Abnormal sound diagnosis system and abnormal sound diagnosis method for elevator

Abstract

The invention relates to an abnormal sound diagnosis system and an abnormal sound diagnosis method of an elevator. In an abnormal sound diagnosis system of an elevator according to an embodiment, when it is determined that an abnormal sound is generated on the basis of sound pressure measurement data created by measurement of each sound sensor, the time difference at which the sound pressure peak value of each sound pressure measurement data appears is calculated as a measurement time difference. On the basis of the measurement time difference, the generation position of the abnormal sound relative to a reference point in the upper surface of the passenger car is calculated as a measurement generation position, and on the basis of the measurement generation position and the equipment configuration data at the lifting position of the passenger car where the sound pressure peak value occurs, the abnormal sound generation equipment which causes the abnormal sound is determined.

Description

Technical Field

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

[0002] The abnormal sound diagnosis of the elevator is performed by comparing the sound pressure data during normal operation with the sound pressure data during diagnosis. For example, an abnormal sound diagnosis system is known, which determines the lifting position where the abnormal sound is generated based on the image captured during the lifting of the passenger car, the sound pressure data determined (measured) and the lifting position of the passenger car. Alternatively, for example, an abnormal sound diagnosis system is also known, which determines the lifting position where the abnormal sound is generated based on the orientation (direction) of multiple sound sensors, the sound pressure difference, the lifting position of the passenger car and the learning database. This abnormal sound diagnosis system may become complicated to handle and become an expensive system.

[0003] Prior art literature

[0004] Patent Document 1: Japanese Patent No. 7006864

[0005] Patent Document 2: Japanese Patent Application Publication No. 2022-025828 Summary of the invention

[0006] Problems to be solved by the invention

[0007] An object of the embodiments is to provide a simple and inexpensive abnormal sound diagnostic system and abnormal sound diagnostic method for an elevator.

[0008] Technical solutions to solve problems

[0009] The abnormal sound diagnostic system of an elevator in the embodiment comprises: two or more sound sensors, which are arranged on the upper surface of the passenger car to measure the sound generated during the lifting of the passenger car; a first abnormal sound determination unit, which determines whether an abnormal sound has occurred based on the sound pressure measurement data created by the measurement of each sound sensor; a first time difference calculation unit, which calculates the time difference between the times when the sound pressure peaks of each sound pressure measurement data appear as the measurement time difference when the first abnormal sound determination unit determines that an abnormal sound has occurred; a position calculation unit, which calculates the generation position of the abnormal sound relative to the reference point in the upper surface of the passenger car as the measurement generation position based on the measurement time difference; and a device determination unit, which determines the abnormal sound generating device that causes the abnormal sound based on the measurement generation position and the device configuration data at the lifting position of the passenger car where the sound pressure peak appears.

[0010] The abnormal sound diagnosis method of an elevator in an embodiment includes the following steps: a step of measuring the sound generated during the lifting of the passenger car by means of two or more sound sensors arranged on the upper surface of the passenger car; a step of determining whether an abnormal sound has been generated based on sound pressure measurement data created by the measurement of each sound sensor; a step of calculating the time difference between the times when the sound pressure peaks of each sound pressure measurement data appear as a measurement time difference when it is determined that an abnormal sound has been generated; a step of calculating the generation position of the abnormal sound relative to a reference point in the upper surface of the passenger car based on the measurement time difference as a measurement generation position; and a step of determining the abnormal sound generating device that causes the abnormal sound based on the measurement generation position and the device configuration data at the lifting position of the passenger car where the sound pressure peak appears. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 This is a schematic diagram showing the elevator apparatus according to the first embodiment.

[0012] Figure 2 It means to observe from above Figure 1 A schematic diagram of the equipment configuration for the hoistway (hoisting passage) and the passenger car.

[0013] Figure 3 This is a block diagram showing the abnormal sound diagnostic system for an elevator according to the first embodiment.

[0014] Figure 4 (a) is used to illustrate the Figure 3 FIG. 1 is a schematic diagram of a determination process performed by the first abnormal sound determination unit shown in FIG. Figure 4 (b) is used to illustrate the arrival of sound from the sound source. Figure 2 The schematic diagram of the sound sensor timing is shown, Figure 4 (c) is used to illustrate the Figure 3 Schematic diagram of the calculation process of the measured time difference performed by the first time difference calculation unit shown.

[0015] Figure 5 (a) is used to illustrate the Figure 3 FIG. 1 is a schematic diagram of a determination process performed by the second abnormal sound determination unit shown in FIG. Figure 5 (b) is used to illustrate the Figure 3 Schematic diagram of the calculation process of the measured time difference performed by the second time difference calculation unit shown.

[0016] Figure 6 It means to observe from above Figure 1 This is a schematic diagram of the equipment configuration when the elevator car is in use, and is a diagram for explaining the reference time difference.

[0017] Figure 7 (a) is used to illustrate Figure 3The table of reference time differences used by the position calculation unit shown in FIG. Figure 7 (b) is used to illustrate the Figure 3 A coordinate diagram showing a calculation process of a generation position performed by a position calculation unit shown in FIG.

[0018] Figure 8 (a) is a schematic plan view showing an example of equipment configuration above the hoistway. Figure 8 (b) means Figure 8 A diagram showing an example of device configuration data shown in (a).

[0019] Fig. 9 (a) is a schematic plan view showing an example of equipment arrangement in the central part of the hoistway. Fig. 9 (b) means Fig. 9 A diagram showing an example of device configuration data shown in (a).

[0020] Fig.10 (a) is a schematic plan view showing an example of equipment configuration at the lower part of the hoistway. Fig.10 (b) means Fig.10 A diagram showing an example of device configuration data shown in (a).

[0021] Fig.11 This is a flowchart showing the abnormal sound diagnostic method for an elevator according to the first embodiment.

[0022] Fig.12 This is a block diagram showing an abnormal sound diagnostic system for an elevator according to the second embodiment. DETAILED DESCRIPTION

[0023] Hereinafter, an abnormal sound diagnostic system and an abnormal sound diagnostic method for an elevator according to the present embodiment will be described with reference to the drawings.

[0024] (First embodiment)

[0025] First, use Figures 1 to 11 An abnormal sound diagnostic system and an abnormal sound diagnostic method for an elevator according to a first embodiment will be described.

[0026] like Figure 1 As shown, the elevator car 1 of this embodiment is connected to a counterweight (counterweight) not shown in the figure through a main rope. The main rope is wound around a traction sheave connected to a traction machine not shown in the figure, and the traction machine winds up the main rope, thereby raising and lowering the car 1 and the counterweight. The raising and lowering of the car 1 is guided by a pair of guide rails 3A and 3B provided in the hoistway 2. Guide rollers 4A and 4B rolling on the guide rails 3A and 3B are provided on the upper and lower parts of the car 1. Figure 2As shown, pulleys 5A and 5B around which main ropes are wound are provided on the upper surface of the passenger car 1. In addition, a first car facility 6A, a second car facility 6B, and a third car facility 6C are provided on the upper surface of the passenger car 1.

[0027] The elevator abnormal sound diagnostic system 10 of the present embodiment is a system for diagnosing whether an abnormal sound is generated during the ascending and descending of the passenger car 1. The abnormal sound diagnostic system 10 will be described below.

[0028] like Figure 2 as well as Figure 3 As shown, the abnormal sound diagnosis system 10 has more than two sound sensors 11 to 14, a diagnosis device 20, a sound database 15, a time difference database 16, a device configuration database 17 and a display unit 18. The sound sensors 11 to 14 and the diagnosis device 20 can be arranged on the upper surface of the passenger car 1. The sound database 15, the time difference database 16 and the device configuration database 17 can be arranged in the control device of the elevator, and can also be arranged outside the control device. Alternatively, the databases 15 to 17 can also be arranged in a cloud server. The display unit 18 can be arranged in the monitoring room of the elevator. In this embodiment, as Figure 2 As shown, as an example, an abnormal sound diagnosis system 10 including four sound sensors 11 to 14 will be described. The four sound sensors 11 to 14 are a first sound sensor 11 , a second sound sensor 12 , a third sound sensor 13 , and a fourth sound sensor 14 .

[0029] The sound sensors 11 to 14 are installed on the upper surface of the passenger car 1. The sound sensors 11 to 14 measure the sound generated when the passenger car 1 is raised or lowered. The sound sensors 11 to 14 may be microphones that can measure sounds of 20 Hz to 20 kHz. The sound sensors 11 to 14 may be connected to the sound pressure data creation unit 22 described later by wire or wireless. Sound signals are sent 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 passenger car 1. The sound sensors 11 to 14 may be as follows: Figure 2 As shown in the figure, the sound sensors 11 to 14 are arranged at the center of the upper beam (not shown) located on the upper surface of the car 1 when viewed from above, but may also be arranged at the four corners of the upper surface of the car 1. When the sound sensors 11 to 14 have directivity, the directions of the sound sensors 11 to 14 are arbitrary, and the directions of the sound sensors 11 to 14 may also be fixed.

[0030] The diagnostic device 20 performs various processes of abnormal sound diagnosis of the present embodiment. The diagnostic device 20 may include a communication unit 21, a sound pressure data creation unit 22, a first abnormal sound determination unit 23, a first time difference calculation unit 24, a spectrogram creation unit 25, a second abnormal sound determination unit 26, a second time difference calculation unit 27, a position calculation unit 28, a device determination unit 29, a car position acquisition unit 30, a device replacement determination unit 31, and an information recording unit 32.

[0031] The communication unit 21 is configured to be able to communicate with the above-mentioned voice database 15, time difference database 16, device configuration database 17, and display unit 18. The communication unit 21 may be configured to be able to communicate with each database 15 to 17 and display unit 18 via the Internet.

[0032] The sound pressure data creating unit 22 creates (generates) sound pressure measurement data based on the sounds measured by the sound sensors 11 to 14. The sound pressure measurement data is data indicating the relationship between the time after the car 1 starts to move up and down and the sound pressure. Figure 4 (a) schematically shows the sound pressure measurement data. The sound pressure data generating unit 22 generates sound pressure measurement data for each of the acoustic sensors 11 to 14. Therefore, in the present embodiment, four sound pressure measurement data can be generated through one measurement.

[0033] The first abnormal sound determination unit 23 determines whether an abnormal sound has occurred based on each sound pressure measurement data. For example, the first abnormal sound determination unit 23 can determine whether an abnormal sound has occurred by comparing the sound pressure peak value of the 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 respectively associated with the corresponding sound sensors 11 to 14.

[0034] More specifically, the first abnormal sound determination unit 23 obtains each sound pressure reference data stored in the sound database 15 described later via the communication unit 21. Each sound pressure reference data is compared with the corresponding sound pressure measurement data. Figure 4 As shown in (a), when the sound pressure peak difference ΔP obtained by subtracting the sound pressure peak of the corresponding sound pressure reference data P0 from the sound pressure peak of the sound pressure measurement data P1 is greater than a predetermined first threshold, it is determined that an abnormal sound has occurred. Alternatively, when the sound pressure peak difference ΔP is less than the first threshold, it is determined that no abnormal sound has occurred. The sound pressure peak is the highest value of the sound pressure in the sound pressure measurement data. Figure 4 (a) representatively illustrates the sound pressure measurement data P1 obtained from the first acoustic sensor 11 .

[0035] As described above, in the present embodiment, four sound pressure measurement data are created. The first abnormal sound determination unit 23 compares each sound pressure measurement data with the corresponding sound pressure reference data. The first abnormal sound determination unit 23 may also determine that an abnormal sound has occurred when the sound pressure peak difference ΔP for at least one sound pressure measurement data is greater than the first threshold value described above.

[0036] When the first abnormal sound determination unit 23 determines that an abnormal sound has been generated, the first time difference calculation unit 24 calculates the time difference between the times when the sound pressure peaks of the respective sound pressure measurement data appear as the measurement time difference. The measurement time difference is the time difference from when the abnormal sound generated by the abnormal sound generating device described later reaches each sound sensor 11 to 14. Figure 4 As shown in (b), the time taken for the abnormal sound generated by the abnormal sound generating device to reach each sound sensor 11 to 14 may be different. Therefore, in the abnormal sound diagnosis system 10 of this embodiment, the time difference until the abnormal sound reaches each sound sensor 11 to 14 is used to determine the generation position of the abnormal sound.

[0037] For example, the first time difference calculation unit 24 may calculate the difference between the time when the sound pressure peak of the sound pressure measurement data corresponding to the first sound sensor 11 appears and the time when the sound pressure peak of the sound pressure measurement data corresponding to the other sound sensors 12 to 14 appears. Figure 4 As shown in (c), the first time difference calculation unit 24 calculates the measurement time difference Δt between the time t2 when the sound pressure peak corresponding to the second acoustic sensor 12 appears and the time t1 when the sound pressure peak corresponding to the first acoustic sensor 11 appears. 21i . Figure 4 (c) representatively illustrates 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. Similarly, the first time difference calculation unit 24 calculates the measurement time difference Δt between the time t3 when the sound pressure peak corresponding to the third sound sensor 13 appears and the time t1. 31i In addition, the first time difference calculation unit 24 calculates the measurement time difference Δt between the time t4 when the sound pressure peak corresponding to the fourth acoustic sensor 14 appears and the time t1. 41i .

[0038] The spectrogram creation unit 25 creates (draws) a measurement spectrogram (spectrogram, spectrogram) based on each sound pressure measurement data created by the above-mentioned sound pressure data creation unit 22. The measurement spectrogram can be created by performing fast Fourier transform on the sound pressure measurement data. The measurement spectrogram is data that represents the relationship between the time, frequency, and sound pressure after the passenger car 1 starts to rise and fall. Figure 5 (a) schematically shows the frequency-sound pressure characteristics obtained from the measured spectrum. Figure 5 In (a), the frequency-sound pressure characteristics obtained from the reference spectrogram described later are shown in an overlapping manner. The spectrogram creation unit 25 creates a measurement spectrogram for each sound pressure measurement data. Therefore, in this embodiment, four measurement spectrograms can be created through one measurement, and the frequency-sound pressure characteristics can be obtained for each. Figure 5 (a) representatively illustrates the frequency-sound pressure characteristics obtained from the measurement spectrum obtained from the first acoustic sensor 11 .

[0039] The spectrogram creation unit 25 may create the above-mentioned measured spectrogram when the first abnormal sound determination unit 23 determines that no abnormal sound is generated. Alternatively, the spectrogram creation unit 25 may create the measured spectrogram not only when the first abnormal sound determination unit 23 determines that no abnormal sound is generated, but also when the first abnormal sound determination unit 23 determines that an abnormal sound is generated.

[0040] When the first abnormal sound determination unit 23 determines that no abnormal sound has been generated, the second abnormal sound determination unit 26 determines whether an abnormal sound has been generated based on the above-mentioned measured spectrogram. For example, the second abnormal sound determination unit 26 can determine whether an abnormal sound has been generated by comparing the peak frequency of a pre-stored reference spectrogram with the peak frequency of the measured spectrogram. The peak frequency of each measured spectrogram is compared with the peak frequency of the corresponding reference spectrogram. Each measured spectrogram is associated with the corresponding sound sensor 11 to 14.

[0041] The second abnormal sound determination unit 26 obtains 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 measurement spectrogram. More specifically, Figure 5 As shown in (a), when the absolute value of the peak frequency difference Δf between the peak frequency f1 of the measured spectrum and the peak frequency f0 of the corresponding reference spectrum is greater than a predetermined second threshold value, it is determined that an abnormal sound has occurred. It is also possible to determine that no abnormal sound has occurred when the absolute value of the peak frequency difference Δf is less than the second threshold value. The peak frequency is the frequency when the sound pressure peak appears in the spectrum.

[0042] As described above, in the present embodiment, four measurement spectrograms are created. The peak frequency of each measurement spectrogram is compared with the peak frequency of the corresponding reference spectrogram by the second abnormal sound determination unit 26. The second abnormal sound determination unit 26 may also determine that an abnormal sound has occurred when the absolute value of the peak frequency difference Δf with respect to at least one measurement spectrogram is greater than the second threshold value described above.

[0043] When the second abnormal sound determination unit 26 determines that an abnormal sound has occurred, the second time difference calculation unit 27 calculates the time difference between the times when the sound pressure peaks of each measurement spectrogram appear as the measurement time difference. The measurement time difference calculated by the second time difference calculation unit 27 is the same as the measurement time difference calculated by the first time difference calculation unit 24, and is a value used in the position calculation unit 28 described later.

[0044] For example, similarly to the first time difference calculation unit 24, the second time difference calculation unit 27 may calculate the difference between the time when the sound pressure peak of the measurement spectra corresponding to the first sound sensor 11 appears and the time when the sound pressure peak of the measurement spectra corresponding to the other sound sensors 12 to 14 appears. The sound pressure peak of the measurement spectra corresponding to the other sound sensors 12 to 14 may be the sound pressure peak with respect to the peak frequency f1 obtained from the measurement spectra corresponding to the first sound sensor 11. In this embodiment, Figure 5 As shown in (b), the second time difference calculation unit 27 calculates the measured time difference Δt between the time t2 when the sound pressure peak value (sound pressure peak value with respect to the peak frequency f1) corresponding to the second sound sensor 12 appears and the time t1 when the sound pressure peak value (sound pressure peak value with respect to the peak frequency f1) corresponding to the first sound sensor 11 appears 21i . Figure 5 (b) representatively illustrates the time characteristics of the peak frequency f1 of the first acoustic sensor 11 (sound pressure measurement data P1 with the peak frequency f1 as a component) and the time characteristics of the peak frequency f1 of the second acoustic sensor 12 (sound pressure measurement data P2 with 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 corresponding to the third acoustic sensor 13 (the sound pressure peak with respect to the peak frequency f1) appears and the time t1 when the sound pressure peak corresponding to the first acoustic sensor 11 (the sound pressure peak with respect to the peak frequency f1) appears. 31i In addition, the second time difference calculation unit 27 calculates the measurement time difference Δt between the time t4 when the sound pressure peak corresponding to the fourth sound sensor 14 (the sound pressure peak with respect to the peak frequency f1) appears and the time t1 when the sound pressure peak corresponding to the first sound sensor 11 (the sound pressure peak with respect to the peak frequency f1) appears. 41i .

[0045] The second time difference calculation unit 27 can create Figure 5 The time characteristic of the peak frequency of the measurement spectrum as shown in (b) of FIG. 1 is used to calculate the time when the sound pressure peak appears. However, the second time difference calculation unit 27 may calculate the time when the sound pressure peak appears based on the above-mentioned measurement spectrum.

[0046] The position calculation unit 28 calculates the position of the sound generation relative to the reference point SP on the upper surface of the passenger car 1 as the measured generation position based on the above-mentioned measurement time difference. The measured generation position calculated by the position calculation unit 28 is the generation position of the sound when viewed from above. When the above-mentioned first abnormal sound determination unit 23 determines that an abnormal sound has been generated, the position calculation unit 28 uses the measurement time difference calculated by the first time difference calculation unit 24. When the above-mentioned second abnormal sound determination unit 26 determines that an abnormal sound has been generated, the position calculation unit 28 uses the measurement time difference calculated by the second time difference calculation unit 27.

[0047] The position calculation unit 28 may also calculate the measurement position as a two-dimensional plane coordinate at a height position corresponding to the upper surface of the car 1. For example, the measurement position calculated by the position calculation unit 28 may be determined by the direction relative to the reference point SP and the distance from the reference point SP. Figure 6 As shown in FIG. 1 , the measurement generation position can 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 can be determined based on a reference line SL extending straightly from the reference point SP to the right as described later. In this case, the reference line SL is equivalent to an angle of 0°.

[0048] In this embodiment, if Figure 6 As shown in FIG. 1 , the angle is set in a manner that the angle advances counterclockwise from the reference line SL extending linearly from the reference point SP to the right. 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 upper surface of the passenger car 1, or may be set at any point on the upper surface of the passenger car 1. For example, the four sound sensors 11 to 14 may be arranged at a position deviated from the reference point SP.

[0049] For example, the position calculation unit 28 may calculate the measured generation position using a reference time difference. The reference time difference is the time difference when the sound generated at the predetermined generation position reaches each of the acoustic sensors 11 to 14 relative to the reference point SP described above.

[0050] The reference time difference can be calculated as the following time difference, that is, Figure 6 As shown, a virtual sound source is arranged at a predetermined angle on a circle CA, CB having a predetermined radius, and the time difference until the sound from the virtual sound source reaches each sound sensor 11 to 14. The virtual sound source can be arranged at a predetermined angle increment (scale) from 0°. Figure 7(a) shows the reference time difference when the virtual sound source is configured in increments of 10°. The reference time difference can be set in increments of angles smaller than 10°, but can also be set in increments of angles larger than 10°. Each reference time difference is associated with an angle and a radius of a circle on which the virtual sound source is configured. Each reference time difference can be obtained theoretically or experimentally.

[0051] In the present embodiment, the position calculation unit 28 uses the reference time difference when the virtual sound source is arranged on the plurality of circles CA and CB. In the present embodiment, the position calculation unit 28 uses the reference time difference ΔtA when the virtual sound source is arranged on the circle CA. 21j , ΔtA 31j , ΔtA 41j The reference time difference ΔtB when the virtual sound source is arranged on the circle CB 21j , ΔtB 31j , ΔtB 41j The number of circles on which the virtual sound sources are arranged is not limited to two, and may be three or more, and is arbitrary.

[0052] like Figure 6 As shown, the radius RA of the circle CA is different from the radius RB of the circle CB. Figure 7 The reference time difference ΔtA shown in (a) 21j , ΔtA 31j , ΔtA 41j It is the reference time difference when the virtual sound source is arranged on the circumference CA of the radius RA. Reference time difference ΔtB 21j , ΔtB 31j , ΔtB 41j It is the reference time difference when the virtual sound source is arranged on the circle CB with radius RB. Reference time difference ΔtA 21j , ΔtA 31j , ΔtA 41j The difference from the reference time is ΔtB 21j , ΔtB 31j , ΔtB 41j The reference time difference is stored in the time difference database 16 . The position calculation unit 28 uses the reference time difference stored in the time difference database 16 .

[0053] exist Figure 7 (a) shows an example of the reference time difference. 21j is the reference time difference between the first acoustic sensor 11 and the second acoustic sensor 12 when the virtual sound source is arranged on the circumference CA. 31j is the reference time difference between the first acoustic sensor 11 and the third acoustic sensor 13, ΔtA 41jIt is the reference time difference between the first acoustic sensor 11 and the fourth acoustic sensor 14. ΔtB 21j is the reference time difference between the first acoustic sensor 11 and the second acoustic sensor 12 when the virtual sound source is arranged on the circumference CB. 31j is the reference time difference between the first acoustic sensor 11 and the third acoustic sensor 13, ΔtB 41j This is the reference time difference between the first acoustic sensor 11 and the fourth acoustic sensor 14 .

[0054] The position calculation unit 28 calculates the square root of the sum of squares of the difference between the reference time difference and the measured time difference. The position calculation unit 28 may calculate the square root of the sum of squares for each of the circles CA and CB. More specifically, the position calculation unit 28 may calculate the square root of the sum of squares for the reference time difference ΔtA using the following equation (1). 21j , ΔtA 31j , ΔtA 41j Difference Δt from the measured time 21i , Δt 31i , Δt 41i The square root of the sum of the squares of the differences (SRSS) of the IA.

[0055]

[0056] The measured time difference Δt calculated by the first time difference calculation unit 24 or the second time difference calculation unit 27 is 21i , Δt 31i , Δt 41i Substitute into the above equation (1) and substitute the reference time difference ΔtA at a certain angle 21j , ΔtA 31j , ΔtA 41j . Thus, the IA at this angle is calculated. By substituting the reference time difference into each angle and performing the calculation of formula (1), as shown in Figure 7 As shown in (b) of FIG. 1 , the IA corresponding to the circle CA is calculated for each angle.

[0057] Similarly, the position calculation unit 28 can calculate the reference time difference ΔtB using the following equation (2): 21j , ΔtB 31j , ΔtB 41j Difference Δt from the measured time 21i , Δt 31i , Δt 41i The square root of the sum of the squares of the differences (SRSS) of the IBs.

[0058]

[0059] The measured time difference Δt calculated by the first time difference calculation unit 24 or the second time difference calculation unit 27 is 21i , Δt 31i , Δt 41i Substitute into the above equation (2) and substitute the reference time difference ΔtB at a certain angle 21j , ΔtB 31j , ΔtB 41j . Thus, the IB at this angle is calculated. By substituting the reference time difference into each angle and executing the calculation of formula (2), as shown in Figure 7 As shown in (b), the IB corresponding to the circle CB is calculated for each angle.

[0060] The point of minimum value between IA for each angle obtained by equation (1) and IB for each angle obtained by equation (2) is the measurement occurrence position. Figure 7 (b) shows an example of such calculation. Figure 7 The horizontal axis of (b) is the angle, and the vertical axis is IA and IB. Figure 7 From (b), it can be seen that there is an angle where IA is the smallest and there is an angle where IB is the smallest. The angle and radius that are the smallest among IA and IB can be used to measure the location where the measurement is made. Figure 7 In the example shown in (b), the IB near the angle of 170° is the smallest, and the position determined by the angle and the radius RB is the measurement generation position. The device identification unit 29 described later can be used to process that there is an abnormal sound generating device at or near the measurement generation position. Figure 7 In the example shown in (b), IA becomes minimum near the angle 220°, but the minimum value of IA is larger than the minimum value of IB. Therefore, it can be processed as if there is no abnormal sound generating device at the position determined by the radius RA near the angle 220°. However, this position can be further diagnosed as a position where there may be an abnormal sound generating device.

[0061] The device determination unit 29 determines the abnormal sound generating device that causes the abnormal sound based on the above-mentioned measured generating position and the device configuration data. The device configuration data used by the device determination unit 29 is the device configuration data at the lifting position (height) of the passenger car 1 where the sound pressure peak of the above-mentioned sound pressure measurement data or the sound pressure peak of the above-mentioned measured spectrum appears. The device configuration data can be stored in the device configuration database 17 described later. The device configuration data can be pre-stored in the device configuration database 17 for each lifting position of the passenger car 1. The device determination unit 29 determines one device configuration data at the lifting position of the passenger car 1 where the sound pressure peak appears from the multiple device configuration data stored in the device configuration database 17. The device determination unit 29 determines the lifting position of the passenger car 1 where the sound pressure peak appears based on the lifting position data of the passenger car 1 obtained by the car position acquisition unit 30 described later.

[0062] The control device (not shown) for controlling the lifting operation of the passenger car 1 has lifting position data indicating the relationship between the lifting position and time of the passenger car 1. If the lifting position data is used, the lifting position of the passenger car 1 at the time when the sound pressure peak occurs can be determined. At this time, since there are multiple sound pressure peaks corresponding to each sound sensor 11 to 14, the lifting position of the passenger car 1 can be determined using the average value of the time at each sound pressure peak, or the lifting position of the passenger car 1 can be determined using the time at the maximum sound pressure peak. The lifting position of the passenger car 1 can be obtained by the car position acquisition unit 30 described later. The device determination unit 29 obtains the device configuration data at the lifting position closest to the lifting position of the passenger car 1 at the time when the sound pressure peak occurs from the multiple device configuration data stored in the device configuration database 17 described later.

[0063] The device configuration data may have, for example, Figure 8 to Figure 10 The data structure is as shown in Figure 8 to Figure 10 , a schematic example of equipment configuration data at three lifting positions of the passenger car 1 is shown. For example, Figure 8 (a) shows an example of equipment arrangement at the upper part of the hoistway 2. Figure 8 (b) is an example of its device configuration data. Figure 8 As shown in FIG. 2( a ), a first wall surface device 7A and a second wall surface device 7B are provided on the upper wall surface 2 a of the hoistway 2 . Fig. 9 (a) shows an example of equipment arrangement in the central part of the hoistway 2. Fig. 9 (b) is its device configuration data. Fig. 9 As shown in FIG. 2( a ), a third wall surface device 7C and a fourth wall surface device 7D are provided on the wall surface 2 a in the center portion of the hoistway 2 . Fig.10 (a) shows the equipment configuration at the bottom of the shaft 2. Fig.10 (b) is its device configuration data. Fig.10 As shown in (a), the fifth wall surface equipment 7E, the sixth wall surface equipment 7F and the seventh wall surface equipment 7G are provided on the wall surface 2a of the lower part of the hoistway 2. Thus, the angle and radius relative to the reference point SP are associated with each of the car equipments 6A to 6C and each of the wall equipments 7A to 7G.

[0064] The device identification unit 29 identifies the device located closest to the measured generation position among the car devices 6A to 6C installed on the upper surface of the passenger car 1 and the wall devices 7A to 7G installed on the wall surface 2a of the hoistway 2 as the abnormal sound generating device. Figure 7 As shown in (b), IB becomes the minimum value near the angle 170°, and Fig.10 When a sound pressure peak appears at the elevation position of the passenger car 1 corresponding to (a), the seventh wall surface device 7G is identified as an abnormal sound generating device.

[0065] As described above, the equipment configuration data includes car equipment 6A to 6C provided on the upper surface of the passenger car 1 and wall equipment 7A to 7E provided on the shaft 2. The car equipment 6A to 6C is a device that is present on the upper surface of the passenger car 1 and may become an abnormal sound generating device. In addition to the car equipment 6A to 6C, the guide rollers 4A, 4B and the pulleys 5A, 5B described above may also be included in the equipment configuration data as devices that are present on the upper surface of the passenger car 1 and may become abnormal sound generating devices. The wall equipment 7A to 7E is a device that is present on the wall 2a of the shaft 2 and may become an abnormal sound generating device. As the wall equipment 7A to 7E, wall equipment that is located within the lifting range of the upper surface of the passenger car 1 and may generate abnormal sounds can be listed. As such wall equipment, for example, the guide rails 3A, 3B described above, the control panel, the landing doors (not shown) located on each floor, etc. can be listed, but it is not limited to these. In the abnormal sound diagnostic system 10 of the present embodiment, it is possible to identify the abnormal sound generating device from among such various devices.

[0066] The car position acquisition unit 30 acquires the lifting position data of the car 1 from the control device that controls the lifting operation of the car 1. The acquired lifting position data of the car 1 is used in the device identification unit 29 described above.

[0067] The device replacement determination unit 31 determines whether the abnormal sound generating device determined by the above-mentioned device determination unit 29 should be replaced. The device replacement determination unit 31 can determine whether the abnormal sound generating device should be replaced based on the size of the sound pressure of the abnormal sound generated from the abnormal sound generating device or the size of the deviation of the peak frequency of the abnormal sound. In the case where the above-mentioned first abnormal sound determination unit 23 determines that an abnormal sound has been generated, the device replacement determination unit 31 can determine that the abnormal sound generating device should be replaced when the above-mentioned sound pressure peak difference ΔP is greater than the predetermined third threshold. The third threshold may be greater than the above-mentioned first threshold. Alternatively, in the case where the above-mentioned second abnormal sound determination unit 26 determines that an abnormal sound has been generated, the device replacement determination unit 31 can determine that the abnormal sound generating device should be replaced when the above-mentioned peak frequency difference Δf is greater than the predetermined fourth threshold. The fourth threshold may be greater than the above-mentioned second threshold.

[0068] The information recording unit 32 may record the information of the abnormal sound generating device determined by the device determining unit 29 and the replacement determination result of the abnormal sound generating device determined by the device replacement determination unit 31, when it is determined that an abnormal sound is generated and it is determined that the abnormal sound generating device should not be replaced. The information of the abnormal sound generating device and the replacement determination result may be recorded in a database (not shown) outside the diagnostic device 20, or in a memory (not shown) within the diagnostic device 20. In addition, when it is determined by the first abnormal sound determination unit 23 and the second abnormal sound determination unit 26 that no abnormal sound is generated, the information recording unit 32 may record each sound pressure measurement data created by the sound pressure data creation unit 22 and each measurement spectrogram created by the spectrogram creation unit 25 in the sound database 15.

[0069] The sound database 15 stores the above-mentioned multiple sound pressure reference data. The sound pressure reference data may be sound pressure data in normal conditions. For example, the sound pressure reference data may be sound pressure data in a mode in which the passenger car 1 is lifted and lowered from the lowest floor to the highest floor without stopping. The multiple sound pressure reference data stored in the sound database 15 correspond to each sound pressure measurement data. Moreover, the sound database 15 may store multiple sound pressure reference data in a manner corresponding to any lifting mode of the passenger car 1. In this case, the sound pressure reference data of the lifting mode corresponding to the lifting mode of the passenger car 1 during 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 lifting modes and to each sound sensor 11 to 14.

[0070] Furthermore, the sound database 15 may store various sound pressure measurement data created until the last diagnosis when it was determined that no abnormal sound was generated as sound pressure reference data. These sound pressure reference data may be used for comparison with the sound pressure measurement data by the first abnormal sound determination unit 23. In this case, it is possible to confirm changes in the sound pressure data since the last diagnosis, for example, whether the sound pressure has an increasing tendency, etc.

[0071] In addition, the sound database 15 stores the above-mentioned multiple reference spectra. The reference spectra may be a normal spectra. For example, the reference spectra may be a spectra in a mode in which the passenger car 1 is lifted and lowered from the lowest floor to the highest floor without stopping. The multiple reference spectra stored in the sound database 15 correspond to each measured spectra. Moreover, the sound database 15 may store multiple reference spectra in a manner corresponding to any lifting mode of the passenger car 1. In this case, the reference spectra of the lifting mode corresponding to the lifting mode of the passenger car 1 during diagnosis may be used in the second abnormal sound determination unit 26. The multiple reference spectra stored in the sound database 15 may correspond to multiple lifting modes and to each sound sensor 11 to 14.

[0072] Furthermore, the sound database 15 can store the measured spectrograms created when it was determined that no abnormal sound was generated until the last diagnosis as reference spectrograms. These reference spectrograms can be used for comparison with the measured spectrograms by the second abnormal sound determination unit 26. In this case, it is possible to confirm the changes in the spectrograms since the last diagnosis, such as whether there is a tendency for the frequency to increase.

[0073] The time difference database 16 stores the above-mentioned plurality of reference time differences ΔtA 21j , ΔtA 31j , ΔtA 41j The difference from the reference time is ΔtB 21j , ΔtB 31j , ΔtB 41j .

[0074] The equipment configuration database 17 stores the above-mentioned multiple equipment configuration data. In the equipment configuration database 17, equipment configuration data at multiple lifting positions can be stored. The equipment configuration data stored in the equipment configuration database 17 can be, for example, Figure 8 (b) Fig. 9 (b) and Fig.10 The number of device configuration data stored in the device configuration database 17 is not limited to three, and a large number of device configuration data may be stored in the device configuration database 17 by subdividing the device configuration data into ascending and descending ranges.

[0075] The display unit 18 can display the abnormal sound generating device identified by the device identifying unit 29. The display unit 18 can obtain information about the abnormal sound generating device from the device identifying unit 29 via the communication unit 21. The display unit 18 can display the replacement determination result of the abnormal sound generating device obtained by the device replacement determination unit 31. When the determination result that the abnormal sound generating device should be replaced is displayed, the replacement operation of the abnormal sound generating device can be performed.

[0076] use Fig.11 The operation of this embodiment including such a configuration, that is, the abnormal sound diagnosis method of an elevator will be described.

[0077] First, as step S1, the car 1 is raised and lowered, and the sound sensors 11 to 14 measure the sound. The raising and lowering pattern of the car 1 may be a raising and lowering pattern corresponding to the reference sound pressure data recorded in the sound database 15. For example, the car 1 may be raised from the lowest floor to the highest floor without stopping.

[0078] After step S1, in step S2, the sound pressure data creating unit 22 creates sound pressure measurement data based on the sounds measured by the sound sensors 11 to 14. In the present embodiment, four sound pressure measurement data are created.

[0079] After step S2, as step S3, the first abnormal sound determination unit 23 determines whether an abnormal sound has occurred based on each sound pressure measurement data. More specifically, the first abnormal sound determination unit 23 obtains the sound pressure reference data corresponding to the lifting mode of the passenger car 1 from the sound database 15. And the first abnormal sound determination unit 23 determines whether an abnormal sound has occurred by comparing the sound pressure peak value of the corresponding sound pressure reference data with the sound pressure peak value of the sound pressure measurement data (refer to Figure 4 (a)). In the present embodiment, when the sound pressure peak difference ΔP for at least one piece of sound pressure measurement data is equal to or greater than the first threshold value, it can be determined that an abnormal sound has occurred.

[0080] 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 peaks of the respective sound pressure measurement data appear as the measurement time difference (see Figure 4 (b)). In this embodiment, the above-mentioned measurement time difference Δt is calculated. 21i , Δt 31i , Δt 41i .

[0081] If it is determined in step S3 that no abnormal sound has been generated, the spectrogram creation unit 25 creates a measurement spectrogram based on the above-mentioned sound pressure measurement data in step S5. In the present embodiment, four measurement spectrograms are created.

[0082] After step S5, as step S6, the second abnormal sound determination unit 26 determines whether an abnormal sound has occurred based on each measured spectrogram. More specifically, the second abnormal sound determination unit 26 obtains a reference spectrogram corresponding to the lifting mode of the passenger car 1 from the sound database 15. Furthermore, the second abnormal sound determination unit 26 determines whether an abnormal sound has occurred by comparing the peak frequency of the reference spectrogram with the peak frequency of the measured spectrogram (refer to Figure 5 (a)). In this embodiment, when the absolute value of the peak frequency difference Δf of at least one measured spectrum is equal to or greater than the second threshold value, it can be determined that an abnormal sound has occurred.

[0083] 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 when the sound pressure peaks of the respective measurement spectrograms appear as the measurement time difference (refer to Figure 5 (b)). In this embodiment, the above-mentioned measurement time difference Δt is calculated. 21i , Δt 31i , Δt 41i .

[0084] When it is determined in step S6 that no abnormal sound has been generated, the process proceeds to step S12 described later.

[0085] 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 to 14 as the measured generation position based on the measurement time difference. If it is determined in step S3 that an abnormal sound has been generated, 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 been generated, the position calculation unit 28 uses the measurement time difference calculated in step S7. The position calculation unit 28 calculates the measurement time difference Δt 21i , Δt 31i , Δt 41i Substitute the above equation (1) and substitute the above reference time difference ΔtA for each angle 21j , ΔtA 31j , ΔtA 41j IA is calculated for each angle. In addition, the position calculation unit 28 measures the time difference Δt 21i , Δt 31i , Δt 41iSubstitute the above equation (2) and substitute the above reference time difference ΔtB for each angle 21j , ΔtB 31j , ΔtB 41j , IB is calculated for each angle. The measurement generation position is calculated as the position where the median value of IA and IB becomes the minimum.

[0086] After step S8, as step S9, the device identification unit 29 identifies the abnormal sound generating device that caused the abnormal sound based on the measured generating position and the device configuration data. More specifically, the lifting position of the passenger car 1 is acquired by the above-mentioned car position acquisition unit 30. Next, the lifting position of the passenger car 1 at the time when the sound pressure peak occurs is determined, and the device configuration data at the lifting position is acquired from the device configuration database 17. Thereafter, from the device configuration database 17, the device located closest to the measured generating position is determined as the abnormal sound generating device.

[0087] After step S9, as step S10, the device replacement determination unit 31 determines whether the abnormal sound generating device should be replaced. If it is determined in step S3 that an abnormal sound is generated, it can be determined that the abnormal sound generating device should be replaced when the sound pressure peak difference ΔP is greater than the third threshold value. If it is determined in step S6 that an abnormal sound is generated, it can be determined that the abnormal sound generating device should be replaced when the peak frequency difference Δf is greater than the fourth threshold value.

[0088] If it is determined in step S10 that the abnormal sound generating device should be replaced, in step S11, the display unit 18 displays information about the abnormal sound generating device and the replacement determination result of the abnormal sound generating device. The operator who sees the display can perform the replacement operation of the abnormal sound generating device. After step S11, the abnormal sound diagnosis method of this embodiment can be terminated.

[0089] If it is determined in step S10 that the abnormal sound generating device should not be replaced, in step S12, the information is recorded by the information recording unit 32. More specifically, if it is determined in the above-mentioned step S3 or step S6 that an abnormal sound is generated, the information recording unit 32 records the information of the abnormal sound generating device and the replacement determination result of the abnormal sound generating device in a database not shown, etc. If it is determined in step S6 that no abnormal sound is generated, the information recording unit 32 records the above-mentioned various sound pressure measurement data and various measurement spectra in the sound database 15. After step S12, the abnormal sound diagnosis method of this embodiment can be ended.

[0090] Thus, according to the present embodiment, when it is determined that an abnormal sound has been generated based on the sound pressure measurement data created by the measurement of each sound sensor 11 to 14, the time difference at the time when the sound pressure peak of each sound pressure measurement data appears is calculated as the measurement time difference. Based on the measurement time difference, the generation position of the abnormal sound relative to the reference point SP in the upper surface of the passenger car 1 is calculated as the measurement generation position, and the abnormal sound generation device that causes the abnormal sound is determined based on the measurement generation position and the device configuration data at the lifting position of the passenger car 1 where the sound pressure peak appears. Thus, the abnormal sound generation device can be determined with a simple and simple structure. Therefore, the abnormal sound of the elevator can be diagnosed at a low price with a simple and simple structure. In addition, since the position where the abnormal sound is generated can be determined, the candidate range of the abnormal sound generation device can be easily narrowed, the determination of the abnormal sound generation device can be made easy, and the reliability can be improved.

[0091] In addition, according to the present embodiment, the measurement generation position is determined by the direction relative to the reference point and the distance from the reference point. Thus, the position where the abnormality occurs can be determined as coordinates. Therefore, the candidate range of the abnormal sound generating device can be easily narrowed, the determination of the abnormal sound generating device can be made easy, and the reliability can be improved.

[0092] In addition, according to the present embodiment, the position calculation unit 28 calculates the generation position of the abnormal sound, that is, the measured generation position, using the time difference, that is, the reference time difference, when the sound generated at a certain generation position relative to the reference point SP reaches each sound sensor 11 to 14. As a result, the measured generation position can be easily calculated, and the structure of the position calculation unit 28 can be simplified and constructed at a low price. In particular, according to the present embodiment, the position calculation unit 28 calculates the measured generation position by calculating the square root of the sum of the squares of the differences between the reference time difference and the measured time difference. As a result, the measured generation position can be easily calculated.

[0093] In addition, according to the present embodiment, the position calculation unit uses the reference time difference when the virtual sound source is arranged on a plurality of circles CA and CB relative to the reference point SP, and calculates the square root of the sum of squares for each circle CA and CB. Thus, the position calculation unit 28 can determine the radial position relative to the reference point SP as the position of the abnormal sound generating device. Therefore, the generating position can be easily calculated and measured.

[0094] In addition, according to the present embodiment, the device configuration data for each lifting position of the car 1 is stored in the device configuration database 17. The device identification unit 29 identifies one device configuration data at the lifting position of the car 1 where the sound pressure peak occurs from the plurality of device configuration data stored in the device configuration database 17. Thus, the device generating device of the abnormal sound can be identified using the device configuration data at the lifting position of the car 1 when the abnormal sound is generated. Therefore, the structure of the device identification unit 29 can be simplified and can be configured at a low price.

[0095] In addition, according to the present embodiment, the first abnormal sound determination unit 23 determines whether an abnormal sound has occurred by comparing the sound pressure peak value of the pre-stored sound pressure reference data with the sound pressure peak value of the sound pressure measurement data. Thus, it is possible to determine whether an abnormal sound has occurred based on the sound pressure peak value of the sound pressure measurement data. Therefore, it is possible to easily determine whether an abnormal sound has occurred, and the structure of the first abnormal sound determination unit 23 can be simplified and can be constructed at a low price.

[0096] In addition, according to the present embodiment, when it is determined by the first abnormal sound determination unit 23 that no abnormal sound is generated, the second abnormal sound determination unit 26 determines whether an abnormal sound is generated based on the measurement spectrogram obtained according to each sound pressure measurement data. When the second abnormal sound determination unit 26 determines that an abnormal sound is generated, the time difference at the time when the sound pressure peak of each measurement spectrogram appears is calculated as the measurement time difference. Thus, even in the case where it is determined that no abnormal sound is generated by the determination based on the sound pressure measurement data, the measurement time difference can be calculated when the abnormal sound is generated based on the determination of the measurement spectrogram. Based on the calculated measurement time difference, the above-mentioned measurement generation position is calculated, and the abnormal sound generating device can be determined. Therefore, the second abnormal sound determination unit 26 can determine whether an abnormal sound is generated from a different point of view from the first abnormal sound determination unit 23, and can improve the accuracy of determining whether an abnormal sound is generated.

[0097] In addition, according to the present embodiment, the second abnormal sound determination unit 26 determines whether an abnormal sound has occurred by comparing the peak frequency corresponding to the sound pressure peak of the pre-stored reference spectrogram with the peak frequency corresponding to the sound pressure peak of the measured spectrogram. Thus, it is possible to determine whether an abnormal sound has occurred based on the sound pressure peak of the measured spectrogram. Therefore, it is possible to determine whether an abnormal sound has occurred based on the presence or absence of a frequency shift.

[0098] In addition, according to the present embodiment, the device replacement determination unit 31 determines whether the abnormal sound generating device identified by the device identification unit 29 should be replaced. Thus, the operator can easily recognize whether the abnormal sound generating device should be replaced. Therefore, when it is determined that the abnormal sound generating device should be replaced, the abnormal sound generating device can be quickly replaced, and the safety and reliability of the elevator device can be improved.

[0099] In addition, in the above-mentioned present embodiment, an example of using four sound sensors 11 to 14 to perform abnormal sound diagnosis is described. However, the present embodiment is not limited to this. It is also possible to use any number of sound sensors more than two to perform abnormal sound diagnosis. In this case, the above-mentioned formula (1) is corrected to a formula corresponding to the number of sound sensors.

[0100] (Second embodiment)

[0101] Next, use Fig.12 An abnormal sound diagnostic system and an abnormal sound diagnostic method for an elevator according to a second embodiment will be described.

[0102] exist Fig.12 The second embodiment shown in the figure mainly differs in that the direction of the sound sensor can be changed, and the other components are the same as those of the embodiment shown in the figure. Figures 1 to 11 The first embodiment shown is substantially the same. Fig.12 In Figures 1 to 11 The same parts as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof will be omitted.

[0103] like Fig.12 As shown, the abnormal sound diagnostic system 10 of the present embodiment may further include a sensor driving unit 19 capable of changing the orientation of the sound sensors 11 to 14 and a sensor driving control unit 33 for controlling the sensor driving unit 19. The sound sensors 11 to 14 of the present embodiment each have directivity.

[0104] The sensor driving unit 19 is fixed to the upper surface of the passenger car 1. Four sensor driving units 19 are fixed to the upper surface of the passenger car 1 for changing the orientation of the corresponding sound sensors 11 to 14. For example, the sensor driving unit 19 can be fixed to an upper beam located on the upper surface of the passenger car 1 using a magnetic force. The sound sensors 11 to 14 can be fixed to the sensor driving unit 19. For example, the sensor driving unit 19 can 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 sent from the sensor driving control unit 33. The sensor driving control unit 33 can be configured in the diagnostic device 20.

[0105] Thus, according to the present embodiment, the orientation of the sound sensors 11 to 14 can be changed by the sensor driving unit 19. Thus, the sound sensors 11 to 14 can be directed toward a device that is expected to generate abnormal sounds. Therefore, the accuracy of sound measurement can be improved, and the accuracy of abnormal sound diagnosis can be improved. In addition, each sound sensor 11 to 14 can be directed toward different directions. In this case, sounds from multiple directions can be measured with good accuracy, and the accuracy of abnormal sound diagnosis can be improved.

[0106] According to the above-described embodiment, abnormal sounds of an elevator can be diagnosed at a low cost with a simple structure.

[0107] Several embodiments of the present invention have been described, but these embodiments are presented as examples and are not intended to limit the scope of the invention. These new embodiments can be implemented in various other ways, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. These embodiments and their variations are included in the scope and gist of the invention, and are included in the invention described in the claims and the scope of their equivalents.

Claims

1. An abnormal sound diagnosis system for an elevator, comprising: Two or more sound sensors are arranged on the upper surface of the passenger car to measure the sound generated when the passenger car is raised or lowered; a first abnormal sound determination unit that determines whether an abnormal sound has occurred based on sound pressure measurement data created by measurements of each of the sound sensors; a first time difference calculation unit for calculating, when the first abnormal sound determination unit determines that an abnormal sound has occurred, a time difference between times when sound pressure peaks of each of the sound pressure measurement data appear as a measurement time difference; a position calculation unit that calculates, based on the measurement time difference, a generation position of the abnormal sound relative to a reference point on the upper surface of the passenger car as a measurement generation position; as well as A device identification unit identifies an abnormal sound generating device that causes the abnormal sound based on the measured generation position and device arrangement data at the raising and lowering position of the passenger car where the sound pressure peak occurs.

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

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

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

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

6. The abnormal sound diagnosis system for an elevator according to claim 1 or 2, It also includes an equipment configuration database, wherein the equipment configuration database stores equipment configuration data for each lifting position of the passenger car. The device identification unit identifies one piece of device configuration data at a raising / lowering position of the passenger car where the sound pressure peak occurs, from among the plurality of device configuration data stored in the device configuration database.

7. The abnormal sound diagnosis system for an elevator according to claim 1 or 2, The first abnormal sound determination unit determines whether an abnormal sound has occurred by comparing a sound pressure peak value of sound pressure reference data stored in advance with the sound pressure peak value of the sound pressure measurement data.

8. The abnormal sound diagnostic system for an elevator according to claim 1 or 2, further comprising: a second abnormal sound determination unit that determines whether an abnormal sound has been generated based on a measurement spectrum obtained from each of the sound pressure measurement data, when the first abnormal sound determination unit determines that no abnormal sound has been generated; and A second time difference calculation unit calculates a time difference between times at which sound pressure peaks of the respective measurement spectra appear as the measurement time difference when the second abnormal sound determination unit determines that an abnormal sound has been generated.

9. The abnormal sound diagnosis system for an elevator according to claim 8, The second abnormal sound determination unit determines whether an abnormal sound has occurred by comparing a peak frequency of a pre-stored reference spectrogram with a peak frequency of the measurement spectrogram.

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

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

12. A method for diagnosing abnormal sound of an elevator, comprising the following steps: Measuring the sound generated during the lifting of the passenger car by two or more sound sensors disposed on the upper surface of the passenger car; determining whether an abnormal sound has been generated based on sound pressure measurement data created by measurements of each of the sound sensors; When it is determined that an abnormal sound has been generated, calculating a time difference between times when sound pressure peaks of each of the sound pressure measurement data appear as a measurement time difference; calculating, based on the measurement time difference, a generation position of the abnormal sound relative to a reference point on the upper surface of the passenger car as a measurement generation position; and The abnormal sound generating device causing the abnormal sound is identified based on the measured generation position and the device arrangement data at the raising and lowering position of the passenger car where the sound pressure peak occurs.

Images