KR20180110783A - A System for Diagnosing a Rail Train Based on a Plural of Parameters and a Method for Diagnosing the Same - Google Patents

Abstract

The present invention relates to a system for diagnosing a rail train based on a plurality of parameters and a method for diagnosing the safety of a rail train thereby. The system for diagnosing a rail train comprises a detection module (11) for measuring a plurality of parameters; a converter (12) for converting information transmitted from the detection module (11); a correlation map unit (13) for generating a correlation map between multiple pieces of detection information transmitted from the converter (12); and a parameter analysis unit (16) for analyzing a plurality of parameters based on the correlation generated by the correlation map unit (13). It is possible to improve the efficiency and accuracy of diagnosis.

Description

Technical Field [0001] The present invention relates to a diagnostic system for a railway vehicle and a method for diagnosing a railway vehicle using the same,

The present invention relates to a diagnostic system for a railway vehicle by a plurality of parameters, and a method for diagnosing a safety of a railway vehicle by the method, and more particularly to a method for diagnosing a safety condition of a wheel, an axle or a bearing based on a correlation between a plurality of parameters And more particularly, to a diagnostic system for a railway vehicle by a plurality of parameters and a method for diagnosing the safety of a railway vehicle thereby.

The railway vehicle can be operated at various speeds, and it is advantageous that structural defects of the railway vehicle are detected during the running of the vehicle. However, the detection of devices such as axle bearings during operation has the problem that it is difficult to process the detection information because of the variety of detection situations, difficulty in locating the detection modules, or setting similar detection conditions. For example, in the case of high-speed railways designed to operate at speeds of more than 250 km / h, if the condition of an axle, bearing or wheel is detected by a single parameter, the detection information itself An error may occur. Therefore, it is advantageous that the safety of the railway vehicle is diagnosed on the basis of various parameters.

Various techniques relating to the monitoring of the apparatus or the operation of the railway vehicle have been developed, and the railway track surveillance system of Patent Publication No. 10-2001-0111905 discloses a system for monitoring the railway track. Patent Publication No. 10-2006-0077593 discloses an electric motor vibration acceleration measuring system of an electric railway vehicle, which measures a moving acceleration by a velocity sensor which generates a pulse signal corresponding to the number of revolutions of a wheel To a system that is capable of operating the system. And Patent Publication No. 10-2010-0021327 discloses a surveillance system that monitors the trajectory distortion in real time by a vertical or horizontal vibration sensor.

The prior art discloses the detection of parameters or external factors for monitoring the operation of a railway vehicle, but it is also possible to diagnose the operation monitoring or safety based on the operation monitoring method by a plurality of parameters or the correlation between a plurality of parameters And does not disclose how it can be used.

The present invention has been made to solve the problems of the prior art and has the following purpose.

Prior Art 1: Patent Publication No. 10-2001-0111905 (published by Katei Co., Ltd. on Dec. 20, 2001) Railroad lane monitoring system and monitoring method thereof Prior Art 2: Patent Publication No. 10-2006-0077593 (Korea Railroad Research Institute, published on Jul. 05, 2006) Electric motor vibration acceleration measurement system of an electric railway vehicle Prior Art 3: Patent Publication No. 10-2010-0021327 (published by Geumcheon System Co., Ltd., February 24, 2010) Tracking fault Real-time monitoring system

SUMMARY OF THE INVENTION It is an object of the present invention to provide a railway vehicle with a plurality of parameters which enable the diagnosis efficiency and accuracy to be improved by selecting a plurality of parameters enabling the detection of the condition of the axle, And a method for diagnosing a safety of a railway vehicle by the method.

According to a preferred embodiment of the present invention, a diagnostic system for a railway vehicle and a method for diagnosing a railway vehicle by the same by a plurality of parameters includes a detection module for measuring a plurality of parameters; A converter for converting information transmitted from the detection module; A correlation map unit for generating a correlation map between a plurality of detection information transmitted from the converter; And a parameter analysis unit for analyzing the plurality of parameters based on the correlation generated by the correlation map unit.

According to another preferred embodiment of the present invention, the apparatus further includes a correlation parameter fluctuation width determination unit that determines a fluctuation width of the correlation parameter based on the correlation of the correlation data.

According to yet another preferred embodiment of the present invention, there is provided a method comprising: selecting a plurality of parameters to detect a condition of a wheel, axle or bearing; Obtaining a parameter change curve for each of a plurality of parameters detected at different positions or at different times of the rail in the course of travel; Determining a correlation between parameters based on the change curve; Selecting a correction factor that affects a correlation between parameters; Determining a variation width of the parameter by a correlation between parameters and a correction factor; The selected parameter being tracked; Determining whether the tracked parameter is within an acceptable range; And determining the stability level of each wheel, axle, or bearing according to the determination result.

The diagnostic system according to the present invention improves the accuracy of the state diagnosis by detecting the running state of the wheel, axle or bearing based on a plurality of parameters. The diagnostic system according to the present invention diagnoses the condition of a wheel, an axle or a bearing based on the correlation of a plurality of parameters, thereby preventing a detection error in one parameter due to an external factor, . The diagnostic method according to the present invention keeps track of the parameters with the risk factors continuously so that the reliability of the diagnosis can be improved while at the same time the replacement time of parts of the railway vehicle can be determined.

1 is a block diagram showing an embodiment of the structure of a diagnosis system according to the present invention.
2 shows an embodiment of a detection module for the measurement of a plurality of parameters in a diagnostic system according to the present invention.
Fig. 3 shows an embodiment of the operating structure of the diagnostic system according to the present invention.
Figure 4 illustrates an embodiment of a diagnostic method according to the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the embodiments shown in the accompanying drawings, but the present invention is not limited thereto. In the following description, components having the same reference numerals in different drawings have similar functions, so that they will not be described repeatedly unless necessary for an understanding of the invention, and the known components will be briefly described or omitted. However, It should not be understood as being excluded from the embodiment of Fig.

1 is a block diagram showing an embodiment of the structure of a diagnosis system according to the present invention.

Referring to FIG. 1, a diagnostic system for a railway vehicle by a plurality of parameters includes a detection module 11 for measuring a plurality of parameters; A converter (12) for converting the information transmitted from the detection module (11); A correlation map unit (13) for generating a correlation map between a plurality of detection information transmitted from the converter (12); And a parameter analysis unit (16) for analyzing a plurality of parameters based on the correlation generated by the correlation map unit (13).

The detection module 11 may be arranged in, for example, an axle, a bearing housing or the like, and may be made in the form of a chip in which a plurality of detection units are arranged. The detection module 11 may include, but is not limited to, a vibration sensor 111, a stress sensor 112 and a temperature sensor 113, for example.

The railway vehicle may be composed of a plurality of coaches or a wagon, and a plurality of axles, wheels or bearings may be disposed in each coach or wagon. The detection module 11 may be installed on the basis of each bearing, and a plurality of detection modules 11 may be disposed on a single carriage or a freight car, and the detected measurement information may be transmitted via, for example, To the collector.

The detection module 11 may have a structure in which a plurality of detection units are arranged on one chip or a structure in which any one detection unit is installed independently.

The information detected in the detection module 11 may be transmitted to the converter 12 and made into a signal that can be processed by the communication unit. And correlation data based on the correlation between the plurality of parameters detected in the correlation map unit 13 can be generated. The correlation data can determine the correlation between different parameters based on the change trend of each parameter, and the correlation data can be generated based on the correlation between the different parameters. And the correlation data can be corrected by the correction data selected by the external parameter unit 14. [ The correction data may be, for example, external temperature, humidity, rail condition or wind speed. When the correction correlation data is generated by such correction data, it can be transmitted to the parameter analysis unit 16. [ The detection information can then be analyzed based on the correlation and the analysis results can be stored in the parameter detection database 17. [ The display unit 15 may be disposed as necessary to display the current value of the corrected correlation data and the change trend.

The diagnostic system according to the present invention can have various operating structures and is not limited to the embodiments shown.

Figure 2 shows an embodiment of a detection module for the measurement of a plurality of parameters in a diagnostic system according to the present invention.

2, the detection module 11 may be disposed at the end of the axle, but is not limited thereto.

The detection module 11 may be disposed at the end of the axle, the bearing 24, or the axle 21, but is not limited thereto. For example, the detection module 11 may be installed in the bearing housing 23 or may be arranged at the same place as the gear box. The detection module 11 can be made in chip form, but is not limited thereto. For example, the detection module 11 can be made in the form of an optical fiber string or a MEMS element, and each string or element can be connected to a chip. And a parameter value according to various physical phenomena generated from the rail RL, the wheel WL, the bearing 32, or the axle 21 by the detection module 11 can be detected.

3, the fixing groove 25 may be formed in the end portion 21 of the axle 21 and the detecting module 11 may be detachably mounted on the fixing groove 25 . A window 27 can be formed which is detachable above the fixing groove 25 to seal the fixing groove 25 and the window 27 can be fixed by a fixing means 28 such as a bolt or a screw . Elastic fixing gaps 26a and 26b can be formed on the side surface of the bottom surface of the fixing groove 25 and elastic means can be disposed inside the elastic fixing gaps 26a and 26b.

The detection module 11 detachably fixed to the fixing groove 25 includes a fixed substrate 291; An attachment unit 292 coupled to the upper side of the fixed substrate 291; An adhesive layer 293 having an adhesive and shock-absorbing function on the upper side of the attaching unit 292; And a detection chip (DC) attached and fixed to the adhesive layer (293).

The fixed substrate 291 may include an insertion protruding portion 291a that is inserted and fixed in the elastic fixing gaps 26a and 26b and the attachment unit 292 may be the same as a magnet. Further, the adhesive layer 293 may be a synthetic resin adhesive having stretchability, and the detection chip DC may be a substrate-shaped chip. The detection module 11 may include a plurality of detection units and may be rotated together with the axle or wheel. Detection modules 11 may be disposed on different axles or bearings, respectively, to detect vibrations, temperature changes or stresses in the bearing or axle.

The detection module 11 may be disposed at a position separated from each other and the stress sensor 112 or the noise sensor 115 forming the detection module 11 may be separated from the detection chip DC, . For example, the stress sensor 112 may be the same as a fiber optic sensor, and may be disposed along the longitudinal direction of the axle 21 adjacent to the fixing groove 25. [ Further, the noise sensor 115 may be disposed along the end surface of the axle 21. A connection electrode 251 may be formed on the wall surface of the fixing groove 25 for processing the values obtained from the stress sensor 112 and the noise sensor 115. [ The detection module 11 may be made of various structures and disposed in a proper position, and the present invention is not limited to the embodiments shown.

Fig. 3 shows an embodiment of the operating structure of the diagnostic system according to the present invention.

Referring to FIG. 3, a vibration frequency unit 311 for tracking or analyzing a change of each parameter; A temperature change detection unit 312; And a stress change detection unit 313 may be connected to each detection unit. The changed value of the parameter may be transmitted to the correlation determination unit 32. [ The correlation determination unit 32 can determine the correlation between different parameters based on the change values of the parameters detected at different time points or at different positions, and can give a correlation value. The correction factor unit 33 can select a correction factor, and the parameter with which the selected correction factor is affected can be determined. Correction correlation data can be generated by the correlation determination unit 32 and the correction correlation data can be transmitted to the correlation parameter variation range determination unit 34. [ The stable fluctuation width for each parameter can be determined by the correlation parameter fluctuation amount determination unit 34. [ And each parameter can be tracked by the tracking unit 35 based on the stable fluctuation width. The stability level for each parameter according to the passage of time can be determined by the stability level determining unit 36 according to the tracking result.

The diagnostic system according to the present invention may have various operating structures and the present invention is not limited to the embodiments shown.

Figure 4 illustrates an embodiment of a diagnostic method according to the present invention.

Referring to FIG. 4, a diagnostic method for a railway vehicle based on a plurality of parameters includes a step P41 of selecting a plurality of parameters to detect the condition of a wheel, axle or bearing; Obtaining (P42) a parameter change curve for each of a plurality of parameters detected at different locations or at different times of the rail in the course of operation; A step (P43) in which a correlation degree between parameters is determined based on the change curve; A correction factor is selected that affects the correlation between the parameters (P44); A step (P45) in which the variation width of the parameter is determined by the correlation between the parameters and the correction factor; Step (P46) in which the selected parameter is tracked; A step (P47) in which it is determined whether the tracked parameter is within an allowable range; And a step (P48) in which the stability level of each wheel, axle or bearing is determined according to the determination result.

A number of detection parameters can be selected, and a detection module capable of measuring a plurality of detection parameters can be prepared and disposed at such locations as an axle, a bearing, a bearing housing, or a gearbox (P41). And the value for the selected parameter from the detection module may be measured and sent to the management server where the control module is installed. The management server can determine the correlation value of the detection value transmitted from each detection module on the basis of the position and time axis (P43). The correlation for different parameters can be determined, and the correlation for the parameters can be expressed as a value. And at least one parameter may be selected as the correction factor (P44). The correction factor may be selected, for example, a parameter with a low correlation to other parameters, for example the environmental temperature may be selected as the correction factor. The variation width for each of the parameters except the correction factor can be determined, and the variation width can include the parameter variation width and the correlation variation width (P45).

It is tracked based on the time and position for each parameter (P46), and it can be determined whether the fluctuation width is within a predetermined range (P47). According to the determination result, if the number of times out of the allowable range is out of the predetermined number (NO), the stability level for the parameter can be determined (P48). On the other hand, if it is within the permissible range, the parameters for the other detection modules can be tracked and judged whether they are within the permissible range.

The safety diagnosis method according to the present invention can be performed by various methods, and the present invention is not limited to the embodiments shown.

The diagnostic system according to the present invention improves the accuracy of the state diagnosis by detecting the running state of the wheel, axle or bearing based on a plurality of parameters. The diagnostic system according to the present invention diagnoses the condition of a wheel, an axle or a bearing based on the correlation of a plurality of parameters, thereby preventing a detection error in one parameter due to an external factor, . The diagnostic method according to the present invention keeps track of the parameters with the risk factors continuously so that the reliability of the diagnosis can be improved while at the same time the replacement time of parts of the railway vehicle can be determined.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention . The invention is not limited by these variations and modifications, but is limited only by the claims appended hereto.

11: Detection module 12: Converter
13: correlation map unit 14: external factor unit
15: display unit 16: parameter analysis unit
17: Parameter detection database 21: Axle
23: bearing housing 24: bearing
25: fixing grooves 26a, 26b: elastic fixing gaps
27: Window 28: Fixing means
32: Correlation determination unit 33: Correction factor unit
34: correlation parameter fluctuation width determination unit
35: tracking unit 36: stability rating determining unit
111: Vibration sensor 112: Stress sensor
113: Temperature sensor 115: Noise sensor
251: connecting electrode 291: fixed substrate
291a: insertion protruding portion 292: attachment unit
293: adhesive layer 311: vibration frequency unit
312: Temperature change detection unit 313: Stress change detection unit
DC: Detection chip RL: Rail
WL: Wheel

Claims (3)

A detection module (11) for measuring a plurality of parameters;
A converter (12) for converting the information transmitted from the detection module (11);
A correlation map unit (13) for generating a correlation map between a plurality of detection information transmitted from the converter (12); And
And a parameter analysis unit (16) for analyzing the plurality of parameters based on the correlation generated by the correlation map unit (13). The diagnostic system of claim 1, further comprising a correlation parameter variation determining unit (34) for determining a variation width of the correlation parameter based on the correlation of the correlation data. Selecting a plurality of parameters to detect the condition of the wheel, axle or bearing;
Obtaining a parameter change curve for each of a plurality of parameters detected at different positions or at different times of the rail in the course of travel;
Determining a correlation between parameters based on the change curve;
Selecting a correction factor that affects a correlation between parameters;
Determining a variation width of the parameter by a correlation between parameters and a correction factor;
The selected parameter being tracked;
Determining whether the tracked parameter is within an acceptable range; And
And determining the stability level of each wheel, axle, or bearing according to a result of the determination.

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