CN102718100B - Early warning system for elevator fault and early warning method for elevator fault - Google Patents
Early warning system for elevator fault and early warning method for elevator fault Download PDFInfo
- Publication number
- CN102718100B CN102718100B CN201210194098.XA CN201210194098A CN102718100B CN 102718100 B CN102718100 B CN 102718100B CN 201210194098 A CN201210194098 A CN 201210194098A CN 102718100 B CN102718100 B CN 102718100B
- Authority
- CN
- China
- Prior art keywords
- elevator
- car
- noise
- sensor
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention discloses an early warning system for an elevator fault and an early warning method for the elevator fault. The system comprises a monitoring center, a tractor sensor arranged on a tractor, an elevator car sensor on an elevator car, and a noise sensor arranged outside the elevator car, wherein the tractor sensor, the elevator car sensor and the noise sensor acquire vibration data and noise data of an elevator under different running stages, and transmit the data to the monitoring center, the monitoring center carries out fast fourier transform on the data, to obtain a vibration spectrogram and a noise spectrogram of the elevator under the different running stages, and compares with the vibration spectrogram and the noise spectrogram of the elevator under a normal running stage. The amplitude values of the frequency ranges are compared whether to be abnormal or not, so that the early warning of the elevator fault can be realized. According to the system disclosed by the invention, the fault condition of the elevator can be effectively forecast, the running safety of the elevator can be further improved, and the normal running of the elevator can be guaranteed.
Description
Technical field
The present invention relates to a kind of elevator faults forewarn system and method for early warning thereof.
Background technology
Elevator uses very extensive in modern architecture, daily life of can mediating a settlement interwoveness.In running process of elevator, need to ensure general safety performance, so just require whether elevator can normally work by all parts of OBD (On-Board Diagnostics) detection in real time.And at present technology is to the detection of elevator faults, mostly all can will detect when elevator produces fault, it does not possess warning function as seen, and if have people to take elevator when fault, then may there is danger, therefore be necessary to make improvements.
Summary of the invention
In order to overcome the deficiencies in the prior art, the invention provides a kind of elevator faults forewarn system and method for early warning thereof, can monitor the running state of elevator, prediction elevator faults, ensures elevator safety operation.
The technical solution adopted for the present invention to solve the technical problems is:
Elevator faults forewarn system, it is characterized in that comprising monitoring and control centre, the car sensor being arranged at the towing machine sensor on towing machine and being arranged on car, described towing machine sensor is connected with monitoring and control centre respectively with car sensor, when having elevator normal operation in described monitoring and control centre, towing machine is at the spectrogram of each operation phase and the car spectrogram in each operation phase, and monitoring and control centre can carry out process contrast to the data of towing machine sensor and car sensor.
Described towing machine sensor and car sensor are 3-axis acceleration sensor.
Described lift car is outside equipped with the sensor noise be connected with monitoring and control centre, and when having elevator normal operation in described monitoring and control centre, car external noise is at the spectrogram of each operation phase, and monitoring and control centre can carry out process contrast to the data of sensor noise.
Elevator faults method for early warning, is characterized in that including following steps:
When step one, elevator operation, by being arranged at towing machine sensor on towing machine, being arranged at the car sensor on car and being arranged on the noise data outside the vibration data of collection elevator towing machine, car under the different motion stage of car external noise sensor and car, and transfer to monitoring and control centre;
Step 2, monitoring and control centre carry out fast Fourier transform to the noise data outside the vibration data of towing machine, car and car, draw towing machine, the cabin elevator rumble spectrum figure under the different motion stage, and the outer noise pattern of elevator under the different motion stage of car;
Step 3, monitoring and control centre is the rumble spectrum figure gathered, the rumble spectrum figure of the elevator normal operation of noise pattern and monitoring and control centre internal memory, noise pattern contrasts, if the towing machine rumble spectrum figure gathered, car vibrations spectrogram, any one or multiple spectrograms 1.5 ~ 3 times of normal amplitude under the amplitude of certain frequency range or multiple frequency range is more than or equal to this frequency range in car external noise spectrogram, then assert that elevator occurs or will break down, carry out early warning, and overhaul, if all do not exceed 1.5 ~ 3 times of normal amplitude in the amplitude of full frequency band, then think that elevator is in normal operation.
In described step 3, if the towing machine rumble spectrum figure gathered, car vibrations spectrogram, any one or multiple spectrograms 2 times of normal amplitude under the amplitude of certain frequency range or multiple frequency range is more than or equal to this frequency range in car external noise spectrogram, then assert that elevator occurs or will break down, carry out early warning, if all do not exceed 2 times of normal amplitude in the amplitude of full frequency band, then think that elevator is in normal operation.
The invention has the beneficial effects as follows: the present invention is by being arranged at the towing machine sensor on towing machine, be arranged at the car sensor on car and be arranged on the sensor noise collection elevator towing machine under the different motion stage outside car, noise data outside the vibration data of car and car, and transfer to monitoring and control centre, monitoring and control centre is to towing machine, noise data outside the vibration data of car and car carries out fast Fourier transform, draw towing machine, the rumble spectrum figure of cabin elevator under the different motion stage, and the outer noise pattern of elevator under the different motion stage of car, and with the rumble spectrum figure of elevator normal operation, noise pattern contrasts, whether the amplitude contrasting each frequency range is abnormal, realize the early warning of elevator faults, its method of inspection is novel, practicality is high, very reliable, by system of the present invention, effectively can predict the failure condition of elevator, further increase the safety that elevator runs, ensure that the normal operation of elevator.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the present invention is further described:
Fig. 1 is system chart of the present invention;
Fig. 2 is the contrast spectrogram of elevator in a certain operation phase.
Detailed description of the invention
Be clearly and completely described below with reference to embodiment and the accompanying drawing technique effect to design of the present invention, concrete structure and generation, to understand object of the present invention, characteristic sum effect fully.Obviously; described embodiment is a part of embodiment of the present invention, instead of whole embodiment, based on embodiments of the invention; other embodiments that those skilled in the art obtains under the prerequisite not paying creative work, all belong to the scope of protection of the invention.
With reference to Fig. 1, elevator faults forewarn system of the present invention, comprise monitoring and control centre 1, the car sensor 3 being arranged at the towing machine sensor 2 on towing machine and being arranged on car, towing machine sensor 2 and car sensor 3 are 3-axis acceleration sensor, and towing machine sensor 2 is connected with monitoring and control centre 1 respectively with car sensor 3, monitoring and control centre 1 can be local PC can be also remote terminal, selects according to actual needs.
When having elevator normal operation in monitoring and control centre 1, towing machine is at the spectrogram of each operation phase and the car spectrogram in each operation phase, and monitoring and control centre 1 can carry out fast Fourier transform process to the data of towing machine sensor 2 and car sensor 3, and contrast with spectrogram during contrast normal operation, thus effectively can predict the failure condition of elevator, improve the safety that elevator runs, ensure that the normal operation of elevator.
In a preferred approach, in order to improve pre-alerting ability further, the sensor noise 4 be connected with monitoring and control centre 1 can be outside equipped with at lift car, when having elevator normal operation in monitoring and control centre 1, car external noise is at the spectrogram of each operation phase, and monitoring and control centre 1 can carry out fast Fourier transform process to the data of sensor noise 4, and contrast with spectrogram during contrast normal operation, thus improve pre-alerting ability and the reliability of elevator faults forewarn system of the present invention further.
Elevator faults method for early warning of the present invention, in conjunction with above-mentioned elevator faults forewarn system, includes following steps:
When step one, elevator operation, by being arranged at towing machine sensor 2 on towing machine, being arranged at the car sensor 3 on car and being arranged on the noise data outside the three shaft vibration data of collection elevator towing machine, car under the different motion stage of car external noise sensor 4 and car, and transfer to monitoring and control centre 1;
Noise data outside three shaft vibration data of step 2, monitoring and control centre 1 pair of towing machine, car and car carries out fast Fourier transform, draw towing machine, the cabin elevator rumble spectrum figure under the different motion stage, and the outer noise pattern of elevator under the different motion stage of car;
Step 3, monitoring and control centre 1 is the rumble spectrum figure gathered, the rumble spectrum figure of the elevator normal operation of noise pattern and monitoring and control centre 1 internal memory, noise pattern contrasts, if the towing machine rumble spectrum figure gathered, car vibrations spectrogram, any one or multiple spectrograms 2 times of normal amplitude under the amplitude of certain frequency range or multiple frequency range is more than or equal to this frequency range in car external noise spectrogram, then assert that elevator occurs or will break down, carry out early warning, and overhaul, if all do not exceed 2 times of normal amplitude in the amplitude of full frequency band, then think that elevator is in normal operation.
With reference to Fig. 2, Fig. 2 is the contrast spectrogram of elevator in a certain operation phase, in figure, solid line 5 is the spectrogram of this operation phase of monitoring and control centre 1 internal memory, dotted line 6 is the data that gather in real-world operation this operation phase of elevator and spectrogram after carrying out Fourier transform, as shown in the figure, be A2 in the amplitude of f1 frequency range dotted line 6, the amplitude of solid line 5 is A1, A2 > 2 × A1, then think that elevator occurs or will break down, monitoring and control centre 1 carries out early warning, and notifies that maintainer overhauls elevator.
In actual applications, the limiting safe amplitude of the spectrogram of elevator real-world operation can need 1.5 ~ 3 times that are set to normal amplitude according to client.
By elevator faults early warning forewarn system of the present invention and method for early warning thereof, can monitor in real time the operation conditions of elevator, and effectively can predict the failure condition of elevator, further increase the safety that elevator runs, ensure that the normal operation of elevator.
In the elevator faults early warning forewarn system and method for early warning thereof of the invention described above, by 3-axis acceleration sensor, sensor noise 4 to vibration and the collection of noise data, and fast Fourier transform is carried out to institute's image data, all belong to prior art and data processing method, do not repeat them here.
Above better embodiment of the present invention is illustrated, but it is not restricted to the utilization described in specification sheets and embodiment, it can be applied to various applicable the field of the invention completely, for those skilled in the art, can easily realize other amendment, therefore do not deviating under the universal that claim and equivalency range limit, the present invention does not limit with specific details and illustrates here and the legend described.
Claims (1)
1. elevator faults method for early warning, is characterized in that including following steps:
When step one, elevator operation, by being arranged at towing machine sensor (2) on towing machine, being arranged at the car sensor (3) on car and being arranged on the noise data outside the vibration data of collection elevator towing machine, car under the different motion stage of car external noise sensor (4) and car, and transfer to monitoring and control centre (1);
Step 2, monitoring and control centre (1) carry out fast Fourier transform to the noise data outside the vibration data of towing machine, car and car, draw towing machine, the cabin elevator rumble spectrum figure under the different motion stage, and the outer noise pattern of elevator under the different motion stage of car;
Step 3, monitoring and control centre (1) is the rumble spectrum figure gathered, the rumble spectrum figure of the elevator normal operation of noise pattern and monitoring and control centre (1) internal memory, noise pattern contrasts, if the towing machine rumble spectrum figure gathered, car vibrations spectrogram, any one or multiple spectrograms 2 times of normal amplitude under the amplitude of certain frequency range or multiple frequency range is more than or equal to this frequency range in car external noise spectrogram, then assert that elevator occurs or will break down, carry out early warning, and overhaul, if all do not exceed 2 times of normal amplitude in the amplitude of full frequency band, then think that elevator is in normal operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210194098.XA CN102718100B (en) | 2012-06-13 | 2012-06-13 | Early warning system for elevator fault and early warning method for elevator fault |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210194098.XA CN102718100B (en) | 2012-06-13 | 2012-06-13 | Early warning system for elevator fault and early warning method for elevator fault |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102718100A CN102718100A (en) | 2012-10-10 |
| CN102718100B true CN102718100B (en) | 2015-06-17 |
Family
ID=46944013
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210194098.XA Active CN102718100B (en) | 2012-06-13 | 2012-06-13 | Early warning system for elevator fault and early warning method for elevator fault |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102718100B (en) |
Families Citing this family (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103231962A (en) * | 2013-05-15 | 2013-08-07 | 北京晶科华盛科技有限公司 | Diagnosis and early-warning system for elevator faults |
| US20150284214A1 (en) * | 2014-04-07 | 2015-10-08 | Thyssenkrupp Elevator Ag | Elevator health check |
| CN104044969B (en) * | 2014-06-20 | 2017-02-15 | 广州日滨科技发展有限公司 | elevator fault early warning method and system |
| CN105692383B (en) * | 2016-04-11 | 2017-10-13 | 北京感瞰科技有限公司 | Elevator failure diagnosis device, method and controller |
| CN105819295B (en) * | 2016-04-11 | 2017-10-03 | 北京感瞰科技有限公司 | Elevator failure diagnosis device, method and controller |
| CN105947819B (en) * | 2016-05-23 | 2017-10-03 | 北京感瞰科技有限公司 | Elevator failure diagnosis device, method and controller |
| CN106144819B (en) * | 2016-07-19 | 2018-09-07 | 日立楼宇技术（广州）有限公司 | The pre- diagnostic method and device of elevator |
| CN106044434B (en) * | 2016-07-28 | 2019-02-01 | 苏州江南嘉捷电梯有限公司 | A kind of protective device of elevator host |
| CN109264521B (en) * | 2017-07-18 | 2020-10-20 | 上海三菱电梯有限公司 | Elevator fault diagnosis device |
| IL254691B (en) | 2017-09-25 | 2022-09-01 | Harel Sagie | System and method for maintenance of shabbat elevators |
| CN108002166A (en) * | 2017-11-30 | 2018-05-08 | 上海新时达电气股份有限公司 | A kind of vibration of elevator abnormality prediction system and method |
| CN108630226A (en) * | 2018-05-08 | 2018-10-09 | 上海极歌企业管理咨询中心（有限合伙） | The artificial intelligence detection method and device of unmanned garage parking O＆M safety |
| EP3599203B1 (en) | 2018-07-27 | 2022-06-15 | Otis Elevator Company | Elevator safety system |
| CN109132758A (en) * | 2018-08-17 | 2019-01-04 | 寿县理康信息技术服务有限公司 | A kind of elevator operation monitoring system |
| CN109179120A (en) * | 2018-09-28 | 2019-01-11 | 广东马上到网络科技有限公司 | A kind of elevator or Escalator method for detecting abnormality and system |
| CN109110607A (en) * | 2018-10-17 | 2019-01-01 | 东北大学 | It is a kind of based on the elevator faults method for early warning remotely monitored |
| CN110626914B (en) * | 2019-08-18 | 2020-11-17 | 浙江梅轮电梯股份有限公司 | Independent safety monitoring device of elevator |
| 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 |
| CN110986264B (en) * | 2019-11-21 | 2020-11-24 | 珠海格力电器股份有限公司 | Air conditioner low-frequency resonance noise identification control method and air conditioner |
| CN111268529B (en) * | 2020-02-23 | 2021-01-19 | 洲拓信息科技(江苏)有限公司 | Equipment data exception management system and method based on remote monitoring |
| CN111703992A (en) * | 2020-06-05 | 2020-09-25 | 猫岐智能科技（上海）有限公司 | Set frequency band vibration detection method and system, elevator detection method and elevator fault identification method |
| CN112378633B (en) * | 2020-11-02 | 2023-03-21 | 上海三菱电梯有限公司 | Mechanical fault diagnosis method |
| CN112660957B (en) * | 2020-12-10 | 2022-03-25 | 辽宁长江智能科技股份有限公司 | Early warning method and early warning system for elevator operation risk |
| CN113264429A (en) * | 2021-03-15 | 2021-08-17 | 上海电气集团股份有限公司 | Vibration data processing, model training and detecting method and system for lifting equipment |
| CN113643519A (en) * | 2021-08-06 | 2021-11-12 | 江苏普瑞尔特控制工程有限公司 | Elevator intelligent operation Internet of things early warning system |
| CN114261862B (en) * | 2021-11-08 | 2024-03-19 | 闽江学院 | Elevator running condition monitoring method and system |
| CN113998551B (en) * | 2021-11-16 | 2023-04-11 | 江苏电子信息职业学院 | Elevator operation fault real-time detection system and detection method thereof |
| CN113998553A (en) * | 2021-11-16 | 2022-02-01 | 江苏电子信息职业学院 | Elevator operation fault detection system and detection method thereof |
| CN114180429A (en) * | 2021-11-30 | 2022-03-15 | 成都鹏业软件股份有限公司 | Elevator abnormity detection method, detection equipment, acquisition equipment and detection system |
| CN114229645A (en) * | 2021-12-27 | 2022-03-25 | 日立电梯（中国）有限公司 | Elevator control system with self-diagnosis and self-adjustment functions and monitoring method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1663900A (en) * | 2004-03-02 | 2005-09-07 | 三菱电机株式会社 | The elevator device |
| CN101088898A (en) * | 2006-06-16 | 2007-12-19 | 株式会社日立制作所 | Elevator device |
| CN101613045A (en) * | 2008-06-25 | 2009-12-30 | 株式会社日立制作所 | The restoring running method and the device of elevator |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001341956A (en) * | 2000-06-05 | 2001-12-11 | Toshiba Corp | Remote maintenance method and remote maintenance system for elevator |
| JP4924191B2 (en) * | 2007-05-09 | 2012-04-25 | 株式会社日立製作所 | Elevator |
-
2012
- 2012-06-13 CN CN201210194098.XA patent/CN102718100B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1663900A (en) * | 2004-03-02 | 2005-09-07 | 三菱电机株式会社 | The elevator device |
| CN101088898A (en) * | 2006-06-16 | 2007-12-19 | 株式会社日立制作所 | Elevator device |
| CN101613045A (en) * | 2008-06-25 | 2009-12-30 | 株式会社日立制作所 | The restoring running method and the device of elevator |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102718100A (en) | 2012-10-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102718100B (en) | Early warning system for elevator fault and early warning method for elevator fault | |
| CN105136435B (en) | A kind of method and apparatus of wind generator set blade fault diagnosis | |
| Sheng et al. | Recent progress on mechanical condition monitoring and fault diagnosis | |
| CN203432784U (en) | State monitoring device used for rotary mechanical components | |
| CN102494894A (en) | Audio monitoring and fault diagnosis system for wind generating set and audio monitoring and fault diagnosis method for same | |
| CN108885158B (en) | Condition monitoring system and wind power plant including the same | |
| CN112904828B (en) | Diagnostic system of heterogeneous architecture domain controller | |
| CN106194602B (en) | A kind of wireless acoustic emission detection system of Wind turbines | |
| CN109264521B (en) | Elevator fault diagnosis device | |
| CN102341597A (en) | Method for monitoring wind turbines | |
| CN106706241B (en) | Active self-checking device and method for damage of wind turbine blade | |
| CN103412258B (en) | Breaker switch-on-off gate spring ultrasound monitoring device and method | |
| Lin et al. | Measurement and analysis of current signals for gearbox fault recognition of wind turbine | |
| Wang et al. | Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations | |
| CN212323930U (en) | Motor intelligence fortune dimension system | |
| CN101931351A (en) | Network motors and acquisition and diagnostic system for fault remote data thereof | |
| CN203405549U (en) | Breaker switch-on-off spring ultrasonic monitoring device | |
| CN105890855B (en) | A kind of method of hydrogenerator diagnosing interior faults positioning | |
| CN105386600B (en) | A kind of taking force control system, control method and concrete spraying vehicle | |
| CN104237706A (en) | Real-time monitoring method for power takeoff generation device | |
| CN112118550B (en) | Wireless transmission method of equipment state monitoring information | |
| CN111835148A (en) | Motor intelligence fortune dimension system | |
| CN203428825U (en) | Digital safety monitoring system of crane | |
| JP2021071354A (en) | Bearing diagnosis system and bearing diagnosis method | |
| CN206906025U (en) | The detection means of bearing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C56 | Change in the name or address of the patentee | ||
| CP03 | Change of name, title or address |
Address after: 528400 Guangdong city in Zhongshan Province, Eastern Croucher Road No. 19 Patentee after: Guangdong Chameni technology Limited by Share Ltd Address before: 528400 Guangdong city of Zhongshan Province East Cha Bridge Industrial Village Patentee before: G-Technologies Co., Ltd. |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20190621 Address after: 450000 No. 9, Zhongyuan West Road, Qiaolou Town, Xingyang City, Zhengzhou City, Henan Province Patentee after: Luke Elevator Co., Ltd. Address before: 528400 No. 19 Chaoqiao Road, East District, Zhongshan City, Guangdong Province Patentee before: Guangdong Chameni technology Limited by Share Ltd |