CN114590691A - Diagnosis method for detecting escalator fault based on sound characteristics - Google Patents
Diagnosis method for detecting escalator fault based on sound characteristics Download PDFInfo
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- CN114590691A CN114590691A CN202111607100.7A CN202111607100A CN114590691A CN 114590691 A CN114590691 A CN 114590691A CN 202111607100 A CN202111607100 A CN 202111607100A CN 114590691 A CN114590691 A CN 114590691A
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- escalator
- sound
- data
- analysis server
- moving parts
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- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000003745 diagnosis Methods 0.000 title claims abstract description 11
- 238000013500 data storage Methods 0.000 claims abstract description 9
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000006399 behavior Effects 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 230000005236 sound signal Effects 0.000 claims 1
- 238000012423 maintenance Methods 0.000 description 5
- 239000003638 chemical reducing agent Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B29/00—Safety devices of escalators or moving walkways
- B66B29/005—Applications of security monitors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Human Computer Interaction (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Computational Linguistics (AREA)
- Escalators And Moving Walkways (AREA)
Abstract
The invention discloses a diagnosis method for detecting faults of an escalator based on sound characteristics, wherein a plurality of sound sensors are arranged around a plurality of moving parts of the escalator, the sound sensors are numbered and record the positions of the moving parts, and the sound sensors respectively collect sound information; the sound information is collected by the data collector and then transmitted to the analysis server through the Ethernet, and the analysis server carries out fault location and identification by comparing with a normal sound sample; after the original voice data pass through the analysis server, the original voice data are transmitted to the data storage server through the Ethernet to be stored, and the fault information is displayed on the user interface terminal in an alarm notification mode. The escalator fault location method can be used for carrying out fault location and identification on the running escalator, comprehensively judging sound characteristic information and indicating the severity of the fault according to the alarm level.
Description
Technical Field
The invention belongs to the field of escalator fault detection equipment, and particularly relates to a diagnosis method for detecting escalator faults based on sound characteristics.
Background
After the escalator continuously runs for a long time, the important transmission parts are easily subjected to mechanical abrasion, so that the escalator is overlarge in amplitude, abnormal noise is generated, potential safety hazards are generated, and even major safety accidents are caused. At present, the main mode adopted for solving the safety problem of the escalator is regular maintenance. However, the regular maintenance of the escalator requires high costs of manpower and material resources in the whole life cycle of the escalator and is limited by the number of maintenance personnel, professional quality and the like.
Therefore, in order to reduce the occurrence of escalator faults and accidents, a high-adaptability escalator fault diagnosis system is finally obtained by analyzing the characteristics of the sound of the main moving parts of the escalator, combining the modeling simulation of the key moving parts of the escalator and based on a fault diagnosis theory, the running state and the fault state of the escalator are monitored and fed back and are used as important references of maintenance personnel, and therefore the occurrence of the accidents is reduced, and the maintenance cost of the escalator in the whole life cycle is reduced.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a diagnosis method for detecting the fault of the escalator based on sound characteristics.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention provides a diagnosis method for detecting escalator faults based on sound characteristics, which comprises a sound sensor, a data acquisition unit, an analysis server, a data storage server and a user interface terminal, wherein the sound sensor is arranged around a plurality of moving parts on an escalator frame, and the sound sensors are numbered to record the positions of the moving parts; the sound sensor collects sound information, the sound information is collected by the data collector and then transmitted to the analysis server through the Ethernet, and the analysis server carries out fault location and identification through time domain threshold judgment and frequency characteristic value algorithm; after the original voice data pass through the analysis server, the original voice data are transmitted to the data storage server through the Ethernet to be stored, and the fault information is displayed on the user interface terminal in an alarm notification mode.
The invention is realized by the following steps:
step 1, sound sensors are distributed around a plurality of moving parts of an escalator, collected sound information is positioned and displayed through numbering, and the strength of the sound information is displayed on a user interface through decibel values;
step 2, according to the running speed of the escalator: respectively recording time domain amplitude ranges and frequency domain characteristic values at different speeds under no-load, idle speed and full-load conditions; when the escalator runs, the acquired sound time domain amplitude difference and the acquired frequency domain characteristic frequency difference are compared in real time in combination with the running speed of the escalator, if the difference exceeds a reasonable range, an alarm is given, and an abnormal result is notified to a user;
and 3, placing the data acquisition unit in a space below the upper cover plate of the escalator, transmitting data to the analysis server through the Ethernet, giving an alarm to a user through the user interface terminal if the data is judged to be an abnormal event, and simultaneously storing the real-time sound data in the data storage server by the analysis server.
As a preferred technical scheme of the invention, the sound sensor internally comprises an analog-to-digital conversion module, the response frequency of the analog-to-digital conversion module is 50Hz to 15kHz, and the sound sensor is used for collecting sound information emitted by the moving part of the escalator.
As a preferred technical scheme of the invention, the data of the frequency ranges with the characteristic frequency bands of 50-200Hz, 500-1000Hz, 2000-3000Hz and 5000-8000Hz are collected to form a sample matrix according to the speeds of the moving parts of the escalator at different positions.
As a preferred technical solution of the present invention, the analysis server sums up the normal range of the time domain threshold and the characteristic value of the frequency domain through machine learning of a large amount of data to mark the behavior characteristic of the motion of each component at this speed as the comparison object in step 2.
Compared with the prior art, the invention has the following beneficial effects:
the invention uses the sound sensor to detect and position faults, can position and identify a plurality of escalator moving parts such as a motor, a speed reducer, a driving wheel, a tension wheel and the like of the escalator, judges that the amplitude of the moving part deviates from a certain range in a time domain so as to give an alarm, and judges whether the amplitude deviates from a certain range or not through the characteristic value of real-time data in a frequency domain so as to give an alarm.
Detailed Description
The following description of the preferred embodiments of the present invention is provided for the purpose of illustration and description, and is in no way intended to limit the invention.
In order to achieve the object of the present invention, the present embodiment provides a diagnosis method for detecting an escalator fault based on sound characteristics, which includes a sound sensor, a data collector, an analysis server, a data storage server and a user interface terminal, wherein the sound sensor is installed around a plurality of moving components on an escalator frame, and the sound sensor records the position of the moving components; the method comprises the following steps that a sound sensor collects sound information, the sound information is collected by a data collector and then transmitted to an analysis server through the Ethernet, and the analysis server carries out fault location and identification through time domain threshold judgment and frequency characteristic value algorithm; after the original voice data pass through the analysis server, the original voice data are transmitted to the data storage server through the Ethernet to be stored, and the fault information is displayed on the user interface terminal in an alarm notification mode.
The embodiment is realized by the following steps:
step 1, sound sensors are distributed around a plurality of moving parts of an escalator, collected sound information is positioned and displayed through numbering, and the strength of the sound information is displayed on a user interface through decibel values; the sound sensor internally comprises an analog-digital conversion module, the response frequency of the analog-digital conversion module is 50Hz to 15kHz, and the sound sensor is used for collecting sound information emitted by the moving part of the escalator. According to the speeds of the moving parts of the escalator at different positions, the collected data with the characteristic frequency ranges of 50-200Hz, 500-1000Hz, 2000-3000Hz and 5000-8000Hz form a sample matrix;
step 2, according to the running speed of the escalator: respectively recording time domain amplitude range and frequency domain characteristic value under different speeds when no load, idle speed and full load are carried out; the analysis server summarizes the normal range of the time domain threshold and the characteristic value of the frequency domain through machine learning of a large amount of data to mark the behavior characteristics of the motion of each component at the speed as a comparison object in the step 2; when the escalator operates, the acquired sound time domain amplitude difference and the acquired frequency domain characteristic frequency difference are compared in real time in combination with the escalator operating speed, if the difference exceeds a reasonable range, an alarm is given, and an abnormal result is notified to a user;
and 3, placing the data acquisition unit in a space below the upper cover plate of the escalator, transmitting data to the analysis server through the Ethernet, giving an alarm to a user through the user interface terminal if the data is judged to be an abnormal event, and simultaneously storing the real-time sound data in the data storage server by the analysis server.
The invention uses the sound sensor to detect and position faults, can position and identify a plurality of escalator moving parts such as a motor, a speed reducer, a driving wheel, a tension wheel and the like of the escalator, judges that the amplitude of the moving part deviates from a certain range in a time domain so as to give an alarm, and judges whether the amplitude deviates from a certain range or not through the characteristic value of real-time data in a frequency domain so as to give an alarm.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that various changes, modifications and substitutions can be made without departing from the spirit and scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A diagnosis method for detecting escalator faults based on sound characteristics comprises a sound sensor, a data collector, an analysis server, a data storage server and a user interface terminal, and is characterized by comprising the following steps:
step 1, sound sensors are distributed around a plurality of moving parts of an escalator, collected sound information is positioned and displayed through numbers, and the strength of sound signals is displayed on a user interface through decibel values;
step 2, according to the running speed of the escalator: respectively recording time domain amplitude ranges and frequency domain characteristic values at different speeds under no-load, idle speed and full-load conditions; when the escalator operates, the acquired sound time domain amplitude difference and the acquired frequency domain characteristic frequency difference are compared in real time in combination with the escalator operating speed, if the difference exceeds a reasonable range, an alarm is given, and an abnormal result is notified to a user;
and 3, placing the data acquisition unit in a space below the upper cover plate of the escalator, transmitting data to the analysis server through the Ethernet, giving an alarm to a user through the user interface terminal if the data is judged to be an abnormal event, and simultaneously storing the real-time sound data in the data storage server by the analysis server.
2. The method as claimed in claim 1, wherein the sound sensor includes an analog-to-digital conversion module therein, the response frequency of the analog-to-digital conversion module is from 50Hz to 15kHz, and the sound sensor is used for collecting sound information emitted from moving parts of the escalator.
3. The method as claimed in claim 1, wherein the collected data with the characteristic frequency ranges of 50-200Hz, 500-1000Hz, 2000-3000Hz and 5000-8000Hz forms a sample matrix according to the speeds of the moving parts of the escalator at different positions.
4. The escalator fault diagnosis method based on sound characteristics as claimed in claim 1, wherein the analysis server summarizes the normal range of time domain threshold and the frequency domain characteristic values through machine learning of a large amount of data to mark the behavior characteristics of each component motion at this speed as the comparison object of step 2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111607100.7A CN114590691A (en) | 2021-12-24 | 2021-12-24 | Diagnosis method for detecting escalator fault based on sound characteristics |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111607100.7A CN114590691A (en) | 2021-12-24 | 2021-12-24 | Diagnosis method for detecting escalator fault based on sound characteristics |
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| CN114590691A true CN114590691A (en) | 2022-06-07 |
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| CN202111607100.7A Pending CN114590691A (en) | 2021-12-24 | 2021-12-24 | Diagnosis method for detecting escalator fault based on sound characteristics |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115420495A (en) * | 2022-11-07 | 2022-12-02 | 山东百顿减震科技有限公司 | State monitoring method and device for building damping device |
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2021
- 2021-12-24 CN CN202111607100.7A patent/CN114590691A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115420495A (en) * | 2022-11-07 | 2022-12-02 | 山东百顿减震科技有限公司 | State monitoring method and device for building damping device |
| CN115420495B (en) * | 2022-11-07 | 2023-03-10 | 山东百顿减震科技有限公司 | State monitoring method and device for building damping device |
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