Abnormality investigation support system and abnormality investigation support method

Abstract

An under-car sensor (22) detects vibration of a floor surface of a car (10) of an elevator. A traction machine sensor (21) detects vibration of a traction machine (250) of the elevator. A server (100) infers the location of occurrence of an abnormality in the elevator on the basis of a raising / lowering condition of the car (10), the detection result from the under-car sensor (22), and the detection result from the traction machine sensor (21).

Description

[Technical Field]

[0001] The present disclosure relates to an elevator abnormality investigation support system and an abnormality investigation support method. [Background technology]

[0002] An example of a device for investigating elevator abnormalities is the mechanical equipment inspection device disclosed in Japanese Patent Application Laid-Open No. 2021-32714 (Patent Document 1). This inspection device installs multiple sensors (smart devices) at multiple positions on the elevator to detect acceleration, vibration, and the like, and inspects the elevator for abnormalities based on the signals detected by these sensors.

[0003] Among these abnormalities, the one that elevator users feel is the vibration inside the car. If a complaint is made based on the abnormality felt by the user, the elevator maintenance company will investigate the abnormality and take action. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-32714 Summary of the Invention [Problem to be solved by the invention]

[0005] In order to investigate an abnormality felt by a user, it is necessary to identify the location of the vibration. However, elevators generally do not have vibration sensors installed to detect abnormal vibrations felt by people. Therefore, when investigating an abnormality, maintenance personnel from a maintenance company must manually measure vibrations in various parts of the elevator using separately prepared vibration sensors and identify the location of the abnormality that is causing the vibration.

[0006] However, since identifying the location of an abnormality depends heavily on the experience of the maintenance personnel, if the maintenance personnel has little experience, it may take a long time to investigate the abnormality. Furthermore, the above-mentioned inspection device does not distinguish between abnormalities felt by users and other abnormalities, and no consideration is given to how to investigate based on user complaints.

[0007] The present disclosure has been made to solve the above-mentioned problems, and its purpose is to provide an abnormality investigation support system and an abnormality investigation support method that can quickly identify the cause of an abnormality that an elevator user feels due to vibrations inside the car. [Means for solving the problem]

[0008] The elevator abnormality investigation support system according to the present disclosure includes a car sensor, a hoist sensor, and a control device. The car sensor detects vibrations on the floor surface of the elevator car. The hoist sensor detects vibrations of the elevator hoist. The control device estimates the location of the elevator abnormality based on the elevation state of the car, the detection results of the car sensor, and the detection results of the hoist sensor.

[0009] The method for supporting investigation of elevator abnormalities according to the present disclosure includes the steps of acquiring the detection results of a car sensor that detects vibrations of the floor surface of the elevator car, acquiring the detection results of a hoist sensor that detects vibrations of the elevator hoist, and estimating the location of the elevator abnormality based on the raising and lowering state of the car, the detection results of the car sensor, and the detection results of the hoist sensor. [Effects of the Invention]

[0010] According to the present disclosure, the cause of an abnormality felt by an elevator user due to vibrations inside the car can be quickly identified. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram illustrating an example of the overall configuration of an abnormality investigation support system, etc. [Figure 2] FIG. 1 is a diagram illustrating an example of a hardware configuration of an abnormality investigation support system, etc. [Figure 3] FIG. 1 is a diagram showing a schematic structure of an elevator. [Figure 4] FIG. 10 is a diagram illustrating an example of a vibration data DB. [Figure 5] FIG. 10 is a diagram showing an example of a car lifting / lowering state DB. [Figure 6] FIG. 10 is a diagram illustrating an example of a vibration determination table. [Figure 7] FIG. 10 is a diagram illustrating an example of an abnormality estimated cause table. [Figure 8] 10 is a flowchart of an estimation process. [Figure 9] 10 is a flowchart of an estimation process. [Figure 10] 10 is a flowchart of a display determination process. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments will be described with reference to the drawings. In the following description, the same components are denoted by the same reference numerals. The names and functions of these components are also the same. Therefore, detailed descriptions thereof will not be repeated.

[0013] The following describes the overall configuration of the abnormality investigation support system 1 etc. of this embodiment. Fig. 1 is a diagram showing an example of the overall configuration of the abnormality investigation support system 1 etc.

[0014] The abnormality investigation support system 1 is a system that estimates the location of an elevator abnormality and supports the investigation of the elevator abnormality. In this embodiment, an elevator is installed in a building 2. The elevator control panel 210 is a device that controls various devices of the elevator. The elevator control panel 210 constantly acquires various signals that indicate the operating status of the elevator car. The acquired various signals are transmitted to the elevator monitoring system 300 via a network.

[0015] The elevator monitoring system 300 is installed, for example, in a monitoring center (information center) of an elevator maintenance company. The elevator monitoring system 300 monitors the elevator using a wired or wireless communication line. The elevator monitoring system 300 records various signals (car operating status) acquired from the elevator control panel 210 in a car up / down status DB (database) 61 (see FIG. 5, which will be described later). The elevator monitoring system 300 may also be installed inside the building 2.

[0016] The abnormality investigation support system 1 includes a server 100 as a control device, various sensors that detect vibrations of devices provided in the elevator, a communication device 20, and a terminal 400. These various sensors are installed to estimate the location of an abnormality in the elevator. The various sensors are vibrometers that constantly measure vibrations (vibration acceleration) and transmit the sensor detection results to the communication device 20 installed in the building 2.

[0017] The communication device 20 wirelessly transmits the detection results of the sensors to the server 100 via the network. The server 100 records the received detection results of the sensors in a vibration data DB (database) 62 (FIG. 4 described later) (Step 1). The server 100 may be installed in a monitoring center of a maintenance company together with the elevator monitoring system 300, or may be installed within the building 2.

[0018] The server 100 estimates the location of the abnormality in the elevator. A maintenance person (hereinafter also referred to as an "investigator") of the elevator maintenance company can check the location of the abnormality estimated by the server 100 on the terminal 400.

[0019] Specifically, the investigator 5 inputs the building number, building name, and target period of the investigation on the terminal 400, and clicks the "investigation button" (step 2). For example, if the investigator wants to check abnormality information for building 2 from January 1, 2022 to December 31, 2022, the investigator specifies the building number assigned to building 2, the building name of building 2, and the target period of January 1, 2022 to December 31, 2022, and clicks the "investigation button."

[0020] In response to a request from the terminal 400, the server 100 acquires data for the investigation period for the relevant building from the car lifting / lowering state DB 61 and the vibration data DB 62. The server 100 performs an abnormality estimation process (see later-described FIGS. 8 and 9) for each piece of acquired data using a vibration determination table 63 (described later). The server 100 records data based on the results of the estimation process in an abnormality estimation cause table 64 (see later-described FIG. 7) (this concludes step 3). Then, a display determination process (see later-described FIG. 10) is performed based on the data recorded in the abnormality estimation cause table 64, and the estimated abnormality cause (location of the abnormality) is displayed on the terminal 400 operated by the investigator 5 (step 4).

[0021] The inspector 5 (maintenance worker) can quickly deal with the elevator abnormality by inspecting the location (in this example, the elevator rope and guide shoe) displayed on the terminal 400. This will be explained in detail below.

[0022] 2 is a diagram showing an example of the hardware configuration of the abnormality investigation support system 1. In this embodiment, the abnormality investigation support system 1 includes a server 100, a communication device 20, various sensors that communicate with the communication device 20, and a terminal 400. Note that the abnormality investigation support system 1 may be configured without including the terminal 400, or may be configured with only the server 100 and configured to perform an abnormality determination process based on acquired data from the sensors, etc.

[0023] The various sensors are a hoist sensor A21a (hereinafter also referred to simply as "hoist sensor A") as the first hoist sensor, a hoist sensor B21b (hereinafter also referred to simply as "hoist sensor B") as the second hoist sensor, a hoist sensor C21c (hereinafter also referred to simply as "hoist sensor C") as the third hoist sensor, and an under-car sensor A22 (hereinafter also referred to simply as "under-car sensor A" or "under-car sensor 22").

[0024] The hoist sensor A21a, the hoist sensor B21b, and the hoist sensor C21c (the hoist sensors A to C) are collectively referred to as the hoist sensor 21. The hoist sensor 21 detects vibrations of the elevator hoist or the vicinity of the hoist. The under-car sensor A22 detects vibrations of the floor surface of the elevator car 10. For example, each of these sensors is configured as an IoT (Internet of Things) device including a sensor, and is connected to the communication device 20. The communication device 20 is configured to be able to communicate with the server 100, for example, using a wireless communication method such as LPWA (Low Power Wide Area). The server 100 receives the detection results of each sensor via the communication device 20.

[0025] The server 100 mainly comprises a processor 111 that executes a program, a memory 112, and a communication IF (interface) 120. The components are interconnected by a data bus.

[0026] The memory 112 includes a ROM (Read Only Memory) that stores data in a non-volatile manner, a RAM (Random Access Memory) that volatilely stores data generated by execution of a program by the processor 111, and an HDD (Hard Disk Drive) that stores data in a non-volatile manner. The memory 112 stores a vibration data DB 62, a vibration determination table 63, and an abnormality probable cause table 64. These will be described in detail later with reference to FIGS. 4, 6, and 7.

[0027] The communication IF 120 is an interface for communicating with various devices. The server 100 communicates with the monitoring server 301, the communication device 20, and the terminal 400 via the communication IF 120.

[0028] Note that some or all of the processing executed by the processor 111 may be implemented using a dedicated hardware circuit (for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate Array)).

[0029] The elevator monitoring system 300 includes a monitoring server 301. The monitoring server 301 includes, as its main components, a processor 311 that executes a program, a memory 312, and a communication IF (interface) 320. The components are interconnected via a data bus. Like the server 100, the memory 312 includes a ROM, a RAM, and a HDD. The communication IF 320 is an interface for communicating with various devices. The memory 312 stores a car up / down status DB 61. Details of the car up / down status DB 61 will be described later using FIG. 5.

[0030] The terminal 400 is, for example, a desktop PC (Personal Computer), a notebook PC, or a tablet. Like the server 100, the terminal 400 also comprises a processor 411, a memory 412, and a communication IF (interface) 420. The terminal 400 further comprises a display unit 440 that displays various information, and an input unit 430 that can input operations from the investigator 5 using the terminal 400. The display unit 440 is, for example, a display. The input unit 430 is, for example, a keyboard, a mouse, or a touch panel display integrated with the display unit 440. In response to operations from the investigator 5 via the input unit 430, the terminal 400 can cause the server 100 to execute an inference process (see FIGS. 8 and 9, described below) and display the results on the display unit 440.

[0031] Figure 3 is a diagram showing a schematic diagram of an elevator structure. Elevator car 10 is installed in a hoistway 3 provided in a building 2. Car 10 moves up and down in hoistway 3 to move between multiple floors. Car 10 can stop at each floor from the first floor to the top floor.

[0032] A machine room is provided directly above the hoistway 3. In the machine room, a hoisting machine 250, an elevator control panel 210, and communication equipment 20 are provided.

[0033] In this embodiment, the elevator is a traction elevator. A traction elevator is one type of rope elevator. This elevator includes a car 10, a counterweight 12, a rope 11, and a hoist 250.

[0034] The hoist 250 includes a motor (electric motor) not shown, a sheave (sheave) 251 attached to the motor, a deflector sheave 13, a cast part 252 that covers the sheave 251, and a cast part 253 that covers the deflector sheave 13 (in this embodiment, the device including the cast part and the deflector sheave is referred to as the "hoist").

[0035] A rope (main rope) 11 is hung on the sheave 251 and the deflector 13. A car 10 and a counterweight 12 are suspended from both ends of the rope 11.

[0036] The elevator can drive the motor of the hoisting machine 250 to move the car 10 installed in the hoistway 3 in an upward or downward direction. A guide rail 15 is provided in the hoistway 3. A guide shoe 14 is also provided on the top of the car 10. The guide rail 15 guides the car 10 as it rises and falls. The guide shoe 14 is joined to the guide rail 15 and guides the car 10 as it rises and falls along the guide rail 15.

[0037] The cast part 252 is a part that comes into contact with the rotating shaft of the sheave 251 (motor) of the hoist 250. The cast part 253 is a part that comes into contact with the shaft of the deflector pulley 13, which is a rotating object that rotates in conjunction with the motor of the hoist 250.

[0038] 3, a hoist sensor A21a (hoist sensor A) is provided on the surface of the cast part 252 (a position where vibrations of the sheave 251 are easily transmitted). A hoist sensor B21b (hoist sensor B) is provided on the surface of the cast part 253 (a position where vibrations of the deflector sheave 13 are easily transmitted). Furthermore, a hoist sensor C21c (hoist sensor C) is provided on the floor surface on which the hoist 250 is installed.

[0039] The hoist sensor A21a (hoist sensor A) is provided in a position where it can detect any abnormality in the rotation of the sheave 251 (for example, the hoist sensor A detects large vibrations due to poor rotation of the sheave 251 (such as deterioration of the sheave 251 or misalignment of the rotation axis)).

[0040] The hoist sensor B21b (hoist sensor B) is provided in a position where it can detect any abnormality in the rotation of the deflector sheave 13 (for example, the hoist sensor B detects large vibrations due to poor rotation of the deflector sheave 13).

[0041] The hoisting machine sensor C21c (hoisting machine sensor C) is provided at a position where, when the hoisting machine 250 as a whole is vibrating abnormally, the abnormality can be detected.

[0042] By installing a plurality of hoist sensors in this way, it is possible to detect abnormalities in the components that make up the hoist 250. For example, hoist sensor A can detect an abnormality in the sheave 251 (motor), hoist sensor B can detect an abnormality in the deflector sheave 13, and hoist sensor C can detect abnormal vibrations in the entire hoist 250.

[0043] The hoist 250 of this embodiment is a gearless hoist, and the motor and sheave 251 rotate integrally (they share the same rotation axis). However, this is not limiting, and the hoist 250 may also be a geared hoist. In this case, a hoist sensor may be installed in a cast part that is in contact with the motor's rotation axis, another hoist sensor may be installed in a cast part that is in contact with the sheave (rotating object) that rotates via a gear, and yet another hoist sensor may be installed in a cast part that is in contact with the axis of the deflector pulley 13 (rotating object) that rotates in conjunction with the motor. In this way, when there are multiple rotating objects, a hoist sensor is installed in each position where vibrations from each rotating object are easily transmitted.

[0044] Further, the under-car sensor A22 (under-car sensor A) is installed at a position where it detects vibrations on the floor surface of the car 10. In this example, as shown in FIG. 3, the under-car sensor 22 is installed under the floor of the car 10. When an elevator passenger 4 is riding in the car 10, the soles of their feet come into contact with the floor surface of the car. For this reason, it can be said that the floor surface of the car is the position where passenger 4 is most likely to feel vibrations when the car 10 vibrates. In this way, when passenger 4 senses an abnormality (vibration), the under-car sensor A can detect vibrations that are as similar as possible to the vibrations felt by passenger 4.

[0045] The elevator is not limited to the traction elevator described above, in which the car 10 and the counterweight 12 are balanced. For example, it may be a drum elevator, in which the car 10 is raised and lowered by winding the rope 11 around a drum, without using the counterweight 12. A drum elevator is one form of a rope elevator. Even in this case, a hoisting machine sensor may be installed for each cast part that is in contact with the motor and the shaft of the rotating object that rotates in conjunction with the motor.

[0046] FIG. 4 is a diagram showing an example of the vibration data DB 62. The vibration data DB 62 stores vibration data detected by various sensors. The vibration data DB 62 stores, as vibration data, the "time" when the sensor detected the vibration, the "sensor name" of the sensor that detected the vibration, and the "vibration acceleration (unit: m / s 2) and the vibration level (unit: dB (decibels)) calculated based on the vibration acceleration are recorded.

[0047] For example, the vibration data DB 62 stores, as vibration data, a sensor named "under-car sensor A" with a vibration acceleration of "0.01 m / s 2 " was detected and the vibration level was recorded as "60dB."

[0048] Furthermore, the vibration data DB62 also contains the vibration acceleration of the hoisting machine sensor B at the same time as the 2 , the vibration level is 85 dB, and the vibration acceleration of the hoisting machine sensor C is 0.64 × 10 -4 m / s 2 , the vibration level is 16 dB, and the vibration acceleration of the hoisting machine sensor A is 0.51 × 10 -5 m / s 2 , vibration levels were recorded to be 14 dB.

[0049] The server 100 calculates the vibration level based on the vibration acceleration detected by each sensor, and records the vibration level together with the vibration acceleration in the vibration data DB 62. The vibration level may be calculated based on the vibration acceleration using a known calculation method.

[0050] When the vibration level is 55 dB or higher (hereinafter referred to as "reference value"), people feel the shaking. For this reason, in this embodiment, it is assumed that when the vibration level is 55 dB (reference value) or higher, the vibration of the car 10 may cause complaints from passengers 4. Note that a microphone may be installed in the car 10 so that abnormal sounds caused by the vibration can be collected from the microphone.

[0051] 5 is a diagram showing an example of the car lifting / lowering state DB 61. The car lifting / lowering state DB 61 records the lifting / lowering state of the car 10 of the elevator installed in the building 2. The car lifting / lowering state DB 61 records the time, the car name, and the lifting / lowering state as the car lifting / lowering state.

[0052] For example, the car lifting / lowering state DB 61 records the lifting / lowering state of the car with the name "car 1" as "lifting / lowering" at the time "October 10, 2022, 17:34:25." In this embodiment, it is assumed that only one car is installed in the building 2, and the car name of car 10 shown in FIG. 3 is "car 1." Furthermore, although not shown, it is assumed that the data recorded in the vibration data DB 62 and the probable abnormality cause table 64 is data for car 1.

[0053] Furthermore, the car lifting / lowering state DB61 records that car 1 is lifting / lowering at 10:04:43 on October 20, 2022, and that car 1 is stopped at 10:05:02 on October 20, 2022.

[0054] The server 100 estimates the location of the elevator abnormality based on the elevation state of the car 10, the detection result of the under-car sensor 22, and the detection result of the hoisting machine sensor 21. The vibration determination table 63 is used to estimate the location of the elevator abnormality.

[0055] 6 is a diagram showing an example of the vibration determination table 63. The vibration determination table 63 defines the vibration level of the under-car sensor A, the presence or absence of an abnormality in the hoist 250 detected by the hoist sensor 21 (hoist sensors A to C), the elevation state of the car 10, and the estimated causes of vibration and estimated cause numbers corresponding to the combinations thereof.

[0056] The hoist sensor 21 (hoist sensors A to C) detects an abnormality in the hoist 250 as follows: In the elevator of the building 2, the relationship between time series data of vibration acceleration (or vibration level) corresponding to each of the hoist sensors A to C and records of occurrence of abnormalities in the hoist 250 is collected in advance as history data.

[0057] This record of abnormalities occurring in the hoist 250 is a record of the results of a past inspection of the hoist 250 by a maintenance worker on-site based on a complaint from a passenger 4. Based on this historical data, the server 100 determines in advance the correspondence between the vibration acceleration (or vibration level) of the hoist sensors A to C and abnormalities in the hoist 250.

[0058] For example, if there is historical data recording an abnormality (fault) in the sheave 251 when the hoist sensor A detects a vibration acceleration greater than or equal to a predetermined value, the server 100 determines that the hoist 250 (sheave 251) is abnormal if the vibration acceleration of the hoist sensor A is greater than or equal to the predetermined value.

[0059] For example, if there is historical data recording an abnormality (fault) in the deflector sheave 13 when the hoist sensor B detects a vibration acceleration equal to or greater than a predetermined value, the server 100 determines that the hoist 250 (deflection sheave 13) is abnormal if the vibration acceleration of the hoist sensor B is equal to or greater than the predetermined value.

[0060] Any method may be used to determine the abnormality as described above, as long as some method can correlate the vibration acceleration patterns of the hoisting machine sensors A to C with the corresponding abnormality in the hoisting machine 250. For example, machine learning may be performed such that time series data of the vibration acceleration of the hoisting machine sensors A to C is used as input data, time series data of the corresponding record of the occurrence of an abnormality in the hoisting machine 250 is used as output data, and the presence or absence of an abnormality in the hoisting machine 250 (or the location where the abnormality has occurred) is output when the vibration acceleration data of the hoisting machine sensors A to C is input.

[0061] Returning to the example of Figure 6, the vibration determination table 63 stipulates that if vibration of a reference value (55db) or more is detected based on the detection result of the under-car sensor 22, and no abnormality is detected in the hoist 250 based on the detection result of the hoist sensor 21, and the lifting state is stopped, the vibration cause number = 1 and the estimated cause of vibration is determined to be "passengers getting on and off the car."

[0062] That is, in this case, it is assumed that the vibration level is at or above the level at which passenger 4 feels the shaking of car 10 (reference value: 55 dB), and that no abnormality in the hoist 250 has been detected by the method described above. In this case, it is possible that car 10 is vibrating due to an abnormality in a location other than hoist 250. However, because car 10 is stopped, it is not assumed that there is an abnormality caused by the running of car 10, and it is assumed that the vibration is caused by passengers 4 getting on and off. For this reason, it is determined that the estimated cause of the vibration is due to users (passenger 4) getting on and off car 10 (passengers getting on and off car). In this case, since it is simply passenger 4 getting on and off, it is determined that no abnormality has occurred in the elevator.

[0063] The vibration determination table 63 stipulates that if vibrations of a reference value (55 db) or more are detected based on the detection result of the under-car sensor 22, and no abnormality of the hoist 250 is detected based on the detection result of the hoist sensor 21, and the lifting state is lifting or lowering, the vibration cause number is 2 and the estimated cause of vibration is determined to be "rope, guide shoe." "Rope, guide shoe" indicates the possibility that an abnormality has occurred in at least one of the rope 11 and the guide shoe 14.

[0064] In this case, unlike the case where vibration cause number = 1, the car 10 is ascending or descending, so no vibrations are generated by passengers 4 getting on or off. Also, if there is no abnormality in the hoisting machine 250 and it is ascending or descending, it is estimated that the abnormality has occurred in at least one of the rope 11 and the guide shoe 14 (see Figure 3).

[0065] The rope 11 is made up of multiple ropes. For example, if the tension of each rope is uneven, an abnormality may occur in which the car 10 vibrates while the car 10 is traveling (for example, the vibration of a rope with weak tension is transmitted to the car 10). In this case, adjustment is required to equalize the tension of all the ropes. Also, if a malfunction occurs in the guide shoe 14, vibration may occur between the guide shoe 14 and the guide rail 15 as the car 10 travels, causing an abnormality in which the car 10 vibrates.

[0066] The vibration determination table 63 specifies that if vibrations of a standard value (55 db) or more are detected based on the detection results of the under-car sensor 22, and an abnormality in the hoist 250 is detected based on the detection results of the hoist sensor 21, and the lifting state is stopped, the vibration cause number is 3 and the estimated cause of vibration is determined to be the "hoist."

[0067] In this case, since the car 10 is stopped, no abnormality is expected in the rope 11 and the guide shoe 14. Therefore, the location where the abnormality occurs is limited to the hoisting machine 250.

[0068] The vibration determination table 63 stipulates that if vibrations of a reference value (55 db) or more are detected based on the detection result of the under-car sensor 22, an abnormality in the hoist 250 is detected based on the detection result of the hoist sensor 21, and the lifting state is in the ascending or descending state, the vibration cause number is 4 and the estimated cause of vibration is determined to be "the hoist, rope, guide shoe." "The hoist, rope, guide shoe" indicates that there is a possibility that an abnormality has occurred in at least one of the hoist 250, the rope 11, and the guide shoe 14.

[0069] In this case, since the car 10 is traveling, it is assumed that there is a possibility of an abnormality in the rope 11 and the guide shoe 14, and furthermore, it is also assumed that there is a possibility of an abnormality in the hoisting machine 250.

[0070] The vibration determination table 63 stipulates that if the vibration detected based on the detection result of the under-car sensor 22 is less than the reference value (55 db), and if no abnormality is detected in the hoist 250 based on the detection result of the hoist sensor 21, and if the lifting state is stopped, the vibration cause number is 5 and the estimated cause of vibration is determined to be "no abnormality."

[0071] The vibration determination table 63 stipulates that if the vibration detected based on the detection result of the under-car sensor 22 is less than the reference value (55 db), and if no abnormality is detected in the hoist 250 based on the detection result of the hoist sensor 21, and if the lifting state is in the lifting state, the vibration cause number is 6 and the estimated cause of the vibration is determined to be "no abnormality."

[0072] When the vibration cause number is 5 or 6, the vibration has not reached the level at which passengers 4 feel the shaking of the car 10 (reference value: 55 dB). Therefore, no complaints are made by passengers 4. In this case, it is also determined that no abnormality has occurred in the rope 11 and the guide shoe 14. Furthermore, since no abnormality has been detected in the hoisting machine 250, it is also determined that no abnormality has occurred in the elevator.

[0073] The vibration determination table 63 stipulates that if the vibration detected based on the detection result of the under-car sensor 22 is less than the reference value (55 db), and an abnormality in the hoist 250 is detected based on the detection result of the hoist sensor 21, and the lifting state is stopped, the vibration cause number is 7 and the estimated cause of the vibration is determined to be the "hoist."

[0074] The vibration determination table 63 stipulates that if the vibration detected based on the detection result of the under-car sensor 22 is less than the reference value (55 db), and an abnormality in the hoist 250 is detected based on the detection result of the hoist sensor 21, and the lifting state is in the ascending or descending state, the vibration cause number is 8 and the estimated cause of the vibration is determined to be the "hoist."

[0075] When the vibration cause number is 7 or 8, the vibration has not reached the level at which passengers 4 feel the shaking of the car 10 (reference value: 55 dB). Therefore, no complaints are made by passengers 4. In this case, it is also determined that no abnormality has occurred in the rope 11 and the guide shoe 14. However, since an abnormality has been detected in the hoist 250, it is determined that the location of the abnormality is the "hoist 250."

[0076] 7 is a diagram showing an example of the estimated abnormality cause table 64. The estimated abnormality cause table 64 contains information such as time, sensor name, vibration acceleration (unit: m / s 2 ), vibration level (unit: dB), lifting / lowering state, and estimated cause (number) are recorded. The server 100 applies the data acquired from the vibration data DB 62 and the car lifting / lowering state DB 61 to the vibration determination table 63, performs estimation processing, and records the data based on the result in the abnormality estimated cause table 64.

[0077] For example, suppose that the data of the vibration data DB 62 and the car lifting / lowering state DB 61 at 17:34:25 on October 10, 2022 are applied to the vibration determination table 63. The abnormality estimated cause table 64 contains the following data: vibration acceleration of the under-car sensor A = 0.01 m / s 2 , vibration level = 60 dB, vibration acceleration of hoisting machine sensor B = 0.17 m / s 2 , the vibration level = 85 dB, and the vibration acceleration of the hoisting machine sensor C = 0.64 × 10 -4 m / s 2 , the vibration level is 16 dB, and the vibration acceleration of the hoisting machine sensor A is 0.51 × 10 -5 m / s 2 , the vibration level is 14 dB (vibration data DB62), and the lifting state is lifting (car lifting state DB61) is transcribed. In this case, it is assumed that an abnormality in the deflector sheave 13 of the hoist 250 is detected based on the detection result of the hoist sensor B.

[0078] As a result, since the vibration level of the under-car sensor A is equal to or higher than the reference value (55 dB), an abnormality is detected in the hoist sensor B (abnormality in the deflector sheave 13), and the car 10 is ascending or descending, the vibration cause number is determined to be 4 and the estimated cause of vibration is determined to be "hoist, rope, guide shoe." Furthermore, if the car 10 subsequently stops, the vibration cause number is determined to be 3 and the estimated cause of vibration is determined to be "hoist." Therefore, "hoist (3), hoist, rope, guide shoe (4)" is recorded in the "essential cause (number)" as the location where the assumed abnormality occurred.

[0079] Also, it is assumed that the data of the vibration data DB 62 and the car lifting / lowering state DB 61 at 10:04:43 on October 20, 2022 are applied to the vibration determination table 63. The abnormality estimated cause table 64 contains the following data: vibration acceleration of the under-car sensor A = 0.01 m / s 2 , vibration level = 60 dB, vibration acceleration of hoisting machine sensor B = 0.17 × 10 -3 m / s 2 , the vibration level is 25 dB, and the vibration acceleration of the hoisting machine sensor C is 0.64 × 10 -4 m / s 2 , the vibration level is 16 dB, and the vibration acceleration of the hoisting machine sensor A is 0.51 × 10 -5 m / s 2 The data is transcribed that the vibration level is 14 dB (vibration data DB62) and the lifting state is lifting (car lifting state DB61). In this case, it is assumed that no abnormality in the hoist 250 has been detected based on the detection results of the hoist sensors A to C.

[0080] As a result, since the vibration level of the under-car sensor A is equal to or higher than the reference value (55 dB), and no abnormality in the hoist 250 is detected based on the detection results of the hoist sensors A to C, and the car 10 is ascending or descending, the vibration cause number is determined to be 2 and the estimated cause of vibration is determined to be "rope, guide shoe." If the car 10 subsequently stops, the vibration cause number is determined to be 1 and the estimated cause of vibration is determined to be "passengers getting on or off the car," but this is not an elevator abnormality. For this reason, "rope, guide shoe (2)" is recorded in the "essential cause (number)" as the location where the assumed abnormality occurred.

[0081] 8 and 9 are flowcharts of the estimation process. The estimation process is executed in procedure 3 shown in Fig. 1. Hereinafter, "step" may also be simply referred to as "S".

[0082] As shown in FIG. 8, when the estimation process starts, the server 100 determines an estimated cause number for the data acquired from the car lifting / lowering state DB 61 and the vibration data DB 62 based on the vibration determination table 63 in S100 (see FIG. 6).

[0083] If the estimated cause number is 1 (YES in S101), the server 100 estimates that the estimated cause is "passenger getting on or off the car" (S102) and ends this process. If the estimated cause number is 1, the server 100 does not estimate that an abnormality has occurred.

[0084] If the presumed cause number is not 1 (NO in S101) but is 2 (YES in S103), the server 100 presumes that the presumed cause is "rope, guide shoe" (S104) and ends this processing. In other words, if the server 100 detects vibrations of a reference value (55 db) or greater based on the detection result of the under-car sensor 22, does not detect an abnormality in the hoist 250 based on the detection result of the hoist sensor 21, and the condition that the lifting state is lifting or lowering (also referred to as the "first condition") is met (presumed cause number = 2), the server 100 presumes that the abnormality has occurred in at least one of the rope 11 that suspends the car 10 and the guide shoe 14 that is installed on the car 10 and guides the lifting and lowering of the car 10.

[0085] If the estimated cause number is not 2 (NO in S103) but is 3 (YES in S105), the server 100 estimates that the estimated cause is the "hoist" (S106) and ends this process. In other words, if the server 100 detects vibrations equal to or greater than a reference value based on the detection result of the under-car sensor 22, detects an abnormality in the hoist 250 based on the detection result of the hoist sensor 21, and the condition that the lifting state is stopped (also referred to as the "second condition") is met (estimated cause number = 3), the server 100 estimates that the abnormality has occurred in the hoist 250.

[0086] If the estimated cause number is not 3 (NO in S105) but is 4 (YES in S107), the server 100 estimates that the estimated cause is "hoist, rope, guide shoe" (S108), and ends this process. If the server 100 detects vibration equal to or greater than the reference value based on the detection result of the under-car sensor 22, detects an abnormality in the hoist 250 based on the detection result of the hoist sensor 21, and the condition that the lifting state is lifting or lowering (also referred to as the "third condition") is met (estimated cause number = 4), the server 100 estimates that the abnormality has occurred in at least one of the hoist 250, the rope 11, and the guide shoe 14.

[0087] 9, if the estimated cause number is not 4 (NO in S107) and the estimated cause number is 5 (YES in S201), the server 100 estimates the estimated cause to be "no abnormality" (S202) and ends this process. If the estimated cause number is not 5 (NO in S201) and the estimated cause number is 6 (YES in S203), the server 100 estimates the estimated cause to be "no abnormality" (S204) and ends this process. If the estimated cause number is 5 or 6, the server 100 does not estimate that an abnormality has occurred.

[0088] If the estimated cause number is not 6 (NO in S203) and is not 7 (YES in S205), the server 100 estimates that the estimated cause is "hoisting machine" (S206) and ends this process. If the estimated cause number is not 7 (NO in S205) and is not 8 (YES in S207), the server 100 estimates that the estimated cause is "hoisting machine" (S208) and ends this process. In other words, if the estimated cause number is 7 or 8, the server 100 estimates that the hoisting machine 250 is the location where the abnormality has occurred.

[0089] 10 is a flowchart of the display determination process, which is executed in step 4 shown in FIG.

[0090] When the display determination process starts, if the estimated cause number is 2, 3, or 4 (YES in S301), the server 100 sets the display data for the estimated cause (S302) and ends this process. Here, setting the display data means setting display data for displaying the estimation result estimated by the server 100 in the estimation process on the terminal 400.

[0091] For example, the data for car 1 at 10:04:43 on October 20, 2022 shown in the table 64 for estimated abnormalities in Figure 7 has an estimated cause number of 2. Therefore, the terminal 400 displays that there is a possibility that an abnormality occurred in at least one of the rope and guide shoe of car 1 at 10:04:43 on October 20, 2022.

[0092] Although not shown, if the "hoist" is included in the estimated causes of vibration, the location of the abnormality in the hoist 250 described above (the sheave 251, the deflector sheave 13, and the entire hoist 250) may also be displayed. This allows the maintenance personnel to know the location of the abnormality in more detail.

[0093] On the other hand, if the probable cause number is not 2, 3, or 4 (that is, the probable cause number is 1, 5, 6, 7, or 8) (NO in S301), the server 100 ends this process without setting the display data of the probable cause.

[0094] For example, assume that for car 1 at 14:23:55 on October 29, 2022, the probable cause number is 8 and the probable cause is estimated to be the hoist. However, in this case, the display data for the probable cause is not set, so the probable cause result is not displayed on terminal 400.

[0095] In this way, the display unit 440 displays the estimation result of the server 100. However, the display unit 440 displays the estimation result when the estimated cause number is any one of 2 to 4 (any one of the first condition, the second condition, and the third condition is met), but does not display the estimation result when no vibration equal to or greater than the reference value is detected based on the detection result of the under-car sensor 22 and the condition for detecting an abnormality in the hoist 250 based on the detection result of the hoist sensor 21 (also referred to as the "fourth condition") is met (the estimated cause number is 7 or 8).

[0096] Abnormalities with presumed cause numbers 2 to 4 are abnormalities that users (passengers 4) notice. In other words, these abnormalities may require on-site investigation by maintenance personnel due to user complaints. On the other hand, abnormalities with presumed cause numbers 7 and 8 are abnormalities that users do not notice. In this case, user complaints are unlikely to occur. In this embodiment, since the purpose is to quickly identify the cause of abnormalities that users notice, only the former abnormalities are displayed. If both types of abnormalities were displayed together, it would take a long time to find the former abnormality, or the former abnormality may be overlooked. With the above configuration, it is possible to quickly identify abnormalities that elevator users notice among abnormalities occurring in the elevator, and to quickly respond to complaints from elevator users. Note that the latter abnormalities may also be displayed, or the former abnormalities may be displayed in a manner that emphasizes them more than the latter abnormalities.

[0097] As described above, in this embodiment, the elevator abnormality investigation support system 1 includes the under-car sensor 22 (under-car sensor A), the hoist sensor 21 (hoist sensors A to C), and the server 100 as a control device. The under-car sensor 22 detects vibrations of the floor surface of the elevator car 10. The hoist sensor 21 detects vibrations of the elevator hoist 250. The server 100 estimates the location of the elevator abnormality based on the elevation state of the car 10, the detection results of the under-car sensor 22, and the detection results of the hoist sensor 21.

[0098] The floor of the car 10 is a location where passengers 4 are likely to feel the shaking of the car 10. Because an under-car sensor A is provided that detects vibrations on the floor of the car 10, it is possible to predict complaints from passengers 4 caused by vibrations of the car 10. Then, using the hoist 250 and the sensors that detect vibrations on the floor of the car 10, it is possible to automatically detect the location of an elevator abnormality felt by passengers 4 (where the cause of the abnormality is). This makes it possible to quickly identify the cause of an abnormality felt by an elevator user (passenger 4) due to vibrations inside the car 10, without relying on the experience of a maintenance worker.

[0099] When the server 100 detects vibrations equal to or greater than the reference value based on the detection result of the under-car sensor 22, does not detect an abnormality in the hoist 250 based on the detection result of the hoist sensor 21, and the first condition that the elevator is in the ascending or descending state is met (presumed cause number = 2), the server 100 presumes that the abnormality has occurred in at least one of the rope 11 suspending the car 10 and the guide shoe 14 attached to the car 10 and guiding the ascending or descending of the car 10. In this case, if a complaint is made by an elevator user, a maintenance worker can simply investigate the abnormality in the rope 11 and the guide shoe 14 on-site, thereby enabling efficient investigation of the abnormality.

[0100] When the server 100 detects vibrations equal to or greater than a reference value based on the detection result of the under-car sensor 22, detects an abnormality in the hoist 250 based on the detection result of the hoist sensor 21, and the second condition that the lifting state is stopped is met (presumed cause number = 3), the server 100 presumes that the abnormality is occurring in the hoist 250. In this case, if a complaint is made by an elevator user, a maintenance worker can investigate the abnormality in the hoist 250 on-site, which allows for efficient investigation of the abnormality.

[0101] When the server 100 detects vibrations equal to or greater than a reference value based on the detection result of the under-car sensor 22, detects an abnormality in the hoist 250 based on the detection result of the hoist sensor 21, and the third condition that the elevator is in the ascending or descending state is met (presumed cause number = 4), the server 100 presumes that the abnormality has occurred in at least one of the hoist 250, the rope 11, and the guide shoe 14. In this case, if a complaint is made by an elevator user, a maintenance worker can simply investigate the abnormality in the hoist 250, the rope 11, and the guide shoe 14 on-site, which allows for efficient abnormality investigation.

[0102] The abnormality investigation support system 1 further includes a display unit 440 as a display device. The display unit 440 displays the estimation results of the server 100. The display unit 440 displays the estimation results when any one of the first condition, second condition, and third condition is met (the estimated cause number is any one of 2 to 4), but does not display the estimation results when the fourth condition is met (the estimated cause number is 7 or 8), in which vibrations equal to or greater than a reference value are not detected based on the detection result of the under-car sensor 22 and an abnormality in the hoist machine 250 is detected based on the detection result of the hoist machine sensor 21. This makes it possible to quickly identify abnormalities that elevator users perceive among abnormalities that occur in the elevator, and to quickly respond to complaints from elevator users.

[0103] The under-car sensor 22 is provided under the floor of the car 10. The hoist sensor 21 includes a hoist sensor A as a first hoist sensor, a hoist sensor B as a second hoist sensor, and a hoist sensor C as a third hoist sensor. The hoist sensor A is provided in a cast part 252 with which the rotating shaft of a sheave 251 (motor) of the hoist 250 is in contact. The hoist sensor B is provided in a cast part 253 with which the shaft of a rotating object (deflection pulley 13) that rotates in conjunction with the motor of the hoist 250 is in contact. The hoist sensor C is provided on the floor surface on which the hoist 250 is installed. By installing multiple hoist sensors, it is possible to quickly determine at which position (in which part) of the hoist 250 an abnormality has occurred.

[0104] The embodiments disclosed herein are intended to be combined as appropriate within the scope of any technical inconsistency. The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The technical scope of the present disclosure is defined by the claims, not the description of the above-mentioned embodiments, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0105] 1 Abnormality investigation support system, 2 Building, 3 Hoistway, 4 Passenger, 5 Investigator, 10 Cage, 11 Rope, 12 Counterweight, 13 Deflector, 14 Guide shoe, 15 Guide rail, 20 Communication equipment, 21, 21a, 21b, 21c Hoisting machine sensor, 22 Under-car sensor, 61 Cage lifting status DB, 62 Vibration data DB, 63 Vibration judgment table, 64 Abnormality estimation cause table, 100 Server, 111, 311, 411 Processor, 112, 312, 412 Memory, 120, 320, 420 Communication IF, 210 Elevator control panel, 250 Hoisting machine, 251 Sheave, 252 Casting part, 253 Casting part, 300 Elevator monitoring system, 301 Monitoring server, 400 Terminal, 430 Input unit, 440 Display section.

Claims

1. An elevator abnormality investigation support system, a car sensor that detects vibrations on the floor surface of the elevator car; a hoist sensor for detecting vibrations of the elevator hoist; a control device that estimates a location of an abnormality in the elevator based on the lifting state of the car, the detection result of the car sensor, and the detection result of the hoisting machine sensor; The car sensor is provided under the floor of the car, The hoisting machine sensor a first hoist sensor provided on a casting part with which a rotating shaft of a motor of the hoist is in contact; a second hoist sensor provided on a casting part with which a shaft of a rotating object that rotates in conjunction with the motor of the hoist is in contact; and a third hoisting machine sensor provided on the floor surface on which the hoisting machine is installed.

2. 2. The abnormality investigation support system of claim 1, wherein when a first condition is met in which vibrations equal to or greater than a reference value are detected based on the detection result of the car sensor, no abnormality in the hoist is detected based on the detection result of the hoist sensor, and the lifting state is in the process of lifting or lowering, the control device estimates that the abnormality has occurred in at least one of a rope suspending the car and a guide shoe installed on the car to guide the lifting or lowering of the car.

3. The abnormality investigation support system according to claim 2, wherein the control device detects vibrations equal to or greater than the reference value based on the detection result of the car sensor, detects an abnormality in the hoist based on the detection result of the hoist sensor, and, when a second condition is met that the lifting state is stopped, estimates that the hoist is the location where the abnormality has occurred.

4. The abnormality investigation support system according to claim 3, wherein the control device detects vibrations equal to or greater than the reference value based on the detection result of the car sensor, detects an abnormality in the hoist based on the detection result of the hoist sensor, and, when a third condition is met that the lifting state is in the process of lifting or lowering, estimates that the abnormality has occurred in at least one of the hoist, the rope, and the guide shoe.

5. Further, a display device is provided that displays the estimation result of the control device, The display device includes: When any one of the first condition, the second condition, and the third condition is satisfied, the estimation result is displayed; 5. The abnormality investigation support system according to claim 4, wherein the estimated result is not displayed when a fourth condition is met in which vibrations equal to or greater than the reference value are not detected based on the detection result of the car sensor and an abnormality in the hoist is detected based on the detection result of the hoist sensor.

6. An elevator abnormality investigation support method, comprising: acquiring a detection result of a car sensor that detects vibrations on the floor surface of the elevator car; acquiring a detection result of a hoist sensor that detects vibration of the elevator hoist; and estimating a location of an abnormality in the elevator based on the lifting / lowering state of the car, the detection result of the car sensor, and the detection result of the hoisting machine sensor, The car sensor is provided under the floor of the car, The hoisting machine sensor a first hoist sensor provided on a casting part with which a rotating shaft of a motor of the hoist is in contact; a second hoist sensor provided on a casting part with which a shaft of a rotating object that rotates in conjunction with the motor of the hoist is in contact; and a third hoisting machine sensor provided on the floor surface on which the hoisting machine is installed.

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