Abnormal sound diagnostic system and abnormal sound diagnostic method for elevator

The elevator abnormal sound diagnosis system uses sound sensors and time difference calculations to efficiently identify abnormal sound sources, offering a cost-effective and simplified solution for diagnosing elevator issues.

JP2025115299AActive Publication Date: 2025-08-06TOSHIBA ELEVATOR KK
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
JP2024009779
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-01-25
Publication Date
2025-08-06
Estimated Expiration
2044-01-25

AI Technical Summary

Technical Problem

Existing elevator abnormal sound diagnosis systems are complex and expensive due to the need for sophisticated processing and multiple sensors.

Method used

An elevator abnormal sound diagnosis system using two or more sound sensors on the car to measure sound pressure, calculate time differences between peak values, and identify the source of abnormal sounds based on these measurements and equipment layout data.

Benefits of technology

Provides a simple and cost-effective method to diagnose elevator abnormalities by accurately identifying the source of abnormal sounds, reducing complexity and cost compared to existing systems.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 2025115299000001_ABST
    Figure 2025115299000001_ABST
Patent Text Reader

Abstract

To provide a simple and inexpensive abnormal sound diagnostic system for an elevator.SOLUTION: In an abnormal sound diagnostic system for an elevator according to an embodiment, when it is determined that an abnormal sound is emitted, based on sound pressure measurement data created by measurement of each sound sensor, a time difference between times when sound pressure peak values of respective sound pressure measurement data occur is calculated as a measurement time difference. Based on the measurement time difference, the occurring position of the abnormal sound with respect to a reference point on the upper surface of an elevator car is calculated as a measurement occurring position. Based on the measurement occurring position and device arrangement data at a raising / lowering position of the elevator car where the sound pressure peak value has occurred, an abnormal sound emitting device which has emitted the abnormal sound is identified.SELECTED DRAWING: Figure 3
Need to check novelty before this filing date? Find Prior Art

Description

[Technical Field]

[0001] The embodiments relate to an elevator abnormal sound diagnosis system and an abnormal sound diagnosis method. [Background technology]

[0002] Elevator abnormal sound diagnosis is performed by comparing sound pressure data during normal operation with sound pressure data during diagnosis. For example, an abnormal sound diagnosis system is known that identifies the elevator position where an abnormal sound is occurring based on images captured while the car is ascending or descending, measured sound pressure data, and the elevator position of the car. Alternatively, an abnormal sound diagnosis system is known that identifies the elevator position where an abnormal sound is occurring based on the orientations of multiple sound sensors, the sound pressure difference, the elevator position of the car, and a learning database. Such abnormal sound diagnosis systems can be expensive due to complex processing. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7006864 [Patent Document 2] Japanese Patent Publication No. 2022-025828 Summary of the Invention [Problem to be solved by the invention]

[0004] An object of the embodiments is to provide a simple and inexpensive abnormal sound diagnosis system and method for an elevator. [Means for solving the problem]

[0005] An abnormal sound diagnosis system for an elevator according to an embodiment includes two or more sound sensors provided on the top surface of a car to measure sounds generated while the car is ascending or descending; a first abnormal sound detection unit that determines whether or not an abnormal sound is occurring based on sound pressure measurement data created by measurements by each sound sensor; a first time difference calculation unit that, when it is determined by the first abnormal sound detection unit that an abnormal sound is occurring, calculates, as a measurement time difference, the time difference between the times at which sound pressure peak values of each sound pressure measurement data occurred; a position calculation unit that calculates, based on the measurement time difference, the position at which the abnormal sound occurred relative to a reference point on the top surface of the car as a measured occurrence position; and an equipment identification unit that identifies the abnormal sound-generating equipment that generated the abnormal sound based on the measured occurrence position and equipment layout data for the ascending or descending position of the car at which the sound pressure peak value occurred.

[0006] An abnormal sound diagnosis method for an elevator according to an embodiment includes the steps of: measuring sounds generated while the car is ascending or descending using two or more sound sensors provided on the top surface of the car; determining whether or not an abnormal sound is occurring based on sound pressure measurement data created by measurements from each sound sensor; calculating, if it is determined that an abnormal sound is occurring, the time difference between the times when the sound pressure peak values of each sound pressure measurement data occurred as a measurement time difference; calculating, based on the measurement time difference, the position where the abnormal sound occurred relative to a reference point on the top surface of the car as a measurement occurrence position; and identifying the abnormal sound-generating device that caused the abnormal sound based on the measurement occurrence position and device location data at the ascending or descending position of the car where the sound pressure peak value occurred. [Brief explanation of the drawings]

[0007] [Figure 1] FIG. 1 is a schematic diagram showing an elevator apparatus according to a first embodiment. [Figure 2] FIG. 2 is a schematic diagram showing the arrangement of equipment when the elevator shaft and the car in FIG. 1 are viewed from above. [Figure 3] FIG. 3 is a block diagram showing the abnormal sound diagnostic system for an elevator according to the first embodiment. [Figure 4]FIG. 4(a) is a schematic diagram for explaining the determination process by the first abnormal sound determination unit shown in FIG. 3, FIG. 4(b) is a schematic diagram for explaining the arrival time of sound from the sound source to the sound sensor shown in FIG. 2, and FIG. 4(c) is a schematic diagram for explaining the calculation process of the measurement time difference by the first time difference calculation unit shown in FIG. 3. [Figure 5] FIG. 5(a) is a schematic diagram for explaining the determination process by the second abnormal sound determination unit shown in FIG. 3, and FIG. 5(b) is a schematic diagram for explaining the calculation process of the measurement time difference by the second time difference calculation unit shown in FIG. 3. [Figure 6] FIG. 6 is a schematic diagram showing the arrangement of devices when the car of FIG. 1 is viewed from above, and is a diagram for explaining the reference time difference. [Figure 7] 7(a) is a table for explaining the reference time difference used by the position calculation unit shown in FIG. 3, and FIG. 7(b) is a graph for explaining the calculation process of the occurrence position by the position calculation unit shown in FIG. 3. [Figure 8] FIG. 8(a) is a schematic plan view showing an example of equipment layout in the upper part of the elevator shaft, and FIG. 8(b) is a diagram showing an example of equipment layout data shown in FIG. 8(a). [Figure 9] FIG. 9(a) is a schematic plan view showing an example of equipment layout in the center of a hoistway, and FIG. 9(b) is a diagram showing an example of equipment layout data shown in FIG. 9(a). [Figure 10] FIG. 10(a) is a schematic plan view showing an example of equipment layout in the lower part of the elevator shaft, and FIG. 10(b) is a diagram showing an example of equipment layout data shown in FIG. 10(a). [Figure 11] FIG. 11 is a flowchart showing the method for diagnosing abnormal sounds in an elevator according to the first embodiment. [Figure 12] FIG. 12 is a block diagram showing an abnormal sound diagnostic system for an elevator according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0008] Hereinafter, an elevator abnormal sound diagnostic system and an abnormal sound diagnostic method according to this embodiment will be described with reference to the drawings.

[0009] (First embodiment) First, an elevator abnormal sound diagnostic system and abnormal sound diagnostic method according to a first embodiment will be described with reference to FIGS. 1 to 11. FIG.

[0010] As shown in FIG. 1, elevator car 1 according to this embodiment is connected to a counterweight (not shown) by a main rope. This main rope is wound around a traction sheave connected to a hoist (not shown), and the hoist winds up the main rope, causing car 1 and the counterweight to rise and fall. The car 1 is guided to rise and fall by a pair of guide rails 3A and 3B provided in an elevator shaft 2. Guide rollers 4A and 4B that roll on the guide rails 3A and 3B are provided at the top and bottom of car 1. As shown in FIG. 2, sheaves 5A and 5B around which the main rope is wound are provided on the top surface of car 1. In addition, a first car device 6A, a second car device 6B, and a third car device 6C are provided on the top surface of car 1.

[0011] The elevator abnormal sound diagnostic system 10 according to this embodiment is a system that diagnoses whether or not an abnormal sound is generated while the elevator car 1 is ascending or descending. The abnormal sound diagnostic system 10 will be described below.

[0012] As shown in FIGS. 2 and 3, the abnormal sound diagnosis system 10 includes two or more sound sensors 11-14, a diagnosis device 20, a sound database 15, a time difference database 16, an equipment location database 17, and a display unit 18. The sound sensors 11-14 and the diagnosis device 20 may be installed on the top surface of the elevator car 1. The sound database 15, the time difference database 16, and the equipment location database 17 may be installed inside or outside the elevator control device. Alternatively, the databases 15-17 may be installed on a cloud server. The display unit 18 may be installed in the elevator monitoring room. In this embodiment, as an example, an abnormal sound diagnosis system 10 including four sound sensors 11-14 will be described, as shown in FIG. 2. The four sound sensors 11-14 are a first sound sensor 11, a second sound sensor 12, a third sound sensor 13, and a fourth sound sensor 14.

[0013] The sound sensors 11 to 14 are provided on the top surface of the car 1. The sound sensors 11 to 14 measure sounds generated while the car 1 is ascending or descending. The sound sensors 11 to 14 may be microphones capable of measuring sounds from 20 Hz to 20 kHz. The sound sensors 11 to 14 may be connected to a sound pressure data creation unit 22 (described later) via a wired or wireless connection. Sound signals are transmitted from the sound sensors 11 to 14 to the sound pressure data creation unit 22. The sound sensors 11 to 14 may be fixed to the top surface of the car 1. As shown in FIG. 2, the sound sensors 11 to 14 may be disposed in the center of an upper beam (not shown) located on the top surface of the car 1 when viewed from above, or may be disposed at each of the four corners of the top surface of the car 1. If the sound sensors 11 to 14 are directional, the direction of the sound sensors 11 to 14 may be arbitrary, or the direction of the sound sensors 11 to 14 may be fixed.

[0014] The diagnostic device 20 performs various processes for abnormal sound diagnosis according to this embodiment. The diagnostic device 20 may include a communication unit 21, a sound pressure data creation unit 22, a first abnormal sound detection unit 23, a first time difference calculation unit 24, a spectrogram creation unit 25, a second abnormal sound detection unit 26, a second time difference calculation unit 27, a position calculation unit 28, an equipment identification unit 29, a car position acquisition unit 30, an equipment replacement determination unit 31, and an information recording unit 32.

[0015] The communication unit 21 is configured to be able to communicate with the above-mentioned sound database 15, time difference database 16, equipment location database 17, and display unit 18. The communication unit 21 may be able to communicate with each of the databases 15 to 17 and the display unit 18 via the Internet.

[0016] The sound pressure data creation unit 22 creates sound pressure measurement data from the sounds measured by each of the sound sensors 11 to 14. The sound pressure measurement data is data that indicates the relationship between the time after the elevator car 1 starts ascending or descending and the sound pressure. FIG. 4(a) shows a schematic diagram of the sound pressure measurement data. The sound pressure data creation unit 22 creates sound pressure measurement data for each of the sound sensors 11 to 14. Therefore, in this embodiment, four pieces of sound pressure measurement data are created from one measurement.

[0017] The first abnormal sound detector 23 determines whether or not an abnormal sound is occurring based on each piece of sound pressure measurement data. For example, the first abnormal sound detector 23 may determine whether or not an abnormal sound is occurring by comparing the sound pressure peak value of pre-stored sound pressure reference data with the sound pressure peak value of the sound pressure measurement data. Each piece of sound pressure measurement data is compared with the corresponding sound pressure reference data. That is, the sound pressure measurement data and the sound pressure reference data are each associated with the corresponding sound sensor 11 to 14.

[0018] More specifically, the first abnormal sound detector 23 acquires each piece of sound pressure reference data stored in the sound database 15 (described later) via the communication unit 21. Each piece of sound pressure reference data is compared with the corresponding sound pressure measurement data. More specifically, as shown in FIG. 4(a), if the sound pressure peak difference ΔP obtained by subtracting the sound pressure peak value of the corresponding sound pressure reference data P0 from the sound pressure peak value of the sound pressure measurement data P1 is equal to or greater than a predetermined first threshold, it may be determined that an abnormal sound has occurred. If this sound pressure peak difference ΔP is smaller than the first threshold, it may be determined that no abnormal sound has occurred. The sound pressure peak value is the highest value of sound pressure in the sound pressure measurement data. FIG. 4(a) representatively illustrates sound pressure measurement data P1 obtained from the first sound sensor 11.

[0019] As described above, in this embodiment, four pieces of sound pressure measurement data are created. First abnormal sound detector 23 compares each piece of sound pressure measurement data with the corresponding sound pressure reference data. If the peak sound pressure value difference ΔP for at least one piece of sound pressure measurement data is equal to or greater than the first threshold value described above, first abnormal sound detector 23 may determine that an abnormal sound is occurring.

[0020] When the first abnormal sound detector 23 determines that an abnormal sound is occurring, the first time difference calculator 24 calculates the time difference between the times when the sound pressure peak values of the respective sound pressure measurement data occurred as the measurement time difference. The measurement time difference is the time difference between the time it takes for an abnormal sound generated from an abnormal sound-generating device, which will be described later, to reach each of the sound sensors 11-14. As shown in FIG. 4(b), the time it takes for an abnormal sound generated from an abnormal sound-generating device to reach each of the sound sensors 11-14 may differ. Therefore, the abnormal sound diagnosis system 10 according to this embodiment identifies the location where the abnormal sound is occurring using the time difference between the time it takes for the abnormal sound to reach each of the sound sensors 11-14.

[0021] For example, the first time difference calculation unit 24 may calculate the difference between the time when a sound pressure peak value of the sound pressure measurement data corresponding to the first sound sensor 11 occurs and the time when a sound pressure peak value of the sound pressure measurement data corresponding to the other sound sensors 12 to 14 occurs. In this embodiment, as shown in FIG. 4(c), the first time difference calculation unit 24 calculates the measurement time difference Δt between the time t2 when a sound pressure peak value corresponding to the second sound sensor 12 occurs and the time t1 when a sound pressure peak value corresponding to the first sound sensor 11 occurs. 21i 4(c) shows a representative example of sound pressure measurement data P1 obtained from the first sound sensor 11 and sound pressure measurement data P2 obtained from the second sound sensor 12. Similarly, the first time difference calculation unit 24 calculates the measurement time difference Δt between the time t1 and the time t3 when the sound pressure peak value corresponding to the third sound sensor 13 occurred. 31i The first time difference calculation unit 24 also calculates the measurement time difference Δt between the time t4 when the sound pressure peak value corresponding to the fourth sound sensor 14 occurred and the time t1. 41i Calculate.

[0022] The spectrogram creation unit 25 creates a measurement spectrogram from each piece of sound pressure measurement data created by the sound pressure data creation unit 22 described above. The measurement spectrogram may be created by performing a fast Fourier transform on the sound pressure measurement data. The measurement spectrogram is data that shows the relationship between the time, frequency, and sound pressure after the elevator car 1 starts moving up or down. FIG. 5(a) schematically shows the frequency-sound pressure characteristics obtained from the measurement spectrogram. FIG. 5(a) also shows the frequency-sound pressure characteristics obtained from a reference spectrogram, which will be described later, superimposed on the measurement spectrogram. The spectrogram creation unit 25 creates a measurement spectrogram for each piece of sound pressure measurement data. Therefore, in this embodiment, four measurement spectrograms are created from one measurement, and frequency-sound pressure characteristics are obtained for each piece. FIG. 5(a) shows a representative example of the frequency-sound pressure characteristics obtained from the measurement spectrogram obtained from the first sound sensor 11.

[0023] The spectrogram creation unit 25 may create the above-described measurement spectrogram when the first abnormal sound detector 23 determines that no abnormal sound has occurred. Alternatively, the spectrogram creation unit 25 may create the measurement spectrogram not only when the first abnormal sound detector 23 determines that no abnormal sound has occurred, but also when the first abnormal sound detector 23 determines that an abnormal sound has occurred.

[0024] If the first abnormal sound detector 23 determines that no abnormal sound is occurring, the second abnormal sound detector 26 determines whether or not an abnormal sound is occurring based on the above-mentioned measurement spectrogram. For example, the second abnormal sound detector 26 may determine whether or not an abnormal sound is occurring by comparing the peak frequency of a pre-stored reference spectrogram with the peak frequency of the measurement spectrogram. The peak frequency of each measurement spectrogram is compared with the peak frequency of the corresponding reference spectrogram. Each measurement spectrogram is associated with a corresponding sound sensor 11-14.

[0025] The second abnormal sound detector 26 acquires each reference spectrogram stored in the sound database 15 (described later) via the communication unit 21. The peak frequency of each reference spectrogram is compared with the peak frequency of the corresponding measured spectrogram. More specifically, as shown in FIG. 5(a), it may be determined that an abnormal sound is occurring when the absolute value of the peak frequency difference Δf between the peak frequency f1 of the measured spectrogram and the peak frequency f0 of the corresponding reference spectrogram is equal to or greater than a predetermined second threshold. It may be determined that no abnormal sound is occurring when the absolute value of this peak frequency difference Δf is smaller than the second threshold. The peak frequency is the frequency at which a sound pressure peak value occurs in the spectrogram.

[0026] As described above, in this embodiment, four measurement spectrograms are created. The second abnormal sound detector 26 compares the peak frequency of each measurement spectrogram with the peak frequency of the corresponding reference spectrogram. If the absolute value of the peak frequency difference Δf for at least one measurement spectrogram is equal to or greater than the second threshold value described above, the second abnormal sound detector 26 may determine that an abnormal sound is occurring.

[0027] When second abnormal sound detector 26 determines that an abnormal sound is occurring, second time difference calculator 27 calculates the time difference between the times at which the sound pressure peak values of the respective measurement spectrograms occurred as the measured time difference. The measured time difference calculated by second time difference calculator 27 is a value used by position calculator 28, which will be described later, in the same way as the measured time difference calculated by first time difference calculator 24 described above.

[0028] For example, similar to the first time difference calculation unit 24, the second time difference calculation unit 27 may calculate the difference between the time when a sound pressure peak value in the measurement spectrogram corresponding to the first sound sensor 11 occurs and the time when a sound pressure peak value in the measurement spectrogram corresponding to the other sound sensors 12 to 14 occurs. The sound pressure peak values in the measurement spectrograms corresponding to the other sound sensors 12 to 14 may be the sound pressure peak value for the peak frequency f1 obtained from the measurement spectrogram corresponding to the first sound sensor 11. In this embodiment, as shown in FIG. 5(b), the second time difference calculation unit 27 calculates the measurement time difference Δt between the time t2 when the sound pressure peak value (sound pressure peak value for the peak frequency f1) corresponding to the second sound sensor 12 occurs and the time t1 when the sound pressure peak value (sound pressure peak value for the peak frequency f1) corresponding to the first sound sensor 11 occurs. 21i5(b) shows a representative example of the time characteristic of the peak frequency f1 of the first sound sensor 11 (sound pressure measurement data P1 having the peak frequency f1 as a component) and the time characteristic of the peak frequency f1 of the second sound sensor 12 (sound pressure measurement data P2 having the peak frequency f1 as a component). Similarly, the second time difference calculation unit 27 calculates the measurement time difference Δt between the time t3 when the sound pressure peak value (sound pressure peak value for the peak frequency f1) corresponding to the third sound sensor 13 occurred and the time t1 when the sound pressure peak value (sound pressure peak value for the peak frequency f1) corresponding to the first sound sensor 11 occurred. 31i The second time difference calculation unit 27 calculates the measurement time difference Δt between the time t4 when the sound pressure peak value (sound pressure peak value for the peak frequency f1) corresponding to the fourth sound sensor 14 occurred and the time t1 when the sound pressure peak value (sound pressure peak value for the peak frequency f1) corresponding to the first sound sensor 11 occurred. 41i Calculate.

[0029] The second time difference calculation unit 27 may create a time characteristic of the peak frequency of the measurement spectrogram as shown in Fig. 5(b) and calculate the time when the sound pressure peak value occurred. However, the second time difference calculation unit 27 may also calculate the time when the sound pressure peak value occurred from the above-mentioned measurement spectrogram.

[0030] Based on the above-mentioned measured time difference, the position calculation unit 28 calculates the position where the sound has occurred relative to the reference point SP on the top surface of the car 1 as the measured occurrence position. The measured occurrence position calculated by the position calculation unit 28 is the position where the sound has occurred when viewed from above. When the above-mentioned first abnormal sound detector 23 determines that an abnormal sound has occurred, the position calculation unit 28 uses the measured time difference calculated by the first time difference calculator 24. When the above-mentioned second abnormal sound detector 26 determines that an abnormal sound has occurred, the position calculation unit 28 uses the measured time difference calculated by the second time difference calculator 27.

[0031] The position calculation unit 28 may calculate the measurement generation position as two-dimensional plane coordinates at a height position corresponding to the top surface of the car 1. For example, the measurement generation position calculated by the position calculation unit 28 may be determined by the direction with respect to the reference point SP described above and the distance from the reference point SP. For example, as shown in FIG. 6, the measurement generation position may be expressed by the angle and radius in a circular coordinate system (or polar coordinate system) centered on the reference point SP when viewed from above. The angle may be determined based on a reference line SL that extends linearly to the right from the reference point SP, as will be described later. In this case, the reference line SL corresponds to an angle of 0°.

[0032] In this embodiment, as shown in FIG. 6, the angle is set so that the angle progresses counterclockwise from a reference line SL that extends straight to the right from the reference point SP. The reference point SP may be a point defined by the four sound sensors 11 to 14. The reference point SP may be the center point of the four sound sensors 11 to 14 when viewed from above. However, the reference point SP may be set at the center point on the top surface of the car 1, or may be set at any point on the top surface of the car 1. For example, the four sound sensors 11 to 14 may be positioned at a position offset from the reference point SP.

[0033] For example, the position calculation unit 28 may calculate the measurement generation position using a reference time difference. The reference time difference is the time difference between the time when a sound generated at a predetermined generation position relative to the reference point SP reaches each of the sound sensors 11 to 14.

[0034] As shown in FIG. 6, the reference time difference can be calculated as the time difference between when a virtual sound source is placed at a predetermined angle on circles CA and CB having a predetermined radius and when the sound from the virtual sound source reaches each of the sound sensors 11 to 14. The virtual sound source may be placed at a predetermined angle increment from 0°. FIG. 7(a) shows the reference time difference when the virtual sound source is placed at 10° increments. The reference time difference may be set at angle increments smaller than 10° or larger than 10°. Each reference time difference is associated with an angle and the radius of the circle on which the virtual sound source is placed. Each reference time difference may be determined theoretically or experimentally.

[0035] In this embodiment, the position calculation unit 28 uses the reference time difference when a virtual sound source is placed on a plurality of circumferences CA and CB. In this embodiment, the position calculation unit 28 uses the reference time difference ΔtA when a virtual sound source is placed on a circumference CA. 21j , ΔtA 31j , ΔtA 41j and the reference time difference ΔtB when a virtual sound source is placed on the circumference CB 21j , ΔtB 31j , ΔtB 41j The number of circumferences on which the virtual sound sources are arranged is not limited to two, but may be three or more, and is arbitrary.

[0036] As shown in Figure 6, the radius RA of the circle CA is different from the radius RB of the circle CB. 21j , ΔtA 31j , ΔtA 41j is the reference time difference when a virtual sound source is placed on a circle CA with a radius RA. 21j , ΔtB 31j , ΔtB 41j is the reference time difference when a virtual sound source is placed on the circumference CB of radius RB. 21j , ΔtA 31j , ΔtA 41j and the reference time difference ΔtB 21j , ΔtB 31j , ΔtB 41jis stored in the time difference database 16. The reference time difference stored in the time difference database 16 is used by the position calculation unit 28.

[0037] Figure 7(a) shows an example of the reference time difference. 21j is the reference time difference between the first sound sensor 11 and the second sound sensor 12 when a virtual sound source is placed on the circumference CA. Similarly, ΔtA 31j is the reference time difference between the first sound sensor 11 and the third sound sensor 13, and ΔtA 41j is the reference time difference between the first sound sensor 11 and the fourth sound sensor 14. 21j is the reference time difference between the first sound sensor 11 and the second sound sensor 12 when a virtual sound source is placed on the circumference CB. Similarly, ΔtB 31j is the reference time difference between the first sound sensor 11 and the third sound sensor 13, and ΔtB 41j is the reference time difference between the first sound sensor 11 and the fourth sound sensor 14.

[0038] The position calculation unit 28 calculates the square root of the sum of squares of the difference between the reference time difference and the measurement time difference. The position calculation unit 28 may calculate the square root of the sum of squares for each of the circumferences CA and CB. More specifically, the position calculation unit 28 calculates the square root of the sum of squares of the reference time difference ΔtA 21j , ΔtA 31j , ΔtA 41j and measurement time difference Δt 21i , Δt 31i , Δt 41i IA, which indicates the square root sum of squares (SRSS) of the difference between

number

[0039] Similarly, the position calculation unit 28 calculates the reference time difference ΔtB 21j , ΔtB 31j , ΔtB 41j and measurement time difference Δt 21i , Δt 31i , Δt 41i IB, which indicates the square root of the sum of squares (SRSS) of the difference between

number

[0040] The point where the IA for each angle obtained by Equation (1) and the IB for each angle obtained by Equation (2) are the minimum is the measurement occurrence position. An example calculated in this manner is shown in FIG. 7(b). The horizontal axis of FIG. 7(b) represents angle, and the vertical axis represents IA and IB. As can be seen from FIG. 7(b), there is an angle where IA is minimum and there is an angle where IB is minimum. The angle and radius where IA and IB are minimum may be the measurement occurrence position. In the example shown in FIG. 7(b), IB is minimum around an angle of 170°, and the position defined by this angle and radius RB is the measurement occurrence position. The device identification unit 29, which will be described later, may determine that an abnormal sound generating device is present at or near the measurement occurrence position. In the example shown in FIG. 7(b), IA is minimum around an angle of 220°, but the minimum value of IA is greater than the minimum value of IB. Therefore, it may be determined that no abnormal sound generating device is present at the position defined by radius RA around an angle of 220°. However, this location may be subject to further diagnostic processing as a location where an abnormal sound-generating device may be present.

[0041] The equipment identifying unit 29 identifies the abnormal sound generating equipment that generated the abnormal sound based on the measurement generation position and the equipment layout data. The equipment layout data used by the equipment identifying unit 29 is equipment layout data at the elevation position (height) of the car 1 at which the sound pressure peak value of the above-mentioned sound pressure measurement data or the sound pressure peak value of the above-mentioned measurement spectrogram occurred. The equipment layout data may be stored in the equipment layout database 17 described later. The equipment layout data may be stored in advance in the equipment layout database 17 for each elevation position of the car 1. The equipment identifying unit 29 identifies one piece of equipment layout data at the elevation position of the car 1 at which the sound pressure peak value occurred from the multiple pieces of equipment layout data stored in the equipment layout database 17. The equipment identifying unit 29 identifies the elevation position of the car 1 at which the sound pressure peak value occurred based on the elevation position data of the car 1 acquired by the car position acquisition unit 30 described later.

[0042] A control device (not shown) that controls the lifting and lowering operation of the car 1 has lifting and lowering position data that indicates the relationship between the lifting and lowering position of the car 1 and time. Using this lifting and lowering position data, the lifting and lowering position of the car 1 at the time when the sound pressure peak value occurs can be identified. In this case, since multiple sound pressure peak values exist corresponding to each of the sound sensors 11 to 14, the lifting and lowering position of the car 1 may be identified using the average value of the times at each sound pressure peak value, or the lifting and lowering position of the car 1 may be identified using the time at which the largest sound pressure peak value occurs. The lifting and lowering position of the car 1 may be acquired by a car position acquisition unit 30, which will be described later. The equipment identification unit 29 acquires, from the equipment layout database 17, equipment layout data for the lifting and lowering position closest to the lifting and lowering position of the car 1 at the time when the sound pressure peak value occurred, from the equipment layout database 17, which will be described later, of multiple equipment layout data stored in the equipment layout database 17.

[0043] The equipment layout data may have, for example, data structures as shown in FIGS. 8 to 10. FIGS. 8 to 10 show schematic examples of equipment layout data for three elevation positions of the car 1. For example, FIG. 8(a) shows an example of equipment layout in the upper part of the hoistway 2, and FIG. 8(b) is an example of the equipment layout data. As shown in FIG. 8(a), a first wall-mounted device 7A and a second wall-mounted device 7B are installed on the wall surface 2a at the upper part of the hoistway 2. FIG. 9(a) shows an example of equipment layout in the central part of the hoistway 2, and FIG. 9(b) is the equipment layout data. As shown in FIG. 9(a), a third wall-mounted device 7C and a fourth wall-mounted device 7D are installed on the wall surface 2a at the central part of the hoistway 2. FIG. 10(a) shows an example of equipment layout in the lower part of the hoistway 2, and FIG. 10(b) is the equipment layout data. 10(a), a fifth wall surface device 7E, a sixth wall surface device 7F, and a seventh wall surface device 7G are installed on the wall surface 2a at the bottom of the elevator shaft 2. In this way, an angle and a radius relative to the reference point SP are associated with each of the car devices 6A to 6C and each of the wall surface devices 7A to 7G.

[0044] The equipment identifying unit 29 identifies the equipment located closest to the measurement generation position as the equipment generating the abnormal sound among the car equipment 6A to 6C installed on the upper surface of the car 1 and the wall equipment 7A to 7G installed on the wall surface 2a of the elevator shaft 2. For example, as shown in Fig. 7(b), if IB is at its minimum value near an angle of 170° and a sound pressure peak value occurs at the elevation position of the car 1 corresponding to Fig. 10(a), the seventh wall equipment 7G may be identified as the equipment generating the abnormal sound.

[0045] As described above, the equipment layout data includes car devices 6A-6C provided on the upper surface of the car 1 and wall devices 7A-7E provided in the elevator shaft 2. The car devices 6A-6C are devices located on the upper surface of the car 1 that may be abnormal sound generating devices. In addition to the car devices 6A-6C, the guide rollers 4A, 4B and sheaves 5A, 5B described above may also be included in the equipment layout data as devices located on the upper surface of the car 1 that may be abnormal sound generating devices. The wall devices 7A-7E are devices located on the wall surface 2a of the elevator shaft 2 that may be abnormal sound generating devices. Examples of the wall devices 7A-7E include wall devices located in the lifting range on the upper surface of the car 1 that may be abnormal sounds. Examples of such wall devices include, but are not limited to, the guide rails 3A, 3B, control panels, and landing doors (not shown) located on each floor. The abnormal sound diagnostic system 10 according to this embodiment can identify the device generating the abnormal sound from among these various devices.

[0046] The car position acquisition unit 30 acquires the lift position data of the car 1 from a control device that controls the lift operation of the car 1. The acquired lift position data of the car 1 is used by the device identification unit 29 described above.

[0047] The device replacement determination unit 31 determines whether the abnormal sound-generating device identified by the device identification unit 29 should be replaced. The device replacement determination unit 31 may determine whether replacement is necessary based on the sound pressure level of the abnormal sound generated by the abnormal sound-generating device or the magnitude of the shift in the peak frequency of the abnormal sound. When the first abnormal sound detection unit 23 determines that an abnormal sound is being generated, the device replacement determination unit 31 may determine that the abnormal sound-generating device should be replaced if the sound pressure peak value difference ΔP is equal to or greater than a predetermined third threshold. The third threshold may be greater than the first threshold. Alternatively, when the second abnormal sound detection unit 26 determines that an abnormal sound is being generated, the device replacement determination unit 31 may determine that the abnormal sound-generating device should be replaced if the peak frequency difference Δf is equal to or greater than a predetermined fourth threshold. The fourth threshold may be greater than the second threshold.

[0048] When it is determined that an abnormal sound is occurring and that the abnormal sound-generating device should not be replaced, the information recording unit 32 may record information about the abnormal sound-generating device identified by the above-mentioned device identifying unit 29 and the replacement determination result for the abnormal sound-generating device determined by the above-mentioned device replacement determination unit 31. The information about the abnormal sound-generating device and the replacement determination result may be recorded in a database (not shown) outside the diagnostic device 20, or may be recorded in a memory (not shown) within the diagnostic device 20. Furthermore, when it is determined by the first abnormal sound detector 23 and the second abnormal sound detector 26 that no abnormal sound is occurring, the information recording unit 32 may record the sound pressure measurement data created by the above-mentioned sound pressure data creation unit 22 and the measurement spectrograms created by the above-mentioned spectrogram creation unit 25 in the above-mentioned sound database 15.

[0049] The sound database 15 stores the above-mentioned multiple sound pressure reference data. The sound pressure reference data may be sound pressure data under normal conditions. For example, the sound pressure reference data may be sound pressure data for a pattern in which the car 1 ascends and descends from the lowest floor to the top floor without stopping along the way. The multiple sound pressure reference data stored in the sound database 15 correspond to each sound pressure measurement data. Furthermore, the sound database 15 may store multiple sound pressure reference data so as to correspond to any ascending and descending pattern of the car 1. In this case, the sound pressure reference data for the ascending and descending pattern corresponding to the ascending and descending pattern of the car 1 at the time of diagnosis may be used by the first abnormal sound detection unit 23. The multiple sound pressure reference data stored in the sound database 15 may correspond to multiple ascending and descending patterns and may also correspond to each of the sound sensors 11 to 14.

[0050] Furthermore, the sound database 15 may store, as sound pressure reference data, each piece of sound pressure measurement data that was created when it was determined that no abnormal sound had occurred up until the previous diagnosis. This sound pressure reference data may be used for comparison with the sound pressure measurement data by the first abnormal sound detector 23. In this case, it is possible to check changes in the sound pressure data since the previous diagnosis, for example, whether the sound pressure is on the rise.

[0051] The sound database 15 also stores the above-mentioned multiple reference spectrograms. The reference spectrogram may be a spectrogram under normal conditions. For example, the reference spectrogram may be a spectrogram of a pattern in which the car 1 ascends and descends from the lowest floor to the top floor without stopping along the way. The multiple reference spectrograms stored in the sound database 15 correspond to the respective measured spectrograms. Furthermore, the sound database 15 may store multiple reference spectrograms to correspond to any ascending and descending pattern of the car 1. In this case, the second abnormal sound detector 26 may use a reference spectrogram of an ascending and descending pattern corresponding to the ascending and descending pattern of the car 1 at the time of diagnosis. The multiple reference spectrograms stored in the sound database 15 may correspond to multiple ascending and descending patterns and may correspond to each of the sound sensors 11 to 14.

[0052] Furthermore, the sound database 15 may store, as reference spectrograms, each measurement spectrogram that was created when it was determined that no abnormal sound had occurred up until the previous diagnosis. These reference spectrograms may be used for comparison with the measurement spectrograms generated by the second abnormal sound detector 26. In this case, it is possible to check changes in the spectrogram since the previous diagnosis, such as whether there is a tendency for frequencies to increase.

[0053] The time difference database 16 stores the above-mentioned multiple reference time differences ΔtA 21j , ΔtA 31j , ΔtA 41j and the reference time difference ΔtB 21j , ΔtB 31j , ΔtB 41j I remember.

[0054] The equipment layout database 17 stores the above-mentioned multiple equipment layout data. The equipment layout database 17 may store equipment layout data for multiple lifting positions. The equipment layout data stored in the equipment layout database 17 may be, for example, the equipment layout data shown in Figures 8(b), 9(b), and 10(b). The number of equipment layout data stored in the equipment layout database 17 is not limited to three, and multiple equipment layout data may be stored in the equipment layout database 17 by dividing it into lifting ranges.

[0055] The display unit 18 may display the abnormal sound generating device identified by the above-mentioned device identifying unit 29. The display unit 18 may acquire information about the abnormal sound generating device from the device identifying unit 29 via the above-mentioned communication unit 21. The display unit 18 may display the result of the determination made by the above-mentioned device replacement determination unit 31 to replace the abnormal sound generating device. When the determination result that the abnormal sound generating device should be replaced is displayed, the replacement work for the abnormal sound generating device may be carried out.

[0056] The operation of this embodiment configured as described above, that is, the method of diagnosing abnormal sounds in an elevator, will be described with reference to FIG.

[0057] First, in step S1, the elevator car 1 is raised and lowered, and sound is measured by each of the sound sensors 11 to 14. The elevator car 1 may have any raising and lowering pattern as long as it corresponds to the reference sound pressure data recorded in the sound database 15. For example, the elevator car 1 may be raised and lowered from the lowest floor to the top floor without stopping along the way.

[0058] After step S1, in step S2, the sound pressure data creating unit 22 creates sound pressure measurement data from the sounds measured by each of the sound sensors 11 to 14. In this embodiment, four pieces of sound pressure measurement data are created.

[0059] After step S2, in step S3, the first abnormal sound detector 23 determines whether or not an abnormal sound has occurred based on each piece of sound pressure measurement data. More specifically, the first abnormal sound detector 23 acquires sound pressure reference data corresponding to the ascent and descent pattern of the car 1 from the sound database 15. The first abnormal sound detector 23 then compares the sound pressure peak values of the corresponding sound pressure reference data with the sound pressure peak values of the sound pressure measurement data to determine whether or not an abnormal sound has occurred (see FIG. 4(a)). In this embodiment, it may be determined that an abnormal sound has occurred if the sound pressure peak value difference ΔP for at least one piece of sound pressure measurement data is equal to or greater than the above-mentioned first threshold value.

[0060] If it is determined in step S3 that an abnormal sound has occurred, in step S4, the first time difference calculation unit 24 calculates the time difference between the times when the sound pressure peak values of the respective sound pressure measurement data occurred as the measurement time difference (see FIG. 4(b)). In this embodiment, the above-mentioned measurement time difference Δt 21i , Δt 31i , Δt 41i is calculated.

[0061] If it is determined in step S3 that no abnormal sound has occurred, in step S5, spectrogram creation unit 25 creates a measurement spectrogram from each of the above-mentioned sound pressure measurement data. In this embodiment, four measurement spectrograms are created.

[0062] After step S5, in step S6, the second abnormal sound detector 26 determines whether or not an abnormal sound is occurring, based on each measured spectrogram. More specifically, the second abnormal sound detector 26 acquires a reference spectrogram corresponding to the ascent / descent pattern of the car 1 from the sound database 15. The second abnormal sound detector 26 then compares the peak frequency of the reference spectrogram with the peak frequency of the measured spectrogram to determine whether or not an abnormal sound is occurring (see FIG. 5(a)). In this embodiment, it may be determined that an abnormal sound is occurring when the absolute value of the peak frequency difference Δf for at least one measured spectrogram is equal to or greater than the above-mentioned second threshold value.

[0063] If it is determined in step S6 that an abnormal sound has occurred, in step S7, the second time difference calculation unit 27 calculates the time difference between the times at which the sound pressure peak values of the respective measurement spectrograms occurred as the measurement time difference (see FIG. 5(b)). In this embodiment, the above-mentioned measurement time difference Δt 21i , Δt 31i , Δt 41i is calculated.

[0064] If it is determined in step S6 that no abnormal sound has occurred, the process proceeds to step S12, which will be described later.

[0065] After step S4 or step S7, in step S8, the position calculation unit 28 calculates the sound generation position relative to the reference point SP defined by each of the sound sensors 11 to 14 as the measurement generation position based on the measurement time difference. If it is determined in step S3 that an abnormal sound has occurred, the position calculation unit 28 uses the measurement time difference calculated in step S4. If it is determined in step S6 that an abnormal sound has occurred, the position calculation unit 28 uses the measurement time difference calculated in step S7. The position calculation unit 28 applies the measurement time difference Δt to the above-mentioned equation (1). 21i , Δt 31i , Δt 41i and the reference time difference ΔtA 21j , ΔtA 31j, ΔtA 41j In addition, the position calculation unit 28 calculates IA for each angle by substituting the measurement time difference Δt 21i , Δt 31i , Δt 41i and the reference time difference ΔtB 21j , ΔtB 31j , ΔtB 41j is substituted for each angle to calculate IB for each angle. The measurement occurrence position is calculated as the position where the value of IA and IB is smallest.

[0066] After step S8, in step S9, the equipment identifying unit 29 identifies the abnormal sound generating equipment that has generated the abnormal sound based on the measurement occurrence position and the equipment layout data. More specifically, the elevator position of the car 1 is acquired by the car position acquisition unit 30 described above. Next, the elevator position of the car 1 at the time the sound pressure peak value occurred is identified, and the equipment layout data for this elevator position is acquired from the equipment layout database 17. After that, the equipment located closest to the measurement occurrence position is identified from the equipment layout database 17 as the abnormal sound generating equipment.

[0067] After step S9, in step S10, the device replacement determiner 31 determines whether the abnormal sound generating device should be replaced. If it is determined in step S3 that an abnormal sound is occurring, it may be determined that the abnormal sound generating device should be replaced if the above-mentioned peak sound pressure value difference ΔP is equal to or greater than the above-mentioned third threshold. If it is determined in step S6 that an abnormal sound is occurring, it may be determined that the abnormal sound generating device should be replaced if the above-mentioned peak frequency difference Δf is equal to or greater than the above-mentioned fourth threshold.

[0068] If it is determined in step S10 that the device producing the abnormal sound should be replaced, then in step S11 the display unit 18 displays information about the device producing the abnormal sound and the result of the determination to replace the device producing the abnormal sound. After viewing this display, the operator may replace the device producing the abnormal sound. After step S11, the abnormal sound diagnosis method according to this embodiment may end.

[0069] If it is determined in step S10 that the abnormal sound generating device does not need to be replaced, then in step S12, the information recording unit 32 records the information. More specifically, if it is determined in step S3 or step S6 above that an abnormal sound is occurring, the information recording unit 32 records information about the abnormal sound generating device and the result of the determination to replace the abnormal sound generating device in a database (not shown) or the like. If it is determined in step S6 that no abnormal sound is occurring, the information recording unit 32 records the above-mentioned sound pressure measurement data and each measurement spectrogram in the sound database 15. After step S12, the abnormal sound diagnosis method according to this embodiment may end.

[0070] As described above, according to this embodiment, when it is determined that an abnormal sound is occurring based on the sound pressure measurement data created by measurements from each of the sound sensors 11-14, the time difference between the times when the sound pressure peak values of each sound pressure measurement data occurred is calculated as the measurement time difference. Based on this measurement time difference, the location where the abnormal sound occurred relative to the reference point SP on the top surface of the car 1 is calculated as the measurement occurrence location, and the abnormal sound-generating device that generated the abnormal sound is identified based on this measurement occurrence location and the device layout data for the elevation position of the car 1 where the sound pressure peak value occurred. This allows the abnormal sound-generating device to be identified with a simple configuration. Therefore, abnormal sounds in elevators can be diagnosed inexpensively with a simple configuration. Furthermore, because the location where the abnormal sound occurred can be identified, it is possible to easily narrow down candidates for the abnormal sound-generating device, making it easier to identify the abnormal sound-generating device and improving reliability.

[0071] Furthermore, according to this embodiment, the measurement source position is determined by the direction relative to a reference point and the distance from the reference point. This allows the location where the abnormality occurred to be identified as coordinates. This makes it easy to narrow down the candidates for the equipment generating the abnormal sound, making it easier to identify the equipment generating the abnormal sound and improving reliability.

[0072] Furthermore, according to this embodiment, the position calculation unit 28 calculates the measurement occurrence position, which is the position at which the abnormal sound occurs, using a reference time difference, which is the time difference between the times at which sound generated at a certain occurrence position relative to the reference point SP reaches each of the sound sensors 11-14. This makes it possible to easily calculate the measurement occurrence position, and the configuration of the position calculation unit 28 can be simplified and configured at low cost. In particular, according to this embodiment, the position calculation unit 28 calculates the measurement occurrence position by calculating the square root of the sum of the squares of the difference between the reference time difference and the measurement time difference. This makes it possible to easily calculate the measurement occurrence position.

[0073] Furthermore, according to this embodiment, the position calculation unit calculates the square root of the sum of squares for each of the circumferences CA and CB using the reference time differences when virtual sound sources are placed on multiple circumferences CA and CB relative to the reference point SP. This allows the position calculation unit 28 to identify the radial position relative to the reference point SP as the position of the abnormal sound generating device. This makes it easy to calculate the measured generation position.

[0074] Furthermore, according to this embodiment, equipment layout data for each elevation position of the car 1 is stored in the equipment layout database 17. The equipment identifying unit 29 identifies one piece of equipment layout data for the elevation position of the car 1 at which a sound pressure peak value has occurred from the multiple pieces of equipment layout data stored in the equipment layout database 17. This makes it possible to identify the equipment generating the abnormal sound using the equipment layout data for the elevation position of the car 1 at which the abnormal sound has occurred. This allows the configuration of the equipment identifying unit 29 to be simplified and inexpensively constructed.

[0075] Furthermore, according to this embodiment, first abnormal sound detector 23 determines whether or not an abnormal sound has occurred by comparing the sound pressure peak values of pre-stored sound pressure reference data with the sound pressure peak values of the sound pressure measurement data. This makes it possible to determine whether or not an abnormal sound has occurred based on the sound pressure peak values of the sound pressure measurement data. This makes it possible to easily determine whether or not an abnormal sound has occurred, and allows the configuration of first abnormal sound detector 23 to be simplified and inexpensively constructed.

[0076] Furthermore, according to this embodiment, if the first abnormal sound detector 23 determines that no abnormal sound is occurring, the second abnormal sound detector 26 determines whether or not an abnormal sound is occurring based on the measurement spectrograms obtained from the respective sound pressure measurement data. If the second abnormal sound detector 26 determines that an abnormal sound is occurring, the time difference between the times at which the sound pressure peak values of the respective measurement spectrograms occurred is calculated as the measurement time difference. As a result, even if it is determined that no abnormal sound is occurring based on the sound pressure measurement data, if it is determined that an abnormal sound is occurring based on the measurement spectrogram, the measurement time difference can be calculated. The above-mentioned measurement occurrence position can be calculated based on the calculated measurement time difference, and the device generating the abnormal sound can be identified. Therefore, the second abnormal sound detector 26 can determine the presence or absence of an abnormal sound from a perspective different from that of the first abnormal sound detector 23, thereby improving the accuracy of determining the presence or absence of an abnormal sound.

[0077] Furthermore, according to this embodiment, second abnormal sound detector 26 determines whether or not an abnormal sound is occurring by comparing the peak frequency corresponding to the sound pressure peak value of a pre-stored reference spectrogram with the peak frequency corresponding to the sound pressure peak value of a measurement spectrogram. This makes it possible to determine whether or not an abnormal sound is occurring based on the sound pressure peak value of the measurement spectrogram. Therefore, it is possible to determine whether or not an abnormal sound is occurring from the perspective of whether or not there is a frequency deviation.

[0078] Furthermore, according to this embodiment, equipment replacement determination unit 31 determines whether or not the abnormal sound generating equipment identified by equipment identification unit 29 should be replaced. This allows the operator to easily recognize whether or not the abnormal sound generating equipment should be replaced. Therefore, if it is determined that the abnormal sound generating equipment should be replaced, the abnormal sound generating equipment can be quickly replaced, thereby improving the safety and reliability of the elevator system.

[0079] In the above-described embodiment, an example has been described in which abnormal sound diagnosis is performed using four sound sensors 11 to 14. However, the present embodiment is not limited to this. Abnormal sound diagnosis may be performed using any number of sound sensors greater than or equal to two. In this case, the above-described formula (1) is modified to a formula according to the number of sound sensors.

[0080] (Second embodiment) Next, an elevator abnormal sound diagnostic system and abnormal sound diagnostic method according to a second embodiment will be described with reference to FIG.

[0081] The second embodiment shown in Figure 12 differs mainly in that the orientation of the sound sensor is changeable, and other configurations are substantially the same as those of the first embodiment shown in Figures 1 to 11. In Figure 12, the same parts as those of the first embodiment shown in Figures 1 to 11 are given the same reference numerals, and detailed explanations thereof will be omitted.

[0082] 12, the abnormal sound diagnostic system 10 according to this embodiment may further include a sensor driving unit 19 that can change the orientation of the sound sensors 11 to 14, and a sensor driving control unit 33 that controls the sensor driving unit 19. Each of the sound sensors 11 to 14 according to this embodiment has directionality.

[0083] The sensor driving unit 19 is fixed to the upper surface of the car 1. Four sensor driving units 19 are fixed to the upper surface of the car 1, and change the orientation of the corresponding sound sensors 11 to 14. For example, the sensor driving unit 19 may be fixed to an upper beam located on the upper surface of the car 1 using magnetic force. The sound sensors 11 to 14 may be fixed to the sensor driving unit 19. For example, the sensor driving unit 19 may be configured as a three-axis swivel device. In this case, the orientation of the sound sensors 11 to 14 can be changed to any direction. The sensor driving unit 19 is driven in accordance with a control signal transmitted from a sensor driving control unit 33. The sensor driving control unit 33 may be configured within the diagnostic device 20.

[0084] As described above, according to this embodiment, the orientation of the sound sensors 11 to 14 can be changed by the sensor driving unit 19. This allows the sound sensors 11 to 14 to be oriented toward equipment from which abnormal sound is expected to be generated. This improves the accuracy of sound measurement and the accuracy of abnormal sound diagnosis. Furthermore, the orientation of each sound sensor 11 to 14 can also be oriented in a different direction from each other. In this case, sounds from multiple directions can be measured with high accuracy, improving the accuracy of abnormal sound diagnosis.

[0085] According to the embodiment described above, abnormal sounds in elevators can be diagnosed inexpensively with a simple configuration.

[0086] Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included within the scope and spirit of the invention, and are also included in the inventions and their equivalents as defined in the claims. [Explanation of symbols]

[0087] 1: car, 10: abnormal sound diagnosis system, 11: first sound sensor, 12: second sound sensor, 13: third sound sensor, 14: fourth sound sensor, 19: sensor driving unit, 20: diagnosis device, 23: first abnormal sound detection unit, 24: first time difference calculation unit, 26: second abnormal sound detection unit, 27: second time difference calculation unit, 28: position calculation unit, 29: equipment identification unit, 31: equipment replacement determination unit, 33: sensor driving control unit, SP: reference point

Claims

1. two or more sound sensors provided on the upper surface of the car to measure sounds generated while the car is ascending or descending; a first abnormal sound detection unit that determines whether or not an abnormal sound is occurring based on sound pressure measurement data created by measurement by each of the sound sensors; a first time difference calculation unit that, when it is determined by the first abnormal sound determination unit that an abnormal sound is occurring, calculates, as a measurement time difference, a time difference between times when sound pressure peak values of each of the sound pressure measurement data occurred; and a position calculation unit that calculates, as a measurement occurrence position, a position where the abnormal sound occurs relative to a reference point on the top surface of the elevator car based on the measurement time difference; an equipment identifying unit that identifies the abnormal sound generating equipment that generated the abnormal sound based on the measurement generation position and equipment layout data at the elevator position of the car where the sound pressure peak value occurred; An elevator abnormal sound diagnosis system equipped with the above.

2. The measurement generation position is defined by a direction relative to the reference point and a distance from the reference point. The abnormal sound diagnosis system for an elevator according to claim 1.

3. The position calculation unit calculates the measured generation position using a reference time difference, which is a time difference between the times when a sound generated at a generation position relative to the reference point reaches each of the sound sensors. The abnormal sound diagnosis system for an elevator according to claim 1 or 2.

4. the position calculation unit calculates the measurement occurrence position by calculating the square root of the sum of squares of the difference between the reference time difference and the measurement time difference; The abnormal sound diagnosis system for an elevator according to claim 3.

5. The abnormal sound diagnosis system for an elevator according to claim 4, wherein the position calculation unit calculates the square root of the sum of squares for each circumference using a reference time difference when virtual sound sources are arranged on a plurality of circumferences around the reference point.

6. Further provided is an equipment layout database storing equipment layout data for each lift position of the elevator car, the equipment identifying unit identifies one of the equipment layout data at a lifting position of the elevator car where the sound pressure peak value occurs from the plurality of equipment layout data stored in the equipment layout database, The abnormal sound diagnosis system for an elevator according to claim 1 or 2.

7. the first abnormal sound detector determines whether an abnormal sound is occurring by comparing a sound pressure peak value of pre-stored sound pressure reference data with the sound pressure peak value of the sound pressure measurement data. The abnormal sound diagnosis system for an elevator according to claim 1 or 2.

8. a second abnormal sound detector that, when it is determined by the first abnormal sound detector that no abnormal sound is occurring, determines whether or not an abnormal sound is occurring based on a measurement spectrogram obtained from each of the sound pressure measurement data; and a second time difference calculation unit that, when it is determined by the second abnormal sound detection unit that an abnormal sound is occurring, calculates a time difference between times at which sound pressure peak values of the respective measurement spectrograms occur as the measurement time difference, The abnormal sound diagnosis system for an elevator according to claim 1 or 2.

9. the second abnormal sound detector determines whether or not an abnormal sound is occurring by comparing a peak frequency of a pre-stored reference spectrogram with a peak frequency of the measurement spectrogram. The abnormal sound diagnosis system for an elevator according to claim 8.

10. The system further includes a device replacement determination unit that determines whether the abnormal sound generating device identified by the device identification unit should be replaced. The abnormal sound diagnosis system for an elevator according to claim 1 or 2.

11. a sensor driving unit capable of changing the orientation of the sound sensor; A sensor drive control unit that controls the sensor drive unit, The abnormal sound diagnosis system for an elevator according to claim 1 or 2.

12. measuring sounds generated during the elevator car's ascent and descent by two or more sound sensors provided on an upper surface of the elevator car; A step of determining whether or not an abnormal sound is occurring based on sound pressure measurement data created by measurement by each of the sound sensors; a step of calculating a time difference between the times when the peak sound pressure values of the respective sound pressure measurement data occurred as a measurement time difference when it is determined that an abnormal sound has occurred; calculating a position where the abnormal sound occurs relative to a reference point on the top surface of the car as a measurement occurrence position based on the measurement time difference; Identifying the abnormal sound generating device that generated the abnormal sound based on the measurement generation position and device layout data at the elevator position where the sound pressure peak value occurred; The abnormal sound diagnosis method for an elevator is provided with:

Citation Information

Patent Citations

  • Elevator abnormal state detection device and elevator abnormal state detection method

    JP2022025828A

  • Abnormal sound investigation system, abnormal sound investigation method, and elevator system

    JP2023046925A

  • Acoustic measurement system and parameter generation device

    WO2019123633A1

  • Elevator device

    WO2020245969A1

  • Elevator inspection assistance system

    JP7006864B2