JP2009014633A - Method and apparatus for managing abrasion of trolley wire - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method and apparatus for managing the abrasion of a trolley wire that are capable of discriminating abnormal data generated by a detection system and thereby eliminating unnecessary on-the-spot inspection. <P>SOLUTION: The method includes the steps of: measuring n residual diameters h<SB>i</SB>of a trolley wire running over an interval corresponding to a single drum and then calculating the average h<SB>ave</SB>of the n residual diameters h<SB>i</SB>and an unbiased variance σ<SP>2</SP>=Σ(h<SB>i</SB>-h<SB>ave</SB>)<SP>2</SP>/(n-1) with use of data on the n residual diameters h<SB>i</SB>(Steps S1 and S2); and judging the data as normal when each of the residual diameters h<SB>i</SB>falls within a range of interval estimation μ [where h<SB>ave</SB>-2.58×σ/√n<μ<h<SB>ave</SB>+2.58×σ/√n] with 99% confidence or judging the data as abnormal when none of the residual diameters h<SB>i</SB>falls within the range of interval estimation (Steps S3 to S5). <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a wear management method and a wear management device for a trolley wire for power supply in an electric railway.

  A trolley line is an electric wire for supplying electric power to a train in an electric railway. The trolley wire is worn by friction with the pantograph every time the train passes. Furthermore, local abnormal wear occurs in the trolley wire at a location where the trolley wire and the pantograph are instantaneously separated and arc discharge occurs. Since the arc discharge is generated synergistically at the abnormally worn portion, the wear progresses quickly, and if the worn trolley wire is not replaced, the trolley wire is eventually broken and an accident is caused. Therefore, the trolley wire has a wear limit, and the amount of wear is determined by measuring the remaining diameter of the trolley wire, and the wear amount is managed so as not to exceed the wear limit of the trolley wire.

  As the current trolley wire wear management method, measure the sliding surface width of the trolley wire using an electric inspection vehicle, calculate the remaining diameter from the measured sliding surface width, or use a micrometer, Although it is implemented by a method of manually measuring the remaining diameter, etc., in general, the former is often used.

  As shown in FIG. 4, the former method scans the sliding surface 21a of the trolley wire 21 with light (or a laser beam) from the light source 22 in a direction perpendicular to the length direction of the trolley wire 21, and slides the sliding surface 21a. The light source 23 detects the start point and end point of the reflected light, measures the sliding surface width based on the detected start point and end point positions, and calculates the remaining diameter h using the sliding surface width. In this method, by utilizing the fact that the sliding surface 21a of the trolley wire 21 is flattened by wear due to friction with the pantograph and the width becomes wider as the wear progresses, the remaining diameter of the trolley wire is obtained, The wear state is managed. Since the equipment used in this method is relatively large, it is mounted on a dedicated vehicle called an electric inspection vehicle, and the reflected light data is recorded while traveling, based on the reflected light data recorded later, The remaining diameter of the trolley wire is obtained and its wear state is confirmed.

  However, the start point and the end point of the reflected light are shifted due to the roughness of the sliding surface 21 and the adhesion of water droplets, oil droplets, etc., and there are cases in which values far from the original diameter are output. In such a case, although it is estimated that the data is abnormal, it is still necessary to visit the site with a preparedness to check the actual remaining diameter.

Japanese Patent Laid-Open No. 2006-248412 JP 2006-250776 A

  With the current trolley line wear management method using an electric inspection vehicle, when the measurement time can be taken only for a short time due to the schedule, apart from the section where the train density is low, the measurement is performed at the normal train operation speed. It is normal to do. Therefore, although the light scanning time is shortened as much as possible to shorten the distance between the measurement points, in principle, continuous measurement is impossible. Therefore, even if data that is not normal is detected, the determination is often difficult because the measurement points are separated from each other, whether they are due to abnormal wear or due to abnormality in the detection system. For this reason, the current situation is that there is no choice but to carry out on-site confirmation work for either abnormality.

  The present invention has been made in view of the above problems, and an object thereof is to provide a wear management method and a wear management device for a trolley wire that can determine abnormal data by a detection system and delete unnecessary field confirmation work. To do.

The trolley wire wear management method according to the first invention for solving the above-described problems is
The sliding surface of the trolley line is scanned with light in a direction perpendicular to the length direction of the trolley line, the width of the sliding surface is obtained from the start point and the end point of the light reflected by the sliding surface, and based on the width, In the trolley wire wear management method for determining the remaining diameter of the trolley wire and managing the wear state of the trolley wire,
Measure the remaining diameter of the trolley wire in the section corresponding to one drum,
Unbiased variance processing is performed on a plurality of the remaining diameter data,
When each remaining diameter is within the estimated section value with 99% reliability, it is determined as normal data, and when it is not within the estimated section value with 99% reliability, it is determined as abnormal data. To do.

A trolley wire wear management method according to a second invention for solving the above-mentioned problems is as follows.
The sliding surface of the trolley line is scanned with light in a direction perpendicular to the length direction of the trolley line, the width of the sliding surface is obtained from the start point and the end point of the light reflected by the sliding surface, and based on the width, In the trolley wire wear management method for determining the remaining diameter of the trolley wire and managing the wear state of the trolley wire,
For the trolley wire in the section corresponding to one drum, n remaining diameters h _i (i = 1 to n) are measured in advance.
An average h _ave of the n remaining diameters h _i is obtained using the data of the n remaining diameters h _i , and an unbiased variance σ ² = Σ (h _i −h _ave ) ² / (n−1). Seeking
When each remaining diameter h _i is in the range of 99% confidence interval estimated value μ [where h _ave −2.58 × σ / √n <μ <h _ave + 2.58 × σ / √n] Is determined as normal data, and when it is not within the above-mentioned section estimated value, it is determined as abnormal data.

A trolley wire wear management device according to a third invention for solving the above-mentioned problems is
Optical scanning means for scanning light in a direction perpendicular to the length direction of the trolley line on the sliding surface of the trolley line;
A light receiving means for receiving light reflected by the sliding surface;
From the reflected light from the sliding surface received by the light receiving means, the start point and end point of the reflected light are obtained, the width of the sliding surface is obtained from the start point and the end point, and the remaining diameter of the trolley wire based on the width Measuring means for obtaining
In the trolley wire wear management device having a management means for managing the wear state of the trolley wire, using the remaining diameter obtained by the measuring means,
The management means includes
Unbiased variance processing is performed on the data of multiple remaining diameters measured on the trolley wire in the section corresponding to one drum,
When each remaining diameter is within the estimated section value with 99% reliability, it is determined as normal data, and when it is not within the estimated section value with 99% reliability, it is determined as abnormal data. To do.

A trolley wire wear management device according to a fourth invention for solving the above-mentioned problems is
Optical scanning means for scanning light in a direction perpendicular to the length direction of the trolley line on the sliding surface of the trolley line;
A light receiving means for receiving light reflected by the sliding surface;
From the reflected light from the sliding surface received by the light receiving means, the start point and end point of the reflected light are obtained, the width of the sliding surface is obtained from the start point and the end point, and the remaining diameter of the trolley wire based on the width Measuring means for obtaining
In the trolley wire wear management device having a management means for managing the wear state of the trolley wire, using the remaining diameter obtained by the measuring means,
The management means includes
Using the data of the n remaining diameters h _i (i = 1 to n) measured on the trolley line of the section corresponding to one drum, the average h _ave of the n remaining diameters h _i is obtained, and the unbiased Find the variance σ ² = Σ (h _i −h _ave ) ² / (n−1),
When each remaining diameter h _i is in the range of 99% confidence interval estimated value μ [where h _ave −2.58 × σ / √n <μ <h _ave + 2.58 × σ / √n] Is determined as normal data, and when it is not within the above-mentioned section estimated value, it is determined as abnormal data.

  According to the present invention, it is possible to discriminate abnormal data by the detection system by statistical processing and to delete unnecessary on-site confirmation work.

  A trolley wire 1 for supplying electric power to a train is supported by a brace 5 provided on a power pole 4 and is installed between the power poles 4 (see FIG. 1A). The brace 5 may be a bent metal. Usually, it is installed in units of drums, and thereafter, the remaining diameter is calculated and managed by periodic inspection by an electric inspection vehicle or the like. Then, the replacement of the trolley wire 1 due to wear is determined by the remaining diameter measured by the periodic inspection. Conventionally, a method of measuring the trolley wire 1 discontinuously while traveling by an electric inspection vehicle is mainstream. Met. In this case, as described above, mixing of noise is unavoidable, and abnormal data may be generated by the detection system, and it is desired to improve measurement reliability including determination of whether or not the data is abnormal data. It was.

  Also in the present invention, because of the scan time relationship, the measurement is performed discontinuously with respect to the trolley line. It cannot be determined whether it is abnormal or actual abnormal wear. Therefore, in order to overcome the above problems, in the trolley wire wear management device according to the present invention, the determination of whether or not the data is abnormal data is performed by applying a statistical method to improve the accuracy of the determination. ing. Hereinafter, with reference to FIGS. 1-3, an example of the wear management method and wear management apparatus of the trolley wire which concerns on this invention is demonstrated.

  The trolley wire wear management apparatus according to the present invention has a wear measuring apparatus shown in FIG. 1A and a data processing apparatus shown in FIG.

  As shown in FIGS. 1 (a) and 1 (b), the wear measuring apparatus scans the sliding surface 1a of the trolley wire 1 from the lower side in a direction perpendicular to the length direction of the trolley wire 1 ( An optical scanning means) and a light receiver 3 (light receiving means) for receiving the light reflected by the sliding surface 1a. The light receiving means 3 (light receiving means) is provided on the upper part of the train 7 running on the rail 6, and further the light received by the light receiver 3 The train 7 has an image recording unit 8 that records image data and an image processing unit 9 (measuring means) that performs image processing of the image data recorded in the image recording unit 8.

  In the image recording unit 8, for example, the time when the light from the light source 2 is scanned is t, and the change in the received light intensity of the light receiver 3 with respect to the time t is recorded as image data. In this case, when scanning a space where no light from the light source 2 exists, the light receiver 3 does not receive any light, and the light from the light source 2 scans the sliding surface 1 a of the trolley wire 1. When light is received, the light receiver 3 receives the reflected light from the sliding surface 1a, and the end of the sliding surface 1a is recorded as the start point and end point of the received reflected light.

  Then, the image processing unit 9 detects from the image data recorded in the image recording unit 8 the start point and the end point of the reflected light from the sliding surface 1a generated when the light from the light source 2 scans the sliding surface 1a. The width of the sliding surface 1a is obtained from the detected start point and end point, and the remaining diameter h of the trolley wire 1 is obtained based on the obtained width of the sliding surface 1a.

A specific calculation method for obtaining the remaining diameter h of the trolley wire 1 will be described with reference to FIG. Since the trolley wire 1 is usually a circular cross section, if the radius is r, the width of the sliding surface 1a is d, and the angle between the sliding surface 1a and the normal line at the sliding surface end is θ, the remaining diameter h is Is expressed by the following equation.
h = r (1 + sin θ) (Formula 1)
However, θ = cos ⁻¹ (d / 2r)

  By such a calculation method, the remaining diameter h of the trolley wire 1 is obtained, and the obtained data of the remaining diameter h of the trolley wire 1 is collected as a group of data for each section corresponding to one drum, and is described later. It is recorded on the recording medium 11 for use in the processing device.

  Then, the data group of the remaining diameter h of the trolley wire 1 recorded on the recording medium 11 is determined and managed using the data processing apparatus shown in FIG. This data processing apparatus manages the wear state of the trolley wire using the file server 12 in which the data group recorded in the recording medium 11 is accumulated and the database is constructed, and the data group of the measured remaining diameter. Inspection processing terminal 14 (management means) that executes a determination procedure for the display, a display device 15 that displays the processing result of the inspection processing terminal 14, and a printer 16 that prints the processing result. The server 12, the inspection processing terminal 14, and the printer 16 are constructed with a network via the switching hub 13.

  In this embodiment, the data processing device is configured independently of the wear measuring device. However, the image processing unit 9 in the wear measuring device may have the function of the data processing device.

  Next, a determination procedure in the data processing apparatus will be described.

  As described above, since the trolley wire is usually replaced in units of drums, if the remaining diameter data of the trolley wire in the section corresponding to one drum is represented by a frequency distribution table, it can be considered as a normal distribution. Show.

In the case of a normal distribution, the unbiased variance σ is expressed by the following equation, where h _i is an individual measured value, h _ave is an average value of all measured values, and n is the number of measured values.
σ ² = Σ (h _i −h _ave ) ² / (n−1) (Equation 2)

  If the distribution is normal, statistically significant data will fall within the 99% reliability range. Therefore, it is possible to reduce the number of on-site checks by judging that the data outside this range is not abnormal wear but abnormal input data. it can.

The section estimated value μ having a reliability of 99% is expressed by the following equation.
h _ave −2.58 × σ / √n <μ <h _ave + 2.58 × σ / √n (Formula 3)
Note that when the population ratio π is estimated with an accuracy of ± x under the reliability (1−α), the necessary sample size, that is, the number n of measured values, can be estimated by the following equation. it can.
n ≧ {Z (α / 2) / x} ² × π × (1-π) (Formula 4)
When the value of the population ratio π cannot be estimated in advance, it is normally assumed that the value is 0.5. When the reliability is 99% and the accuracy is ± 10%, π = 0.5 and x = 0. .1, α = 0.01, Z (α / 2) = Z (0.005) = 2.58, the above equation 4 is as follows.
n ≧ {2.58 / 0.1} ² × 0.5 × 0.5 = 166.41
Therefore, the number n of measured values is desirably 167 or more.

  When the above-described statistical method is applied to the data processing apparatus of this embodiment, abnormal data is determined (measured data reliability is confirmed) according to the procedure shown in FIG.

First, when the trolley line in the section corresponding to one drum is measured, data of the remaining diameter h _i calculated using the above equation 1 is input (step S1).

Unbiased variance processing is performed on the input data of the remaining diameter h _i using the above equation 2 (step S2).

It is determined whether or not each remaining diameter h _i is within the interval estimated value μ having a reliability of 99% (step S3). If the remaining diameter h _i is within the estimated value μ of 99% reliability, it is determined as normal data (step S4). If the remaining diameter h _i is not within the estimated value μ of 99% reliability, abnormal data is determined. (Step S5).

  In addition, since it cannot be said that there is no possibility that abnormal wear is included in the abnormal data, it is necessary to confirm that no abnormal data is generated at the next measurement.

  The present invention is suitable for trolley wire wear management.

It is a figure explaining an example of the wear management method and apparatus of the trolley wire which concerns on this invention, (a) is a schematic block diagram which shows the wear measuring apparatus of a trolley wire, (b) is a measurement of the remaining diameter of a trolley wire. FIG. FIG. 2 is a schematic configuration diagram showing an example of a data processing device that processes data measured by the trolley wire wear measuring apparatus shown in FIG. 1A in the trolley wire wear management method and apparatus according to the present invention. It is a flowchart which shows the wear management procedure based on this invention implemented in the data processor shown in FIG. It is a figure explaining the measurement of the remaining diameter of a trolley wire in the conventional wear management method of a trolley wire.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Trolley line 1a Sliding surface 2 Light source 3 Light receiver 4 Electric pole 5 Bracket 6 Rail 7 Train 8 Image recording part 9 Image processing part 11 Recording medium 12 File server 13 Switching hub 14 Inspection processing terminal 15 Display apparatus 16 Printer

Claims (4)

The sliding surface of the trolley line is scanned with light in a direction perpendicular to the length direction of the trolley line, the width of the sliding surface is obtained from the start point and the end point of the light reflected by the sliding surface, and based on the width, In the trolley wire wear management method for determining the remaining diameter of the trolley wire and managing the wear state of the trolley wire,
Measure the remaining diameter of the trolley wire in the section corresponding to one drum,
Unbiased variance processing is performed on a plurality of the remaining diameter data,
When each remaining diameter is within the estimated section value with 99% reliability, it is determined as normal data, and when it is not within the estimated section value with 99% reliability, it is determined as abnormal data. Wear control method for trolley wire. The sliding surface of the trolley line is scanned with light in a direction perpendicular to the length direction of the trolley line, the width of the sliding surface is obtained from the start point and the end point of the light reflected by the sliding surface, and based on the width, In the trolley wire wear management method for determining the remaining diameter of the trolley wire and managing the wear state of the trolley wire,
For the trolley wire in the section corresponding to one drum, n remaining diameters h _i (i = 1 to n) are measured in advance.
An average h _ave of the n remaining diameters h _i is obtained using the data of the n remaining diameters h _i , and an unbiased variance σ ² = Σ (h _i −h _ave ) ² / (n−1). Seeking
When each remaining diameter h _i is in the range of 99% confidence interval estimated value μ [where h _ave −2.58 × σ / √n <μ <h _ave + 2.58 × σ / √n] The method for managing wear of a trolley wire, characterized in that it is determined as normal data, and when it is not within the section estimated value, it is determined as abnormal data. Optical scanning means for scanning light in a direction perpendicular to the length direction of the trolley line on the sliding surface of the trolley line;
A light receiving means for receiving light reflected by the sliding surface;
From the reflected light from the sliding surface received by the light receiving means, the start point and end point of the reflected light are obtained, the width of the sliding surface is obtained from the start point and the end point, and the remaining diameter of the trolley wire based on the width Measuring means for obtaining
In the trolley wire wear management device having a management means for managing the wear state of the trolley wire, using the remaining diameter obtained by the measuring means,
The management means includes
Unbiased variance processing is performed on the data of multiple remaining diameters measured on the trolley wire in the section corresponding to one drum,
When each remaining diameter is within the estimated section value with 99% reliability, it is determined as normal data, and when it is not within the estimated section value with 99% reliability, it is determined as abnormal data. Trolley wire wear management device. Optical scanning means for scanning light in a direction perpendicular to the length direction of the trolley line on the sliding surface of the trolley line;
A light receiving means for receiving light reflected by the sliding surface;
From the reflected light from the sliding surface received by the light receiving means, the start point and end point of the reflected light are obtained, the width of the sliding surface is obtained from the start point and the end point, and the remaining diameter of the trolley wire based on the width Measuring means for obtaining
In the trolley wire wear management device having a management means for managing the wear state of the trolley wire, using the remaining diameter obtained by the measuring means,
The management means includes
Using the data of the n remaining diameters h _i (i = 1 to n) measured on the trolley line of the section corresponding to one drum, the average h _ave of the n remaining diameters h _i is obtained, and the unbiased variance sigma ² = sigma seeking ^{_{(h i -h ave) 2 /}} (n-1),
When each remaining diameter h _i is in the range of 99% confidence interval estimated value μ [where h _ave −2.58 × σ / √n <μ <h _ave + 2.58 × σ / √n] In the trolley wire wear management apparatus, it is determined that the data is normal data, and if the data is not within the section estimated value, the data is determined to be abnormal data.

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