EP4261172A1

EP4261172A1 - Abnormality diagnosis device for elevator, elevator system, abnormality diagnosis method for elevator, and abnormality diagnosis program for elevator

Info

Publication number: EP4261172A1
Application number: EP23167918.4A
Authority: EP
Inventors: Kazuma Matsui; Rika Baba; Masatoshi Morishita; Takako Mizoguchi; Yasushi Watanabe; Ryuuichi NISHIZAKO
Original assignee: Hitachi Building Systems Co Ltd
Current assignee: Hitachi Building Systems Co Ltd
Priority date: 2022-04-14
Filing date: 2023-04-14
Publication date: 2023-10-18
Also published as: JP2023157106A; CN116902717A

Abstract

There is provided an abnormality diagnosis device (100) for an elevator capable of detecting an occurrence of a door opening/closing abnormality. The abnormality diagnosis device (100) for an elevator includes a signal processing unit (103) that diagnoses an opening/closing abnormality of a door, an abnormality diagnosis sensor (102) that detects information for diagnosing an opening/closing abnormality of the door, and a door opening/closing sensor (101) that detects an external signal of the elevator. The signal processing unit (103) includes a diagnosis section extraction unit (103c) that extracts a diagnosis section for detecting the opening/closing abnormality of the door by using a detection result obtained by detection of the door opening/closing sensor (101), and an abnormality diagnosis unit (103e) that performs abnormality diagnosis by using a detection result obtained by detection of the abnormality diagnosis sensor (102) in the diagnosis section extracted by the diagnosis section extraction unit (103c).

Description

Technical Field

The present invention relates to an abnormality diagnosis device for an elevator, an elevator system, an abnormality diagnosis method for an elevator, and an abnormality diagnosis program for an elevator.

Background Art

As a technique related to diagnose a door operation of an elevator, there is a technique disclosed in Patent Literature 1 below. Patent Literature 1 discloses "an elevator diagnosis device that performs diagnosis based on a measurement value of a magnetic sensor installed on a landing side of a car, the elevator diagnosis device including: a floor determination unit that determines a car stop floor based on the measurement value; an open/close button operation determination unit that determines operations of an open button and a close button based on the measurement value; and a usage status recording unit that records the operations of the open button and the close button for each floor".

Citation List

Patent Literature

Patent Literature 1: JP 2021-185107 A

Summary of Invention

Technical Problem

According to such a technique, when an open/close state of a door changes, for example, the number of reverse rotations increases, improvement before failure is enabled by inspecting the door. However, the open/close state of the door detected by the magnetic sensor used in this technique is already in a failure state or is a state immediately before failure, and it is not possible to detect an occurrence of a door abnormality at the previous stage thereof, that is, an occurrence of a door opening/closing abnormality due to, for example, foreign matter pinched in a door rail or a doorsill, which is the cause of the change in the open/close state of the door.
Therefore, an object of the present invention is to provide an abnormality diagnosis device for an elevator, an elevator system, an abnormality diagnosis method for an elevator, and an abnormality diagnosis program for an elevator, that are capable of detecting an occurrence of an opening/closing abnormality of a door.

Solution to Problem

In order to solve the above problems, for example, configurations described in the claims are adopted.
The present application includes a plurality of means for solving the above problems. As an example, an abnormality diagnosis device for an elevator includes a signal processing unit that diagnoses an opening/closing abnormality of a door, an abnormality diagnosis sensor that detects information for diagnosing an opening/closing abnormality 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 extraction unit that extracts a diagnosis section for detecting the opening/closing abnormality of the door by using a detection result obtained by detection of the door opening/closing sensor, and an abnormality diagnosis unit that performs abnormality diagnosis by using a detection result obtained by detection of the abnormality diagnosis sensor in the diagnosis section extracted by the diagnosis section extraction unit.

Advantageous Effects of Invention

According to the present invention, it is possible to provide an abnormality diagnosis device for an elevator, an elevator system, an abnormality diagnosis method for an elevator, and an abnormality diagnosis program for an elevator, that are capable of detecting an occurrence of an opening/closing abnormality of a door.
Objects, configurations, and advantageous effects other than those described above will be clarified by the descriptions of the following embodiments.

Brief Description of Drawings

Fig. 1 is a configuration diagram of an elevator system according to an embodiment.
Fig. 2 is a configuration diagram of an abnormality diagnosis device for an elevator according to the embodiment.
Fig. 3 is a schematic view for explaining a lower portion of a door structure of an elevator.
Fig. 4 is a schematic diagram for explaining an upper portion of the door structure of the elevator.
Fig. 5 is a flowchart (part 1) illustrating an abnormality diagnosis method for the elevator according to the embodiment.
Fig. 6 is a diagram illustrating a signal waveform of a sensor when a foreign matter is pinched in a doorsill.
Fig. 7 is an enlarged view of a portion (3) in Fig. 6.
Fig. 8 is a flowchart (part 2) illustrating the abnormality diagnosis method for the elevator according to the embodiment.
Fig. 9 is a diagram illustrating a signal waveform of the sensor when a foreign matter is deposited on an end portion of a door rail.
Fig. 10 is a diagram illustrating experimental data of an experiment in which a foreign matter is pinched in a doorsill.
Fig. 11 is a diagram for explaining abnormality diagnosis based on the experimental data in Fig. 10.
Fig. 12 is a diagram illustrating an analysis result of the experiment in which the foreign matter is pinched in the doorsill.
Fig. 13 is a diagram illustrating experimental data of an experiment in which a foreign matter is deposited on the end portion of the door rail.
Fig. 14 is a diagram for explaining abnormality diagnosis based on the experimental data in Fig. 13.
Fig. 15 is a diagram illustrating an analysis result of the experiment in which the foreign matter is deposited on the end portion of the door rail.
Fig. 16 is a diagram illustrating data of a door opening/closing experiment using an illuminance sensor as a door opening/closing sensor.

Description of Embodiments

Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In the drawings for explaining the following embodiment, the same components are denoted by the same reference signs, and repetitive description thereof will be omitted as much as possible.

<<Elevator System>>

Fig. 1 is a configuration diagram of an elevator system 1 according to an embodiment. An elevator system 1 illustrated in Fig. 1 includes an elevator apparatus 1a and an operation management device 1b for managing the operation of the elevator apparatus 1a. Among the elevator apparatus 1a and the operation management device 1b, the operation management device 1b is provided, for example, for managing operations of a plurality of elevator apparatuses 1a, and is provided in a management center disposed remotely from each elevator apparatus 1a.
Each elevator apparatus 1a is installed in a building having a plurality of floors, for example. The elevator apparatus 1a includes a traveling path 10 vertically (in a lateral direction in some cases) penetrating the building and a car 20 traveling in the traveling path 10. The elevator apparatus 1a further includes a landing door 30 on a side wall of the traveling path 10 on each floor of the building. When the car 20 arrives at the landing of each floor, the landing door 30 is engaged with a car door 20a provided in the car 20, and performs an opening/closing operation by driving of the car door 20a. It is assumed that the door simply described in the following indicates both the landing door 30 and the car door 20a.
Operation buttons such as an opening button and a closing button for opening and closing the door and a destination floor button for designating a destination floor (all of which are not illustrated) are provided inside the car 20. A landing button (not illustrated) for calling the car 20 to the landing is provided near each landing door 30, as the operation button. Each elevator apparatus 1a includes an elevator control device (not illustrated here). The operation signal of each of the operation buttons described above is input to the elevator control device via a tail code or the like (not illustrated here). The elevator control device performs lifting/lowering control of the car 20 and opening/closing control of the door based on the input signal.
The elevator apparatus 1a further includes a sensor box 40 disposed at the upper portion of the car 20. The sensor box 40 may be provided to be externally attached to the elevator apparatus 1a, for example. Here, the phase of "externally attached" for the sensor box 40 and each member described below means that the sensor box 40 and each member can be installed later on the elevator apparatus 1a, and specifically, indicates that the sensor box 40 and each member can be attached to the elevator apparatus 1a with a screw, an adhesive tape, an adhesive, or the like. Thus, the phase of "externally attached" indicates that the sensor box 40 and each member are components that are easily detachable by removing the screw, the adhesive tape, the adhesive, and the like.
Such a sensor box 40 accommodates, for example, an abnormality diagnosis device 100 described below. The abnormality diagnosis device 100 is a device for diagnosing a door opening/closing abnormality of the elevator apparatus 1a, and includes various sensors. In particular, it is assumed that the abnormality diagnosis device 100 is independent of the above-described elevator control device, and the operation signal by each of the above-described operation buttons is not input to the abnormality diagnosis device 100.
In addition, the sensor box 40 accommodating such an abnormality diagnosis device 100 has an externally attached structure, so that a configuration in which various sensors constituting the abnormality diagnosis device 100 can be externally attached is made.
In addition to the sensors constituting the abnormality diagnosis device 100, other sensors for measuring various physical quantities such as a gyro sensor, an atmospheric pressure sensor, and a temperature sensor may be accommodated in the sensor box 40. From the viewpoint of mounting and cost, the other sensors described above are preferably a sensor unit integrated into one package including sensors constituting the abnormality diagnosis device 100 described below, but each sensor may be disposed on another chip.
The abnormality diagnosis device 100 described below is accommodated in the sensor box 40. However, each of the components constituting the abnormality diagnosis device 100 and the other sensors are not limited to being provided in the sensor box 40, and may be provided at an appropriate position for each sensor. In addition, each of the components constituting the abnormality diagnosis device 100 and the other sensors may be individually provided to be externally attached to the elevator apparatus 1a, for example.

Fig. 2 is a configuration diagram of the abnormality diagnosis device 100 for the elevator according to the embodiment. The abnormality diagnosis device 100 illustrated in Fig. 2 is a device for diagnosing a door opening/closing abnormality in the elevator apparatus 1a illustrated 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. Each component constituting the abnormality diagnosis device 100 will be described with reference to Figs. 1 and 2.

[Door Opening/Closing Sensor 101]

The door opening/closing sensor 101 detects an open/close state of the door. The door opening/closing sensor 101 may be externally attached to the elevator apparatus 1a, and detects an external signal of the elevator. In particular, it is assumed that the door opening/closing sensor 101 mainly senses physical quantities of magnetism, light, and the like. Thus, the door opening/closing sensor 101 can extract a door opening/closing timing without using a control signal of the elevator control device and without installing a sensor in a movable portion at the time of opening/closing the door.
Specifically, a magnetic sensor, an illuminance sensor, a photoelectric sensor, a distance measuring sensor, a camera, or the like is used as such a door opening/closing sensor 101. The sensors are preferably used because the sensors can detect the movement of the door opening/closing in a non-contact manner, and thus it is not necessary to directly attach the sensors to a member such as a door or a door belt that moves when the door is opened or closed.
Among the sensors, the magnetic sensor that measures magnetic flux density is typically used as the door opening/closing sensor 101. Since the members of a door panel of the landing door 30, the car door 20a, or the like are made of a member such as magnetized iron, it is possible to detect the opening/closing of the door by measuring the change in magnetic flux density by the magnetic sensor. The magnetic sensor may be a sensor having a sensitivity direction that is only one axis direction or a sensor that measures magnetism in three axis directions perpendicular to each other. Such a magnetic sensor is not easily affected by the structure of the traveling path or the like, and is easily subjected to signal analysis, and thus is preferably used as the door opening/closing sensor 101.
However, for example, when the door panel is made of a member of resin or the like, there is no change in magnetic flux density due to opening/closing of the door, and thus, there is no signal change due to opening/closing of the door. In such a case, if the magnetic sensor is used as the door opening/closing sensor 101, it is possible to obtain the signal change by attaching magnetized iron, a magnet, or the like to the door panel.
When an illuminance sensor is used as the door opening/closing sensor 101, the illuminance sensor is attached to the upper portion of the car 20. As a result, when the door is opened, and thus light from the building is allowed to enter the traveling path 10 that is dark in a normal state, the illuminance sensor detects the entered light. Therefore, it is possible to detect the open/close state of the door by the change in the light quantity detected by the illuminance sensor. However, in the case of the elevator apparatus 1a in which the outer wall of the traveling path is transparent, the change in the quantity of light reaching the illuminance sensor due to the opening/closing of the door is small, and thus, it is difficult to detect the open/close state of the door with the illuminance sensor. In such a case, it is preferable to use a sensor other than the illuminance sensor, as the door opening/closing sensor 101.
When a distance measuring sensor or a photoelectric sensor is used as the door opening/closing sensor 101, it is assumed that such a sensor is attached to the upper portion of the car 20 in a state where a sensing direction is directed to the door side. This makes it possible to determine whether or not the door has passed in front of the sensor. When the distance measuring sensor or the photoelectric sensor is used, it is possible to estimate the position of the door with higher accuracy by installing the sensors at a plurality of points and detecting whether the door has passed at each point.
When a camera is used as the door opening/closing sensor 101, the camera is installed at a position where the movement of the door can be monitored, and the open/close state of the door is detected. The magnetic sensor, the illuminance sensor, the distance measuring sensor, the photoelectric sensor, and the like described above all have advantages that the sensors are inexpensive and signal processing is simple. Since the camera can obtain detailed image information near the door, there is an advantage that it is possible to determine whether a passenger gets on or off in addition to determining whether the door is opened or closed.

[Abnormality Diagnosis Sensor 102]

The abnormality diagnosis sensor 102 is for diagnosing whether the open/close state of the door is abnormal. The abnormality diagnosis sensor 102 may be externally attached to the elevator apparatus 1a, and detects information for diagnosing an opening/closing abnormality of the door. The abnormality diagnosis sensor 102 mainly senses an acceleration and sound. As a result, the abnormality diagnosis sensor 102 can acquire a signal when an abnormality occurs in the open/close state of the door, without using a control signal of the elevator control device and without installing a sensor in the movable portion during a door opening/closing operation.
Specifically, at least one of an acceleration sensor (or a vibration sensor) that measures an abnormal acceleration (or abnormal vibration) or a sound sensor that measures an abnormal sound is used as the abnormality diagnosis sensor 102.
The acceleration sensor may be a sensor having a sensitivity direction that is only in one axis direction or a sensor that measures an acceleration in three axis directions perpendicular to each other. The acceleration sensor is not easily affected by an environmental sound around the elevator, and thus is preferably used as the abnormality diagnosis sensor 102.
The sound sensor may be a sensor such as an IC recorder that performs recording at a high sampling rate such as 44.1 kHz so that high-accuracy sound analysis can be performed. In addition, the sound sensor may be a noise amount 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.
Comparing the acceleration sensor and the sound sensor with each other, when the acceleration sensor is used in a place such as a station where noise is very large, there is an advantage that the acceleration sensor is less likely to be affected by noise than the sound sensor. On the other hand, when data is acquired at a high sampling rate by the sound sensor, there is an advantage that it is also possible to estimate a place where an abnormal sound is generated, by sound wave analysis or the like.
When each of the sensors constituting the abnormality diagnosis device 100 is attached to the door panel constituting the door, a member suspending the door, or a movable portion at the time of driving the door, such as a door belt interlocking with the door, there is a concern that a drive unit of the elevator apparatus 1a or the sensor itself fails at the time of opening/closing the door. Therefore, it is assumed that the sensor box 40 that accommodates the abnormality diagnosis device 100 is preferably attached to a place where the sensor position does not move at the time of opening/closing the door, such as the upper portion of the car 20. However, when the abnormality diagnosis sensor 102 is the acceleration sensor, for example, the abnormality diagnosis sensor 102 may be attached to the door panel so that it is possible to detect vibration generated in the door with higher sensitivity.

[Signal Processing Unit 103]

The signal processing unit 103 determines whether there is an abnormality in the door open/close state by processing signals measured by the door opening/closing sensor 101 and the abnormality diagnosis sensor 102. The signal processing unit 103 is configured by a computer. The computer is hardware used as a so-called computer, and includes a central processing unit (CPU), a random access memory (RAM), a non-volatile storage unit such as a read only memory (ROM) or a hard disk drive (HDD), and a network interface. The signal processing unit 103 configured by the computer performs an abnormality diagnosis method for an elevator described below by an abnormality diagnosis program stored in the storage unit of the computer.
Such a signal processing unit 103 includes functional units of an opening/closing signal acquisition unit 103a, a diagnosis signal acquisition unit 103b, a diagnosis section extraction unit 103c, a feature amount calculation unit 103d, an abnormality diagnosis unit 103e, and a notification unit 103f.
Among the functional units, the opening/closing signal acquisition unit 103a acquires a signal (hereinafter, referred to as an opening/closing signal [Sm]) measured by the door opening/closing sensor 101 from the door opening/closing sensor 101. The diagnosis signal acquisition unit 103b acquires a signal (hereinafter, referred to as a diagnosis signal [Sd]) measured by the abnormality diagnosis sensor 102 from the abnormality diagnosis sensor 102. The signal acquisition by the opening/closing signal acquisition unit 103a and the diagnosis signal acquisition unit 103b may be performed in either wired or wireless manner. Thus, the signal processing unit 103 may be physically separated from the door opening/closing sensor 101 and the abnormality diagnosis sensor 102.
The diagnosis section extraction unit 103c extracts a diagnosis section for diagnosing an opening/closing abnormality of the door based on waveform data of the opening/closing signal [Sm] acquired by the opening/closing signal acquisition unit 103a. The feature amount calculation unit 103d calculates a feature amount for diagnosing the opening/closing abnormality of the door based on the signal (waveform data) in the diagnosis section extracted by the diagnosis section extraction unit 103c from the waveform data of the diagnosis signal [Sd] acquired by the diagnosis signal acquisition unit 103b. The abnormality diagnosis unit 103e diagnoses whether or not there is an opening/closing abnormality of the door, based on the feature amount calculated by the feature amount calculation unit 103d. The notification unit 103f notifies the operation management device 1b of the diagnosis result by the abnormality diagnosis unit 103e, for example. The procedure of the processing performed in the functional units described above will be described in detail in the following abnormality diagnosis method for the elevator.

Next, the door structure of the elevator in which the opening/closing abnormality is diagnosed by the abnormality diagnosis device 100 having the above configuration will be described by using the structure of the landing door 30 as an example, but the structural portion to be described is similarly applied to the car door 20a.
Fig. 3 is a schematic view for explaining the lower portion of the door structure of the elevator. As illustrated in Fig. 3, the landing door 30 includes a door panel 31 and a doorsill 32 disposed at the lower portion of the door panel 31. A sill groove 33 extending in an opening/closing direction of the door panel 31 is provided on the upper surface of the doorsill 32. On the lower end side of the door panel 31, a guide shoe 34 is attached in a state of protruding into the sill groove 33, and the guide shoe 34 is movable along the sill groove 33. Thus, when the door is opened/closed, the movement of the door panel 31 is guided by the guide shoe 34, and as a result, twisting and inclination of the door panel 31 are suppressed, so that a smooth opening/closing operation can be realized.
Fig. 4 is a schematic view for explaining the upper portion of the door structure of the elevator, and is a front view illustrating the upper portion of the door at the time of the door closed, that is, in a state where the door is closed. As illustrated in Fig. 4, the landing door 30 includes a door rail 35 at the upper portion of the door panel 31. A hanger roller support plate 36 is provided on the upper end side of the door panel 31 to extend. A hanger roller 37 fixed to the hanger roller support plate 36 travels on the door rail 35. Thus, the door panel 31 hung on the door rail 35 through the hanger roller 37 can move in the horizontal direction along the door rail 35.
Further, the hanger roller support plate 36 is provided with a locking member 38 constituting a door lock drive mechanism by electromagnetic drive. The locking member 38 has a bent tip shape and is provided to extend in a door closing direction. Locking is performed by engaging the locking member 38 with a hook member 39 provided to extend from the door closing direction. When the door structure is a double door structure having two door panels 31, each of the door panels 31 includes the hanger roller support plate 36 and the hanger roller 37, one of the hanger roller support plates 36 is provided with the locking member 38, and the other of the hanger roller support plates 36 is provided with the hook member 39. When the door is closed, the locking member 38 and the hook member 39 are engaged with each other and thus a locked state is made by the locking member 38 being pulled by a coil spring (not illustrated) . On the other hand, when the door is opened, that is, in a state where the door is opened, the coil spring releases the tension to release the engagement state between the locking member 38 and the hook member 39, and the door panel 31 becomes movable, so that the door panel 31 moves in the direction indicated by the arrow illustrated in Fig. 4 and the door can be opened.

Next, a door opening/closing abnormality diagnosed by the abnormality diagnosis device 100 illustrated in Figs. 1 and 2 will be described. There are mainly two causes of the door opening/closing abnormality in the elevator apparatus 1a. One of the causes is, for example, a foreign matter collision abnormality in which a foreign matter A1 is pinched in the sill groove 33 in the lower portion of the door illustrated in Fig. 3 and the door member collides with the pinched foreign matter A1. The other is a foreign matter riding abnormality in which a foreign matter A2 such as dust is deposited on an end portion of the door rail 35 in the upper portion of the door illustrated in Fig. 4 and the door member rides on the deposited foreign matter A2. Such abnormalities will be described below.

[Foreign Matter Collision Abnormality]

As illustrated in Fig. 3, the foreign matter collision abnormality is caused from a state in which, for example, the foreign matter A1 such as pebbles, paper waste, or an adhesive matter is pinched in the sill groove 33 and cannot be removed from the sill groove 33. When the foreign matter A1 is pinched in the sill groove 33, the guide shoe 34 and the door panel 31 collide with the foreign matter A1 when the door is closed, and an abnormal vibration or an abnormal sound is generated, which causes a failure of, for example, not closing the door. When the amount of the foreign matter A1 is small, the pinched foreign matter A1 may be removed by the door panel 31 pushing or crushing the foreign matter A1. However, when the foreign matter A1 having a certain size or larger is pinched, the door is not fully opened and closed, and the door automatically turns to a reversing operation. As a result, the elevator cannot be used. Therefore, in particular, when the foreign matter is pinched so that the operation turns into a door reversing operation, it is necessary to quickly detect the pinched foreign matter and for a maintenance staff to remove the foreign matter A1.

[Foreign Matter Riding Abnormality]

As illustrated in Fig. 4(b), the foreign matter riding abnormality is caused by accumulation of the foreign matter A2 such as dust or dirt adhered to the upper end portion of the door rail 35. Here, in a normal locked state illustrated in Fig. 4 (a), a distance [d] of about several mm is formed between the locking member 38 and the hook member 39. Thus, when the door is opened in the direction indicated by the arrow in Fig. 4(a), the locked state of the locking member 38 and the hook member 39 is smoothly released.
On the other hand, as illustrated in Fig. 4 (b), in a door closed state, dust or the like pushed out by the hanger roller 37 accumulates at the stop position of the hanger roller 37, and a large foreign matter A2 may be formed eventually. In particular, when the foreign matter A2 is formed at the stop position of the hanger roller 37 at the end portion on the door closed side, the hanger roller 37 rides on the foreign matter A2 and is pushed back, and a slight shift [g] occurs at the stop position of the hanger roller 37. Since the position of the locking member 38 interlocked with the hanger roller 37 is shifted due to the shift [g] of the stop position, the distance [d] between the locking member 38 and the hook member 39 in the locked state is reduced. As a result, when the locked state between the locking member 38 and the hook member 39 is released, door lock collision in which the locking member 38 and the hook member 39 are caught by each other occurs. Such a door lock collision not only causes an abnormal sound or an abnormal vibration, but also fails to open the door in a closed state in some cases when the door deteriorates, and there is a risk that the passenger is confined in the car. Thus, it is necessary to prevent an occurrence of the door lock collision in advance.

<<Abnormality Diagnosis Method for Elevator>>

Next, the abnormality diagnosis method for an elevator, which is performed by the abnormality diagnosis device 100 illustrated in Figs. 1 and 2, will be described. The abnormality of the elevator diagnosed here is an opening/closing abnormality of the door of the elevator, and includes the foreign matter collision abnormality described above with reference to Fig. 3 and the foreign matter riding abnormality described above with reference to Fig. 4. A method for diagnosing the foreign matter collision abnormality will be described first below, and then, a method for diagnosing the foreign matter riding abnormality will be described. The abnormality diagnosis device 100 preferably has an abnormality diagnosis program that performs both of such diagnosis methods.

Fig. 5 is a flowchart (part 1) illustrating an abnormality diagnosis method for the elevator according to the embodiment. The procedure illustrated in the flowchart of Fig. 5 is a procedure of diagnosing the foreign matter collision abnormality (see Fig. 3) of the elevator, which is performed according to the abnormality diagnosis program of the abnormality diagnosis device 100 illustrated in Figs. 1 and 2. Fig. 6 is a diagram illustrating a signal waveform of the sensor when a foreign matter is pinched in the doorsill, and Fig. 7 is an enlarged view of the portion (3) of Fig. 6. Among the signal waveforms illustrated in Figs. 6 and 7, the opening/closing signal [Sm] is a signal output from the magnetic sensor used as an example of the door opening/closing sensor 101. The diagnosis signal [Sd] is an output signal from the acceleration sensor used as an example of the abnormality diagnosis sensor 102. The other sensors described above may be used as the door opening/closing sensor 101 and the abnormality diagnosis sensor 102.
A method for diagnosing the foreign matter collision abnormality of the elevator will be described below along the flowchart of Fig. 5, with reference to Figs. 1 to 3 described above and Figs. 6 and 7.

[Step S101]

In Step S101, the diagnosis section extraction unit 103c executes 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, it is assumed that the opening/closing signal acquisition unit 103a has respective ranges of a door opening level [Lo] and a door closing level [Lc] set in advance for the opening/closing signal [Sm]. When the opening/closing signal [Sm] acquired by the opening/closing signal acquisition unit 103a is within the range set in advance for each of the door opening level [Lo] and the door closing level [Lc], the diagnosis section extraction unit 103c determines that the door is in a door opened state or a door closed state.
When a normal door opening operation is performed, a transition is made from the door closing level [Lc] to the door opening level [Lo] in a time of 5 seconds or less. Then, the door opened state is maintained for 10 seconds or more, and passengers get on and off during this time. In the door opened state, the opening/closing signal [Sm] is maintained at the door opening level [Lo].
In the example illustrated in Fig. 6, signal waveforms in three door opened states (1) to (3) are illustrated. Among the three door opened states, the door opened state (1) indicates a case where passengers gets on and off in the door opened state. The door opened state (2) indicates a case where the opening button is pressed to reverse the door in the middle of the door being about to be closed. The door opened state (3) indicates a case where a foreign matter is pinched in the sill and the door is reversed. Fig. 7 is an enlarged view in the door opened state (3).

[Step S102]

In Step S102, the diagnosis section extraction unit 103c calculates a return time [T] of the door based on the door opening operation determination in Step S101. Here, the return time [T] of the door is a time from the last time point [to1] when the door is determined to be opened to the first time point [to2] when the door is determined to be opened the next time.
In the example illustrated in Fig. 6, the calculation of the return time [T] of the door is repeated four times, but each return time [T] is calculated each time the flow is repeated.

[Step S103]

In Step S103, the diagnosis section extraction unit 103c determines whether or not the return time [T] calculated in Step S102 is smaller than a threshold time [Tth] . It is assumed that the threshold time [Tth] is set to a value equal to or smaller than the shortest time required for transition from the door closing level [Lc] to the door closing level [Lc] again through the door opening level [Lo], for example. Such a threshold time [Tth] is set to, for example, 7.5 seconds. With such determination, it is determined whether the return time [T] calculated in Step S102 is a time indicating a normal open/close state of the door or a time indicating a door reversed state in which the door returns to the door opened state again due to some factor in the middle of transition from the door opened state to the door closed state.
When determining that the return time [T] is smaller than the threshold time [Tth] (YES), the diagnosis section extraction unit 103c causes the process to proceed to Step S104. On the other hand, when determining that the return time [T] is not smaller than the threshold time [Tth] (NO), the diagnosis section extraction unit 103c causes the process to proceed to Step S104a.

[Step S104a]

In Step S104a, the diagnosis section extraction unit 103c determines that there is no door reversal and ends the process. Here, door reversal means that the reversing operation is performed before the door is fully opened and closed. In the example illustrated in Fig. 6, the opening/closing signal passes from the door closing level [Lc] through the door opening level [Lo], and then transitions to the door closing level [Lc] again in two of the four opening/closing operations for which the return time [T] of the door is calculated. Thus, the return time [T] reaches the threshold time [Tth], and it is determined that there is no door reversal. Then, the process is ended.

[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 smaller than the threshold time [Tth] in Step S103, as the door reversal section [Tre].
In the example illustrated in Fig. 6, the opening/closing signal transitions to the door closing level [Lc] again without passing from the door closing level [Lc] through the door opening level [Lo], in two times in the door open/close states (2) and (3) of the four door opening/closing operations for which the return time [T] of the door is calculated. Therefore, the return time [T] is less than the threshold time [Tth] in these two times, and this section is determined as the door reversal section [Tre].

[Step S105]

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

[Step S106]

In Step S106, the diagnosis section extraction unit 103c extracts a section from the previous section [T0] to the subsequent section [T1] of the door reversal time point [tr] set in Step S105, from the acquisition period of the opening/closing signal [Sm], as a diagnosis section [Td1]. The diagnosis section [Td1] extracted here is a section set in order to more efficiently detect an abnormality signal generated in the diagnosis signal [Sd] acquired from the abnormality diagnosis sensor 102, and is a waveform section of the diagnosis signal [Sd] used for determination of the foreign matter pinched. The diagnosis section [Td1] is extracted to include a foreign matter collision time point [tc1] at which the door collides with the foreign matter.
Here, as shown in Experimental Example 1 described later, in the foreign matter collision abnormality, the door collides with the foreign matter and an abnormal vibration and an abnormal sound are generated, and then the door turns to the reversing operation. When the median value of the door reversal section [Tre] is set to the door reversal time point [tr], the foreign matter collision time point [tc1] is earlier than the door reversal time point [tr] and is about 0.1 to 1.0 seconds before the door reversal time point [tr] (see the enlarged view of Fig. 7). When the diagnosis section [Td1] of the foreign matter collision is too short, there is a possibility that the abnormal vibration and the abnormal sound cannot be captured. When the diagnosis section [Td1] is too long, there is a possibility that the diagnosis section [Td1] includes another vibration and sound such as getting on and off of a passenger.
In consideration of such points, the diagnosis section [Td1] of the foreign matter collision is preferably set to about 0.1 to 3.0 seconds. As a result, the diagnosis section [Td1] reliably includes the foreign matter collision time point [tc1], and an abnormal vibration and an abnormal sound are reliably captured in the diagnosis section [Td1].
In addition, since the diagnosis signal [Sd] becomes the maximum at the foreign matter collision time point [tc1], it is preferable to extract the diagnosis section [Td1] particularly so that the foreign matter collision time point [tc1] becomes the center value.
Therefore, the median value of the door reversal section [Tre] is set to be the door reversal time point [tr], and a time point (for example, 0.2 seconds before) before the door reversal time point [tr] is assumed to be the foreign matter collision time point [tc1]. The diagnosis section extraction unit 103c extracts a section between the previous section [T0] and the subsequent section [T1] of the door reversal time point [tr] set in advance, as the diagnosis section [Td1] so that about 0.1 to 3.0 seconds before and after the foreign matter collision time point [tc1] are extracted. As an example, the diagnosis section extraction unit 103c extracts a total of 0.6 seconds of the previous section [T0] (= 0.5 seconds) to the subsequent section [T1] (= 0.1 seconds) of the door reversal time point [tr], as the diagnosis section [Td1] . Since the foreign matter collision time point [tc1] is earlier than the door reversal time point [tr], the subsequent section [T1] of the door reversal time point [tr] may be set to zero seconds. However, it is preferable to include the door reversal time point [tr] .

[Step S107]

In Step S107, the feature amount calculation unit 103d calculates the feature amount of the diagnosis signal [Sd] acquired by the diagnosis signal acquisition unit 103b in the diagnosis section [Td1] extracted in Step S106. At this time, the feature amount calculation unit 103d extracts a signal waveform of the diagnosis signal [Sd] corresponding to the diagnosis section [Td1] extracted in Step S106, from the diagnosis signal [Sd] acquired by the diagnosis signal acquisition unit 103b. Then, the feature amount calculation unit 103d calculates the feature amount based on the extracted signal waveform of the diagnosis signal [Sd].
The feature amount calculated by the feature amount calculation unit 103d may be, for example, a signal value at a specific time point, a magnitude (peak-to-peak) of an amplitude of the signal waveform, an integral value, or the like. Alternatively, an envelope, a moving average, or the like of the signal may be calculated, and an integral value of the envelope, the moving average, or the like may be used as the feature amount. Alternatively, the shape of the signal waveform or the entirety of the signal waveform in the diagnosis section [Td1] may be used as the feature amount.
In the example illustrated in Fig. 6, the above-described normality/abnormality determination is performed for the diagnosis signal [Sd] corresponding to each diagnosis section [Td1] set in the door reversal section [Tre] in the door open/close states (2) and (3). On the other hand, the signal waveform of the diagnosis signal [Sd] corresponding to the door open/close state (1) has a large amplitude. This waveform is a signal associated with getting on and off of a passenger in the door opened state and deviates from the diagnosis section [Td1]. Thus, the normality/abnormality determination is not performed.

[Step S108]

In Step S108, the abnormality diagnosis unit 103e determines whether the feature amount calculated by the feature amount calculation unit 103d is an abnormal value. In this case, for example, the abnormality diagnosis unit 103e may determine whether or not the feature amount is an abnormal value by comparing the feature amount calculated by the feature amount calculation unit 103d to a threshold value set for the feature amount. In addition, the abnormality diagnosis unit 103e may calculate the Mahalanobis distance or the like by using a plurality of feature amounts and perform threshold determination. In this case, in Step S107, the feature amount calculation unit 103d is assumed to calculate a plurality of types of feature amounts. In addition, the abnormality diagnosis unit 103e may perform normality/abnormality determination by machine learning or the like using point data of the entire signal waveform as the feature amount.
When the abnormality diagnosis unit 103e determines that the feature amount calculated by the feature amount calculation unit 103d is the abnormal value (YES) by any of the above determinations, the process proceeds to Step S109. On the other hand, when it is determined that the feature amount calculated by the feature amount calculation unit 103d is not the abnormal value (NO), the process is ended.

[Step S109]

In Step S109, the notification unit 103f notifies the operation management device 1b of the abnormality of the door, for example. At this time, it is preferable that the notification unit 103f simultaneously notifies the operation management device 1b of the foreign matter collision abnormality. As a result, the operation management device 1b can notify, for example, a terminal device allowed to perform check by the maintenance staff of the occurrence of the foreign matter collision abnormality caused by, for example, the foreign matter pinched in the doorsill.
The operation management device 1b may determine whether the abnormality occurrence notification is an erroneous notification or a true abnormality (that is, a failure state) based on the occurrence frequency of the abnormality occurrence notification from the notification unit 103f. For example, when an abnormality alert of the foreign matter pinched is issued only once, there is a case where the passenger intentionally stops the closing operation, and thus, there is a possibility that the occurrence frequency of the alert becomes too high. Therefore, it is also possible to make a determination based on frequency information, for example, in a case where the number of abnormality alerts is equal to or greater than a threshold number of times, and the abnormality alerts are continuously generated, or a case where N₀ times or more events of the latest N door opening/closing events are determined to be abnormal.
As an example, the operation management device 1b may record abnormality occurrence notification logs for the last one year or the like, which have been received from the notification unit 103f of each elevator apparatus 1a and determine the occurrence of an abnormality based on the abnormality occurrence notification logs. Specifically, the operation management device 1b may calculate an abnormality occurrence notification frequency of the elevator based on the abnormality occurrence notification logs, and assume that abnormality occurrence notification about once a day is a result of performing an operation such as forcibly stopping the door by a user, and may consider that the abnormality occurrence notification about once a day is in a normal state. In addition, the operation management device 1b may determine that there is a high possibility that a true abnormality has occurred in the elevator apparatus 1a when the reception of the abnormality occurrence notification continues at a certain time point or when the abnormality occurrence notification is received at a high frequency. As described above, the operation management device 1b may make a determination to implement means for prompting the maintenance staff to inspect the elevator apparatus 1a by using the abnormality occurrence notification logs. The abnormality diagnosis unit 103e performs such determination after Step S108.

In the method for diagnosing the foreign matter collision abnormality described above, the door reversal section [Tre] is determined based on the return time [T] of the door calculated from the opening/closing signal [Sm] (Steps S102 to S104). However, the door reversal section [Tre] may be determined based on the waveform of the opening/closing signal [Sm]. In addition, the door reversal section [Tre] may 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.
Although an example in which the magnetic sensor is used as the door opening/closing sensor 101 has been described, the door opening/closing sensor 101 may use an illuminance sensor, or may determine the door reversal section [Tre] by combining opening/closing signals [Sm] from a plurality of sensors.
Furthermore, the method for diagnosing the foreign matter collision abnormality described above has been described as a method for detecting the abnormality when the foreign matter A1 is pinched in the sill groove 33. However, in the method for diagnosing the foreign matter collision abnormality in the abnormality diagnosis method (part 1), the abnormality can be diagnosed even when the foreign matter accumulates near the center of the door rail 35 illustrated in Fig. 4 and the door reversing operation is caused by the foreign matter acting as an obstacle.
The method for diagnosing the foreign matter collision abnormality described above is set to a procedure of diagnosing the abnormality by detecting the case where the door reversing operation occurs in the middle of transition from the door opened state to the door closed state. However, this procedure can be similarly applied to a case where the door reversing operation occurs during the transition from the door closed state to the door opened state. In this case, in Step S102, the diagnosis section extraction unit 103c may set the time from the last time point when it is determined that the door is closed, to the first time point when it is determined that the door is closed the next time, as the return time [T] of the door. The abnormality diagnosis device 100 may perform the above-described method for diagnosing the foreign matter collision abnormality for at least one of transition from the door opened state to the door closed state and transition from the door closed state to the door opened state.

Fig. 8 is a flowchart (part 2) illustrating the abnormality diagnosis method for the elevator according to the embodiment. The procedure illustrated in the flowchart of Fig. 8 is a procedure of diagnosing the foreign matter riding abnormality of the elevator, which is performed according to the abnormality diagnosis program of the abnormality diagnosis device 100 illustrated in Figs. 1 and 2. Fig. 9 is a diagram illustrating a signal waveform of the sensor when a foreign matter is deposited on the end portion of the door rail. Among the signal waveforms illustrated in Fig. 9, the opening/closing signal [Sm] is a signal output from the magnetic sensor used as the door opening/closing sensor 101, and the diagnosis signal [Sd] is an output signal from the acceleration sensor used as the abnormality diagnosis sensor 102. The other sensors described above may be used as the door opening/closing sensor 101 and the abnormality diagnosis sensor 102.
A method for diagnosing the foreign matter riding abnormality of the elevator will be described below along the flowchart of Fig. 8, with reference to Figs. 1, 2, and 4 described above and Fig. 9.

[Step S201]

In Step S201, the diagnosis section extraction unit 103c executes 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 executed similarly to Step S101 described above. That is, when the opening/closing signal [Sm] acquired by the opening/closing signal acquisition unit 103a is within the range set in advance for each of the door opening level [Lo] and the door closing level [Lc], the diagnosis section extraction unit 103c determines that the door is in a door opened state or a door closed state.
In the example illustrated in Fig. 9, signal waveforms in two door opened states (1) and (2) are illustrated. Among the three door opened states, the door opened state (1) indicates a case where passengers gets on and off in the door opened state. The door opened state (2) indicates a case where the hanger roller 37 rides on the foreign matter A2 on the door rail 35 and is pushed back in the door closed state, and the locking member 38 is caught by the hook member 39 when unlocking the door immediately before the door is opened (see Fig. 4).

[Step S202]

In Step S202, the diagnosis section extraction unit 103c extracts the door opening start time point [tm] as the driving start time point of the door based on the door opening operation determination in Step S201. At this time, the diagnosis section extraction unit 103c extracts the time when it is determined that the intensity of the opening/closing signal [Sm] is at the door closing level [Lc] last, as the door opening start time point [tm].
In the example illustrated in Fig. 9, the door opening start time point [tm] is extracted twice, but the door opening start time point [tm] is extracted every time the flow is repeated twice.

[Step S203]

In Step S203, the diagnosis section extraction unit 103c extracts a section from the previous section [T0] to the subsequent section [T1] of the door opening start time point [tm] extracted in Step S202, from the acquisition period of the opening/closing signal [Sm], as a diagnosis section [Td2] . The diagnosis section [Td2] extracted here is a section set in order to more efficiently detect an abnormality signal generated in the diagnosis signal [Sd] acquired from the abnormality diagnosis sensor 102, and is a waveform section of the diagnosis signal [Sd] used for determination of the foreign matter riding. Further, the diagnosis section [Td2] is extracted to include a door lock collision time point [tc2] at which the locking member 38 and the hook member 39 are caught by each other and collide with each other.
Here, as shown in Experimental Example 2 described later, in the foreign matter riding abnormality, the door lock is released and the operation turns to the door opening operation at the time of 0.1 to 3.0 seconds after the abnormal vibration and the abnormal sound are generated by the door lock collision. That is, the door lock collision time point [tc2] is a time of 0.1 to 3.0 seconds before the door opening start time point [tm] . When the diagnosis section [Td2] of the foreign matter riding is too short, there is a possibility that the abnormal vibration and the abnormal sound cannot be captured. When the diagnosis section [Td2] is too long, there is a possibility that the diagnosis section [Td2] includes another vibration and sound such as getting on and off of a passenger.
In consideration of such points, the diagnosis section [Td2] of the foreign matter riding is preferably set to about 0.1 to 5.0 seconds. As a result, the diagnosis section [Td2] of the foreign matter riding reliably includes the door lock collision time point [tc2], and an abnormal vibration and an abnormal sound are reliably captured in the diagnosis section [Td2].
In addition, since the diagnosis signal [Sd] becomes the maximum at the door lock collision time point [tc2], it is preferable to extract the diagnosis section [Td2] particularly so that the door lock collision time point [tc2] becomes the center value.
Therefore, the diagnosis section extraction unit 103c extracts a section between the previous section [T0] and the subsequent section [T1] of the door opening start time point [tm] set in advance, as the diagnosis section [Td2] so that about 0.1 to 5.0 seconds before and after the door lock collision time point [tc2] are extracted. As an example, the diagnosis section extraction unit 103c extracts a total of 1.6 seconds of the previous section [T0] (= 1.5 seconds) to the subsequent section [T1] (= 0.1 seconds) of the door opening start time point [tm], as the diagnosis section [Td2] . Since the door lock collision time point [tc2] is earlier than the door opening start time point [tm], the subsequent section [T1] of the door opening start time point [tm] may be set to zero seconds.

[Step S204]

In Step S204, the feature amount calculation unit 103d calculates the feature amount of the diagnosis signal [Sd] acquired by the diagnosis signal acquisition unit 103b in the diagnosis section [Td2] extracted in Step S203. At this time, the feature amount calculation unit 103d extracts a signal waveform of the diagnosis signal [Sd] corresponding to the diagnosis section [Td2] extracted in Step S203, from the diagnosis signal [Sd] acquired by the diagnosis signal acquisition unit 103b. Then, the feature amount calculation unit 103d calculates the feature amount based on the extracted signal waveform of the diagnosis signal [Sd].
The feature amount calculated by the feature amount calculation unit 103d is similar to the feature amount described in Step S107 of the above abnormality diagnosis method (part 1).
In the example illustrated in Fig. 9, even in the door open/close state (1) among the door open/close states (1) and (2), a large amplitude is observed in the signal waveform of the diagnosis signal [Sd]. However, this amplitude is an amplitude associated with getting on and off of a passenger in the door opened state, and may be out of the diagnosis section [Td2], and the feature amount of a signal waveform in the diagnosis section [Td2] related to the door opening/closing operation may be calculated.

[Step S205]

In Step S205, the abnormality diagnosis unit 103e determines whether the feature amount calculated by the feature amount calculation unit 103d is an abnormal value. This determination is performed in a similar manner to the determination described in Step S108 of the above abnormality diagnosis method (part 1).

[Step S206]

In Step S206, the notification unit 103f notifies the operation management device 1b of the abnormality of the door, for example. At this time, it is preferable that the notification unit 103f simultaneously notifies the operation management device 1b that the abnormality of the door is the abnormality of the hanger roller riding on a foreign matter. As a result, the operation management device 1b can notify, for example, the terminal device allowed to perform check by the maintenance staff of the occurrence of the foreign matter riding abnormality of the hanger roller.
The operation management device 1b may perform abnormality determination by using the abnormality occurrence notification logs for the last one year or the like, which have been received from the notification unit 103f of each elevator apparatus 1a, which is similar to the above abnormality diagnosis method (part 1).

In the abnormality diagnosis method (part 2) described above, the door opening start time point [tm] is extracted from the intensity of the opening/closing signal [Sm] (Step S202) . However, the door opening start time point [tm] may be extracted based on the waveform of the opening/closing signal [Sm].
Although an example in which the magnetic sensor is used as the door opening/closing sensor 101 has been described, the door opening/closing sensor 101 may use an illuminance sensor, or may determine the door reversal section [Tre] by combining opening/closing signals [Sm] from a plurality of sensors.
Furthermore, in the determination of the foreign matter riding abnormality (Step S205), the abnormality determination may be performed by a combination with the feature amount which has not been described above. For example, when the foreign matter riding abnormality occurs in the door closed state, the time required for the door to be fully closed by the door lock collision is slightly longer than the door closing drive in the normal state. In such a case, the time required for the door closing drive can also be used as the feature amount.
Further, in the abnormality diagnosis method (part 2) described above, the abnormality determination when the foreign matter A2 is formed at the stop position of the hanger roller 37 at the end portion on the door closed side has been described. However, in the case where the foreign matter A2 is formed at the stop position of the hanger roller 37 at the end portion on the door opened side and the abnormality determination is made, the door opening start time point [tm] is extracted as the door driving start time point as described above, but a door closing start time point may be extracted as the door driving start time point.

<<Effects of Embodiments

According to the embodiment described above, it is possible to accurately detect the relevance between the door open/close timing and the generation of an abnormal vibration or an abnormal sound by the opening/closing signal [Sm] obtained from the door opening/closing sensor 101 and the diagnosis signal [Sd] obtained from the abnormality diagnosis sensor 102. Thus, it is possible to distinguish whether the abnormal vibration or the abnormal sound is generated due to getting on and off of a passenger when the door is opened or due to an opening/closing abnormality of the door, which has occurred at other timings. Further, it is possible to determine whether or not the abnormal vibration or the abnormal sound is generated in accordance with the door reversal in which the door is not fully opened and closed and the reversing operation is performed, and further whether or not the abnormal vibration or the abnormal sound is generated prior to the start timing of the door opening/closing operation.
As a result, as described in the above embodiment, it is possible to detect the occurrence of the door opening/closing abnormality in which the door member collides with a foreign matter by the foreign matter being pinched in the doorsill 32 or the foreign matter being deposited on the door rail 35. In addition, it is possible to detect the occurrence of the door lock collision caused in a manner that a foreign matter being deposited on the upper end portion of the door rail 35, and thus the door member rides on the foreign matter and the foreign matter is pushed back.
In addition, the door opening/closing sensor 101 and the abnormality diagnosis sensor 102 are external sensors or are accommodated in the externally-attached sensor box 40. As a result, the door opening/closing sensor 101 and the abnormality diagnosis sensor 102 are configured to be easily detachable by removing the screw, the adhesive tape, the adhesive, and the like. In addition, such a door opening/closing sensor 101 and abnormality diagnosis sensor 102 which are externally attached cannot directly obtain a control signal instructing driving of the elevator, and detects a physical signal change caused by driving an operating unit such as an elevator or a door (the movement of the door or a physical quantity change caused by the movement of the door). Further, by externally attaching the door opening/closing sensor 101 and the abnormality diagnosis sensor 102, it is possible to operate as an abnormality diagnosis system for door opening/closing even when the sensors are installed later on the elevator apparatus 1a. Further, it is possible to diagnose an abnormality without using a control signal of the elevator. As a result, it is possible to set, as a diagnosis target, a relay type elevator in which there is no control signal or an elevator system manufactured by another company in which it is difficult to interpret the contents of each control signal. In addition, since it is possible to easily remove and attach the sensor from the elevator, it is easy to replace the sensor when the sensor has failed, and it is also easy to upgrade the sensor itself.

Examples

Next, experimental examples of verifying the effects of the embodiment described above will be described. In the experiments described below, a case in which, in the sensor box 40, a magnetic sensor is provided as the door opening/closing sensor 101, a sound sensor and an acceleration sensor are provided as the abnormality diagnosis sensor 102, and a signal at the time of an abnormality occurrence is measured by each sensor will be described.

<<Experimental Example 1: Verification of Foreign Matter Collision Abnormality>>

Fig. 10 is a diagram illustrating experimental data of an experiment in which a foreign matter is pinched in the doorsill, and illustrates a magnetic signal (opening/closing signal [Sm]), an acceleration signal (diagnosis signal [Sd]), and a noise signal (diagnosis signal [Sd]) at the time of the occurrence of sill foreign matter pinched. These signals are signals obtained when a foreign matter having a sufficient size is pinched in the sill groove in a state where the door is opened, and the door closing button is pressed to drive the door. Regarding the value of the magnetic signal, the magnetic signal fluctuates when the door closing button is pressed and the door starts to move, from a state where the value is stable at the door opening level at the beginning. However, collision with a foreign matter in the sill groove causes the door to be reversed before the value of the magnetic signal falls to the door closing level, and thus the value returns to the original door opening level.
In the example illustrated in Fig. 10, an attempt of the door closing drive was performed three times, so that the door was reversed due to the foreign matter collision three times. Thus, it was observed that the magnetic signal had three door reversal waveforms. Using this data, the door reversal section [Tre] was extracted in accordance with the procedure of the flowchart illustrated in Fig. 5 (Step S104), and the median value of the door reversal section [Tre] was set as the door reversal time point [tr] (Step S105).
Fig. 11 is a diagram for explaining the abnormality diagnosis based on the experimental data of Fig. 10, and is a diagram illustrating superimposition of the calculated door reversal time point [Tr] on Fig. 10. As illustrated in Fig. 11, it has been confirmed that the time point at which the noise amount and the acceleration become the maximum due to the collision with the sill pinched foreign matter, that is, the foreign matter collision time point [tc1] is earlier than the door reversal time point [Tr]. Therefore, it can be seen that the diagnosis section [Td1] is preferably set to lengthen the time of the previous section when the diagnosis section [Td1] is divided into the time (previous section) before the door reversal time point [Tr] and the time (subsequent section) after the door reversal time point [Tr]. Therefore, a section indicated by a dotted line in Fig. 11 was extracted such that the section of the previous section [T0] including the foreign matter collision time point [tc1] to the subsequent section [T1] of the door reversal time point [Tr] was extracted as the diagnosis section [Td1].
Fig. 12 is a diagram illustrating an analysis result of the experiment in which the foreign matter is pinched in the doorsill. Here, the peak-to-peak of the acceleration signal in the diagnosis section [Td1] was calculated as one of the feature amounts used for abnormality determination. As another feature amount, an envelope was drawn with respect to the acceleration value, and then an integral value of the envelope was calculated. The above-described two types of feature amounts were plotted in a feature amount space to obtain the analysis result illustrated in Fig. 12. In Fig. 12, data at the time of the normal door reversing operation and data at the time of an occurrence of sill foreign matter collision abnormality are plotted. In addition, the Mahalanobis distance was calculated for a normal data group, and ranges in which the cumulative establishment of the normal group was 0.8, 0.95, 0.99, and 0.99999 were drawn as probability ellipses. That is, a point that is not included in the outermost ellipse indicates an event having a probability that is smaller than 10^-5. As can be seen from the results of Fig. 12, each piece of abnormality data is sufficiently separated from the normal group, and it was demonstrated that it is possible to easily determine the normality/abnormality by the present method.

<<Experimental Example 2 : Verification of Foreign Matter Riding Abnormality>>

Fig. 13 is a diagram illustrating experimental data of an experiment in which a foreign matter is deposited on the end portion of the door rail, and illustrates a magnetic signal (opening/closing signal [Sm]), an acceleration signal (diagnosis signal [Sd]), and a noise signal (diagnosis signal [Sd]) at the time of the occurrence of foreign matter riding. These signals are signals obtained when a foreign matter is installed at the closed end of the door rail and the door opening button is pressed to drive the door.
In the example illustrated in Fig. 13, an attempt of the door opening drive was performed three times from the door closed state, and door opening/closing was performed while causing door lock collision due to foreign matter riding three times. Thus, it was observed that the magnetic signal had three door opening/closing waveforms. Using this data, the door opening start time point [tm] at which a transition from door closing to door opening is made is extracted in accordance with the procedure of the flowchart illustrated in Fig. 8 (Step S202).
Fig. 14 is a diagram for explaining the abnormality diagnosis based on the experimental data of Fig. 13, and is a diagram illustrating superimposition of the extracted door opening start time point [tm] on Fig. 13. As illustrated in Fig. 14, it has been confirmed that the time point at which the noise amount and the acceleration become the maximum due to the door lock collision, that is, the door lock collision time point [tc2] is earlier than the door opening start time point [tm]. Therefore, it can be seen that the diagnosis section [Td2] is preferably set to lengthen the time of the previous section when the diagnosis section [Td2] is divided into the time (previous section) before the door opening start time point [tm] and the time (subsequent section) after the door opening start time point [tm]. Therefore, a section indicated by a dotted line in Fig. 14 was extracted such that the section of the previous section [T0] including the door lock collision time point [tc2] to the subsequent section [T1] of the door opening start time point [tm] was extracted as the diagnosis section [Td2] . Here, the subsequent section [T1] after the door opening start time point [tm] was set as zero seconds, and a section until the door opening start time point [tm] was extracted as the diagnosis section [Td2].
Fig. 15 is a diagram illustrating an analysis result of the experiment in which the foreign matter is deposited on the end portion of the door rail. Here, the peak-to-peak of the acceleration signal in the diagnosis section [Td2] was calculated as one of the feature amounts used for abnormality determination. As another feature amount, an envelope was drawn with respect to the acceleration value, and then an integral value of the envelope was calculated. The above-described two types of feature amounts were plotted in a feature amount space to obtain the analysis result illustrated in Fig. 15. In Fig. 15, data at the time of the normal door reversing operation and data at the time of an occurrence of foreign matter riding abnormality are plotted. In addition, the Mahalanobis distance was calculated for a normal data group, and ranges in which the cumulative establishment of the normal group was 0.8, 0.95, 0.99, and 0.99999 were drawn as probability ellipses . That is, a point that is not included in the outermost ellipse indicates an event having a probability that is smaller than 10^-5. As can be seen from the results of Fig. 15, each piece of abnormality data is sufficiently separated from the normal group, and it was demonstrated that it is possible to easily determine the normality/abnormality by the present method.

<<Experimental Example 3: Detection and Verification of Door Opening/Closing by Illuminance Sensor>>

Fig. 16 is a diagram illustrating data of a door opening/closing experiment using an illuminance sensor as the door opening/closing sensor. Data illustrated in Fig. 16 is a signal waveform measured by an illuminance sensor when the illuminance sensor is installed as the door opening/closing sensor 101 in the upper portion of the car 20 (see Fig. 1) and the door opening/closing is repeated. As illustrated in Fig. 16, it has been demonstrated that, even when an illuminance sensor is used as the door opening/closing sensor, a signal reflecting door opening/closing is obtained, and door opening/closing can be detected by a signal from the illuminance sensor.
The signal data shown in each experimental example is an example, and it is assumed that the shape and the like of the signal are different for each experimental environment. For example, when a plurality of members such as the door panel, the hanger roller support plate, and other peripheral members are complicatedly magnetized in different magnetization directions, a magnetic waveform from the door closing level to the door opening level by a magnetic sensor may have similarly a complicated pattern. In such a case, without determining the open/close state based on the door closing level or the door opening level, modification to an algorithm for determining the open/close state by using the pattern of the magnetic waveform may be made.
In Experimental Examples 1 and 2, the case where the magnetic sensor is applied as the door opening/closing sensor, and the vibration sensor and the sound sensor are used as the door abnormality diagnosis sensor has been described. However, the technique of the present disclosure is not limited to the above-described experimental examples. For example, as shown in Experimental Example 3, since the opening/closing of the door can be detected even by using the illuminance sensor, the similar result can be obtained also in combination with the illuminance sensor.
The present invention is not limited to the embodiment and the modification examples described above, and various modification examples may be further provided. For example, the above embodiment is described in detail in order to explain the present invention in an easy-to-understand manner, and the above embodiment is not necessarily limited to a case including all the described configurations. Further, some components in one embodiment can be replaced with the components in another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Regarding some components in the embodiments, other components can be added, deleted, and replaced.

Reference Signs List

1: elevator system
1b: operation management 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 point
[Td1], [Td2]: diagnosis section
[tm]: door opening start time point (driving start time point)
[T0]: previous section
[T1]: subsequent section

Claims

An abnormality diagnosis device (100) for an elevator, the abnormality diagnosis device (100) comprising:
a signal processing unit (103) that diagnoses an opening/closing abnormality of a door;

an abnormality diagnosis sensor (102) that detects information for diagnosing an opening/closing abnormality of the door; and

a door opening/closing sensor (101) that detects an external signal of the elevator,

wherein the signal processing unit (103) includes

a diagnosis section extraction unit (103c) that extracts a diagnosis section for detecting the opening/closing abnormality of the door by using a detection result obtained by detection of the door opening/closing sensor (101), and

an abnormality diagnosis unit (103e) that performs abnormality diagnosis by using a detection result obtained by detection of the abnormality diagnosis sensor (102) in the diagnosis section extracted by the diagnosis section extraction unit (103c).
The abnormality diagnosis device (100) for an elevator, according to claim 1, wherein
the diagnosis section extraction unit (103c) performs at least one of

a process of detecting a door reversal section in which the door is not fully opened and closed and a reversing operation is performed, based on the detection result obtained by the detection of the door opening/closing sensor (101), and extracting a first diagnosis section as the diagnosis section in the door reversal section, and

a process of detecting a driving start time point of the door based on the detection result obtained by the detection of the door opening/closing sensor (101), and extracting a second diagnosis section including a period from a time point of a predetermined time before the driving start time point to the driving start time point as the diagnosis section.
The abnormality diagnosis device (100) for an elevator, according to claim 2, wherein when a median value of the door reversal section is set as a door reversal time point, and the first diagnosis section is divided into two sections of a previous section before the door reversal time point and a subsequent section after the door reversal time point, the previous section is longer than the subsequent section.
The abnormality diagnosis device (100) for an elevator, according to claim 2, wherein when the second diagnosis section is divided into two sections of a previous section before the driving start time point of the door and a subsequent section after the driving start time point of the door, the previous section is longer than the subsequent section.
The abnormality diagnosis device (100) for an elevator, according to claim 1, further comprising a feature amount calculation unit (103d) that calculates a feature amount used for door abnormality diagnosis based on the detection result obtained by the detection of the abnormality diagnosis sensor (102) in the diagnosis section,
wherein the feature amount calculation unit (103d) calculates a time required for opening/closing the door as one of feature amounts used for the door abnormality diagnosis, based on the detection result obtained by the detection of the door opening/closing sensor (101).
The abnormality diagnosis device (100) for an elevator, according to claim 1, wherein
a magnetic sensor is used as the door opening/closing sensor (101), and

a magnetization member attached to a door panel (31) constituting the door of the elevator, a hanger roller (37), and a hanger roller support plate (36) is provided.
The abnormality diagnosis device (100) for an elevator, according to claim 1, further comprising:
a feature amount calculation unit (103d) that calculates a feature amount used for door abnormality diagnosis from the detection result obtained by the detection of the abnormality diagnosis sensor (102) in the diagnosis section; and

an abnormality diagnosis unit (103e) that determines whether an opening/closing operation of the door is normal or abnormal based on the feature amount,

wherein the abnormality diagnosis unit (103e) uses a Mahalanobis distance to determine whether or not the opening/closing operation of the door is normal.
The abnormality diagnosis device (100) for an elevator, according to claim 1, wherein
the door opening/closing sensor (101) is any one of a magnetic sensor, an illuminance sensor, a photoelectric sensor, a distance measuring sensor, and a camera, and

the abnormality diagnosis sensor (102) is one of an acceleration sensor and a sound sensor.
The abnormality diagnosis device (100) for an elevator, according to claim 1, wherein the door opening/closing sensor (101), the abnormality diagnosis sensor (102), and the signal processing unit (103) are provided to be externally attached to the elevator.
The abnormality diagnosis device (100) for an elevator, according to claim 2, wherein
the first diagnosis section is a time of 0.1 seconds or more to 3.0 seconds or less, and

the second diagnosis section is a time of 0.1 seconds or more to 5.0 seconds or less.
An elevator system (1) comprising:
an elevator apparatus (1a); and

an operation management device (1b) that manages an operation of the elevator apparatus (1a) by communication with the elevator apparatus (1a),

wherein the elevator apparatus (1a) includes the abnormality diagnosis device (100) according to any one of claims 1 to 10, and

when an abnormality diagnosis unit (103e) of the abnormality diagnosis device (100) diagnoses that an opening/closing operation of a door of the elevator apparatus (1a) is abnormal, the abnormality diagnosis device (100) notifies the operation management device (1b) of an abnormality of the opening/closing operation of the door.
An abnormality diagnosis method for an elevator for diagnosing an opening/closing abnormality of a door, the abnormality diagnosis method comprising:
extracting a diagnosis section for diagnosing the opening/closing abnormality of the door based on a detection result obtained by detection of a door opening/closing sensor (101), by a diagnosis section extraction unit (103c); and

performing abnormality diagnosis by using a detection result obtained by detection of an abnormality diagnosis sensor (102) in the diagnosis section, by an abnormality diagnosis unit (103e).
An abnormality diagnosis program for an elevator for causing a signal processing unit (103) to diagnose an opening/closing abnormality of a door, the abnormality diagnosis program causing the signal processing unit (103) to:
extract a diagnosis section for diagnosing the opening/closing abnormality of the door based on a detection result obtained by detection of a door opening/closing sensor (101); and

perform abnormality diagnosis by using a detection result obtained by detection of an abnormality diagnosis sensor (102) in the diagnosis section.