Door system failure sign diagnosis system and failure sign diagnosis method

Abstract

To enable a failure sign diagnosis of a whole door system including not only a drive part of each door but also a management part, a communication device, etc.SOLUTION: A failure sign diagnosis system for a door system having a management unit for instructing an opening / closing timing to a plurality of opening / closing devices for controlling the opening / closing of each of a plurality of doors includes a data input unit for inputting information relating to the opening / closing time of each of the plurality of doors, a storage unit for storing the information relating to the opening / closing time of each of the plurality of doors including the past time, and a failure sign diagnosis unit for comparing the information relating to the opening / closing time with the information relating to the opening / closing time including the past time, diagnosing that there is a failure sign in the opening / closing devices of some of the doors when the opening / closing time of some of the doors is different from the past opening / closing time, and diagnosing that there is a failure sign in the management unit when the opening / closing time of all of the plurality of doors is different from the past opening / closing time.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a failure prediction diagnosis system and a failure prediction diagnosis method for a door system.

Background Art

[0002] From the viewpoints of improving the efficiency and labor saving of maintenance work related to railways, the development of a failure prediction diagnosis technology for railway ground equipment is required. Among railway ground equipment, the platform door device installed on the station platform has a great impact such as causing a delay in train operation when a failure occurs. Therefore, the development of a failure prediction diagnosis technology for detecting and diagnosing the prediction before a failure occurs is required.

[0003] As the background art for the present invention, there is the technology described in Patent Document 1. Patent Document 1 describes a technology in an opening / closing device that can be opened and closed by driving a motor, in which a drive current acquisition unit acquires the drive current of the motor, and a diagnosis unit identifies a current waveform based on the time change of the drive current acquired by the drive current acquisition unit, and diagnoses the soundness of the opening / closing device based on the current waveform.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] Patent Document 1 discloses a diagnosis method for predicting failures in the drive units of each door in a platform door system installed on a transportation platform. However, in a platform door system, there are also a command device for controlling the opening and closing operations of each door, a communication device for opening and closing in conjunction with the vehicle door, etc., so it is necessary to detect the failure prediction of these devices as well.

[0006] Therefore, an object of the present invention is to provide a technique that enables prediction diagnosis of failures not only in the drive units of each door but also in the entire home door system including a command device, a communication device, and the like.

Means for Solving the Problems

[0007] In order to solve the above problems, one typical failure prediction diagnosis system of the present invention is a failure prediction diagnosis system for diagnosing the failure prediction of a door system having a plurality of doors, a plurality of opening and closing devices for controlling the opening and closing of each of the plurality of doors, and a management unit for commanding the opening and closing timings of each of the plurality of doors to the plurality of opening and closing devices. The failure prediction diagnosis system includes a data input unit for inputting information on the opening and closing times of each of the plurality of doors from the door system, a storage unit for storing information on the opening and closing times of each of the plurality of doors acquired from the data input unit including past information, and a failure prediction diagnosis unit for comparing the information on the opening and closing times acquired from the data input unit with the information including the past information on the opening and closing times acquired from the storage unit to diagnose the failure prediction of the door system. When the opening and closing times of some of the plurality of doors are different from the past opening and closing times of the door, the failure prediction diagnosis unit diagnoses that there is a failure prediction in the opening and closing devices of some of the doors. When the opening and closing times of all of the plurality of doors are different from the past opening and closing times of all of the doors, the failure prediction diagnosis unit diagnoses that there is a failure prediction in the management unit.

Advantages of the Invention

[0008] According to the present invention, in a door system including a plurality of opening and closing devices and a management unit for controlling the opening and closing timings thereof, typified by a home door system, it becomes possible to diagnose the failure prediction of the entire door system. Problems, configurations, and effects other than those described above will be clarified by the description in the following embodiments for implementation.

Brief Description of the Drawings

[0009]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Mode for Carrying Out the Invention

[0010] Hereinafter, with reference to the drawings, Example 1 and Example 2 which are modes for carrying out the present invention will be described. Note that the present invention is not limited by these examples. Also, in the description of the drawings, the same parts are denoted by the same reference numerals.

Example

[0011] Example 1 according to the present invention will be described with reference to FIGS. 1 to 5. (Block Configuration) FIG. 1 is a diagram showing the block configuration of the failure omen diagnosis system 100 and the door system 200 to be diagnosed according to Example 1 of the present invention.

[0012] The failure omen diagnosis system 100 includes a data input unit 110, a memory unit 120, and a failure omen diagnosis unit 130.

[0013] The door system 200 includes a plurality of doors 210 and a management unit 220. Further, each door 210 is provided with one opening / closing device 211 inside respectively. Here, the door system targets home doors installed on platforms such as stations, but is not limited thereto. For example, it is also applicable to a door system targeting vehicle doors mounted on trains or the like. This also applies to Example 1 and Example 2 described later.

[0014] First, each component of the fault prediction diagnosis system 100 will be described. The data input unit 110 inputs the opening / closing time information (opening time and closing time) of each door 210 from the management unit 220 of the door system 200, and outputs the opening / closing time information to the storage unit 120 and the fault prediction diagnosis unit 130. Note that as a method of inputting the opening / closing time information to the data input unit 110, it may be input directly from the opening / closing device 211 of each door 210 without passing through the management unit 220 instead of input from the management unit 220.

[0015] Also, when the door system 200 has a function capable of transmitting to a server installed in a vehicle base or the like or a storage area constructed on a cloud environment, the fault prediction diagnosis system 100 may be input from this storage area by implementing it in an environment where it can be connected to this storage area using public wireless communication or the like. This also applies to Example 2 described later.

[0016] The storage unit 120 inputs the opening / closing time information of each door 210 from the data input unit 110 and the diagnosis state from the fault prediction diagnosis unit 130, updates the reference opening / closing time information of each door 210 based on the input information, and stores it in the storage area. At that time, door identification information may be assigned to each door 210 and stored together with this door identification information.

[0017] Also, the storage unit 120 acquires the reference opening / closing time information (reference opening time and reference closing time) of each door 210 from the storage area and outputs it to the fault prediction diagnosis unit 130. The operation mode (processing flow) of the storage unit 120 will be described later.

[0018] Here, regarding the storage area, if there is a storage area such as a memory, a hard disk, or an SSD within the failure prediction diagnosis system 100, it may be stored in that storage area. If it is possible to connect to an external storage area via wired or wireless communication, etc., it may also be stored in that storage area. This is the same in Example 2 described later.

[0019] The failure prediction diagnosis unit 130 inputs the opening and closing time information of each door 210 from the data input unit 110 and the reference opening and closing time information of each door 210 from the storage unit, respectively. Based on the input information, it diagnoses the failure prediction and outputs the diagnosis result to the driver, the driving command (driving command station), or the maintenance area (vehicle base), etc. The operation mode (processing flow) of the failure prediction diagnosis unit 130 will be described later.

[0020] Next, each component of the door system 200 will be described. The door 210 performs an opening operation or a closing operation by an opening and closing device 211. The opening and closing device 211 includes a driving device (not shown) for performing the opening and closing operation of the door 210, inputs an opening and closing command (opening command or closing command) from the management unit 220, performs the opening operation or the closing operation of the door 210 according to the opening and closing command, and outputs whether the door 210 is in an open state or a closed state to the management unit 220.

[0021] The management unit 220 outputs an opening and closing command to each opening and closing device 211 of each door 210 and inputs the opening and closing state (open state or closed state) of each door from the opening and closing device 211. Further, the management unit 220 calculates the opening and closing time information of each door 210 from the transmission timing of the opening and closing command and the change in the opening and closing state of each door 210 received from the opening and closing device 211, and outputs it to the data input unit 110 of the failure prediction diagnosis system 100.

[0022] Here, the calculation method of the opening time and the closing time is shown below. · Opening time: The time from when the management unit 220 transmits the door open signal until it receives from each opening and closing device 211 that the opening and closing state of each door 210 has changed to the open state · Closing time: The time from when the management unit 220 sends a door closing signal until the opening / closing state of each door 210 changes to the closed state and is received from each opening / closing device 211

[0023] (Operation of the storage unit 120) FIG. 2 is a diagram showing an example of the processing flow of the storage unit 120 in the first embodiment. The execution subject of each processing step described below is the processing unit included in the storage unit 120, but the description of the subject is omitted below.

[0024] In step S1001, reference opening / closing time information of each door 210 is acquired from the storage area and output to the failure prediction diagnosis unit 130. In step S1002, the opening / closing time information of each door 210 is acquired from the data input unit 110, and the value of the diagnosis state is acquired from the failure prediction diagnosis unit 130, respectively.

[0025] In step S1003, it is determined whether the value of the diagnosis state is 0 (normal). If it is 0 (normal) (Yes), the process proceeds to step S1004. If it is other than 0 (abnormal) (No), the process ends.

[0026] The processes from step S1004 to step S1008 below are looped for the number of doors 210 (= opening / closing devices 211), and are performed on the opening / closing time information of each door 210.

[0027] In step S1004, reference time information, total opening / closing time information (total opening time and total closing time), and total opening / closing count information (total opening count and total closing count) of each door 210 are acquired from the storage area. In step S1005, the opening time / closing time of each door 210 acquired from the data input unit 110 is added to the total opening time / total closing time of each door 210, and the process proceeds to step S1006.

[0028] In step S1006, the value of the total opening count / total closing count of each door 210 is incremented by 1, respectively. In step S1007, the reference opening time information of each door 210 is updated using the following formula. Reference opening time = Total opening time ÷ Total number of opening operations Reference closing time = Total closing time ÷ Total number of closing operations In step S1008, the updated reference opening / closing time information of each door 210 is stored in the storage area.

[0029] If the processing has been completed for all doors 210, the process ends. If not, the process returns to step S1004.

[0030] (Operation of the failure prediction diagnosis unit 130) FIG. 3 is a diagram showing an example of the processing flow of the failure prediction diagnosis unit 130 in the first embodiment. The execution subject of each processing step described below is the failure prediction diagnosis unit 130, but the description of the subject is omitted below.

[0031] In step S1101, the opening / closing time information of each door 210 is acquired from the data input unit 110, and the reference opening / closing time information of each door 210 is acquired from the storage unit 120. In step S1102, for all doors 210, it is determined whether the absolute value of the difference between the opening time and the reference opening time and the absolute value of the difference between the closing time and the reference closing time are each less than or equal to the threshold value d1. If Yes, the process proceeds to step S1103. If No, the process proceeds to step S1106. Details of the threshold value d1 will be described later.

[0032] In step S1103, the value of the diagnosis state is set to 0 (normal). In step S1104, the value of the failure prediction counter of the management unit 220 and the values of the failure prediction counters of all doors 210 are both initialized to 0. In step S1105, the diagnosis state is output to the storage unit 120, and the process ends.

[0033] In step S1106, the value of the diagnosis state is set to 1 (possibility of abnormality). In step S1107, a failure mode determination process described later is performed. In step S1108, it is determined whether there is a device with a failure mode value other than 0 in the management unit 220 or each opening / closing device 211. If there is (Yes), the process proceeds to step S1109; if not (No), the process proceeds to step S1105. In step S1109, a failure warning alert is notified to the driver, the operation command (operation command center), the maintenance area (vehicle base), etc. Details of the method for notifying the failure warning alert will be described later.

[0034] (Threshold value d1) Here, the details of the threshold value d1 will be described. The threshold value d1 is a parameter indicating when it is determined that the current opening / closing time is an abnormal value when it is longer than the reference opening / closing time by a certain number of seconds. As the threshold value d1, for example, when collecting data on the opening / closing times of each door 210 in a normal state in advance and calculating the 3σ value, which is generally regarded as an outlier statistically, from the standard deviation σ of a sufficient number of data that can ignore the influence of operation and weather, or when the standard opening / closing time and the maximum or minimum opening / closing time are determined by the specifications of the door 210, the largest value among the differences between the standard opening / closing time and the maximum or minimum opening / closing time may be set.

[0035] (Failure mode and failure mode determination process) Next, the details of the failure mode determination process in the failure warning diagnosis unit 130 will be described. First, the failure mode is a signal indicating whether there is a failure warning in the door system 200, and if there is a failure warning, where and what kind of failure warning has occurred.

[0036] The definition of the failure mode in the following Example 1 is shown. · The value '0' of the failure mode: No failure warning · The value '1' of the failure mode: There is a failure warning in the control / transmission device of the management unit 220 · The value '2' of the failure mode: There is a failure warning due to aging in the drive device of the opening / closing device 211 of a specific door 210 · Fault mode value '3': There are signs such as horizontal distortion of the door or the rail supporting the door in the drive device of the opening / closing device 211 of a specific door 210 · Fault mode value '4': There are signs such as vertical distortion of the door or the rail supporting the door in the drive device of the opening / closing device 211 of a specific door 210

[0037] FIG. 4 is a diagram showing an example of the processing flow of a fault mode determination process (step S1107 shown in FIG. 3) for determining each fault mode. The execution entity of each processing step described below is the fault prediction diagnosis unit 130, but the description of the entity is omitted below.

[0038] In step S1201, for all doors 210, it is determined whether the absolute value of the difference between the opening time and the reference opening time and the absolute value of the difference between the closing time and the reference closing time are greater than the threshold value d1. If Yes, proceed to step S1202; if No, proceed to step S1206.

[0039] In step S1202, the value of the fault prediction counter in the management unit 220 is incremented by 1. In step S1203, it is determined whether the value of the fault prediction counter in the management unit is greater than the threshold value d2. If Yes, proceed to step S1204; if No, proceed to step S1205. Details of the threshold value d2 will be described later.

[0040] In step S1204, the value of the fault mode is set to 1 and the process ends. In step S1205, the value of the fault mode is set to 0 and the process ends. In step S1206, the fault mode determination process for each door 210 is performed and the process ends. Details of the fault mode determination process for each door 210 will be described later.

[0041] (Threshold value d2) Here, the details of the threshold value d2 will be described. The threshold value d2 is a parameter indicating whether a sign of failure is determined when the opening / closing time obtained from the management unit 220 shows a value different from the reference opening / closing time for a certain number of consecutive times. In the door system 200 such as a home door, there may be a phenomenon where, during the opening / closing operation, due to a foreign object being pinched, the closing time becomes longer, which is not a sign of failure but shows an opening / closing time different from the standard opening / closing time suddenly. Therefore, as a method for calculating the threshold value d2, unlike the above-described phenomenon, a value (for example, the number of times such as 5 times or 10 times) that can be surely determined to show a time different from the standard opening / closing time every time is set.

[0042] (Fault mode determination process for door 210) FIG. 5 is a diagram showing an example of the processing flow of the fault mode determination process (step S1206 shown in FIG. 4) for each door 210 by the fault sign diagnosis unit 130 in the first embodiment. The execution entity of each processing step described below is the fault sign diagnosis unit 130, but the description of the entity is omitted below.

[0043] In step S1301, one door 210 is selected from the doors 210 for which it is determined in step S1201 of the fault mode determination process that either the difference between the opening time and the reference opening time or the difference between the closing time and the reference closing time is greater than the threshold value d1. In step S1302, the value of the fault sign counter of the selected door 210 is incremented by 1.

[0044] In step S1303, it is determined whether the value of the fault sign counter of the selected door 210 is greater than the threshold value d2. If Yes, proceed to step S1304; if No, proceed to step S1307.

[0045] In step S1304, it is determined whether the total number of openings or the total number of closings of the selected door 210 is greater than the threshold value d3. If Yes, proceed to step S1305; if No, proceed to step S1309. Details of the threshold value d3 will be described later.

[0046] In step S1305, set the value of the failure mode of the selected door 210 to 2. In step S1306, determine whether there is any door 210 that was not selected in step S1301 remaining. If Yes, end the process; if No, return to step S1301. In step S1307, set the value of the failure mode of the selected door 210 to 0.

[0047] In step S1308, determine whether both the difference between the opening time of the selected door 210 and the reference opening time and the difference between the closing time and the reference closing time are greater than the threshold value d1. If Yes, proceed to step S1309; if No, proceed to step S1310.

[0048] In step S1309, set the value of the failure mode of the selected door 210 to 3. That is, when it is determined that both the above-mentioned difference regarding the opening time and the difference regarding the closing time are greater than the threshold value d1, it is determined that there are signs of failure such as distortion in the horizontal direction of the door or the rail supporting the door, which is a part directly involved in the opening and closing operation. In step S1310, set the value of the failure mode of the selected door 210 to 4. That is, when it is determined that either the above-mentioned difference regarding the opening time or the difference regarding the closing time is greater than the threshold value d1, it is determined that there are signs of failure such as distortion in the vertical direction of the door or the rail supporting the door, which is a part not directly involved in the opening and closing operation.

[0049] (Threshold value d3) Here, the details of the threshold value d3 will be explained. The threshold value d3 is a parameter for determining that it is due to the deterioration of the devices or components constituting the driving device of the opening and closing device 211, and is determined by the total number of opening / closing times reaching a certain number or more. For example, it targets the deterioration of devices or components that need to be replaced regularly, such as timing belts and motor brushes. As a method for calculating the threshold value d3, for example, it can be calculated by multiplying the service life of the equipment or parts that need to be replaced by the annual number of opening or closing operations calculated from the operation of the train. Further, when there are a plurality of equipment or parts that need to be replaced, it may be calculated by multiplying the service life of the equipment or part with the shortest service life among each equipment or part by the above-mentioned annual number of opening or closing operations. Furthermore, when there is equipment or parts that have been replaced in the past at the time of introducing the fault prediction diagnosis system 100, the one with the shortest remaining service life at the time of introducing the fault prediction diagnosis system 100 may be selected and calculated.

[0050] (Notification of Fault Prediction Alert) Next, the method for notifying the fault prediction alert will be described. The fault prediction alert is a function that notifies the driver, the operation command (operation command center), the maintenance area (vehicle base), etc. at least by either a screen display or an audible alarm that a fault prediction of the door system 200 has been detected.

[0051] When the fault prediction diagnosis system 100 is installed on the train, the fault prediction diagnosis system 100 outputs a fault prediction alert to a vehicle information control device (not shown), and from the vehicle information control device (not shown), a screen display indicating that a fault prediction has been detected is performed on a display such as a driver's cab. Alternatively, the fault prediction diagnosis system 100 may directly perform a screen display indicating that a fault prediction has been detected on a display such as a driver's cab.

[0052] In addition, when the fault prediction diagnosis system 100 has a function of transmitting vehicle data aggregated by a vehicle information control device (not shown) to a ground system such as an operation command (operation command center) or a maintenance area (vehicle base) using a public wireless communication network or the like, the fault prediction alert is included in the vehicle data and transmitted to the ground system. Thereby, the fault prediction alert may be notified from a screen or the like provided in the ground system via the ground system.

[0053] Furthermore, when the ground system in the operation command (operation command center) or the maintenance area (vehicle base) implements the fault prediction diagnosis system 100, the fault prediction diagnosis system 100 may display a fault prediction alert on a screen or the like provided in the ground system. (Function and effect) As described above, the fault prediction diagnosis system according to Embodiment 1 can detect the fault prediction of not only the drive device of the opening / closing device of each door but also the entire door system including the management unit for the door system composed of the management unit and the opening / closing device that controls the opening and closing of a plurality of door devices.

[0054] In addition, the fault prediction diagnosis system according to Embodiment 1 uses a function of calculating the standard opening / closing time when the device is normal from the past opening / closing time information, compares the past opening / closing time with the current opening / closing time, and when the opening / closing time of all doors is different from the past opening / closing time, it determines that there is a fault prediction in the management unit of the door system. When the opening / closing time of a specific door is different from the past opening / closing time, it has a function of determining that there is a fault prediction in that specific door.

[0055] Furthermore, the fault prediction diagnosis system 100 according to Embodiment 1 has a function of discriminating the fault cause in the drive device of the door opening / closing device by considering the number of opening / closing operations performed so far regarding the fault prediction of the door and the differences between the past opening / closing times of the opening time and the closing time respectively.

Embodiment

[0056] Embodiment 2 according to the present invention will be described with reference to FIGS. 6 to 9. (Block configuration) FIG. 6 is a diagram showing the block configuration of the fault prediction diagnosis system 100, the door system 200 to be diagnosed, and the intervening vehicle 300 according to Embodiment 2 of the present invention.

[0057] In Embodiment 2, the components of the fault prediction diagnosis system 100 and the components of the door system 200 are the same as those in Embodiment 1, but it is different from Embodiment 1 in that the command for the opening / closing operation of the door system 200 is transmitted from the vehicle 300.

[0058] Hereinafter, regarding Example 2, taking as an example the case where a specific vehicle 300 stops at a specific door system 200, where there are multiple door systems 200 and vehicles 300 respectively, like platform doors installed at each station on a railway section and train groups running on that section, an explanation will be given.

[0059] Note that the description of each component of the failure prediction diagnosis system 100 and the door system 200 is the same as in Example 1, so it will be omitted. Also, regarding the inputs and outputs of each part, the description will be limited to the points that are different from Example 1.

[0060] The vehicle 300 includes a vehicle information control unit 310, a first transmission unit 320, and a second transmission unit 330. Also, the vehicle 300 originally includes functions and equipment for traveling such as wheels, a driver for controlling traveling, or functions and equipment for automatic driving control to replace the driver, etc., but since they do not directly affect the operation mode of Example 2, their descriptions will be omitted.

[0061] The data input unit 110 inputs, from the first transmission unit 320 of the vehicle 300, the opening and closing time information of each door 210 including vehicle identification information (for example, information on which vehicle 300 it is obtained from) and door system identification information (information on which door system 200 it is obtained from), and outputs it to the storage unit 120 and the failure prediction diagnosis unit 130.

[0062] Here, as a method for inputting the opening and closing time information in the data input unit 110, when directly inputting from the first transmission unit 320 of the vehicle 300 to the failure prediction diagnosis system 100 via public wireless communication or the like, or when the vehicle has a function capable of transmitting to a storage area constructed on a server or cloud environment installed at a vehicle base or the like, it is assumed that the failure prediction diagnosis system 100 is installed in an environment where it can be connected to this storage area and input from this storage area, etc.

[0063] The memory unit 120 acquires the reference opening / closing time information of each door 210 of the door system 200 that matches the door system identification information from the memory area, and outputs it to the fault prediction diagnosis unit 130. Further, the opening / closing time information of each door 210 is input from the data input unit, and the reference opening / closing time information of each door 210 of the door system 200 that matches the door system identification information is updated and stored in the memory area. Details of the operation of the memory unit 120 will be described later.

[0064] The fault prediction diagnosis unit 130 inputs the opening / closing time information of each door 210 from the data input unit 110 and the reference opening / closing time information of each door 210 of the door system 200 that matches the door system identification information from the memory unit 120, respectively. Based on the input information, it diagnoses the fault prediction, and outputs the diagnosis result to the driver, the driving command (driving command center), or the maintenance section (vehicle base), etc. The output method to the driver, the driving command (driving command center), or the maintenance section (vehicle base), etc. is the same as that in the first embodiment, so the description is omitted. Further, the operation mode (processing flow) of the fault prediction diagnosis unit 130 will be described later.

[0065] The management unit 220 of the door system 200 inputs the opening / closing command from the second transmission unit 330 of the vehicle 300, and outputs the opening / closing command to the opening / closing device 211 of each door 210, respectively. Further, the opening / closing state (open state or closed state) of each door is input from the opening / closing device 211, and output to the second transmission unit 330 of the vehicle 300.

[0066] The vehicle information control unit 310 of the vehicle 300 communicates with the data input unit 110 of the fault prediction diagnosis system 100 via the first transmission unit 320. Further, the vehicle information control unit 310 communicates with the management unit 220 of the door system 200 via the second transmission unit 330, outputs the opening / closing command to the management unit 220, and inputs the opening / closing state of each door 210 from the management unit 220.

[0067] Furthermore, the vehicle information control unit 310 calculates the opening / closing time information of each door 210 from the input closing state of each door 210, and attaches the vehicle identification information and the door system identification information to this opening / closing time information and outputs it to the data input unit 110. Here, the method for calculating the opening and closing time information is shown below. · Opening time: The time from when the vehicle information control unit 310 transmits the door open signal until the management unit 220 receives that the opening and closing state information of each door 210 has changed to the open state. · Closing time: The time from when the vehicle information control unit 310 transmits the door close signal until the management unit 220 receives that the opening and closing state information of each door 210 has changed to the closed state.

[0068] (Operation of the storage unit 120) FIG. 7 is a diagram showing an example of the processing flow of the storage unit 120 in the second embodiment. Hereinafter, only the differences from the first embodiment will be described, and the execution entity of each processing step is the processing unit included in the storage unit 120, but the description of the entity is omitted.

[0069] In step S1401, the door system identification information included in the opening and closing time information is acquired from the data input unit 110. In step S1402, the door system 200 that matches the door system identification information is selected. In step S1403, the reference time information of each door 210 of the door system 200 is acquired from the storage area and output to the fault prediction diagnosis unit 130.

[0070] Subsequent processing contents of step S1002 and step S1003 are the same as those in the first embodiment, so the description is omitted. The processing from step S1404 to step S1008 hereinafter loops for the number of doors 210 (= opening and closing devices 211) of the door system 200 and is performed for each opening and closing time information of each door 210.

[0071] In step S1404, the reference time information, total opening and closing time information (total opening time and total closing time), and total opening and closing count information (total opening count and total closing count) of each door 210 of the door system 200 are acquired from the storage area. The processing contents from step S1005 to step S1008 are the same as those in the first embodiment, so the description is omitted.

[0072] (Operation of Fault Prediction Diagnosis Unit 130) FIG. 8 is a diagram showing an example of the processing flow of the fault prediction diagnosis unit 130 in the second embodiment. Hereinafter, only the differences from the first embodiment will be described, and although the execution subject of each processing step is the fault prediction diagnosis unit 130, the description of the subject will be omitted hereinafter.

[0073] The processing contents in steps S1101 to S1103, step S1105, step S1106, and step S1109 are the same as those in the first embodiment, and thus the description thereof will be omitted. However, the fault mode determination process in step S1107 is different from that in the first embodiment, and will be described later.

[0074] In step S1501, the values of the fault prediction counters of the management unit 220 in the door system 200 that matches the door system identification information and the values of the fault prediction counters of all the doors 210 are each initialized to 0. In step S1502, the value of the fault prediction counter of the vehicle 300 that matches the vehicle identification information is initialized to 0.

[0075] In step S1503, it is determined whether there is a device whose value of any fault mode in the vehicle 300 that matches the vehicle identification information, the management unit 220 in the door system 200 that matches the door system identification information, and each door 210 is other than 0. If there is (Yes), the process proceeds to step S1109; if not (No), the process proceeds to step S1105.

[0076] (Fault Mode and Fault Mode Determination Process) Next, regarding the fault mode and the fault mode determination process, only the differences from the first embodiment will be described. In the fault mode in the second embodiment, in addition to the fault mode values 0 to 4 in the first embodiment, the following fault mode values are defined · Fault mode value '5': There is a fault prediction in the second transmission unit 330 of a specific vehicle 300

[0077] FIG. 9 is a diagram showing an example of a processing flow of a failure mode determination process (step S1107 shown in FIG. 8) for determining each failure mode. Hereinafter, only the differences from the first embodiment will be described, and the execution subject of each processing step is the failure omen diagnosis unit 130, but the description of the subject will be omitted hereinafter.

[0078] In step S1201, the same processing as in the first embodiment is performed. If Yes, the process proceeds to step S1601. If No, the process proceeds to step S1206.

[0079] In step S1601, the value of the failure omen counter of the management unit 220 of the door system 200 that matches the door system identification information is incremented by 1. In step S1602, the value of the failure omen counter of the vehicle 300 that matches the vehicle identification information is incremented by 1.

[0080] In step S1203, the same processing as in the first embodiment is performed. If Yes, the process proceeds to step S1204. If No, the process proceeds to step S1603.

[0081] In step S1603, it is determined whether the value of the failure omen counter of the vehicle 300 is greater than the threshold value d2. If Yes, the process proceeds to step S1604. If No, the process proceeds to step S1205. In step S1604, the value of the failure mode is set to 5 and the process ends. That is, it is determined that there is a failure omen in the second transmission unit 330 that communicates with the management unit 220 of the corresponding door system 200 in the corresponding vehicle 300.

[0082] Since the processing contents of steps S1205 and S1206 are the same as those in the first embodiment, the description thereof is omitted.

[0083] (Function and effect) As described above, since the failure omen diagnosis system according to the second embodiment performs failure omen diagnosis of the door system that controls the operation of the opening / closing device by receiving an opening / closing command from the vehicle, it is also possible to detect a failure omen of the communication device between the vehicle and the door device.

[0084] In addition, the fault prediction diagnosis system has a function capable of determining whether a fault prediction has occurred in the communication device on either the vehicle side or the door system side, and a function of specifying which vehicle or which door system the fault prediction has occurred in when there are a plurality of vehicles and door systems.

[0085] That is, the fault prediction diagnosis system according to the second embodiment enables detection of a fault prediction of the entire door system including the communication device with the vehicle in a door system that controls the operation of the opening / closing device by receiving an opening / closing command from the vehicle.

[0086] As described above, the first and second embodiments of the present invention have been described. However, the present invention is not limited to the above-described first and second embodiments, and various modifications are possible without departing from the gist of the present invention. For example, the above-described first and second embodiments have been described in detail for easy understanding of the present invention, but are not necessarily limited to those having all the configurations described. Other aspects conceivable within the scope of the technical idea of the present invention are also included in the scope of the present invention.

[0087] In addition, regarding each of the above-described configurations, functions, processing units, etc., part or all of them may be realized in hardware, for example, by designing them with an integrated circuit or the like. Furthermore, each of the above-described configurations and functions, etc. may be realized in software by a processor interpreting and executing a program for realizing each function. Information such as programs, tables, and files for realizing each function can be stored in a storage device such as a memory, a hard disk, an SSD (Solid State Drive), or a storage medium such as an IC card, an SD card, or a DVD.

[0088] 100... Fault prediction diagnosis system, 110... Data input unit, 120... Storage unit, 130... Fault prediction diagnosis unit, 200... Door system, 210... Door, 211... Opening / closing device, 220... Management unit, 300... Vehicle, 310... Vehicle information control unit, 320... First transmission unit, 330... Second transmission unit

Claims

1. A failure prediction diagnosis system for diagnosing a failure prediction of a door system having a plurality of doors, a plurality of opening / closing devices for controlling the opening and closing of each of the plurality of doors, and a management unit for instructing the opening and closing timings of each of the plurality of doors to the plurality of opening / closing devices, comprising a data input unit for inputting information regarding the opening and closing times of each of the plurality of doors from the door system, a storage unit for storing information regarding the opening and closing times of each of the plurality of doors acquired from the data input unit, including past information, and a failure prediction diagnosis unit for comparing the information regarding the opening and closing times acquired from the data input unit with the information including the past information regarding the opening and closing times acquired from the storage unit, and diagnosing the failure prediction of the door system, wherein, when there is a difference between the opening and closing times of some of the plurality of doors and the past opening and closing times of the corresponding doors, the failure prediction diagnosis unit diagnoses that there is a failure prediction in the opening / closing device of the some of the doors, and when there is a difference between the opening and closing times of all of the plurality of doors and the past opening and closing times of all of the doors, the failure prediction diagnosis unit diagnoses that there is a failure prediction in the management unit. A failure prediction diagnosis system characterized by the above.

2. The failure prediction diagnosis system according to claim 1, wherein the past information regarding the opening and closing times of each of the plurality of doors is updated from the information regarding the opening and closing times of each of the plurality of doors and the information regarding the past total opening and closing times and the total number of opening and closing operations of each of the plurality of doors, and the storage unit stores the opening and closing times serving as a reference for diagnosing the failure prediction for each of the plurality of doors. A failure prediction diagnosis system characterized by the above.

3. The failure prediction diagnosis system according to claim 1, wherein when the failure prediction diagnosis unit diagnoses that there is a failure prediction, the failure prediction is notified by at least one of screen display and voice alert. A failure prediction diagnosis system characterized by the above.

4. The failure prediction diagnosis system according to any one of claims 1 to 3, wherein when the failure prediction diagnosis unit diagnoses that there is a failure prediction in the opening / closing device of the some of the doors, and further, when the number of opening and closing operations by the opening / closing device until the diagnosis is greater than the number of opening and closing operations assumed from the service life of the device or component constituting the opening / closing device, the failure prediction diagnosis unit determines that there is a failure prediction in the device or the component. A failure prediction diagnosis system characterized by the above.

5. The failure prediction diagnosis system according to any one of claims 1 to 3, When the failure prediction diagnosis unit diagnoses that there is a failure prediction in the opening / closing device of the part of the doors, and further, when the number of opening / closing operations by the opening / closing device until the diagnosis is equal to or less than the number of opening / closing operations assumed from the service life of the devices or components constituting the opening / closing device, if both the opening time and the closing time of the part of the doors are different from the past opening time and closing time of the doors, it is determined that there is a horizontal failure prediction in the part of the doors or the rail portion supporting the doors, and if either the opening time or the closing time of the part of the doors is different from the past opening time or closing time of the doors, it is determined that there is a vertical failure prediction in the part of the doors or the rail portion supporting the doors A failure prediction diagnosis system characterized by the above.

6. A failure prediction diagnosis system according to any one of Claims 1 to 3, when the management unit of the door system and the data input unit of the failure prediction diagnosis system communicate via a plurality of external devices, when the failure prediction diagnosis unit diagnoses the failure prediction for the information on the opening / closing time acquired via a part of the plurality of external devices, it determines that there is a failure prediction in the part of the external devices, and when it diagnoses the failure prediction for the information on the opening / closing time acquired via all of the plurality of external devices, it determines that there is the failure prediction described in Claim 1 in the door system A failure prediction diagnosis system characterized by the above.

7. A failure prediction diagnosis system according to Claim 6, when there are also a plurality of door systems, identification information is given to each of the plurality of external devices and the plurality of door systems, and the failure prediction diagnosis unit identifies the door system and the external device for which the failure prediction has been diagnosed using the identification information A failure prediction diagnosis system characterized by the above.

8. A failure prediction diagnosis method for diagnosing the failure prediction of a door system having a plurality of doors, a plurality of opening / closing devices for controlling the opening and closing of the plurality of doors, and a management unit for instructing the opening / closing timings of the plurality of doors for each of the plurality of opening / closing devices, inputting information on the opening / closing time of each of the plurality of doors from the management unit, storing the information on the opening / closing time of each of the plurality of doors including the past information, Compare the information regarding the opening and closing times with the information including the past portion related to the opening and closing times. If the opening and closing times of some of the plurality of doors differ from the past opening and closing times of those doors, diagnose that there is a sign of failure in the opening and closing device of that part of the doors. If the opening and closing times of all of the plurality of doors differ from the past opening and closing times of all of those doors, diagnose that there is a sign of failure in the management unit A method for diagnosing a sign of failure, characterized by the above.

9. The method for diagnosing a sign of failure according to claim 8, wherein Update the past information regarding the opening and closing times of each of the plurality of doors from the information regarding the opening and closing times of each of the plurality of doors and the information regarding the past total opening and closing times and total opening and closing frequencies of each of the plurality of doors, and store it as the opening and closing time serving as a criterion for diagnosing the sign of failure for each of the plurality of doors A method for diagnosing a sign of failure, characterized by the above.

10. The method for diagnosing a sign of failure according to claim 8, wherein When it is diagnosed that there is a sign of failure, notify the sign of failure by at least one of screen display and sound buzzer A method for diagnosing a sign of failure, characterized by the above.

11. The method for diagnosing a sign of failure according to any one of claims 8 to 10, wherein When it is diagnosed that there is a sign of failure in the opening and closing device of that part of the doors, and further, if the number of opening and closing operations by the opening and closing device until the diagnosis is more than the number of opening and closing operations assumed from the service life of the device or parts constituting the opening and closing device, determine that there is a sign of failure in the device or the parts A method for diagnosing a sign of failure, characterized by the above.

12. The method for diagnosing a sign of failure according to any one of claims 8 to 10, wherein When it is diagnosed that there is a sign of failure in the opening and closing device of that part of the doors, and further, if the number of opening and closing operations by the opening and closing device until the diagnosis is less than or equal to the number of opening and closing operations assumed from the service life of the device or parts constituting the opening and closing device, when both the opening time and the closing time of that part of the doors are different from the past opening time and closing time of that door, determine that there is a sign of failure in the horizontal direction in that part of the doors or the rail part supporting that door. When either the opening time or the closing time of that part of the doors is different from the past opening time or closing time of that door, determine that there is a sign of failure in the vertical direction in that part of the doors or the rail part supporting that door A method for diagnosing a sign of failure, characterized by the above.

13. The method for diagnosing a sign of failure according to any one of claims 8 to 10, wherein: when the management unit of the door system communicates via a plurality of external devices, when diagnosing the sign of failure for the information on the opening / closing time obtained via some of the plurality of external devices, it is determined that there is such a sign of failure in the some external devices, and when diagnosing the sign of failure for the information on the opening / closing time obtained via all of the plurality of external devices, it is determined that there is a sign of failure according to claim 8 in the door system The method for diagnosing a sign of failure is characterized by the above.

14. The method for diagnosing a sign of failure according to claim 13, wherein: when there are also a plurality of door systems, identification information is given to each of the plurality of external devices and the plurality of door systems, and the door systems and external devices for which the sign of failure is diagnosed are identified using the identification information The method for diagnosing a sign of failure is characterized by the above.

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