Diagnostic equipment

Abstract

A new technology is proposed to suppress the decrease in the accuracy of detecting abnormalities in movable platform screen doors based on sensor detection results. [Solution] The diagnostic device 1 for the movable platform gate 60 installed on the platform 50 on which passengers board and alight from the train 40 determines whether or not the train 40 is running based on images captured by a camera 5 installed so as to include the doors of the movable platform gate 60 and the train 40 in its shooting range. Based on the detection value of a predetermined sensor 3 provided on the movable platform gate 60 and the determination result of whether or not the train 40 is running, the device detects an abnormality in the movable platform gate 60.

Description

Technical Field

[0001] The present invention relates to a diagnostic apparatus.

Background Art

[0002] There is known a movable platform fence installed on a platform of a railway station and partitioning the platform from the track side. The movable platform fence has a drive mechanism in a door pocket portion that supports and drives a door portion to open and close. During the opening operation, the door portion is stored in the door pocket portion, and during the closing operation, the door portion is advanced from the door pocket portion. By this opening and closing drive, an entrance / exit for passengers to board and alight from a train is opened and closed. There are various known techniques for detecting an abnormality occurring in the movable platform fence based on a detection value of a sensor. For example, there is known a technique of detecting vibration generated by the operation of a drive mechanism with a vibration sensor and detecting an abnormality based on vibration data that is the detection value (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the vibration data obtained by the vibration sensor may include not only the vibration generated by the operation of the drive mechanism but also the vibration generated by environmental factors such as the vibration due to the train wind accompanying the running of the train. As a result, there is a risk that the detection accuracy of an abnormality may decrease. This problem is the same for other sensors as well as the vibration sensor.

[0005] The problem to be solved by the present invention is to propose a new technique for suppressing a decrease in the detection accuracy of an abnormality of a movable platform fence based on a detection result of a sensor.

Means for Solving the Problems

[0006] The first invention for solving the above problem is: A diagnostic device for movable platform screen doors installed on the platform where passengers board and alight from trains, A running determination means (for example, the running determination unit 14 in Figure 3) determines whether or not the train is running based on images captured by a camera installed so as to include the door portion of the movable platform screen door and the train in its shooting range, An abnormality detection means (for example, the abnormality detection unit 20 in Figure 3) detects an abnormality in the movable platform fence based on the detection value of a predetermined sensor provided on the movable platform fence and the determination result of the running determination means, It is a diagnostic device equipped with [a specific feature / feature].

[0007] According to the first invention, it is possible to suppress the decrease in the accuracy of detecting abnormalities in the movable platform screen doors based on the detection results of sensors. The values ​​detected by sensors installed on the movable platform screen doors may change due to external factors such as the swinging of the door pockets and doors of the movable platform screen doors caused by the wind generated by the movement of trains. Therefore, by determining whether or not a train is moving based on the image captured by the camera and using that determination result as a basis, it is possible to suppress false detections of abnormalities in the movable platform screen doors based on the sensor detection.

[0008] The second invention is, in the above invention, An opening / closing determination means (for example, the opening / closing determination unit 12 in Figure 3) that determines whether or not the door is in the process of opening or closing. Furthermore, The abnormality detection means includes an operation abnormality detection means (for example, the operation abnormality detection unit 21 in Figure 3) that detects an operation abnormality of the movable platform gate based on the detected value when the running determination means determines that the platform is not running and the opening / closing determination means determines that it is in opening / closing operation. It is a diagnostic device.

[0009] When no train is running, the system is not affected by the wind generated by the train. Therefore, according to the second invention, it is possible to detect malfunctions in the movable platform screen door based on the sensor's detection values ​​when no train is running and the door of the movable platform screen door is in the process of opening or closing.

[0010] The third invention is, in the above invention, An opening / closing determination means (for example, the opening / closing determination unit 12 in Figure 3) that determines whether or not the door is in the process of opening or closing. Furthermore, The abnormality detection means includes a contact detection means (for example, the contact detection unit 22 in Figure 3) that detects object contact with the movable platform fence based on the detected value when the running determination means determines that the platform is not running and the opening / closing determination means determines that it is not in opening / closing operation. It is a diagnostic device.

[0011] When no train is running and the doors are not in the process of opening or closing, no wind from the train or vibrations caused by the opening and closing of the doors can occur. Therefore, according to the third invention, it is possible to detect object contact with the movable platform screen door based on the sensor's detection value when no train is running and the doors of the movable platform screen door are not in the process of opening or closing.

[0012] The fourth invention is, in the above invention, The abnormality detection means includes a cumulative value abnormality detection means (for example, the cumulative value abnormality detection unit 23 in Figure 3) that, when the running determination means determines that the train is running, records the detected value related to the running, and detects an abnormality in the movable platform gate based on the cumulative value of the current and past detected values. It is a diagnostic device.

[0013] The wind generated by the movement of trains can cause the door pockets and doors of movable platform screen doors to sway, potentially leading to malfunctions in the drive mechanism that opens and closes the doors, including the door support mechanism. Therefore, as in the fourth invention, it becomes possible to detect abnormalities in the movable platform screen doors based on the cumulative value of sensor readings while the train is running.

[0014] The fifth invention is, in the above invention, If the aforementioned running determination means determines that the train is running, a speed estimation means (for example, the speed estimation unit 16 in Figure 3) estimates the running speed of the train based on the captured image. Furthermore, The abnormality detection means includes a speed abnormality detection means (for example, the speed abnormality detection unit 24 in Figure 3) that, when the running determination means determines that the train is running, records the detected value and the estimated running speed related to the running at that time in association with the detected value and the detected value corresponding to the currently estimated running speed and the previously estimated running speed that satisfies predetermined approximation conditions, and detects an abnormality in the movable platform gate. It is a diagnostic device.

[0015] According to the fifth invention, it is possible to detect abnormalities in the movable platform screen doors from the sensor's detection value corresponding to the train's running speed. When the movable platform screen doors are functioning normally, there is no significant difference in the sensor's detection value when the train's running speed is similar, and it is considered that they will be approximate. Therefore, it is possible to detect abnormalities in the movable platform screen doors by determining whether the sensor's detection value in the current case is approximate to the sensor's detection value corresponding to past running speeds that satisfy the approximation conditions for the current train's running speed.

[0016] The sixth invention is, in the above invention, The aforementioned camera is positioned to provide an overhead view of the door edges when the door is fully closed. When the abnormality detection means determines that the vehicle is not running according to the running determination means and the door is fully closed, the presence or absence of a relative positional deviation between the door tips of the door is detected based on the captured image by the door tip position abnormality detection means (for example, the door tip position abnormality detection unit 25 in FIG. 3). It is a diagnostic device.

[0017] According to the sixth invention, it is possible to detect an abnormality of a movable home fence, such as a relative positional deviation between the door tips of the door, by excluding the influence of the train wind accompanying the running of the train from the captured image of the camera.

Brief Description of Drawings

[0018] [Figure 1] Application example of the diagnostic device. [Figure 2] Application example of the diagnostic device. [Figure 3] Configuration example of the diagnostic device. [Figure 4] Explanation diagram of abnormality detection of the movable home fence. [Figure 5] Example in which a relative positional deviation occurs between the door tips of the door. [Figure 6] Example in which a relative positional deviation occurs between the door tips of the door.

Embodiments for Carrying Out the Invention

[0019] Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. Note that the applicable forms of the present invention are not limited to the following embodiments. Also, in the description of the drawings, the same reference numerals are assigned to the same elements.

[0020] Figures 1 and 2 show a schematic diagram of an application example of the diagnostic device of this embodiment. Figure 1 is a cross-sectional view along the direction of travel of the train 40, and Figure 2 is a top view of the platform 50 seen from above. The diagnostic device 1 of this embodiment diagnoses a movable platform gate 60 installed on the platform 50 where passengers board and alight from the train 40. The movable platform gate 60 has a door section 64 that opens and closes an opening, and a door pocket section 62 that supports the door section 64 and drives it to open and close. On the platform 50, the movable platform gate 60 is installed with the door pocket sections 62 connected in a direction along the track so that the opening corresponds to each door of the train stopped at the platform 50.

[0021] The diagnostic device 1 performs diagnoses, such as detecting abnormalities in the movable platform gate 60, based on the detection values ​​of sensors 3 installed on the movable platform gate 60 and images of the movable platform gate 60 taken by a camera 5. The diagnostic device 1 may be configured as part of a control device built into or separately installed in the movable platform gate 60, or it may be installed as a separate device in an equipment room or the like. The diagnostic device 1 may also be shared by multiple openings of the movable platform gate 60.

[0022] Sensor 3 is installed inside or near the movable platform screen door 60 and is a sensor that detects physical quantities associated with the opening and closing operation of the door portion 64 of the movable platform screen door 60. In this embodiment, sensor 3 is a vibration sensor (accelerometer) installed near the linear guide (linear motion guide) that moves the door portion 64 of the door pocket 62. The linear guide is one of the support and drive mechanisms for the door portion 64 of the door pocket 62. Sensor 3 is not limited to this example and may be a vibration sensor installed in other mechanisms, or it may be another sensor such as an acoustic sensor.

[0023] Camera 5 is installed on the ceiling of the platform 50 to provide an overhead view of the movable platform gate 60, and to include the door sections 64 of the movable platform gate 60 (specifically, the edges of the door sections 64 when fully closed) and the train 40 on the track adjacent to the door sections 64 in its shooting range. In this embodiment, Camera 5 is installed for each opening that is opened and closed by the door sections 64 of the movable platform gate 60, but one camera 5 may be installed to include multiple openings in its shooting range.

[0024] Sensor 3 and camera 5 are connected to the diagnostic device 1 via a wireless or wired communication line, and transmit the detected data from sensor 3 and the captured image data from camera 5 to the diagnostic device 1 at any time. The diagnostic device 1 performs diagnostic processing of the movable platform screen door 60 based on this detected data and captured image data. Alternatively, sensor 3 and camera 5 may store the detected data and captured image data in their respective storage media, and the diagnostic device 1 may read the data from these storage media at any time and perform a diagnosis of the movable platform screen door 60 based on the read data.

[0025] Figure 3 shows an example of the configuration of the diagnostic device 1 in this embodiment. According to Figure 3, the diagnostic device 1 includes an opening / closing determination unit 12, a driving determination unit 14, a speed estimation unit 16, an abnormality detection unit 20, and a diagnostic result output control unit 30.

[0026] The opening / closing determination unit 12 determines whether or not the door section 64 is in the process of opening or closing.

[0027] Specifically, for example, the contour of the door section 64 captured in the image taken by camera 5 is detected, and the position of the door section 64 in each of a series of temporally consecutive images including the captured image (for example, the position of the door edge, since camera 5 is photographing the door section 64 from above) is changed to determine whether the door section 64 is in operation. Furthermore, the direction of the change in position in the captured image is used to determine whether the door section 64 is in the opening or closing operation. Alternatively, the determination of whether the door section 64 is in the opening operation may be made based on an opening / closing operation instruction signal output by the control device of the movable platform screen door 60 to the drive mechanism.

[0028] The train running determination unit 14 determines whether or not the train 40 is running based on the image captured by the camera 5, which is installed so as to include the door portion 64 of the movable platform gate 60 and the train 40 in its shooting range.

[0029] Specifically, the system determines whether a train is visible in a captured image by comparing it with a given reference image. The reference image is a captured image taken when the doors 64 of the movable platform screen door 60 are fully closed and there is no train 40 on the track within the shooting range 7. Furthermore, the determination of whether train 40 is visible is made by examining a portion of the captured image that contains train 40, if train 40 is present. If train 40 is visible, the system then determines whether train 40 is moving by examining whether the position of train 40 in each of several temporally consecutive captured images, including the captured image in question, has changed. Since train 40 is photographed from above, the position of the train can be determined, for example, based on the position of the vehicle's outline. In other words, "train 40 is not moving" includes not only the case where train 40 is not near the movable platform screen door 60, but also the case where train 40 is stopped.

[0030] The speed estimation unit 16 estimates the speed of the train 40 based on the captured image when the running determination unit 14 determines that the train is running.

[0031] Specifically, the train 40's speed is estimated from the changes in the train 40's position in multiple consecutive images of the train 40, and the interval between these images. Since camera 5 is photographing the train 40 from above, the train 40's position can be determined, for example, based on the position of the vehicle's outline.

[0032] The abnormality detection unit 20 detects abnormalities in the movable platform gate 60 based on the detection values ​​of predetermined sensors 3 provided on the movable platform gate 60 and the determination results of the running determination unit 14. The abnormality detection unit 20 also includes an operation abnormality detection unit 21, a contact detection unit 22, a cumulative value abnormality detection unit 23, a speed abnormality detection unit 24, and a door edge position abnormality detection unit 25.

[0033] The abnormal operation detection unit 21 detects an abnormal operation of the movable platform gate 60 based on the detected value when the running determination unit 14 determines that the platform gate is not running, and the opening / closing determination unit 12 determines that it is in the process of opening or closing.

[0034] Specifically, when train 40 is not running and the door section 64 of the movable platform gate 60 is in the process of opening and closing (i.e., when the door section 64 is opening and closing while train 40 is stopped (while on the track)), the system detects an abnormal operation of the drive mechanism that supports and drives the opening and closing of the door section 64 based on vibration data detected by sensor 3. For example, vibration data from the opening and closing operation of the door section 64 is extracted from the vibration data, and a frequency spectrum is calculated by performing a frequency analysis using Fast Fourier Transform (FFT) on the extracted vibration data. Then, the signal level in a predetermined frequency band is compared with a predetermined threshold, and the presence or absence of an abnormal operation is determined based on whether or not it exceeds the threshold.

[0035] The contact detection unit 22 detects object contact with the movable platform gate 60 based on the detected value when the running determination unit 14 determines that the train is not running and the opening / closing determination unit 12 determines that it is not in the process of opening or closing (i.e., when the train 40 is on the track or not on the track and the door section 64 is fully closed, or when the train 40 is on the track and the door section 64 is fully open).

[0036] Specifically, when train 40 is on the track or not on the track and the door section 64 is fully closed, or when train 40 is on the track and the door section 64 is fully open, it is considered that no vibration will occur due to the wind generated by the movement of train 40 or the operation of the drive mechanism that supports and opens / closes the door section 64. Therefore, based on the vibration data detected by sensor 3, it is determined that an object, including a passenger, has come into contact with the movable platform screen door 60 if, for example, vibration above a predetermined threshold level is detected.

[0037] The cumulative value anomaly detection unit 23 records the detected value related to the running time when the running determination unit 14 determines that the train is running, and detects an anomaly in the movable platform gate 60 based on the cumulative value of the current and past detected values.

[0038] Specifically, the door section 64 and door pocket section 62 of the movable platform screen door 60 oscillate due to the wind generated by the movement of the train 40. This oscillation makes the drive mechanism that supports and opens / closes the door section 64, as well as the fastening parts within the drive mechanism, more susceptible to gradual deterioration and looseness. Therefore, for example, the detection value of the sensor 3 is recorded each time the train 40 runs, and when the cumulative value of these detection values ​​reaches a predetermined threshold, it is detected as an abnormality in the movable platform screen door 60. This makes it possible to detect abnormalities due to aging, for example.

[0039] When the speed abnormality detection unit 24 determines that the vehicle is in motion by the vehicle motion determination unit 14, it records the detected value and estimated vehicle speed related to the current motion in association with each other, and detects an abnormality in the movable platform gate 60 by comparing the detected value corresponding to the currently estimated vehicle speed with a previously estimated vehicle speed that satisfies predetermined approximation conditions.

[0040] Specifically, the date and time when train 40 is determined to be running, along with the detected value from sensor 3 and the train's speed at that time, are recorded and stored in association. Then, each time train 40 is determined to be running, the current data (detected value from sensor 3 and train speed) is compared with the stored data for each past date and time (detected value from sensor 3 and train speed), as shown in Figure 4.

[0041] Figure 4 is a schematic diagram plotting current and past data with the detection value of sensor 3 on the horizontal axis and the travel speed on the vertical axis. Black circles represent plotted points of past normal data, and black triangles represent plotted points of current data. As shown in Figure 4, there is a positive correlation between the detection value of sensor 3 and the travel speed. The presence or absence of an abnormality in the movable platform screen door 60 is determined by whether or not the plotted points of the current data are included in the distribution of plotted points of past normal data. That is, as shown by the rectangular dotted line in Figure 4, a range of travel speeds that satisfies the approximation condition indicating that the current travel speed and the value are similar is defined. The abnormality of the movable platform screen door 60 is determined by whether or not the detection value of sensor 3 in the current data is similar to the detection value of each past data for which the travel speed is within this range.

[0042] Alternatively, a correspondence table may be created from the accumulated past data for each date and time (detection values ​​of sensor 3 and travel speed), associating the detection values ​​of sensor 3 with the range of travel speeds that satisfy the approximate conditions. This correspondence table can then be used to determine if there is an abnormality in the movable platform screen door 60 based on the current data (detection values ​​of sensor 3 and travel speed).

[0043] Returning to Figure 3, the door edge position abnormality detection unit 25 detects whether or not there is a relative positional misalignment between the door edges of the door section 64 based on the captured image, when the running determination unit 14 determines that the vehicle is not running and the door section 64 is fully closed.

[0044] Specifically, the system detects the outline of the door section 64 in the captured image when the train 40 is not running (either the train 40 is on the track or not) and the door section 64 of the movable platform gate 60 is in the closed position. It then determines whether there is a relative misalignment between the door edges based on whether the outlines of the door sections 64 along the longitudinal direction roughly coincide. To exclude relative misalignment between the door edges that may occur due to the wind caused by the running of the train 40, the determination is made when the train 40 is not running and the door section 64 is in the closed position.

[0045] Figures 5 and 6 are top views of the door section 64 in the closed state, viewed from above. In the figures, the upper side is the track side and the lower side is the platform side. Camera 5 takes a bird's-eye view of the door section 64 of the movable platform gate 60 from above, so the captured images show the door section 64 as seen from above, as shown in Figures 5 and 6. Figure 5 is an example where the leading edge of one door section 64a is pushed towards the platform side (lower side in the figure), causing a relative positional misalignment with the leading edge of the other door section 64b. Figure 6 is an example where an abnormality in the support mechanism of the door section 64 in the door pocket section 62 causes the linear motion guidance direction of one door section 64c to be misaligned, and the entire door is driven to advance diagonally to one side (lower side in the figure), causing a relative positional misalignment with the leading edge of the other door section 64d.

[0046] Returning to Figure 3, the diagnostic result output control unit 30 controls the output of the detection results from the abnormality detection unit 20 to the outside of the device. For example, if an abnormality is detected by any of the operation abnormality detection unit 21, contact detection unit 22, cumulative value abnormality detection unit 23, speed abnormality detection unit 24, or door edge position abnormality detection unit 25 of the abnormality detection unit 20, an alarm indicating this is output.

[0047] According to this embodiment, it is possible to suppress the decrease in the accuracy of detecting abnormalities in the movable platform screen door 60 based on the detection results of the sensor 3. The detection values ​​by the sensor 3 provided on the movable platform screen door 60 may change due to external factors such as the swinging of the door pocket section 62 and door section 64 of the movable platform screen door 60 due to the wind caused by the movement of the train 40. Therefore, by determining whether or not the train 40 is moving based on the image captured by the camera 5 and using that determination result as a basis, it is possible to suppress the false detection of malfunctions in the movable platform screen door 60 based on the detection by the sensor 3.

[0048] It should be noted that the applicable embodiments of the present invention are not limited to those described above, and can be modified as appropriate without departing from the spirit of the invention.

[0049] (A) Trains subject to evaluation The assessment may include not only trains running on the track at the end of the platform where the movable platform screen door 60 is installed, but also trains running on other tracks within range of the movable platform screen door 60 being affected by train wind, such as tracks for through trains that pass at a distance from the platform 50, or tracks for trains running on the opposite side of the platform in the case of an island platform. The assessment of trains running on other tracks may be based, for example, on images taken by a camera installed to include the movable platform screen door 60 and multiple tracks in its shooting range, or on images taken by other cameras used to photograph other movable platform screen doors 60.

[0050] (B) Sensor Although sensor 3 is a vibration sensor, other sensors such as an acoustic sensor may also be used. In the case of an acoustic sensor, similar to the case of vibration data, it is possible to detect abnormal operation of the drive mechanism that drives the opening and closing of the door section 64 based on the detected acoustic data.

[0051] (C) Installation position of camera 5 Alternatively, camera 5 may be installed on the track side of the movable platform screen door 60 to photograph the space between the movable platform screen door 60 and the train. For example, camera 5 may be installed on the track-side surface of the door pocket section 62, or it may be installed in conjunction with the obstacle sensor provided by the movable platform screen door 60, or the camera provided by the obstacle sensor may be used. [Explanation of symbols]

[0052] 1…Diagnostic device 12...Open / Close Determination Unit 14…Driving determination unit 16…Speed ​​estimation section 20... Anomaly detection unit 21... Abnormal Operation Detection Unit 22... Contact detection unit 23...Cumulative value anomaly detection unit 24...Same speed abnormality detection unit 25... Door edge position abnormality detection unit 30…Diagnostic Result Output Control Unit 3...Sensor 5…Camera 7…Shooting range 40... train 50...Platform 60…Movable platform screen doors 62... Door pocket section 64... Door section

Claims

1. A diagnostic device for movable platform screen doors installed on the platform where passengers board and alight from trains, A running determination means that determines whether or not the train is running based on images captured by a camera installed so as to include the door portion of the movable platform screen door and the train in its shooting range, An abnormality detection means for detecting an abnormality in the movable platform gate based on the detection value of a predetermined sensor provided on the movable platform gate and the determination result of the running determination means, A diagnostic device equipped with the following features.

2. Opening / closing determination means for determining whether the door section is in the process of opening or closing, Furthermore, The abnormality detection means includes an operation abnormality detection means that detects an operation abnormality of the movable platform gate based on the detected value when the running determination means determines that the platform is not running and the opening / closing determination means determines that it is in opening / closing operation. The diagnostic device according to claim 1.

3. Opening / closing determination means for determining whether the door section is in the process of opening or closing, Furthermore, The abnormality detection means includes a contact detection means that detects object contact with the movable platform fence based on the detected value when the running determination means determines that the vehicle is not running and the opening / closing determination means determines that it is not in opening / closing operation. The diagnostic device according to claim 1.

4. The abnormality detection means includes a cumulative value abnormality detection means that, when the driving determination means determines that the vehicle is in motion, records the detected value related to that driving, and detects an abnormality in the movable platform gate based on the cumulative value of the current and past detected values. The diagnostic device according to claim 1.

5. If the aforementioned driving determination means determines that the train is in motion, a speed estimation means estimates the speed of the train based on the captured image. Furthermore, The abnormality detection means includes a speed abnormality detection means that, when the running determination means determines that the vehicle is running, records the detected value and the estimated running speed in association with the running time, and compares the currently estimated running speed with the detected value corresponding to a previously estimated running speed that satisfies predetermined approximation conditions, and detects an abnormality in the movable platform gate. The diagnostic device according to claim 1.

6. The aforementioned camera is positioned to provide an overhead view of the door edges when the door is fully closed. The abnormality detection means includes a door edge position abnormality detection means that, when the driving determination means determines that the vehicle is not moving and the door section is fully closed, detects whether or not there is a relative positional misalignment between the door edges of the door section based on the captured image. The diagnostic device according to claim 1.

Images