JP2007302250A - Vehicle running state monitoring method and apparatus - Google Patents

Abstract

The present invention provides a method and an apparatus for monitoring a running state of a vehicle by constantly monitoring a track and a vehicle state from a track side in a curved section.
In order to identify the vehicle, wheel load / side pressure data during vehicle travel automatically measured when the vehicle passes by at least a wheel weight / side pressure measuring sensor installed on the ground side of a curved section of the track. The vehicle identification recognition signal and / or the traveling vehicle monitoring television signal are collectively transferred to a remote place, and the transferred data is analyzed in the remote place to constantly monitor the track and the state of the vehicle.
[Effect] The track of the curved section and the state of the vehicle are constantly monitored, and if there is an abnormality, it can be detected early and appropriate measures can be taken, so preventive maintenance can be performed.
[Selection] Figure 1

Description

  The present invention relates to a vehicle running state monitoring method for constantly monitoring the state of a track and a vehicle from the track side in a curved section and serving as a reference for regular maintenance and repair of the track and the vehicle, and an apparatus for carrying out this method. It is about.

  For example, when the outer peripheral portion of the wheel is shaved due to sudden braking and a flat portion is generated, the vertical vibration of the track is accompanied by a large shocking vibration, which deteriorates the riding comfort and the track state. Therefore, when a wheel flat is detected, the wheel is corrected.

In recent years, in order to improve the safety of traveling in a curved section, a lubricant for lowering the friction coefficient is applied to the rail top surface on the inner track side (for example, Patent Document 1).
JP-A-10-181600

  However, when the effect of the lubricant applied to the rail head surface on the inner rail side is cut off, the coefficient of friction between the wheel and the rail increases, resulting in an increase in lateral pressure and noise. In particular, when the lateral pressure increases in a sharp curve section, the risk of derailment increases and wear of the wheel flange portion increases. In addition, the coefficient of friction between the wheel and the rail largely depends on not only the running density of the vehicle but also the weather and temperature.

  However, since the application of the above-mentioned lubricant is currently only performed every time a certain number of vehicles pass (running density), the friction coefficient should be managed at an appropriate constant value as the initial purpose. Is difficult.

  In order to measure the condition of the vehicle on the track side in order to manage the friction coefficient to an appropriate constant value that is the initial purpose, it is necessary to install sensors and measuring instruments on the rail in preparation for the measurement. It is necessary to carry out work after the vehicle ends at night. In addition, there is a great danger during measurement when the vehicle passes.

  In addition, the above-mentioned measurement is to measure the state of a specific part of the vehicle at a certain moment, and is not continuously performed. Therefore, the state change of various items related to vehicle safety is tracked. It has not yet reached. Therefore, it did not notice even if it became abnormal.

  In the above-mentioned measurement, the measured data is only recorded, and the estimation of the state based on the data and the investigation of the cause of the abnormality are performed once by a person with specific knowledge. Since we made a decision based on past experience and intuition, it was necessary to have years of experience and technology to make an appropriate decision.

  The present invention has been made in view of the above-described conventional problems, and provides a method and an apparatus for constantly monitoring the track and the state of the vehicle from the track side in the curved section to monitor the running state of the vehicle. It is aimed.

  In order to achieve the above-described object, a vehicle running state monitoring device according to the present invention includes at least a wheel load / lateral pressure measurement sensor, a vehicle identification recognition signal, and / or a running vehicle installed on the ground side of a curved section of a track. It is assumed that the vehicle monitoring television, transfer means for automatically transferring data measured using these measuring instruments to a remote place at once, and an analyzer for analyzing the data transferred by the transfer means are provided. .

  And the vehicle running measured automatically at the time of passing of the vehicle by at least the wheel load / lateral pressure measuring sensor installed on the ground side of the curved section of the track using the vehicle running state monitoring device according to the present invention having such a configuration. To transfer the wheel load / lateral pressure data at the time and the vehicle identification signal and / or the traveling vehicle monitoring TV signal for identifying the vehicle in a lump to a remote location and analyze the transferred data Thus, it is possible to constantly monitor the track and vehicle status even in remote locations. This is the vehicle running state monitoring method according to the present invention.

  In the present invention, the measurement data on the track side when the vehicle passes through the curved section is always taken and automatically transferred to the analysis place, and the running state is monitored, so the following effects are obtained.

1) The track and vehicle conditions in the curved section are constantly monitored, and if there is an abnormality, it can be detected early and appropriate measures can be taken, so preventive maintenance can be performed.
2) To automatically analyze the cause and issue appropriate instructions for specific abnormal causes such as wheel load balance, wheel misalignment, and tread changes that have traditionally required expert judgment. Will be able to.

3) Conventionally, it was necessary to stay at the site for measurement, and it took a lot of man-hours. However, according to the present invention, only installation is required, and an operator is not required for measurement, and man-hours are greatly reduced.
4) When orbital vibration and noise are measured, it is possible to recognize the deterioration of the noise and vibration environment in advance, so that faster correction is possible.

The best mode for carrying out the present invention will be described below.
In order to constantly monitor the track and vehicle conditions in a curved section, it is necessary to measure the data unattended on the track side every time the vehicle passes and transfer the measured data to a remote analysis location automatically. There is. And based on the measurement data that has been transferred, to automatically analyze the change over time, to estimate the future state, or to detect the abnormal data, to estimate the cause of the abnormality, Instead of human analysis of the transferred data, it is necessary for the computer to automatically analyze the data and perform the above estimation.

  In addition, when abnormal data is detected, it is necessary to transfer the vehicle identification recognition signal and the traveling vehicle monitoring television signal together with the measurement data in order to identify the abnormal vehicle, and the measured and analyzed data Therefore, it is necessary to accumulate data and analyze secular changes in order to predict the future state and instruct the formulation of an optimal repair plan.

  The vehicle running state monitoring method according to the present invention is based on the above-described concept, and is automatically performed when the vehicle passes by at least a wheel load / lateral pressure measurement sensor installed on the ground side of the curved section of the track. The measured wheel load / lateral pressure data and the vehicle identification signal for identifying the vehicle and / or the traveling vehicle monitoring television signal are collectively transferred to a remote place, and the transferred data is To analyze. This analysis makes it possible to always monitor the track and vehicle status even in remote locations. This is the first vehicle running state monitoring method according to the present invention.

  The first vehicle traveling state monitoring method according to the present invention includes at least a wheel load / lateral pressure measurement sensor, a vehicle identification signal, and / or a traveling vehicle monitoring television set on the ground side of a curved section of a track. And a transfer means for automatically transferring the data measured using these measuring instruments all at once to a remote place, and an analyzer for analyzing the data transferred by the transferring means. This can be realized by using a vehicle running state monitoring apparatus.

  Further, in the first vehicle running state monitoring method according to the present invention described above, if the data transferred to the remote place is accumulated and the change over time of the track and the vehicle is analyzed from the accumulated data, the future state Can be estimated. This is the second vehicle running state monitoring method according to the present invention.

  And this 2nd driving | running | working state monitoring method of this invention which concerns on this 1st driving | running | working state monitoring apparatus of the said vehicle according to this invention WHEREIN: Instead of an analyzer, the data transferred by the transfer means are used. Realized by using the second vehicle traveling state monitoring device according to the present invention, which is provided with an analysis / estimation device that accumulates and analyzes temporal changes of tracks and vehicles from this accumulated data and estimates future states. Is possible.

  In the first vehicle running state monitoring method according to the present invention described above, the data transferred to the remote location is stored, and the transferred data is compared with the stored data and analyzed. Track and vehicle abnormality data can be detected, and the cause of the abnormality can be estimated from the detected abnormality data. This is the third vehicle running state monitoring method according to the present invention.

  The third vehicle traveling state monitoring method according to the present invention is the above-described second vehicle traveling state monitoring device according to the present invention, in which the wheel is installed in a horizontal section with a straight track as a measuring instrument. By adding a multiple measuring device, instead of the analysis / estimation device, the data transferred by the transfer means is accumulated, and the transferred data is compared with the accumulated data and analyzed to analyze the track and vehicle. This can be realized by using the third vehicle traveling state monitoring device according to the present invention provided with a comparative analysis / estimation device that detects abnormal data and estimates the cause of the abnormality from the detected abnormal data.

  Hereinafter, a vehicle running state monitoring apparatus according to the present invention will be described based on the best mode example shown in FIG. 1, and a vehicle traveling state monitoring according to the present invention using the vehicle traveling state monitoring apparatus according to the present invention will be described. The method will be described with reference to FIGS.

  FIG. 1 is a diagram showing a schematic configuration of the best mode of a vehicle traveling state monitoring apparatus according to the present invention. FIG. 2 is a diagram using the vehicle traveling state monitoring apparatus according to the present invention having the structure shown in FIG. The figure explaining the flow of the analysis process of the driving | running | working state monitoring method of the vehicle which concerns on invention, FIG. 3 is the figure explaining the wheel load and lateral pressure, orbital vibration, and noise which were measured on the outer gauge side and the inner gauge side.

  In FIG. 1, 1a is a curve section of the main line, for example, when a strain gauge 2 is affixed to the side surface of each rail on the outer and inner rail sides, and when the vehicle 3 passes this curved section 1a, The wheel load P and the lateral pressure Q acting on the rail can be measured.

  In addition, a vibration meter (not shown), a sound level meter 4, an attack angle measurement sensor (not shown), and a video camera or a vehicle specific recognition device 5 are installed in the curved section 1a, and the vehicle 3 passes through the curved section 1a. The vehicle which passed the curve section 1a by measuring the orbital vibration (vibration acceleration), noise and attack angle, and photographing the signal from the vehicle identification device and the vehicle number written on the front of the vehicle 3 that passed 3 can be specified.

  Reference numeral 6a denotes a recorder installed in the curve section 1a. The recording is automatically started by using a wheel load or the like when the vehicle 3 passes through the curve section 1a as a trigger, and the strain gauge 2, vibration meter, noise meter 4. The wheel load P, lateral pressure Q, orbital vibration (vibration acceleration), noise, and attack angle data measured by the attack angle measurement sensor are taken in, and when the vehicle 3 finishes passing the measurement point, the recording is stopped.

  The recorder 6a, for example, A / D converts the captured data and records it as digital data, while transmitting the digital data to the data transfer computer 7a.

  The computer 7a also captures a vehicle identification signal and a vehicle number photographed by the video camera 5. When one train of vehicles 3 passes, the data captured by the computer 7 is immediately transmitted to, for example, an optical cable. Are automatically transferred to the data receiving computer 9 in the analysis place 8 connected by the network 10 and stored in the database 11.

  1b is a straight and horizontal section such as a vehicle base, and the strain gauge 2 is also attached to the side of the rail of the straight horizontal section 1b in the same manner as described above, and the vehicle 3 passes through the straight horizontal section 1b. Sometimes each wheel load P acting on two rails can be measured.

  Then, the measurement data of the wheel load P is taken into a recorder 6b installed in the straight horizontal section 1b, and is A / D converted together with the vehicle number, for example, and recorded as digital data. The data is automatically transferred to the data receiving computer 9 in the analysis place 8 connected by the network 10 via the transfer computer 7 b and stored in the database 11.

Hereinafter, the flow of analysis processing of the computer 9 for receiving data in the analysis place 8 will be described with reference to FIG.
The computer 9 for data reception monitors the trajectory of the curved section 1a and the state of the vehicle 3 at the measurement position by analyzing the data transferred from the data transfer computers 7a and 7b as described above.

  For example, taking a two-axis cart as an example, four wheels are arranged on each cart, so when one vehicle passes through the curved section 1a at the measurement position, at the measurement point, As shown in FIG. 3, four wheel loads (FIGS. 3A and 3B), lateral pressure (FIGS. 3C and 3D), vibration (FIG. 3E), and noise (FIG. 3) 3 (f)), an attack angle (not shown), and the like are measured.

  Then, the measured data is analyzed by the computer 9 to monitor the trajectory state of the vehicle 3 or its measurement point specified by the vehicle identification recognition signal or the captured image of the video camera 5. This is the method of the present invention according to claim 1 using the device of the present invention according to claim 4.

  Specifically, for example, the data accumulated in the database 11 for each vehicle 3 is compared with the data measured this time, and the trajectory of the measurement point and the temporal change of the vehicle 3 are analyzed based on these data, The future state is estimated. This is the method of the present invention according to claim 2 using the device of the present invention according to claim 5. Needless to say, this estimation is reflected in the future repair plan of the vehicle and the track at the measurement point.

  In addition, as shown in FIG. 2, the data stored in the database 11 for each vehicle 3 and the data measured this time are compared and analyzed to detect the trajectory of the measurement point and abnormal data of the vehicle 3. The cause of the abnormality is estimated from the detected abnormality data.

  For example, the wheel load P and the lateral pressure Q in the data measured this time are different for the carts arranged at the front and rear, or the derailment coefficient (Q / P) calculated from the measured wheel load P and the lateral pressure Q is abnormal. If there is a part where the vibration is abnormally protruding as shown in FIG. 3 (e), or there is a part where the noise is abnormally high as shown in FIG. 3 (f). In consideration of the speed of the vehicle 3 at the time of measurement, it is determined that an abnormality has occurred in the track state of the vehicle 3 or its measurement point specified by the vehicle identification signal or the image captured by the video camera 5. The cause of the abnormality is estimated. This is the method of the present invention according to claim 3 using the device of the present invention according to claim 6.

  More specifically, for example, when it is determined that the wheel load P and the lateral pressure Q are different between the front and rear trucks, an instruction to perform a temporary inspection of the truck is issued. If it is determined that there is a risk of derailment from the speed of the vehicle 3 and the derailment coefficient Q / P, an alarm is issued and a derailment attention command is issued. In addition, when there is a portion where the vibration protrudes abnormally and it is determined that a flat portion is generated on the wheel, an alarm is issued and a command to correct the wheel is issued.

  In the above-described embodiment, an analyzer for analyzing data, an analysis / estimation device for analyzing a temporal change of the track and the vehicle 3 from the accumulated data, and estimating a future state, and comparing the data with the accumulated data. By analyzing, abnormal data of the track and vehicle is detected, and a comparative analysis / estimation device that estimates the cause of the abnormality from the detected abnormal data and an indicator that issues a lubricant application command are all used by the computer 9. Although what is to be done is shown, it goes without saying that these may be done on separate devices.

It is the figure which showed schematic structure of the best form example of the running condition monitoring apparatus of the vehicle which concerns on this invention. It is a figure explaining the flow of the analysis process of the traveling state monitoring method of the vehicle based on this invention using the traveling state monitoring apparatus of the vehicle based on this invention of the structure shown in FIG. It is the figure explaining the wheel load and lateral pressure, orbital vibration, and noise of the outer gauge side and inner gauge side which were measured.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1a Curve section 1b Straight horizontal section 2 Strain gauge 3 Vehicle 4 Sound level meter 5 Video camera or vehicle specific recognition apparatus 6a Recorder 6b Recorder 7a Computer 7b Computer 9 Computer 10 Network 11 Database

Claims (6)

  Wheel load / lateral pressure data during vehicle travel automatically measured when the vehicle passes by at least a wheel load / lateral pressure measurement sensor installed on the ground side of the curve section of the track, and vehicle identification recognition for identifying the vehicle Signals and / or traveling vehicle monitoring television signals are collectively transferred to a remote location, and the data transmitted at the remote location is analyzed to constantly monitor the track and vehicle status. Running condition monitoring method. The vehicle running state monitoring method according to claim 1,
A vehicle running state monitoring method characterized by accumulating data transferred to a remote location, analyzing changes over time of tracks and vehicles from the accumulated data, and estimating a future state. The vehicle running state monitoring method according to claim 1,
Accumulating data transferred to remote locations, comparing the transferred data with the stored data, and analyzing the abnormal data of the track and vehicle, and detecting this abnormal data from the detected abnormal data A method for monitoring a running state of a vehicle, wherein the cause of the occurrence of the vehicle is estimated. At least wheel load and lateral pressure measurement sensors installed on the ground side of the curved section of the track,
A vehicle identification signal and / or a traveling vehicle monitoring television;
Transfer means for automatically transferring the data measured using these measuring instruments to a remote location in a batch;
An analyzer for analyzing the data transferred by the transfer means;
The apparatus which implements the driving | running | working state monitoring method of the vehicle of Claim 1 characterized by the above-mentioned. The vehicle running state monitoring device according to claim 4,
In place of the analyzer, the data transferred by the transfer means is stored, and an analysis / estimation device is provided to analyze the changes over time of the track and the vehicle from the stored data and estimate the future state. An apparatus for carrying out the vehicle running state monitoring method according to claim 2. The vehicle running state monitoring device according to claim 5,
As a measuring instrument, add a wheel load measuring device installed in a horizontal section with a straight track,
Instead of the analysis / estimation device, the data transferred by the transfer means is stored, and the transferred data is compared with the stored data to analyze the abnormal data of the track and the vehicle, The apparatus for carrying out the vehicle running state monitoring method according to claim 3, further comprising a comparative analysis / estimation device for estimating the cause of occurrence of the abnormality from the detected abnormality data.

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