CN105277622B - A kind of Railway wheelset method for detection fault detection and device - Google Patents

Abstract

This application provides a method and device for flaw detection of a train wheel set. By extracting the data map information of the train wheel set from the packaged flaw detection data, and analyzing the data map information, the reflected wave amplitude of the train wheel set is obtained. The reflected wave not less than the first threshold is used as the initial defect waveform, and then the initial defect waveform obtained by screening out the normal flaw detection components from the initial defect waveform is used as the target defect waveform, so as to eliminate the abnormality of the flaw detection component. For the initial defect waveform whose reflected wave amplitude is too high, it is ensured that the position of the train wheel set corresponding to the target defect waveform obtained based on the correlation between the reflected wave and the train wheel set information is the real defect position. It can be seen that the present invention realizes the analysis of flaw detection data collected and packaged online at high speed, and timely and accurately determines the defect position of the train wheel set, thereby ensuring the safety and reliability of the train operation.

Description

Method and device for flaw detection of train wheelset

technical field

The invention relates to the technical field of wheel set flaw detection, and more specifically relates to a method and device for flaw detection of a train wheel set.

Background technique

In recent years, with the rapid development of my country's economy, the speed of railway trains has gradually increased, and the impact on train wheels has also increased. Whether the train wheels can work normally is one of the major hidden dangers that endanger the safety of railway transportation. 1. Therefore, the safety inspection of train wheel sets has become an important link in railway inspection.

At present, railway departments often use non-destructive testing technology to realize wheel set inspection, mainly to apply this non-destructive testing technology to wheel set flaw detection to solve the problem of real-time detection of wheel set defects. Non-destructive testing method is the most widely used non-destructive testing technology today. It transmits ultrasonic waves to the inspected part through the transmitting probe, and then receives the ultrasonic wave reflected from the interface or the transmitted wave after passing through the inspected part by the receiving probe. Inspect spare parts for defects.

However, the applicant found that the existing train wheel set flaw detection method usually uses an ultrasonic flaw detection device to complete the detection of the train when the train needs to be overhauled, which has a certain lag and cannot timely and accurately determine the train wheel set. These defects affect the safety and reliability of train operation.

Contents of the invention

In view of this, the present invention provides a method and device for flaw detection of a train wheel set, which realizes the analysis of flaw detection data collected and packaged online at high speed, and timely and accurately determines the defect position of the train wheel set, thus ensuring the smooth operation of the train. Safety and reliability.

In order to achieve the above object, the application provides the following technical solutions:

A method for flaw detection of a train wheel set, the method comprising:

Extracting the data map information of the train wheelset from the obtained encapsulated flaw detection data, the flaw detection data is acquired when it is detected that the train wheelset passes through the flaw detection equipment;

Analyzing the data map information to obtain the reflected wave whose amplitude of the reflected wave of the train wheelset is not less than the first threshold value as the initial defect waveform;

Screening out the initial defect waveform obtained by the normal flaw detection component as the target defect waveform, the flaw detection component belonging to the flaw detection equipment;

Based on the association relationship between reflected waves in the encapsulated flaw detection data and train wheel set information, the train wheel set defect position corresponding to the target defect waveform is obtained.

Preferably, before extracting the data map information of the train wheelset from the obtained packaged flaw detection data, the method further includes:

When it is detected that the wheelset of the train passes through the flaw detection equipment, the flaw detection data of the wheelset of the train is obtained;

saving the flaw detection data as a plurality of separate data files according to preset classification rules;

The flaw detection data is packaged based on the relationships between the plurality of individual data files.

Preferably, when the flaw detection data includes: speed information, trigger information, grouping information, ultrasonic probe layout information, and ultrasonic data, the flaw detection data is processed based on the relationship between the multiple individual data files. Package includes:

Obtain the vehicle information of each train in the formation information;

Based on the layout information of the ultrasonic probe and the vehicle information, a data storage file of flaw detection data for each wheel set is established;

calculating a first quantity of ultrasonic data collected by each ultrasonic probe in the flaw detection device according to the trigger information and the speed information;

Based on the first number and the layout information of the ultrasonic probes, sequentially extracting first ultrasonic data corresponding to each ultrasonic probe from the ultrasonic data of each wheel set;

Select at least three A-scan data that meet the first preset requirements from the first ultrasound data and save them to the corresponding data storage file until the A-scan data in the data storage file reaches the first preset number, then The data storage file is stored as an encapsulated flaw detection data file.

Preferably, the method also includes:

Based on the screened target defect waveform, determine the defect level to which the current defect at the defect position of the train wheelset belongs;

When the determined defect level indicates that the reflected wave amplitude of the train wheel set is not less than the first threshold, corresponding alarm information is output.

Preferably, the method also includes:

A train wheel set defect report is output based on the packaged flaw detection data and the position of the train wheel set defect.

Preferably, after obtaining the defect position of the train wheel set corresponding to the target defect waveform, the method further includes:

Prompt information including the position of the defect of the train wheel set is output.

A flaw detection device for a train wheel set, said device comprising:

The extraction module is used to extract the data map information of the train wheel set from the obtained packaged flaw detection data, and the flaw detection data is obtained when it is detected that the train wheel set passes through the flaw detection equipment;

An analysis module, configured to analyze the data map information, and obtain the reflected wave whose amplitude of the reflected wave of the train wheel set is not less than the first threshold as the initial defect waveform;

A screening module, configured to screen out initial defect waveforms obtained by flaw detection components that work normally as target defect waveforms, and the flaw detection components belong to the flaw detection equipment;

The defect position acquisition module is used to obtain the defect position of the train wheel set corresponding to the target defect waveform based on the correlation relationship between the reflected wave and the train wheel set information in the encapsulated flaw detection data.

Preferably, the device also includes:

The detection module is used to obtain the flaw detection data of the train wheel set when detecting that the train wheel set passes through the flaw detection equipment;

A storage module, configured to save the flaw detection data as a plurality of separate data files according to preset classification rules;

The encapsulation module is used for encapsulating the flaw detection data based on the relationships among the plurality of individual data files.

Preferably, when the flaw detection data includes: speed information, trigger information, grouping information, ultrasonic probe layout information and ultrasonic data, the packaging device includes:

An acquisition unit, configured to acquire the vehicle information of each train in the formation information;

A construction unit, configured to create a data storage file of flaw detection data for each wheel set based on the layout information of the ultrasonic probe and the vehicle information;

A calculation unit, configured to calculate the first quantity of ultrasonic data collected by each ultrasonic probe in the flaw detection device according to the trigger information and the speed information;

An extraction unit, configured to sequentially extract first ultrasonic data corresponding to each ultrasonic probe from the ultrasonic data of each wheel set based on the first number and the ultrasonic probe layout information;

A storage unit, configured to select at least three A-scan data that meet the first preset requirement from the first ultrasound data and save them to the corresponding data storage file until the A-scan data in the data storage file reaches the first preset requirement. When the quantity is set, the data storage file is stored as a packaged flaw detection data file.

Preferably, the device also includes:

A determination module, configured to determine the defect level to which the current defect at the defect position of the train wheel set belongs based on the screened target defect waveform;

The alarm module is configured to output corresponding alarm information when the determined defect level indicates that the reflected wave amplitude of the train wheelset is not less than the first threshold.

It can be seen that, compared with the prior art, the present application provides a method and device for flaw detection of train wheelsets. The rule encapsulates it, and when it is necessary to determine the defect position of the train wheel set, the data map information of the train wheel set is extracted from the packaged flaw detection data, and the reflected wave amplitude of the train wheel set is obtained by analyzing the data map information The reflected wave not less than the first threshold is used as the initial defect waveform, and then the initial defect waveform obtained by screening out the normal flaw detection components from the initial defect waveform is used as the target defect waveform, so as to eliminate the abnormality of the flaw detection component. For the initial defect waveform whose reflected wave amplitude is too high, it is ensured that the position of the train wheel set corresponding to the target defect waveform obtained based on the correlation between the reflected wave and the train wheel set information is the real defect position. It can be seen that the present invention realizes the analysis of flaw detection data collected and packaged online at high speed, and timely and accurately determines the defect position of the train wheel set, thus ensuring the safety and reliability of the train operation.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

Fig. 1 is a schematic flow chart of an embodiment of a train wheel flaw detection method provided by the present invention;

Fig. 2 is a partial flow diagram of another embodiment of a train wheel flaw detection method provided by the present invention;

Fig. 3 is a partial flowchart of another embodiment of a train wheel flaw detection method provided by the present invention;

Fig. 4 is a structural schematic diagram of an embodiment of a train wheel flaw detection device provided by the present invention;

Fig. 5 is a partial structural schematic diagram of another embodiment of a flaw detection device for a train wheel set provided by the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

This application provides a method and device for flaw detection of a train wheel set. When it is detected that the train wheel set has passed the flaw detection equipment, the flaw detection data of the train wheel set is obtained and packaged according to certain rules. When it is necessary to determine the flaw detection data of the train wheel set When detecting the defect position, extract the data map information of the train wheel set from the encapsulated flaw detection data, and analyze the data map information to obtain the reflected wave whose reflected wave amplitude of the train wheel set is not less than the first threshold value as the initial defect Afterwards, the initial defect waveform obtained by screening out the normal flaw detection components from the initial defect waveform is used as the target defect waveform, so as to eliminate the initial defect waveform of the train wheel set whose reflected wave amplitude is too high due to the abnormality of the flaw detection component , to ensure that the position of the train wheel set corresponding to the target defect waveform obtained based on the correlation between the reflected wave and the train wheel set information is the real defect position. It can be seen that the present invention realizes the analysis of flaw detection data collected and packaged online at high speed, and timely and accurately determines the defect position of the train wheel set, thus ensuring the safety and reliability of the train operation.

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

Referring to the schematic flow chart of an embodiment of a train wheel flaw detection method provided by the present invention shown in Fig. 1, the method may specifically include the following steps:

Step S110: Extracting the data map information of the train wheelset from the acquired packaged flaw detection data.

Wherein, the flaw detection data is obtained when it is detected that the train wheel set passes through the flaw detection equipment. The flaw detection equipment may specifically be ultrasonic flaw detection equipment, and its specific composition and structure may refer to existing ultrasonic flaw detection equipment. This will not be described in detail.

The applicant found that since this embodiment adopts the ultrasonic flaw detection technology, after the transmitting end of the ultrasonic probe transmits ultrasonic waves to the train wheels, if there is a defect in the train wheels, the reflection of the train wheels received by the ultrasonic probe receiving end will be Therefore, this embodiment will analyze the data map information of the train wheel set in the packaged flaw detection data to determine whether the train wheel set has defects. The specific determination process can refer to the following steps.

Optionally, before step S110 in this embodiment, as shown in FIG. 2, the detection method may further include:

Step S111: When it is detected that the train wheel set passes the flaw detection equipment, acquire the flaw detection data of the train wheel set.

In this embodiment, the wheel set of the running train is monitored in real time, so that defects of the wheel set of the running train can be found in time and dealt with in time, so as to ensure the safe and reliable operation of the train.

Wherein, the flaw detection data may include: speed information, trigger information, grouping information, ultrasonic probe layout information, ultrasonic data, etc., which are not specifically limited in this embodiment.

In addition, it should be noted that for the online high-speed collection of flaw detection data of train wheels, it is usually packaged after a train pass, so as to avoid the accumulation of collected data and ensure that the ultrasonic detection device works normally and efficiently. The specific encapsulation method is as follows, and the data collection method of the passing train by the ultrasonic detection equipment is similar to the ultrasonic detection technology in the prior art, and those skilled in the art can make appropriate adjustments according to actual needs. The specific method process is described in this embodiment. This will not be described in detail.

Step S112: Save the flaw detection data as a plurality of separate data files according to preset classification rules.

Based on the above analysis, it can be seen that the flaw detection data contains multiple types of data. Therefore, in order to facilitate subsequent retrieval of required types of data and improve data processing efficiency, this embodiment divides the acquired flaw detection data into multiple types according to the preset classification rules. Separate data files are temporarily saved, wherein each data file contains only one type of data.

For example, for the centralized flaw detection data given above, specifically, the obtained speed information of passing trains can be stored as the first data file, and the obtained trigger information (such as the data collection frequency of the ultrasonic probe, etc., but not limited to This) is temporarily saved as the second data file; will obtain marshalling information (such as information such as train type, carriage number, wheel pair number, warehousing terminal position, wheel diameter, but not limited to this) temporarily saved as the third data file ; The ultrasonic probe layout information that will be acquired (that is, the positional relationship of the ultrasonic probe on the rail is the interval distance, the collection angle that each ultrasonic probe is set according to the different positions of the collection wheels, etc., but not limited to this,) temporarily Preserve as the 4th data file; The ultrasonic data (that is wheel set profile and inside distance, tread defect, wheel out-of-roundness etc.) of each wheel pair that will gather, but not limited to this, it can according to actual needs The flaw detection data determined, this embodiment will not list them one by one here) is temporarily saved as the fifth data file.

Optionally, according to actual needs, the train running speed can also be divided into intervals in advance, and according to the division rules, the speed information belonging to the same speed interval can be temporarily saved as a data file; and the ultrasonic data of each wheel set can be saved separately as a data file. It should be noted that the temporary storage of flaw detection data in the present invention is not limited to the methods described above, as long as it is not determined by those skilled in the art with creative efforts, it falls within the protection scope of the present invention.

In addition, with regard to the above-mentioned separately saved data files, after completing the packaging of the flaw detection data collected by a vehicle pass, they can be deleted directly, thereby reducing its occupation of system resources and avoiding the impact of data file accumulation on the work of the detection device .

Step S113: Encapsulate the flaw detection data based on the relationships among the multiple individual data files.

In this embodiment, the various types of data included in the flaw detection data of the acquired train wheel set actually have a certain relationship, such as position relationship, attribute relationship, inclusion relationship, relationship with the same detection object, etc. The implementation will not be listed one by one here. Therefore, this embodiment can complete the packaging of the flaw detection data of the train wheel set based on the association relationship between these data, and search for the required data based on the association relationship.

As another embodiment of the present invention, regarding the process of encapsulating flaw detection data, reference may be made to a schematic flowchart of a partial flow chart of an embodiment of a train wheel flaw detection method provided by the present invention shown in FIG. 3 , and the method may specifically include:

Step S301: Obtain the vehicle information of each train in the formation information.

For the content contained in the grouping information, reference may be made to the grouping information in the prior art in the art, which will not be described in detail in this embodiment. The specific content contained in the vehicle information can be determined according to subsequent data packaging needs, such as the number of carriages, the number of axles, the end position of storage, the diameter of the wheel, etc., which is not specifically limited in the present invention.

Step S302: Based on the ultrasonic probe layout information and the vehicle information, create a data storage file of flaw detection data for each wheel set.

Among them, the ultrasonic probe layout information is the position layout of the ultrasonic probe installation on the railway, which is used to detect the position or angle of the train wheel set and other information, so as to ensure that the data collected based on the ultrasonic probe can be timely, accurately and comprehensively Detects defects in train wheelsets.

Step S303: According to the trigger information and the speed information, calculate the first quantity of ultrasonic data collected by each ultrasonic probe in the flaw detection equipment.

In the practical application of this embodiment, for the flaw detection data of each wheel set, it can be based on the collection frequency of the ultrasonic probe used to collect the flaw detection data of the wheel set, the passing speed and the distance between two adjacent ultrasonic probes. Calculate the number of ultrasonic data collected by each ultrasonic probe in this passing vehicle.

It should be noted that the present invention is not limited to the above method of determining which ultrasonic data is collected by each probe, as long as it is not determined by those skilled in the art with creative efforts, it falls within the protection scope of the present invention.

Step S304: Based on the first number and the layout information of the ultrasonic probes, sequentially extract the first ultrasonic data corresponding to each ultrasonic probe from the ultrasonic data of each wheel set.

Wherein, since each ultrasonic probe collects the obtained ultrasonic data storage sequence of the train wheel pair is known, therefore, according to this order, based on the first number of ultrasonic data collected by each ultrasonic probe, the ultrasonic data of each wheel pair can be stored. The data is divided, that is, to determine which ultrasonic data is collected by which ultrasonic probe, so that after the subsequent determination of the abnormality of the ultrasonic data, the specific location of the defect of the wheel set can be determined based on the ultrasonic probe that collected the abnormal data.

Step S305: Select at least three A-scan data that meet the first preset requirement from the first ultrasound data and save them to the corresponding data storage file until the A-scan data in the data storage file reaches the first preset number , store the data storage file as a packaged flaw detection data file.

Since in the actual data detection, not all the detected data are valid data, and in the subsequent further analysis, several valid data often play a role. Therefore, this embodiment only collects the first data from each ultrasonic probe. At least three good A-scan data are screened out from the ultrasound data and packaged.

Optionally, in order to improve the efficiency of flaw detection, three better A-scan data can be directly screened out from the ultrasonic data collected by each ultrasonic probe, but it is not limited thereto.

Based on the above analysis, it can be seen that this embodiment classifies and saves the first flaw detection data collected online at high speed into multiple separate data files. The corresponding relationship between the ultrasonic data of the wheel set and each ultrasonic probe, and then screen out at least three good A-scan data from the ultrasonic data collected by each ultrasonic probe, and store them in the corresponding pre-established flaw detection data storage file. The encapsulated data is encapsulated and stored for subsequent analysis, thereby avoiding the adverse effect of the accumulation of online flaw detection data on the normal operation of the ultrasonic flaw detection device and ensuring the safe operation of the train.

Step S120: Analyzing the data atlas information to obtain a reflected wave whose amplitude of the reflected wave of the train wheelset is not less than a first threshold value as an initial defect waveform.

After research, it is found that the waveform of the reflected wave of a defective train wheel set often changes abruptly, and even some parts that should not have reflected waves will also detect reflected waves due to their defects. Therefore, in this embodiment, by analyzing the acquired data map information, the reflected wave waveform and its amplitude of each train wheel pair are obtained. , the first threshold can be determined according to the waveform amplitude of the reflected wave of the train wheel to the place when it is normal, and the present invention does not limit its specific value), then it is preliminarily determined that there may be a defect in this place.

Step S130: Screen out the initial defect waveforms obtained by flaw detection components that work normally as target defect waveforms.

Wherein, the flaw detection component belongs to the flaw detection equipment, specifically, it may be an ultrasonic probe, an acquisition card, etc., which is not specifically limited in the present invention.

In practical application, the applicant found that if the flaw detection component is faulty, the waveform amplitude of the reflected wave of the train wheel set is usually too high, but in fact, the position of the train wheel set corresponding to the defect waveform does not have a defect.

Therefore, in order to avoid misjudgment of wheel set defects, this embodiment further screens the initial defect waveforms that may have wheel set defects, that is, to determine whether the flaw detection components that collect or transmit the above initial defect waveforms are abnormal. , then this part of the initial defect waveform is not the real defect waveform, and the real cause of the defect waveform needs to be further detected.

Specifically, it can be judged whether there is a defect waveform in the reflected waves collected by other ultrasonic probes corresponding to the wheel set position corresponding to the defect waveform. If they all exist, it is determined that there is indeed a defect at the wheel set position. There is no defect in the position of the wheel set. Of course, other methods can also be used for further judgment. The present invention is not limited to this method. As long as it is not determined by those skilled in the art with creative work, it belongs to the present invention protected range.

When the flaw detection components that collect or transmit the above-mentioned initial defect waveform are all normal, it is determined that the defect waveform is caused by a wheel set defect, and this part of the initial defect waveform is the real defect waveform, that is, the target defect waveform.

Step S140: Based on the relationship between the reflected wave in the encapsulated flaw detection data and the train wheel set information, obtain the defect position of the train wheel set corresponding to the target defect waveform.

Based on the above analysis, it can be seen that when the acquired wheel set flaw detection data is packaged, the position of the train wheel set detected by each ultrasonic probe, the obtained ultrasonic data, and information such as the train model and carriage number to which the train wheel set belongs are all related. , after determining the real defect waveform, the defect position of the train wheel set corresponding to the defect waveform can be determined according to these known correlations, so as to deal with the defect position in time.

Optionally, on the basis of the above-mentioned embodiments, the train wheelset detection method provided by the present invention may also include:

Based on the screened target defect waveform, determine the defect level of the current defect at the defect position of the train wheel set; when the determined defect level indicates that the reflected wave amplitude of the train wheel set is not less than the first threshold, output the corresponding Alarm information, that is to say, when the flaw detection component is working normally, when it is determined that the reflected wave amplitude of the train wheel set is not less than the first threshold, if the data map information of the train wheel set does not meet the preset waveform characteristics, it can be output The first alarm message is to prompt the staff to track and control the train wheelset corresponding to the data map at this time; if the data map information of the train wheelset meets the preset waveform characteristics, the second alarm message can be output to remind the staff At this time, it is necessary to recheck and judge the train wheelset corresponding to the data map, so as to ensure the safe operation of the train.

Among them, the first threshold can be determined according to the different types of wheels used by different types of trains, and the current load of the train and other information to determine the minimum requirements that can ensure the safe and reliable running of the train. The present invention does not limit its specific content; Suppose the waveform feature can refer to the presence of echo in the reflected wave, or, when the ultrasonic probe in the flaw detection device is a straight probe, there is a secondary oscillation reflected wave in the data map information of the train wheel set collected by the straight probe, but it does not It is not limited to this.

In addition, the alarm information may specifically be indicator light flashing information, buzzer alarm information or voice broadcast information, etc., which is not specifically limited in the present invention.

As yet another embodiment of the present invention, after the position of the defect of the train wheel set is determined, a report of the defect of the train wheel set may also be output based on the packaged flaw detection data and the position of the defect of the train wheel set for the reference of the processing personnel.

Wherein, the defect report of the train wheelset may include: the train model of the defective train wheelset, the car number, the speed information of the train, the detection time of the detected target defect waveform and the target defect waveform, etc. limited.

In addition, after determining the defect position of the train wheel set, in order to remind the staff as soon as possible, it can also output prompt information containing the defect position of the train wheel set. Preferably, the prompt information can be voice prompt information, but it is not limited to this.

To sum up, when it is detected that the train wheel set has passed the flaw detection equipment, the flaw detection data of the train wheel set is obtained, and after it is packaged according to certain rules, when it is necessary to determine the defect position of the train wheel set, this embodiment starts from The data map information of the train wheel set is extracted from the packaged flaw detection data, and by analyzing the data map information, the reflected wave whose reflected wave amplitude of the train wheel set is not less than the first threshold is obtained as the initial defect waveform. From the initial defect waveform, the initial defect waveform obtained by the flaw detection components that are working normally is selected as the target defect waveform, so as to eliminate the initial defect waveform that has too high amplitude of the reflected wave of the train wheel set due to the abnormality of the flaw detection component, and ensure that based on the reflected wave and the The correlation relationship of the train wheel set information, the obtained target defect waveform corresponding to the train wheel set position is the real defect position. It can be seen that the present invention realizes the analysis of flaw detection data collected and packaged online at high speed, and timely and accurately determines the defect position of the train wheel set, thus ensuring the safety and reliability of the train operation.

Referring to the schematic structural diagram of an embodiment of a train wheel flaw detection device of the present invention shown in Figure 4, the device may specifically include:

The extraction module 410 is configured to extract the data map information of the train wheelset from the acquired packaged flaw detection data.

Wherein, the flaw detection data is obtained when it is detected that the train wheel set passes the flaw detection equipment, and the flaw detection data may specifically include: speed information, trigger information, marshalling information, ultrasonic probe layout information, ultrasonic data, etc., but not limited to this.

Based on this, in the practical application of the present invention, the detection device may also include:

The detection module is configured to acquire the flaw detection data of the train wheel set when it is detected that the train wheel set passes the flaw detection device.

The storage module is configured to save the flaw detection data as a plurality of individual data files according to preset classification rules.

In the actual application of this embodiment, in each passing process, the first flaw detection data collected online can be temporarily saved as multiple data files according to the preset data classification rules, which facilitates the subsequent analysis of the required types. The rapid acquisition of data reduces the workload of subsequent data analysis.

The encapsulation module is used for encapsulating the flaw detection data based on the relationships among the plurality of individual data files.

In this embodiment, the flaw detection data collected online at high speed is packaged and stored in time, thereby avoiding the accumulation of flaw detection data collected online, ensuring the normal operation of the ultrasonic flaw detection device, and thus ensuring the safe operation of the train.

As another embodiment of the present invention, as shown in FIG. 5, the encapsulation module may specifically include:

The acquiring unit 501 is configured to acquire the vehicle information of each train in the formation information.

Wherein, the vehicle information may specifically include: the number of carriages, the number of axles, the storage end position, the wheel diameter, etc., which are not specifically limited in the present invention.

A construction unit 502, configured to create a data storage file of flaw detection data for each wheel set based on the ultrasonic probe layout information and the vehicle information;

A calculation unit 503, configured to calculate the first quantity of ultrasonic data collected by each ultrasonic probe in the flaw detection device according to the trigger information and the speed information;

An extraction unit 504, configured to sequentially extract the first ultrasonic data corresponding to each ultrasonic probe from the ultrasonic data of each wheel set based on the first number and the ultrasonic probe layout information;

The storage unit 505 is configured to select at least three A-scan data that meet the first preset requirement from the first ultrasound data and save them to the corresponding data storage file until the A-scan data in the data storage file reaches the first When the number is preset, the data storage file is stored as an encapsulated flaw detection data file.

The analysis module 420 is configured to analyze the data map information, and obtain the reflected wave whose amplitude of the reflected wave of the train wheel set is not less than the first threshold as the initial defect waveform.

The screening module 430 is configured to screen out the initial defect waveforms obtained by flaw detection components that work normally as target defect waveforms.

Wherein, the flaw detection component belongs to the flaw detection equipment, specifically, it may be an ultrasonic probe, various boards, etc., which is not specifically limited in the present invention.

The defect position acquisition module 440 is configured to obtain the defect position of the train wheel set corresponding to the target defect waveform based on the association relationship between the reflected wave and the train wheel set information in the encapsulated flaw detection data.

Based on the above analysis, it can be seen that when it is detected that the train wheelset passes through the flaw detection equipment, the flaw detection data of the train wheelset is obtained, and after it is packaged according to certain rules, when it is necessary to determine the defect position of the train wheelset, this embodiment starts from The data map information of the train wheel set is extracted from the packaged flaw detection data, and by analyzing the data map information, the reflected wave whose reflected wave amplitude of the train wheel set is not less than the first threshold is obtained as the initial defect waveform. From the initial defect waveform, the initial defect waveform obtained by the flaw detection components that are working normally is selected as the target defect waveform, so as to eliminate the initial defect waveform that has too high amplitude of the reflected wave of the train wheel set due to the abnormality of the flaw detection component, and ensure that based on the reflected wave and the The relationship between the train wheel set information and the position of the train wheel set corresponding to the target defect waveform obtained is the real defect position. It can be seen that this embodiment realizes the analysis of the flaw detection data collected and packaged online at high speed, and timely and accurately determines The defect position of the train wheel set ensures the safety and reliability of the train operation.

Optionally, on the basis of the above-mentioned embodiments, the train wheelset flaw detection device may also include:

The determination module is configured to determine the defect level to which the current defect at the defect position of the train wheel set belongs based on the screened target defect waveform.

The alarm module is configured to output corresponding alarm information when the determined defect level indicates that the reflected wave amplitude of the train wheelset is not less than the first threshold.

It can be seen that in the practical application of this embodiment, when the determined train wheelset defect is not serious, that is, when it does not affect the safe operation of the train, it may not be processed temporarily; and when it affects the safety of the train operation, it needs to be processed immediately. Therefore, at this time, the staff can be notified by outputting alarm information to deal with the serious defects of the train wheel set.

Based on this, the device may further include: a defect prompt module, configured to output prompt information including the position of the defect of the train wheel set.

In addition, in order to facilitate the staff to process the defect position of the train wheel set, or as a reference for future train wheel set flaw detection, the train wheel set flaw detection device provided by the present invention may also include:

The report output module is configured to output a train wheel set defect report based on the encapsulated flaw detection data and the position of the train wheel set defect.

Wherein, the defect report of the train wheelset may include: the train model of the defective train wheelset, the car number, the speed information of the train, the detection time of the detected target defect waveform and the target defect waveform, etc. limited.

In addition, it should be noted that, with respect to the above-mentioned embodiments, relative terms such as first, second, etc. are only used to distinguish one operation or unit from another operation or unit, and do not necessarily require or imply There may be no such actual relationship or order between these units or operations.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for relevant details, please refer to the description of the method part.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (6)

1. A train wheel pair flaw detection detection method, is characterized in that, described method comprises: When it is detected that the wheelset of the train passes through the flaw detection equipment, the flaw detection data of the wheelset of the train is obtained; saving the flaw detection data as a plurality of separate data files according to preset classification rules; Encapsulating the flaw detection data based on the relationship between the plurality of individual data files; Extracting the data map information of the train wheelset from the obtained encapsulated flaw detection data, the flaw detection data is acquired when it is detected that the train wheelset passes through the flaw detection equipment; Analyzing the data map information to obtain the reflected wave whose amplitude of the reflected wave of the train wheelset is not less than the first threshold value as the initial defect waveform; Screening out the initial defect waveform obtained by the normal flaw detection component as the target defect waveform, the flaw detection component belonging to the flaw detection equipment; Based on the relationship between reflected waves in the encapsulated flaw detection data and information on train wheelsets, a defect position of the train wheelset corresponding to the target defect waveform is obtained; Wherein, when the flaw detection data includes: speed information, trigger information, grouping information, ultrasonic probe layout information and ultrasonic data, the flaw detection data is packaged based on the relationship between the multiple individual data files include: Obtain the vehicle information of each train in the formation information; Based on the layout information of the ultrasonic probe and the vehicle information, a data storage file of flaw detection data for each wheel set is established; calculating a first quantity of ultrasonic data collected by each ultrasonic probe in the flaw detection device according to the trigger information and the speed information; Based on the first number and the layout information of the ultrasonic probes, sequentially extracting first ultrasonic data corresponding to each ultrasonic probe from the ultrasonic data of each wheel set; Select at least three A-scan data that meet the first preset requirements from the first ultrasound data and save them to the corresponding data storage file until the A-scan data in the data storage file reaches the first preset number, then The data storage file is stored as an encapsulated flaw detection data file. 2. The method according to claim 1, wherein the method further comprises: Based on the screened target defect waveform, determine the defect level to which the current defect at the defect position of the train wheelset belongs; When the determined defect level indicates that the reflected wave amplitude of the train wheel set is not less than the first threshold, corresponding alarm information is output. 3. The method according to claim 1, characterized in that the method further comprises: A train wheel set defect report is output based on the packaged flaw detection data and the position of the train wheel set defect. 4. The method according to claim 1, characterized in that, after obtaining the train wheelset defect position corresponding to the target defect waveform, the method further comprises: Prompt information including the position of the defect of the train wheel set is output. 5. A train wheelset flaw detection device, characterized in that the device comprises: The detection module is used to obtain the flaw detection data of the train wheel set when detecting that the train wheel set passes through the flaw detection equipment; A storage module, configured to save the flaw detection data as a plurality of separate data files according to preset classification rules; An encapsulation module, configured to encapsulate the flaw detection data based on the relationship between the plurality of individual data files; The extraction module is used to extract the data map information of the train wheel set from the obtained packaged flaw detection data, and the flaw detection data is obtained when it is detected that the train wheel set passes through the flaw detection equipment; An analysis module, configured to analyze the data map information, and obtain the reflected wave whose amplitude of the reflected wave of the train wheel set is not less than the first threshold as the initial defect waveform; A screening module, configured to screen out initial defect waveforms obtained by flaw detection components that work normally as target defect waveforms, and the flaw detection components belong to the flaw detection equipment; A defect position acquisition module, configured to obtain the defect position of the train wheel set corresponding to the target defect waveform based on the relationship between the reflected wave in the encapsulated flaw detection data and the train wheel set information; Wherein, when the flaw detection data includes: speed information, trigger information, grouping information, ultrasonic probe layout information and ultrasonic data, the packaging device includes: An acquisition unit, configured to acquire the vehicle information of each train in the formation information; A construction unit, configured to create a data storage file of flaw detection data for each wheel set based on the layout information of the ultrasonic probe and the vehicle information; A calculation unit, configured to calculate the first quantity of ultrasonic data collected by each ultrasonic probe in the flaw detection device according to the trigger information and the speed information; An extraction unit, configured to sequentially extract first ultrasonic data corresponding to each ultrasonic probe from the ultrasonic data of each wheel set based on the first number and the ultrasonic probe layout information; A storage unit, configured to select at least three A-scan data that meet the first preset requirement from the first ultrasound data and save them to the corresponding data storage file until the A-scan data in the data storage file reaches the first preset requirement. When the quantity is set, the data storage file is stored as a packaged flaw detection data file. 6. The device according to claim 5, further comprising: A determination module, configured to determine the defect level to which the current defect at the defect position of the train wheel set belongs based on the screened target defect waveform; The alarm module is configured to output corresponding alarm information when the determined defect level indicates that the reflected wave amplitude of the train wheelset is not less than the first threshold.