measurement traction electric machine
Vibration and issue the first vibration signal to first conditioning conversion unit,
First speed probe is arranged in first speed probe at traction electric machine and is configured to measurement traction electric machine
Revolving speed and issue the first tach signal to first conditioning conversion unit,
First temperature sensor is arranged in first temperature sensor at traction electric machine and is configured to measurement traction electric machine
Temperature and issue the first temperature signal to first conditioning conversion unit,
Second vibrating sensor is arranged in the vibration that second vibrating sensor at gear-box is configured to measurement gear-box
The second vibration signal to the first conditioning conversion unit is moved and issues,
Second speed probe is arranged in second speed probe at gear-box and is configured to turning for measurement gear-box
Speed simultaneously issues the second tach signal to the first conditioning conversion unit,
Second temperature sensor is arranged in the temperature that the second temperature sensor at gear-box is configured to measurement gear-box
It spends and issues second temperature signal and improve conversion unit to first,
Third vibrating sensor is arranged in wheel and is configured to the vibration of measurement wheel pair simultaneously to the third vibrating sensor at place
It issues third vibration signal and improves conversion unit to first,
Third speed probe is arranged in wheel and is configured to the revolving speed of measurement wheel pair simultaneously to the third speed probe at place
It issues third tach signal and improves conversion unit to first,
4th vibrating sensor is arranged in the 4th vibrating sensor at axle box bearing and is configured to measurement axle box bearing
Vibration and issue the 4th vibration signal to first conditioning conversion unit,
4th speed probe is arranged in the 4th speed probe at axle box bearing and is configured to measurement axle box bearing
Revolving speed and issue the 4th tach signal to first conditioning conversion unit,
Fiber Bragg grating strain sensor is arranged in the strain transducer at bogie frame and is configured to measurement steering
The strain of framework frame simultaneously issues strain signal to the first conditioning conversion unit.
In the preferred embodiment of the rail vehicle monitoring system, the processing unit further includes for handling first
To the 4th measuring signal and/or the adaptive-filtering unit of first to fourth voltage signal, the adaptive-filtering unit connection
The feature extraction unit.
In the preferred embodiment of the rail vehicle monitoring system, the rail vehicle monitoring system further includes cloth
The display unit in rail vehicle is set, connects the processing unit to show characteristic parameter.
In the preferred embodiment of the rail vehicle monitoring system, in response to not breaking down, fault alarm unit
Also store first to fourth measuring signal and/or first to fourth voltage signal of predetermined amount of time.
In the preferred embodiment of the rail vehicle monitoring system, server is cloud server, cloud server
Including processor, hard disk, memory, bus and the wireless telecom equipment for being used to interact with measuring device with unified format, the nothing
Line communication equipment includes at least mobile communication network device, and the mobile communication network device includes 2G wireless communication chips, 3G
Wireless communication chips and/or 4G wireless communication chips.
In the preferred embodiment of the rail vehicle monitoring system, the rail vehicle monitoring system further includes cloth
It sets in rail vehicle for obtaining the point inspection unit for a little examining data, the point inspection unit connects processing unit.
In the preferred embodiment of the rail vehicle monitoring system, the fault alarm unit includes vibrator, bee
Ring device and/or LED light.
In the preferred embodiment of the rail vehicle monitoring system, server further includes for calculating bogie, vehicle
Body, brake apparatus, attachment device remaining lifetime value hidden Markov chain computing unit.
Referring to Fig. 6, a kind of monitoring method step using the described rail vehicle monitoring system includes:
In first step S1, multiple first to fourth measuring unit detection bogies, car body, brake apparatus and attachment device
To obtain first to fourth measuring signal, the conditioning amplification of first to fourth measuring signal is converted into first to fourth voltage signal,
In second step S2, is extracted based on first to fourth measuring signal and/or first to fourth voltage signal and generate spy
Parameter is levied, judges whether to break down based on the characteristic parameter, in response to breaking down, fault alarm unit is sounded an alarm,
In response to not breaking down, the characteristic parameter is stored,
In third step S3, based on characteristic parameter with establish bogie, car body, brake apparatus, attachment device service life mould
Type, based on life model training first to fourth measuring signal and/or first to fourth voltage signal obtain bogie, car body,
The assessment life value of brake apparatus, attachment device.
Although embodiment of the present invention is described in conjunction with attached drawing above, the invention is not limited to above-mentioned
Specific embodiments and applications field, above-mentioned specific embodiment are only schematical, directiveness, rather than restricted
's.Those skilled in the art are under the enlightenment of this specification and in the range for not departing from the claims in the present invention and being protected
In the case where, a variety of forms can also be made, these belong to the column of protection of the invention.
Claims (10)
1. a kind of rail vehicle monitors system comprising bogie monitoring unit, car body monitoring unit, brake apparatus monitoring are single
Member, attachment device monitoring unit, processing unit and server, wherein
Bogie monitoring unit is distributed frame comprising,
Multiple first measuring units, multiple first measuring units for being configured to obtain the first measuring signal are respectively provided at bogie
Traction electric machine, gear-box, wheel to, axle box bearing and framework,
First conditioning conversion unit, connects the multiple first measuring unit and is put with receiving first measuring signal to improve
It is converted to first voltage signal greatly,
Car body monitoring unit is distributed frame comprising,
Multiple second measuring units, multiple second measuring units for being configured to obtain the second measuring signal are respectively provided on car body,
Second conditioning conversion unit, connects the multiple second measuring unit and is put with receiving second measuring signal to improve
It is converted to second voltage signal greatly,
Brake apparatus monitoring unit is distributed frame comprising,
Multiple third measuring units, the multiple third measuring units for being configured to obtain third measuring signal are respectively provided at brake apparatus
On,
Third improves conversion unit, connects the multiple third measuring unit and is put with receiving the third measuring signal to improve
It is converted to tertiary voltage signal greatly,
Attachment device monitoring unit is distributed frame comprising,
Multiple 4th measuring units, multiple 4th measuring units for being configured to obtain the 4th measuring signal are respectively provided at attachment device
On,
4th conditioning conversion unit, connects the multiple 4th measuring unit and is put with receiving the 4th measuring signal to improve
It is converted to the 4th voltage signal greatly,
Processing unit connects the bogie monitoring unit, car body monitoring unit, brake apparatus monitoring unit and attachment device
Monitoring unit to obtain first to fourth measuring signal and/or first to fourth voltage signal, processing unit include,
Feature extraction unit is extracted based on first to fourth measuring signal and/or first to fourth voltage signal and generates feature
Parameter,
Fault alarm unit judges whether to break down based on the characteristic parameter, in response to breaking down, fault alarm list
Member sounds an alarm, and in response to not breaking down, stores the characteristic parameter,
Server connects the bogie monitoring unit, car body monitoring unit, brake apparatus monitoring unit, attachment device prison
Unit and processing unit are surveyed to obtain first to fourth measuring signal and/or first to fourth voltage signal and characteristic parameter, is taken
Business device include,
Wavelet analysis unit, based on characteristic parameter with establish bogie, car body, brake apparatus, attachment device life model,
Support vector machines is obtained based on life model first to fourth measuring signal of training and/or first to fourth voltage signal
Bogie, car body, brake apparatus, attachment device assessment life value.
2. rail vehicle according to claim 1 monitors system, wherein preferred, the first measuring unit includes,
First vibrating sensor is arranged in the vibration that first vibrating sensor at traction electric machine is configured to measurement traction electric machine
The first vibration signal to the first conditioning conversion unit is moved and issues,
First speed probe is arranged in first speed probe at traction electric machine and is configured to turning for measurement traction electric machine
Speed simultaneously issues the first tach signal to the first conditioning conversion unit,
First temperature sensor is arranged in the temperature that first temperature sensor at traction electric machine is configured to measurement traction electric machine
The first temperature signal to the first conditioning conversion unit is spent and issues,
Second vibrating sensor is arranged in second vibrating sensor at gear-box and is configured to the vibration of measurement gear-box simultaneously
The second vibration signal to the first conditioning conversion unit is issued,
Second speed probe is arranged in second speed probe at gear-box and is configured to the revolving speed of measurement gear-box simultaneously
The second tach signal to the first conditioning conversion unit is issued,
Second temperature sensor is arranged in the second temperature sensor at gear-box and is configured to the temperature of measurement gear-box simultaneously
It issues second temperature signal and improves conversion unit to first,
Third vibrating sensor is arranged in vibration and sending that wheel is configured to measurement wheel pair to the third vibrating sensor at place
Third vibration signal improves conversion unit to first,
Third speed probe is arranged in revolving speed and sending that wheel is configured to measurement wheel pair to the third speed probe at place
Third tach signal improves conversion unit to first,
4th vibrating sensor is arranged in the vibration that the 4th vibrating sensor at axle box bearing is configured to measurement axle box bearing
The 4th vibration signal to the first conditioning conversion unit is moved and issues,
4th speed probe is arranged in the 4th speed probe at axle box bearing and is configured to turning for measurement axle box bearing
Speed simultaneously issues the 4th tach signal to the first conditioning conversion unit,
Fiber Bragg grating strain sensor is arranged in the strain transducer at bogie frame and is configured to measurement steering structure
The strain of frame simultaneously issues strain signal to the first conditioning conversion unit.
3. rail vehicle according to claim 1 monitors system, wherein the processing unit further includes for handling first
To the 4th measuring signal and/or the adaptive-filtering unit of first to fourth voltage signal, the adaptive-filtering unit connection
The feature extraction unit.
4. rail vehicle according to claim 1 monitors system, wherein the rail vehicle monitoring system further includes cloth
The display unit in rail vehicle is set, connects the processing unit to show characteristic parameter.
5. rail vehicle according to claim 1 monitors system, wherein in response to not breaking down, fault alarm unit
Also store first to fourth measuring signal and/or first to fourth voltage signal of predetermined amount of time.
6. rail vehicle according to claim 1 monitors system, wherein server is cloud server, cloud server
Including processor, hard disk, memory, bus and the wireless telecom equipment for being used to interact with measuring device with unified format, the nothing
Line communication equipment includes at least mobile communication network device, and the mobile communication network device includes 2G wireless communication chips, 3G
Wireless communication chips and/or 4G wireless communication chips.
7. rail vehicle according to claim 1 monitors system, wherein the rail vehicle monitoring system further includes cloth
It sets in rail vehicle for obtaining the point inspection unit for a little examining data, the point inspection unit connects processing unit.
8. rail vehicle according to claim 1 monitors system, wherein the fault alarm unit includes vibrator, bee
Ring device and/or LED light.
9. rail vehicle according to claim 1 monitors system, wherein server further includes for calculating bogie, vehicle
Body, brake apparatus, attachment device remaining lifetime value hidden Markov chain computing unit.
10. a kind of monitoring method using the rail vehicle monitoring system of any of claims 1-9, step packet
It includes:
In first step (S1), multiple first to fourth measuring units detection bogies, car body, brake apparatus and attachment device with
First to fourth measuring signal is obtained, the conditioning amplification of first to fourth measuring signal is converted into first to fourth voltage signal,
In second step (S2), is extracted based on first to fourth measuring signal and/or first to fourth voltage signal and generate feature
Parameter judges whether to break down based on the characteristic parameter, and in response to breaking down, fault alarm unit is sounded an alarm, and rings
Ying Yuwei breaks down, and stores the characteristic parameter,
In third step (S3), based on characteristic parameter with establish bogie, car body, brake apparatus, attachment device life model,
Bogie, car body, braking are obtained based on life model first to fourth measuring signal of training and/or first to fourth voltage signal
The assessment life value of device, attachment device.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110271581A (en) * | 2019-06-11 | 2019-09-24 | 武汉创牛科技有限公司 | A kind of vehicle trouble acquires maintenance system in real time |
CN111661113A (en) * | 2020-05-26 | 2020-09-15 | 神华新朔铁路有限责任公司 | Operation and maintenance method and system for rail transit vehicle |
CN111824210A (en) * | 2020-07-14 | 2020-10-27 | 中车大连电力牵引研发中心有限公司 | Vehicle-mounted PHM data detection and processing system based on rail transit |
CN112849217A (en) * | 2019-11-27 | 2021-05-28 | 中车唐山机车车辆有限公司 | Processing system for abnormal vibration signals of rail train |
CN113297790A (en) * | 2021-05-19 | 2021-08-24 | 哈尔滨工业大学 | High-speed rail response prediction method based on sparse Bayesian width learning |
CN113391612A (en) * | 2020-03-13 | 2021-09-14 | 株洲中车时代电气股份有限公司 | Fault prediction and health management device and fault prediction method for vehicle transmission control system |
WO2022141623A1 (en) * | 2021-01-04 | 2022-07-07 | 中南大学 | Train compartment vibration monitoring method, vibration signal feature library establishment method and vibration signal feature library application method |
CN114954587A (en) * | 2022-06-28 | 2022-08-30 | 西安英特迈思信息科技有限公司 | Fault analysis system for running part of railway engineering vehicle |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103852271A (en) * | 2012-12-01 | 2014-06-11 | 南车青岛四方机车车辆股份有限公司 | High-speed train running gear fault diagnosis and remote monitoring system based on Internet of Things |
CN104091056A (en) * | 2014-06-27 | 2014-10-08 | 上海网正信息科技有限公司 | System and method for predicting service life of laboratory equipment |
CN106407998A (en) * | 2016-07-26 | 2017-02-15 | 北京工业大学 | Probability time-varying seawater hydraulic pump fault prediction method |
CN108303264A (en) * | 2017-01-13 | 2018-07-20 | 华为技术有限公司 | A kind of car fault diagnosis method based on cloud, device and its system |
CN108645634A (en) * | 2018-08-06 | 2018-10-12 | 深圳市晟达机械设计有限公司 | A kind of rail vehicle trouble-shooter |
-
2018
- 2018-10-24 CN CN201811246671.0A patent/CN109353376A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103852271A (en) * | 2012-12-01 | 2014-06-11 | 南车青岛四方机车车辆股份有限公司 | High-speed train running gear fault diagnosis and remote monitoring system based on Internet of Things |
CN104091056A (en) * | 2014-06-27 | 2014-10-08 | 上海网正信息科技有限公司 | System and method for predicting service life of laboratory equipment |
CN106407998A (en) * | 2016-07-26 | 2017-02-15 | 北京工业大学 | Probability time-varying seawater hydraulic pump fault prediction method |
CN108303264A (en) * | 2017-01-13 | 2018-07-20 | 华为技术有限公司 | A kind of car fault diagnosis method based on cloud, device and its system |
CN108645634A (en) * | 2018-08-06 | 2018-10-12 | 深圳市晟达机械设计有限公司 | A kind of rail vehicle trouble-shooter |
Non-Patent Citations (1)
Title |
---|
邵俊捷等: "故障预测与健康管理技术在动车组中的应用", 《城市轨道交通》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110271581A (en) * | 2019-06-11 | 2019-09-24 | 武汉创牛科技有限公司 | A kind of vehicle trouble acquires maintenance system in real time |
CN112849217A (en) * | 2019-11-27 | 2021-05-28 | 中车唐山机车车辆有限公司 | Processing system for abnormal vibration signals of rail train |
CN113391612A (en) * | 2020-03-13 | 2021-09-14 | 株洲中车时代电气股份有限公司 | Fault prediction and health management device and fault prediction method for vehicle transmission control system |
CN111661113A (en) * | 2020-05-26 | 2020-09-15 | 神华新朔铁路有限责任公司 | Operation and maintenance method and system for rail transit vehicle |
CN111824210A (en) * | 2020-07-14 | 2020-10-27 | 中车大连电力牵引研发中心有限公司 | Vehicle-mounted PHM data detection and processing system based on rail transit |
WO2022141623A1 (en) * | 2021-01-04 | 2022-07-07 | 中南大学 | Train compartment vibration monitoring method, vibration signal feature library establishment method and vibration signal feature library application method |
US11988547B2 (en) | 2021-01-04 | 2024-05-21 | Central South University | Train compartment vibration monitoring method and vibration signal feature library establishment and application methods |
CN113297790A (en) * | 2021-05-19 | 2021-08-24 | 哈尔滨工业大学 | High-speed rail response prediction method based on sparse Bayesian width learning |
CN114954587A (en) * | 2022-06-28 | 2022-08-30 | 西安英特迈思信息科技有限公司 | Fault analysis system for running part of railway engineering vehicle |
CN114954587B (en) * | 2022-06-28 | 2024-07-12 | 西安英特迈思信息科技有限公司 | Rail engineering vehicle running part fault analysis system |
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