CN107973206A - Escalator lubricating status monitors system and the sound collection means for it - Google Patents
Escalator lubricating status monitors system and the sound collection means for it Download PDFInfo
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- CN107973206A CN107973206A CN201711479430.6A CN201711479430A CN107973206A CN 107973206 A CN107973206 A CN 107973206A CN 201711479430 A CN201711479430 A CN 201711479430A CN 107973206 A CN107973206 A CN 107973206A
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- 230000001050 lubricating effect Effects 0.000 title claims abstract description 68
- 238000013480 data collection Methods 0.000 claims abstract description 30
- 238000012423 maintenance Methods 0.000 claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims description 36
- 238000012545 processing Methods 0.000 claims description 28
- 239000012528 membrane Substances 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 claims description 2
- 230000000052 comparative effect Effects 0.000 claims description 2
- 238000012546 transfer Methods 0.000 claims description 2
- 239000010687 lubricating oil Substances 0.000 abstract description 4
- 230000003595 spectral effect Effects 0.000 description 9
- 239000002184 metal Substances 0.000 description 7
- 210000002569 neuron Anatomy 0.000 description 6
- 238000001228 spectrum Methods 0.000 description 6
- 238000005461 lubrication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000013528 artificial neural network Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 230000004907 flux Effects 0.000 description 3
- 230000033001 locomotion Effects 0.000 description 3
- 230000002146 bilateral effect Effects 0.000 description 2
- 239000000428 dust Substances 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B27/00—Indicating operating conditions of escalators or moving walkways
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N29/00—Special means in lubricating arrangements or systems providing for the indication or detection of undesired conditions; Use of devices responsive to conditions in lubricating arrangements or systems
- F16N29/04—Special means in lubricating arrangements or systems providing for the indication or detection of undesired conditions; Use of devices responsive to conditions in lubricating arrangements or systems enabling a warning to be given; enabling moving parts to be stopped
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N2230/00—Signal processing
- F16N2230/02—Microprocessor; Microcomputer
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N2260/00—Fail safe
- F16N2260/02—Indicating
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Escalators And Moving Walkways (AREA)
Abstract
The invention discloses a kind of escalator lubricating status to monitor system, including voice data collection device, for collecting the voice data for needing the metalwork monitored to send；Data sending device, the relevant data sending of voice data for will be sent with metalwork；Cloud processor, for receiving the relevant data of voice data sent with metalwork, the voice data threshold value of the metalwork of the normal operation in its database with cloud processor is compared, cloud processor compared result responds.Voice data collection device includes circuit box, arranges circuit board and digital microphone therein, and at least one in the roof and bottom wall of circuit box is provided with voice pickup hole.The present invention can be in any environment; obtain data and data are analyzed, and do not depend on the subjective judgement of manpower, look-ahead gets rusty, lacks the failures such as lubricating oil in the case of without shutting down exactly; maintenance time and money are saved, improves the security and riding comfort of elevator.
Description
Technical field
The present invention relates to escalator lubricating status monitoring system and the sound collection means for it, more specifically, relating to
And voice data is collected to judge the escalator lubricating status of escalator lubricating status monitoring system by sound collection means
System and the sound collection means for it.
Background technology
Escalator is widely used in a variety of occasions, such as department stores, office building and communal facility, and various interiors
Or outdoor environment, escalator need to its mechanical drives and with the relative motion of escalator even running it is relevant its
Its paired metal contact element carries out appropriate lubrication.And escalator lubricating status and the occasion and environment of escalator application
Temperature, humidity and dust it is closely related, escalator at department stores and communal facility due to the use of number it is more, because
The speed of this lubricating status possible deviation is relatively fast, it is necessary to which the frequency safeguarded is of a relatively high, and outdoor environment is due to opposite
Badly, therefore escalator lubricating status may also be deteriorated soon, it is necessary to which the frequency safeguarded is also just of a relatively high, therefore each
The lubricating status of staircase is different.It is often necessary to maintenance personnel continually goes site inspection equipment and checks its lubricating status,
Largely worked, and the manufacturer of escalator or user also are difficult to uniformly to grasp and understand all or its institute for using
There is the lubricating status of escalator.
And the lubricating status of escalator be the security of escalator, passenger comfort an important factor for one of.
The information age of information prosperity is, it is necessary to which the lubricating status monitoring system of improved escalator, it is capable of providing escalator profit
The remote monitoring of sliding state and with the relevant initial data of staircase lubricating status, and the initial data can be handled
And analysis, the information of the lubricating status of escalator can be provided rapidly in real time to the property of escalator or manufacturer, and
Manpower can not depended on to give warning in advance to the lubrication trouble of escalator, prevent ahead of time and avoid occurring, and system can be given
Make business and user provides the reference data of escalator operation.
The content of the invention
The object of the present invention is to provide a kind of monitoring system of the lubricating status for the escalator that disclosure satisfy that the demand,
And the voice data collection device that the monitoring system uses.
According to a first aspect of the present invention, there is provided a kind of escalator lubricating status monitors system, including voice data is collected
Device, is arranged near the component that the needs of escalator monitor, for collecting the voice data for needing the component monitored to send；
Data sending device, the relevant data sending of voice data for will be sent with component；Cloud processor, for reception and portion
The relevant data of voice data that part is sent, and by the relevant data of voice data sent with component and cloud processor
The voice data threshold value of the component of normal operation in database compares, and cloud processor compared result responds.
Preferably, staircase lubricating status monitoring system further includes local data processing unit, the sound sent with component
The relevant data of data are the voice data after being handled by local data processing unit.
Preferably, the relevant data of voice data sent with component be voice data collection device voice data, cloud
Processor is held to be handled after the voice data is received voice data, then again by the voice data and high in the clouds
The voice data threshold value for managing the component of the normal operation in the database of device compares.
Preferably, book data processing equipment is obtained in [F by bandpass filterIt is low, FIt is high] in the range of sent with component
The relevant data of voice data.
Preferably, cloud processor is obtained in [F by bandpass filterIt is low, FIt is high] in the range of the sound sent with component
The relevant data of data, then again by the sound of the component of the normal operation in the voice data and the database of cloud processor
Data threshold compares.
Preferably, local data processing unit calculates the characteristic value of voice data, as the voice data sent with component
Relevant data.
Preferably, cloud processor calculates the characteristic value of voice data, relevant as the voice data sent with component
Data, then again by the voice data threshold value phase of the voice data and the component of the normal operation in the database of cloud processor
Compare.
Preferably, if comparative result is more than the threshold value, cloud processor sends the report that escalator needs to lubricate
Alert signal, and trigger customer service system or directly contact maintenance personal.
Preferably, cloud processor includes staircase database, and storage staircase operation history data, staircase parameter and maintenance are gone through
History.
Preferably, cloud processor by counting, analyzing, artificial intelligence and the methods of machine learning compare and sent with component
The relevant data of voice data and threshold value.
Preferably, the relevant data of voice data that cloud processor storage is sent with component.
Preferably, voice data collection device is digital microphone component.
Preferably, digital microphone component is arranged on driving device and is contacted with drive chain contact position, driving chain and sprocket
Near position or step bootstrap block and skirtboard contact position.
Preferably, local data processing unit is microcomputer or dsp chip.
Preferably, microcomputer transfers data to cloud processor by wireless network.
Preferably, if one group staircase of the voice data from same client position, and there is similar voice data mould
Formula, then local data processing unit can only select the voice data of one in this group of staircase to be handled.
According to a further aspect of the invention, there is provided a kind of escalator lubricating status detecting system, including voice data are collected
Device, is arranged near the component that the needs of escalator monitor, for collecting the voice data for needing the component monitored to send；
Local data processing unit, in processing locality voice data, audio data transmitting be sent to cloud processor or be originally located in
Result is responded after reason voice data.
Another aspect according to the present invention, there is provided a kind of escalator lubricating status detecting system, including cloud processor, are used
In the voice data for receiving the remote data collection entity transmission being arranged near the component that needs of escalator monitor, to this
Voice data is handled, and handling result is responded.
A kind of another aspect according to the present invention, there is provided voice data for foregoing escalator lubricating status monitoring system
Collection device, wherein, which includes circuit board, one or more digital microphones, and closed circuit plate
And the circuit box of digital microphone, circuit box include roof, bottom wall and side wall, at least one setting in roof and bottom wall is sound
Sound picks up hole.
Preferably, voice pickup hole is provided with waterproof membrane on the inside or outside of the wall at place, prevents outside water or moisture
Into digital microphone component.
Preferably, digital microphone is arranged on the inner side of the wall where voice pickup hole, below waterproof membrane, or is arranged on
On circuit board.
The monitoring system of the lubricating status of the escalator of each embodiment according to the present invention can in any environment, including
Indoor or outdoor, quiet and noisy environment, obtains data and data is analyzed, and does not depend on the subjective judgement of manpower,
Look-ahead gets rusty, lacks the failures such as lubricating oil in the case of without shutting down exactly, saves maintenance time and money, improves
The security and riding comfort of elevator.
Brief description of the drawings
Fig. 1 is the flow chart of the first embodiment of escalator lubricating status monitoring system according to the present invention.
Fig. 2 is to filter out low-frequency noise and the mistake of high-frequency noise by bandpass filter in first embodiment shown in Fig. 1
The Spectrogram functions of journey draw spectrogram.
Fig. 3 is that the root-mean-square value of the voice data calculated in the first embodiment shown in Fig. 1 and the relation of threshold value are illustrated
Figure.
Fig. 4 is the flow chart of the second embodiment of escalator lubricating status monitoring system according to the present invention.
Fig. 5 is the knocking noise data pattern of different classifications.
Fig. 6 is the analysis process schematic diagram of grader 8.
Fig. 7 is the flow chart of the 3rd embodiment of escalator lubricating status monitoring system according to the present invention.
Fig. 8 is the flow chart of the fourth embodiment of escalator lubricating status monitoring system according to the present invention.
Fig. 9 is the flow chart of the 5th embodiment of escalator lubricating status monitoring system according to the present invention.
Figure 10 is the flow chart of the sixth embodiment of escalator lubricating status monitoring system according to the present invention.
Figure 11 is the voice data collection device 1 of the escalator lubricating status monitoring system for various embodiments of the present invention
First embodiment.
Figure 12 is the voice data collection device 1 of the escalator lubricating status monitoring system for various embodiments of the present invention
Second embodiment.
Figure 13 is the voice data collection device 1 of the escalator lubricating status monitoring system for various embodiments of the present invention
3rd embodiment.
Figure 14 is the voice data collection device 1 of the escalator lubricating status monitoring system for various embodiments of the present invention
Fourth embodiment.
Embodiment
The present invention relates to escalator lubricating status to monitor system, and the critical component of escalator needs to lubricate to ensure certainly
The safety of dynamic staircase and normal operation, involved component mainly include drive chain of escalator and drive chain of escalator wheel with
And step bootstrap block and skirtboard.The component is relative to the paired metal parts moved each other, in normal lubricating status
Under, smooth motion and uniform less sound is sent between paired metal parts, and lacking lubricating oil state or life
Become rusty, be covered with dust all under state, then phenomena such as movement between metal parts occurs clamping stagnation, pauses, and send more ear-piercing
Noise.
The sound that the escalator lubricating status monitoring system of the present invention is sent by transacter collection metal parts
Sound data, and the voice data is analyzed, to judge whether the lubricating status of escalator is normal.Transacter is usually
Digital microphone component, the drive chain of escalator and drive chain of escalator wheel for being arranged on the gear-box of escalator are in contact
Near place, or step band front shroud lower section step bootstrap block is arranged on near skirtboard touching position, can also be arranged as required to
On truss close near motor and drive chain touching position, or the component to contact with each other of any required monitoring.The microphone group
The microphone that part uses can be common mobile microphone or ultrasonic microphone, it can record wave file,
And support playback function.Digital microphone component constantly collects voice data, and stores audio files, the audio files
It can be played when needed.
The basic conception of the present invention is described below by embodiment according to the present invention.
Fig. 1 is the flow chart of the first embodiment of escalator lubricating status monitoring system according to the present invention.
In the first embodiment, 1 is voice data collection device, digit collection device 1 collect drive chain of escalator and
The voice data of step bootstrap block and skirtboard touching position below drive chain of escalator wheel touching position or step band front shroud, should
The wave file of voice data is stored in the local data processing unit 2 of local device 6, and passes through bandpass filter 3
Handled.Then by audio data transmitting device 4, audio data transmitting is sent to cloud processor 5.
At bandpass filter 3, voice data is by carry out noise filtering, so as to obtain in particular frequency range [FIt is low,FIt is high]
Between voice data, FIt is lowUsually in 1000~5000Hz, FIt is highTypically larger than 10000Hz, because the portion of sound data most has
May be related to the frictional noise between metal and metal.This can be by the way that voice data be drawn using Spectrogram functions
Spectrogram carries out.
This is schematically shown in Fig. 2 low-frequency noise and the process of high-frequency noise are filtered out by bandpass filter
Spectrogram functions draw spectrogram.Fig. 2 (a) is voice signal when the normal chain not got rusty is in contact with sprocket wheel,
It is concentrated mainly on low-frequency range.Fig. 2 (b) is the voice signal when chain to get rusty is in contact with sprocket wheel, it is low-frequency noise
With the mixing of high frequency peaks.Fig. 2 (c) be by applying frequency scope for [5000,15000] bandpass filter only reservation with
The relevant separated acoustic pattern of situation of getting rusty.
Then, the Key Performance Indicator (KPI) of filtered voice data is calculated.Contacted between metalwork-metalwork
The relevant KPI of noise sent can be the root-mean-square value of voice data peak value, in this embodiment, calculate filtered sound
The root-mean-square value of data peaks.
The root-mean-square value is sent to cloud processor 5 via audio data transmitting device 4, beyond the clouds in processor 5, by this
Root-mean-square value is compared with the threshold value set, if the root-mean-square value is higher than threshold value, cloud processor responds, and sends report
Alert signal, client service center is transferred to by the alarm signal, or directly liaison maintenance personnel carry out escalator lubricated maintenance.This ratio
Schematically shown in figure 3 compared with relation.
The KPI threshold values can be tested by different lubrication states and obtained in the lab, or be obtained based on experiment.
Fig. 4 is the flow chart of the second embodiment of escalator lubricating status monitoring system according to the present invention.
In a second embodiment, 1 is voice data collection device, digit collection device 1 collect drive chain of escalator and
The voice data of step bootstrap block and skirtboard touching position below drive chain of escalator wheel touching position or step band front shroud, should
The wave file of voice data is stored in the local data processing unit 2 of local device 6.Then local data processing unit
2 calculate the characteristic value of the voice data, and the characteristic value of calculating is sent to cloud processor 5 by data sending device 4.
Fig. 5 is the comparison of the knocking noise data pattern of different classifications, wherein a be step misplace failure when sound number
According to pattern, voice data pattern when b gets rusty for drive chain, voice data pattern when c is normal operation.It can be seen from the above that not
It is different with classification knocking noise data pattern, therefore characteristic value is also different.
In this embodiment, characteristic value calculating is carried out to voice data using local data processing unit 2.Characteristic value can be with
It is zero-crossing rate, energy, Energy-Entropy, spectral centroid, frequency spectrum entropy, spectral flux, spectral roll-off, frequency spectrum cepstrum coefficient, chroma vector
Or chromaticity distortion etc..
Then the characteristic value of the calculating is sent to cloud processor 5 by data sending device 4, beyond the clouds at processor 5,
By using history or the sound fault data of storage training grader 8, grader 8 uses neural network algorithm, by spy
The adjustment of vector is levied, preferably to represent the characteristic of different faults classification.
Fig. 6 is the analysis process schematic diagram of grader 8, and the characteristic value being computed received is transmitted to three by grader 8
A neuron, carries out analysis calculating, output is directed to each failure modes by each neuron for different failure modes
Prediction confidence intervals, according to the confidential interval export analysis result, the result instruction may occur or that failure does not occur
Classification.
Fig. 7 is the flow chart of the 3rd embodiment of escalator lubricating status monitoring system according to the present invention.
In the third embodiment, 1 is voice data collection device, digit collection device 1 collect drive chain of escalator and
The voice data of step bootstrap block and skirtboard touching position below drive chain of escalator wheel touching position or step band front shroud, should
The wave file of voice data is directly sent to cloud processor 5 by data sending device 4, beyond the clouds at processor 5, passes through
Bandpass filter 3 carries out noise filtering to voice data, so as to obtain in particular frequency range [FIt is low,FIt is high] between sound number
According to FIt is lowUsually in 1000~5000Hz, FIt is highTypically larger than 10000Hz, then, cloud processor 5 calculate filtered sound number
According to Key Performance Indicator (KPI), and by the root-mean-square value with set threshold value compare.It is indirectly with metalwork-metalwork
The relevant KPI of noise triggered out can be the root-mean-square value of voice data peak value, in this embodiment, calculate filtered sound
The root-mean-square value of sound data peaks.If the root-mean-square value is higher than threshold value, cloud processor responds, and sends alarm signal
Number, which is transferred to client service center, or directly liaison maintenance personnel carry out escalator lubricated maintenance.This compared
Journey is schematically shown in figure 3.The KPI threshold values can be tested by different lubrication states and obtained in the lab, or based on reality
Test acquisition.
Fig. 8 is the flow chart of the fourth embodiment of escalator lubricating status monitoring system according to the present invention.
In the fourth embodiment, 1 is voice data collection device, digit collection device 1 collect drive chain of escalator and
The voice data of step bootstrap block and skirtboard touching position below drive chain of escalator wheel touching position or step band front shroud, should
The wave file of voice data is directly sent to cloud processor 5 by data sending device 4, beyond the clouds at processor 5, calculates
The characteristic value of the voice data, then trains grader 8 by using history or the sound fault data of storage, and grader 8 is adopted
With neural network algorithm, by the adjustment to feature vector, preferably to represent the characteristic of different faults classification.
In this embodiment, characteristic value calculating is carried out to the voice data of different classifications using cloud processor 5.Characteristic value
Can be zero-crossing rate, energy, Energy-Entropy, spectral centroid, frequency spectrum entropy, spectral flux, spectral roll-off, frequency spectrum cepstrum coefficient, colourity
Vector or chromaticity distortion etc..
Fig. 5 is the comparison of the knocking noise data pattern of different classifications, wherein a be step misplace failure when sound number
According to pattern, voice data pattern when b gets rusty for drive chain, voice data pattern when c is normal operation.It can be seen from the above that not
It is different with classification knocking noise data pattern, therefore characteristic value is also different.
Fig. 6 is the analysis process schematic diagram of grader 8, and the characteristic value being computed received is transmitted to three by grader 8
A neuron, carries out analysis calculating, output is directed to each failure modes by each neuron for different failure modes
Prediction confidence intervals, according to the confidential interval export analysis result.
The difference of 3rd embodiment and fourth embodiment and first embodiment and second embodiment essentially consists in, real first
Apply the data processing in the local device 6 carried out in example and second embodiment to carry out in processor 5 beyond the clouds, but so may
The expense carried out data transmission from local device 6 to cloud processor 5 can be increased.
Fig. 9 is the flow chart of the 5th embodiment of escalator lubricating status monitoring system according to the present invention.
In the 5th embodiment, 1 is voice data collection device, digit collection device 1 collect drive chain of escalator and
The voice data of step bootstrap block and skirtboard touching position below drive chain of escalator wheel touching position or step band front shroud, should
The wave file of voice data carries out noise filtering by bandpass filter 3 in local to voice data, so as to obtain specific
Frequency range [FIt is low,FIt is high] between voice data, FIt is lowUsually in 1000~5000Hz, FIt is highTypically larger than 10000Hz, then, this
Ground data processing equipment 2 calculates the Key Performance Indicator (KPI) of filtered voice data, and by the root-mean-square value with setting
Threshold value compares.It can be the square of voice data peak value that the relevant KPI of the noise sent is contacted between metalwork-metalwork
Root, in this embodiment, calculates the root-mean-square value of filtered voice data peak value.Local data processing unit 2 can be into
One step compares the root-mean-square value with the threshold value set, which schematically shows in figure 3, if the root mean square
Value is higher than threshold value, then local data processing unit 2 responds 7, which can send alarm signal, by the alarm signal
Client service center number is transferred to, or directly liaison maintenance personnel carry out escalator lubricated maintenance.Local data processing unit 2 also may be used
The root-mean-square value only is sent to cloud processor.The KPI threshold values can be tested by different lubrication states in the lab
Obtain, or obtained based on experiment.
Figure 10 is the flow chart of the sixth embodiment of escalator lubricating status monitoring system according to the present invention.
In the sixth embodiment, 1 is voice data collection device, digit collection device 1 collect drive chain of escalator and
The voice data of step bootstrap block and skirtboard touching position below drive chain of escalator wheel touching position or step band front shroud, should
The wave file of voice data directly calculates the characteristic value of voice data, Ran Houtong local 6 by local data processing unit 2
The sound fault data training grader 8 of usage history or storage is crossed, grader 8 uses neural network algorithm, by feature
The adjustment of vector, preferably to represent the characteristic of different faults classification.In this embodiment, characteristic value can be zero-crossing rate, energy
Amount, Energy-Entropy, spectral centroid, frequency spectrum entropy, spectral flux, spectral roll-off, frequency spectrum cepstrum coefficient, chroma vector or chromaticity distortion
Deng.
Fig. 5 is the comparison of the knocking noise data pattern of different classifications, wherein a be step misplace failure when sound number
According to pattern, voice data pattern when b gets rusty for drive chain, voice data pattern when c is normal operation.It can be seen from the above that not
It is different with classification knocking noise data pattern, therefore characteristic value is also different.
Fig. 6 is the analysis process schematic diagram of grader 8, and the characteristic value being computed received is transmitted to three by grader 8
A neuron, carries out analysis calculating, output is directed to each failure modes by each neuron for different failure modes
Prediction confidence intervals, according to the confidential interval export analysis result.Local data processing unit can respond the result,
The response is transferred to client service center can send alarm signal, by the alarm signal, or directly liaison maintenance personnel carry out
Escalator lubricated maintenance or directly by the result to cloud processor send.
The escalator lubricating status monitoring system of each embodiment according to the present invention can in any environment, including interior
Or outdoor, quiet and noisy environment, obtain data and data are analyzed, and the subjective judgement of manpower is not depended on, accurately
Ground look-ahead in the case of without shutting down gets rusty, lacks the failures such as lubricating oil, saves maintenance time and money, improves elevator
Security and riding comfort.
Figure 11 is the voice data collection device 1 of the escalator lubricating status monitoring system for various embodiments of the present invention
First embodiment.In the embodiment, voice data collection device 1 includes sensor circuit box 11, the sensor circuit box 11
Including roof 12, bottom wall 13 and side wall 14, voice pickup hole 15 is defined in roof 12, which is through hole.Voice data
Collection device 1, which further includes, is arranged on the indoor sound transducer 16 of chamber, which is supported on sensing by stent 17
On the bottom wall 13 of device circuit box.The opening towards chamber in voice pickup hole, on sound transducer 16, is provided with anti-
Moisture film 18, which prevents water or moisture from entering in voice data collection device 1, and has good voice transmission
Energy.
Figure 12 is the voice data collection device 1 of the escalator lubricating status monitoring system for various embodiments of the present invention
Second embodiment.In the embodiment, it is with first embodiment difference, sound transducer 16 is directly attached to sensor
The roof 12 of circuit box 11, below voice pickup hole 15, also below waterproof membrane 18.
Figure 13 is the voice data collection device 1 of the escalator lubricating status monitoring system for various embodiments of the present invention
3rd embodiment.In the embodiment, it is with first embodiment difference, which is bilateral sound
Sound transacter, its sensor circuit box 11 set the voice pickup hole of promising through hole on roof 12 and bottom wall 13 respectively
15 and 19, and two sound transducers 16 and 20, each sound transducer be supported on roof 12 by stent 17 and 21 respectively
On bottom wall 13, each voice pickup hole 15 and 19 is attached with waterproof membrane 18 and 22 in the opening towards chamber respectively.
Figure 14 is the voice data collection device 1 of the escalator lubricating status monitoring system for various embodiments of the present invention
Fourth embodiment.In the embodiment, it is with second embodiment difference, which is bilateral sound
Sound transacter, its sensor circuit box 11 set the voice pickup hole of promising through hole on roof 12 and bottom wall 13 respectively
15 and 19, and two sound transducers 16 and 20, each sound transducer is directly attached on roof 12 and bottom wall 13 respectively,
Each voice pickup hole 15 and 19 is attached with waterproof membrane 18 and 22 in the opening towards chamber respectively, and waterproof membrane 18 and 22 is in sound
Between the sound transducer being attached towards the opening of chamber and corresponding opening in sound pickup hole 15 and 19.
It should be noted that the embodiment is only exemplary, not should be is limitation of the present invention, in multiple realities
Apply the feature in mode can be combined using come obtain the present invention more embodiments, the scope of the present invention is only by appended right
It is required that limit.Various deformation form can be made to the embodiment and improved form is made without departing from the scope of the present invention.
Claims (21)
1. a kind of escalator lubricating status monitors system, including voice data collection device, the needs of escalator are arranged on
Near the component of monitoring, for collecting the voice data for needing the component monitored to send；Data sending device, for will be with component
The relevant data sending of voice data sent；Cloud processor, for receiving the relevant number of voice data sent with component
According to, and by the component of the normal operation in the database of the relevant data of voice data sent with component and cloud processor
Voice data threshold value compare, cloud processor compared result responds.
2. staircase lubricating status according to claim 1 monitors system, wherein, staircase lubricating status monitoring system is also wrapped
Local data processing unit is included, the relevant data of voice data sent with component are after being handled by local data processing unit
Voice data.
3. staircase lubricating status according to claim 1 monitors system, wherein, the voice data sent with component is relevant
Data are the voice data of voice data collection device, and cloud processor is after the voice data is received, to voice data
Handled, then again by the voice data threshold of the component of the normal operation in the voice data and the database of cloud processor
Value compares.
4. staircase lubricating status according to claim 2 monitors system, wherein, local data processing unit is filtered by band logical
Ripple device is obtained in [FIt is low, FIt is high] in the range of the relevant data of the voice data sent with component.
5. staircase lubricating status according to claim 3 monitors system, wherein, cloud processor is obtained by bandpass filter
Obtain in [FIt is low, FIt is high] in the range of the relevant data of the voice data sent with component, then again by the voice data and high in the clouds
The voice data threshold value for managing the component of the normal operation in the database of device compares.
6. staircase lubricating status according to claim 2 monitors system, wherein, local data processing unit calculates sound number
According to characteristic value, as the relevant data of voice data sent with component.
7. staircase lubricating status according to claim 3 monitors system, wherein, cloud processor calculates the spy of voice data
Value indicative, as the relevant data of voice data sent with component, then again by the voice data and the data of cloud processor
The voice data threshold value of the component of normal operation in storehouse compares.
8. staircase lubricating status according to any one of claim 1-3 monitors system, wherein, if comparative result is more than
The threshold value, then cloud processor sends the alarm signal that escalator needs to lubricate, and triggers customer service system or directly connection
It is maintenance personal.
9. staircase lubricating status according to any one of claim 1-3 monitors system, wherein, cloud processor includes helping
Terraced database, storage staircase operation history data, staircase parameter and maintenance history.
10. staircase lubricating status according to any one of claim 1-3 monitors system, wherein, cloud processor passes through
The methods of statistics, analysis, artificial intelligence and rote learning, compares the relevant data of the voice data sent with component and threshold value.
11. staircase lubricating status according to any one of claim 1-3 monitors system, wherein, cloud processor storage
The relevant data of voice data sent with component.
12. staircase lubricating status according to any one of claim 1-3 monitors system, wherein, voice data collects dress
It is set to digital microphone component.
13. staircase lubricating status according to claim 12 monitors system, wherein, digital microphone component is arranged on driving
Near device and drive chain contact position, driving chain and sprocket contact position or step bootstrap block and skirtboard contact position.
14. staircase lubricating status according to any one of claim 1-3 monitors system, wherein, local data processing dress
It is set to microcomputer or dsp chip.
15. staircase lubricating status according to claim 14 monitors system, wherein, microcomputer will by wireless network
Data transfer is to cloud processor.
16. staircase lubricating status according to any one of claim 1-3 monitors system, wherein, if voice data comes
One group of staircase from same client position, and there is similar voice data pattern, then local data processing unit can be selected only
The voice data of one in this group of staircase is handled.
17. a kind of escalator lubricating status detecting system, including voice data collection device, are arranged on the needs of escalator
Near the component of monitoring, for collecting the voice data for needing the component monitored to send；Local data processing unit, at this
Ground processing voice data, be sent to cloud processor by audio data transmitting or make sound to result after processing locality voice data
Should.
18. a kind of escalator lubricating status detecting system, including cloud processor, the need of escalator are arranged on for receiving
The voice data that remote data collection entity near the component to be monitored is sent, handles the voice data, and right
Handling result responds.
19. a kind of voice data of escalator lubricating status monitoring system for any one of preceding claims is received
Acquisition means, wherein, the voice data collection device include circuit board, one or more digital microphones, and closed circuit plate and
The circuit box of digital microphone, circuit box include roof, bottom wall and side wall, and at least one in roof and bottom wall is provided with sound
Pick up hole.
20. voice data collection device according to claim 19, wherein, voice pickup hole in the inner side of the wall at place or
Outside is provided with waterproof membrane, prevents outside water or moisture from entering digital microphone component.
21. voice data collection device according to claim 20, wherein, digital microphone is arranged on voice pickup hole institute
Wall inner side, below waterproof membrane, or set on circuit boards.
Priority Applications (8)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201780097574.7A CN111727164B (en) | 2017-12-29 | 2017-12-29 | Escalator monitoring system, escalator monitoring method, sound data collection device and clamp used for escalator monitoring device |
| EP17935925.2A EP3732123A4 (en) | 2017-12-29 | 2017-12-29 | Escalator monitoring system, method, sound data collection device and fixture therefor |
| CN202210985369.7A CN115352988A (en) | 2017-12-29 | 2017-12-29 | Escalator monitoring system, escalator monitoring method, sound data collection device and clamp used for escalator monitoring device |
| EP21211673.5A EP3981725A1 (en) | 2017-12-29 | 2017-12-29 | Escalator monitoring system and method |
| CN201711479430.6A CN107973206A (en) | 2017-12-29 | 2017-12-29 | Escalator lubricating status monitors system and the sound collection means for it |
| PCT/CN2017/119810 WO2019127359A1 (en) | 2017-12-29 | 2017-12-29 | Escalator monitoring system, method, sound data collection device and fixture therefor |
| US16/769,772 US11225399B2 (en) | 2017-12-29 | 2017-12-29 | Escalator monitoring system, method, sound data collection device and fixture therefor |
| US17/514,192 US11795034B2 (en) | 2017-12-29 | 2021-10-29 | Escalator monitoring system, method, sound data collection device and fixture therefor |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711479430.6A CN107973206A (en) | 2017-12-29 | 2017-12-29 | Escalator lubricating status monitors system and the sound collection means for it |
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| CN107973206A true CN107973206A (en) | 2018-05-01 |
Family
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| CN201711479430.6A Pending CN107973206A (en) | 2017-12-29 | 2017-12-29 | Escalator lubricating status monitors system and the sound collection means for it |
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