CN108974041A - A kind of wheel derailment method for early warning, apparatus and system - Google Patents
A kind of wheel derailment method for early warning, apparatus and system Download PDFInfo
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- CN108974041A CN108974041A CN201810570350.XA CN201810570350A CN108974041A CN 108974041 A CN108974041 A CN 108974041A CN 201810570350 A CN201810570350 A CN 201810570350A CN 108974041 A CN108974041 A CN 108974041A
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- 238000004364 calculation method Methods 0.000 claims description 6
- 238000010183 spectrum analysis Methods 0.000 claims description 5
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- 230000035939 shock Effects 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 230000009193 crawling Effects 0.000 description 2
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61F—RAIL VEHICLE SUSPENSIONS, e.g. UNDERFRAMES, BOGIES OR ARRANGEMENTS OF WHEEL AXLES; RAIL VEHICLES FOR USE ON TRACKS OF DIFFERENT WIDTH; PREVENTING DERAILING OF RAIL VEHICLES; WHEEL GUARDS, OBSTRUCTION REMOVERS OR THE LIKE FOR RAIL VEHICLES
- B61F9/00—Rail vehicles characterised by means for preventing derailing, e.g. by use of guide wheels
- B61F9/005—Rail vehicles characterised by means for preventing derailing, e.g. by use of guide wheels by use of non-mechanical means, e.g. acoustic or electromagnetic devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
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Abstract
The invention discloses a kind of wheel derailment method for early warning, include the following steps: the lateral vibration acceleration for obtaining wheel；According to the lateral vibration acceleration, the snakelike frequency resultant of wheel is obtained；According to the lateral vibration acceleration, the lateral amplitude of vibration of wheel is obtained；If the lateral amplitude of vibration is greater than or equal to amplitude preset value and the snakelike frequency resultant is greater than or equal to predetermined frequency value, wheel derailment warning information is exported.Wheel derailment method for early warning provided by the invention only need to obtain single type data i.e. vibration acceleration, can accurately carry out derailing early warning, and whole process is reliable and stable, and the data acquisition facility used is few, at low cost, be easy to apply.
Description
Technical field
The present invention relates to technical field of rail traffic, in particular to a kind of wheel derailment method for early warning, apparatus and system.
Background technique
It is one of accident of most serious that derailment accident, which occurs, for train, and there are many types for the type that train derails, right
There are many factor for causing derailing answered, and specific manifestation when derailing is also different, and the parameter or numerical value of required early warning are also very much,
When abnormal or failure occur in wherein one or more sources of early warning, it is not normal therefore existing to will lead to final early warning result
Early warning recognition methods or system have and greatly fail to report risk, i.e., when there is derailing risk, cannot correctly identify derailment occurring,
It easily leads to train and causes major accident since derailing early warning is not normal.
Therefore, it designs and a kind of be able to achieve high accuracy, reduce the wheel derailment method for early warning failed to report and reported by mistake, device and be
System, is those skilled in the art's urgent problem to be solved.
Summary of the invention
The present invention provides a kind of wheel derailment method for early warning, for solving to exist in existing wheel derailment early warning scheme
Early warning result it is not accurate enough, there is technical issues that fail to report and.
Technical solution provided by the invention is as follows:
A kind of wheel derailment method for early warning, includes the following steps:
Obtain the lateral vibration acceleration of wheel；
According to the lateral vibration acceleration, the snakelike frequency resultant of wheel is obtained；
According to the lateral vibration acceleration, the lateral amplitude of vibration of wheel is obtained；
If the lateral amplitude of vibration is greater than or equal to amplitude preset value and the snakelike frequency resultant is pre- more than or equal to frequency
If value, then export wheel derailment warning information.
Preferably, further includes:
Obtain the Vertical Acceleration of wheel；
According to the Vertical Acceleration, the vertical amplitude of wheel is obtained；
If the vertical amplitude is greater than or equal to amplitude preset value and the snakelike frequency resultant is pre- more than or equal to frequency
If value, then export wheel derailment warning information.
Preferably, after the output wheel derailment warning information, further includes:
Obtain the impact data of wheel；；
If the impact data are greater than impact preset value, wheel derailment warning message is exported.
Preferably, described according to the lateral vibration acceleration, obtain the lateral amplitude of vibration of wheel specifically:
Streaming Double Integral Calculation is carried out to the lateral vibration acceleration, obtains the lateral amplitude of vibration of wheel.
Preferably, described according to the Vertical Acceleration, obtain the vertical amplitude of wheel specifically:
Streaming Double Integral Calculation is carried out to the Vertical Acceleration, obtains the vertical amplitude of wheel.
Preferably, described according to the lateral vibration acceleration, obtain the snakelike frequency resultant of wheel specifically:
Time-domain analysis is carried out to the lateral vibration acceleration, judges whether Time Domain Amplitude is more than preset value；If so, right
The lateral vibration acceleration carries out spectrum analysis, and sets snakelike frequency resultant for the maximum frequency values of spectrum energy.
Preferably, the output wheel derailment warning information specifically:
If the lateral amplitude of vibration is greater than or equal to the amplitude preset value and the snakelike frequency of the transverse direction is greater than or equal to institute
Predetermined frequency value is stated, then the primary internal derailing early warning of record, and probability statistics are carried out according to the internal derailing early warning, obtained general
Rate statistical result；
If the probability statistics result is greater than the probability statistics preset value, wheel derailment warning information is exported.
Preferably, the output wheel derailment warning information specifically:
If the lateral amplitude of vibration is greater than or equal to the amplitude preset value and the snakelike frequency of the transverse direction is greater than or equal to institute
Predetermined frequency value is stated, if or the vertical amplitude is greater than or equal to amplitude preset value and the snakelike frequency resultant is greater than or equal to
Predetermined frequency value then records primary internal derailing early warning, and carries out probability statistics according to the internal derailing early warning, obtains probability
Statistical result；
If the probability statistics result is greater than the probability statistics preset value, wheel derailment warning information is exported.
The present invention also provides a kind of wheel derailment prior-warning devices, comprising:
Data acquisition module, for obtaining the lateral vibration acceleration of wheel；
Data processing module, for obtaining the lateral amplitude of vibration of wheel and the snake of wheel according to the lateral vibration acceleration
Shape frequency resultant；
Message output module, for pre- according to the lateral amplitude of vibration, the snakelike frequency resultant and amplitude preset value, frequency
If value exports wheel condition information；
If the lateral amplitude of vibration is greater than or equal to the amplitude preset value and the snakelike frequency resultant is greater than or equal to institute
Predetermined frequency value is stated, the wheel condition information is wheel derailment warning information.
Preferably, the data acquisition module is also used to obtain the Vertical Acceleration of wheel；
The data processing module is also used to obtain the vertical amplitude of wheel according to the Vertical Acceleration；
The message output module, be also used to according to the vertical amplitude, the snakelike frequency resultant and amplitude preset value,
Predetermined frequency value exports wheel condition information；
If the vertical amplitude is greater than or equal to the amplitude preset value and the snakelike frequency resultant is greater than or equal to institute
Predetermined frequency value is stated, the wheel condition information is wheel derailment warning information.
Preferably, if the wheel condition information is wheel derailment warning information, the data processing module is also used to obtain
Data must be impacted；
If the impact data are greater than impact preset value, the message output module is also used to the wheel condition information
It is updated to wheel derailment warning message.
The present invention also provides a kind of wheel derailment early warning systems, including wheel derailment prior-warning device as described above, also
Include:
Compound sensor for obtaining the lateral vibration acceleration of wheel, and is sent to the data acquisition module.
Preferably, the compound sensor, be also used to obtain wheel the Vertical Acceleration and/or the impact
Data, and it is sent to the data acquisition module.
Wheel derailment method for early warning provided by the present invention obtains corresponding vibration by obtaining the vibration acceleration of wheel
Width data and snakelike frequency, when amplitude data and snakelike frequency are all larger than respective preset value, output wheel derailment early warning letter
Breath.This method need to only obtain single type data i.e. vibration acceleration, according to vibration acceleration calculated amplitude data and snakelike frequency
Rate, and compared with preset value after early warning judgement can be completed, the wheel derailment early warning for reducing train needs the parameter value that detects,
Derailing early warning can be accurately carried out, whole process is reliable and stable, and the data acquisition facility used is few, and it is at low cost, it is easy to answer
With.
Detailed description of the invention
In order to more clearly illustrate the embodiment of the present invention or technical solution in the prior art, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The some embodiments recorded in invention, for those of ordinary skill in the art, without creative efforts,
It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow diagram of wheel derailment method for early warning provided by the embodiment of the present invention；
Fig. 2 is the process signal of the another embodiment of wheel derailment method for early warning provided by the embodiment of the present invention
Figure；
Fig. 3 is the schematic diagram of wheel derailment prior-warning device provided by the embodiment of the present invention；
Fig. 4 is the schematic diagram of wheel derailment early warning system provided by the embodiment of the present invention.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, below in conjunction with of the invention real
The attached drawing in example is applied, technical solution in the embodiment of the present invention is purged, is fully described by, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without making creative work, all should belong to protection of the present invention
Range.
As shown in Figure 1, including the following steps: the embodiment of the invention discloses a kind of wheel derailment method for early warning
S01. the lateral vibration acceleration of wheel is obtained；
S02. according to lateral vibration acceleration, the snakelike frequency resultant of wheel is obtained；
S03. according to lateral vibration acceleration, the lateral amplitude of vibration of wheel is obtained；
If S04. lateral amplitude of vibration is greater than or equal to amplitude preset value and snakelike frequency resultant is greater than or equal to predetermined frequency value,
Then export wheel derailment warning information.
I.e. by obtaining the lateral vibration acceleration of wheel, lateral amplitude of vibration and snakelike frequency resultant are obtained, lateral amplitude of vibration is worked as
More than or equal to amplitude preset value and when snakelike frequency resultant is greater than or equal to predetermined frequency value, then wheel derailment early warning letter is exported
Breath.
Analysis is associated using lateral amplitude of vibration and lateral snakelike frequency, to determine whether derailing early warning is needed to be implemented, it can
Accurately to carry out early warning judgement in several cases to wheel.
Normal rounds and rail in transverse direction there are gap, usually fixed, China railways are about gauge and wheel
Pair relevant criterion are as follows:
Gauge L=wheel is to width Q+ activity W, and wherein gauge L=1435mm, takes turns to width Q=1354mm, wheel rim standard
Thickness W1=34mm, wheel rim minimum thickness W2=23mm.
Then, it can be calculated: standard lateral interval M1=(1435-1354)/2-34=6.5mm, maximum transversal interval
M2=(1435-1354)/2-23=17.5mm.
If setting amplitude preset value is 17.5mm, i.e., when lateral amplitude of vibration is more than 17.5mm, for theoretical, being can be reasonable
It is normal to issue derailing early warning, but this judgment mode for only relying on lateral amplitude of vibration, exist and greatly reports and fail to report risk by mistake.
For example, train driving, in corner, wheel is moved with the running track of train, and lateral amplitude of vibration at this time has super
The case where crossing amplitude preset value, can trigger early-warning conditions, export wheel derailment warning information, but in fact, train and vehicle at this time
Wheel is normal condition, no derailing risk causes wrong report.
For another example, the thickness of wheel rim takes turns edge value due to wear factor, is constantly becoming smaller, for newly taking turns and old wheel, unified use
17.5mm is clearly improper, but accurately wheel edge value can not be obtained in real time daily, even if amplitude preset value is changed to most
The wheel edge value of nearly one-shot measurement, and combine and convert obtained permission lateral amplitude of vibration interval, it can not also carry out accurately derailing pre-
It is alert, it easily causes and fails to report.
And swing of crawling is the inherent characteristic of wheel rail system, i.e., at runtime, left and right reciprocally swinging can occur train for wheel,
This swing is normal presence, but its corresponding snakelike frequency is lower, such as subway is generally 1Hz or so, high-speed rail one
As be lower than 7Hz.If frequency of crawling is excessive, just there is the risk derailed, but if there is no biggish lateral amplitude of vibration, then
Illustrate that current snake swing can not also make wheel rim have the risk to de-orbit, is wrong report at this time if directly issuing early warning.
Only when lateral amplitude of vibration and snakelike frequency resultant result are simultaneously greater than or are equal to respective preset value, just carry out pre-
Alert operation, i.e. only snake frequency are greater than or equal to predetermined frequency value, have generation snake frequency to reach unstability or resonant frequency wind
The situation of danger, while there is lateral amplitude of vibration more than or equal to amplitude preset value, just show there is derailing risk really, then needs externally
Then export wheel derailment warning information.
In the present embodiment, when the corresponding vehicle of wheel is railcar, laterally the predetermined frequency value of snakelike frequency is
1Hz, predetermined frequency value when being high-speed rail vehicle is 7Hz.And the amplitude preset value of lateral amplitude of vibration can select according to the actual situation
Different threshold values, such as 17.5mm can be used.
Above-mentioned wheel derailment method for early warning only need to obtain single type data i.e. lateral vibration acceleration, according to transverse-vibration
Dynamic acceleration calculation lateral amplitude of vibration data and snakelike frequency resultant, and compared with respective preset value after early warning can be completed sentence
It is disconnected, derailing early warning can be accurately carried out, whole process is reliable and stable, and the data acquisition facility used is few, and it is at low cost, it is easy to
Using.
In practice, since lateral vibration acceleration is crucial and uniquely obtains data, set in order to avoid obtaining
The failure of standby or acquiring way or failure cause data acquisition to fail, and can be added when obtaining the lateral vibration acceleration of wheel
Detecting step judges whether lateral vibration acceleration is normal, there are many kinds of modes whether judgement is normal, such as mountable three
Coordinate sensor, while lateral, vertical and travelling-crane method vibration acceleration is acquired, with vertical and direction of traffic signal point
Analysis, it is whether normal to prove lateral vibration acceleration, for another example, increase specific disorder data recognition algorithm, normal transverse-vibration
Dynamic acceleration should be approximate random or have periodically, if signal present multiple ladder-like or signal value be less than some or
More than some thresholding, then there may be sensor abnormalities.
As shown in Fig. 2, in a kind of preferred embodiment of the present embodiment, further includes:
S05. the Vertical Acceleration of wheel is obtained；
S06. according to Vertical Acceleration, the vertical amplitude of wheel is obtained；
If S07. vertical amplitude is greater than or equal to amplitude preset value and snakelike frequency resultant is greater than or equal to predetermined frequency value,
Then export wheel derailment warning information.
It fails to report and reports by mistake to be further reduced, while obtaining lateral vibration acceleration, can also be hung down by obtaining
The vertical amplitude of wheel is obtained to vibration acceleration, then using vertical amplitude as another early-warning parameters value, in conjunction with snakelike frequency
Rate then exports wheel derailment warning information as a result, when being both greater than respective preset value.
In a kind of preferred embodiment of the present embodiment, after exporting wheel derailment warning information, further includes:
S08. the impact data of wheel are obtained；
If S09. impact data are greater than impact preset value, wheel derailment warning message is exported.
When having occurred and that early warning operation, it is possible to have the risk derailed, whether in order to further determine wheel
Derailing is actually occurred, impacts data by obtaining, and judges to impact whether data are more than impact preset value, impact herein is pre-
If value can be impact strength thresholding, if it is, showing to have occurred and that derailing, wheel derailment warning message is exported, this is because
Wheel can generally fall first after derailing hits sleeper, spring or ground, since wheel is metal, the impact of this shock
Power is huge, if transducer range is arranged it is larger, such as 100000sv, when the impact data detected are more than certain door
Limit, such as 60000sv then can be shown that huge shock occurs for wheel, and this shock can only be derailing, because of the event of wheel other component
Barrier on barrier or track, is not up to this impact strength, further, since also detecting lateral amplitude of vibration or vertical amplitude
Exceeded (early warning scheme) can then further determine that derailing is true.
Output wheel derailment warning information or the display mode of wheel derailment warning message have very much, such as unlatching warning light,
Prompt tone etc. is issued, those skilled in the art can select according to practical application situation, herein without specifically limiting
It is fixed.
In a kind of preferred embodiment of the present embodiment, step S03 specifically:
Streaming Double Integral Calculation is carried out to lateral vibration acceleration, obtains the lateral amplitude of vibration of wheel.
In practice, integrate using from lateral vibration acceleration to the quadratic integral of lateral amplitude of vibration, acceleration a and position
It moves x and meets calculous relation: x (t)=∫ ∫ a (t) dt, common to handle there are two types of integral means, time-domain integration and Frequency Domain Integration,
Selection handles above-mentioned quadratic integral using Frequency Domain Integration in the present embodiment, it is of course also possible to which selection uses according to other needs
The mode of time-domain integration.
Similar, step S06 specifically:
Streaming Double Integral Calculation is carried out to Vertical Acceleration, obtains the vertical amplitude of wheel.Vertical vibration is accelerated
The processing mode of degree, it is identical as the processing mode of lateral vibration acceleration, it is not repeated herein.
In a kind of preferred embodiment of the present embodiment, step S02 specifically:
Time-domain analysis is carried out to lateral vibration acceleration, judges whether Time Domain Amplitude is more than preset value；If so, to transverse direction
Vibration acceleration carries out spectrum analysis, and sets snakelike frequency resultant for the maximum frequency values of spectrum energy.
Time-domain analysis first is carried out to the lateral vibration acceleration, judges whether Time Domain Amplitude has more than preset value, this is
Because under normal circumstances, lateral vibration acceleration value is smaller, in order to improve efficiency, computing resource is saved, first signal is carried out
Preliminary identification, only when signal strength reaches certain requirement, just progress spectrum analysis, spectrum analysis said herein are generally referred to
Envelope Analysis, because directly analyzing transverse acceleration, due to the presence of external interference or noise, wherein necessarily having very much
Radio-frequency component, this is unrelated with snake, and this snake normally behaves as amplitude modulation phenomenon, i.e., progress Envelope Analysis, effect are brighter
It is aobvious.
In a kind of preferred embodiment of the present embodiment, wheel derailment warning information is exported specifically:
If lateral amplitude of vibration is greater than or equal to amplitude preset value and laterally snakelike frequency is greater than or equal to predetermined frequency value, remember
The primary internal derailing early warning of record, and probability statistics are carried out according to internal derailing early warning, obtain probability statistics result；
If probability statistics result is greater than probability statistics preset value, wheel derailment warning information is exported.
Primary derailing risk can't be exported externally immediately, it is also necessary to probability statistics be carried out, although for example, having occurred larger
Lateral amplitude of vibration then show risk of not derailing but if subsequent time lateral amplitude of vibration is restored to normal condition.
For causing a certain moment lateral displacement to be more than preset value because of extraneous factor, and normally transported in subsequent time train
Row such case, there is no need to execute early warning operation because of variation once in a while, therefore can be by a certain moment, lateral amplitude of vibration is greater than
Or it is equal to amplitude preset value and lateral snakelike frequency more than or equal to predetermined frequency value, it is recorded as once internal derailing early warning, root
Probability statistics are carried out according to the number for internal derailing early warning occur then to illustrate not when probability statistics result reaches some critical value
It is that accidental extraneous factor leads to internal derailing early warning, the risk but train objective reality is derailed.
It is similar, equally can refer to the judgment rule of lateral amplitude of vibration to the judgement of vertical amplitude, if vertical amplitude be greater than or
Equal to amplitude preset value and snakelike frequency resultant is greater than or equal to predetermined frequency value, then the primary internal derailing early warning of record, and root
Probability statistics are carried out according to internal derailing early warning, obtain probability statistics result；If probability statistics result is greater than probability statistics preset value,
Then export wheel derailment warning information.
It is understood that similar above-mentioned statistical have much count and issue the probability that internal derailing is alarmed, sentence
Whether disconnected probability is more than some preset value: also may determine that send within a preset time internal derailing alarm number whether be more than
Some preset value: it also can decide whether to continuously receive derailing alarm etc. inside preset quantity, herein not to specific reality
The mode of applying carries out definitions relevant, as long as can be avoided the one-sidedness bring wrong report of single alarm mode.
As shown in figure 3, the present embodiment also discloses a kind of wheel derailment prior-warning device, comprising:
Data acquisition module 1, for obtaining the lateral vibration acceleration of wheel；
Data processing module 2, for obtaining the lateral amplitude of vibration of wheel and the snakelike frequency of wheel according to lateral vibration acceleration
Rate result；
Message output module 3, it is defeated for foundation lateral amplitude of vibration, snakelike frequency resultant and amplitude preset value, predetermined frequency value
Wheel condition information out；
If lateral amplitude of vibration is greater than or equal to amplitude preset value and snakelike frequency resultant is greater than or equal to predetermined frequency value, wheel
Status information is wheel derailment warning information.
Data acquisition module 1 obtains the lateral vibration acceleration of wheel, and the lateral vibration acceleration that will acquire is sent to
Data processing module 2 handles lateral vibration acceleration or is counted after data processing module 2 receives lateral vibration acceleration
It calculates, obtains the lateral amplitude of vibration of wheel and the snakelike frequency resultant of wheel, and lateral amplitude of vibration and snakelike frequency resultant are sent to letter
Cease output module 3, after message output module 3 receives lateral vibration acceleration and snakelike frequency resultant, by the two respectively with amplitude
Preset value, predetermined frequency value compare.
If lateral amplitude of vibration is greater than or equal to amplitude preset value and snakelike frequency resultant is greater than or equal to predetermined frequency value, information
Output module 3 exports wheel derailment warning information.
In one of embodiment of the wheel derailment prior-warning device of the present embodiment, data acquisition module 1 is also used to obtain
The Vertical Acceleration of pick-up wheel；
Data processing module 2 is also used to obtain the vertical amplitude of wheel according to Vertical Acceleration；
Message output module 3 is also used to according to vertical amplitude, snakelike frequency resultant and amplitude preset value, predetermined frequency value,
Export wheel condition information；
If vertical amplitude is greater than or equal to amplitude preset value and snakelike frequency resultant is greater than or equal to predetermined frequency value, wheel
Status information is wheel derailment warning information.
Data acquisition module 1 obtains the Vertical Acceleration of wheel, and the Vertical Acceleration that will acquire is sent to
Data processing module 2 handles Vertical Acceleration or is counted after data processing module 2 receives Vertical Acceleration
It calculates, obtains the vertical amplitude of wheel, and vertical amplitude is sent to message output module 3, message output module 3 receives vertical vibration
Dynamic acceleration, and snakelike frequency resultant is combined, by the two respectively compared with amplitude preset value, predetermined frequency value.
If vertical amplitude is greater than or equal to amplitude preset value and snakelike frequency resultant is greater than or equal to predetermined frequency value, information
Output module 3 exports wheel derailment warning information.
In one of embodiment of the wheel derailment prior-warning device of the present embodiment, if wheel condition information is de- for wheel
Rail warning information, data processing module 2 are also used to obtain impact data；
If impacting data is greater than impact preset value, message output module 3 is also used to wheel condition information update be wheel
Derail warning message.
After data processing module 2 obtains impact data, impact data are sent to message output module 3, information exports mould
Block 3, which receives, to be impacted after data by it compared with impacting preset value, if impact data are greater than impact preset value, message output module 3
By wheel condition information, wheel derailment warning message is updated to by wheel derailment warning information.
As shown in figure 4, the present embodiment also discloses a kind of wheel derailment early warning system, including above-mentioned wheel derailment early warning
Device further includes compound sensor 4, for obtaining the lateral vibration acceleration of wheel, and is sent to data acquisition module 3.
Compound sensor 4 may be mounted at other positions under the springs such as framework, gear-box, certainly, in order to obtain optimal effect
Compound sensor 4 can be mounted on bearings at both ends seat by fruit.
In one of embodiment of the wheel derailment early warning system of the present embodiment, compound sensor 4 is also used to obtain
The Vertical Acceleration and/or impact data of wheel, and it is sent to data acquisition module 3, with above-mentioned wheel derailment early warning
Each embodiment of device respectively corresponds.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of wheel derailment method for early warning, which comprises the steps of:
Obtain the lateral vibration acceleration of wheel；
According to the lateral vibration acceleration, the snakelike frequency resultant of wheel is obtained；
According to the lateral vibration acceleration, the lateral amplitude of vibration of wheel is obtained；
If the lateral amplitude of vibration is greater than or equal to amplitude preset value and the snakelike frequency resultant is greater than or equal to predetermined frequency value,
Then export wheel derailment warning information.
2. wheel derailment method for early warning according to claim 1, which is characterized in that further include:
Obtain the Vertical Acceleration of wheel；
According to the Vertical Acceleration, the vertical amplitude of wheel is obtained；
If the vertical amplitude is greater than or equal to amplitude preset value and the snakelike frequency resultant is greater than or equal to predetermined frequency value,
Then export wheel derailment warning information.
3. wheel derailment method for early warning according to claim 1 or 2, which is characterized in that pre- in the output wheel derailment
After alert information, further includes:
Obtain the impact data of wheel；
If the impact data are greater than impact preset value, wheel derailment warning message is exported.
4. wheel derailment method for early warning according to claim 1, which is characterized in that described to accelerate according to the oscillation crosswise
Degree, obtains the lateral amplitude of vibration of wheel specifically:
Streaming Double Integral Calculation is carried out to the lateral vibration acceleration, obtains the lateral amplitude of vibration of wheel.
5. wheel derailment method for early warning according to claim 1, which is characterized in that described to accelerate according to the oscillation crosswise
Degree, obtains the snakelike frequency resultant of wheel specifically:
Time-domain analysis is carried out to the lateral vibration acceleration, judges whether Time Domain Amplitude is more than preset value；If so, to described
Lateral vibration acceleration carries out spectrum analysis, and sets snakelike frequency resultant for the maximum frequency values of spectrum energy.
6. wheel derailment method for early warning according to claim 1, which is characterized in that the output wheel derailment warning information
Specifically:
If the lateral amplitude of vibration is greater than or equal to the amplitude preset value and the snakelike frequency of the transverse direction is greater than or equal to the frequency
Rate preset value then records primary internal derailing early warning, and carries out probability statistics according to the internal derailing early warning, obtains probability and unites
Count result；
If the probability statistics result is greater than the probability statistics preset value, wheel derailment warning information is exported.
7. a kind of wheel derailment prior-warning device characterized by comprising
Data acquisition module, for obtaining the lateral vibration acceleration of wheel；
Data processing module, for obtaining the lateral amplitude of vibration of wheel and the snakelike frequency of wheel according to the lateral vibration acceleration
Rate result；
Message output module, for according to the lateral amplitude of vibration, the snakelike frequency resultant and amplitude preset value, predetermined frequency
Value exports wheel condition information；
If the lateral amplitude of vibration is greater than or equal to the amplitude preset value and the snakelike frequency resultant is greater than or equal to the frequency
Rate preset value, the wheel condition information are wheel derailment warning information.
8. wheel derailment prior-warning device according to claim 7, it is characterised in that:
The data acquisition module is also used to obtain the Vertical Acceleration of wheel；
The data processing module is also used to obtain the vertical amplitude of wheel according to the Vertical Acceleration；
The message output module is also used to according to the vertical amplitude, the snakelike frequency resultant and amplitude preset value, frequency
Preset value exports wheel condition information；
If the vertical amplitude is greater than or equal to the amplitude preset value and the snakelike frequency resultant is greater than or equal to the frequency
Rate preset value, the wheel condition information are wheel derailment warning information.
9. wheel derailment prior-warning device according to claim 7 or 8, it is characterised in that:
If the wheel condition information is wheel derailment warning information, the data processing module is also used to obtain impact data；
If the impact data are greater than impact preset value, the message output module is also used to the wheel condition information update
For wheel derailment warning message.
10. a kind of wheel derailment early warning system, including wheel derailment prior-warning device as claimed in claim 7, which is characterized in that
Further include:
Compound sensor, for obtain wheel the lateral vibration acceleration and/or the impact data, and be sent to described
Data acquisition module.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110304114A (en) * | 2019-06-19 | 2019-10-08 | 中国铁道科学研究院集团有限公司 | A kind of method and device for judging the safety of bullet train dynamic derailment |
| CN113727211A (en) * | 2021-08-19 | 2021-11-30 | 广州小鹏汽车科技有限公司 | Data processing method, device, server and system |
| FR3116037A1 (en) * | 2020-11-10 | 2022-05-13 | Alstom Transport Technologies | Railway vehicle derailment detection device |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS59221711A (en) * | 1983-05-31 | 1984-12-13 | Shin Kobe Electric Mach Co Ltd | Derailment preventing device for unmanned truck |
| DE19953677C1 (en) * | 1999-11-09 | 2001-06-21 | Deutsche Bahn Ag | Rail vehicle derailment detection method, uses detection of acceleration of rail vehicle component in vertical or transverse direction relative to rail track |
| CN1724300A (en) * | 2005-07-22 | 2006-01-25 | 唐山百川智能机器有限公司 | Alarming system for derailed of train |
| WO2007009132A2 (en) * | 2005-07-18 | 2007-01-25 | Hottinger Baldwin Messtechnik Gmbh | Method and device for determining the risk of derailment of railway vehicles |
| EP1812274A1 (en) * | 2004-10-19 | 2007-08-01 | ÖBB-Infrastruktur Bau Aktiengesellschaft | Device for displaying the derailment state of at least one wheel of a rail-guided vehicle |
| CN102350996A (en) * | 2011-07-22 | 2012-02-15 | 西南交通大学 | Ground monitoring method for dangerous condition in heavy-load train operation |
| CN103847761A (en) * | 2012-11-30 | 2014-06-11 | 建维科技（深圳）有限公司 | System and method for monitoring cracks and damage of rail in real time |
| CN105292177A (en) * | 2015-11-26 | 2016-02-03 | 唐智科技湖南发展有限公司 | Method for measuring track corrugation by utilizing axle box vibration and impact information |
| EP3006301A1 (en) * | 2013-05-29 | 2016-04-13 | Akebono Brake Industry Co., Ltd. | Derailment sign detection system, control device, derailment sign detection method, and derailment sign detection program |
| CN107521511A (en) * | 2017-08-18 | 2017-12-29 | 唐智科技湖南发展有限公司 | A kind of method and system of wheel derailment alarm |
| CN107966307A (en) * | 2017-12-14 | 2018-04-27 | 常州路航轨道交通科技有限公司 | A kind of train operating safety on-line monitoring method based on vibration acceleration |
-
2018
- 2018-06-05 CN CN201810570350.XA patent/CN108974041B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS59221711A (en) * | 1983-05-31 | 1984-12-13 | Shin Kobe Electric Mach Co Ltd | Derailment preventing device for unmanned truck |
| DE19953677C1 (en) * | 1999-11-09 | 2001-06-21 | Deutsche Bahn Ag | Rail vehicle derailment detection method, uses detection of acceleration of rail vehicle component in vertical or transverse direction relative to rail track |
| EP1812274A1 (en) * | 2004-10-19 | 2007-08-01 | ÖBB-Infrastruktur Bau Aktiengesellschaft | Device for displaying the derailment state of at least one wheel of a rail-guided vehicle |
| WO2007009132A2 (en) * | 2005-07-18 | 2007-01-25 | Hottinger Baldwin Messtechnik Gmbh | Method and device for determining the risk of derailment of railway vehicles |
| CN1724300A (en) * | 2005-07-22 | 2006-01-25 | 唐山百川智能机器有限公司 | Alarming system for derailed of train |
| CN102350996A (en) * | 2011-07-22 | 2012-02-15 | 西南交通大学 | Ground monitoring method for dangerous condition in heavy-load train operation |
| CN103847761A (en) * | 2012-11-30 | 2014-06-11 | 建维科技（深圳）有限公司 | System and method for monitoring cracks and damage of rail in real time |
| EP3006301A1 (en) * | 2013-05-29 | 2016-04-13 | Akebono Brake Industry Co., Ltd. | Derailment sign detection system, control device, derailment sign detection method, and derailment sign detection program |
| CN105292177A (en) * | 2015-11-26 | 2016-02-03 | 唐智科技湖南发展有限公司 | Method for measuring track corrugation by utilizing axle box vibration and impact information |
| CN107521511A (en) * | 2017-08-18 | 2017-12-29 | 唐智科技湖南发展有限公司 | A kind of method and system of wheel derailment alarm |
| CN107966307A (en) * | 2017-12-14 | 2018-04-27 | 常州路航轨道交通科技有限公司 | A kind of train operating safety on-line monitoring method based on vibration acceleration |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110304114A (en) * | 2019-06-19 | 2019-10-08 | 中国铁道科学研究院集团有限公司 | A kind of method and device for judging the safety of bullet train dynamic derailment |
| FR3116037A1 (en) * | 2020-11-10 | 2022-05-13 | Alstom Transport Technologies | Railway vehicle derailment detection device |
| CN113727211A (en) * | 2021-08-19 | 2021-11-30 | 广州小鹏汽车科技有限公司 | Data processing method, device, server and system |
| CN113727211B (en) * | 2021-08-19 | 2023-09-12 | 广州小鹏汽车科技有限公司 | Data processing method, device, server and system |
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|---|---|
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