Elevator abnormality diagnosis system

JP7632770B2Active Publication Date: 2025-02-19MITSUBISHI ELECTRIC BUILDING SOLUTIONS CORP
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Patent Information

Application Number
JP2024542491
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-08-24
Publication Date
2025-02-19
Estimated Expiration
2042-08-24

AI Technical Summary

Benefits of technology

【0008】 本開示のエレベーターの異常診断システムによれば、エレベーターの変調が検出された場合において、エレベーターが正常である場合、複数の診断時間帯のそれぞれにおいて測定された暗騒音に基づいて、診断条件の診断時間帯が変更される。これにより、エレベーターの異常診断において、外乱音の影響による診断精度の低下を抑制することが可能となる。

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Abstract

Provided is an abnormality diagnosis system for detecting abnormal noise or abnormal vibration of an elevator, the abnormality diagnosis system comprising a microphone that collects sound inside a car, an operation control unit that causes the car to move in accordance with a diagnosis pattern when specific diagnosis conditions are met, and an abnormality detection unit that detects an irregularity of the elevator while the car is moving in accordance with the diagnosis pattern. The diagnosis conditions include a diagnosis time period during which the diagnosis is performed. The abnormality diagnosis system also comprises a condition changing unit that measures background noise using the microphone in each of a plurality of diagnosis time periods and changes the diagnosis time period in the diagnosis conditions on the basis of the measured background noise, if the abnormality detection unit detects an irregularity but the elevator is normal.
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Description

[Technical field]

[0001] The present disclosure relates to an elevator abnormality diagnosis system. [Background technology]

[0002] Patent Document 1 discloses a technology related to an elevator inspection device. In this technology, a microphone installed in the elevator car collects the operation sound signal of the elevator during inspection operation, and stores it in association with the car's position data. The amplitude of the operation sound signal is then compared with a limit set amplitude value to determine whether it is abnormal sound data. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 7-228443 Summary of the Invention [Problem to be solved by the invention]

[0004] Depending on the time of the inspection operation, the accuracy of the abnormality diagnosis may be reduced due to the influence of disturbance sounds. The technology of Patent Document 1 does not consider reducing the influence of disturbance sounds, and there is still room for improvement.

[0005] The present disclosure has been made to solve the above-mentioned problems, and aims to provide a technology that is advantageous in suppressing a decrease in diagnostic accuracy due to the influence of external noise. [Means for solving the problem]

[0006] The elevator abnormality diagnosis system disclosed herein is an abnormality diagnosis system that detects abnormal sounds or abnormal vibrations in an elevator, and includes a microphone that collects sounds inside the elevator car, an operation control unit that moves the car in accordance with a diagnosis pattern when a specific diagnosis condition is met, and an abnormality detection unit that detects elevator modulation while moving the car in accordance with the diagnosis pattern. The diagnosis conditions include a diagnosis time period during which diagnosis is performed. If the abnormality detection unit detects modulation and the elevator is normal, the abnormality diagnosis system includes a condition change unit that measures background noise using the microphone in each of a plurality of diagnosis time periods and changes the diagnosis time period of the diagnosis conditions based on the measured background noise.

[0007] The elevator abnormality diagnosis system disclosed herein is an abnormality diagnosis system that detects abnormal sounds or abnormal vibrations in an elevator, and includes a microphone that collects sounds inside the elevator car, an operation control unit that moves the car in accordance with a diagnostic pattern when a specific diagnostic condition is met, a memory unit that stores a sound pressure reference value for determining elevator modulation, a sound pressure calculation unit that calculates sound pressure data of the sound collected by the microphone while the car is moving in accordance with the diagnostic pattern, an abnormality detection unit that detects elevator modulation based on the sound pressure data and the sound pressure reference value stored in the memory unit, and a reference value change unit that changes the sound pressure reference value in a direction to increase if the abnormality detection unit detects modulation and the elevator is normal. A communication unit that communicates with an external device of the elevator; Equipped with. The communication unit is configured to transmit modulation information including the detection of elevator modulation to an external device when the abnormality detection unit detects consecutive reference number modulations, and to receive from the external device the results of the elevator diagnosis by a maintenance technician, and the reference value change unit is configured to change the sound pressure reference value in a direction increasing when the diagnosis results are normal. Effect of the Invention

[0008] According to the elevator abnormality diagnosis system of the present disclosure, when elevator modulation is detected and the elevator is normal, the diagnosis time period of the diagnosis conditions is changed based on the background noise measured in each of the multiple diagnosis time periods. This makes it possible to suppress a decrease in diagnostic accuracy due to the influence of disturbance sounds in elevator abnormality diagnosis.

[0009] Furthermore, according to the elevator abnormality diagnosis system of the present disclosure, when elevator modulation is detected and the elevator is normal, the sound pressure reference value used to determine the modulation is changed, which makes it possible to suppress a decrease in diagnostic accuracy due to the influence of disturbance sounds in elevator abnormality diagnosis. [Brief description of the drawings]

[0010] [Figure 1] 1 is a block diagram showing an example of the configuration of an elevator abnormality diagnosis system according to an embodiment of the present invention. FIG. [Diagram 2] 4 is a flowchart showing an abnormality diagnosis processing routine executed by the control device 10. [Diagram 3] 4 is a flowchart showing a specific procedure of a diagnostic condition change process executed by the control device 10. [Figure 4] 5 is a flowchart showing a specific procedure of a sound pressure reference value change process executed by the control device 10. [Diagram 5] 4 is a flowchart showing an abnormality diagnosis processing routine executed by the control device 10. [Figure 6] 4 is a flowchart showing a specific procedure of an acceleration reference value change process executed by the control device 10. [Figure 7] FIG. 2 is a diagram illustrating an example of hardware resources of the abnormality diagnosis system 100. [Figure 8] 13 is a diagram illustrating another example of hardware resources of the abnormality diagnosis system 100. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Hereinafter, an embodiment will be described with reference to the drawings. In addition, elements common to the various drawings are given the same reference numerals, and duplicated explanations will be omitted.

[0012] Embodiment 1. Configuration of elevator abnormality diagnosis system FIG. 1 is a block diagram showing an example of the configuration of an elevator abnormality diagnosis system according to the present embodiment. The elevator abnormality diagnosis system 100 is a system that detects abnormal sounds or abnormal vibrations in an elevator. The abnormality diagnosis system 100 includes a control device 10, a microphone 12, and a speedometer 14. The microphone 12 is installed in the elevator car. The microphone 12 is, for example, an intercom microphone installed in the car. A sound signal measured by the microphone 12 is sent to the control device 10. The speedometer 14 is installed in the elevator car. The speedometer 14 measures the speed of the car. A speed signal measured by the speedometer 14 is sent to the control device 10.

[0013] The control device 10 controls the operation of the elevator. That is, the movement of the elevator car is controlled by the control device 10. There is no limitation on the installation location of the control device 10. The control device 10 is installed, for example, in a machine room above the elevator shaft. Alternatively, the control device 10 may be installed in the elevator shaft. The control device 10 has a function of communicating with external devices. For example, the control device 10 is connected to a remote information center via a network. The external devices include a management server provided in the information center. The external devices also include a mobile terminal for maintenance. The mobile terminal is owned by a maintenance worker for the elevator. For example, the maintenance worker uses the mobile terminal to perform maintenance work on the elevator. Alternatively, the maintenance worker performs maintenance work remotely from the information center.

[0014] The control device 10 has a function of diagnosing an abnormality in the elevator. Specifically, the control device 10 has a sound pressure calculation unit 20, an acceleration calculation unit 22, a memory unit 24, a condition determination unit 26, an abnormality detection unit 28, a communication unit 30, an operation control unit 32, and a condition change unit 34. The sound pressure calculation unit 20 is a functional block for calculating sound pressure data based on a sound signal measured by the microphone 12. The acceleration calculation unit 22 is a functional block for calculating acceleration data of the car based on a speed signal measured by the speedometer 14.

[0015] The memory unit 24 is a functional block for storing various data processed in the elevator abnormality diagnosis. The memory unit 24 stores sound pressure data, acceleration data, a sound pressure reference value, an acceleration reference value, and diagnostic conditions. The sound pressure reference value is a judgment reference value for judging whether the sound pressure data detected by the microphone 12 at the time of abnormality diagnosis is within a normal range. The sound pressure reference value may be a constant value, or may be a value associated with each diagnosis time or car position. The acceleration reference value is a judgment reference value for judging whether the acceleration data detected by the speedometer 14 is within a normal range. The diagnostic conditions include a diagnostic time period. The diagnostic time period includes the start time of diagnosis and its frequency, for example, 0:00 AM every day, 3:00 AM every Monday, etc.

[0016] The condition determination unit 26 is a functional block for determining whether or not a diagnostic condition for performing an abnormality diagnosis is satisfied. The abnormality detection unit 28 is a functional block for determining whether or not a modulation is detected in the elevator. The communication unit 30 is a functional block for the control device 10 to transmit and receive data to and from external devices. The operation control unit 32 is a functional block for controlling the operation of the elevator car. The operation control unit 32 moves the car according to, for example, a specific diagnostic pattern. The diagnostic pattern here is, for example, a pattern in which the car moves back and forth from the lowest floor to the top floor.

[0017] The condition change unit 34 is a functional block for changing the diagnostic conditions. The reference value change unit 36 ​​is a functional block for changing the judgment reference value. The condition change unit 34 and the reference value change unit are essential parts of the abnormality diagnosis system 100 of the present disclosure, and therefore will be described in detail later.

[0018] 2. First embodiment of operation of elevator abnormality diagnosis system 100 Next, a first embodiment of the operation executed in the elevator abnormality diagnosis system 100 will be described.

[0019] 2-1. Abnormality diagnosis processing The control device 10 executes an abnormality diagnosis process when a specific diagnosis condition is met. In the abnormality diagnosis process, when the sound pressure of the sound inside the car collected by the microphone 12 exceeds a sound pressure reference value, elevator modulation is detected. The specific process of the abnormality diagnosis process will be described below.

[0020] Fig. 2 is a flowchart showing a routine of abnormality diagnosis processing executed by the control device 10. In step S100 of the routine shown in Fig. 2, the condition determination unit 26 determines whether a specific diagnosis condition is satisfied. The diagnosis conditions here include that the elevator is not in use during the current time period, and that the current time period is a diagnosis time period. As a result, if the determination is not satisfied, the processing of this routine is terminated, and if the determination is satisfied, the processing proceeds to step S102.

[0021] In step S102, the operation control unit 32 executes a diagnostic operation in which the car is moved according to a specific diagnostic pattern. In step S104, while the car is moving by the diagnostic operation, the microphone 12 measures the sound inside the car. The detected sound signal is sent to the sound pressure calculation unit 20. In step S106, sound pressure data during the diagnostic operation is calculated from the received sound signal.

[0022] In step S108, the abnormality detection unit 28 reads the sound pressure reference value stored in the storage unit 24. Then, in step S110, the abnormality detection unit 28 compares the sound pressure data with the sound pressure reference value to determine whether or not elevator modulation has been detected. Here, if the sound pressure data is greater than the sound pressure reference value, the abnormality detection unit 28 determines that elevator modulation has been detected, and the process proceeds to step S112. On the other hand, if the sound pressure data is equal to or less than the sound pressure reference value, it determines that elevator modulation has not been detected, and the process proceeds to step S118.

[0023] In step S112, the abnormality detection unit 28 counts the modulation count, which indicates the number of times that modulation has been detected consecutively, by +1. In step S114, the abnormality detection unit 28 judges whether the modulation count has reached a reference count. The reference count here is a threshold value for judging the likelihood of modulation, and is, for example, 3 times. As a result, if the judgment is affirmative, the process proceeds to step S116, and if the judgment is negative, the present routine is terminated.

[0024] In step S116, the communication unit 30 reports the modulation information, including the fact that the modulation has been detected, to the information center. In step S118, the abnormality detection unit 28 resets the number of modulation occurrences to zero.

[0025] According to the above abnormality diagnosis process, an elevator abnormality can be diagnosed based on the sound inside the car measured by the microphone 12. In addition, when elevator modulation is detected a reference number of times in succession, a report is sent to the information center, thereby reducing the possibility of misdiagnosis.

[0026] 2-2. Diagnostic condition change processing In the above-mentioned abnormality diagnosis process, when elevator abnormality is reported to the information center, a maintenance worker remotely performs abnormality diagnosis from the information center. Specifically, the maintenance worker actually listens to the sounds collected during the diagnostic operation and checks whether there are any abnormal sounds. The diagnosis result by the maintenance worker is sent to the control device 10.

[0027] Here, if no abnormal sound is found in the diagnosis result by the maintenance staff, it is possible that the modulation was erroneously detected in the abnormality diagnosis process due to the influence of disturbance sound. Among the disturbance sounds, there are environmental sounds that occur in the same time period. Examples of environmental sounds that depend on such time periods include sounds from nearby construction sites and sounds from delivery vehicles passing in the early morning. It is desirable to eliminate the influence of such disturbance sounds as much as possible from the abnormality diagnosis process. Therefore, when the received diagnosis result by the maintenance staff indicates that the elevator is normal, the control device 10 executes a diagnosis condition change process that changes the diagnosis conditions of the abnormality diagnosis process. In the diagnosis condition change process, the control device 10 changes the diagnosis time period to a time period with less disturbance sound. Alternatively, in the diagnosis condition change process, the control device 10 executes a reference value change process that changes the sound pressure reference value to a higher value. Specific processes of the abnormality diagnosis process and the reference value change process will be described below.

[0028] Fig. 3 is a flowchart showing a specific procedure of the diagnosis condition change process executed by the control device 10. In step S130 of the flowchart shown in Fig. 3, the condition change unit 34 judges whether the diagnosis result by the maintenance person is normal. If the judgment is affirmative, the process proceeds to step S132, and if the judgment is negative, the process of this flowchart is terminated.

[0029] In step S132, the condition change unit 34 stops the elevator car at an intermediate floor and measures background noise for multiple time periods using the microphone 12. Here, for example, the background noise is measured once a day for each day of the week, shifting the time period by about 15 minutes, for the time period required for diagnostic operation. The measured background noise is stored in the memory unit 24 in association with the time period.

[0030] In step S134, the time period in which the sound pressure is the smallest is identified among the background noises in the multiple time periods measured in step S132. Then, in step S136, the condition change unit 34 changes the diagnostic time period of the diagnostic condition to the time period identified in the process of step S134.

[0031] According to the above-described diagnosis time change process, the diagnosis time is changed to a time period when background noise is at a minimum, thereby reducing erroneous diagnosis due to the influence of disturbance sounds in the abnormality diagnosis process.

[0032] 2-3. Sound pressure reference value change processing When the received diagnosis result by the maintenance worker indicates that the elevator is normal, the control device 10 may execute a sound pressure reference value change process to change the sound pressure reference value to a higher value. The specific process of the sound pressure reference value change process will be described below.

[0033] Fig. 4 is a flowchart showing a specific procedure of the sound pressure reference value changing process executed by the control device 10. In step S140 of the flowchart shown in Fig. 4, the condition changing unit 34 judges whether the diagnosis result by the maintenance person is normal or not. If the judgment is affirmative, the process proceeds to step S142, and if the judgment is negative, the process of this flowchart is terminated.

[0034] In step S142, the reference value modification unit 36 ​​modifies the sound pressure reference value to a value greater than the sound pressure data calculated in step S106 of the abnormality diagnosis process, or adds a predetermined additional value to the sound pressure reference value.

[0035] According to the above-described process for changing the reference sound pressure value, the reference sound pressure value changed to a larger value is used in the abnormality diagnosis process, so that erroneous diagnosis due to the influence of disturbance sound can be reduced.

[0036] 3. Second embodiment of operation of elevator abnormality diagnosis system 100 Next, a second embodiment of the operation executed in the elevator abnormality diagnosis system 100 will be described.

[0037] 3-1. Abnormality diagnosis processing In the abnormality diagnosis system 100 of the second embodiment, abnormality diagnosis is performed based on the acceleration of the car instead of abnormality diagnosis based on the sound inside the car. Specifically, when acceleration different from the normal acceleration pattern is detected, such as when the acceleration suddenly increases, there is a high possibility that some abnormality has occurred in the elevator. Therefore, the control device 10 executes abnormality diagnosis processing when a specific diagnosis condition is established. In the abnormality diagnosis processing, when the acceleration of the car measured by the speedometer 14 exceeds an acceleration reference value, elevator modulation is detected. Specific processing of the abnormality diagnosis processing will be described below.

[0038] 5 is a flowchart showing an abnormality diagnosis processing routine executed by the control device 10. In steps S150 and S152 of the routine shown in FIG 5, processing similar to steps S100 and S102 of the routine shown in FIG 2 is executed.

[0039] In step S154, while the car is moving due to the diagnostic operation, the speed of the car is detected by the speedometer 14. The detected speed signal is sent to the acceleration calculation unit 22. In step S156, acceleration data during the diagnostic operation is calculated from the received speed signal.

[0040] In step S158, the abnormality detection unit 28 reads the acceleration reference value stored in the storage unit 24. Then, in step S160, the abnormality detection unit 28 compares the acceleration data with the acceleration reference value to determine whether or not elevator modulation has been detected. Here, if the acceleration data is greater than the acceleration reference value, the abnormality detection unit 28 determines that elevator modulation has been detected, and the process proceeds to step S162. On the other hand, if the acceleration data is equal to or less than the acceleration reference value, it determines that elevator modulation has not been detected, and the process proceeds to step S168.

[0041] In step S162, the abnormality detection unit 28 counts the modulation count, which indicates the number of times modulation has been detected consecutively, by +1. In step S164, the abnormality detection unit 28 judges whether the modulation count has reached a reference count. The reference count here is a threshold for judging the likelihood of modulation, and is, for example, 3 times. As a result, if the judgment is affirmative, the process proceeds to step S166, and if the judgment is negative, the present routine is terminated.

[0042] In step S166, the communication unit 30 reports the modulation information, including the fact that the modulation has been detected, to the information center. In step S168, the abnormality detection unit 28 resets the number of modulation occurrences to zero.

[0043] According to the above abnormality diagnosis process, an elevator abnormality can be diagnosed based on the acceleration of the car detected by the speedometer 14. In addition, when elevator modulation is detected a reference number of times in succession, a report is sent to the information center, thereby reducing the possibility of misdiagnosis.

[0044] 3-2. Acceleration reference value change process In the above-mentioned abnormality diagnosis process, when an elevator abnormality is reported to an information center, a maintenance person remotely diagnoses the abnormality from the information center. If the diagnosis result by the maintenance person does not include any abnormal sound or vibration, it is possible that the abnormality diagnosis process erroneously detected a modulation in the acceleration change within the normal range. Therefore, when the diagnosis result received from the maintenance person indicates that the elevator is normal, the control device 10 executes an acceleration reference value change process to change the acceleration reference value to a higher value. The specific process of the acceleration reference value change process will be described below.

[0045] Fig. 6 is a flowchart showing a specific procedure of the acceleration reference value changing process executed by the control device 10. In step S170 of the flowchart shown in Fig. 6, the reference value changing unit 36 ​​judges whether the diagnosis result by the maintenance person is normal or not. If the judgment is affirmative, the process proceeds to step S172, and if the judgment is negative, the process of this flowchart is terminated.

[0046] In step S172, the reference value changing unit 36 ​​changes the acceleration reference value to a value greater than the acceleration data calculated in step S206 of the abnormality diagnosis process, or adds a predetermined additional value to the acceleration reference value.

[0047] According to the above-described acceleration reference value changing process, the acceleration reference value changed to a larger value is used in the abnormality diagnosis process, so that erroneous diagnosis can be reduced.

[0048] 4. Variations The abnormality diagnosis system 100 of this embodiment may be modified as follows.

[0049] 4-1. Hardware resources of the abnormality diagnosis system 100

[0050] 7 is a diagram showing an example of hardware resources of the abnormality diagnosis system 100. The control device 10 of the abnormality diagnosis system 100 includes, as hardware resources, a processing circuit 41 including a processor 42 and a memory 43. The processing circuit 41 may include multiple processors 42. The processing circuit 41 may include multiple memories 43.

[0051] In this embodiment, each of the parts indicated by the reference numerals 20 to 36 indicates a function possessed by the control device 10. The function of the storage unit 24 is realized by a memory 43. The functions of each of the parts indicated by the reference numerals 20 to 36 can be realized by software written as a program, firmware, or a combination of software and firmware. The program is stored in the memory 43. The control device 10 realizes the functions of each of the parts indicated by the reference numerals 20 to 36 by executing the program stored in the memory 43 by a processor 42 (computer).

[0052] The processor 42 is also called a CPU (Central Processing Unit), central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, or DSP. The memory 43 may be a semiconductor memory, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, or a DVD. Examples of semiconductor memories that can be used include RAM, ROM, flash memory, EPROM, and EEPROM.

[0053] Fig. 8 is a diagram showing another example of hardware resources of the abnormality diagnosis system 100. In the example shown in Fig. 8, the control device 10 includes a processing circuit 41 including a processor 42, a memory 43, and dedicated hardware 44. Fig. 8 shows an example in which some of the functions of the control device 10 are realized by the dedicated hardware 44. All of the functions of the control device 10 may be realized by the dedicated hardware 44. As the dedicated hardware 44, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination of these can be adopted.

[0054] 4-2. Abnormality diagnosis processing In the abnormality diagnosis process, the problematic disturbance sound may be cancelled out by using an antiphase sound. In this case, the process of cancelling the disturbance sound may be carried out in the process of step S106 for calculating the sound pressure data.

[0055] 4-3.Acceleration calculation unit 22 The acceleration calculation unit 22 calculates the acceleration data using the speed signal measured by the speedometer 14, but a signal from an acceleration sensor provided in the car may also be used.

[0056] 4-4.Other In the process according to the first embodiment, the configurations of the speedometer 14 and the acceleration calculation unit 22 are not essential. In the process according to the second embodiment, the configurations of the microphone 12, the sound pressure calculation unit 20, and the condition change unit 34 are not essential. [Explanation of symbols]

[0057] 10 control device, 12 microphone, 14 speedometer, 20 sound pressure calculation unit, 22 acceleration calculation unit, 24 memory unit, 26 condition determination unit, 28 abnormality detection unit, 30 communication unit, 32 operation control unit, 34 condition change unit, 36 reference value change unit, 41 processing circuit, 42 processor, 43 memory, 44 dedicated hardware, 100 abnormality diagnosis system

Claims

1. An abnormality diagnosis system for detecting abnormal sounds or abnormal vibrations in an elevator, A microphone that collects sounds from inside the elevator car; an operation control unit that moves the car in accordance with a diagnostic pattern when a specific diagnostic condition is satisfied; an abnormality detection unit that detects a modulation of the elevator while the car is being moved according to the diagnostic pattern, the diagnostic condition includes a diagnostic time period during which the diagnosis is to be performed; The abnormality diagnosis system includes: When the abnormality detection unit detects the modulation, if the elevator is normal, the elevator abnormality diagnosis system includes a condition change unit that measures background noise using the microphone in each of a plurality of diagnosis time periods and changes the diagnosis time period of the diagnosis conditions based on the measured background noise.

2. A storage unit that stores a sound pressure reference value for determining the modulation of the elevator; a sound pressure calculation unit that calculates sound pressure data of the sound collected by the microphone while the car is being moved according to the diagnostic pattern, The abnormality detection unit Detecting modulation of the elevator based on the sound pressure data and the sound pressure reference value stored in the storage unit. The elevator abnormality diagnosis system according to claim 1, configured as follows.

3. A communication unit that communicates with an external device of the elevator, The communication unit is When the abnormality detection unit detects the modulation a reference number of times in succession, modulation information including the detection of the modulation of the elevator is transmitted to the external device; A diagnosis result of the elevator by a maintenance worker is received from the external device. It is configured as follows: The condition changing unit is The elevator abnormality diagnosis system according to claim 1 , configured to change the diagnosis time zone included in the diagnosis conditions when the diagnosis result is normal.

4. The condition changing unit is The diagnostic time period included in the diagnostic condition is changed to a diagnostic time period in which the background noise is the lowest among the plurality of diagnostic time periods. The elevator abnormality diagnosis system according to any one of claims 1 to 3, configured as follows.

5. A storage unit that stores an acceleration reference value for determining the modulation of the elevator; an acceleration calculation unit that calculates acceleration data of the car while the car is being moved in accordance with the diagnosis pattern, The abnormality detection unit Detecting modulation of the elevator based on the acceleration data and the acceleration reference value stored in the storage unit. The elevator abnormality diagnosis system according to claim 1, configured as follows.

6. An abnormality diagnosis system for detecting abnormal sounds or abnormal vibrations in an elevator, A microphone that collects sounds from inside the elevator car; an operation control unit that moves the car in accordance with a diagnostic pattern when a specific diagnostic condition is satisfied; A storage unit that stores a sound pressure reference value for determining the modulation of the elevator; a sound pressure calculation unit that calculates sound pressure data of the sound collected by the microphone while the car is being moved according to the diagnostic pattern; an abnormality detection unit that detects a modulation of the elevator based on the sound pressure data and the sound pressure reference value stored in the storage unit; a reference value changing unit that changes the sound pressure reference value in a direction to increase the sound pressure reference value if the elevator is normal when the abnormality detection unit detects the modulation; A communication unit that communicates with an external device of the elevator, The communication unit is When the abnormality detection unit detects the modulation a reference number of times in succession, the abnormality detection unit transmits modulation information including the detection of the modulation of the elevator to the external device, and receives a diagnosis result of the elevator by a maintenance worker from the external device, The reference value changing unit is An elevator abnormality diagnosis system configured to change the sound pressure reference value in an upward direction when the diagnosis result is normal.

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