CN105277622A - Method and device for flaw detection of train wheel set - Google Patents
Method and device for flaw detection of train wheel set Download PDFInfo
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- CN105277622A CN105277622A CN201510867386.0A CN201510867386A CN105277622A CN 105277622 A CN105277622 A CN 105277622A CN 201510867386 A CN201510867386 A CN 201510867386A CN 105277622 A CN105277622 A CN 105277622A
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Abstract
The invention provides a method and a device for flaw detection of a train wheel set. The method comprises the following steps: extracting data graph information of the train wheel set from a flaw detection data after packaging; analyzing the data graph information, thereby acquiring a reflecting wave with a reflecting wave amplitude value of the train wheel set not less than a first threshold and taking the reflecting wave as an initial defect waveform; and taking the initial defect waveform acquired by a normally working flaw detection part screened out from the initial defect waveform as a target defect waveform, thereby removing the initial defect waveform with ultrahigh reflecting wave amplitude value of the train wheel set caused by the abnormal condition of the flaw detection part, and ensuring that the position of the train wheel set corresponding to the target defect waveform is the real flaw position based on the incidence relation between the reflecting wave and the train wheel set information. According to the method provided by the invention, the analysis for the online high-speed collected and packaged flaw detection data is realized and the flaw position of the train wheel set is accurately judged, so that the safety and reliability of the train running are ensured.
Description
Technical field
The present invention relates to wheel to carrying out flaw detection technical field, more particularly relate to a kind of Railway wheelset method for detection fault detection and device.
Background technology
In recent years, along with the fast development of China's economy, railroad train speed also progressively promotes thereupon, impact suffered by Railway wheelset also increases thereupon, and Railway wheelset can normally work be one of major hidden danger jeopardizing safety of railway traffic, so the safety detection of Railway wheelset becomes a link important in railway detection.
At present, railway interests often uses Dynamic Non-Destruction Measurement to realize Wheel set detecting, mainly this Dynamic Non-Destruction Measurement is applied to wheel in flaw detection, solves the real-time test problems of wheel to defect.Nondestructive examination detection method is as nowadays most popular Dynamic Non-Destruction Measurement, it launches ultrasound wave by transmitting probe to detected pieces, receive the ultrasound wave of returning from reflected at interfaces by receiving transducer again or through the transmitted wave after detected pieces, detect spare part parts whether existing defects accordingly.
But, applicant finds, existing Railway wheelset method for detection fault detection is normally when train needs maintenance, UT (Ultrasonic Testing) pick-up unit just can be used to complete detection to train, there is certain hysteresis quality, the defect on Railway wheelset cannot be judged timely and accurately, and then have impact on the safe reliability of train operation.
Summary of the invention
In view of this, the invention provides a kind of Railway wheelset method for detection fault detection and device, achieve online high speed acquisition and the analysis of flaw detection data of encapsulation, in time and judge Railway wheelset defective locations exactly, thus ensure that the safe reliability of train operation.
To achieve these goals, this application provides following technical scheme:
A kind of Railway wheelset method for detection fault detection, described method comprises:
From the data plot spectrum information of the flaw detection extracting data Railway wheelset after the encapsulation obtained, described flaw detection data are detecting that Railway wheelset obtains through flaw detection equipment;
Resolve described data plot spectrum information, the reflex amplitude obtaining described Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform;
Filter out the initial imperfection waveform of carrying out flaw detection parts acquisition working properly as target defect waveform, described carrying out flaw detection parts belong to described flaw detection equipment;
Based on the incidence relation of the flaw detection data reflected waves after described encapsulation and Railway wheelset information, obtain the Railway wheelset defective locations corresponding with described target defect waveform.
Preferably, before the data plot spectrum information from the flaw detection extracting data Railway wheelset after the encapsulation obtained, described method also comprises:
Detect that Railway wheelset is through flaw detection equipment, obtain the flaw detection data of described Railway wheelset;
According to default classifying rules, described flaw detection data are saved as multiple independent data file;
Based on the relation between described multiple independent data file, described flaw detection data are encapsulated.
Preferably, when described flaw detection data comprise: when velocity information, trigger message, grouping information, ultrasonic probe layout information and ultrasound data, described based on the relation between described multiple independent data file, encapsulation is carried out to described flaw detection data and comprises:
Obtain the information of vehicles of each train in described grouping information;
Based on described ultrasonic probe layout information and described information of vehicles, set up each data storage file of taking turns flaw detection data;
According to described trigger message and described velocity information, calculate the first quantity of every ultrasonic probe collection ultrasound data in described flaw detection equipment;
Based on described first quantity and described ultrasonic probe layout information, extract first ultrasound data corresponding with every ultrasonic probe successively from each wheel right ultrasound data;
From described first ultrasound data, screening meets at least three A total numbers of the first preset requirement according to being saved in corresponding data storage file, until the A total number in described data storage file is according to when reaching the first predetermined number, described data storage file is stored as the flaw detection data file after encapsulation.
Preferably, described method also comprises:
Based on the target defect waveform filtered out, judge the Level belonging to current defect of described Railway wheelset defective locations;
When judged Level shows that the reflex amplitude of described Railway wheelset is not less than first threshold, export corresponding warning message.
Preferably, described method also comprises:
Based on the flaw detection data after described encapsulation and described Railway wheelset defective locations, output train wheel is to defect report.
Preferably, after obtaining the Railway wheelset defective locations corresponding with described target defect waveform, described method also comprises:
Output packet is containing the information of described Railway wheelset defective locations.
A kind of Railway wheelset carrying out flaw detection device, described device comprises:
Extraction module, for the data plot spectrum information from the flaw detection extracting data Railway wheelset after the encapsulation obtained, described flaw detection data are detecting that Railway wheelset obtains through flaw detection equipment;
Parsing module, for resolving described data plot spectrum information, the reflex amplitude obtaining described Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform;
Screening module, for filtering out the initial imperfection waveform of carrying out flaw detection parts acquisition working properly as target defect waveform, described carrying out flaw detection parts belong to described flaw detection equipment;
Defective locations acquisition module, for the incidence relation based on the flaw detection data reflected waves after described encapsulation and Railway wheelset information, obtains the Railway wheelset defective locations corresponding with described target defect waveform.
Preferably, described device also comprises:
Detection module, for detecting that Railway wheelset is through flaw detection equipment, obtains the flaw detection data of described Railway wheelset;
Described flaw detection data, for according to default classifying rules, are saved as multiple independent data file by memory module;
Package module, for based on the relation between described multiple independent data file, encapsulates described flaw detection data.
Preferably, when described flaw detection data comprise: when velocity information, trigger message, grouping information, ultrasonic probe layout information and ultrasound data, described packaging system comprises:
Acquiring unit, for obtaining the information of vehicles of each train in described grouping information;
Construction unit, for based on described ultrasonic probe layout information and described information of vehicles, sets up each data storage file of taking turns flaw detection data;
Computing unit, for according to described trigger message and described velocity information, calculates the first quantity of every ultrasonic probe collection ultrasound data in described flaw detection equipment;
Extraction unit, for based on described first quantity and described ultrasonic probe layout information, extracts first ultrasound data corresponding with every ultrasonic probe successively from each wheel right ultrasound data;
Storage unit, at least three A total numbers of the first preset requirement are met according to being saved in corresponding data storage file for screening from described first ultrasound data, until the A total number in described data storage file is according to when reaching the first predetermined number, described data storage file is stored as the flaw detection data file after encapsulation.
Preferably, described device also comprises:
Determination module, for based on the target defect waveform filtered out, judges the Level belonging to current defect of described Railway wheelset defective locations;
Alarm module, for work as judged Level show that the reflex amplitude of described Railway wheelset is not less than first threshold time, export corresponding warning message.
As can be seen here, compared with prior art, this application provides a kind of Railway wheelset method for detection fault detection and device, detecting that Railway wheelset is through flaw detection equipment, obtain the flaw detection data of this Railway wheelset, and according to certain rule, it is encapsulated, when Railway wheelset defective locations determined by needs, from the data plot spectrum information of the flaw detection extracting data Railway wheelset after encapsulation, by resolving this data plot spectrum information, the reflex amplitude obtaining Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform, afterwards, by filtering out initial imperfection waveform that carrying out flaw detection parts working properly obtain as target defect waveform from this initial imperfection waveform, thus the initial imperfection waveform of rejecting because carrying out flaw detection unit exception causes Railway wheelset reflex amplitude too high, ensure the incidence relation based on reflection wave and Railway wheelset information, the Railway wheelset position that this target defect waveform obtained is corresponding is real defective locations.As can be seen here, present invention achieves online high speed acquisition and the analysis of flaw detection data of encapsulation, in time and judge Railway wheelset defective locations exactly, thus ensure that the safe reliability of train operation.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
Fig. 1 is the schematic flow sheet of a kind of Railway wheelset method for detection fault detection embodiment provided by the invention;
Fig. 2 is the part run schematic diagram of another kind of Railway wheelset method for detection fault detection embodiment provided by the invention;
Fig. 3 is the part run schematic diagram of another Railway wheelset method for detection fault detection embodiment provided by the invention;
Fig. 4 is the structural representation of a kind of Railway wheelset carrying out flaw detection device embodiment provided by the invention;
Fig. 5 is the part-structure schematic diagram of another kind of 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, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
This application provides a kind of Railway wheelset method for detection fault detection and device, when Railway wheelset being detected by flaw detection equipment, obtain the flaw detection data of this Railway wheelset, and according to certain rule, it is encapsulated, when Railway wheelset defective locations determined by needs, from the data plot spectrum information of the flaw detection extracting data Railway wheelset after encapsulation, by resolving this data plot spectrum information, the reflex amplitude obtaining Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform, afterwards, by filtering out initial imperfection waveform that carrying out flaw detection parts working properly obtain as target defect waveform from this initial imperfection waveform, thus the initial imperfection waveform of rejecting because carrying out flaw detection unit exception causes Railway wheelset reflex amplitude too high, ensure the incidence relation based on reflection wave and Railway wheelset information, the Railway wheelset position that this target defect waveform obtained is corresponding is real defective locations.As can be seen here, present invention achieves online high speed acquisition and the analysis of flaw detection data of encapsulation, in time and judge Railway wheelset defective locations exactly, thus ensure that the safe reliability of train operation.
For enabling above-mentioned purpose of the present invention, feature and advantage become apparent more, and below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
With reference to the schematic flow sheet of the provided by the invention a kind of Railway wheelset method for detection fault detection embodiment shown in Fig. 1, the method specifically can comprise the following steps:
Step S110: from the data plot spectrum information of the flaw detection extracting data Railway wheelset after the encapsulation obtained.
Wherein, these flaw detection data are detecting that Railway wheelset obtains through flaw detection equipment, this flaw detection equipment can be specifically UT (Ultrasonic Testing) checkout equipment, and it specifically forms structure and can refer to existing UT (Ultrasonic Testing) checkout equipment, and the present embodiment is not described in detail in this.
Applicant finds, because the present embodiment adopts UT (Ultrasonic Testing) detection technique, after the transmitting terminal of ultrasonic probe launches ultrasound wave to Railway wheelset, if this Railway wheelset existing defects, the reflection wave of this Railway wheelset that this ultrasonic probe receiving end receives there will be exception, and thus, the present embodiment is by by analyzing the data plot spectrum information of Railway wheelset in the flaw detection data after encapsulation, to judge this Railway wheelset whether existing defects, concrete decision process can refer to step below.
Optionally, before the present embodiment step S110, as shown in Figure 2, this detection method can also comprise:
Step S111: detect that Railway wheelset is through flaw detection equipment, obtains the flaw detection data of described Railway wheelset.
The present embodiment is by taking turns Real-Time Monitoring running train, so that Timeliness coverage running train wheel is to defect also process in time, thus guarantee train safe reliability service.
Wherein, these flaw detection data can comprise: velocity information, trigger message, grouping information, ultrasonic probe layout information and ultrasound data etc., the present embodiment does not do concrete restriction to this.
In addition; it should be noted that; about the online high speed acquisition to Railway wheelset flaw detection data; usual meeting is after once car terminates excessively; will encapsulate it; thus avoid the accumulation of image data; ensure that this ultrasonic detection device is working properly to carry out in order; concrete packaged type is as follows; and it is similar to ultrasonic detection technology in the collecting method of crossed train and prior art about ultrasonic detecting equipment; those skilled in the art can suitably adjust according to actual needs, and concrete grammar process the present embodiment is not described in detail in this.
These flaw detection data are saved as multiple independent data file by step S112: according to default classifying rules.
Known based on above-mentioned analysis, this flaw detection packet is containing multiple types of data, thus, conveniently follow-uply transfer required categorical data, improve data-handling efficiency, the flaw detection data of acquisition according to the classifying rules preset, are preserved being divided into multiple independent data file by the present embodiment temporarily, wherein, each data file only comprises a kind of categorical data.
Such as, for the above-mentioned concentrated flaw detection data provided, specifically can by obtain cross train velocity information be stored as the first data file, the trigger message obtained (as the information such as data acquiring frequency of ultrasonic probe, but being not limited thereto) is temporarily saved as the second data file; Grouping information (as train model, compartment number, wheel logarithm, information such as warehouse-in end position, wheel diameter etc., but being not limited thereto) will be obtained and be temporarily saved as the 3rd data file; By the ultrasonic probe layout information obtained (i.e. acquisition angles of setting diverse location according to collection wheel of the position relationship of ultrasonic probe on rail and spacing distance, every ultrasonic probe etc., but be not limited thereto) be temporarily saved as the 4th data file; Each collecting being taken turns right ultrasound data (namely takes turns appearance profile and inner side distance, thread defect, wheel out of round degree etc., but be not limited thereto, it can flaw detection data according to actual needs be determined, the present embodiment will not enumerate at this) be temporarily saved as the 5th data file.
Optionally, according to actual needs, interval division can also be carried out to train running speed in advance, according to this division rule, the velocity information belonging to same speed interval is temporarily saved as a data file; And each is taken turns right ultrasound data and can save as separately a data file.It should be noted that, the interim preservation of the present invention to flaw detection data is not limited to the mode of above-mentioned record, pays that creative work determines so long as not those skilled in the art, all belongs to scope.
In addition, about the data file of above-mentioned independent preservation, completing after once crossing the encapsulation of flaw detection data that car collects, directly can delete, thus decreasing its taking system resource, and avoid data file to pile up impact on pick-up unit work.
Step S113: based on the relation between described multiple independent data file, described flaw detection data are encapsulated.
In the present embodiment, about the Various types of data that the flaw detection packet of the Railway wheelset obtained contains, be actually and have certain incidence relation, as position relationship, relation on attributes, relation of inclusion, the relation with same detection object etc., this enforcement will not enumerate at this.Thus, the present embodiment based on the incidence relation between these data, can complete the encapsulation to Railway wheelset flaw detection data, and searches required data based on this incidence relation.
As another embodiment of the present invention, about the encapsulation process of flaw detection data, can refer to the part run schematic diagram of the provided by the invention a kind of Railway wheelset method for detection fault detection embodiment shown in Fig. 3, the method specifically can comprise:
Step S301: the information of vehicles obtaining each train in described grouping information.
Wherein, this grouping information content can refer to grouping information in state of the art, and the present embodiment is not described in detail in this.And the particular content that this information of vehicles comprises can need to determine according to follow-up data encapsulation, as comprised compartment number, axletree number, warehouse-in end position, wheel diameter etc., the present invention does not do concrete restriction to this.
Step S302: based on described ultrasonic probe layout information and described information of vehicles, sets up each data storage file of taking turns flaw detection data.
Wherein, this ultrasonic probe layout information is the location layout that on railway, ultrasonic probe is installed, be respectively used to position or angle etc. the information detecting Railway wheelset, to ensure that the data collected based on this ultrasonic probe can detect the defect of Railway wheelset in time, accurately and all sidedly.
Step S303: according to described trigger message and described velocity information, calculates the first quantity of every ultrasonic probe collection ultrasound data in described flaw detection equipment.
In the present embodiment practical application, for each take turns concerning flaw detection data, can according to the distance for gathering between this frequency acquisition of taking turns the ultrasonic probe of right flaw detection data, excessively vehicle speed and adjacent two ultrasonic probes, calculating this crosses in car, the ultrasound data number that every ultrasonic probe collects.
It should be noted that, the present invention is not limited to the above-mentioned mode determining which ultrasound data of every probe acquires, pays that creative work determines so long as not those skilled in the art, all belongs to scope.
Step S304: based on described first quantity and described ultrasonic probe layout information, extracts first ultrasound data corresponding with every ultrasonic probe successively from each wheel right ultrasound data.
Wherein, known because each ultrasonic probe gathers this Railway wheelset gained ultrasound data preservation order, thus, according to this order, based on the first quantity of the ultrasound data that each ultrasonic probe of gained collects, right ultrasound data can be taken turns divide each, namely determine which ultrasound data is the collection of which ultrasonic probe, after this ultrasound data of follow-up judgement is abnormal, based on the ultrasonic probe gathering this abnormal data, to determine that this takes turns the particular location to defect.
Step S305: screening meets at least three A total numbers of the first preset requirement according to being saved in corresponding data storage file from described first ultrasound data, until the A total number in described data storage file is according to when reaching the first predetermined number, described data storage file is stored as the flaw detection data file after encapsulation.
In detecting in real data, detection data be not all valid data, and when follow-up further analysis, several valid data wherein work often, thus, the present embodiment only filters out good at least three A total numbers according to encapsulating from the first ultrasound data that every ultrasonic probe collects.
Optionally, in order to improve carrying out flaw detection efficiency, directly can filter out 3 good A total number certificates from the ultrasound data of every ultrasonic probe collection, but being not limited thereto.
Known based on above-mentioned analysis, the present embodiment by by online high speed acquisition to first flaw detection Data classification save as multiple independent data file, after completing the collection of once crossing car, based on the relation between Various types of data, determine that each takes turns the corresponding relation to ultrasound data and each ultrasonic probe, and then filter out every platform ultrasonic probe and collect at least three good A total number certificates in ultrasound data, and be stored into the corresponding flaw detection data storage file set up in advance, complete epicycle data encapsulation and data after storage enclosure, transfer for during subsequent analysis, thus avoid online acquisition flaw detection data accumulation to the adverse effect of the normal work of UT (Ultrasonic Testing) pick-up unit, ensure that the safe operation of train.
Step S120: resolve described data plot spectrum information, the reflex amplitude obtaining described Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform.
Find after deliberation, often there is sudden change in the waveform of the reflection wave of the Railway wheelset of existing defects, and even should there be reflection wave at some position, reflection wave can be detected because of its existing defects yet.Thus, the present embodiment is by resolving the data plot spectrum information obtained, obtain reflection wave and the amplitude thereof of each Railway wheelset, when detecting that too high (namely this place's waveforms amplitude exceedes first threshold to somewhere waveforms amplitude, this first threshold can normal according to this place of Railway wheelset time reflection wave waveforms amplitude determine, the present invention does not limit its concrete numerical value) time, then this place of preliminary judgement may existing defects.
Step S130: filter out the initial imperfection waveform of carrying out flaw detection parts acquisition working properly as target defect waveform.
Wherein, these carrying out flaw detection parts belong to described flaw detection equipment, and can be specifically ultrasonic probe, gather clamp etc., the present invention do concrete restriction to this.
In actual applications, applicant finds, if carrying out flaw detection unit failure, the waveforms amplitude of Railway wheelset reflection wave usually also can be caused too high, but the Railway wheelset position not existing defects that in fact this defective waveform is corresponding.
So, in order to avoid to the erroneous judgement of wheel to defect, the present embodiment is to tentatively determining that may there is wheel has carried out further screening to the initial imperfection waveform of defect, namely judge that whether the carrying out flaw detection parts gathering or transmit above-mentioned initial imperfection waveform are abnormal, if abnormal, then this part initial imperfection waveform is not real defective waveform, also needs to detect the true cause causing this defective waveform further.
Concrete; other ultrasonic probes can be judged to wheel corresponding to this defective waveform to the reflection wave of station acquisition whether existing defects waveform; if all exist; then determine that this takes turns position existing defects really; if do not exist; then illustrate it has been this ultrasonic probe fault; this takes turns position not existing defects; certainly; also other modes can be adopted to do further judgement; the present invention is not limited to this kind of mode, pays that creative work determines so long as not those skilled in the art, all belongs to scope.
And when the carrying out flaw detection parts gathered or transmit above-mentioned initial imperfection waveform are all normal, then judging that this defective waveform wheel causes defect, this part initial imperfection waveform is real defective waveform, i.e. target defect waveform.
Step S140: based on the incidence relation of the flaw detection data reflected waves after described encapsulation and Railway wheelset information, obtain the Railway wheelset defective locations corresponding with described target defect waveform.
Known based on above-mentioned analysis, when encapsulating flaw detection data the wheel obtained, each ultrasonic probe detects the information such as train model, coach number belonging to the position of Railway wheelset, gained ultrasound data and this Railway wheelset and is all associated, thus, after determining real defective waveform, according to these known incidence relations, the Railway wheelset defective locations corresponding with this defective waveform can be determined, to process in time this defective locations.
Optionally, on the basis of the various embodiments described above, Railway wheelset detection method provided by the invention can also comprise:
Based on the target defect waveform filtered out, judge the Level belonging to current defect of described Railway wheelset defective locations; When judged Level shows that the reflex amplitude of described Railway wheelset is not less than first threshold, export corresponding warning message, that is, when carrying out flaw detection parts normally work, when determining that the reflex amplitude of Railway wheelset is not less than first threshold, if the data plot spectrum information of Railway wheelset does not meet predetermined waveform feature, exportable first warning message, now needs the Railway wheelset corresponding to this data collection of illustrative plates to carry out tracing control to point out staff; If the data plot spectrum information of Railway wheelset meets predetermined waveform feature, exportable Secondary Report alarming information, now needs the Railway wheelset corresponding to this data collection of illustrative plates to carry out check to point out staff and judges, thus ensure safe train operation.
Wherein, this first threshold can according to different model train different model wheel used, and the information such as this train current load situation, and that determines can ensure the minimum requirements that this train safe reliably travels, and the present invention does not limit its particular content; Meet predetermined waveform feature and can there is echo in digital reflex ripple, or, when the ultrasonic probe in carrying out flaw detection device is normal probe, there is secondary concussion reflection wave in the data plot spectrum information of the Railway wheelset that this normal probe collects, but be not limited thereto.
In addition, for this warning message, it can be specifically pilot lamp flicker information, buzzer warning information or voice broadcast information etc., and the present invention does not do concrete restriction to this.
As further embodiment of this invention, after determining Railway wheelset defective locations, can also based on the flaw detection data after described encapsulation and described Railway wheelset defective locations, output train is taken turns defect report, for treatment people reference.
Wherein, this Railway wheelset defect report can comprise: the velocity information of train model, coach number, train belonging to the Railway wheelset of existing defects, the detection time and this target defect waveform etc. of detection target defect waveform, the present invention does not do concrete restriction to this.
In addition, after determining Railway wheelset defective locations, in order to remind staff as early as possible, all right output packet is containing the information of described Railway wheelset defective locations, and preferably, this information can be specifically information of voice prompt, but is not limited thereto.
In sum, when Railway wheelset being detected by flaw detection equipment, obtain the flaw detection data of this Railway wheelset, and after it being encapsulated according to certain rule, when Railway wheelset defective locations determined by needs, the present embodiment is from the data plot spectrum information of the flaw detection extracting data Railway wheelset after encapsulation, by resolving this data plot spectrum information, the reflex amplitude obtaining Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform, afterwards, by filtering out initial imperfection waveform that carrying out flaw detection parts working properly obtain as target defect waveform from this initial imperfection waveform, thus the initial imperfection waveform of rejecting because carrying out flaw detection unit exception causes Railway wheelset reflex amplitude too high, ensure the incidence relation based on reflection wave and Railway wheelset information, the Railway wheelset position that this target defect waveform obtained is corresponding is real defective locations.As can be seen here, present invention achieves online high speed acquisition and the analysis of flaw detection data of encapsulation, in time and judge Railway wheelset defective locations exactly, thus ensure that the safe reliability of train operation.
With reference to the structural representation of a kind of Railway wheelset carrying out flaw detection of the present invention device embodiment shown in Fig. 4, this device specifically can comprise:
Extraction module 410, for the data plot spectrum information from the flaw detection extracting data Railway wheelset after the encapsulation obtained.
Wherein, described flaw detection data are detecting that Railway wheelset obtains through flaw detection equipment, these flaw detection data specifically can comprise: velocity information, trigger message, grouping information, ultrasonic probe layout information and ultrasound data etc., but are not limited thereto.
Based on this, in practical application of the present invention, this pick-up unit can also comprise:
Detection module, for detecting that Railway wheelset is through flaw detection equipment, obtains the flaw detection data of described Railway wheelset.
Described flaw detection data, for according to default classifying rules, are saved as multiple independent data file by memory module.
In the present embodiment practical application, crossing in car process each time, all according to the Data classification rule preset, first of online acquisition the flaw detection data can be temporarily saved as multiple data file, thus facilitate the follow-up quick obtaining to required categorical data, reduce subsequent data analysis workload.
Package module, for based on the relation between described multiple independent data file, encapsulates described flaw detection data.
The present embodiment by encapsulating in time the flaw detection data of online high speed acquisition and store, thus avoids the accumulation of online acquisition flaw detection data, ensure that UT (Ultrasonic Testing) pick-up unit normally works, and then ensure that the safe operation of train.
As another embodiment of the present invention, as shown in Figure 5, this package module specifically can comprise:
Acquiring unit 501, for obtaining the information of vehicles of each train in described grouping information.
Wherein, this information of vehicles specifically can comprise: compartment number, axletree number, warehouse-in end position, wheel diameter etc., the present invention does not do concrete restriction to this.
Construction unit 502, for based on described ultrasonic probe layout information and described information of vehicles, sets up each data storage file of taking turns flaw detection data;
Computing unit 503, for according to described trigger message and described velocity information, calculates the first quantity of every ultrasonic probe collection ultrasound data in described flaw detection equipment;
Extraction unit 504, for based on described first quantity and described ultrasonic probe layout information, extracts first ultrasound data corresponding with every ultrasonic probe successively from each wheel right ultrasound data;
Storage unit 505, at least three A total numbers of the first preset requirement are met according to being saved in corresponding data storage file for screening from described first ultrasound data, until the A total number in described data storage file is according to when reaching the first predetermined number, described data storage file is stored as the flaw detection data file after encapsulation.
Parsing module 420, for resolving described data plot spectrum information, the reflex amplitude obtaining described Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform.
Screening module 430, for filtering out the initial imperfection waveform of carrying out flaw detection parts acquisition working properly as target defect waveform.
Wherein, described carrying out flaw detection parts belong to described flaw detection equipment, and can be specifically ultrasonic probe, various boards etc., the present invention do concrete restriction to this.
Defective locations acquisition module 440, for the incidence relation based on the flaw detection data reflected waves after described encapsulation and Railway wheelset information, obtains the Railway wheelset defective locations corresponding with described target defect waveform.
Known based on above-mentioned analysis, when Railway wheelset being detected by flaw detection equipment, obtain the flaw detection data of this Railway wheelset, and after it being encapsulated according to certain rule, when Railway wheelset defective locations determined by needs, the present embodiment is from the data plot spectrum information of the flaw detection extracting data Railway wheelset after encapsulation, by resolving this data plot spectrum information, the reflex amplitude obtaining Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform, afterwards, by filtering out initial imperfection waveform that carrying out flaw detection parts working properly obtain as target defect waveform from this initial imperfection waveform, thus the initial imperfection waveform of rejecting because carrying out flaw detection unit exception causes Railway wheelset reflex amplitude too high, ensure the incidence relation based on reflection wave and Railway wheelset information, the Railway wheelset position that this target defect waveform obtained is corresponding is real defective locations, visible, the present embodiment achieves online high speed acquisition and the analysis of the flaw detection data of encapsulation, in time and exactly judge Railway wheelset defective locations, thus ensure that the safe reliability of train operation.
Optionally, on the basis of the various embodiments described above, this Railway wheelset carrying out flaw detection device can also comprise:
Determination module, for based on the target defect waveform filtered out, judges the Level belonging to current defect of described Railway wheelset defective locations.
Alarm module, for work as judged Level show that the reflex amplitude of described Railway wheelset is not less than first threshold time, export corresponding warning message.
Visible, in the present embodiment practical application, when the Railway wheelset defect determined is not serious, when namely not affecting safe train operation, can temporarily not process it; And when it has influence on train operating safety, just need to process it immediately, so, now inform that the major defect of staff to Railway wheelset processes by output alarm information.
Based on this, this device can also comprise: defect reminding module, for the information of output packet containing described Railway wheelset defective locations.
In addition, conveniently staff processes Railway wheelset defective locations, or as the reference of Railway wheelset carrying out flaw detection from now on, Railway wheelset failure detector provided by the invention can also comprise:
Report output module, for based on the flaw detection data after described encapsulation and described Railway wheelset defective locations, output train wheel is to defect report.
Wherein, this Railway wheelset defect report can comprise: the velocity information of train model, coach number, train belonging to the Railway wheelset of existing defects, the detection time and this target defect waveform etc. of detection target defect waveform, the present invention does not do concrete restriction to this.
In addition, it should be noted that, about in the various embodiments described above, the such as relational terms of first, second grade and so on is only used for an operation or unit and another operates or cellular zone separates, and not necessarily requires or imply the relation or order that there is any this reality between these unit or operation.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.For device disclosed in embodiment, because it is corresponding with method disclosed in embodiment, so description is fairly simple, relevant part illustrates see method part.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (10)
1. a Railway wheelset method for detection fault detection, is characterized in that, described method comprises:
From the data plot spectrum information of the flaw detection extracting data Railway wheelset after the encapsulation obtained, described flaw detection data are detecting that Railway wheelset obtains through flaw detection equipment;
Resolve described data plot spectrum information, the reflex amplitude obtaining described Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform;
Filter out the initial imperfection waveform of carrying out flaw detection parts acquisition working properly as target defect waveform, described carrying out flaw detection parts belong to described flaw detection equipment;
Based on the incidence relation of the flaw detection data reflected waves after described encapsulation and Railway wheelset information, obtain the Railway wheelset defective locations corresponding with described target defect waveform.
2. method according to claim 1, is characterized in that, before the data plot spectrum information from the flaw detection extracting data Railway wheelset after the encapsulation obtained, described method also comprises:
Detect that Railway wheelset is through flaw detection equipment, obtain the flaw detection data of described Railway wheelset;
According to default classifying rules, described flaw detection data are saved as multiple independent data file;
Based on the relation between described multiple independent data file, described flaw detection data are encapsulated.
3. method according to claim 2, it is characterized in that, when described flaw detection data comprise: when velocity information, trigger message, grouping information, ultrasonic probe layout information and ultrasound data, described based on the relation between described multiple independent data file, encapsulation is carried out to described flaw detection data and comprises:
Obtain the information of vehicles of each train in described grouping information;
Based on described ultrasonic probe layout information and described information of vehicles, set up each data storage file of taking turns flaw detection data;
According to described trigger message and described velocity information, calculate the first quantity of every ultrasonic probe collection ultrasound data in described flaw detection equipment;
Based on described first quantity and described ultrasonic probe layout information, extract first ultrasound data corresponding with every ultrasonic probe successively from each wheel right ultrasound data;
From described first ultrasound data, screening meets at least three A total numbers of the first preset requirement according to being saved in corresponding data storage file, until the A total number in described data storage file is according to when reaching the first predetermined number, described data storage file is stored as the flaw detection data file after encapsulation.
4. the method according to right 1-3 any one, is characterized in that, described method also comprises:
Based on the target defect waveform filtered out, judge the Level belonging to current defect of described Railway wheelset defective locations;
When judged Level shows that the reflex amplitude of described Railway wheelset is not less than first threshold, export corresponding warning message.
5. the method according to claim 1-3 any one, is characterized in that, described method also comprises:
Based on the flaw detection data after described encapsulation and described Railway wheelset defective locations, output train wheel is to defect report.
6. the method according to claim 1-3 any one, is characterized in that, after obtaining the Railway wheelset defective locations corresponding with described target defect waveform, described method also comprises:
Output packet is containing the information of described Railway wheelset defective locations.
7. a Railway wheelset carrying out flaw detection device, is characterized in that, described device comprises:
Extraction module, for the data plot spectrum information from the flaw detection extracting data Railway wheelset after the encapsulation obtained, described flaw detection data are detecting that Railway wheelset obtains through flaw detection equipment;
Parsing module, for resolving described data plot spectrum information, the reflex amplitude obtaining described Railway wheelset is not less than the reflection wave of first threshold as initial imperfection waveform;
Screening module, for filtering out the initial imperfection waveform of carrying out flaw detection parts acquisition working properly as target defect waveform, described carrying out flaw detection parts belong to described flaw detection equipment;
Defective locations acquisition module, for the incidence relation based on the flaw detection data reflected waves after described encapsulation and Railway wheelset information, obtains the Railway wheelset defective locations corresponding with described target defect waveform.
8. device according to claim 7, is characterized in that, described device also comprises:
Detection module, for detecting that Railway wheelset is through flaw detection equipment, obtains the flaw detection data of described Railway wheelset;
Described flaw detection data, for according to default classifying rules, are saved as multiple independent data file by memory module;
Package module, for based on the relation between described multiple independent data file, encapsulates described flaw detection data.
9. device according to claim 8, is characterized in that, when described flaw detection data comprise: when velocity information, trigger message, grouping information, ultrasonic probe layout information and ultrasound data, described packaging system comprises:
Acquiring unit, for obtaining the information of vehicles of each train in described grouping information;
Construction unit, for based on described ultrasonic probe layout information and described information of vehicles, sets up each data storage file of taking turns flaw detection data;
Computing unit, for according to described trigger message and described velocity information, calculates the first quantity of every ultrasonic probe collection ultrasound data in described flaw detection equipment;
Extraction unit, for based on described first quantity and described ultrasonic probe layout information, extracts first ultrasound data corresponding with every ultrasonic probe successively from each wheel right ultrasound data;
Storage unit, at least three A total numbers of the first preset requirement are met according to being saved in corresponding data storage file for screening from described first ultrasound data, until the A total number in described data storage file is according to when reaching the first predetermined number, described data storage file is stored as the flaw detection data file after encapsulation.
10. the device according to claim 7-9 any one, is characterized in that, described device also comprises:
Determination module, for based on the target defect waveform filtered out, judges the Level belonging to current defect of described Railway wheelset defective locations;
Alarm module, for work as judged Level show that the reflex amplitude of described Railway wheelset is not less than first threshold time, export corresponding warning message.
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Cited By (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 |
| CN109272504A (en) * | 2018-10-17 | 2019-01-25 | 广汽丰田汽车有限公司 | The detection of vehicle bumps defect, retroactive method, apparatus and system |
Citations (5)
| 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 |
| US20070100623A1 (en) * | 2004-05-13 | 2007-05-03 | Dieter Hentschel | Device and Method for Assessing a Quality Class of an Object to be Tested |
| 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 |
-
2015
- 2015-12-01 CN CN201510867386.0A patent/CN105277622B/en active Active
Patent Citations (5)
| 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 |
| US20070100623A1 (en) * | 2004-05-13 | 2007-05-03 | Dieter Hentschel | Device and Method for Assessing a Quality Class of an Object to be Tested |
| 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 |
|---|
| 王驰等: "多轮对跟随式探伤系统设计", 《应用案例》 * |
Cited By (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 |
| CN109272504A (en) * | 2018-10-17 | 2019-01-25 | 广汽丰田汽车有限公司 | The detection of vehicle bumps defect, retroactive method, apparatus and system |
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|---|---|
| CN105277622B (en) | 2018-03-23 |
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