JP7596570B1 - Elevator abnormal sound diagnosis system and abnormal sound diagnosis method - Google Patents

Abstract

A simple and inexpensive elevator abnormal sound diagnosis system is provided.
[Solution] In an elevator abnormal sound diagnosis system according to an embodiment, when it is determined that an abnormal sound is occurring based on sound pressure measurement data created by measurement of each sound sensor, the time difference between the times when the sound pressure peak value of each sound pressure measurement data occurred is calculated as a measurement time difference. Based on this measurement time difference, the position where the abnormal sound occurred relative to a reference point on the top surface of the car is calculated as a measurement occurrence position, and the abnormal sound generating device that generated the abnormal sound is identified based on this measurement occurrence position and device layout data at the elevator position where the sound pressure peak value occurred.
[Selected figure] Figure 3

Description

The embodiment relates to an elevator abnormal sound diagnosis system and abnormal sound diagnosis method.

Elevator abnormal sound diagnosis is performed by comparing sound pressure data during normal operation with sound pressure data at the time of diagnosis. For example, an abnormal sound diagnosis system is known that identifies the lifting or lowering position where an abnormal sound is occurring based on an image captured while the car is rising or falling, the measured sound pressure data, and the lifting or lowering position of the car. Alternatively, an abnormal sound diagnosis system is known that identifies the lifting or lowering position where an abnormal sound is occurring based on the orientation of multiple sound sensors, the sound pressure difference, the lifting or lowering position of the car, and a learning database. Such abnormal sound diagnosis systems can be expensive due to complex processing.

Patent No. 7006864 JP 2022-025828 A

The embodiment aims to provide a simple and inexpensive elevator abnormal sound diagnosis system and abnormal sound diagnosis method.

The abnormal sound diagnosis system for an elevator according to the embodiment includes two or more sound sensors provided on the top surface of the car to measure sounds generated while the car is ascending or descending, a first abnormal sound determination unit that determines whether an abnormal sound is occurring based on sound pressure measurement data created by measurement by each sound sensor, a first time difference calculation unit that calculates the time difference between the times when the sound pressure peak values of each sound pressure measurement data occurred as a measurement time difference when the first abnormal sound determination unit determines that an abnormal sound is occurring, a position calculation unit that calculates the position where the abnormal sound occurred relative to a reference point on the top surface of the car as a measured occurrence position based on the measurement time difference, 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 arrangement data at the ascending or descending position of the car where the sound pressure peak value occurred.

The method for diagnosing abnormal sounds in an elevator according to the embodiment includes the steps of measuring sounds generated during the ascent and descent of the elevator car using two or more sound sensors provided on the upper surface of the elevator car, determining whether or not an abnormal sound is occurring based on sound pressure measurement data created by the measurements of each sound sensor, calculating the time difference between the times when the sound pressure peak values of each sound pressure measurement data occurred as a measurement time difference if it is determined that an abnormal sound is occurring, calculating the position of the abnormal sound relative to a reference point on the upper surface of the elevator car as a measurement occurrence position based on the measurement time difference, and identifying the abnormal sound generating device that generated the abnormal sound based on the measurement occurrence position and device location data at the elevator car ascent and descent position where the sound pressure peak value occurred.

FIG. 1 is a schematic diagram showing an elevator apparatus according to a first embodiment. 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. FIG. 3 is a block diagram showing the elevator abnormal sound diagnostic system according to the first embodiment. 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 a sound from a sound source to the sound sensor shown in FIG. 2 , and FIG. 4( c) is a schematic diagram for explaining the calculation process of a measurement time difference by the first time difference calculation unit shown in FIG. 3 . FIG. 5( a) is a schematic diagram for explaining the determination process by the second abnormal sound detector 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 calculator shown in FIG. 3. FIG. 6 is a schematic diagram showing the arrangement of devices when the car in FIG. 1 is viewed from above, and is a diagram for explaining the reference time difference. 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. FIG. 8( a ) is a schematic plan view showing an example of equipment layout in the upper part of a hoistway, and FIG. 8( b ) is a diagram showing an example of equipment layout data shown in FIG. 8( a ). 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 ). FIG. 10(a) is a schematic plan view showing an example of equipment layout in the lower part of a hoistway, and FIG. 10(b) is a diagram showing an example of equipment layout data shown in FIG. 10(a). FIG. 11 is a flowchart showing the method for diagnosing abnormal sounds in an elevator according to the first embodiment. FIG. 12 is a block diagram showing an elevator abnormal sound diagnostic system according to the second embodiment.

The elevator abnormal sound diagnosis system and abnormal sound diagnosis method according to this embodiment will be described below with reference to the drawings.

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

As shown in FIG. 1, the elevator car 1 of 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 the 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, 3B provided in the hoistway 2. Guide rollers 4A, 4B that roll on the guide rails 3A, 3B are provided at the top and bottom of the car 1. As shown in FIG. 2, sheaves 5A, 5B around which the main rope is wound are provided on the top surface of the 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 the car 1.

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

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

The sound sensors 11 to 14 are provided on the upper 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 the sound pressure data creation unit 22, which will be described later, by wire or wirelessly. 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 upper surface of the car 1. The sound sensors 11 to 14 may be disposed in the center of an upper beam (not shown) located on the upper surface of the car 1 when viewed from above, as shown in FIG. 2, or may be disposed at each of the four corners of the upper surface of the car 1. When the sound sensors 11 to 14 have directionality, the direction of the sound sensors 11 to 14 is arbitrary, and the direction of the sound sensors 11 to 14 may be fixed.

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.

The communication unit 21 is configured to be able to communicate with the above-mentioned sound database 15, time difference database 16, equipment layout 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.

The sound pressure data creation unit 22 creates sound pressure measurement data from the sound measured by each of the sound sensors 11-14. The sound pressure measurement data is data that indicates the relationship between the time from when the car 1 starts ascending or descending and the sound pressure. Figure 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 11-14. Therefore, in this embodiment, four pieces of sound pressure measurement data are created from a single measurement.

The first abnormal sound detector 23 determines whether or not an abnormal sound is occurring based on each 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 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 sensors 11 to 14.

More specifically, the first abnormal sound determination unit 23 acquires each sound pressure reference data stored in the sound database 15 described later via the communication unit 21 described above. Each 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 value 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 value, it may be determined that an abnormal sound has occurred. If this sound pressure peak value difference ΔP is smaller than the first threshold value, it may be determined that an abnormal sound has not occurred. The sound pressure peak value is the maximum value of sound pressure in the sound pressure measurement data. FIG. 4(a) shows a representative example of sound pressure measurement data P1 obtained from the first sound sensor 11.

As described above, in this embodiment, four pieces of sound pressure measurement data are created. The first abnormal sound detector 23 compares each piece of sound pressure measurement data with the corresponding sound pressure reference data. 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 first threshold value described above, the first abnormal sound detector 23 may determine that an abnormal sound is occurring.

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 each 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 to 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 to 14 may differ. Therefore, in the abnormal sound diagnosis system 10 according to this embodiment, the location where the abnormal sound is occurring is identified using the time difference between the time it takes for the abnormal sound to reach each of the sound sensors 11 to 14.

For example, the first time difference calculation unit 24 may calculate the difference between the time when the sound pressure peak value of the sound pressure measurement data corresponding to the first sound sensor 11 occurs and the time when the 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. 4C, the first time difference calculation unit 24 calculates the measurement time difference Δt _21i between the time t2 when the sound pressure peak value corresponding to the second sound sensor 12 occurs and the time t1 when the sound pressure peak value corresponding to the first sound sensor 11 occurs. FIG. 4C shows a representative example of the sound pressure measurement data P1 obtained from the first sound sensor 11 and the sound pressure measurement data P2 obtained from the second sound sensor 12. In the same manner, the first time difference calculation unit 24 calculates the measurement time difference Δt _31i between the time t3 when the sound pressure peak value corresponding to the third sound sensor 13 occurs and the time t1. In addition, the first time difference calculating unit 24 calculates the measurement time difference Δt _41i between time t 4 when the sound pressure peak value corresponding to the fourth sound sensor 14 occurred and time t 1 .

The spectrogram creation unit 25 creates a measurement spectrogram from each 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 showing the relationship between the time, frequency, and sound pressure after the elevator car 1 starts ascending or descending. FIG. 5(a) shows a schematic diagram of the frequency-sound pressure characteristic obtained from the measurement spectrogram. In FIG. 5(a), the frequency-sound pressure characteristic obtained from the reference spectrogram described later is superimposed. The spectrogram creation unit 25 creates a measurement spectrogram for each sound pressure measurement data. Therefore, in this embodiment, four measurement spectrograms are created by one measurement, and the frequency-sound pressure characteristics are obtained for each. FIG. 5(a) shows a representative example of the frequency-sound pressure characteristic obtained from the measurement spectrogram obtained from the first sound sensor 11.

The spectrogram creation unit 25 may create the above-mentioned measurement spectrogram when the first abnormal sound detection unit 23 determines that no abnormal sound has occurred. Alternatively, the spectrogram creation unit 25 may create a measurement spectrogram not only when the first abnormal sound detection unit 23 determines that no abnormal sound has occurred, but also when the first abnormal sound detection unit 23 determines that an abnormal sound has occurred.

When the first abnormal sound detection unit 23 determines that no abnormal sound is occurring, the second abnormal sound detection unit 26 determines whether or not an abnormal sound is occurring based on the above-mentioned measurement spectrogram. For example, the second abnormal sound detection unit 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.

The second abnormal sound detector 26 acquires each reference spectrogram stored in the sound database 15 described later via the communication unit 21 described above. 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), if 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 an abnormal sound has occurred. If the absolute value of this peak frequency difference Δf is smaller than the second threshold, it may be determined that no abnormal sound has occurred. The peak frequency is the frequency at which a sound pressure peak value occurs in the spectrogram.

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.

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

For example, the second time difference calculation unit 27 may calculate the difference between the time when the sound pressure peak value of the measurement spectrogram corresponding to the first sound sensor 11 occurs and the time when the sound pressure peak value of the measurement spectrogram corresponding to the other sound sensors 12 to 14 occurs, similar to the first time difference calculation unit 24. The sound pressure peak value of the measurement spectrogram 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. 5B, the second time difference calculation unit 27 calculates the measurement time difference Δt 21i 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. 5B 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 31i 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 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. In addition, the second time difference calculation unit 27 calculates the measurement time difference Δt _41i 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 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.

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 occurs. However, the second time difference calculation unit 27 may also calculate the time when the sound pressure peak value occurs from the measurement spectrogram described above.

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

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 as an angle and radius in a circular coordinate system (or a 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 in a straight line to the right from the reference point SP, as described below. In this case, the reference line SL corresponds to an angle of 0°.

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 in a straight line to the right from the reference point SP. The reference point SP may be a point defined by the four sound sensors 11-14. The reference point SP may be the center point of the four sound sensors 11-14 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 11-14 may be positioned at a position offset from the reference point SP.

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 at which a sound generated at a specific generation position relative to the reference point SP described above reaches each of the sound sensors 11 to 14.

As shown in FIG. 6, the reference time difference can be calculated as the time difference until the sound from a virtual sound source reaches each of the sound sensors 11 to 14 by placing the virtual sound source at a specified angle on a circumference CA, CB having a specified radius. The virtual sound source may be placed at a specified 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 may be set at angle increments larger than 10°. Each reference time difference is associated with an angle and the radius of the circumference on which the virtual sound source is placed. Each reference time difference may be determined theoretically or experimentally.

In this embodiment, the position calculation unit 28 uses the reference time differences when the virtual sound source is arranged on a plurality of circumferences CA and CB. In this embodiment, the position calculation unit 28 uses the reference time differences _ΔtA21j , _ΔtA31j , and _ΔtA41j when the virtual sound source is arranged on the circumference CA, and the reference time differences _ΔtB21j , _ΔtB31j , and _ΔtB41j when the virtual sound source is arranged on the circumference CB. The number of circumferences on which the virtual sound source is arranged is not limited to two, and may be three or more, and is arbitrary.

As shown in Fig. 6, the radius RA of the circumference CA is different from the radius RB of the circumference CB. The reference time differences _ΔtA21j , _ΔtA31j , and _ΔtA41j shown in Fig. 7(a) are reference time differences when a virtual sound source is placed on the circumference CA of radius RA. The reference time differences _ΔtB21j , _ΔtB31j , and _ΔtB41j are reference time differences when a virtual sound source is placed on the circumference CB of radius RB. The reference time differences _ΔtA21j , _ΔtA31j , and _ΔtA41j and the reference time differences _ΔtB21j , _ΔtB31j , and _ΔtB41j are stored in the time difference database 16. The position calculation unit 28 uses the reference time differences stored in the time difference database 16.

FIG. 7(a) shows an example of the reference time difference. ΔtA _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. ΔtB _{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.

上記式（１）に、上述した第1時刻差算出部24または第２時刻差算出部27により算出された測定時刻差Δt_21i、Δt_31i、Δt_41iを代入するとともに、ある角度での基準時刻差ΔtA_21j、ΔtA_31j、ΔtA_41jを代入する。このことにより、その角度におけるIAが算出される。基準時刻差を角度毎に代入して式（１）の計算を実行することにより、図７（ｂ）に示すように、角度毎に、円周CAに対応するIAが算出される。 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 may calculate IA, which indicates the square root of the sum of squares (SRSS) of the difference between the reference time differences _ΔtA21j , _ΔtA31j , and _ΔtA41j and the measurement time differences _Δt21i , _Δt31i , and _Δt41i , using the following formula (1).

The measurement time differences _Δt21i, Δt31i, and Δt41i calculated by the first time difference calculation unit 24 or the second time difference calculation unit ₂₇ described above are substituted into the above formula (1), and the reference time differences _ΔtA21j , _ΔtA31j , and _ΔtA41j at a certain angle are substituted. This _allows the IA at that angle to be calculated. By substituting the reference time difference for each angle and executing the calculation of formula (1), the IA corresponding to the circumference CA is calculated for each angle, as shown in Figure 7(b).

上記式（２）に、上述した第1時刻差算出部24または第２時刻差算出部27により算出された測定時刻差Δt_21i、Δt_31i、Δt_41iを代入するとともに、ある角度での基準時刻差ΔtB_21j、ΔtB_31j、ΔtB_41jを代入する。このことにより、その角度におけるIBが算出される。基準時刻差を角度毎に代入して式（２）の計算を実行することにより、図７（ｂ）に示すように、角度毎に、円周CBに対応するIBが算出される。 Similarly, the position calculation unit 28 may calculate IB, which indicates the square root sum of squares (SRSS) of the differences between the reference time differences _ΔtB21j , _ΔtB31j , _ΔtB41j and the measurement time differences _Δt21i , _Δt31i , _Δt41i , using the following equation (2).

The measurement time differences _Δt21i, Δt31i, and Δt41i calculated by the first time difference calculation unit 24 or the second time difference calculation unit 27 described above are substituted into the above formula (2), and the reference _time differences _ΔtB21j , _ΔtB31j , and _ΔtB41j at a certain angle are substituted. This allows the IB at that angle to be calculated. By substituting the reference time difference for each angle and performing the calculation of formula (2 ₎ , the IB corresponding to the circumference CB is calculated for each angle, as shown in FIG. 7(b).

The point where the IA for each angle obtained by formula (1) and the IB for each angle obtained by formula (2) are the minimum value is the measurement generation position. An example calculated in this way is shown in FIG. 7(b). The horizontal axis of FIG. 7(b) is the angle, and the vertical axis is IA and IB. As can be seen from FIG. 7(b), there is an angle where IA is the minimum and there is an angle where IB is the minimum. The angle and radius where IA and IB are the minimum may be the measurement generation position. In the example shown in FIG. 7(b), IB is the minimum at an angle of about 170°, and the position determined by this angle and radius RB is the measurement generation position. The device identification unit 29 described later may process that an abnormal sound generating device exists at or near the measurement generation position. In the example shown in FIG. 7(b), IA is the minimum at an angle of about 220°, but the minimum value of IA is greater than the minimum value of IB. Therefore, it may be processed that no abnormal sound generating device exists at a position determined by radius RA at an angle of about 220°. However, this location may be subject to further diagnostic processing as it is a location where there may be a device generating abnormal sounds.

The equipment identification unit 29 identifies the abnormal sound generating equipment that generated the abnormal sound based on the measurement generation position and the equipment arrangement data. The equipment arrangement data used by the equipment identification unit 29 is equipment arrangement data at the lift position (height) of the car 1 where 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 arrangement data may be stored in the equipment arrangement database 17 described later. The equipment arrangement data may be stored in advance in the equipment arrangement database 17 for each lift position of the car 1. The equipment identification unit 29 identifies one piece of equipment arrangement data at the lift position of the car 1 where the sound pressure peak value occurred from the multiple equipment arrangement data stored in the equipment arrangement database 17. The equipment identification unit 29 identifies the lift position of the car 1 where the sound pressure peak value occurred based on the lift position data of the car 1 acquired by the car position acquisition unit 30 described later.

The 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. At this time, since there are multiple sound pressure peak values corresponding to each sound sensor 11 to 14, the lifting and lowering position of the car 1 may be identified using the average value of the time 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 sound pressure peak value is the largest. The lifting and lowering position of the car 1 may be acquired by the car position acquisition unit 30 described later. The equipment identification unit 29 acquires from the equipment layout database 17 the 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 occurs, from among the multiple equipment layout data stored in the equipment layout database 17 described later.

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

The equipment identification unit 29 identifies the equipment located closest to the measurement location among the car equipment 6A-6C installed on the top surface of the car 1 and the wall equipment 7A-7G installed on the wall surface 2a of the elevator 2 as the equipment generating the abnormal sound. For example, as shown in FIG. 7(b), when IB is at its minimum value near an angle of 170° and a sound pressure peak value occurs at the elevator 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.

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

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

The device replacement determination unit 31 determines whether or not the abnormal sound generating device identified by the device identification unit 29 should be replaced. The device replacement determination unit 31 may determine whether or not the abnormal sound generating device should be replaced based on the magnitude of the sound pressure of the abnormal sound generated from the abnormal sound generating device or the magnitude of the shift in the peak frequency of the abnormal sound. When the first abnormal sound determination unit 23 described above determines that an abnormal sound is generated, the device replacement determination unit 31 may determine that the abnormal sound generating device should be replaced when the sound pressure peak value difference ΔP described above 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 determination unit 26 described above determines that an abnormal sound is generated, the device replacement determination unit 31 may determine that the abnormal sound generating device should be replaced when the peak frequency difference Δf described above is equal to or greater than a predetermined fourth threshold. The fourth threshold may be greater than the second threshold.

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 on the abnormal sound generating device identified by the above-mentioned device identification unit 29 and the replacement determination result of the abnormal sound generating device determined by the above-mentioned device replacement determination unit 31. The information on 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. In addition, when it is determined by the first abnormal sound detection unit 23 and the second abnormal sound detection unit 26 that no abnormal sound is occurring, the information recording unit 32 may record each sound pressure measurement data created by the above-mentioned sound pressure data creation unit 22 and each measurement spectrogram created by the above-mentioned spectrogram creation unit 25 in the above-mentioned sound database 15.

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 in a pattern in which the car 1 ascends and descends from the lowest floor to the highest 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 to correspond to any ascending and descending pattern of the car 1. In this case, the sound pressure reference data of the ascending and descending pattern corresponding to the ascending and descending pattern of the car 1 at the time of diagnosis may be used in the first abnormal sound determination unit 23. The multiple sound pressure reference data stored in the sound database 15 may correspond to multiple ascending and descending patterns and may correspond to each sound sensor 11 to 14.

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. These 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 the change in the sound pressure data since the previous diagnosis, for example, whether the sound pressure is on the rise.

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 in a pattern in which the car 1 ascends and descends from the lowest floor to the highest floor without stopping along the way. The multiple reference spectrograms stored in the sound database 15 correspond to each measurement spectrogram. 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 reference spectrogram of the ascending and descending pattern corresponding to the ascending and descending pattern of the car 1 at the time of diagnosis may be used in the second abnormal sound determination unit 26. The multiple reference spectrograms stored in the sound database 15 may correspond to multiple ascending and descending patterns and may correspond to each sound sensor 11 to 14.

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 by the second abnormal sound detector 26. In this case, it is possible to check changes in the spectrogram since the previous diagnosis, for example, whether there is a tendency for the frequency to increase.

The time difference database 16 stores the above-mentioned multiple reference time differences ΔtA _21j , ΔtA _31j , ΔtA _41j and reference time differences ΔtB _21j , ΔtB _31j , ΔtB _41j .

The equipment layout database 17 stores the multiple equipment layout data described above. The equipment layout database 17 may store equipment layout data for multiple lifting and lowering 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 subdividing it into lifting and lowering ranges.

The display unit 18 may display the abnormal sound generating device identified by the device identification unit 29 described above. The display unit 18 may acquire information on the abnormal sound generating device from the device identification unit 29 via the communication unit 21 described above. The display unit 18 may display the result of the determination made by the device replacement determination unit 31 described above 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 performed.

The operation of this embodiment, which is configured as described above, i.e., the method for diagnosing abnormal sounds in elevators, will be explained using Figure 10.

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 be raised and lowered in any pattern that 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 bottom floor to the top floor without stopping along the way.

After step S1, in step S2, 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. In this embodiment, four pieces of sound pressure measurement data are created.

After step S2, in step S3, the first abnormal sound detection unit 23 determines whether or not an abnormal sound has occurred based on each sound pressure measurement data. More specifically, the first abnormal sound detection unit 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 detection unit 23 then determines whether or not an abnormal sound has occurred by comparing the sound pressure peak values of the sound pressure reference data and the sound pressure peak values of the sound pressure measurement data that correspond to each other (see FIG. 4(a)). In this embodiment, it may be determined that an abnormal sound has occurred when the sound pressure peak 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.

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 each sound pressure measurement data occurred as the measurement time difference (see FIG. 4(b)). In this embodiment, the above-mentioned measurement time differences _Δt , _Δt , _Δt are calculated.

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

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

If it is determined in step S6 that an abnormal sound is occurring, 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 differences _Δt , _Δt , _Δt are calculated.

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

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 sound sensor 11-14 based on the measurement time difference. If it is determined in step S3 that an abnormal sound is occurring, 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 is occurring, the position calculation unit 28 uses the measurement time difference calculated in step S7. The position calculation unit 28 substitutes the measurement time differences _Δt21i , _Δt31i , and _Δt41i into the above-mentioned formula (1), and also substitutes the above-mentioned reference time differences _ΔtA21j , _ΔtA31j , and _ΔtA41j for each angle to calculate IA for each angle. The position calculation unit 28 also substitutes the measurement time differences _Δt21i , _Δt31i , and _Δt41i into the above-mentioned formula (2), and also substitutes the above-mentioned reference time differences _ΔtB21j , _ΔtB31j , and _ΔtB41j 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.

After step S8, in step S9, the equipment identification 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.

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

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

If it is determined in step S10 that the device generating the abnormal sound 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 described above that an abnormal sound is occurring, the information recording unit 32 records information about the device generating the abnormal sound and the result of the determination to replace the device generating the abnormal sound 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 each of the sound pressure measurement data and each of the measurement spectrograms described above in the sound database 15. After step S12, the abnormal sound diagnosis method according to this embodiment may end.

In this way, according to this embodiment, when it is determined that an abnormal sound is occurring based on the sound pressure measurement data created by the measurement of each sound sensor 11 to 14, the time difference between the times when the sound pressure peak value of each sound pressure measurement data occurred is calculated as the measurement time difference. Based on this measurement time difference, the position 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 position, and the abnormal sound generating device that generated the abnormal sound is identified based on this measurement occurrence position and the device arrangement data at the elevation position of the car 1 where the sound pressure peak value occurred. This makes it possible to identify the abnormal sound generating device with a simple configuration. Therefore, it is possible to diagnose abnormal sounds in an elevator at low cost with a simple configuration. In addition, since the position 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.

In addition, according to this embodiment, the measurement occurrence position is determined by the direction relative to a reference point and the distance from the reference point. This makes it possible to identify the position where the abnormality occurred as coordinates. This makes it easy to narrow down candidates for equipment generating abnormal sounds, facilitating the identification of equipment generating abnormal sounds and improving reliability.

Furthermore, according to this embodiment, the position calculation unit 28 calculates the measured generation 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 a sound generated at a certain generation position relative to the reference point SP reaches each of the sound sensors 11-14. This makes it possible to easily calculate the measured generation position, and simplifies the configuration of the position calculation unit 28, which can be constructed at low cost. In particular, according to this embodiment, the position calculation unit 28 calculates the measured generation position by calculating the square root of the sum of the squares of the difference between the reference time difference and the measured time difference. This makes it possible to easily calculate the measured generation position.

Furthermore, according to this embodiment, the position calculation unit calculates the square root of the sum of squares for each circumference CA and CB using the reference time difference when a virtual sound source is 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.

Furthermore, according to this embodiment, equipment layout data for each lift position of the car 1 is stored in the equipment layout database 17. The equipment identification unit 29 identifies one piece of equipment layout data at the lift position of the car 1 where the sound pressure peak value 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 at the lift position of the car 1 when the abnormal sound occurred. This allows the configuration of the equipment identification unit 29 to be simplified and inexpensively constructed.

Furthermore, according to this embodiment, the first abnormal sound detector 23 determines whether or not an abnormal sound has occurred 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. This makes it possible to determine whether or not an abnormal sound has occurred based on the sound pressure peak value of the sound pressure measurement data. This makes it possible to easily determine whether or not an abnormal sound has occurred, and the configuration of the first abnormal sound detector 23 can be simplified and constructed at low cost.

In addition, according to this embodiment, when the first abnormal sound detector 23 determines that no abnormal sound has occurred, the second abnormal sound detector 26 determines whether or not an abnormal sound has occurred based on the measurement spectrogram obtained from each sound pressure measurement data. When the second abnormal sound detector 26 determines that an abnormal sound has occurred, the time difference between the times when the sound pressure peak values of each measurement spectrogram occurred is calculated as the measurement time difference. As a result, even if it is determined that no abnormal sound has occurred based on the sound pressure measurement data, if it is determined that an abnormal sound has occurred based on the measurement spectrogram, the measurement time difference can be calculated. Based on the calculated measurement time difference, the above-mentioned measurement occurrence position can be calculated, and the abnormal sound generating device can be identified. Therefore, the second abnormal sound detector 26 can determine the occurrence of an abnormal sound from a perspective different from that of the first abnormal sound detector 23, and the accuracy of determining the occurrence of an abnormal sound can be improved.

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

In addition, according to this embodiment, the equipment replacement determination unit 31 determines whether or not the abnormal sound generating equipment identified by the 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, when 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.

In the above-described embodiment, an example of performing abnormal sound diagnosis using four sound sensors 11 to 14 has been described. 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.

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.

The second embodiment shown in FIG. 12 differs mainly in that the orientation of the sound sensor can be changed, and other configurations are substantially the same as the first embodiment shown in FIG. 1 to FIG. 11. Note that in FIG. 12, the same parts as those in the first embodiment shown in FIG. 1 to FIG. 11 are given the same reference numerals and detailed descriptions are omitted.

As shown in FIG. 12, the abnormal sound diagnosis system 10 according to this embodiment may further include a sensor drive unit 19 that can change the orientation of the sound sensors 11 to 14, and a sensor drive control unit 33 that controls the sensor drive unit 19. Each of the sound sensors 11 to 14 according to this embodiment has directionality.

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 rotating 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 according to a control signal transmitted from the sensor driving control unit 33. The sensor driving control unit 33 may be configured within the diagnostic device 20.

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 a device from which an abnormal sound is expected to be generated. This improves the accuracy of sound measurement, and improves the accuracy of abnormal sound diagnosis. Also, the orientation of each sound sensor 11 to 14 can be oriented in a different direction from each other. In this case, sounds from multiple directions can be measured with high accuracy, and the accuracy of abnormal sound diagnosis can be improved.

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

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 gist of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are included in the scope of the invention and its equivalents described in the claims.

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 drive 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 drive control unit, SP: Reference point

Claims (12)

Two or more sound sensors are provided on an upper surface of the car to measure sounds generated during the ascent and descent of the car;
A first abnormal sound determination unit that determines whether or not an abnormal sound is occurring based on sound pressure measurement data created by measurement of each of the sound sensors; and
a first time difference calculation unit that calculates, when it is determined by the first abnormal sound determination unit that an abnormal sound is occurring, a time difference between times when sound pressure peak values of each of the sound pressure measurement data occurred as a measurement time difference;
a position calculation unit that calculates a position where an abnormal sound occurs relative to a reference point on the upper surface of the car as a measured occurrence position based on the measurement time difference;
an equipment identification unit that identifies an abnormal sound generating equipment that has generated the abnormal sound based on the measurement generation position and equipment arrangement data at the elevator position where the sound pressure peak value occurred;
The abnormal sound diagnosis system for elevators is provided with the above. The measurement generation position is defined by a direction relative to the reference point and a distance from the reference point.
The elevator abnormal sound diagnosis system according to claim 1. 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 elevator abnormal sound diagnosis system according to claim 1 or 2. the position calculation unit calculates the measurement occurrence position by calculating a square root of the sum of squares of the difference between the reference time difference and the measurement time difference.
The elevator abnormal sound diagnosis system according to claim 3. The abnormal sound diagnosis system for elevators 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 a virtual sound source is placed on multiple circumferences relative to the reference point. Further comprising an equipment layout database storing equipment layout data for each lifting position of the elevator,
The equipment identification unit identifies one of the equipment layout data at a lifting position of the elevator where the sound pressure peak value occurs from the plurality of equipment layout data stored in the equipment layout database.
The elevator abnormal sound diagnosis system according to claim 1 or 2. the first abnormal sound detection unit determines whether or not 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 elevator abnormal sound diagnosis system according to claim 1 or 2. a second abnormal sound detection unit that, when it is determined by the first abnormal sound detection unit 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
and a second time difference calculation unit that calculates, when it is determined by the second abnormal sound determination unit that an abnormal sound is occurring, a time difference between times when sound pressure peak values of the respective measurement spectrograms occur as the measurement time difference.
The elevator abnormal sound diagnosis system according to claim 1 or 2. 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 elevator abnormal sound diagnosis system according to claim 8. The device further includes an equipment replacement determination unit that determines whether or not the abnormal sound generating device identified by the equipment identification unit should be replaced.
The elevator abnormal sound diagnosis system according to claim 1 or 2. A sensor driver capable of changing the orientation of the sound sensor;
A sensor drive control unit that controls the sensor drive unit.
The elevator abnormal sound diagnosis system according to claim 1 or 2. measuring sounds generated during ascent and descent of the elevator car 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 of each of the sound sensors;
a step of calculating a time difference between the times when the peak sound pressure values of each of the sound pressure measurement data occurred as a measurement time difference when it is determined that an abnormal sound has occurred;
calculating a location where an abnormal sound occurs relative to a reference point on the top surface of the car as a measured occurrence location based on the measurement time difference;
Identifying an abnormal sound generating device that has 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.

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