CN105277622B - A kind of Railway wheelset method for detection fault detection and device - Google Patents
A kind of Railway wheelset method for detection fault detection and device Download PDFInfo
- Publication number
- CN105277622B CN105277622B CN201510867386.0A CN201510867386A CN105277622B CN 105277622 B CN105277622 B CN 105277622B CN 201510867386 A CN201510867386 A CN 201510867386A CN 105277622 B CN105277622 B CN 105277622B
- Authority
- CN
- China
- Prior art keywords
- data
- flaw detection
- railway wheelset
- information
- waveform
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
This application provides a kind of Railway wheelset method for detection fault detection and device, by the data profile information that Railway wheelset is extracted from the flaw detection data after encapsulation, and the data profile information is parsed, the reflex amplitude for obtaining Railway wheelset is not less than the back wave of first threshold as initial imperfection waveform, afterwards, the initial imperfection waveform obtained by filtering out carrying out flaw detection part working properly from the initial imperfection waveform is used as target defect waveform, so as to reject because carrying out flaw detection unit exception causes the too high initial imperfection waveform of Railway wheelset reflex amplitude, ensure the incidence relation based on back wave Yu Railway wheelset information, Railway wheelset position corresponding to the target defect waveform obtained is real defective locations.It can be seen that the present invention realizes the analysis to online high speed acquisition and the flaw detection data encapsulated, Railway wheelset defective locations are judged in time and exactly, so as to ensure that the security reliability of train operation.
Description
Technical field
The present invention relates to wheel to carrying out flaw detection technical field, more particularly to a kind of Railway wheelset carrying out flaw detection side
Method and device.
Background technology
In recent years, with the fast development of China's economy, railroad train speed also steps up therewith, suffered by Railway wheelset
To impact also increase therewith, and Railway wheelset can normal work be to jeopardize one of major hidden danger of safety of railway traffic, institute
So that the safety detection of Railway wheelset becomes a link important in railway detection.
At present, railway department realizes Wheel set detecting commonly using non-destructive testing technology, mainly by the Non-Destructive Testing skill
Art is applied to wheel in flaw detection, solving real-time test problems of the wheel to defect.Nondestructive inspection detection method is as nowadays using most wide
General non-destructive testing technology, it launches ultrasonic wave by transmitting probe to detected pieces, then anti-from interface by receiving transducer reception
It is emitted back towards the ultrasonic wave come or passes through the transmitted wave after detected pieces, detects spare part part accordingly and whether there is defect.
However, it has been found that existing Railway wheelset method for detection fault detection be typically train need maintenance when, just meeting
The detection to train is completed using ultrasonic examination detection means, there is certain hysteresis quality, can not timely and accurately judge to arrange
Wheel to the defects of, and then have impact on the security reliability of train operation.
The content of the invention
In view of this, the invention provides a kind of Railway wheelset method for detection fault detection and device, realize to online high speed
The analysis for the flaw detection data for gathering and encapsulating, Railway wheelset defective locations are judged in time and exactly, so as to ensure that train is transported
Capable security reliability.
To achieve these goals, this application provides following technical scheme：
A kind of Railway wheelset method for detection fault detection, methods described include：
From the flaw detection data after the encapsulation of acquisition extract Railway wheelset data profile information, the flaw detection data be
Detect that Railway wheelset passes through what is obtained during flaw detection equipment；
The data profile information is parsed, the reflex amplitude for obtaining the Railway wheelset is not less than first threshold
Back wave as initial imperfection waveform；
The initial imperfection waveform of carrying out flaw detection part acquisition working properly is filtered out as target defect waveform, the spy
Hinder detection part and belong to the flaw detection equipment；
Incidence relation based on the flaw detection data reflected waves after the encapsulation Yu Railway wheelset information, obtain and the mesh
Mark Railway wheelset defective locations corresponding to defective waveform.
Preferably, before the data profile information that Railway wheelset is extracted in the flaw detection data after the encapsulation from acquisition, institute
Stating method also includes：
When detecting that Railway wheelset passes through flaw detection equipment, the flaw detection data of the Railway wheelset is obtained；
According to default classifying rules, the flaw detection data is saved as into multiple single data files；
Based on the relation between the multiple individually data file, the flaw detection data is packaged.
Preferably, when the flaw detection data includes：Velocity information, triggering information, grouping information, ultrasonic probe layout letter
When breath and ultrasound data, the relation based between the multiple individually data file, the flaw detection data is carried out
Encapsulation includes：
Obtain the information of vehicles of each train in the grouping information；
Based on the ultrasonic probe layout information and the information of vehicles, data of each wheel to flaw detection data are established
Storage file；
According to the triggering information and the velocity information, every ultrasonic probe in the flaw detection equipment is calculated
Gather the first quantity of ultrasound data；
Based on first quantity and the ultrasonic probe layout information, from the ultrasound data of each wheel pair successively
Extraction the first ultrasound data corresponding with every ultrasonic probe；
Screening meets that at least three A total numbers of the first preset requirement are corresponding according to being saved in from first ultrasound data
Data storage file, until when the A total numbers evidence in the data storage file reaches the first predetermined number, by the data storage
File is as the flaw detection data file storage after encapsulation.
Preferably, methods described also includes：
Based on the target defect waveform filtered out, the defects of current defect of the Railway wheelset defective locations is affiliated is judged
Rank；
When rank shows that the reflex amplitude of the Railway wheelset is not less than first threshold when judged the defects of, phase is exported
The warning message answered.
Preferably, methods described also includes：
Based on the flaw detection data after the encapsulation and the Railway wheelset defective locations, output train wheel is to defect report
Accuse.
Preferably, after Railway wheelset defective locations corresponding with the target defect waveform are obtained, methods described is also
Including：
Output includes the prompt message of the Railway wheelset defective locations.
A kind of Railway wheelset carrying out flaw detection device, described device include：
Extraction module, for extracting the data profile information of Railway wheelset, institute from the flaw detection data after the encapsulation of acquisition
Flaw detection data is stated to obtain when detecting that Railway wheelset passes through flaw detection equipment；
Parsing module, for being parsed to the data profile information, obtain the reflex amplitude of the Railway wheelset
Not less than first threshold back wave as initial imperfection waveform；
Screening module, lacked for filtering out the initial imperfection waveform that carrying out flaw detection part working properly obtains as target
Trap shape, the carrying out flaw detection part belong to the flaw detection equipment；
Defective locations acquisition module, for based on the flaw detection data reflected waves after the encapsulation and Railway wheelset information
Incidence relation, obtain Railway wheelset defective locations corresponding with the target defect waveform.
Preferably, described device also includes：
Detection module, during for detecting that Railway wheelset passes through flaw detection equipment, obtain the flaw detection of the Railway wheelset
Data；
Memory module, for according to default classifying rules, the flaw detection data to be saved as into multiple single data files；
Package module, for based on the relation between the multiple individually data file, being carried out to the flaw detection data
Encapsulation.
Preferably, when the flaw detection data includes：Velocity information, triggering information, grouping information, ultrasonic probe layout letter
When breath and ultrasound data, the packaging system includes：
Acquiring unit, for obtaining the information of vehicles of each train in the grouping information；
Construction unit, for based on the ultrasonic probe layout information and the information of vehicles, establishing each wheel pair
The data storage file of flaw detection data；
Computing unit, for according to the triggering information and the velocity information, calculating in the flaw detection equipment
First quantity of every ultrasonic probe collection ultrasound data；
Extraction unit, for based on first quantity and the ultrasonic probe layout information, from each wheel pair
The first ultrasound data corresponding with every ultrasonic probe is extracted in ultrasound data successively；
Memory cell, at least three A total numbers for the first preset requirement of screening satisfaction from first ultrasound data
According to being saved in corresponding data storage file, until the A total numbers in the data storage file are according to when reaching the first predetermined number,
Stored the data storage file as the flaw detection data file after encapsulation.
Preferably, described device also includes：
Determination module, for based on the target defect waveform filtered out, judging the current of the Railway wheelset defective locations
The defects of defect is affiliated rank；
Alarm module, show that the reflex amplitude of the Railway wheelset is not less than first for working as the defects of judging rank
During threshold value, corresponding warning message is exported.
As can be seen here, compared with prior art, this application provides a kind of Railway wheelset method for detection fault detection and device,
When detecting that Railway wheelset passes through flaw detection equipment, the flaw detection data of the Railway wheelset is obtained, and according to certain rule to it
It is packaged, when it needs to be determined that during Railway wheelset defective locations, the data of Railway wheelset are extracted from the flaw detection data after encapsulation
Profile information, by being parsed to the data profile information, the reflex amplitude for obtaining Railway wheelset is not less than first threshold
Back wave as initial imperfection waveform, afterwards, by filtering out carrying out flaw detection working properly from the initial imperfection waveform
The initial imperfection waveform that part obtains is as target defect waveform, so as to reject because carrying out flaw detection unit exception causes Railway wheelset
The too high initial imperfection waveform of reflex amplitude, ensures the incidence relation based on back wave Yu Railway wheelset information, and acquisition is somebody's turn to do
Railway wheelset position corresponding to target defect waveform is real defective locations.As can be seen here, the present invention is realized to online high
The analysis for the flaw detection data that speed is gathered and encapsulated, Railway wheelset defective locations are judged in time and exactly, so as to ensure that train
The security reliability of operation.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of Railway wheelset method for detection fault detection embodiment provided by the invention；
Fig. 2 is the part schematic flow sheet of another Railway wheelset method for detection fault detection embodiment provided by the invention；
Fig. 3 is the part schematic flow sheet of another Railway wheelset method for detection fault detection embodiment provided by the invention；
Fig. 4 is a kind of structural representation of Railway wheelset carrying out flaw detection device embodiment provided by the invention；
Fig. 5 is the part-structure schematic diagram of another Railway wheelset carrying out flaw detection device embodiment provided by the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
This application provides a kind of Railway wheelset method for detection fault detection and device, detecting that Railway wheelset passes through inspection of detecting a flaw
During measurement equipment, the flaw detection data of the Railway wheelset is obtained, and it is packaged according to certain rule, when it needs to be determined that Train Wheel
During to defective locations, the data profile information of Railway wheelset is extracted from the flaw detection data after encapsulation, by the data collection of illustrative plates
Information is parsed, and obtains the back wave of the reflex amplitude of Railway wheelset not less than first threshold as initial imperfection waveform,
Afterwards, the initial imperfection waveform obtained by filtering out carrying out flaw detection part working properly from the initial imperfection waveform is used as
Target defect waveform, so as to reject because carrying out flaw detection unit exception causes the too high initial imperfection ripple of Railway wheelset reflex amplitude
Shape, ensure the incidence relation based on back wave Yu Railway wheelset information, Railway wheelset corresponding to the target defect waveform of acquisition
Position is real defective locations.As can be seen here, the present invention realizes point to online high speed acquisition and the flaw detection data encapsulated
Analysis, Railway wheelset defective locations are judged in time and exactly, so as to ensure that the security reliability of train operation.
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is further detailed explanation.
A kind of schematic flow sheet of Railway wheelset method for detection fault detection embodiment provided by the invention shown in reference picture 1,
This method specifically may comprise steps of：
Step S110：The data profile information of Railway wheelset is extracted from the flaw detection data after the encapsulation of acquisition.
Wherein, the flaw detection data obtains when detecting that Railway wheelset passes through flaw detection equipment, the carrying out flaw detection
Equipment can be specifically ultrasonic examination detection device, and its concrete composition structure can refer to existing ultrasonic examination detection and set
Standby, the present embodiment will not be described in detail herein.
It has been found that because the present embodiment uses ultrasonic examination detection technique, ultrasonic probe transmitting terminal to
After Railway wheelset transmitting ultrasonic wave, if the Railway wheelset existing defects, the Train Wheel that the ultrasonic probe receiving terminal receives
To back wave exception occurs, thus, the present embodiment will pass through the datagram to Railway wheelset in the flaw detection data after encapsulation
Spectrum information is analyzed, and to judge that the Railway wheelset whether there is defect, specific decision process can refer to below step.
Optionally, before the present embodiment step S110, as shown in Fig. 2 the detection method can also include：
Step S111：When detecting that Railway wheelset passes through flaw detection equipment, the flaw detection data of the Railway wheelset is obtained.
The present embodiment by running train wheel to monitoring in real time, to find running train wheel to defect and timely in time
Processing, so as to ensure train safe and reliable operation.
Wherein, the flaw detection data can include：Velocity information, triggering information, grouping information, ultrasonic probe layout information
And ultrasound data etc., the present embodiment are not especially limited to this.
In addition, it is necessary to explanation, on the online high speed acquisition to Railway wheelset flaw detection data, it will usually in once mistake
After car terminates, it will be packaged, so as to avoid the accumulation of gathered data, ensure that the ultrasonic detection device is working properly
Carry out in order, specific packaged type is as follows, and on ultrasonic detecting equipment to the collecting method of crossed train with it is existing
Ultrasonic detection technology is similar in technology, and those skilled in the art can suitably be adjusted according to being actually needed, specific method mistake
Journey the present embodiment will not be described in detail herein.
Step S112：According to default classifying rules, the flaw detection data is saved as into multiple single data files.
Understand that the flaw detection data includes multiple types of data based on above-mentioned analysis, thus, subsequently transfer for convenience required
Categorical data, improve data-handling efficiency, the present embodiment by the flaw detection data of acquisition according to default classifying rules, it is more by being divided into
Individual individually data file is preserved temporarily, wherein, each data file only includes a kind of categorical data.
For example, for the above-mentioned concentration flaw detection data provided, the velocity information for crossing train of acquisition can specifically be deposited
Store up as the first data file, by the triggering information of acquisition (the data acquiring frequency information of such as ultrasonic probe, but do not limit to
In this) it is temporarily saved as the second data file；Will obtain grouping information (such as train model, compartment number, wheel logarithm, storage end position,
The information such as wheel diameter, but be not limited thereto) it is temporarily saved as the 3rd data file；The ultrasonic probe of acquisition is laid out letter
Breath (i.e. position relationship of the ultrasonic probe on rail be spacing distance, every ultrasonic probe according to collection wheel to different positions
Acquisition angles put and set etc., but be not limited thereto) it is temporarily saved as the 4th data file；It is each by what is collected
Individual wheel pair ultrasound data (take turns to appearance profile and inner side away from, thread defect, wheel out of round degree etc., but be not limited to
This, it can determine that the present embodiment will not enumerate herein according to the flaw detection data being actually needed) it is temporarily saved as the 5th data
File.
Optionally, according to being actually needed, interval division can also be carried out to train running speed in advance, is advised according to the division
Then, the velocity information for belonging to same speed interval is temporarily saved as a data file；And the ultrasound data of each wheel pair
A data file can individually be saved as.It should be noted that interim preservation of the present invention to flaw detection data is not limited to
The mode of record is stated, creative work determination is paid so long as not those skilled in the art, belongs to the scope of the present invention.
In addition, on the above-mentioned data file individually preserved, the envelope to once crossing the flaw detection data that car collects is completed
It after dress, can directly delete, so as to reduce its occupancy to system resource, and avoid data file accumulation to detection means work
The influence of work.
Step S113：Based on the relation between the multiple individually data file, the flaw detection data is packaged.
In the present embodiment, the Various types of data included on the flaw detection data of the Railway wheelset of acquisition, actually has
Certain incidence relation, such as position relationship, relation on attributes, inclusion relation, the relation with same detection object, this implementation
It will not enumerate herein.Thus, the present embodiment can be completed to detect a flaw to Railway wheelset based on the incidence relation between these data
The encapsulation of data, and required data are searched based on the incidence relation.
As another embodiment of the present invention, on the encapsulation process of flaw detection data, the present invention offer shown in Fig. 3 can refer to
A kind of Railway wheelset method for detection fault detection embodiment part schematic flow sheet, this method can specifically include：
Step S301：Obtain the information of vehicles of each train in the grouping information.
Wherein, the grouping information can refer to grouping information in state of the art comprising content, and the present embodiment is herein not
It is described in detail again.And the particular content that the information of vehicles includes can according to follow-up data encapsulate it needs to be determined that, such as can include compartment number,
Axletree number, storage end position, wheel diameter etc., the present invention is not especially limited to this.
Step S302：Based on the ultrasonic probe layout information and the information of vehicles, each wheel is established to flaw detection
The data storage file of data.
Wherein, the ultrasonic probe layout information is the location layout that ultrasonic probe is installed on railway, is respectively used to
Detect position or angle etc. the information of Railway wheelset, with ensure the data that are collected based on the ultrasonic probe can in time,
The defects of detecting accurately and comprehensively Railway wheelset.
Step S303：According to the triggering information and the velocity information, every is calculated in the flaw detection equipment
Ultrasonic probe gathers the first quantity of ultrasound data.
In the present embodiment practical application, for each wheel to flaw detection data for, can be according to for gathering the wheel
To flaw detection data ultrasonic probe frequency acquisition, cross the distance between vehicle speed and adjacent two ultrasonic probes,
Calculate this to cross in car, the ultrasound data number that every ultrasonic probe collects.
It should be noted that being popped one's head in the invention is not limited in above-mentioned determination every gathers the mode of which ultrasound data,
Creative work determination is paid so long as not those skilled in the art, belongs to the scope of the present invention.
Step S304：Based on first quantity and the ultrasonic probe layout information, from the ultrasound of each wheel pair
The first ultrasound data corresponding with every ultrasonic probe is extracted in data successively.
Wherein, due to each ultrasonic probe gather ultrasound data preservation order obtained by the Railway wheelset be it is known, thus,
Can be according to the order, the first quantity of the ultrasound data collected based on each ultrasonic probe of gained, to the ultrasound of each wheel pair
Data are divided, that is, it is the collection of which ultrasonic probe to determine which ultrasound data, subsequently to judge the ultrasonic number
After exception, based on the ultrasonic probe for gathering the abnormal data, particular location of the wheel to defect is determined.
Step S305：Screening meets at least three A total numbers of the first preset requirement according to guarantor from first ultrasound data
Corresponding data storage file is stored to, until when the A total numbers evidence in the data storage file reaches the first predetermined number, by institute
Data storage file is stated as the flaw detection data file storage after encapsulation.
In being detected in real data, detection data be all not valid data, and in follow-up further analysis
When, often several valid data therein work, thus, the present embodiment only collected from every ultrasonic probe first
Preferable at least three A total numbers evidence is filtered out in ultrasound data to be packaged.
Optionally, in order to improve carrying out flaw detection efficiency, directly can be sieved from the ultrasound data of every ultrasonic probe collection
3 preferable A total number evidences are selected, but are not limited thereto.
Based on above-mentioned analysis understand, the present embodiment by by online high speed acquisition to the first flaw detection data classification save as
Multiple single data files, after completing once to cross the collection of car, based on the relation between Various types of data, determine each wheel
To ultrasound data and the corresponding relation of each ultrasonic probe, and then filter out every ultrasonic probe and collect in ultrasound data extremely
Few three preferable A total number evidences, and store to the corresponding flaw detection data storage file pre-established, complete the encapsulation of epicycle data
And the data after storage enclosure, for being transferred during subsequent analysis, so as to avoid the accumulation of online acquisition flaw detection data to ultrasound
The adverse effect of the normal work of wave inspection detection means, it ensure that the safe operation of train.
Step S120：The data profile information is parsed, the reflex amplitude for obtaining the Railway wheelset is not small
In first threshold back wave as initial imperfection waveform.
It has been investigated that mutation, or even some portions often occur in the waveform of the back wave of the Railway wheelset of existing defects
Position should not have back wave, also can detect back wave because of its existing defects.Thus, the present embodiment passes through the number to acquisition
Parsed according to profile information, obtain the reflection wave and its amplitude of each Railway wheelset, when detection somewhither waveforms amplitude mistake
It is high that (waveforms amplitude exceedes first threshold i.e. at this, and the first threshold can be according to the waveform of Railway wheelset back wave when normal at this
Amplitude determines that the present invention does not limit its concrete numerical value) when, then preliminary judgement there may be defect at this.
Step S130：The initial imperfection waveform of carrying out flaw detection part acquisition working properly is filtered out as target defect ripple
Shape.
Wherein, the carrying out flaw detection part belongs to the flaw detection equipment, can be specifically ultrasonic probe, collection clamp
Deng of the invention that this is not especially limited.
In actual applications, if it has been found that carrying out flaw detection unit failure, can generally also cause Railway wheelset back wave
Waveforms amplitude it is too high, but Railway wheelset position not existing defects actually corresponding to the defective waveform.
So in order to avoid to taking turns the erroneous judgement to defect, the present embodiment there may be wheel to the first of defect to primarily determining that
Beginning defective waveform has carried out further screening, that is, judge gather or transmit above-mentioned initial imperfection waveform carrying out flaw detection part whether
Abnormal, if abnormal, it is real defective waveform that this part initial imperfection waveform, which is not, also needs further detection to cause the defect
The true cause of waveform.
Specifically, it may determine that other ultrasonic probes are to the back wave of station acquisition to wheel corresponding to the defective waveform
No existing defects waveform, if all existing, it is determined that the wheel, if being not present, illustrates it is the ultrasound to position existing defects really
Ripple probe failure, the wheel is to position not existing defects, it is of course also possible to use other modes determine whether, this hair
It is bright to be not limited to a kind of this mode, creative work determination is paid so long as not those skilled in the art, belongs to this hair
Bright protection domain.
And when the carrying out flaw detection part for gathering or transmitting above-mentioned initial imperfection waveform is normal, then judge the defective waveform
It is to take turns to caused by defect, this part initial imperfection waveform is real defective waveform, i.e. target defect waveform.
Step S140：Incidence relation based on the flaw detection data reflected waves after the encapsulation Yu Railway wheelset information, is obtained
Obtain Railway wheelset defective locations corresponding with the target defect waveform.
Understood based on above-mentioned analysis, when the wheel to acquisition is packaged to flaw detection data, each ultrasonic probe detection row
The information such as the position of wheel pair, gained ultrasound data and the affiliated train model of the Railway wheelset, coach number be all it is associated,
Thus, can be according to these known incidence relations, it is determined that row corresponding with the defective waveform it is determined that really after defective waveform
Wheel is to defective locations, to carry out timely processing to the defective locations.
Optionally, on the basis of the various embodiments described above, Railway wheelset detection method provided by the invention can also include：
Based on the target defect waveform filtered out, the defects of current defect of the Railway wheelset defective locations is affiliated is judged
Rank；When rank shows that the reflex amplitude of the Railway wheelset is not less than first threshold when judged the defects of, output is corresponding
Warning message, that is to say, that in the case of carrying out flaw detection part normal work, determine the reflex amplitude of Railway wheelset not
During less than first threshold, if the data profile information of Railway wheelset is unsatisfactory for predetermined waveform feature, exportable first warning message,
To prompt staff now to need to be tracked control to Railway wheelset corresponding to the data collection of illustrative plates；If the data of Railway wheelset
Profile information meets predetermined waveform feature, exportable second warning message, to prompt staff now to need to the datagram
Railway wheelset corresponding to spectrum carries out check judgement, so as to ensure safe train operation.
Wherein, the first threshold can different model wheel, and train present load according to used in different model train
The information such as situation, the minimum requirements that can ensure the train and securely and reliably travel determined, it is specific that the present invention does not limit its
Content；Meet predetermined waveform feature can echo to be present in digital reflex ripple, or, the ultrasonic probe in carrying out flaw detection device
For normal probe when, secondary concussion back wave be present in the data profile information for the Railway wheelset that the normal probe collects, but not
It is confined to this.
In addition, for the warning message, it can be specifically that indicator lamp flicker information, buzzer warning information or voice are broadcast
Notify breath etc., the present invention is not especially limited to this.
As further embodiment of this invention, when it is determined that after Railway wheelset defective locations, after being also based on the encapsulation
Flaw detection data and the Railway wheelset defective locations, output train wheel is to defect report, personnel's reference for processing.
Wherein, the Railway wheelset defect report can include：The affiliated train model of Railway wheelset of existing defects, compartment
Number, the velocity information of train, the detection time for detecting target defect waveform and the target defect waveform etc., the present invention is to this
It is not especially limited.
In addition, after Railway wheelset defective locations are determined, in order to remind staff as early as possible, can also export comprising described
The prompt message of Railway wheelset defective locations, it is preferred that the prompt message can be specifically information of voice prompt, but do not limit to
In this.
In summary, when detecting that Railway wheelset passes through flaw detection equipment, the flaw detection data of the Railway wheelset is obtained,
And after being packaged according to certain rule to it, when it needs to be determined that during Railway wheelset defective locations, the present embodiment is after encapsulation
The data profile information of Railway wheelset is extracted in flaw detection data, by being parsed to the data profile information, obtains Train Wheel
To reflex amplitude not less than first threshold back wave as initial imperfection waveform, afterwards, by from the initial imperfection ripple
Initial imperfection waveform that carrying out flaw detection part working properly obtains is filtered out in shape as target defect waveform, so as to reject because
Carrying out flaw detection unit exception causes the too high initial imperfection waveform of Railway wheelset reflex amplitude, and guarantee is based on back wave and train
The incidence relation to information is taken turns, Railway wheelset position corresponding to the target defect waveform of acquisition is real defective locations.By
This is visible, and the present invention realizes the analysis to online high speed acquisition and the flaw detection data encapsulated, judges in time and exactly train
Wheel is to defective locations, so as to ensure that the security reliability of train operation.
A kind of structural representation of Railway wheelset carrying out flaw detection device embodiment of the invention shown in reference picture 4, the device
It can specifically include：
Extraction module 410, for extracting the data profile information of Railway wheelset from the flaw detection data after the encapsulation of acquisition.
Wherein, the flaw detection data obtains when detecting that Railway wheelset passes through flaw detection equipment, the flaw detection number
According to can specifically include：Velocity information, triggering information, grouping information, ultrasonic probe layout information and ultrasound data etc.,
But it is not limited thereto.
Based on this, in practical application of the present invention, the detection means can also include：
Detection module, during for detecting that Railway wheelset passes through flaw detection equipment, obtain the flaw detection of the Railway wheelset
Data.
Memory module, for according to default classifying rules, the flaw detection data to be saved as into multiple single data files.
, can be according to default data classifying rules during car is crossed each time in the present embodiment practical application, will
First flaw detection data of online acquisition is temporarily saved as multiple data files, so as to facilitate subsequently to the fast of required categorical data
Speed obtains, and reduces subsequent data analysis workload.
Package module, for based on the relation between the multiple individually data file, being carried out to the flaw detection data
Encapsulation.
The present embodiment is encapsulated and stored in time by the flaw detection data to online high speed acquisition, so as to avoid online acquisition
The accumulation of flaw detection data, ultrasonic examination detection means normal work is ensure that, and then ensure that the safe operation of train.
As another embodiment of the present invention, as shown in figure 5, the package module can specifically include：
Acquiring unit 501, for obtaining the information of vehicles of each train in the grouping information.
Wherein, the information of vehicles can specifically include：Compartment number, axletree number, storage end position, wheel diameter etc., this hair
It is bright that this is not especially limited.
Construction unit 502, for based on the ultrasonic probe layout information and the information of vehicles, establishing each wheel
To the data storage file of flaw detection data；
Computing unit 503, for according to the triggering information and the velocity information, calculating the flaw detection equipment
In every ultrasonic probe collection ultrasound data the first quantity；
Extraction unit 504, for based on first quantity and the ultrasonic probe layout information, from each wheel pair
Ultrasound data in extract corresponding with every ultrasonic probe the first ultrasound data successively；
Memory cell 505, at least three A for the first preset requirement of screening satisfaction from first ultrasound data are swept
Data are saved in corresponding data storage file, until the A total numbers evidence in the data storage file reaches the first predetermined number
When, stored the data storage file as the flaw detection data file after encapsulation.
Parsing module 420, for being parsed to the data profile information, obtain the reflection wave amplitude of the Railway wheelset
Value is not less than the back wave of first threshold as initial imperfection waveform.
Screening module 430, for filtering out the initial imperfection waveform of carrying out flaw detection part acquisition working properly as mesh
Mark defective waveform.
Wherein, the carrying out flaw detection part belongs to the flaw detection equipment, can be specifically ultrasonic probe, various plates
Card etc., the present invention are not especially limited to this.
Defective locations acquisition module 440, for being believed based on the flaw detection data reflected waves after the encapsulation and Railway wheelset
The incidence relation of breath, obtain Railway wheelset defective locations corresponding with the target defect waveform.
Understood based on above-mentioned analysis, when detecting that Railway wheelset passes through flaw detection equipment, obtain the Railway wheelset
Flaw detection data, and after being packaged according to certain rule to it, when it needs to be determined that during Railway wheelset defective locations, the present embodiment from
The data profile information of Railway wheelset is extracted in flaw detection data after encapsulation, by being parsed to the data profile information, is obtained
Railway wheelset reflex amplitude not less than first threshold back wave as initial imperfection waveform, afterwards, by first from this
Initial imperfection waveform that carrying out flaw detection part working properly obtains is filtered out in beginning defective waveform as target defect waveform, from
And reject because carrying out flaw detection unit exception causes the too high initial imperfection waveform of Railway wheelset reflex amplitude, ensure based on reflection
The incidence relation of ripple and Railway wheelset information, Railway wheelset position corresponding to the target defect waveform of acquisition for it is true the defects of
Position, it is seen then that the present embodiment realizes the analysis to online high speed acquisition and the flaw detection data encapsulated, judges in time and exactly
Railway wheelset defective locations, so as to ensure that the security reliability of train operation.
Optionally, on the basis of the various embodiments described above, the Railway wheelset carrying out flaw detection device can also include：
Determination module, for based on the target defect waveform filtered out, judging the current of the Railway wheelset defective locations
The defects of defect is affiliated rank.
Alarm module, show that the reflex amplitude of the Railway wheelset is not less than first for working as the defects of judging rank
During threshold value, corresponding warning message is exported.
It can be seen that in the present embodiment practical application, when it is determined that Railway wheelset defect it is not serious, i.e., do not influence train and transport safely
During row, it can not handled temporarily；And when it has influence on train operating safety, it is necessary to it is handled immediately,
So now it can inform that staff is handled the major defect of Railway wheelset by exporting warning message.
Based on this, the device can also include：Defect reminding module, the Railway wheelset defective locations are included for exporting
Prompt message.
In addition, staff is handled Railway wheelset defective locations for convenience, or visited as Railway wheelset from now on
The reference that triage is surveyed, Railway wheelset failure detector provided by the invention can also include：
Report output module, it is defeated for based on the flaw detection data after the encapsulation and the Railway wheelset defective locations
Go out Railway wheelset defect report.
Wherein, the Railway wheelset defect report can include：The affiliated train model of Railway wheelset of existing defects, compartment
Number, the velocity information of train, the detection time for detecting target defect waveform and the target defect waveform etc., the present invention is to this
It is not especially limited.
Furthermore, it is necessary to explanation, in the various embodiments described above, such as first, second or the like relational terms are only
Only it is used for making a distinction an operation or unit with another operation or unit, and not necessarily requires or imply these units
Or any this actual relation or order be present between operation.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment
For, due to its with embodiment disclosed in method it is corresponding, so description is fairly simple, related part is referring to method part illustration
.
The foregoing description of the disclosed embodiments, professional and technical personnel in the field are enable to realize or using the present invention.
A variety of modifications to these embodiments will be apparent for 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, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (6)
1. a kind of Railway wheelset method for detection fault detection, it is characterised in that methods described includes：
When detecting that Railway wheelset passes through flaw detection equipment, the flaw detection data of the Railway wheelset is obtained；
According to default classifying rules, the flaw detection data is saved as into multiple single data files；
Based on the relation between the multiple individually data file, the flaw detection data is packaged；
The data profile information of Railway wheelset is extracted from the flaw detection data after the encapsulation of acquisition, the flaw detection data is to detect
Obtained when passing through flaw detection equipment to Railway wheelset；
The data profile information is parsed, the reflex amplitude for obtaining the Railway wheelset is anti-not less than first threshold
Ejected wave is as initial imperfection waveform；
The initial imperfection waveform that carrying out flaw detection part working properly obtains is filtered out to examine as target defect waveform, the flaw detection
Survey part and belong to the flaw detection equipment；
Incidence relation based on the flaw detection data reflected waves after the encapsulation Yu Railway wheelset information, acquisition lack with the target
Railway wheelset defective locations corresponding to trap shape；
Wherein, when the flaw detection data includes：Velocity information, triggering information, grouping information, ultrasonic probe layout information and
During ultrasound data, the relation based between the multiple individually data file, bag is packaged to the flaw detection data
Include：
Obtain the information of vehicles of each train in the grouping information；
Based on the ultrasonic probe layout information and the information of vehicles, data storage of each wheel to flaw detection data is established
File；
According to the triggering information and the velocity information, every ultrasonic probe collection in the flaw detection equipment is calculated
First quantity of ultrasound data；
Based on first quantity and the ultrasonic probe layout information, extracted successively from the ultrasound data of each wheel pair
The first ultrasound data corresponding with every ultrasonic probe；
Screening meets that at least three A total numbers evidence of the first preset requirement is saved in corresponding data from first ultrasound data
Storage file, until when the A total numbers evidence in the data storage file reaches the first predetermined number, by the data storage file
As the flaw detection data file storage after encapsulation.
2. according to the method described in right 1, it is characterised in that methods described also includes：
Based on the target defect waveform filtered out, the defects of current defect of the Railway wheelset defective locations is affiliated level is judged
Not；
When rank shows that the reflex amplitude of the Railway wheelset is not less than first threshold when judged the defects of, output is corresponding
Warning message.
3. according to the method for claim 1, it is characterised in that methods described also includes：
Based on the flaw detection data after the encapsulation and the Railway wheelset defective locations, output train wheel is to defect report.
4. according to the method for claim 1, it is characterised in that obtaining Train Wheel corresponding with the target defect waveform
After defective locations, methods described also includes：
Output includes the prompt message of the Railway wheelset defective locations.
5. a kind of Railway wheelset carrying out flaw detection device, it is characterised in that described device includes：
Detection module, during for detecting that Railway wheelset passes through flaw detection equipment, obtain the flaw detection data of the Railway wheelset；
Memory module, for according to default classifying rules, the flaw detection data to be saved as into multiple single data files；
Package module, for based on the relation between the multiple individually data file, being packaged to the flaw detection data；
Extraction module, for extracting the data profile information of Railway wheelset, the spy from the flaw detection data after the encapsulation of acquisition
Hinder data to obtain when detecting that Railway wheelset passes through flaw detection equipment；
Parsing module, for being parsed to the data profile information, the reflex amplitude for obtaining the Railway wheelset is not small
In first threshold back wave as initial imperfection waveform；
Screening module, for filtering out the initial imperfection waveform of carrying out flaw detection part acquisition working properly as target defect ripple
Shape, the carrying out flaw detection part belong to the flaw detection equipment；
Defective locations acquisition module, for associating based on the flaw detection data reflected waves after the encapsulation and Railway wheelset information
Relation, obtain Railway wheelset defective locations corresponding with the target defect waveform；
Wherein, when the flaw detection data includes：Velocity information, triggering information, grouping information, ultrasonic probe layout information and
During ultrasound data, the packaging system includes：
Acquiring unit, for obtaining the information of vehicles of each train in the grouping information；
Construction unit, for based on the ultrasonic probe layout information and the information of vehicles, establishing each wheel to flaw detection
The data storage file of data；
Computing unit, for according to the triggering information and the velocity information, calculating in the flaw detection equipment every
Ultrasonic probe gathers the first quantity of ultrasound data；
Extraction unit, for based on first quantity and the ultrasonic probe layout information, from the ultrasound of each wheel pair
The first ultrasound data corresponding with every ultrasonic probe is extracted in data successively；
Memory cell, at least three A total numbers for the first preset requirement of screening satisfaction from first ultrasound data are according to guarantor
Corresponding data storage file is stored to, until when the A total numbers evidence in the data storage file reaches the first predetermined number, by institute
Data storage file is stated as the flaw detection data file storage after encapsulation.
6. device according to claim 5, it is characterised in that described device also includes：
Determination module, for based on the target defect waveform filtered out, judging the current defect of the Railway wheelset defective locations
The defects of affiliated rank；
Alarm module, show that the reflex amplitude of the Railway wheelset is not less than first threshold for working as the defects of judging rank
When, export corresponding warning message.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510867386.0A CN105277622B (en) | 2015-12-01 | 2015-12-01 | A kind of Railway wheelset method for detection fault detection and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510867386.0A CN105277622B (en) | 2015-12-01 | 2015-12-01 | A kind of Railway wheelset method for detection fault detection and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105277622A CN105277622A (en) | 2016-01-27 |
| CN105277622B true CN105277622B (en) | 2018-03-23 |
Family
ID=55146992
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510867386.0A Active CN105277622B (en) | 2015-12-01 | 2015-12-01 | A kind of Railway wheelset method for detection fault detection and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105277622B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106645403A (en) * | 2016-11-16 | 2017-05-10 | 易讯科技股份有限公司 | Online wheelset detection method applied to metro vehicles |
| CN109272504B (en) * | 2018-10-17 | 2022-04-29 | 广汽丰田汽车有限公司 | Method, device and system for detecting and tracing concave-convex defect of vehicle |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW510969B (en) * | 1998-07-31 | 2002-11-21 | Siemens Ag | Method and device for the detection of the flow in a wheel on a railway |
| CN103018046A (en) * | 2012-12-13 | 2013-04-03 | 唐山轨道客车有限责任公司 | Method, device and system for monitoring high-speed electric multiple unit train bogie bearing faults |
| CN103278565A (en) * | 2013-06-20 | 2013-09-04 | 成都铁安科技有限责任公司 | Method for fast encapsulating and analyzing cyclically-scanned ultrasonic flaw detection data |
| CN104751288A (en) * | 2015-03-30 | 2015-07-01 | 北京首钢自动化信息技术有限公司 | Segment-based multi-dimensional online quality evaluation system and method for steel coils |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102004023824B4 (en) * | 2004-05-13 | 2006-07-13 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Apparatus and method for evaluating a quality class of an object to be tested |
-
2015
- 2015-12-01 CN CN201510867386.0A patent/CN105277622B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW510969B (en) * | 1998-07-31 | 2002-11-21 | Siemens Ag | Method and device for the detection of the flow in a wheel on a railway |
| CN103018046A (en) * | 2012-12-13 | 2013-04-03 | 唐山轨道客车有限责任公司 | Method, device and system for monitoring high-speed electric multiple unit train bogie bearing faults |
| CN103278565A (en) * | 2013-06-20 | 2013-09-04 | 成都铁安科技有限责任公司 | Method for fast encapsulating and analyzing cyclically-scanned ultrasonic flaw detection data |
| CN104751288A (en) * | 2015-03-30 | 2015-07-01 | 北京首钢自动化信息技术有限公司 | Segment-based multi-dimensional online quality evaluation system and method for steel coils |
Non-Patent Citations (1)
| Title |
|---|
| 多轮对跟随式探伤系统设计;王驰等;《应用案例》;20150731;第34卷(第19期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105277622A (en) | 2016-01-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103267932B (en) | A kind of GIS partial discharge detection system and method | |
| CN111024728B (en) | Railway detection method and system based on computer vision and ultrasonic flaw detection | |
| CN109030628A (en) | Based on the matched track structure Evaluation Method of Mechanical Property of vibration noise spectrum signature | |
| CN107036815A (en) | The method and data processing equipment of Severity are carried out to bearing defect | |
| CN104316729B (en) | Self-diagnosis method of acceleration sensors for locomotive bogie detection | |
| US7263446B2 (en) | Structural health management system and method for enhancing availability and integrity in the structural health management system | |
| CN106353397A (en) | Vehicular magnetic flux leakage detecting equipment and system for steel rail surface damage | |
| CN104608803B (en) | Method for measuring speed of train | |
| CN106124231A (en) | A kind of high ferro train health status monitoring device and using method thereof | |
| CN105115605A (en) | Track train infrared detection system and detection method | |
| CN105403420B (en) | A kind of bogie method for diagnosing faults for merging multisensor | |
| CN110745162A (en) | Train integrity checking method and system | |
| CN105976610A (en) | Bayonet passing vehicle detection reliability control method and system | |
| CN105277622B (en) | A kind of Railway wheelset method for detection fault detection and device | |
| AU624058B2 (en) | Integrity test for acoustic bearing defect detector | |
| CN209055845U (en) | A kind of high-speed EMUs driving faults monitoring and fault diagnosis system | |
| Fedorko et al. | Failure analysis of cyclic damage to a railway rail–A case study | |
| CN108731953A (en) | A kind of polygon failure on-line detecting method of Railway wheelset | |
| CN104596775A (en) | Engine on-fire diagnostic system and method thereof | |
| CN105424803B (en) | A kind of Railway wheelset flaw detection processing method and processing device | |
| CN205157057U (en) | Infrared detecting system of rail train | |
| CN106289781A (en) | Railroad vehicle bearing fault on-line measuring device and method | |
| KR101463797B1 (en) | Method and apparatus for diagnosing railway by using driving noise of railway vehicle | |
| CN110672341A (en) | Train running part detection system arranged on track | |
| CN105260830B (en) | A kind of partial discharge intelligent assembly performance estimating method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| CB03 | Change of inventor or designer information |
Inventor after: Peng Chaoyong Inventor after: Xu Chaoxue Inventor after: Gao Chunliang Inventor after: Luo Ronghua Inventor after: Zhao Bo Inventor after: Zhao Quanke Inventor after: Wang Zeyong Inventor after: Gao Xiaorong Inventor after: Zhang Yu Inventor after: Peng Jianping Inventor after: Yang Kai Inventor after: Hu Jidong Inventor before: Zhao Bo Inventor before: Xu Chaoxue Inventor before: Gao Chunliang Inventor before: Luo Ronghua Inventor before: Peng Chaoyong Inventor before: Zhao Quanke Inventor before: Wang Zeyong Inventor before: Gao Xiaorong Inventor before: Zhang Yu Inventor before: Peng Jianping Inventor before: Yang Kai Inventor before: Hu Jidong |
|
| COR | Change of bibliographic data | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160307 Address after: 610000 Sichuan City, Chengdu Province, No. two North Ring Road, No. 111 Applicant after: Southwest Jiaotong University Applicant after: BEIJING ANTIE SOFTWARE TECHNOLOGY CO., LTD. Address before: 100070, No. 32, No. ten, No. 188, South Fourth Ring Road, Beijing, Fengtai District, building 3 (Park) Applicant before: BEIJING ANTIE SOFTWARE TECHNOLOGY CO., LTD. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |