Elevator abnormality diagnosis device, elevator system, elevator abnormality diagnosis method, and elevator abnormality diagnosis program

Abstract

To provide a diagnostic device for an elevator that is able to detect an occurrence of opening / closing anomaly of a door.SOLUTION: An anomaly diagnostic device for an elevator including a signal processing unit that diagnoses an opening / closing anomaly of a door, includes: an anomaly diagnostic sensor that detects information for diagnosing the opening / closing anomaly of the door; and a door opening / closing sensor that detects an external signal of the elevator. The signal processing unit includes: a diagnosis section extracting unit that detects a diagnosis section for detecting the opening / closing anomaly of the door by using a detection result detected by the door opening / closing sensor; and an anomaly diagnostic unit that performs an anomaly diagnosis by using the detection result detected by the anomaly diagnostic sensor in the diagnosis section extracted by the diagnosis section extracting unit.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an elevator abnormality diagnosis device, an elevator system, an elevator abnormality diagnosis method, and an elevator abnormality diagnosis program. [Background technology]

[0002] One technology related to diagnosing elevator door operation is disclosed in Patent Document 1 below. Patent Document 1 states that "an elevator diagnostic device that performs diagnosis based on measurement values ​​from a magnetic sensor installed on the landing side of the car, comprising: a floor determination unit that determines the floor at which the car will stop based on the measurement values; an open / close button operation determination unit that determines the operation of the open button and the close button based on the measurement values; and a usage status recording unit that records the operation of the open button and the close button for each floor." [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-185107 Summary of the Invention [Problem to be solved by the invention]

[0004] This technology is said to be able to improve the situation before a malfunction occurs by inspecting the door when the door's opening / closing status changes, such as an increase in the number of reversals. However, the door's opening / closing status detected by the magnetic sensor used in this technology is already in a malfunction state or is in a state just before a malfunction, and it cannot detect the door abnormality at an earlier stage, i.e., the cause of the change in the door's opening / closing status, such as a foreign object getting caught in the door rail or door sill.

[0005] Therefore, an object of the present invention is to provide an elevator diagnostic device, an elevator system, an elevator abnormality diagnostic method, and an elevator abnormality diagnostic program that are capable of detecting the occurrence of door opening / closing abnormalities. [Means for solving the problem]

[0006] In order to solve the above problems, for example, the configurations described in the claims are adopted. The present application includes multiple means for solving the above-mentioned problems, and one example thereof is an elevator abnormality diagnosis device equipped with a signal processing unit that diagnoses door opening / closing abnormalities, the device comprising an abnormality diagnosis sensor that detects information for diagnosing the door opening / closing abnormality, and a door opening / closing sensor that detects external signals from the elevator, the signal processing unit having a diagnosis section extraction unit that extracts a diagnosis section for detecting the door opening / closing abnormality using the detection result detected by the door opening / closing sensor, and an abnormality diagnosis unit that performs abnormality diagnosis using the detection result detected by the abnormality diagnosis sensor within the diagnosis section extracted by the diagnosis section extraction unit. [Effects of the Invention]

[0007] According to the present invention, it is possible to provide an elevator diagnostic device, an elevator system, an elevator abnormality diagnostic method, and an elevator abnormality diagnostic program that are capable of detecting the occurrence of door opening / closing abnormalities. Problems, configurations, and effects other than those described above will become apparent from the following description of the embodiments. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a configuration diagram of an elevator system according to an embodiment. [Figure 2] 1 is a configuration diagram of an elevator abnormality diagnosis device according to an embodiment. [Figure 3] This is a schematic diagram to explain the lower part of the elevator door structure. [Figure 4] This is a schematic diagram to explain the upper part of the elevator door structure. [Figure 5] 1 is a flowchart (part 1) showing an elevator abnormality diagnosis method according to an embodiment. [Figure 6] FIG. 10 is a diagram showing a signal waveform of a sensor when a foreign object is caught in a door sill. [Figure 7] FIG. 7 is an enlarged view of part (3) in FIG. [Figure 8] 4 is a flowchart (part 2) showing the elevator abnormality diagnosis method according to the embodiment. [Figure 9] 10A and 10B are diagrams illustrating signal waveforms of sensors when foreign matter accumulates on the door rail end portion. [Figure 10] FIG. 10 is a diagram showing experimental data of an experiment on foreign object entrapment in a door sill. [Figure 11] FIG. 11 is a diagram for explaining abnormality diagnosis based on the experimental data of FIG. [Figure 12] FIG. 10 is a diagram showing the analysis results of an experiment on foreign object entrapment in a door sill. [Figure 13] FIG. 10 is a diagram showing experimental data of an experiment on foreign matter accumulation on the door rail end portion. [Figure 14] FIG. 14 is a diagram for explaining abnormality diagnosis based on the experimental data of FIG. [Figure 15] 10A and 10B are diagrams showing the analysis results of an experiment on foreign matter accumulation on the door rail end portion. [Figure 16] FIG. 10 is a diagram showing data from a door opening / closing experiment using an illuminance sensor as a door opening / closing sensor. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments of the present invention will be described with reference to the drawings. In each drawing for explaining the following embodiments, the same components are given the same reference numerals, and repeated explanations thereof will be omitted as much as possible.

[0010] <Elevator System> Fig. 1 is a configuration diagram of an elevator system 1 according to an embodiment. The elevator system 1 shown in this figure includes an elevator device 1a and an operation control device 1b for managing the operation of the elevator device 1a. The operation control device 1b is for managing the operation of, for example, multiple elevator devices 1a, and is provided in a control center located remotely from each of the elevator devices 1a.

[0011] Each elevator device 1a is installed in, for example, a multi-story building. This elevator device 1a includes a track 10 arranged vertically (or horizontally in some cases) penetrating the building, and a car 20 that travels within the track 10. The elevator device 1a also includes landing doors 30 on the side walls of the track 10 on each floor of the building. When the car 20 arrives at the landing on each floor, the landing doors 30 engage with car doors 20a provided on the car 20, and open and close in accordance with the drive of the car doors 20a. Note that, hereinafter, when simply referred to as "doors," this refers to both the landing doors 30 and the car doors 20a.

[0012] Inside the car 20, there are provided operation buttons such as an open button and a close button for opening and closing the doors, and a destination floor button for specifying a destination floor (all of which are not shown). In addition, near each landing door 30, a landing button (not shown) for calling the car 20 to that landing is provided as an operation button. Each elevator device 1a is equipped with an elevator control device (not shown here). Operation signals from each of the above operation buttons are input to the elevator control device via a tail cord or the like (not shown here). Based on these input signals, the elevator control device controls the raising and lowering of the car 20 and the opening and closing of the doors.

[0013] The elevator apparatus 1a also has a sensor box 40 arranged on top of the elevator car 20. The sensor box 40 may be provided externally to the elevator apparatus 1a, for example. Here, the term "externally attached" in relation to the sensor box 40 and each component described below means that it can be installed on the elevator apparatus 1a afterward, and specifically indicates that it can be attached to the elevator apparatus 1a with screws, adhesive tape, glue, etc. Therefore, it indicates a configuration that can be easily removed by removing the screws, adhesive tape, glue, etc.

[0014] Such a sensor box 40 accommodates, for example, the fault diagnosis device 100 described below. The fault diagnosis device 100 is a device for diagnosing door opening / closing abnormalities in the elevator device 1a, and is equipped with various sensors. In particular, this fault diagnosis device 100 is independent of the above-mentioned elevator control device, and is not input with operation signals from the above-mentioned operation buttons.

[0015] Furthermore, by providing an external structure for the sensor box 40 that houses the abnormality diagnostic device 100, various sensors that constitute the abnormality diagnostic device 100 can be externally attached.

[0016] Furthermore, in addition to the sensors that make up the abnormality diagnosis device 100, the sensor box 40 may also house other sensors for measuring various physical quantities, such as a gyro sensor, a barometric pressure sensor, and a temperature sensor. From the standpoint of implementation and cost, it is preferable that the other sensors described above, including the sensors that make up the abnormality diagnosis device 100 described below, be a sensor unit integrated into a single package, but each sensor may also be located on a separate chip.

[0017] The fault diagnosis device 100 described below is accommodated in the sensor box 40. However, each of the components constituting the fault diagnosis device 100 and other sensors are not limited to being provided inside the sensor box 40, as long as they are provided in an appropriate position for each sensor. Furthermore, each of the components constituting the fault diagnosis device 100 and other sensors may be provided separately and externally to, for example, the elevator device 1a.

[0018] <Abnormality diagnosis device 100> FIG. 2 is a configuration diagram of an elevator abnormality diagnosis device 100 according to an embodiment. The abnormality diagnosis device 100 shown in this figure is a device for diagnosing door opening / closing abnormalities in the elevator system 1a shown in FIG. 1. Such an abnormality diagnosis device 100 includes a door opening / closing sensor 101, an abnormality diagnosis sensor 102, and a signal processing unit 103. Below, each of the components that make up the abnormality diagnosis device 100 will be described with reference to FIGS. 1 and 2.

[0019] [Door Open / Close Sensor 101] The door open / close sensor 101 is for detecting the open / closed state of the door. This door open / close sensor 101 may be externally attached to the elevator system 1a and detects external signals from the elevator. In particular, this door open / close sensor 101 is intended to primarily sense physical quantities such as magnetism and light. This makes it possible for this door open / close sensor 101 to detect the timing of door opening and closing without using a control signal from the elevator control device or installing a sensor on a moving part that opens and closes the door.

[0020] Specifically, a magnetic sensor, an illuminance sensor, a photoelectric sensor, a distance measurement sensor, a camera, etc. are used as the door opening / closing sensor 101. These sensors are preferably used because they can detect the movement of the door opening / closing without contact and do not need to be attached directly to the door, door belt, or other moving parts that move when the door is opened or closed.

[0021] Of these, a magnetic sensor that measures magnetic flux density is typically used as the door opening / closing sensor 101. Because door panel components such as the landing door 30 and the car door 20a are made of magnetized iron or other materials, it is possible to detect whether the door is open or closed by measuring changes in magnetic flux density with a magnetic sensor. The magnetic sensor may be a sensor whose sensitivity direction is only one axis, or a sensor that measures magnetism in three mutually orthogonal axis directions. Such magnetic sensors are preferably used as the door opening / closing sensor 101 because they are less susceptible to the structure of the road and their signals are easy to analyze.

[0022] However, for example, if the door panel is made of a material such as resin, there is no change in magnetic flux density when the door is opened or closed, and therefore no signal change occurs when the door is opened or closed. In such a case, to use a magnetic sensor as the door opening / closing sensor 101, a signal change can be obtained by attaching magnetized iron or a magnet to the door panel.

[0023] Furthermore, when an illuminance sensor is used as the door opening / closing sensor 101, the illuminance sensor is attached to the top of the elevator car 20. As a result, when the door opens and light from the building shines into the normally dark running track 10, the illuminance sensor detects the light that has entered. Therefore, the open / closed state of the door can be detected from the change in the amount of light detected by the illuminance sensor. However, in the case of an elevator device 1a in which the outer wall of the running track is transparent, the change in the amount of light that reaches the illuminance sensor due to the opening and closing of the door is small, making it difficult to detect the open / closed state of the door with the illuminance sensor. In such cases, it is preferable to use a sensor other than an illuminance sensor as the door opening / closing sensor 101.

[0024] Furthermore, when a distance measuring sensor or a photoelectric sensor is used as the door opening / closing sensor 101, the sensor is attached to the top of the car 20 with the sensing direction facing the door. This makes it possible to determine whether or not a door has passed in front of the sensor. When a distance measuring sensor or a photoelectric sensor is used, the sensor is installed at multiple points and the door position can be estimated with higher accuracy by detecting whether or not a door has passed at each point.

[0025] Furthermore, when a camera is used as the door opening / closing sensor 101, the camera is installed in a position where it can monitor the movement of the door and detect the opening / closing state of the door. Furthermore, while the above-mentioned magnetic sensors, illuminance sensors, distance sensors, photoelectric sensors, etc. all have the advantage of being inexpensive and requiring simple signal processing, a camera has the advantage of being able to obtain detailed image information around the door, and therefore be able to determine whether passengers are getting on or off in addition to determining whether the door is open or closed.

[0026] [Abnormality diagnosis sensor 102] The abnormality diagnostic sensor 102 is used to diagnose whether there is an abnormality in the door opening / closing state. This abnormality diagnostic sensor 102 may be externally attached to the elevator system 1a, and detects information for diagnosing abnormalities in the door opening / closing state. The abnormality diagnostic sensor 102 mainly senses acceleration and sound. This makes it possible for the abnormality diagnostic sensor 102 to obtain a signal when an abnormality occurs in the door opening / closing state, without using a control signal from the elevator control device or installing a sensor on a moving part during the door opening / closing operation.

[0027] Specifically, the abnormality diagnosis sensor 102 is at least one of an acceleration sensor (or a vibration sensor) that measures abnormal acceleration (or abnormal vibration) and a sound sensor that measures abnormal sound.

[0028] The acceleration sensor may be a sensor that is sensitive in only one axis direction, or a sensor that measures acceleration in three mutually orthogonal axes. Acceleration sensors are preferably used as the abnormality diagnosis sensor 102 because they are less susceptible to the effects of environmental sounds around the elevator.

[0029] The sound sensor may be a sensor such as an IC recorder that records at a high sampling rate of 44.1 kHz or the like to enable highly accurate sound analysis. Alternatively, the sound sensor may be a noise level sensor that reduces the number of data points to the minimum required for diagnosis and records sound pressure at a sampling rate of about 10 Hz.

[0030] When comparing acceleration sensors and sound sensors, acceleration sensors have the advantage of being less susceptible to noise when used in extremely noisy places such as train stations. On the other hand, sound sensors have the advantage of being able to acquire data at a high sampling rate, making it possible to estimate the location of abnormal sounds through sound wave analysis, etc.

[0031] Note that if the sensors constituting the fault diagnosis device 100 are attached to moving parts that move when the door is driven, such as the door panel that constitutes the door, the member that suspends the door, or the door belt that moves with the door, there is a risk of damaging the drive unit of the elevator device 1a or the sensor itself when the door is opened or closed. Therefore, it is preferable to attach the sensor box 40 that houses the fault diagnosis device 100 to a location where the sensor position does not move when the door is opened or closed, such as the top of the elevator car 20. However, if the fault diagnosis sensor 102 is an acceleration sensor, it may be attached to the door panel, for example, to enable more sensitive detection of vibrations occurring in the door.

[0032] [Signal processing unit 103] The signal processing unit 103 processes the signals measured by the door opening / closing sensor 101 and the abnormality diagnosis sensor 102 to determine whether or not there is an abnormality in the door opening / closing state. This signal processing unit 103 is configured by a computer. The computer is hardware used as a so-called computer, and includes a CPU (Central Processing Unit), RAM (Random Access Memory), and non-volatile storage units such as ROM (Read Only Memory) and HDD (Hard Disk Drive), as well as a network interface. The signal processing unit 103 configured by a computer executes the elevator abnormality diagnosis method described below using an abnormality diagnosis program stored in the storage unit of the computer.

[0033] The signal processing unit 103 has the following functional units: a switching signal acquiring unit 103a, a diagnostic signal acquiring unit 103b, a diagnostic section extracting unit 103c, a feature amount calculating unit 103d, an abnormality diagnosing unit 103e, and a notifying unit 103f.

[0034] Of these, the opening / closing signal acquiring unit 103a acquires a signal measured by the door opening / closing sensor 101 (hereinafter referred to as the opening / closing signal [Sm]) from the door opening / closing sensor 101. The diagnostic signal acquiring unit 103b acquires a signal measured by the abnormality diagnosis sensor 102 (hereinafter referred to as the diagnostic signal [Sd]) from the abnormality diagnosis sensor 102. Note that the opening / closing signal acquiring unit 103a and the diagnostic signal acquiring unit 103b may acquire signals via either a wired or wireless connection. Therefore, the signal processing unit 103 may be physically separated from the door opening / closing sensor 101 and the abnormality diagnosis sensor 102.

[0035] The diagnostic section extraction unit 103c extracts a diagnostic section for diagnosing a door opening / closing abnormality based on the waveform data of the opening / closing signal [Sm] acquired by the opening / closing signal acquisition unit 103a. The feature calculation unit 103d calculates a feature for diagnosing a door opening / closing abnormality based on the signal (waveform data) of the diagnostic section extracted by the diagnostic section extraction unit 103c from the waveform data of the diagnostic signal [Sd] acquired by the diagnostic signal acquisition unit 103b. The abnormality diagnosis unit 103e diagnoses whether or not there is a door opening / closing abnormality based on the feature calculated by the feature calculation unit 103d. The notification unit 103f notifies the operation management device 1b of the diagnosis result by the abnormality diagnosis unit 103e. The processing procedures performed by the above-mentioned functional units will be described in detail below in the elevator diagnosis method.

[0036] <Elevator door structure> Next, the elevator door structure for which opening / closing abnormalities are diagnosed by the abnormality diagnosis device 100 configured as described above will be described using the structure of the hall door 30 as an example, but the structural parts to be described are the same for the car door 20a.

[0037] FIG. 3 is a schematic diagram illustrating the lower part of an elevator door structure. As shown in this figure, a landing door 30 has a door panel 31 and a door sill 32 disposed below the door panel 31. The upper surface of the door sill 32 is provided with a sill groove 33 extending in the opening and closing direction of the door panel 31. A guide shoe 34 is attached to the lower end of the door panel 31 so as to protrude into the sill groove 33, and the guide shoe 34 is movable along the sill groove 33. As a result, when the door opens or closes, the movement of the door panel 31 is guided by the guide shoe 34, which consequently suppresses twisting or tilting of the door panel 31, enabling smooth opening and closing operations.

[0038] FIG. 4 is a schematic diagram illustrating the upper part of an elevator door structure, and is a front view showing the upper part of the door when the door is closed. As shown in this figure, the landing door 30 has a door rail 35 above the door panel 31. A hanger roller support plate 36 is also extended from the upper end side of the door panel 31, and a hanger roller 37 fixed to the hanger roller support plate 36 runs on the door rail 35. This allows the door panel 31, which is hung from the door rail 35 via the hanger roller 37, to move horizontally along the door rail 35.

[0039] Furthermore, the hanger roller support plate 36 is provided with a key member 38 that constitutes an electromagnetically driven door lock drive mechanism. This key member 38 has a bent tip shape and extends in the door closing direction, and is locked by engaging with a hook member 39 that extends from the door closing direction. If this door structure is a double-door structure having two door panels 31, each door panel 31 is provided with a hanger roller support plate 36 and a hanger roller 37, and the key member 38 is provided on one hanger roller support plate 36 and the hook member 39 is provided on the other hanger roller support plate 36. When the door is closed, the key member 38 is pulled by a coil spring (not shown), causing the key member 38 and the hook member 39 to engage with each other and enter a locked state. On the other hand, when the door is in the open state, the coil spring releases its tension, the engagement between the key member 38 and the hook member 39 is released, and the door panel 31 becomes movable, allowing the door panel 31 to move in the direction of the arrow shown in the figure and open the door.

[0040] <Regarding door opening / closing abnormalities diagnosed by the abnormality diagnosis device 100> Next, door opening / closing abnormalities diagnosed by the abnormality diagnosis device 100 shown in Figures 1 and 2 will be described. There are two main causes of door opening / closing abnormalities in the elevator device 1a. One is a foreign object collision abnormality, in which a foreign object A1 gets caught in the sill groove 33 at the bottom of the door as shown in Figure 3, and the door member collides with the caught foreign object A1. The other is a foreign object climbing abnormality, in which a foreign object A2 such as dust accumulates on the end of the door rail 35 at the top of the door as shown in Figure 4, and the door member climbs up on the accumulated foreign object A2. These abnormalities will be described below.

[0041] [Foreign object collision abnormality] As shown in Figure 3, a foreign object collision error occurs when a foreign object A1, such as a pebble, scrap of paper, or sticky substance, becomes trapped in the sill groove 33 and cannot be removed. When the foreign object A1 is trapped in the sill groove 33, the guide shoe 34 or door panel 31 collide with the foreign object A1 as the door closes, causing abnormal vibrations and noise, and resulting in malfunctions such as the door not closing properly. If the foreign object A1 is small, the door panel 31 may push or crush the foreign object A1, eliminating the trapped foreign object. However, if the foreign object A1 is larger than a certain size, the door will not open or close completely and will automatically reverse. This makes the elevator unusable. Therefore, when a foreign object is trapped, especially one that causes the door to reverse, it is necessary to quickly detect it and have maintenance personnel remove the foreign object A1.

[0042] [Foreign object riding abnormality] As shown in Figure 4(b), the foreign object riding abnormality is caused by the accumulation of foreign objects A2 such as dust and dirt on the edge of the door rail 35. In the normal locked state shown in Figure 4(a), a gap [d] of several millimeters is formed between the key member 38 and the hook member 39. As a result, when the door is opened in the direction of the arrow in the figure, the locked state between the key member 38 and the hook member 39 is smoothly released.

[0043] In contrast, as shown in FIG. 4(b), when the door is closed, dust and other particles pushed out by the hanger roller 37 accumulate at the stop position of the hanger roller 37, eventually forming a large foreign object A2. Particularly at the end of the door on the closing side, if foreign object A2 forms at the stop position of the hanger roller 37, the hanger roller 37 runs over the foreign object A2 and is pushed back, causing a slight deviation [g] in the stop position of the hanger roller 37. This deviation [g] in the stop position shifts the position of the key member 38, which is linked to the hanger roller 37, and narrows the gap [d] between the key member 38 and the hook member 39 in the locked state. As a result, when unlocking the key member 38 and the hook member 39, a door lock collision occurs, in which the key member 38 and the hook member 39 get caught on each other. This door lock collision not only causes abnormal noise and vibration, but, if worsened, can even cause the door to remain closed and become stuck, posing a risk of passengers being trapped inside the car. Therefore, it is necessary to prevent this from happening in advance.

[0044] <Elevator abnormality diagnosis method> Next, we will explain the elevator abnormality diagnosis method implemented by the abnormality diagnosis device 100 shown in Figures 1 and 2. The elevator abnormalities diagnosed here are abnormalities in the opening and closing of the elevator doors, and are the foreign object collision abnormality described above using Figure 3 and the foreign object running-up abnormality described above using Figure 4. Below, we will first explain the foreign object collision abnormality diagnosis method, and then we will explain the foreign object running-up abnormality diagnosis method. It is preferable that the abnormality diagnosis device 100 has an abnormality diagnosis program that implements both of these diagnosis methods.

[0045] <Diagnosing foreign object collision abnormalities>

[0046] FIG. 5 is a flowchart (part 1) showing an elevator abnormality diagnosis method according to an embodiment. The procedure shown in the flowchart of FIG. 5 is a procedure for diagnosing an elevator foreign object collision abnormality (see FIG. 3) performed in accordance with the abnormality diagnosis program included in the abnormality diagnosis device 100 shown in FIGS. 1 and 2. FIG. 6 is a diagram showing signal waveforms of sensors when a foreign object is caught in the door sill, and FIG. 7 is an enlarged view of portion (3) in FIG. 6. Of the signal waveforms shown in FIGS. 6 and 7, the opening / closing signal [Sm] is a signal output from a magnetic sensor used as an example of the door opening / closing sensor 101. The diagnosis signal [Sd] is an output signal from an acceleration sensor used as an example of the abnormality diagnosis sensor 102. Note that the door opening / closing sensor 101 and the diagnosis signal [Sd] may be the other sensors described above.

[0047] Hereinafter, a method for diagnosing an abnormality caused by a collision of an elevator with a foreign object will be described along the flow chart of FIG. 5 and with reference to FIGS. 1 to 3 and 6 to 7.

[0048] [Step S101] In step S101, the diagnostic section extraction unit 103c performs a door opening / closing operation determination process based on the opening / closing signal [Sm] acquired by the opening / closing signal acquisition unit 103a. In this case, the opening / closing signal acquisition unit 103a has preset ranges for the door open level [Lo] and the door close level [Lc] for the opening / closing signal [Sm]. The diagnostic section extraction unit 103c determines that the door is in the open state or the door is in the closed state when the opening / closing signal [Sm] acquired by the opening / closing signal acquisition unit 103a is within the ranges set for the door open level [Lo] and the door close level [Lc], respectively.

[0049] When a normal door opening operation is performed, the door level transitions from the door closed level [Lc] to the door open level [Lo] in 5 seconds or less. The door open state is then maintained for 10 seconds or more, during which time passengers get on and off. In addition, during this door open state, the opening / closing signal [Sm] is maintained at the door open level [Lo].

[0050] The example shown in Figure 6 shows signal waveforms for three door-open states (1) to (3). Of these, door-open state (1) shows a case where a passenger gets on or off with the door open. Door-open state (2) shows a case where the open button is pressed to reverse the door while the door is closing. Door-open state (3) shows a case where a foreign object gets caught in the sill and the door reverses. Figure 7 is an enlarged view of door-open state (3).

[0051] [Step S102] In step S102, the diagnostic section extraction unit 103c calculates the door return time [T] based on the door opening operation determination in step S101. Here, the door return time [T] is the time between the last time point [to1] at which the door was determined to be open and the first time point [to2] at which the door was next determined to be open.

[0052] In the example shown in FIG. 6, the calculation of the door return time [T] is repeated four times, and the calculation of each return time [T] is performed each time the flow is repeated.

[0053] [Step S103] In step S103, the diagnostic section extraction unit 103c determines whether the return time [T] calculated in step S102 is less than a threshold time [Tth]. This threshold time [Tth] is set, for example, to the shortest time required for a transition from the door-closed level [Lc] to the door-opened level [Lo] and back to the door-closed level [Lc], or a value less than this. Such a threshold time [Tth] is set, for example, to 7.5 seconds. This determination determines whether the return time [T] calculated in step S102 is a time indicating a normal door open / closed state, or a time indicating a door reversal state in which the door returns to the door-open state due to some factor during the transition from the door-opened state to the door-closed state.

[0054] If the diagnostic section extraction unit 103c determines that the return time [T] is less than the threshold time [Tth] (YES), the process proceeds to step S104. On the other hand, if the diagnostic section extraction unit 103c determines that the return time [T] is not less than the threshold time [Tth] (NO), the process proceeds to step S104a.

[0055] [Step S104a] In step S104a, the diagnostic section extraction unit 103c determines that the door has not reversed and ends the process. Here, door reversal refers to a reversal operation before the door is completely opened or closed. In the example shown in FIG. 6, two of the four door opening and closing operations for which the door return time [T] was calculated transitioned from the door close level [Lc] through the door open level [Lo] to the door close level [Lc] again. Therefore, the return time [T] reaches the threshold time [Tth], it is determined that the door has not reversed, and the process ends.

[0056] [Step S104] On the other hand, in step S104, the diagnosis section extraction unit 103c determines the section of the return time [T] determined to be less than the threshold time [Tth] in step S103 as the door reversal section [Tre].

[0057] In the example shown in Fig. 6, of the four door opening and closing operations for which the door return time [T] was calculated, in two of the door opening and closing states (2) and (3), the door level transitions from the door close level [Lc] to the door close level [Lc] again without passing through the door open level [Lo]. Therefore, in these two cases, the return time [T] is less than the threshold time [Tth], and the door is determined to be in the door reversal section [Tre].

[0058] [Step S105] In step S105, the diagnosis section extraction unit 103c performs a process of setting the median value of the door reversal section [Tre] determined in step S104 as the door reversal time [tr].

[0059] [Step S106] In step S106, the diagnostic section extraction unit 103c extracts, from within the acquisition period of the opening / closing signal [Sm], the section [T0] before the door reversal time [tr] set in step S105 to the section [T1] after the door reversal time [tr] as the diagnostic section [Td1]. The extracted diagnostic section [Td1] is a section set to more efficiently detect abnormal signals occurring in the diagnostic signal [Sd] acquired from the abnormality diagnosis sensor 102, and is a waveform section of the diagnostic signal [Sd] used to determine whether a foreign object has been trapped. The diagnostic section [Td1] is also extracted so as to include the foreign object collision time [tc1] when the door collides with the foreign object.

[0060] As shown in Experimental Example 1 below, in a foreign object collision abnormality, the door collides with a foreign object, causing abnormal vibrations and abnormal sounds, and then the door begins to reverse. If the median value of the door reversal interval [Tre] is the door reversal time [tr], the foreign object collision time [tc1] occurs earlier than the door reversal time [tr], approximately 0.1 to 1.0 seconds before (see the enlarged view in Figure 7). Furthermore, if the foreign object collision diagnosis interval [Td1] is too short, it may not be possible to capture abnormal vibrations or sounds, while if it is too long, it may include other vibrations or sounds, such as those caused by passengers getting on or off.

[0061] Considering these factors, it is preferable to set the foreign object collision diagnosis period [Td1] to approximately 0.1 to 3.0 seconds, so that the diagnosis period [Td1] reliably includes the foreign object collision time [tc1] while also reliably detecting abnormal vibrations and abnormal sounds.

[0062] Furthermore, since the diagnostic signal [Sd] reaches a maximum at the foreign object collision time [tc1], it is preferable to extract the diagnostic section [Td1] so that the foreign object collision time [tc1] is the center value.

[0063] Therefore, the median value of the door reversal section [Tre] is set as the door reversal time [tr], and a time before the door reversal time [tr] (e.g., 0.2 seconds before) is assumed to be the foreign object collision time [tc1]. The diagnostic section extraction unit 103c extracts the period between the period [T0] before the preset door reversal time [tr] and the period [T1] after the door reversal time [tc1] as the diagnostic section [Td1] so that approximately 0.1 to 3.0 seconds before and after the foreign object collision time [tc1] are extracted. As an example, the diagnostic section extraction unit 103c extracts a total of 0.6 seconds from the period [T0] before the door reversal time [tr] (= 0.5 seconds) to the period [T1] after the door reversal time [tr] (= 0.1 seconds) as the diagnostic section [Td1]. Note that since the foreign object collision time [tc1] is before the door reversal time [tr], the period [T1] after the door reversal time [tr] may be set to zero seconds. However, it is preferable that the door reversal time [tr] is included.

[0064] [Step S107] In step S107, the feature amount calculation unit 103d calculates the feature amount of the diagnostic signal [Sd] acquired by the diagnostic signal acquisition unit 103b for the diagnostic section [Td1] extracted in step S106. At this time, the feature amount calculation unit 103d extracts the signal waveform of the diagnostic signal [Sd] corresponding to the diagnostic section [Td1] extracted in step S106 from the diagnostic signal [Sd] acquired by the diagnostic signal acquisition unit 103b. Then, the feature amount calculation unit 103d calculates the feature amount based on the signal waveform of the extracted diagnostic signal [Sd].

[0065] The feature calculated by the feature calculation unit 103d may be, for example, a signal value at a specific time, the amplitude (peak-to-peak) of the signal waveform, or an integral value. Alternatively, the envelope or moving average of the signal may be calculated, and the integral value of the envelope or moving average may be used as the feature. Alternatively, the shape of the signal waveform in the diagnostic interval [Td1] or the entire signal waveform may be used as the feature.

[0066] 6, the normal / abnormal judgment described above is performed for the diagnostic signal [Sd] corresponding to each diagnostic section [Td1] set in the door reversal section [Tre] within the door open / closed states (2) and (3). In contrast, a large amplitude is observed in the signal waveform of the diagnostic signal [Sd] corresponding to the door open / closed state (1), but this waveform is a signal associated with passengers getting on and off with the door open, and is outside the diagnostic section [Td1], so no normal / abnormal judgment is performed.

[0067] [Step S108] In step S108, the abnormality diagnosis unit 103e determines whether the feature calculated by the feature calculation unit 103d is an abnormal value. In this case, the abnormality diagnosis unit 103e may determine whether the value is abnormal by, for example, comparing the feature calculated by the feature calculation unit 103d with a threshold value set for the feature. The abnormality diagnosis unit 103e may also calculate a Mahalanobis distance or the like using multiple feature values ​​to perform threshold determination. In this case, in step S107, the feature calculation unit 103d calculates multiple types of feature values. The abnormality diagnosis unit 103e may also use point data of the entire signal waveform as feature values ​​and perform normal / abnormal determination using machine learning or the like.

[0068] If the abnormality diagnosis unit 103e determines that the feature amount calculated by the feature amount calculation unit 103d is an abnormal value (YES) based on any of the above determinations, the process proceeds to step S109. On the other hand, if the feature amount calculation unit 103d determines that the feature amount calculated is not an abnormal value (NO), the process ends.

[0069] [Step S109] In step S109, the notification unit 103f notifies, for example, the traffic management device 1b, of the door abnormality. At this time, it is preferable that the notification unit 103f simultaneously notifies the traffic management device 1b that a foreign object collision abnormality has occurred. This allows the traffic management device 1b to notify, for example, a terminal device that can be confirmed by a maintenance worker, of the occurrence of a foreign object collision abnormality caused by, for example, a foreign object getting caught in the door sill.

[0070] The traffic management device 1b may determine whether an abnormality alert issued by the notification unit 103f is a false alarm or a true abnormality (i.e., a malfunction state) based on the frequency of abnormality alerts issued. For example, if an abnormality alert for a foreign object is issued only once, the frequency of alerts may increase too much because a passenger may have intentionally stopped the closing operation. Therefore, it is also possible to make a determination based on frequency information such as when the number of abnormality alerts is continuously issued more than a threshold number of times, or when more than N0 of the most recent N door opening and closing events are determined to be abnormal.

[0071] As an example, the traffic management device 1b may record abnormality alert logs, such as those for the past year, received from the notification unit 103f of each elevator device 1a and determine whether an abnormality has occurred based on the abnormality alert logs. Specifically, the traffic management device 1b may calculate the frequency of abnormality alerts from the elevator based on the abnormality logs, and may consider an abnormality alert occurring approximately once a day to be a normal state, assuming that such an alert is the result of a user forcibly stopping the door or other such action. Furthermore, the traffic management device 1b may determine that a true abnormality is likely occurring in the elevator device 1a if abnormality alerts are received continuously or frequently after a certain time. In this way, the traffic management device 1b may use the abnormality alert logs to make a determination, such as taking measures to prompt a maintenance worker to inspect the elevator device 1a. Note that such a determination may be made by the abnormality diagnosis unit 103e after step S108.

[0072] <Modification of the foreign object collision abnormality diagnosis method> In the above-described method for diagnosing a foreign object collision abnormality, the door reversal period [Tre] is determined based on the door return time [T] calculated from the opening / closing signal [Sm] (steps S102 to S104). However, the door reversal period [Tre] may also be determined based on the waveform of the opening / closing signal [Sm]. Furthermore, the door reversal period [Tre] may also be determined by providing a threshold value for the opening / closing signal [Sm] and determining whether the opening / closing signal [Sm] exceeds the threshold value.

[0073] Although an example in which a magnetic sensor is used as the door opening / closing sensor 101 has been described, the door opening / closing sensor 101 may also be an illuminance sensor, or the door reversal section [Tre] may be determined by combining opening / closing signals [Sm] from multiple sensors.

[0074] Furthermore, the above-described method for diagnosing an abnormality caused by a foreign object collision has been described as a method for detecting an abnormality when a foreign object A1 is caught in the sill groove 33. However, the abnormality diagnosis method for diagnosing an abnormality caused by a foreign object collision, which is the abnormality diagnosis method (1), can also diagnose an abnormality when a foreign object accumulates near the center of the door rail 35 shown in FIG. 4 and causes the door to reverse due to an obstruction caused by this foreign object.

[0075] The above-described method for diagnosing a foreign object collision abnormality is a procedure for diagnosing an abnormality by detecting a door reversal occurring while the door is changing from an open state to a closed state. However, this procedure can also be applied to a case where the door reversal occurs while the door is changing from a closed state to an open state. In this case, in step S102, the diagnosis section extraction unit 103c may determine the door return time [T] as the time from the last time the door was determined to be closed to the first time the door was next determined to be closed. The abnormality diagnosis device 100 may perform the above-described method for diagnosing a foreign object collision abnormality for at least one of the transition from the door open state to the door closed state and the transition from the door closed state to the door open state.

[0076] <How to diagnose foreign object riding abnormalities> FIG. 8 is a flowchart (part 2) showing an elevator abnormality diagnosis method according to the embodiment. The procedure shown in the flowchart of FIG. 8 is a procedure for diagnosing an elevator abnormality caused by a foreign object climbing up, which is carried out in accordance with the abnormality diagnosis program of the abnormality diagnosis device 100 shown in FIGS. 1 and 2. FIG. 9 is a diagram showing signal waveforms of sensors when foreign objects accumulate on the door rail end. Of the signal waveforms shown in FIG. 9, the opening / closing signal [Sm] is a signal output from a magnetic sensor used as the door opening / closing sensor 101, and the diagnosis signal [Sd] is an output signal from an acceleration sensor used as the abnormality diagnosis sensor 102. Note that the door opening / closing sensor 101 and the diagnosis signal [Sd] may be the other sensors mentioned above.

[0077] Hereinafter, a method for diagnosing an abnormality caused by a foreign object running up in an elevator will be described along the flow chart of FIG. 8 and with reference to the above-mentioned FIGS. 1, 2, 4, and 9.

[0078] [Step S201] In step S201, the diagnostic section extraction unit 103c performs a door opening / closing operation determination process based on the opening / closing signal [Sm] acquired by the opening / closing signal acquisition unit 103a. This step is performed in the same manner as step S101 described above. That is, the diagnostic section extraction unit 103c determines that the door is in the open state or the door is in the closed state when the opening / closing signal [Sm] acquired by the opening / closing signal acquisition unit 103a is within a range between a preset door open level [Lo] and a preset door close level [Lc].

[0079] 9 shows signal waveforms in two door-open states, (1) and (2). Of these, door-open state (1) shows a case where passengers get on and off with the door open. Door-open state (2) shows a case where the hanger roller 37 is pushed back by a foreign object A2 on the door rail 35 with the door closed, and the key member 38 is caught by the hook member 39 when the key member 38 is released from the lock just before the door opens (see FIG. 4).

[0080] [Step S202] In step S202, the diagnostic section extraction unit 103c extracts the door opening start time [tm] as the door drive start time based on the door opening operation determination in step S201. At this time, the diagnostic section extraction unit 103c extracts the time when the strength of the opening / closing signal [Sm] was last determined to be at the door closing level [Lc] as the door opening start time [tm].

[0081] In the example shown in FIG. 9, the door opening start time [tm] is extracted twice, and the door opening start time [tm] is extracted each time the flow is repeated twice.

[0082] [Step S203] In step S203, the diagnostic section extraction unit 103c extracts, from within the acquisition period of the opening / closing signal [Sm], the section from the section [T0] before the door opening start time [tm] extracted in step S202 to the section [T1] after the door opening start time [tm] as the diagnostic section [Td2]. The extracted diagnostic section [Td2] is a section set to more efficiently detect abnormal signals occurring in the diagnostic signal [Sd] acquired from the abnormality diagnosis sensor 102, and is a waveform section of the diagnostic signal [Sd] used to determine whether a foreign object has run up. The diagnostic section [Td2] is also extracted so as to include c[tc2], where the key member 38 and the hook member 39 get caught and collide.

[0083] As shown in Experimental Example 2 below, in a foreign object running-over abnormality, the door is unlocked and the door begins to open 0.1 to 3.0 seconds after the door lock collision causes abnormal vibrations and abnormal sounds. In other words, the door lock collision time [tc2] occurs 0.1 to 3.0 seconds before the door starts to open [tm]. Furthermore, if the foreign object running-over diagnostic period [Td2] is too short, it may not be possible to detect the abnormal vibrations and abnormal sounds, while if it is too long, it may include other vibrations and sounds caused by passengers getting on and off.

[0084] Considering these factors, it is preferable to set the foreign object running-over diagnosis period [Td2] to approximately 0.1 to 5.0 seconds, so that the foreign object running-over diagnosis period [Td2] includes the door lock collision time [tc2] without fail, while also ensuring that abnormal vibrations and abnormal sounds are detected.

[0085] Furthermore, since the diagnostic signal [Sd] reaches a maximum at the door lock collision time [tc2], it is particularly preferable to extract the diagnostic section [Td2] so that the door lock collision time [tc2] is the center value.

[0086] Therefore, the diagnostic section extraction unit 103c extracts the section [Td2] between the section [T0] before the door-opening start time [tm] and the section [T1] after the door-opening start time [tm], which is set in advance, so that approximately 0.1 to 5.0 seconds before and after the door-lock collision time [tc2] are extracted. As an example, the diagnostic section extraction unit 103c extracts a total of 1.6 seconds, from the section [T0] (=1.5 seconds) before the door-opening start time [tm] to the section [T1] (=0.1 seconds) after the door-opening start time [tm], as the diagnostic section [Td2]. Note that since the door-lock collision time [tc2] is before the door-opening start time [tm], the section [T1] after the door-opening start time [tm] may be set to zero seconds.

[0087] [Step S204] In step S204, the feature amount calculation unit 103d calculates the feature amount of the diagnostic signal [Sd] acquired by the diagnostic signal acquisition unit 103b for the diagnostic section [Td2] extracted in step S204. At this time, the feature amount calculation unit 103d extracts the signal waveform of the diagnostic signal [Sd] corresponding to the diagnostic section [Td2] extracted in step S203 from the diagnostic signal [Sd] acquired by the diagnostic signal acquisition unit 103b. Then, the feature amount calculation unit 103d calculates the feature amount based on the signal waveform of the extracted diagnostic signal [Sd].

[0088] The feature amount calculated by the feature amount calculation unit 103d is the same as the feature amount described in step S107 of the abnormality diagnosis method (part 1) above.

[0089] 9, a large amplitude is observed in the signal waveform of the diagnostic signal [Sd] even in the door open / close state (1) of the door open / close states (1) and (2). However, this amplitude is an amplitude associated with passengers getting on and off while the door is open, and may be outside the diagnostic section [Td2]. It is sufficient to calculate the feature amount of the signal waveform within the diagnostic section [Td2] related to the door opening and closing operation.

[0090] [Step S205] In step S205, the abnormality diagnosis unit 103e determines whether the feature calculated by the feature calculation unit 103d is an abnormal value. This determination is performed in the same manner as the determination described in step S108 of the previous abnormality diagnosis method (part 1).

[0091] [Step S206] In step S206, the notification unit 103f notifies, for example, the traffic management device 1b, of the door abnormality. At this time, it is preferable that the notification unit 103f simultaneously notifies, to the traffic management device 1b, that the door abnormality is an abnormality caused by a foreign object climbing up on the hanger roller. This allows the traffic management device 1b to notify, for example, a terminal device that can be confirmed by a maintenance worker, of the occurrence of the abnormality caused by a foreign object climbing up on the hanger roller.

[0092] As with the previous abnormality diagnosis method (part 1), the operation management device 1b may perform abnormality judgment using abnormality alarm logs, such as those for the most recent year, received from the alarm unit 103f of each elevator device 1a.

[0093] <Modification of the abnormality diagnosis method (part 2)> In the diagnostic method (part 2) described above, the door opening start time [tm] is extracted from the strength of the opening / closing signal [Sm] (step S202). However, the door opening start time [tm] may also be determined based on the waveform of the opening / closing signal [Sm].

[0094] Although an example in which a magnetic sensor is used as the door opening / closing sensor 101 has been described, the door opening / closing sensor 101 may also be an illuminance sensor, or the door reversal section [Tre] may be determined by combining opening / closing signals [Sm] from multiple sensors.

[0095] Furthermore, in determining whether a foreign object has run up to the vehicle door (step S205), the determination of the abnormality may be performed in combination with other characteristic quantities not described above. For example, if a foreign object has run up to the vehicle door while the door is closed, the time required for the door to close completely due to a collision with the door lock may be slightly longer than that required for the door to close normally. In such a case, the time required for the door to close may be used as a characteristic quantity.

[0096] Furthermore, the abnormality diagnosis method (part 2) described above has been described for determining an abnormality when a foreign object A2 is formed at the stop position of the hanger roller 37 at the end of the door closing side. However, if an abnormality is determined when a foreign object A2 is formed at the stop position of the hanger roller 37 at the end of the door opening side, the door opening start time [tm] is extracted as the door drive start time as described above, but the door closing start time may be extracted as the door drive start time.

[0097] Effect of the embodiment According to the embodiment described above, the relationship between the timing of door opening and closing and the occurrence of abnormal vibrations or abnormal sounds can be accurately detected using the opening and closing signal [Sm] obtained from the door opening and closing sensor 101 and the diagnosis signal [Sd] obtained from the abnormality diagnosis sensor 102. This makes it possible to distinguish whether the abnormal vibrations or abnormal sounds are caused by passengers getting on or off when the door is opened, or whether they are caused by abnormal door opening and closing that occurred at other times. Furthermore, it is possible to determine whether the abnormal vibrations or abnormal sounds are caused by door reversal, in which the door reverses before it is fully opened or closed, and whether they occur prior to the start of the door opening or closing operation.

[0098] As a result, as explained in the previous embodiment, it is possible to detect the occurrence of door opening / closing abnormalities, such as the door member colliding with a foreign object caught in the door sill 32 or accumulated on the door rail 35. It is also possible to detect the occurrence of a door lock collision, which occurs when a foreign object accumulates on the edge of the door rail 35 and the door member rides up on the foreign object and is pushed back.

[0099] The door opening / closing sensor 101 and the abnormality diagnosis sensor 102 are either externally mounted or housed in an external sensor box 40. This allows for easy removal by removing screws, adhesive tape, glue, etc. The external door opening / closing sensor 101 and the abnormality diagnosis sensor 102 cannot directly obtain control signals instructing the elevator to operate, but instead detect physical signal changes (door movement and physical quantity changes caused by door movement) resulting from the operation of moving parts such as the elevator and doors. By providing the door opening / closing sensor 101 and the abnormality diagnosis sensor 102 as external devices, these sensors can function as a door opening / closing abnormality diagnosis system even if they are retrofitted to the elevator system 1a. Furthermore, abnormalities can be diagnosed without using elevator control signals. This allows for diagnosis of relay-type elevators that do not have control signals and elevator systems manufactured by other companies where the contents of each control signal are difficult to interpret. Furthermore, the ease of removal and installation from and installation in the elevator facilitates replacement in the event of a sensor failure and facilitates upgrading the sensor itself. [Example]

[0100] Next, an experimental example verifying the effects of the embodiment described above will be shown. In the experiment described below, a magnetic sensor was provided as the door open / close sensor 101, and a sound sensor and an acceleration sensor were provided as the abnormality diagnosis sensor 102 in the sensor box 40, and signals were measured by each sensor when an abnormality occurred.

[0101] <Experimental Example 1: Verification of foreign object collision abnormalities> Figure 10 shows experimental data from an experiment on foreign objects trapped in a door sill. It shows the magnetic signal (open / close signal [Sm]), acceleration signal (diagnostic signal [Sd]), and noise signal (diagnostic signal [Sd]) when a foreign object is trapped in the sill. These signals were obtained when a sufficiently large foreign object was trapped in the sill groove with the door open and the door close button was pressed to move the door. Looking at the magnetic signal value, the magnetic signal initially stabilizes at the door open level, but then fluctuates when the door close button is pressed and the door begins to move. However, due to the collision with the foreign object in the sill groove, the door reverses before settling into the door closed level, returning to the original door open level.

[0102] In the example shown in Figure 10, three attempts to close the door resulted in three door reversals due to collisions with foreign objects. As a result, it was observed that the magnetic signal contained three door reversal waveforms. Using this data, the door reversal interval [Tre] was extracted according to the procedure in the flowchart shown in Figure 5 (step S104), and the median of the door reversal interval [Tre] was set as the door reversal time [tr] (step S105).

[0103] FIG. 11 is a diagram illustrating abnormality diagnosis based on the experimental data of FIG. 10, and shows the calculated door reversal time [Tr] superimposed on FIG. 10. As shown in FIG. 11, we confirmed that the time when the noise volume and acceleration are maximized due to a collision with a foreign object caught in the sill, i.e., the foreign object impact time [tc1], is earlier than the door reversal time [Tr]. Therefore, when the diagnosis period [Td1] is divided into the time before the door reversal time [Tr] (forward section) and the time after the door reversal time [Tr] (rear section), it is preferable to set the forward section longer. Therefore, the section indicated by the dotted line in the figure was extracted so that the section before the door reversal time [Tr] (T0) to the section after the door reversal time [Tr], including the foreign object impact time [tc1], is extracted as the diagnosis period [Td1].

[0104] Figure 12 shows the analysis results of an experiment on foreign object entrapment in a door sill. Here, the peak-to-peak acceleration signal within the diagnostic interval [Td1] was calculated as one of the feature quantities used to determine an abnormality. As another feature quantity, an envelope was drawn for the acceleration value, and then the integral value of the envelope was calculated. The above two types of feature quantities were plotted in feature space to obtain the analysis results shown in Figure 12. Note that Figure 12 plots data from normal door reversal operation and data from when an abnormality occurred due to a foreign object collision with the sill. The Mahalanobis distance was also calculated for the normal data group, and the ranges where the cumulative probability of the normal group was 0.8, 0.95, 0.99, and 0.99999 were plotted as probability ellipses. In other words, points that are not included in even the outermost ellipse have a probability of 10 -5 As can be seen from the results in Figure 12, each abnormal data point is sufficiently far from the normal group, demonstrating that this method can easily determine whether something is normal or abnormal.

[0105] <Experimental example 2: Verification of foreign object riding abnormality> Figure 13 shows experimental data from an experiment on foreign object accumulation on the door rail end, showing the magnetic signal (open / close signal [Sm]), acceleration signal (diagnostic signal [Sd]), and noise signal (diagnostic signal [Sd]) when a foreign object runs onto the door. These signals were obtained when a foreign object was placed on the closed end of the door rail and the door was opened by pressing the door open button.

[0106] In the example shown in Fig. 13, the door was opened and closed three times by attempting to open the door from a closed state, causing three collisions with the door lock due to foreign objects climbing up on it. As a result, it was observed that the magnetic signal contained three door opening and closing waveforms. Using this data, the door opening start time [tm] at which the door transitioned from closed to open was extracted according to the procedure in the flowchart shown in Fig. 8 (step S202).

[0107] FIG. 14 is a diagram for explaining abnormality diagnosis based on the experimental data of FIG. 13 , and shows the extracted door opening start time [tm] superimposed on FIG. 13 . As shown in FIG. 14 , we confirmed that the time when the noise volume and acceleration are maximized due to the door lock collision, i.e., the door lock collision time [tc2], is earlier than the door opening start time [tm]. Therefore, when the diagnosis section [Td2] is divided into the time before the door opening start time [tm] (forward section) and the time after the door opening start time [tm] (rear section), it is preferable to set the forward section longer. Therefore, the section indicated by the dotted line in the figure was extracted so that the section before the door opening start time [tm] (T0) and the section after the door opening start time [tm] (T1), including the door lock collision time [tc2], are extracted as the diagnosis section [Td2]. Here, the section after the door opening start time [tm] (T1) is extracted as zero seconds, and the section up to the door opening start time [tm] is extracted as the diagnosis section [Td2].

[0108] Figure 15 shows the analysis results of an experiment on foreign object accumulation on the door rail end. Here, the peak-to-peak acceleration signal within the diagnostic interval [Td2] was calculated as one of the feature quantities used to determine an abnormality. As another feature quantity, an envelope was drawn for the acceleration value, and then the integral value of the envelope was calculated. The above two types of feature quantities were plotted in feature space to obtain the analysis results shown in Figure 15. Note that Figure 15 plots data from normal door reversal operation and data from when a foreign object climbed up. In addition, the Mahalanobis distance was calculated for the normal data group, and the ranges where the cumulative probability of the normal group was 0.8, 0.95, 0.99, and 0.99999 were drawn as probability ellipses. In other words, points not included in even the outermost ellipse have a probability of 10 -5 As can be seen from the results in Figure 15, each abnormal data point is sufficiently far from the normal group, demonstrating that this method can easily determine whether something is normal or abnormal.

[0109] <Experimental Example 3: Door Open / Close Detection Verification of Illuminance Sensor> Fig. 16 shows data from a door opening / closing experiment using an illuminance sensor as the door opening / closing sensor. The data shown in Fig. 16 is a signal waveform measured by an illuminance sensor installed as the door opening / closing sensor 101 on top of the car 20 (see Fig. 1) when the door was repeatedly opened and closed. As shown in Fig. 16, even when an illuminance sensor was used as the door opening / closing sensor, a signal reflecting the door opening and closing was obtained, demonstrating that the door opening and closing can be detected by the signal from the illuminance sensor.

[0110] Note that the signal data shown in each experimental example is merely an example, and it is expected that the signal shape and other characteristics will differ depending on the experimental environment. For example, if multiple components such as the door panel, hanger roller support plate, and other peripheral components are magnetized in complex ways with different magnetization directions, the magnetic waveform generated by the magnetic sensor until the door transitions from the door closed level to the door open level may also have a similarly complex pattern. In such cases, the algorithm may be modified to determine the open / closed state using the magnetic waveform pattern, rather than determining the open / closed state based on the door closed level or the door open level. Furthermore, in Experimental Examples 1 and 2, examples were shown in which a magnetic sensor was used as the door open / close detection sensor and a vibration sensor and a sound sensor were used as the door abnormality diagnosis sensor, but the technology of the present disclosure is not limited to the above-mentioned experimental examples. For example, as shown in Experimental Example 3, the door open / close can also be detected using an illuminance sensor, so similar results can be obtained when combined with an illuminance sensor.

[0111] The present invention is not limited to the above-described embodiments and modifications, and includes various other modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations. [Explanation of symbols]

[0112] 1... elevator system, 1b... operation control device, 20a... door, 30... landing door, 31...door panel, 36...hanger roller support plate, 37...hanger roller, 100...abnormality diagnosis device, 101...door opening / closing sensor, 102...abnormality diagnosis sensor, 103...signal processing unit, 103c...diagnosis section extraction unit, 103d...feature amount calculation unit, 103e...abnormality diagnosis unit, [Sd]...diagnosis signal (information), [Sm]...opening / closing signal (external signal), [Tre]...door reversal section, [tr]...door reversal time, [Td1], [Td2]...diagnosis section, [tm]...door opening start time (drive start time), [T0]...previous section, [T1]...post next section

Claims

1. In an elevator abnormality diagnosis device equipped with a signal processing unit that diagnoses door opening / closing abnormalities, an abnormality diagnosis sensor that detects information for diagnosing an opening / closing abnormality of the door; Equipped with a door opening / closing sensor that detects external signals from the elevator, The signal processing unit a diagnostic section extraction unit that extracts a diagnostic section for detecting an abnormality in opening or closing of the door using a detection result detected by the door opening / closing sensor; an abnormality diagnosis unit that performs an abnormality diagnosis using a detection result detected by the abnormality diagnosis sensor within the diagnosis section extracted by the diagnosis section extraction unit, The diagnostic section extraction unit a process of detecting a door reversal section in which the door is not fully opened or closed but is reversed based on the detection result detected by the door opening / closing sensor, and extracting a first diagnosis section within the door reversal section as the diagnosis section; and detecting a drive start time of the door based on the detection result detected by the door open / close sensor, and extracting a second diagnosis section including a predetermined time before the drive start time to the drive start time as the diagnosis section. Elevator abnormality diagnostic device.

2. When the median value of the door reversal section is set as the door reversal time and the first diagnosis section is divided into a front section before the door reversal time and a rear section after the door reversal time, the front section is longer than the rear section. The elevator abnormality diagnosis device according to claim 1.

3. When the second diagnostic section is divided into a front section before the door drive start time and a rear section after the door drive start time, the front section is longer than the rear section. The elevator abnormality diagnosis device according to claim 1.

4. a feature amount calculation unit that calculates a feature amount used for door abnormality diagnosis based on the detection result detected by the abnormality diagnosis sensor in the diagnosis section; The feature calculation unit calculates a time required for opening and closing the door based on the detection result detected by the door opening / closing sensor as one of the feature amounts used for door abnormality diagnosis. The elevator abnormality diagnosis device according to claim 1.

5. A magnetic sensor is used as the door opening / closing sensor, The elevator door includes a door panel, a hanger roller, and a magnetized member attached to a hanger roller support plate. The elevator abnormality diagnosis device according to claim 1.

6. a feature amount calculation unit that calculates a feature amount used for door abnormality diagnosis from the detection result detected by the abnormality diagnosis sensor in the diagnosis section; an abnormality diagnosis unit that determines whether the opening and closing operation of the door is normal or abnormal based on the feature amount; The abnormality diagnosis unit uses a Mahalanobis distance to determine whether the door opening and closing operation is normal. The elevator abnormality diagnosis device according to claim 1.

7. the door opening / closing sensor is one of a magnetic sensor, an illuminance sensor, a photoelectric sensor, a distance sensor, and a camera; The abnormality diagnosis sensor is either an acceleration sensor or a sound sensor. The elevator abnormality diagnosis device according to claim 1.

8. The door opening / closing sensor, the abnormality diagnosis sensor, and the signal processing unit are provided externally to the elevator. The elevator abnormality diagnosis device according to claim 1.

9. the first diagnostic period is a time period of 0.1 seconds or more and 3.0 seconds or less, The second diagnostic period is a time period of 0.1 seconds to 5.0 seconds. The elevator abnormality diagnosis device according to claim 1.

10. An elevator system including an elevator device and a traffic management device that manages the operation of the elevator device through communication with the elevator device, The elevator apparatus includes the abnormality diagnosis device according to any one of claims 1 to 9, When an abnormality diagnosis unit of the abnormality diagnosis device diagnoses that an opening / closing operation of the door of the elevator device is abnormal, the abnormality diagnosis device notifies the traffic management device of the abnormality in the opening / closing operation of the door. Elevator system.

11. A diagnostic section extraction unit extracts a diagnostic section for diagnosing door opening / closing abnormalities based on the detection result detected by the door opening / closing sensor, In the elevator abnormality diagnosis method, an abnormality diagnosis unit performs an abnormality diagnosis using a detection result detected by an abnormality diagnosis sensor within the diagnosis section, The diagnostic section extraction unit a process of detecting a door reversal section in which the door is not fully opened or closed but is reversed based on the detection result detected by the door opening / closing sensor, and extracting a first diagnosis section within the door reversal section as the diagnosis section; and detecting a drive start time of the door based on the detection result detected by the door open / close sensor, and extracting a second diagnosis section including a predetermined time before the drive start time to the drive start time as the diagnosis section. How to diagnose elevator abnormalities.

12. An elevator abnormality diagnosis program that causes a signal processing unit to extract a diagnostic section for diagnosing door opening / closing abnormalities based on the detection results detected by a door opening / closing sensor, and to perform abnormality diagnosis within the diagnostic section using the detection results detected by the abnormality diagnosis sensor, The signal processing unit: a process of detecting a door reversal section in which the door is not fully opened or closed but is reversed based on the detection result detected by the door opening / closing sensor, and extracting a first diagnosis section from the door reversal section as the diagnosis section; and detecting a door drive start time based on the detection result detected by the door open / close sensor, and extracting a second diagnosis section including a predetermined time before the drive start time to the drive start time as the diagnosis section. Elevator abnormality diagnosis program.

Images