CN108750856A - A kind of elevator platform detecting system and method based on vibration analysis - Google Patents
A kind of elevator platform detecting system and method based on vibration analysis Download PDFInfo
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- CN108750856A CN108750856A CN201711329931.6A CN201711329931A CN108750856A CN 108750856 A CN108750856 A CN 108750856A CN 201711329931 A CN201711329931 A CN 201711329931A CN 108750856 A CN108750856 A CN 108750856A
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
- G01H1/12—Measuring characteristics of vibrations in solids by using direct conduction to the detector of longitudinal or not specified vibrations
- G01H1/14—Frequency
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
- G01H1/12—Measuring characteristics of vibrations in solids by using direct conduction to the detector of longitudinal or not specified vibrations
- G01H1/16—Amplitude
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
Abstract
The present invention provides a kind of elevator platform detecting system based on vibration analysis, including vibration signals collecting unit, real-time vibration analysis unit, vibration comparing unit, alarm unit and big data platform, vibration signals collecting unit is mounted in lift car and acquires the vibration signal in lift car in real time, vibration signals collecting unit is connected to real-time vibration analysis unit, real-time vibration analysis unit is connected to big data platform and the result that it is analyzed is sent to big data platform, and vibration comparing unit sends alarm signal to alarm unit and elevator maintenance department.The present invention carries out vibration analysis by vibration information, analysis in real time obtains the vibration signal attribute of car when elevator platform operation, it is compared with the reference signal of platform according to live signal, it is whether normal that state of elevator is provided after comprehensive descision, the present invention can acquire and judge vibration signal attribute under elevator normal operating condition and abnormal operational conditions, according to different vibration signal attributes.
Description
Technical field
The present invention relates to vibration signal detection field more particularly to a kind of elevator platform detection systems based on vibration analysis
System.
Background technology
Elevator is as a important building vehicles, and the normal operation majority of elevator can obtain in car
Corresponding vibrational feedback, thus the vibrational state of lift car is monitored particularly significant.Existing state of elevator detection mode,
Artificial detection etc. is only periodically carried out, no real-time elevator car systems vibration data reports.Or only for being regarded in car
Audio data collecting, vibration analysis when without being run about lift car, accurately judges state of elevator.
The current existing method that elevator operation is judged by vibration detection, such as Chinese patent application
CN201410031239.5 discloses a kind of vibration of elevator detection alarm method, microcontroller, vibrating sensing is equipped in this method
Device and acoustic-optic alarm, in elevator operation, microcontroller feels the abnormal vibrations of elevator by vibrating sensor
It answers, if someone's movement range in car crosses ambassador's elevator generation abnormal vibrations, microcontroller is in the sense for receiving sensor
Acoustic-optic alarm alarm is controlled after induction signal, to be warned to the passenger in car, by above-mentioned process, can effectively be dropped
Threat of the low human factor to lift running safety, improves the safety of elevator.But there is also limitations for the program, for example,
The technical solution mainly according to the live signal in car, it should be particularly mentioned that the abnormal elevator caused by passenger strenuous exercise vibration
It is detected and gives and alarm, handled only for the abnormal vibrations caused by passenger strenuous exercise, and for elevator day
The vibration signal often generated when work, if occurring abnormal（Such as the improper operating of elevator motor, elevator rope collision, elevator car
The abnormal machine performance such as compartment collision）And have no way of feeding back, and such improper machine performance is often the omen for causing elevator accident,
It especially needs to carry out feedback alarm.
Invention content
To solve the problems in background technology, the present invention provides a kind of elevator platform detecting system based on vibration analysis.
The elevator platform detecting system based on vibration analysis includes vibration signals collecting unit, real-time vibration analysis list
Member, vibration comparing unit, alarm unit and big data platform, vibration signals collecting unit are mounted in lift car and adopt in real time
Collect the vibration signal in lift car, vibration signals collecting unit is connected to real-time vibration analysis unit, and shakes collected
Dynamic signal is sent to real-time vibration analysis unit, and real-time vibration analysis unit analyzes received vibration signal, point
The vibration of lift car entirety when the vibration frequency and intensity and manned elevator of lift car itself when elevator no-load is not obtained
Frequency and intensity, real-time vibration analysis unit are connected to big data platform and the result that it is analyzed are sent to big data and put down
Platform, real-time vibration analysis unit be additionally coupled to vibration comparing unit and by the result of above-mentioned analysis be also sent to vibration it is more single
Its own background reference information stored is sent to by member, signal of the big data platform transmitted by real-time vibration analysis unit
Comparing unit is vibrated, vibrates comparing unit by the analysis result and background transmitted by real-time vibration analysis unit and big data platform
Reference information is compared, and judges whether to need to alarm, and if necessary to alarm, then sends alarm signal to alarm unit and elevator
Maintenance department.
Further, vibration acquisition unit uses vibration pickup and/or PZT (piezoelectric transducer).
Further, real-time vibration analysis unit includes in general purpose processing device CPU, ARM, DSP, GPU, FPGA, ASIC
It is one or more.
Further, vibration comparing unit includes one in general purpose processing device CPU, ARM, DSP, GPU, FPGA, ASIC
Kind is a variety of.
The elevator platform detection method based on vibration analysis that the present invention also provides a kind of, this method application above system are simultaneously wrapped
Include following steps：
（1）Vibration acquisition unit acquires the vibration signal in lift car in real time；
（2）The vibration signal acquired is sent to real-time vibration analysis unit by vibration acquisition unit；
（3）Real-time vibration analysis unit analyzes the frequency and intensity of vibration signal by the method for vibration analysis；
（4）The frequency and intensity of the vibration signal analyzed are sent to vibration comparing unit by real-time vibration analysis unit；
（5）Comparing unit is vibrated by the frequency and intensity and big data platform of the vibration signal transmitted by real-time vibration analysis unit
In reference information be compared, if comparison result is consistent, be then judged as elevator normal operation, if comparison result differs
It causes, then enters in next step；
（6）Vibration comparing unit is judged as misoperation for the inconsistent vibration signal of comparison result, alert demand of concurrently delivering newspaper
To alarm unit；
（7）Alarm unit alarm while alarm signal is sent to elevator maintenance department.
Further, the method for vibration analysis includes the means such as discrete transform, weighted filtering, spectra calculation.
Further, which further includes the depth analysis to vibration signal, is specifically included：
The frequency and intensity of the vibration signal analyzed are sent to big data platform by A1, real-time vibration analysis unit；
A2, big data platform carry out depth by the means of neural network, SVM, grader and deep learning to vibration signal
Analysis, obtains vibrational state.
Further, which further includes the learning process to vibration signal, is specifically included：
The frequency and intensity of the vibration signal analyzed are sent to big data platform by B1, real-time vibration analysis unit；
B2, big data platform transfer known vibration signal attribute, by known vibration signal attribute and real-time vibration analysis unit
The frequency and intensity of vibration signal at institute's analysis are compared；
B3, big data platform correct the known vibration signal attribute of itself storage according to comparison result；
During real-time vibration analysis unit constantly sends signal, big data platform is constantly repaiied by repeating step B2-B3
The just data information of itself storage.
The beneficial effects of the invention are as follows：The present invention carries out vibration analysis by vibration information, and it is flat to obtain elevator for analysis in real time
The vibration signal attribute of car when platform is run（Including but not limited to vibration frequency, intensity etc.）, according to live signal and platform
Reference signal is compared, and whether provide state of elevator after comprehensive descision normal, platform reference information by big data platform according to
The daily operating of elevator collected vibration signal synthesis provide, the present invention can judge elevator normal operating condition and it is non-just
Under normal operating status.
Description of the drawings
Fig. 1 is the system flow chart of the present invention.
Fig. 2 is detecting system position view.
Fig. 3 is the collected signal graph of vibration acquisition unit.
Fig. 4 is the signal spectrum of Fig. 3.
Specific implementation mode
Technical scheme of the present invention is described further with reference to embodiments, it should be noted that embodiment is only
It is to play the role of detailed description, is not limitation of the invention.
Embodiment 1, the elevator platform detecting system based on vibration analysis.
The elevator platform detecting system of the present embodiment includes vibration signals collecting unit, real-time vibration analysis unit, vibration
Comparing unit, alarm unit and big data platform, vibration signals collecting unit vibration acquisition unit use vibration pickup and/or piezoelectricity
Energy converter, vibration signals collecting unit are mounted in lift car and acquire in real time the vibration signal in lift car, shake in real time
Dynamic analytic unit may be used one or more in general purpose processing device CPU, ARM, DSP, GPU, FPGA, ASIC.Vibration ratio
It may be used compared with unit one or more in general purpose processing device CPU, ARM, DSP, GPU, FPGA, ASIC.Vibration signal is adopted
Collection unit is connected to real-time vibration analysis unit, and collected vibration signal is sent to real-time vibration analysis unit, in real time
Vibration analysis unit analyzes received vibration signal, the vibration of lift car itself when respectively obtaining elevator no-load
The vibration frequency and intensity of lift car entirety when frequency and intensity and manned elevator, real-time vibration analysis unit are connected to greatly
The result that it is analyzed simultaneously is sent to big data platform by data platform, and it is more single that real-time vibration analysis unit is additionally coupled to vibration
The result of above-mentioned analysis is simultaneously also sent to vibration comparing unit by member, and big data platform is according to transmitted by real-time vibration analysis unit
Signal its own background reference information stored is sent to vibration comparing unit, vibration comparing unit is by real-time vibration analysis
Analysis result and background reference information transmitted by unit and big data platform are compared, and judge whether to need to alarm, if
It needs to alarm, then sends alarm signal to alarm unit and elevator maintenance department.
Embodiment 2, the elevator platform detection method based on vibration analysis.
Detecting system in the detection method Application Example 1 of the present embodiment, and include the following steps：
（1）Vibration acquisition unit acquires the vibration signal in lift car in real time；
（2）The vibration signal acquired is sent to real-time vibration analysis unit by vibration acquisition unit；
（3）Real-time vibration analysis unit is by including but not limited to shaking for the means such as discrete transform, weighted filtering, spectra calculation
The method of dynamic analysis analyzes the frequency and intensity of vibration signal；
For example, Fig. 3 is the collected signal of vibration acquisition unit, the signal collected known to analysis includes modulation intelligence, into
One step carries out spectrum analysis to acquisition signal, obtains the spectrum modulation signal, as shown in figure 4, the elevator exists as can be seen from Fig. 4
30Hz vibroseismic signals.
（4）The frequency and intensity of the vibration signal analyzed are sent to vibration comparing unit by real-time vibration analysis unit；
（5）Comparing unit is vibrated by the frequency and intensity and big data platform of the vibration signal transmitted by real-time vibration analysis unit
In reference information be compared, if comparison result is consistent, be then judged as elevator normal operation, if comparison result differs
It causes, then enters in next step；
（6）Vibration comparing unit is judged as misoperation for the inconsistent vibration signal of comparison result, alert demand of concurrently delivering newspaper
To alarm unit；
（7）Alarm unit alarm while alarm signal is sent to elevator maintenance department.
Other than above-mentioned detecting step, detection method of the invention further includes the depth analysis to vibration signal, specifically
Including：
The frequency and intensity of the vibration signal analyzed are sent to big data platform by A1, real-time vibration analysis unit；
A2, big data platform carry out depth by the means of neural network, SVM, grader and deep learning to vibration signal
Analysis, obtains vibrational state.
In addition, in order to keep testing result more accurate, which further includes the automatic learning process to vibration signal,
The learning process specifically includes：
The frequency and intensity of the vibration signal analyzed are sent to big data platform by B1, real-time vibration analysis unit；
B2, big data platform transfer known vibration signal attribute, by known vibration signal attribute and real-time vibration analysis unit
The frequency and intensity of vibration signal at institute's analysis are compared；
B3, big data platform correct the known vibration signal attribute of itself storage according to comparison result；
During real-time vibration analysis unit constantly sends signal, big data platform is constantly repaiied by repeating step B2-B3
The just data information of itself storage.
Big data platform carries out self-teaching in the process constantly modified so that the data bank wherein stored more adds
It is kind, to the possibility for reducing wrong report and failing to report.
Claims (8)
1. a kind of elevator platform detecting system based on vibration analysis, characterized in that including vibration signals collecting unit, in real time shake
Dynamic analytic unit, vibration comparing unit, alarm unit and big data platform, vibration signals collecting unit are mounted in lift car
And the vibration signal in lift car is acquired in real time, vibration signals collecting unit is connected to real-time vibration analysis unit, and will adopt
The vibration signal collected is sent to real-time vibration analysis unit, and real-time vibration analysis unit carries out received vibration signal
Analysis, lift car is whole when the vibration frequency and intensity and manned elevator of lift car itself when respectively obtaining elevator no-load
Vibration frequency and intensity, real-time vibration analysis unit is connected to big data platform and the result that it is analyzed is sent to big number
According to platform, real-time vibration analysis unit is additionally coupled to vibrate comparing unit and the result of above-mentioned analysis is also sent to vibration to compare
Unit, signal of the big data platform transmitted by real-time vibration analysis unit send the background reference information that its own is stored
To vibration comparing unit, comparing unit is vibrated by the analysis result and the back of the body transmitted by real-time vibration analysis unit and big data platform
Scape reference information is compared, and judges whether to need to alarm, and if necessary to alarm, then sends alarm signal to alarm unit and electricity
Terraced maintenance department.
2. a kind of elevator platform detecting system based on vibration analysis according to claim 1, characterized in that vibration acquisition
Unit uses vibration pickup and/or PZT (piezoelectric transducer).
3. a kind of elevator platform detecting system based on vibration analysis according to claim 1, characterized in that vibration in real time
Analytic unit includes one or more in general purpose processing device CPU, ARM, DSP, GPU, FPGA, ASIC.
4. a kind of elevator platform detecting system based on vibration analysis according to claim 1, characterized in that vibration is compared
Unit includes one or more in general purpose processing device CPU, ARM, DSP, GPU, FPGA, ASIC.
5. a kind of elevator platform detection method based on vibration analysis, characterized in that this method application said detecting system, and wrap
Include following steps：
（1）Vibration acquisition unit acquires the vibration signal in lift car in real time；
（2）The vibration signal acquired is sent to real-time vibration analysis unit by vibration acquisition unit；
（3）Real-time vibration analysis unit analyzes the frequency and intensity of vibration signal by the method for vibration analysis；
（4）The frequency and intensity of the vibration signal analyzed are sent to vibration comparing unit by real-time vibration analysis unit；
（5）Comparing unit is vibrated by the frequency and intensity and big data platform of the vibration signal transmitted by real-time vibration analysis unit
In reference information be compared, if comparison result is consistent, be then judged as elevator normal operation, if comparison result differs
It causes, then enters in next step；
（6）Vibration comparing unit is judged as misoperation for the inconsistent vibration signal of comparison result, alert demand of concurrently delivering newspaper
To alarm unit；
（7）Alarm unit alarm while alarm signal is sent to elevator maintenance department.
6. a kind of elevator platform detection method based on vibration analysis according to claim 5, characterized in that vibration analysis
Method include the means such as discrete transform, weighted filtering, spectra calculation.
7. a kind of elevator platform detection method based on vibration analysis according to claim 5, characterized in that the detection side
Method further includes the depth analysis to vibration signal, is specifically included：
The frequency and intensity of the vibration signal analyzed are sent to big data platform by A1, real-time vibration analysis unit；
A2, big data platform carry out depth by the means of neural network, SVM, grader and deep learning to vibration signal
Analysis, obtains vibrational state.
8. a kind of elevator platform detection method based on vibration analysis according to claim 5, characterized in that the detection side
Method further includes the learning process to vibration signal, is specifically included：
The frequency and intensity of the vibration signal analyzed are sent to big data platform by B1, real-time vibration analysis unit；
B2, big data platform transfer known vibration signal attribute, by known vibration signal attribute and real-time vibration analysis unit
The frequency and intensity of vibration signal at institute's analysis are compared；
B3, big data platform correct the known vibration signal attribute of itself storage according to comparison result；
During real-time vibration analysis unit constantly sends signal, big data platform is constantly repaiied by repeating step B2-B3
The just data information of itself storage.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109281417A (en) * | 2018-11-13 | 2019-01-29 | 广州广日电梯工业有限公司 | A kind of elevator self energizing piezoelectricity shock mitigation system and method |
| CN109650204A (en) * | 2019-01-03 | 2019-04-19 | 盐城工学院 | A kind of vibration of elevator measurement method |
| CN109978026A (en) * | 2019-03-11 | 2019-07-05 | 浙江新再灵科技股份有限公司 | A kind of elevator position detection method and system based on LSTM network |
| CN110683443A (en) * | 2019-09-26 | 2020-01-14 | 宁夏电通物联网科技股份有限公司 | Elevator vibration detection and fault pre-judgment system and method |
| CN110683438A (en) * | 2019-10-15 | 2020-01-14 | 迅达（中国）电梯有限公司 | Elevator abnormal state reporting system |
| CN110980467A (en) * | 2019-12-24 | 2020-04-10 | 福建快科城建增设电梯股份有限公司 | Car running quality detection method |
| CN111056394A (en) * | 2019-12-24 | 2020-04-24 | 福建快科城建增设电梯股份有限公司 | Digital car vibration detection system and method thereof |
| CN112320520A (en) * | 2020-11-09 | 2021-02-05 | 浙江新再灵科技股份有限公司 | Elevator abnormal vibration detection method based on residual error analysis |
| WO2022141623A1 (en) * | 2021-01-04 | 2022-07-07 | 中南大学 | Train compartment vibration monitoring method, vibration signal feature library establishment method and vibration signal feature library application method |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109281417B (en) * | 2018-11-13 | 2024-03-26 | 广州广日电梯工业有限公司 | Self-powered piezoelectric damping system and method for elevator |
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| CN109650204A (en) * | 2019-01-03 | 2019-04-19 | 盐城工学院 | A kind of vibration of elevator measurement method |
| CN109978026B (en) * | 2019-03-11 | 2021-03-09 | 浙江新再灵科技股份有限公司 | Elevator position detection method and system based on LSTM network |
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| CN110980467A (en) * | 2019-12-24 | 2020-04-10 | 福建快科城建增设电梯股份有限公司 | Car running quality detection method |
| CN112320520A (en) * | 2020-11-09 | 2021-02-05 | 浙江新再灵科技股份有限公司 | Elevator abnormal vibration detection method based on residual error analysis |
| WO2022141623A1 (en) * | 2021-01-04 | 2022-07-07 | 中南大学 | Train compartment vibration monitoring method, vibration signal feature library establishment method and vibration signal feature library application method |
| US11988547B2 (en) | 2021-01-04 | 2024-05-21 | Central South University | Train compartment vibration monitoring method and vibration signal feature library establishment and application methods |
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