CN102992129A - Abnormity diagnosis device and method for elevator - Google Patents
Abnormity diagnosis device and method for elevator Download PDFInfo
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- CN102992129A CN102992129A CN2012102698714A CN201210269871A CN102992129A CN 102992129 A CN102992129 A CN 102992129A CN 2012102698714 A CN2012102698714 A CN 2012102698714A CN 201210269871 A CN201210269871 A CN 201210269871A CN 102992129 A CN102992129 A CN 102992129A
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Abstract
The invention provides an abnormity diagnosis device and method for an elevator. Under the condition of diagnosing elevator abnormity via a sound, since various sounds are produced in the periphery of the elevator, environment sounds, which are not caused by the elevator, such as vehicle or person sounds are mistakenly detected to be abnormal sounds of the elevator. In the abnormity diagnosis device for the elevator, in a lift car or outside a lift car of the elevator, more than two sound collecting units are configured at intervals (of a base line), a principle of dimensional sounds is used to calculate a sound source position, after a pre-processing that the sound source position of abnormity is determined to be in the periphery of the elevator apparatus, abnormity diagnosis is performed via comparison with a previous normal sound determined in the elevator apparatus periphery at the sound source position, and an alarm is made under the condition of abnormity via diagnosis. Therefore, via the pre-processing, the condition that environment sounds not caused by the elevator are mistakenly detected to be abnormal sounds of the elevator is prevented.
Description
Technical field
The present invention relates to apparatus for diagnosis of abnormality and the method for finding that elevator device is unusual.
Background technology
Elevator is widely used in building, individual family etc.On the other hand, usually the supvr of management elevator is that monitoring and control centre etc. is to separate with the place that arranges of elevator.Although to check termly whether produce unusually to elevator, because the frequent catspaw's utilization of elevator, so also should monitor usually in service.Even if thereby before periodic inspection, if there is certain unusual, also expectation is circulated a notice of in early days to monitoring and control centre.
Therefore, at elevator discovery abnormal elevator in service, and the apparatus for diagnosis of abnormality of multiple elevator has been proposed.Wherein, also proposed to detect in order to find the unusual of elevator the device of sound.Produced at elevator in the situation of unusual sound, great majority are to produce unusual or its omen, so can tackle in early days the fault etc. of elevator by the detection of unusual sound.
Patent documentation 1: TOHKEMY 2010-132441
Patent documentation 2: TOHKEMY 2009-274805
Patent documentation 3: TOHKEMY 2009-162413
Patent documentation 4: TOHKEMY 2001-278562
Finding in the situation of abnormal elevator by detecting sound, owing to produce diversified sound at the periphery of elevator, so be not can error detection in the situation of unusual sound of elevator at collected sound.In addition and since elevator the place is set, also can the flase drop measuring car, people's ambient sounds such as voice.
In the prior art of patent documentation 1, collect the guide rail of elevator and be guided slip sound between the parts, and with the size of the sound that predetermines and highly compare to detect unusual, but because detected object is defined as guide rail and collection line part is one, so can't determine the position of source of sound.
In the prior art of patent documentation 2, utilization is arranged at the winch of elevator and the collection sound microphone of each floor is collected unusual sound, and utilizes the characteristic of sound to carry out abnormality detection, but but need to be at each storey setting collection sound microphone, so cost increases.In addition, owing at car itself collection sound microphone is not set, be difficult to detect the unusual sound that is in the car in moving.
In the prior art of patent documentation 3, measure by the collected shot of the microphone that is equipped on vehicle, and utilize principle of triangulation to determine sound source position, still under having the situation of a plurality of this purposes, source of sound but can't determine sound source position.In addition, in order to determine sound source position, also need in addition distance measuring sensor or cartographic information.
In the prior art of patent documentation 4, utilize the inside and outside collection sound microphone that is arranged at lift car to collect unusual sound, and compare to detect unusually with a reference value that predetermines, but owing to microphone is arranged at inside and outside the car, so can't determine sound source position.In addition, be difficult to distinguish the ambient sound of taking the place and the sound of elevator itself.
Summary of the invention
Therefore, the object of the invention is to, the noise beyond the differentiation elevator and the unusual sound of elevator are diagnosed the unusual of elevator.
In order to solve the problems of the technologies described above, in the preferred embodiment of the present invention, based on the difference by the collected sound of the collection line part more than 2 that is arranged in the car or car is outer (collection sound unit), utilize stereosonic principle etc. to calculate sound source position, and diagnosis has or not unusually at sound source position, exports alarm having in the unusual situation.
In the specific embodiment of the present invention, utilize the microphone of the interphone in the car as one of described collection line part.
The invention effect
According to preferred implementation of the present invention, no matter the static situation of elevator, elevator be in situation in mobile, or door situation about opening under, whether can both differentiate sound source position is the elevator periphery.In addition owing to only differentiate sound source position according to collected sound, so do not need other sensors since collection line part minimum be 2 just enough, so can cost than the lowland setting device.
Other purposes of the present invention and feature become clearer and more definite in the embodiment of following narration.
Description of drawings
Fig. 1 is the block diagram of summary of apparatus for diagnosis of abnormality of the elevator of expression the 1st embodiment of the present invention.
Fig. 2 is the processing flow chart of the apparatus for diagnosis of abnormality of same elevator.
Fig. 3 is the figure of the configuration example of 2 the collection line parts (collection sound unit) in the expression car.
Fig. 4 is the block diagram of an example of expression sound source position calculating unit.
Fig. 5 is the block diagram of an example of the unusual sound deagnostic package of expression.
Fig. 6 is the block diagram of summary of apparatus for diagnosis of abnormality of the elevator of expression the 2nd embodiment of the present invention.
Fig. 7 is the figure of the configuration example of outer 2 the collection line parts (collection sound unit) of expression car.
Fig. 8 is the entire block diagram of summary of apparatus for diagnosis of abnormality of the elevator of expression the 3rd embodiment of the present invention.
The specific embodiment
Below, with reference to accompanying drawing, embodiments of the present invention are described.
At first, the 1st embodiment of the present invention is described.
[embodiment 1]
Fig. 1 is the block diagram of summary of apparatus for diagnosis of abnormality of the elevator of expression the 1st embodiment of the present invention.Have elevator 100 at least one sound S10 of input of abnormity diagnosis function, have the B10 of lift car section and the unusual sound diagnosis B20 of section, output alarm S30.
The B10 of lift car section sound import S10 has collection sound unit 10,20 at least 2 cars, measures sound and it is transformed into sound data (audible signal) S20 and export afterwards.Sound is such as the ambient sound of operation sound, the sound of car, people's voice etc. of apparatus that is operation sound, the elevator of elevator.
The unusual sound diagnosis B20 of section input sound data S20 has sound source position calculating unit 30, unusual sound deagnostic package 40 and alarm production part 50, output alarm S30.
The position that sound source position calculating unit 30 calculates source of sound according to the feature of the sound of the sound data S20 that inputs.The feature of sound refers to, the size of sound (intensity), tone color, frequency etc.As the parts that calculate sound source position, for example consider stereosonic principle.Whether be elevator periphery, be in the situation of elevator periphery at source of sound if differentiating source of sound, to unusual sound deagnostic package 40 output sound data S20.Not in the situation of elevator periphery at source of sound, in this end process, calculate the sound source position of next sound data S20.
Unusual sound deagnostic package 40 input sound data S20 carry out abnormality juding, be the triggering of exporting alarm in the unusual situation.As the method for carrying out abnormality juding, consider: the method for the threshold value that relatively predetermines and sound data S20; The sound data S20 in storage past and the method that compares with the sound data S20 that inputs.For example, unusual sound deagnostic package 40 based on and calculate contrast between the sound data (for example normal sound) that the sound equipment of obtaining produces the corresponding past of position by the sound source position calculating unit 30 of prime, carry out the abnormality juding of relevant position (parts apparatus).
The triggering of alarm production part 50 input alarms determines whether the output alarm, is being judged to be output alarm S30 in the situation that need to give the alarm.Consider following method at this: in case the triggering of input alarm then export at once the method for alarm S30; Triggering to the alarm inputted is counted, and only is judged to be more than the frequency that is predetermining under the time inside counting quantity that predetermines reaches situation more than the threshold value that predetermines and then the method for output alarm S30.
Fig. 2 is the processing flow chart of apparatus for diagnosis of abnormality of the elevator of the 1st embodiment of the present invention.
At first, establish elevator and usually move, and when the common operation of elevator, produced noise. Collection sound unit 10,20 collects sound to noise in 2 cars in the rapid F1 of collection foot, F2, obtains among step F 3, the F4 at sound data and makes sound data.In step F 5, calculate the power (size) of the audible signal of 2 sound datas and the time difference of signal, and calculate sound source position based on the power (size) of the audible signal of 2 sound datas and the time difference of signal.In step F 6, judge that based on the sound source position that calculates whether source of sound is the elevator periphery, travels to step F 17 and the termination diagnosis in no situation.Determining in the situation that source of sound is the elevator periphery, at first in the selection step F 7 of sound data, deciding the sound data of advantage according to the power of audible signal.The threshold value that employing predetermines, and under the difference of 2 sound datas is situation more than the threshold value, clearly determine having superiority property.
Then, in step F 8, F9,2 sound datas are carried out respectively frequency analysis process for example FFT (Fast Fourier Transform) processing, and be transformed into the data of frequency.In step F 10, F11, adopt the statistical gimmick that the data of each frequency are come the calculated characteristics amount.At this, the statistical gimmick refers to the methods such as principal component analysis (PCA), cluster.In step F 12, F13, the characteristic quantity of calculating and separately learning data 201,202 are compared, calculate difference.As learning data 201,202, for example can adopt normal sound.In step F 14, F15, be judged as if difference is more than the threshold value unusual, if difference is less than threshold value then be judged as normal.Be judged as in the unusual situation in one of them of 2 sound datas, in step F 16, give the alarm.In addition, finish diagnosis by step F 17.
Yet, in the significant situation of dominance between 2 sound datas, preferably carry out abnormality juding according to the diagnostic result to the high sound data diagnosis of dominance.That is to say, also can judge in the unusual situation of the high sound data of dominance, judge unusually, in step F 16, give the alarm.
On the other hand, also can judge in the normal situation of the high sound data of dominance, judge normally, directly finish diagnosis by step F 17.
Fig. 3 is the figure of the configuration example of 2 collection sound unit in the expression car.Configuration example (A) is arranged at the example of upper end about the shop front.Configuration example (B) be arranged at door the opposite about the example of upper end.Configuration example (C) is the example that is arranged at the symmetric angle in the car.Configuration example (D) is to be arranged at the upper end in the car, the example of lower end.Configuration example (E) is to have utilized the example of the microphone of the angle of the car top that has rig camera etc. and interphone.
About disposing example (A), owing to most of car tops of concentrating and the shop front near the parts that consist of elevator, so can collect more multipart sound.Particularly, because the parts of door rotation concentrate on car top, so can collect the sound of door motor or driven voller, door track etc.
About disposing example (B), owing to be the position that rig camera etc. is set, so append easily collection line part.In addition and since be in door over against the position, so can collect the unusual of door, the sound when for example rocking sound or clipping people/thing.
About disposing example (C), owing in car, being disposed on the diagonal line, so the interval of 2 microphones (base length) maximum.Thereby, think and can collect at large the sound that in lift car, causes.
About disposing example (D), owing to be disposed at about the car, so the parts of collecting easily the parts of car top and the car ground sound of threshold groove (Sill ditch), door shield (door stop) especially.
About disposing example (E), owing to use the original interphone that arranges, so being 1, the microphone that resets gets final product.In addition, with configuration example (C) similarly, can collect at large the sound that in lift car, causes.
Fig. 4 is the block diagram of an example of expression sound source position calculating unit 30.Input sound data S20 has sound source position calculating part B30 and sound source position detection unit B40, is only determining output sound data S20 in the situation of sound that sound data S20 is the elevator periphery.
Sound source position calculating part B30 input sound data S20 calculates the sound source position of sound data S20, output sound source position S40 according to the feature of sound data S20.As method of calculating, utilize stereosonic principle, calculate sound source position S40 based on the difference of the sound data S20 that exports from 2 collection sound unit and the distances (base length) of 2 collection sound unit.
Sound source position detection unit B40 input sound source position S40 judges that whether sound source position S40 is the sound of elevator periphery, is to export sound data S20 in the situation of sound of elevator periphery being judged to be only.As decision method, have pre-defined threshold value for the sound around the elevator, if sound source position S40 is below the threshold value, then determine the sound that sound data S20 is the elevator periphery.
Fig. 5 is the block diagram of an example of the unusual sound deagnostic package 40 of expression.Input sound data S20 has normal sound data storehouse in the past (below be labeled as DB) 410 and unusual sound detection unit B50, only at the triggering S50 that is detecting output alarm in the situation of abnormal elevator.
The normal sound DB410 in past the is pre-stored normal sound S60 of elevator.
Unusual sound detection unit B50 input sound data S20 and normal sound S60 in the past judge that with normal sound S60 in the past elevator has or not unusually by comparing sound data S20, only at the binary pair S50 that output alarm in the unusual situation is arranged.As decision method, consider: the method for calculating the similar degree of sound data S20 and normal sound S60 in the past; Study normal sound S60 in the past diagnoses the method for sound data S20.
In addition, in also can normal sound DB410 in the past storage with by sound source position calculating unit 30 confirmable each sound source position normal sound S60 in corresponding past, in unusual sound deagnostic package 40, from sound source position calculating unit 30, input sound source position S40 but not sound data S20, utilize the normal sound S60 in the past corresponding with this sound source position to carry out unusual sound judgement.
Secondly, the 2nd embodiment of the present invention is described.
[embodiment 2]
Fig. 6 is the block diagram of apparatus for diagnosis of abnormality of the elevator of expression the 2nd embodiment of the present invention.Have elevator 200 at least one sound S10 of input of abnormity diagnosis function, have the B10 of lift car section and the unusual sound diagnosis B20 of section, output alarm S30.The B10 of lift car section sound import S10 has at least 2 cars and collects sound unit 110,120 outward, output sound data S20.Unusual the sound diagnosis B20 of section, alarm S30 are identical with the 1st embodiment.
Fig. 7 is the figure of the configuration example of 2 outer collection sound unit of expression car.Configuration example (A) is the example that is arranged at the upper and lower side of the shop front.Configuration example (B) be arranged at car top shop front side and with the example of the right side of the shop front.Configuration example (C) is the example that is disposed at car top and ground.
About disposing example (A), because near concentrated car top and the shop front of parts great majority that consists of elevator, so can collect more multipart sound.Particularly, because the parts of door rotation concentrate on car top, so can collect the sound of door motor or driven voller, door track etc.In addition, think the sound of collecting easily threshold groove, door shield in the bottom of door.
About disposing example (B), because car top and the shop fronts concentrated near the parts great majority that consist of elevator, so can collect more multipart sound and can determine to send the apparatus of unusual sound.Especially, can collect the sound of door motor or driven voller, door track etc.
About disposing example (C), owing to be arranged at car tops that the parts great majority that consist of elevator concentrate and the ground of clamping car, want object sound and the ambient sound diagnosed so be separated in easily the time point of collection sound.In addition, with configuration example (A) similarly, particularly car top has been concentrated the parts of door rotation, so can collect sound to the sound of door motor or driven voller, door track etc.In addition, think the sound of collecting easily threshold groove, door shield in the bottom of car.
Secondly, the 3rd embodiment of the present invention is described.
[embodiment 3]
Fig. 8 is the entire block diagram of summary of apparatus for diagnosis of abnormality of the elevator of expression the 3rd embodiment of the present invention.Elevator 300 sound imports with abnormity diagnosis function have lift car E10, elevator door E20, door motor E30, at least 2 interior sound unit 10A, 10B, unusual sound diagnosis B20 of section of collecting of cars, export alarm S30 to monitoring device E40.
In this embodiment, especially with the unusual sound of the door rotation of elevator as detected object.Lift car E10 is equivalent to the B10 of lift car section of the 1st embodiment, and input has collection sound unit 10A, 10B in 2 cars, output sound data S20 at the sound of elevator door E20 or door motor E30 generation.
Unusual the sound diagnosis B20 of section, alarm S30 are identical with the 1st embodiment.
In addition, in the unusual sound diagnosis B20 of section, threshold value with collection sound unit 10A, 10B in the car that predetermines, the sound data S20 that collects sound unit 10A in car is lower than the sound data S20 that collects sound unit 10B in threshold value and the car and is higher than in the situation of threshold value, determine ambient sound greater than the sound of elevator periphery, also can determine as not carrying out unusual sound diagnosis.
Utilizability on the industry
According to the elevator with abnormity diagnosis function of the present invention, can judge that whether collected sound be the sound of elevator periphery, and can utilize sound to detect the unusual of elevator.
Nomenclature
10,20 ... collection line part in the car (collection sound unit), 30 ... the sound source position calculating unit, 40 ... unusual sound deagnostic package, 50 ... the alarm production part, 100,200,300 ... elevator with unusual sound diagnosis function, 110,120 ... car collects line part (collection sound unit) outward, 410 ... the normal sound DB in past, B10 ... lift car section, B20 ... unusual sound diagnosis section, B30 ... the sound source position calculating part, B40 ... the sound source position detection unit, B50 ... unusual sound detection unit, E10, E20 ... lift car, E30 ... door motor, E40 ... monitoring device, F1, F2 ... the collection foot is rapid, F3, F4 ... sound data is obtained step, F5 ... the sound source position calculation procedure, F6 ... judge whether source of sound is near the determination step the elevator, F7 ... advantage sound data determination step, F8, F9 ... the FFT treatment step, F10, F11 ... the statistical characteristic quantity calculate step, F12, F13 ... and the Difference Calculation step between the learning data, F14, F15 ... the abnormality juding step, F16 ... the step that gives the alarm, F17 ... the diagnosis ending step, 201,202 ... learning data, S10 ... sound, S20 ... sound data, S30 ... alarm, S40 ... sound source position, S50 ... trigger S60 ... the normal sound in the past of storing.
Claims (10)
1. the apparatus for diagnosis of abnormality of an elevator possesses:
Be arranged in the elevator cage or the outer collection line part more than 2 of car;
Abnormity diagnosis section, its based in described lift car or the audible signal of collecting outside the car diagnose the unusual of elevator; With
Alarm device, it is based on the output of described abnormity diagnosis section, the output alarm signal,
The apparatus for diagnosis of abnormality of described elevator is characterised in that:
Described collection line part is constituted by the collection sound unit more than 2 of devices spaced apart ground configuration in lift car or outside the car,
Described abnormity diagnosis section possesses:
The sound source position calculating unit, the position that it calculates source of sound based on the difference of the audible signal of being collected respectively by described collection sound unit more than 2; With
The abnormity diagnosis parts, it diagnoses the sound source position place of this audible signal of obtaining by described calculating to have or not unusually based on collected described audible signal.
2. the apparatus for diagnosis of abnormality of elevator according to claim 1 is characterized in that,
The position that the power of the audible signal that described sound source position calculating unit is collected respectively based on the collection sound unit more than 2 and time difference are calculated source of sound.
3. the apparatus for diagnosis of abnormality of elevator according to claim 1 is characterized in that,
The audible signal more than 2 that the described collection sound unit more than 2 that described sound source position calculating unit arranges according to devices spaced apart ground is collected is respectively calculated described sound source position based on stereosonic principle.
4. the apparatus for diagnosis of abnormality of elevator according to claim 1 is characterized in that,
Possess: unusual equipment determining means, determine unusual equipment based on the sound source position that described sound source position calculating unit calculates.
5. the apparatus for diagnosis of abnormality of elevator according to claim 1 is characterized in that,
Possess: abnormity diagnosis is wanted no judging part, and the sound source position that calculates based on described sound source position calculating unit determines whether and need to carry out abnormity diagnosis by described abnormity diagnosis parts.
6. the apparatus for diagnosis of abnormality of elevator according to claim 1 is characterized in that,
The microphone that utilizes the interphone in the car is as one of described collection sound unit more than 2.
7. the apparatus for diagnosis of abnormality of elevator according to claim 1 is characterized in that,
The audible signal that described abnormity diagnosis parts will be collected by described collection sound unit and pre-stored normal sound compare, and diagnosis is unusual thus.
8. the apparatus for diagnosis of abnormality of elevator according to claim 7 is characterized in that,
Respectively with confirmable a plurality of sound source position is stored described pre-stored normal sound accordingly by the combination of described collection sound unit more than 2.
9. the apparatus for diagnosis of abnormality of elevator according to claim 1 is characterized in that,
Obtained at the appointed time exporting described alarm signal in the abnormity diagnosis more than the stipulated number by described abnormity diagnosis parts.
10. the abnormality diagnostic method of an elevator, based in lift car or the audible signal of collecting outside the car diagnose the unusual of elevator, and output alarm signal, wherein, the collection sound unit more than 2 that is combined in the lift car or disposes to devices spaced apart outside the car
The abnormality diagnostic method of described elevator comprises:
The sound source position calculation procedure according to the audible signal of being collected respectively by described collection sound unit more than 2, is calculated sound source position based on stereosonic principle;
The abnormity diagnosis step diagnoses the sound source position place of this audible signal of obtaining by described calculating to have or not unusually based on collected described audible signal; With
The alarm step, diagnose out described sound source position place have unusual in, export described alarm signal.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2011-201400 | 2011-09-15 | ||
| JP2011201400A JP5513456B2 (en) | 2011-09-15 | 2011-09-15 | Elevator abnormality diagnosis apparatus and method |
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| Publication Number | Publication Date |
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| CN102992129A true CN102992129A (en) | 2013-03-27 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012102698714A Pending CN102992129A (en) | 2011-09-15 | 2012-07-31 | Abnormity diagnosis device and method for elevator |
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| Country | Link |
|---|---|
| JP (1) | JP5513456B2 (en) |
| CN (1) | CN102992129A (en) |
| SG (1) | SG188710A1 (en) |
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| CN105283400A (en) * | 2013-06-10 | 2016-01-27 | 奥的斯电梯公司 | Elevator noise monitoring |
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| CN105156870A (en) * | 2015-08-15 | 2015-12-16 | 胡达广 | Intelligent area protection system |
| CN106608568A (en) * | 2015-10-26 | 2017-05-03 | 天津鑫宝龙电梯集团有限公司 | Elevator control system capable of judging truth of elevator calling request |
| CN109641717A (en) * | 2016-08-11 | 2019-04-16 | 因温特奥股份公司 | Sensing data is weighted with environmental data in the system of transport passenger |
| CN107522053A (en) * | 2017-07-11 | 2017-12-29 | 浙江新再灵科技股份有限公司 | A kind of elevator platform detecting system and method based on audio analysis |
| CN107522053B (en) * | 2017-07-11 | 2020-10-30 | 浙江新再灵科技股份有限公司 | Elevator platform detection system and method based on audio analysis |
| US11649137B2 (en) | 2017-09-07 | 2023-05-16 | Otis Elevator Company | Elevator sound systems |
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| CN111480196B (en) * | 2017-12-22 | 2023-08-25 | 三菱电机株式会社 | Sound measurement system and parameter generation device |
| CN110191384A (en) * | 2018-02-23 | 2019-08-30 | 松下知识产权经营株式会社 | Diagnostic method, diagnostic device and computer-readable recording medium |
| CN111170101A (en) * | 2018-11-13 | 2020-05-19 | 奥的斯电梯公司 | Monitoring system |
| US11795032B2 (en) | 2018-11-13 | 2023-10-24 | Otis Elevator Company | Monitoring system |
| CN111170101B (en) * | 2018-11-13 | 2021-07-02 | 奥的斯电梯公司 | Monitoring system |
| CN110296842A (en) * | 2019-06-28 | 2019-10-01 | 潍柴动力股份有限公司 | The diagnostic method and device of engine |
| CN114829281A (en) * | 2020-02-05 | 2022-07-29 | 三菱电机大楼技术服务株式会社 | Point inspection auxiliary system of elevator |
| CN114829281B (en) * | 2020-02-05 | 2022-12-06 | 三菱电机楼宇解决方案株式会社 | Point inspection auxiliary system of elevator |
| CN113213290B (en) * | 2020-02-06 | 2023-08-04 | 奥的斯电梯公司 | Measuring and diagnosing elevator door performance using sound and video |
| CN113213290A (en) * | 2020-02-06 | 2021-08-06 | 奥的斯电梯公司 | Measuring and diagnosing elevator door performance using sound and video |
| 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 |
| CN111268529A (en) * | 2020-02-23 | 2020-06-12 | 黄俊龙 | Equipment data exception management system and method based on remote monitoring |
| CN113336036A (en) * | 2021-06-22 | 2021-09-03 | 云知声智能科技股份有限公司 | Elevator abnormity monitoring method, device, equipment, elevator and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2013060295A (en) | 2013-04-04 |
| JP5513456B2 (en) | 2014-06-04 |
| SG188710A1 (en) | 2013-04-30 |
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