JPH0254881B2 - - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a track inspection method that is effective in ensuring a good riding comfort for passengers, which is most necessary for track management of high-speed railways.

Conventionally, as will be described later, deviations in elevation, deviations in alignment, and
The necessity of track maintenance was determined by checking vehicle body vibration and other factors against track maintenance standards. However, as a result of research and analysis on the relationship between track conditions and car body vibration in the high-speed region, it has been found that the car body vibration caused by track deviation varies depending on the wavelength of the track deviation. It has now been decided that it is appropriate to focus on fixing track deviations that have a large impact on vehicle body sway and passenger comfort.

The conventional situation will be described below.

First, deviation refers to horizontal bending in the longitudinal direction of the rail on the track plane, and height deviation refers to vertical bending. These are the length
The amount of deviation is expressed by measuring the distance between the center of a 10m string and the rail, and is generally called the Masaya method for measuring track deviation. Vehicle body vibration is usually expressed by vibration acceleration of the vehicle body. The above measurement method is conventionally
It is used in the inspection vehicle 1 as shown in Figure 1.
To detect misalignment using the Masaya method, the detectors 3 for measuring misalignment are attached to the trolley 2 of the inspection vehicle 1 placed at 5 m intervals at three locations at both ends and the center of a 10 m string length. 3, the relative displacement of the rail in the left and right direction with respect to the vehicle body is detected, and the amount of deviation is determined by a calculation device comprised of an electric circuit or the like. Theoretically, the measurement of deviation using the Masaya method is required to have the following characteristics. Figure 2 is 10
This shows the characteristic diagram of the m-string Masaya method. In the Masaya method with a string length of 10 m, the maximum detection magnification for deviation at a wavelength of 10 m is 2.0, 1.0 at a wavelength of 20 m, and 0.29 at a wavelength of 40 m. On the other hand, it has become clear that the misalignment of wavelengths from 30 m to 40 m has a large effect on the lateral movement of high-speed railway car bodies, as will be explained later. Therefore, from 30m
There is a limit to the measurement of track deviation based on the 10m string masaya method measurement using conventional inspection vehicles, where the measured value is small in the 40m wavelength range, so a new track is being developed to ensure the ride comfort required for high-speed railways. A method of measuring deviation is necessary.

The gist of the present invention is to install an accelerometer and a rail left-right displacement detector in a measurement frame for measuring misalignment, and process the signal of the relative left-right displacement of the rail and the signal of the accelerometer to detect the rail relative to the inertial space. Find the lateral displacement of The present invention relates to a track misalignment detection method characterized by realizing the characteristics of a track misalignment filter that detects track maintenance points necessary to ensure riding comfort. Regarding the influence of the wavelength of the track misalignment on the lateral acceleration of the vehicle body, the third
As shown in the figure, a regression line diagram of the vehicle body lateral acceleration against the deviation wavelength was obtained. Due to this,
By knowing the deviation of the track, it became possible to estimate the lateral acceleration of the vehicle when passing through it. Furthermore, the relationship between the lateral acceleration of a railway vehicle and ride comfort is set as a ride comfort standard. From the above results, the relationship between the degree of influence of the misalignment wavelength on the vehicle's lateral acceleration and the allowable misalignment for each wavelength when the ride comfort with respect to the lateral acceleration is set constant based on the ride comfort standard. The results were obtained as shown in Figure 4. Furthermore, Figure 4 shows the running speed.
The case of 210km/h is shown. In order to identify track maintenance locations, it is desirable to output the degree of influence of a road error on ride comfort at a constant level, regardless of the wavelength of the road error. In order to obtain such an output, it is sufficient to use a large measurement magnification in the wavelength range where the error is small within the allowable range, and to use a small measurement magnification in the wavelength range where the deviation is large within the allowable range. In other words, the horizontal displacement of the rail relative to the inertial space is measured,
It is sufficient to perform a process of passing the signal through a filter having a shape that is the reciprocal of the deviation as per the tolerance determined in FIG. FIG. 5 is a characteristic diagram in which the measurement magnification is set to 1 at a wavelength of 10 m where the reciprocal is maximum. This is called a ride comfort processing filter for misalignment. The shape of the ride comfort processing filter varies depending on the running speed of the train, so the fifth
In the figure, the speeds are shown by running speed. The output obtained in this manner is referred to as ride comfort processing failure.

The following is a typical way to accomplish this.
FIG. 6 is a plan view of the measurement cart of the inspection vehicle used in the present invention, and FIG. 7 is a cross-sectional view taken along the line AA in FIG. 6.

An accelerometer 8 and rail left/right displacement detectors 9, 1 are mounted on a measurement frame 7 for measuring misalignment, which is supported at a predetermined position of a counterbalance beam 6 fixed to an axle box 5 attached to a wheel axle 4.
0, and the left and right displacement detectors 9 and 10 of the rail.
Measuring frame 7 and left and right rails 11, 12 obtained by
Based on the sum of the relative displacement between
In principle, the left and right displacement of the rail relative to the inertial space is determined. In principle, by passing the horizontal displacement of the rail obtained in this way through a filter circuit having the characteristics of a ride quality processing filter as shown in Fig. 5, it is possible to obtain deviations from the ride quality processing. Can be done.

However, in general, in an electrical double-integration circuit that performs two-time integration, error components included in the acceleration signal are accumulated by the integration operation, so integration can only be achieved for a very short time, making it difficult to detect track deviations. It is not suitable for long-term integration (usually several hours).

According to the present invention, by passing the signal through the following processing circuit, it is possible to eliminate the above-mentioned drawbacks and obtain a waveform that is out of alignment with the ride quality processing.

FIG. 8 is a block diagram of a processing circuit for implementing the present invention. Let Xa be the signal obtained by the left-right displacement detector of the rail, α be the acceleration signal obtained by the accelerometer, let G1 (s) be the Laplace transform formula representing two-time integration, and G2 (s) be the Laplace transform formula for ride quality filter characteristics. s), the amount of deviation Y according to ride comfort processing can be expressed as follows.

Y=G2(s)・(Xa+G1(s)・α)...(1) Here, ride comfort processing filter characteristic G2(s) is defined as part G21(s) having high-pass filter characteristics,
The other parts are divided into G22 (s).

In other words, when G2(s) = G21(s)・G22(s), equation (1) is Y=G21(s)・G22(s)・(Xa+G1(s)・α) =(G21(s)・Xa+G21(s)・G1(s)・α)・
G22(s) …(2) becomes.

Here, if G21(s)·G1(s)=G3(s), equation (2) can be expressed as equation (3).

The transfer function Y=G2(s)・Xa+G3(s)・α)・G22(s)...(3) The transfer function G3(s) has the characteristics of a high-pass filter and double integration, and has this characteristic. Electrical circuits are free from error accumulation.

Therefore, by performing the calculation of equation (3) using an electric circuit, it is possible to determine the deviation according to the ride comfort processing.

13 and 18 in FIG. 8 are high-pass filter circuits having a transfer function of G21(s) in equation (3), and 14
is a double integration circuit with the characteristic G3(s), 15,
19 is an adder, and 16 and 20 are ride comfort processing circuits having the characteristic of G22 (s) in equation (3). The adders of 15 and 19 can be realized by ordinary analog circuits, and the characteristics of the ride comfort processing filter are obtained for spatial frequencies (or wavelengths), so the adders of 13 and 1
Circuits 4, 16, 18, and 20 are constituted by analog filter circuits whose frequencies are variable according to the vehicle speed of the inspection vehicle. Reference numeral 17 designates a speed signal generator for receiving a signal from a rotation detector attached to a running wheel of the inspection vehicle and outputting a speed signal to each filter circuit in order to make the frequency of each filter circuit variable.

Next, the processing circuit will be explained with reference to the block diagram of FIG.

In the case of the left rail, input the left rail lateral displacement signal based on the measurement frame output from the rail lateral displacement detector 9 and the speed signal output from the speed signal generator 17 to the high-pass filter circuit 13; Outputting a horizontal displacement signal of the left rail with a low frequency component cut out with a characteristic of G21(s);
On the other hand, the horizontal acceleration signal of the measurement frame outputted from the accelerometer 8 and the speed signal outputted from the speed signal generator 17 are input to the double integration circuit 14, and G(3)
By outputting a signal that has been integrated twice with the characteristic of
(s) is output as a lateral displacement signal of the left rail relative to the inertial space with the low frequency component cut out, and is further inputted to the ride comfort processing circuit 16 together with the speed signal to determine the ride quality of the left rail. It is possible to obtain a distorted waveform according to the processing.

In addition, in the case of the right rail, a rail left-right displacement detector 10, a high-pass filter circuit 18,
Consists of an adder 19 and a ride comfort processing circuit 20,
The double integration circuit 14 and the speed signal generator 17 are shared.

As described above, according to the present invention, a waveform passed through a ride comfort processing filter is output in response to the left-right displacement of the rail with respect to the inertial space, and by focusing on correcting misalignment in areas where this waveform is large, it is possible to rationally and It is possible to economically manage the riding comfort of the track.

[Brief explanation of drawings]

Figure 1 shows a conventional track inspection vehicle, and Figure 2 shows a conventional track inspection vehicle.
Characteristic diagram of the 10m string Masaya method. Figure 3 is a regression line diagram of acceleration on the left and right sides of the car body against the misalignment wavelength determined from high-speed tests. Figure 4 is a relationship diagram between the misalignment wavelength and allowable remaining misalignment. The figure is a characteristic diagram of the ride comfort processing filter, FIG. 6 is a plan view of the measuring trolley used in the present invention, FIG. FIG. 2 is a block diagram of a processing circuit. 1... Conventional track inspection vehicle, 2... Trolley, 3...
As usual, a detector for measuring deviation, 4... wheel axle, 5...
...Axle box, 6...Balance beam, 7...Measurement frame, 8...Accelerometer, 9, 10...Rail left and right displacement detector,
11...Left rail, 12...Right rail, 13,1
8... High pass filter circuit, 14... Double integration circuit, 15, 19... Adder, 16, 20... Riding comfort processing circuit, 17... Speed signal generator.

Claims (1)

[Claims] 1 Installing an accelerometer and a rail lateral displacement detector in a measurement frame for measuring misalignment of a track inspection vehicle, and inputting the rail lateral displacement and speed signal based on the measurement frame to a high-pass filter circuit. outputs a signal with low frequency components cut out, and integrates this signal and the acceleration signal detected by the accelerometer twice to prevent error components contained in the signal from accumulating due to the integration operation, and then adds the signal and the acceleration signal detected by the accelerometer. The horizontal displacement of the rail relative to the inertial space based on the measurement frame is determined, and this is passed through a circuit that evaluates the degree of influence on ride comfort, thereby identifying the track maintenance points necessary to ensure good ride comfort. A method for detecting off-track trajectory.