CN105502115A - Maintenance quality online assessment method, device and system based on elevator - Google Patents

Abstract

The invention is suitable for the technical field of elevator industry, and provides a maintenance quality online assessment method, a device and a system based on an elevator. The method comprises the following steps: a temperature signal of a temperature sensor mounted on an elevator bearing and a vibration signal of a vibration sensor mounted on the elevator bearing are obtained; the online assessment is performed for elevator maintenance quality according to a time domain waveform of the temperature signal, a time domain waveform of the vibration signal and a prebuilt time domain waveform degradation detecting model; when the time domain waveform is degraded, a band pass filter filters the vibration signal to filter out a fixed vibration signal of the elevator bearing; the enveloping demodulation is performed for the fixed vibration signal of the elevator bearing to obtain a low-frequency enveloping signal; the Fourier transform is performed for the low-frequency enveloping signal to obtain an enveloping frequency spectrum; the failure of the elevator bearing is detected according to the enveloping frequency spectrum and the fault characteristic frequency of the elevator bearing; and the fault is tracked. The maintenance quality online assessment method, device and system based on the elevator reduce the elevator accident generation probability.

Description

A kind of repair and maintenance quality online evaluation method, Apparatus and system based on elevator

Technical field

The invention belongs to elevator industrial technical field, particularly relate to a kind of repair and maintenance quality online evaluation method, Apparatus and system based on elevator.

Background technology

Elevator maintain and protection, ensures that elevator normally runs and the periodical maintenance care work that specifies exactly.At present, in elevator maintain and protection, there is the mode of two kinds of repair and maintenance, first kind of way: carry out repair and maintenance at set intervals, such as, carry out repair and maintenance every two weeks, or carry out repair and maintenance every other month, the second way: adopt elevator Internet of Things, elevator faults or accident are detected.

But, the scheme of existing elevator maintain and protection, there is the major defect of two aspects in it, details are as follows:

First aspect, not in time, easily there is elevator accident in elevator bearing repair and maintenance.Its reason is to carry out repair and maintenance at set intervals, due to elevator bearing repair and maintenance not in time, and repair and maintenance work is manual examination (check), therefore likely indeterminacy is true, or does not measure, and easily causes elevator bearing repair and maintenance of poor quality, repair and maintenance are not in place, repair and maintenance not in time, there is elevator accident.

Second aspect, cannot detect elevator bearing in advance, its reason is, elevator Internet of Things is a kind of emergency response mechanism, it detects elevator faults or accident after occurring for elevator faults or accident, therefore can not to positioning forecast to the elevator bearing of urgently repair and maintenance in advance, can not determine the elevator bearing that there is fault, the accident of elevator bearing fault initiation can not be eliminated to the injury of people.

Summary of the invention

The object of the embodiment of the present invention is to provide a kind of repair and maintenance quality online evaluation method based on elevator, and be intended to the scheme solving existing elevator maintain and protection, cannot detect elevator bearing in advance, elevator bearing repair and maintenance not in time, easily occur the problem of elevator accident.

The embodiment of the present invention is achieved in that a kind of repair and maintenance quality online evaluation method based on elevator, comprising:

Obtain the temperature signal of the temperature sensor be arranged on elevator bearing and be arranged on the vibration signal of the vibration sensor on elevator bearing;

Show the time domain waveform of described temperature signal and the time domain waveform of described vibration signal, according to the time domain waveform of described temperature signal, the time domain waveform of described vibration signal and the time domain waveform degradation model set up in advance, online evaluation is carried out to elevator maintain and protection quality;

When described time domain waveform deterioration, determine central frequency and the bandwidth of the bandpass filter preset, by described bandpass filter, filtering process is carried out to described vibration signal, the low frequency component of filtered signal, obtain the high fdrequency component in bearing vibration signal, envelope demodulation process is carried out to elevator bearing high fdrequency component, obtains the vibration envelope signal of damage of the bearing and defect;

Fourier transform is carried out to described low frequency envelope signal, obtain envelope frequency spectrum, obtain the rotating speed of described elevator bearing, elevator bearing fault characteristic frequency is generated according to the rotating speed of described elevator bearing, according to described envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of.

Another object of the embodiment of the present invention is to provide a kind of repair and maintenance quality online evaluation device based on elevator, comprising:

Acquisition module, for obtaining the temperature signal of the temperature sensor be arranged on elevator bearing and being arranged on the vibration signal of the vibration sensor on elevator bearing;

Elevator maintain and protection assessed value generation module, for the time domain waveform of the time domain waveform and described vibration signal that show described temperature signal, according to the time domain waveform of described temperature signal, the time domain waveform of described vibration signal and the time domain waveform degradation model set up in advance, online evaluation is carried out to elevator maintain and protection quality;

Bandpass filter determination module, for when described time domain waveform is deteriorated, determine central frequency and the bandwidth of the bandpass filter preset, by described bandpass filter, filtering process is carried out to described vibration signal, the low frequency component of filtered signal, obtain the high fdrequency component in bearing vibration signal, envelope demodulation process is carried out to elevator bearing high fdrequency component, obtain the vibration envelope signal of damage of the bearing and defect;

There is fault detection module in elevator bearing, for carrying out Fourier transform to described low frequency envelope signal, obtain envelope frequency spectrum, obtain the rotating speed of described elevator bearing, elevator bearing fault characteristic frequency is generated according to the rotating speed of described elevator bearing, according to described envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of.

Another object of the embodiment of the present invention is to provide a kind of repair and maintenance quality online evaluation system based on elevator, comprise the above-mentioned repair and maintenance quality online evaluation device based on elevator, be arranged on the temperature sensor on elevator bearing, the tachogen being arranged on the vibration sensor on elevator bearing and being arranged on towing machine, wherein, between described elevator bearing detecting device and the described temperature sensor be arranged on elevator bearing, connected by data collection station, between described elevator bearing detecting device and the described vibration sensor be arranged on elevator bearing, connected by data collection station, between described elevator bearing detecting device and the tachogen being arranged on towing machine, connected by data collection station.

In embodiments of the present invention, Fourier transform is carried out to low frequency envelope signal, obtain envelope frequency spectrum, according to envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of, and described fault is followed the tracks of, due to low frequency envelope signal can be got whenever and wherever possible, therefore detect that described elevator bearing exists fault whenever and wherever possible, and described fault is followed the tracks of, and described fault is followed the tracks of, therefore solve and cannot detect elevator bearing in advance, elevator bearing repair and maintenance not in time, easily there is the problem of elevator accident, therefore both can detect elevator bearing in time, greatly reduce the probability that elevator accident occurs, also the time of elevator bearing repair and maintenance can be reduced, improve the detection efficiency of elevator bearing.

Accompanying drawing explanation

Fig. 1 is the network architecture block diagram of the repair and maintenance quality online evaluation system based on elevator that the embodiment of the present invention provides;

Fig. 2 is the realization flow figure of the repair and maintenance quality online evaluation method based on elevator that the embodiment of the present invention provides;

Fig. 3 is that the embodiment of the present invention provides, based on the realization flow figure of the repair and maintenance quality online evaluation method step S102 of elevator;

Fig. 4 is the realization flow figure of the repair and maintenance quality online evaluation method step S103 based on elevator that the embodiment of the present invention provides;

Fig. 5 is the implementing procedure figure of the embodiment of the present invention based on the repair and maintenance quality online evaluation method step S105 of elevator;

Fig. 6 is the first structured flowchart of the repair and maintenance quality online evaluation device 100 based on elevator that the embodiment of the present invention provides;

Fig. 7 is the second structured flowchart of the elevator bearing detecting device 100 that the embodiment of the present invention provides;

Fig. 8 is the 3rd structured flowchart of the elevator bearing detecting device 100 that the embodiment of the present invention provides;

Fig. 9 is the 4th structured flowchart of the elevator bearing detecting device 100 that the embodiment of the present invention provides.

Detailed description of the invention

In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.

embodiment one

With reference to the network architecture block diagram that figure 1, Fig. 1 is the repair and maintenance quality online evaluation system based on elevator that the embodiment of the present invention provides.

Wherein, in this elevator bearing detection system, comprise the above-mentioned repair and maintenance quality online evaluation device 100 based on elevator, be arranged on the temperature sensor 300 on elevator bearing, the tachogen 500 being arranged on the vibration sensor 400 on elevator bearing and being arranged on towing machine, wherein, between described elevator bearing detecting device 100 and the described temperature sensor 300 be arranged on elevator bearing, connected by data collection station 200, between described elevator bearing detecting device 100 and the described vibration sensor 400 be arranged on elevator bearing, connected by data collection station 200, between described elevator bearing detecting device 100 and the tachogen 500 being arranged on towing machine, connected by data collection station 200.

Data collection station 200 is connected with elevator bearing detecting device 100 by wireless network that is wired or setting.The wireless network of setting includes but not limited to WLAN, 3G network, 4G network.

Wherein, elevator bearing can be the bearing of vertical lift, also can be the bearing of escalator.

Wherein, this elevator bearing detecting device 100 runs on the server.This server can accessing Internet, also can local area network that only access is local.When server accessing Internet and when elevator bearing fault being detected, elevator bearing failure message can be pushed to user terminal by internet, described user terminal includes but not limited to vehicular telephone, pocket computer (PocketPersonalComputer, PPC), palm PC, computing machine, personal digital assistant (PersonalDigitalAssistant, PDA).

When server only accesses local local area network, user directly at the scene workstation can inquire about elevator bearing fault.

Wherein, by server, data collection station 200, the temperature sensor 300 be arranged on elevator bearing, the tachogen 500 that is arranged on the vibration sensor 400 on elevator bearing and is arranged on towing machine, elevator bearing repair and maintenance quality online evaluation and accident potential's forecast system remote monitoring platform can be set up, wherein, the program that the treater in server performs comprises program, the program of repair and maintenance guidance, program, the program of time-domain waveform analysis, the program of fault localization, the program of trend prediction of data storage of frequency domain figure analysis of spectrum.

In the present embodiment, be arranged on the temperature sensor 300 on elevator bearing, vibration sensor 400 and the tachogen 500 be arranged on towing machine, upload the data of sensor to elevator bearing detecting device 100, therefore elevator bearing detecting device 100 can detect elevator bearing in time, once find that elevator bearing exists fault, namely repair and maintenance are carried out to elevator bearing, therefore the probability that elevator accident occurs can be greatly reduced, meanwhile, because decrease the step of manual detection elevator bearing, therefore the time of elevator bearing repair and maintenance can also be reduced, improve the detection efficiency of elevator bearing.

embodiment two

With reference to the realization flow figure that figure 2, Fig. 2 is the repair and maintenance quality online evaluation method based on elevator that the embodiment of the present invention provides, details are as follows:

In step s 201, obtain the temperature signal of the temperature sensor 300 be arranged on elevator bearing and be arranged on the vibration signal of the vibration sensor 400 on elevator bearing;

Wherein, to the value of the temperature signal got compared with the temperature threshold preset;

When the value of the temperature signal got is greater than default temperature threshold, carry out alert process.

In step S202, show the time domain waveform of described temperature signal and the time domain waveform of described vibration signal, according to the time domain waveform of described temperature signal, the time domain waveform of described vibration signal and the time domain waveform degradation model set up in advance, online evaluation is carried out to elevator maintain and protection quality;

Wherein, elevator maintain and protection quality is carried out to the implementation process of online evaluation, be described in embodiment three, do not repeat at this.

In step S203, when described time domain waveform deterioration, determine central frequency and the bandwidth of the bandpass filter preset, by described bandpass filter, filtering process is carried out to described vibration signal, the low frequency component of filtered signal, obtain the high fdrequency component in bearing vibration signal, envelope demodulation process is carried out to elevator bearing high fdrequency component, obtain the vibration envelope signal of damage of the bearing and defect;

Wherein, default assessed value for user is from establishing, also can be able to be system default, limit at this.

In step S204, Fourier transform is carried out to described low frequency envelope signal, obtain envelope frequency spectrum, obtain the rotating speed of described elevator bearing, elevator bearing fault characteristic frequency is generated according to the rotating speed of described elevator bearing, according to described envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of.

Wherein, described elevator bearing fault characteristic frequency, can by following 4 formulae discovery out

$\mathrm{BPFO}=\frac{R}{60}\×\frac{N}{2}\×(1-\frac{d}{D}\cos \mathrm{\α})$ ①

$\mathrm{BPFI}=\frac{R}{60}\×\frac{N}{2}\×(1+\frac{d}{D}\cos \mathrm{\α})$ ②

$\mathrm{BSF}=\frac{R}{60}\×\frac{1}{2}\×\frac{D}{d}(1-{\left(\frac{d}{D}\right)}^2{\cos }^2\mathrm{\α})$ ③

$\mathrm{FTF}=\frac{R}{60}\×\frac{1}{2}\×(1-\frac{d}{D}\cos \mathrm{\α})$ ④

Wherein: R represents bearing rotating speed, N represents bearing ball number, and d represents rolling body diameter, and D represents bearing pitch diameter, and α represents roller contact angle.

Alternatively, detecting that described elevator bearing exists fault, and after described fault is followed the tracks of, elevator bearing can issued and there is the information of fault to associated mobile terminal, with reminding user, repair and maintenance or replacing be carried out to elevator bearing.

In embodiments of the present invention, Fourier transform is carried out to low frequency envelope signal, obtain envelope frequency spectrum, according to envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of, and described fault is followed the tracks of, due to low frequency envelope signal can be got whenever and wherever possible, therefore detect that described elevator bearing exists fault whenever and wherever possible, and described fault is followed the tracks of, and described fault is followed the tracks of, therefore solve and cannot detect elevator bearing in advance, elevator bearing repair and maintenance not in time, easily there is the problem of elevator accident, therefore both can detect elevator bearing in time, greatly reduce the probability that elevator accident occurs, also the time of elevator bearing repair and maintenance can be reduced, improve the detection efficiency of elevator bearing.

embodiment three

Present embodiment describes the realization flow setting up time domain waveform degradation model, details are as follows:

Set up time domain waveform degradation model, described time domain waveform degradation model comprises:

Amplitude variations Modulus Model:

Wherein, amplitude variations Modulus Model comprises three indexs, and three indexs and respective reference value contrast, and three indexs are X respectively _peak, and X _rms, X _peakfor the real-time peak value of time domain waveform, for average, X that time domain waveform is real-time _rmsfor the mean effective value that time domain waveform is real-time, the reference value of three indexs is Xi respectively _peak, and Xi _rms, Xi _peakfor time domain waveform reference peak value, for average, the Xi of time domain waveform reference _rmsfor the mean effective value of time domain waveform reference, can according to three indexs and respective reference value generating amplitude transformation ran ratio α ₁;

Time domain waveform Modulus Model:

${\mathrm{\α}}_2=\frac{X_{\mathrm{peak}}}{\stackrel{\‾}{X}}$

Wherein, α ₂for time domain waveform coefficient, X _peakfor the real-time peak value of time domain waveform, for the average that time domain waveform is real-time;

Probability density Modulus Model:

${\mathrm{\α}}_3=\frac{1}{\sqrt{2\mathrm{\π\σ}}}\exp (-\frac{{(x-u)}^2}{{2\mathrm{\σ}}^2})$

Wherein, α ₃for probability density coefficient, μ is average, and σ is standard deviation, and when σ is too small, probability density curve is concentrated, and represent that elevator bearing there occurs and impact class fault, when σ is excessive, probability density curve is disperseed, and represents that elevator bearing there occurs wearing and tearing class fault;

Kurtosis Modulus Model:

${\mathrm{\α}}_4=\frac{{\∫}_{-\∞}^{+\∞}{(x-\stackrel{\‾}{x})}^{4}p\left(x\right)\mathrm{dx}}{{\mathrm{\σ}}^4}$

Wherein, α ₄for kurtosis coefficient, x is instantaneous amplitude, for amplitude average, p (x) is probability density, and σ is standard deviation;

Crest factor model:

${\mathrm{\α}}_5=\frac{X_{\mathrm{peak}}}{X_{\mathrm{rms}}}$

Wherein, α ₅for time domain waveform coefficient, X _peakfor the real-time peak value of time domain waveform, for the average that time domain waveform is real-time, when form factor is excessive, represent that elevator bearing there occurs spot corrosion, when form factor is too small, represent that elevator bearing there occurs wearing and tearing.

Alternatively, amplitude variations Modulus Model also can be:

${\mathrm{\α}}_1=C_1*\frac{X_{\mathrm{peak}}}{{\mathrm{Xi}}_{\mathrm{peak}}}+C_2*\frac{\stackrel{\‾}{X}}{{\stackrel{\‾}{X}i}_{\mathrm{peak}}}+C_3*\frac{X_{\mathrm{rms}}}{{\mathrm{Xi}}_{\mathrm{rms}}}$

Wherein, α ₁for amplitude variations coefficient, X _peakfor the real-time peak value of time domain waveform, for average, X that time domain waveform is real-time _rmsfor the mean effective value that time domain waveform is real-time, Xi _peakfor time domain waveform reference peak value, for average, the Xi of time domain waveform reference _rmsfor the mean effective value of time domain waveform reference, C ₁for X _peakwith between the weight coefficient of ratio, C ₂for with between the weight coefficient of ratio, C ₃for X _rmswith Xi _rmsbetween the weight coefficient of ratio.In embodiments of the present invention, by time domain waveform degradation model, the time domain waveform of deterioration can be detected, and the time domain waveform of deterioration there will be, therefore both can detect elevator bearing in time, greatly reduce the probability that elevator accident occurs, also can reduce the time of elevator bearing repair and maintenance, improve the detection efficiency of elevator bearing.

embodiment four

Be that the embodiment of the present invention provides with reference to figure 3, Fig. 3, based on the realization flow figure of the repair and maintenance quality online evaluation method step S102 of elevator, details are as follows:

In step S301, set the weighted value that in described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, described crest factor, each coefficient is corresponding;

In step s 302, by described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, being multiplied of weighted value that described crest factor is corresponding with each coefficient respectively, value will be taken advantage of again to be added, generate elevator maintain and protection assessed value, according to described elevator maintain and protection assessed value, online evaluation is carried out to elevator maintain and protection quality.

By described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, being multiplied of weighted value that described crest factor is corresponding with each coefficient respectively, then value will be taken advantage of to be added, following formula can be adopted:

α＝d ₁*α ₁+d ₂*α ₂+d ₃*α ₃+d ₄*α ₄+d ₅*α ₅

Wherein, d ₁, d ₂, d ₃, d ₄, d ₅be respectively described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, weighted value that described crest factor is corresponding with each coefficient respectively, α is elevator maintain and protection assessed value.

Wherein, according to elevator maintain and protection assessed value, online evaluation is carried out to elevator maintain and protection quality, specifically by elevator maintain and protection assessed value compared with the assessed value scope preset, when repair and maintenance assessed value does not belong to default assessed value scope, can represent that elevator bearing exists fault.

In embodiments of the present invention, Fourier transform is carried out to low frequency envelope signal, obtain envelope frequency spectrum, according to envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of, and described fault is followed the tracks of, due to low frequency envelope signal can be got whenever and wherever possible, therefore detect that described elevator bearing exists fault whenever and wherever possible, and described fault is followed the tracks of, and described fault is followed the tracks of, therefore both can detect elevator bearing in time, greatly reduce the probability that elevator accident occurs, also the time of elevator bearing repair and maintenance can be reduced, improve the detection efficiency of elevator bearing.

embodiment five

With reference to the realization flow figure that figure 4, Fig. 4 is the repair and maintenance quality online evaluation method step S103 based on elevator that the embodiment of the present invention provides, details are as follows:

In step S401, when described time domain waveform deterioration, judge whether the bearing designation of described elevator bearing is known;

Judging described bearing designation whether in the bearing designation list prestored, by judging whether the bearing designation of described elevator bearing is known, or by judging pre-assigned known mark, judging whether the bearing designation of described elevator bearing is known.

In step S402, if described bearing designation is known, according to bearing specification sheets, obtain the eigentone of bearing, determine central frequency and the bandwidth of described bandpass filter.

Extract the picture material of bearing specification sheets, picture image recognition is entered to picture material, obtains the eigentone of bearing, determine central frequency and the bandwidth of described bandpass filter.

In step S403, if described bearing designation is unknown, described for acquisition bearing vibration signal is carried out Fourier transform, determines the eigentone of bearing, thus determine central frequency and the bandwidth of the bandpass filter preset.

In embodiments of the present invention, by central frequency and the bandwidth of bandpass filter, in all signals, weed out noise signal, to leach the intrinsic vibration signal of elevator bearing, be convenient to follow-uply carry out envelope demodulation process.

embodiment six

Be the implementing procedure figure of the embodiment of the present invention based on the repair and maintenance quality online evaluation method step S105 of elevator with reference to figure 5, Fig. 5, details are as follows:

In step S501, Fourier transform is carried out to described low frequency envelope signal, obtains envelope frequency spectrum, obtain the rotating speed of described elevator bearing, generate elevator bearing fault characteristic frequency according to the rotating speed of described elevator bearing;

In step S502, detect in described envelope frequency spectrum and whether there is described elevator bearing fault characteristic frequency;

In step S503, when there is described elevator bearing fault characteristic frequency in described envelope frequency spectrum, detecting that described elevator bearing exists fault, and described fault is followed the tracks of.

Wherein, envelope frequency spectrum medium frequency is mated with described elevator bearing fault characteristic frequency, when matching described elevator bearing fault characteristic frequency, representing in envelope frequency spectrum to there is described elevator bearing fault characteristic frequency, namely there is fault in the elevator bearing corresponding with this envelope frequency spectrum.

In embodiments of the present invention, Fourier transform is carried out to low frequency envelope signal, obtain envelope frequency spectrum, according to envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of, and described fault is followed the tracks of, due to low frequency envelope signal can be got whenever and wherever possible, therefore detect that described elevator bearing exists fault whenever and wherever possible, and described fault is followed the tracks of, and described fault is followed the tracks of, therefore both can detect elevator bearing in time, greatly reduce the probability that elevator accident occurs, also the time of elevator bearing repair and maintenance can be reduced, improve the detection efficiency of elevator bearing.

embodiment seven

Fig. 6 is the first structured flowchart of the repair and maintenance quality online evaluation device 100 based on elevator that the embodiment of the present invention provides, and this device can run on server.For convenience of explanation, illustrate only part related to the present embodiment.

With reference to Fig. 6, based on the repair and maintenance quality online evaluation device 100 of elevator, should comprise:

Acquisition module 61, for obtaining the temperature signal of the temperature sensor 300 be arranged on elevator bearing and being arranged on the vibration signal of the vibration sensor 400 on elevator bearing;

Elevator maintain and protection assessed value generation module 62, for the time domain waveform of the time domain waveform and described vibration signal that show described temperature signal, according to the time domain waveform of described temperature signal, the time domain waveform of described vibration signal and the time domain waveform degradation model set up in advance, online evaluation is carried out to elevator maintain and protection quality;

Bandpass filter determination module 63, for when described time domain waveform is deteriorated, determine central frequency and the bandwidth of the bandpass filter preset, by described bandpass filter, filtering process is carried out to described vibration signal, the low frequency component of filtered signal, obtain the high fdrequency component in bearing vibration signal, envelope demodulation process is carried out to elevator bearing high fdrequency component, obtain the vibration envelope signal of damage of the bearing and defect;

Low frequency envelope signal acquisition module 64, for

There is fault detection module 65 in elevator bearing, for carrying out Fourier transform to described low frequency envelope signal, obtain envelope frequency spectrum, obtain the rotating speed of described elevator bearing, elevator bearing fault characteristic frequency is generated according to the rotating speed of described elevator bearing, according to described envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of.

In a kind of implementation of the present embodiment, be the second structured flowchart of the elevator bearing detecting device 100 that the embodiment of the present invention provides with reference to figure 7, Fig. 7, in this repair and maintenance quality online evaluation device 100 based on elevator, also comprise:

Time domain waveform degradation model building module 66, for setting up time domain waveform degradation model, described time domain waveform degradation model comprises:

Set up time domain waveform degradation model, described time domain waveform degradation model comprises:

Amplitude variations Modulus Model:

Wherein, amplitude variations Modulus Model comprises three indexs, and three indexs and respective reference value contrast, and three indexs are X respectively _peak, and X _rms, X _peakfor the real-time peak value of time domain waveform, for average, X that time domain waveform is real-time _rmsfor the mean effective value that time domain waveform is real-time, the reference value of three indexs is Xi respectively _peak, and Xi _rms, Xi _peakfor time domain waveform reference peak value, for average, the Xi of time domain waveform reference _rmsfor the mean effective value of time domain waveform reference, can according to three indexs and respective reference value generating amplitude transformation ran ratio α ₁;

Time domain waveform Modulus Model:

${\mathrm{\α}}_2=\frac{X_{\mathrm{peak}}}{\stackrel{\‾}{X}}$

Wherein, α ₂for time domain waveform coefficient, X _peakfor the real-time peak value of time domain waveform, for the average that time domain waveform is real-time;

Probability density Modulus Model:

${\mathrm{\α}}_3=\frac{1}{\sqrt{2\mathrm{\π\σ}}}\exp (-\frac{{(x-u)}^2}{{2\mathrm{\σ}}^2})$

Wherein, α ₃for probability density coefficient, μ is average, and σ is standard deviation, and when σ is too small, probability density curve is concentrated, and represent that elevator bearing there occurs and impact class fault, when σ is excessive, probability density curve is disperseed, and represents that elevator bearing there occurs wearing and tearing class fault;

Kurtosis Modulus Model:

${\mathrm{\α}}_4=\frac{{\∫}_{-\∞}^{+\∞}{(x-\stackrel{\‾}{x})}^{4}p\left(x\right)\mathrm{dx}}{{\mathrm{\σ}}^4}$

Wherein, α ₄for kurtosis coefficient, x is instantaneous amplitude, for amplitude average, p (x) is probability density, and σ is standard deviation;

Crest factor model:

${\mathrm{\α}}_5=\frac{X_{\mathrm{peak}}}{X_{\mathrm{rms}}}$

Wherein, α ₅for time domain waveform coefficient, X _peakfor the real-time peak value of time domain waveform, for the average that time domain waveform is real-time, when form factor is excessive, represent that elevator bearing there occurs spot corrosion, when form factor is too small, represent that elevator bearing there occurs wearing and tearing.

In a kind of implementation of the present embodiment, with reference to figure 8, Fig. 8 is the 3rd structured flowchart of the elevator bearing detecting device 100 that the embodiment of the present invention provides, and in this repair and maintenance quality online evaluation device 100 based on elevator, described elevator maintain and protection assessed value generation module 62 comprises:

Weighted value setup unit 621, for setting the weighted value that in described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, described crest factor, each coefficient is corresponding;

Elevator maintain and protection assessed value generation unit 622, for by described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, being multiplied of weighted value that described crest factor is corresponding with each coefficient respectively, value will be taken advantage of again to be added, generate elevator maintain and protection assessed value, according to described elevator maintain and protection assessed value, online evaluation is carried out to elevator maintain and protection quality.

In a kind of implementation of the present embodiment, with reference to figure 9, Fig. 9 is the 4th structured flowchart of the elevator bearing detecting device 100 that the embodiment of the present invention provides, and in this repair and maintenance quality online evaluation device 100 based on elevator, described bandpass filter determination module 63 comprises:

Bearing designation judging unit 631, for described when described time domain waveform is deteriorated, judges whether the bearing designation of described elevator bearing is known;

Bearing resonance frequency input block 632, if for described bearing designation in the bearing designation list prestored, inputs the bearing resonance frequency corresponding with described bearing designation;

Bandpass filter determining unit 633, if for described bearing designation not in the bearing designation list prestored, obtain the tach signal of the tachogen 500 be arranged on towing machine, the time domain waveform obtaining described tach signal is carried out Fourier transform, determines central frequency and the bandwidth of the bandpass filter preset.

The device that the embodiment of the present invention provides can be applied in the embodiment of the method for aforementioned correspondence, and details, see the description of above-described embodiment, do not repeat them here.

Through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required common hardware by software and realizes.Described program can be stored in read/write memory medium, described storage medium, as random access memory, flash memory, read-only memory (ROM), Programmable Read Only Memory, electrically erasable programmable memory device, register etc.This storage medium is arranged on memory device, and treater reads the information in memory device, performs the method described in each embodiment of the present invention in conjunction with its hardware.

The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.

Claims (10)

1., based on a repair and maintenance quality online evaluation method for elevator, it is characterized in that, comprising:

Obtain the temperature signal of the temperature sensor be arranged on elevator bearing and be arranged on the vibration signal of the vibration sensor on elevator bearing;

Show the time domain waveform of described temperature signal and the time domain waveform of described vibration signal, according to the time domain waveform of described temperature signal, the time domain waveform of described vibration signal and the time domain waveform degradation model set up in advance, online evaluation is carried out to elevator maintain and protection quality;

When described time domain waveform deterioration, determine central frequency and the bandwidth of the bandpass filter preset, by described bandpass filter, filtering process is carried out to described vibration signal, the low frequency component of filtered signal, obtain the high fdrequency component in bearing vibration signal, envelope demodulation process is carried out to elevator bearing high fdrequency component, obtains the vibration envelope signal of damage of the bearing and defect;

Fourier transform is carried out to described low frequency envelope signal, obtain envelope frequency spectrum, obtain the rotating speed of described elevator bearing, elevator bearing fault characteristic frequency is generated according to the rotating speed of described elevator bearing, according to described envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of.

2. method according to claim 1, it is characterized in that, in the time domain waveform of the described temperature signal of described display and the time domain waveform of described vibration signal, according to the time domain waveform of described temperature signal, the time domain waveform of described vibration signal and the time domain waveform degradation model set up in advance, before online evaluation is carried out to elevator maintain and protection quality, comprising:

Set up time domain waveform degradation model, described time domain waveform degradation model comprises:

Amplitude variations Modulus Model:

Wherein, amplitude variations Modulus Model comprises three indexs, and three indexs and respective reference value contrast, and three indexs are X respectively _peak, and X _rms, X _peakfor the real-time peak value of time domain waveform, for average, X that time domain waveform is real-time _rmsfor the mean effective value that time domain waveform is real-time, the reference value of three indexs is Xi respectively _peak, and Xi _rms, Xi _peakfor time domain waveform reference peak value, for average, the Xi of time domain waveform reference _rmsfor the mean effective value of time domain waveform reference, can according to three indexs and respective reference value generating amplitude transformation ran ratio α ₁;

Time domain waveform Modulus Model:

Wherein, α ₂for time domain waveform coefficient, X _peakfor the real-time peak value of time domain waveform, for the average that time domain waveform is real-time;

Probability density Modulus Model:

Wherein, α ₃for probability density coefficient, μ is average, and σ is standard deviation, and when σ is too small, probability density curve is concentrated, and represent that elevator bearing there occurs and impact class fault, when σ is excessive, probability density curve is disperseed, and represents that elevator bearing there occurs wearing and tearing class fault;

Kurtosis Modulus Model:

Wherein, α ₄for kurtosis coefficient, x is instantaneous amplitude, for amplitude average, p (x) is probability density, and σ is standard deviation;

Crest factor model:

Wherein, α ₅for time domain waveform coefficient, X _peakfor the real-time peak value of time domain waveform, for the average that time domain waveform is real-time, when form factor is excessive, represent that elevator bearing there occurs spot corrosion, when form factor is too small, represent that elevator bearing there occurs wearing and tearing.

3. method according to claim 2, it is characterized in that, in the time domain waveform of the described temperature signal of described display and the time domain waveform of described vibration signal, according to the time domain waveform of described temperature signal, the time domain waveform of described vibration signal and the time domain waveform degradation model set up in advance, online evaluation is carried out to elevator maintain and protection quality, is specially:

Set the weighted value that in described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, described crest factor, each coefficient is corresponding;

By described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, being multiplied of weighted value that described crest factor is corresponding with each coefficient respectively, value will be taken advantage of again to be added, generate elevator maintain and protection assessed value, according to described elevator maintain and protection assessed value, online evaluation is carried out to elevator maintain and protection quality.

4. method according to claim 1, is characterized in that, described when described time domain waveform deterioration, determines central frequency and the bandwidth of the bandpass filter preset, is specially:

When described time domain waveform deterioration, judge whether the bearing designation of described elevator bearing is known;

If described bearing designation is known, according to bearing specification sheets, obtain the eigentone of bearing, determine central frequency and the bandwidth of described bandpass filter;

If described bearing designation is unknown, described for acquisition bearing vibration signal is carried out Fourier transform, determines the eigentone of bearing, thus determine central frequency and the bandwidth of the bandpass filter preset.

5. method according to claim 1, it is characterized in that, described Fourier transform is carried out to described low frequency envelope signal, obtain envelope frequency spectrum, obtain the rotating speed of described elevator bearing, generate elevator bearing fault characteristic frequency according to the rotating speed of described elevator bearing, according to described envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault followed the tracks of, be specially:

Fourier transform is carried out to described low frequency envelope signal, obtains envelope frequency spectrum, obtain the rotating speed of described elevator bearing, generate elevator bearing fault characteristic frequency according to the rotating speed of described elevator bearing;

Detect in described envelope frequency spectrum and whether there is described elevator bearing fault characteristic frequency;

When there is described elevator bearing fault characteristic frequency in described envelope frequency spectrum, detecting that described elevator bearing exists fault, and described fault is followed the tracks of.

6., based on a repair and maintenance quality online evaluation device for elevator, it is characterized in that, comprising:

Acquisition module, for obtaining the temperature signal of the temperature sensor be arranged on elevator bearing and being arranged on the vibration signal of the vibration sensor on elevator bearing;

Elevator maintain and protection assessed value generation module, for the time domain waveform of the time domain waveform and described vibration signal that show described temperature signal, according to the time domain waveform of described temperature signal, the time domain waveform of described vibration signal and the time domain waveform degradation model set up in advance, online evaluation is carried out to elevator maintain and protection quality;

Bandpass filter determination module, for when described time domain waveform is deteriorated, determine central frequency and the bandwidth of the bandpass filter preset, by described bandpass filter, filtering process is carried out to described vibration signal, the low frequency component of filtered signal, obtain the high fdrequency component in bearing vibration signal, envelope demodulation process is carried out to elevator bearing high fdrequency component, obtain the vibration envelope signal of damage of the bearing and defect;

There is fault detection module in elevator bearing, for carrying out Fourier transform to described low frequency envelope signal, obtain envelope frequency spectrum, obtain the rotating speed of described elevator bearing, elevator bearing fault characteristic frequency is generated according to the rotating speed of described elevator bearing, according to described envelope frequency spectrum and described elevator bearing fault characteristic frequency, detect that described elevator bearing exists fault, and described fault is followed the tracks of.

7. device according to claim 6, is characterized in that, described device also comprises:

Set up time domain waveform degradation model, described time domain waveform degradation model comprises:

Amplitude variations Modulus Model:

Wherein, amplitude variations Modulus Model comprises three indexs, and three indexs and respective reference value contrast, and three indexs are X respectively _peak, and X _rms, X _peakfor the real-time peak value of time domain waveform, for average, X that time domain waveform is real-time _rmsfor the mean effective value that time domain waveform is real-time, the reference value of three indexs is Xi respectively _peak, and Xi _rms, Xi _peakfor time domain waveform reference peak value, for average, the Xi of time domain waveform reference _rmsfor the mean effective value of time domain waveform reference, can according to three indexs and respective reference value generating amplitude transformation ran ratio α ₁;

Time domain waveform Modulus Model:

Wherein, α ₂for time domain waveform coefficient, X _peakfor the real-time peak value of time domain waveform, for the average that time domain waveform is real-time;

Probability density Modulus Model:

Wherein, α ₃for probability density coefficient, μ is average, and σ is standard deviation, and when σ is too small, probability density curve is concentrated, and represent that elevator bearing there occurs and impact class fault, when σ is excessive, probability density curve is disperseed, and represents that elevator bearing there occurs wearing and tearing class fault;

Kurtosis Modulus Model:

Wherein, α ₄for kurtosis coefficient, x is instantaneous amplitude, for amplitude average, p (x) is probability density, and σ is standard deviation;

Crest factor model:

Wherein, α ₅for time domain waveform coefficient, X _peakfor the real-time peak value of time domain waveform, for the average that time domain waveform is real-time, when form factor is excessive, represent that elevator bearing there occurs spot corrosion, when form factor is too small, represent that elevator bearing there occurs wearing and tearing.

8. device according to claim 7, is characterized in that, described elevator maintain and protection assessed value generation module comprises:

Weighted value setup unit, for setting the weighted value that in described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, described crest factor, each coefficient is corresponding;

Elevator maintain and protection assessed value generation unit, for by described amplitude variations coefficient, described time domain waveform coefficient, described probability density coefficient, described kurtosis coefficient, being multiplied of weighted value that described crest factor is corresponding with each coefficient respectively, value will be taken advantage of again to be added, generate elevator maintain and protection assessed value, according to described elevator maintain and protection assessed value, online evaluation is carried out to elevator maintain and protection quality.

9. device according to claim 6, is characterized in that, described bandpass filter determination module comprises:

Bearing designation judging unit, for described when described time domain waveform is deteriorated, judges whether the bearing designation of described elevator bearing is known;

Bearing resonance frequency input block, if known for described bearing designation, according to bearing specification sheets, obtains the eigentone of bearing, determines central frequency and the bandwidth of described bandpass filter;

Bandpass filter determining unit, if described bearing designation is unknown, carries out Fourier transform by described for acquisition bearing vibration signal, determines the eigentone of bearing, thus determine central frequency and the bandwidth of the bandpass filter preset.

10. the repair and maintenance quality online evaluation system based on elevator, it is characterized in that, comprise the repair and maintenance quality online evaluation device based on elevator of claim 6 to 9 any one, be arranged on the temperature sensor on elevator bearing, the tachogen being arranged on the vibration sensor on elevator bearing and being arranged on towing machine, wherein, between described elevator bearing detecting device and the described temperature sensor be arranged on elevator bearing, connected by data collection station, between described elevator bearing detecting device and the described vibration sensor be arranged on elevator bearing, connected by data collection station, between described elevator bearing detecting device and the tachogen being arranged on towing machine, connected by data collection station.