JP5351219B2 - VEHICLE STATE DIAGNOSIS DEVICE, DIAGNOSIS METHOD, AND PROGRAM USING RAILWAY VEHICLE - Google Patents

Description

  The present invention relates to a vehicle state diagnosis apparatus, a diagnosis method, and a program that use railway vehicle running sound.

  As this type of technology, Patent Document 1 discloses a technology for detecting so-called wavy wear on a track based on sound generated in a vehicle such as a passenger business vehicle. That is, a spectrum waveform is generated by performing window Fourier transform on acoustic data, and attention is paid to a peak in a specific frequency band in the spectrum waveform to detect wavy wear on the orbit.

JP 2007-145270 A

  In the above-mentioned Patent Document 1, since a defect detection target is clear, it is sufficient to focus on a specific frequency band. However, the above technique is not suitable when a defect detection target is not particularly defined.

  An object of the present invention is to provide a technique for diagnosing the state of a vehicle using the vehicle running sound of a railway, which is suitable when a defect detection target is not particularly defined.

According to a first aspect of the present invention, there is provided a vehicle state diagnosis device for diagnosing the state of a vehicle using railroad vehicle running sound, and storing frequency distribution data of the vehicle running sound generated in different speed ranges. Vehicle status diagnosis means for diagnosing the condition of the vehicle by comparing the plurality of frequency distribution data stored in the frequency distribution data storage means with each other A state diagnostic device is provided.
Preferably, the vehicle state diagnosing means diagnoses the state of the vehicle by extracting feature points from each frequency distribution data and comparing the feature points of the plurality of frequency distribution data with each other.
Preferably, the feature point of each frequency distribution data is a spectrum peak.
Preferably, the spectrum peak includes a peak frequency and an energy value at the frequency.
Preferably, the frequency distribution data includes data of 20 Hz or less.
According to a second aspect of the present invention, there is provided a vehicle state diagnosis method for diagnosing the state of a vehicle using railroad vehicle running sound, wherein frequency distribution data of the vehicle running sound generated in different speed ranges are mutually compared. The vehicle state diagnosis method for diagnosing the state of the vehicle is provided.
According to a third aspect of the present invention, there is provided a vehicle state diagnosis program for diagnosing the state of a vehicle using railroad vehicle running sound, wherein the computer has a frequency distribution of the vehicle running sound generated in different speed ranges. Frequency distribution data storage means for storing data, and vehicle state diagnosis means for diagnosing the state of the vehicle by comparing the plurality of frequency distribution data stored in the frequency distribution data storage means with each other, A vehicle condition diagnosis program is provided for functioning.

  According to the present invention, it is possible to diagnose whether or not any trouble has occurred in the vehicle, that is, the state of the vehicle.

FIG. 1 is a configuration diagram of a vehicle state diagnosis system. FIG. 2 is an image diagram of the vehicle. FIG. 3 is a vehicle condition diagnosis flow. FIG. 4 is a frequency distribution graph of vehicle running sound. (First embodiment) FIG. 5 is a spectrum peak of the frequency distribution graph of the vehicle running sound. (First embodiment) FIG. 6 is a frequency distribution graph of vehicle running sound. (Second embodiment) FIG. 7 is a spectrum peak of a frequency distribution graph of vehicle running sound. (Second embodiment)

(Configuration of vehicle condition diagnosis system 1)
1 and 2 show a vehicle state diagnosis system 1 for diagnosing the state of a vehicle 100 using railway vehicle running sound. As shown in FIG. 1, the vehicle condition diagnosis system 1 includes a computer 2, an audible range sound level meter 3, a low frequency sound level meter 4, a waveform capturing device 5, a GPS receiver 6, and a display 7. It is configured.

  The audible range sound level meter 3 measures the audible range of 20 Hz to 20 kHz among railway vehicle running sounds. The audible range sound level meter 3 is installed in the vicinity of the floor surface of the boarding space of the vehicle 100. The audible range sound level meter 3 outputs the measured sound to the waveform capturing device 5 as an acoustic signal.

  The low-frequency sound level meter 4 measures a non-audible range of 20 Hz or less among railway vehicle running sounds. The low frequency sound level meter 4 is installed in the vicinity of the floor surface of the boarding space of the vehicle 100. The low frequency sound level meter 4 outputs the measured sound to the waveform capturing device 5 as an acoustic signal.

  The waveform capturing device 5 is an interface that AD converts acoustic signals received from the audible range sound level meter 3 and the low frequency sound level meter 4 and outputs them to the computer 2.

  The GPS receiver 6 acquires the current position of the vehicle 100 and outputs the acquired current position to the computer 2 as position information.

  The computer 2 includes a CPU 8 (Central Processing Unit) as central processing means, and a RAM 9 (Random Access Memory) and ROM 10 (Read Only Memory) as storage means. The ROM 10 stores a vehicle state diagnosis program. This vehicle condition diagnosis program is read out by the CPU 8 and executed on the CPU 8, so that the hardware such as the CPU 8 is replaced with a speed calculation unit 50, an FFT analyzer 51, a data storage unit 52 (frequency distribution data storage unit), It functions as a vehicle condition diagnosis unit 53 (vehicle condition diagnosis means).

  The speed calculation unit 50 calculates the vehicle speed of the vehicle 100 based on the position information received from the GPS receiver 6 and outputs the calculated vehicle speed to the vehicle state diagnosis unit 53 as vehicle speed information.

  The FFT analyzer 51 generates frequency distribution data by performing Fourier transform on the acoustic signal acquired via the waveform capturing device 5, and stores the generated frequency distribution data in the data storage unit 52.

  The vehicle state diagnosis unit 53 diagnoses the state of the vehicle 100 by comparing a plurality of frequency distribution data stored in the data storage unit 52 with each other.

  In the present embodiment, the vehicle condition diagnosis apparatus includes at least the data storage unit 52 and the vehicle condition diagnosis unit 53 of the vehicle condition diagnosis system 1.

(Operation of vehicle condition diagnosis system 1)
Next, the operation of the vehicle state diagnosis system 1 will be described with reference to FIG.

  The vehicle state diagnosis unit 53 determines whether the vehicle 100 is accelerating or decelerating based on the vehicle speed information received from the speed calculation unit 50 (S300). When the vehicle 100 is stopped or traveling at a constant speed (S300: NO), the vehicle state diagnosis unit 53 waits until the vehicle 100 starts to accelerate and decelerate. When the vehicle 100 starts accelerating / decelerating (S300: YES), the FFT analyzer 51 captures, for example, an acoustic signal for one second from the waveform capturing device 5 (S310), and Fourier transforms the captured acoustic signal to obtain frequency distribution data. Is generated (S320), and the generated frequency distribution data is stored in the data storage unit 52 (S330). In addition, in addition to the generated frequency distribution data, for example, vehicle speed information at the start of capturing is stored in the data storage unit 52 at the same time. The above processes (S310 to S330) are repeated as long as the vehicle 100 is accelerating / decelerating (S340: YES). Through these processes, the data storage unit 52 stores the frequency distribution data of the vehicle running sound generated in different speed ranges.

  When the vehicle 100 stops or switches to traveling at a constant speed (S340: NO), the vehicle state diagnosis unit 53 compares the plurality of frequency distribution data stored in the data storage unit 52 with each other (S350). . At this time, the vehicle condition diagnosis unit 53 determines whether or not the plurality of frequency distribution data match each other, taking into account the vehicle speed information acquired from the speed calculation unit 50. This is because if the vehicle speed increases, the frequency distribution will inevitably shift to the high frequency side and the energy value will increase overall. Therefore, when comparing a plurality of frequency distribution data with each other, it is preferable to exclude the influence of the vehicle speed information.

  If a plurality of frequency distribution data match each other as a result of the mutual comparison by the vehicle state diagnosis unit 53 (S360: YES), the vehicle state diagnosis unit 53 determines that the state of the vehicle 100 is good (S370). The determination result is displayed on the display 7. On the other hand, if the plurality of frequency distribution data do not match each other as a result of the mutual comparison by the vehicle state diagnosis unit 53 (S360: NO), the vehicle state diagnosis unit 53 determines that the state of the vehicle 100 is defective. (S380), and this determination result is displayed on the display 7. Here, “the vehicle 100 is in a bad state” not only means that any part of the vehicle 100 is specifically damaged, but also wear of consumable parts used in a rotating mechanism such as a motor and a gear. The degree has reached a certain level.

(First embodiment)
Next, a first example of mutual comparison of frequency distribution data by the vehicle state diagnosis unit 53 will be specifically described. FIG. 4 shows frequency distribution data of vehicle running sound generated in different speed ranges, which is stored in the data storage unit 52. The frequency distribution data of (1) is based on an acoustic signal for one second, and the vehicle speed at the start point is 15 km / h, and the vehicle speed at the end point is 16 km / h. Similarly, the frequency distribution data of (2) is based on an acoustic signal for one second, the vehicle speed at the start point is 16 km / h, and the vehicle speed at the end point is 17 km / h. The frequency distribution data of (3) is based on an acoustic signal for one second, and the vehicle speed at the start point is 17 km / h, and the vehicle speed at the end point is 18 km / h.

  When comparing the plurality of frequency distribution data with each other, the vehicle state diagnosis unit 53 extracts feature points from each frequency distribution data and compares the feature points of the plurality of frequency distribution data with each other. Diagnose the condition.

  The characteristic points of each frequency distribution data are preferably spectral peaks as specified by surrounding them with white circles in FIG. In the first example of FIG. 4, the vehicle state diagnosis unit 53 extracts five spectrum peaks from each frequency distribution data in descending order of energy value.

  Then, the five spectrum peaks extracted from each frequency distribution data by the vehicle state diagnosis unit 53 are represented by numerical values as shown in FIG. In other words, the spectrum peak can be alternatively expressed by the peak frequency and the energy value at that frequency. FIG. 5 shows that the vehicle speed and the spectrum peak are linked. However, even if the increase / decrease in the vehicle speed is taken into account, the energy value of the spectrum peak in the vicinity of 90 Hz in (3) of FIG. 4 is suddenly larger than that in (1) and (2) of FIG. . This can also be confirmed by the numerical values shown in FIG. Therefore, the vehicle state diagnosis unit 53 determines that the plurality of frequency distribution data stored in the data storage unit 52 do not match each other.

(Second embodiment)
Next, a second embodiment of the mutual comparison of the frequency distribution data by the vehicle state diagnosis unit 53 will be specifically described. FIG. 6 shows frequency distribution data of vehicle running sound generated in different speed ranges, which is stored in the data storage unit 52. The frequency distribution data of (1) is based on an acoustic signal for one second, and the vehicle speed at the start point is 15 km / h, and the vehicle speed at the end point is 16 km / h. Similarly, the frequency distribution data of (2) is based on an acoustic signal for one second, the vehicle speed at the start point is 16 km / h, and the vehicle speed at the end point is 17 km / h. The frequency distribution data of (3) is based on an acoustic signal for one second, and the vehicle speed at the start point is 17 km / h, and the vehicle speed at the end point is 18 km / h.

  When comparing the plurality of frequency distribution data with each other, the vehicle state diagnosis unit 53 extracts feature points from each frequency distribution data and compares the feature points of the plurality of frequency distribution data with each other. Diagnose the condition.

  The characteristic points of each frequency distribution data are preferably spectral peaks as specified by surrounding them with white circles in FIG. In the second example of FIG. 6, the vehicle state diagnosis unit 53 extracts five spectrum peaks from each frequency distribution data in descending order of energy values.

  Then, when the five spectrum peaks extracted from each frequency distribution data by the vehicle state diagnosis unit 53 are represented by numerical values, it is as shown in FIG. In other words, the spectrum peak can be alternatively expressed by the peak frequency and the energy value at that frequency. According to FIG. 7, it can be seen that the vehicle speed and the spectrum peak are linked. However, even if the increase / decrease in vehicle speed is taken into account, the energy value of the spectrum peak in the vicinity of 800 Hz in (3) in FIG. 6 is suddenly smaller than that in (1) and (2) in FIG. . As a result, the five spectrum peaks extracted by the vehicle state diagnosis unit 53 in (3) of FIG. 6 do not include a spectrum peak near 800 Hz, but instead include a spectrum peak near 10 kHz. This can also be confirmed by the numerical values shown in FIG. Therefore, the vehicle state diagnosis unit 53 determines that the plurality of frequency distribution data stored in the data storage unit 52 do not match each other.

  The preferred embodiment of the present invention has been described above, but the above embodiment has the following features in short.

  The vehicle condition diagnosis system 1 includes a data storage unit 52 (frequency distribution data storage unit) that stores frequency distribution data of vehicle running sound generated in different speed ranges, and a plurality of frequency distribution data stored in the data storage unit 52. Are compared with each other, and a vehicle state diagnosis unit 53 (vehicle state diagnosis means) for diagnosing the state of the vehicle 100 is provided. That is, if no trouble has occurred in the vehicle 100, the frequency distribution data of the vehicle running sound generated in different speed ranges will be substantially the same if the influence due to the speed difference is excluded. Therefore, according to the above configuration, by comparing the plurality of frequency distribution data stored in the data storage unit 52 with each other, it is determined whether or not any trouble has occurred in the vehicle 100, that is, the state of the vehicle 100. Can be diagnosed.

  Further, as shown in FIGS. 4 and 6, the vehicle state diagnosis unit 53 extracts feature points from each frequency distribution data, and compares the feature points of a plurality of frequency distribution data with each other, thereby obtaining the vehicle state. Diagnose. According to the above configuration, the objects of mutual comparison are narrowed down, which contributes to reducing the burden of diagnostic processing.

  Further, as shown in FIGS. 4 and 6, the feature point of each frequency distribution data is a spectrum peak.

  Further, as shown in FIGS. 5 and 7, the spectrum peak includes a peak frequency and an energy value at the frequency.

  Further, as shown in FIGS. 4 and 6, the frequency distribution data includes data of 20 Hz or less. According to the above configuration, abnormal sounds generated only in a non-audible range of 20 Hz or less can be detected without omission.

  Finally, the above embodiment can be modified as follows, for example.

  That is, a large number of frequency distribution data may be stored in a large-capacity storage device, and the accumulated large number of frequency distribution data may be used to elucidate the mechanism of occurrence of a failure.

  In the first embodiment of FIG. 4 and the second embodiment of FIG. 6, the acoustic signal when the vehicle 100 is accelerating is analyzed. Instead, the vehicle 100 is decelerating. It is good also as analyzing the acoustic signal of time.

DESCRIPTION OF SYMBOLS 1 Vehicle state diagnostic system 2 Computer 3 Audible sound level meter 4 Low frequency sound level meter 5 Waveform capture device 6 GPS receiver 7 Display 50 Speed calculation part 51 FFT analyzer 52 Data storage part 53 Vehicle state diagnostic part

Claims (7)

A vehicle state diagnosis device for diagnosing the state of a vehicle using a vehicle running sound of a railway,
Frequency distribution data storage means for storing frequency distribution data of the vehicle running sound generated in at least three different speed ranges;
Vehicle state diagnosis means for determining whether the state of the vehicle is good or not by comparing the at least three frequency distribution data stored in the frequency distribution data storage means with each other;
A vehicle condition diagnosis apparatus comprising: The vehicle state diagnosis apparatus according to claim 1,
The vehicle state diagnosis means extracts feature points from each frequency distribution data, and compares the feature points of the at least three frequency distribution data with each other to determine whether the vehicle state is good or bad .
Vehicle condition diagnosis device. The vehicle state diagnosis apparatus according to claim 2,
The feature point of each frequency distribution data is a spectrum peak.
Vehicle condition diagnosis device. The vehicle state diagnosis apparatus according to claim 3,
The spectral peak includes a peak frequency and an energy value at the frequency.
Vehicle condition diagnosis device. The vehicle state diagnosis apparatus according to any one of claims 1 to 4,
The frequency distribution data includes data of 20 Hz or less,
Vehicle condition diagnosis device. A vehicle state diagnosis method for diagnosing the state of a vehicle using a vehicle running sound of a railway,
By comparing the frequency distribution data of the vehicle running sound generated in at least three different speed ranges with each other, the quality of the vehicle state is determined .
Vehicle condition diagnosis method. A vehicle condition diagnosis program for causing a computer to diagnose the condition of a vehicle using a railway vehicle running sound,
Computer
Frequency distribution data storage means for storing frequency distribution data of the vehicle running sound generated in at least three different speed ranges;
Vehicle state diagnosis means for determining whether the state of the vehicle is good or not by comparing the at least three frequency distribution data stored in the frequency distribution data storage means with each other;
As a vehicle condition diagnosis program.

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