CN110436289A - A kind of Elevator Fault Diagnosis and early warning system based on data-driven - Google Patents
A kind of Elevator Fault Diagnosis and early warning system based on data-driven Download PDFInfo
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- CN110436289A CN110436289A CN201910432328.3A CN201910432328A CN110436289A CN 110436289 A CN110436289 A CN 110436289A CN 201910432328 A CN201910432328 A CN 201910432328A CN 110436289 A CN110436289 A CN 110436289A
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Classifications
-
- 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
- B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
-
- 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
-
- 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
- B66B5/0037—Performance analysers
-
- 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
Abstract
The invention discloses a kind of Elevator Fault Diagnosis and early warning system based on data-driven, including central processing system and database safety operation module, central processing system and the realization of database safety operation module are bi-directionally connected, central processing system is bi-directionally connected with fault reasoning processing system and the realization of fault model storage unit respectively, the output end of central processing system and the input terminal of alarm system are electrically connected, the fault data administrative unit is bi-directionally connected with Mishap Database realization, and the present invention relates to elevator technology fields.The Elevator Fault Diagnosis and early warning system based on data-driven, it include that characteristic signal monitors module, characteristic signal analysis module, characteristic signal contrast module, alarm starting module, eigenvalue threshold artificial contrast module and manual alarm module by fault reasoning processing system, data persistence speed improves, and data can back up, when uploading data generation mistake or corrupted data, follow-up work is not influenced.
Description
Technical field
The present invention relates to elevator technology field, specially a kind of Elevator Fault Diagnosis based on data-driven and early warning system
System.
Background technique
Elevator, which refers to, serves several specific floors in building, and carriage operates at least two column perpendicular to horizontal plane
Or the permanent transporting equipment of the rigid track movement with plumb line inclination angle less than 15 °.
With China's rapid economic development, the usage amount per capita of elevator is higher and higher, and conventional lift generally makes for a long time
Can all break down in, typically break down later just start carry out repair and maintenance, this way be unfavorable for more added with
The personal safety of the protection elevator user of effect, the patent of invention of Publication No. CN102765643B are disclosed based on data-driven
Elevator Fault Diagnosis and method for early warning, foregoing invention diagnoses automatically in use and transmits elevator faults relevant knowledge, but
It is that it does not have corresponding mechanism for correcting errors, is unfavorable for correction change of the artificial later period for its mistake, passes through data mining technology
The large-scale fault message of multivariable involved in elevator faults can be diagnosed in time, lack labor management upload function, and lack
The emergent alarm measure of few key variables, can obtain real-time stream and failure classes by classifier to elevator data monitor set
The similarity degree of type, thus realize the early detection and early warning of elevator faults, but its data persistence speed is excessively slow, and number
According to no backup, once uploading data generates mistake or corrupted data, follow-up work will seriously affect, which has self study
Ability constantly learns new fault data and forms new diagnostic knowledge, and with being continuously increased for fault data, the failure of system is examined
Cutting capacity can constantly enhance, but it does not have internet discriminant function, and lack labor management platform, once front and back diagnosis is known
Know and logical contradiction occurs, it will influences machine and quickly judge, be easy to cause crash, the preventative maintenance of elevator faults prediction is reduced
Blindness makes elevator, to effectively maintenance, not only reduce maintenance frequency and cost, maintenance is protected in best breakdown maintenance time
Feeding efficiency also greatly improves.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides a kind of Elevator Fault Diagnosis based on data-driven and early warning system
System, solves no corresponding mechanism for correcting errors, lacks labor management upload function, and data are distinguished without backup without internet
Function, and the problem of lack labor management platform.
(2) technical solution
In order to achieve the above object, the present invention is achieved by the following technical programs: a kind of elevator based on data-driven
Fault diagnosis and early warning system, including central processing system and database safety operation module, the central processing system sum number
According to library safety operation module realization be bi-directionally connected, the central processing system respectively with fault reasoning processing system and fault model
Storage unit realization is bi-directionally connected, and the output end of the central processing system and the input terminal of alarm system are electrically connected, described
The input terminal of central processing system and the output end of power-supply system are electrically connected, the database security operation module respectively with people
Number evidence and model manipulation unit and the realization of fault data administrative unit are bi-directionally connected, the fault data administrative unit and failure
Database realizing is bi-directionally connected.
Preferably, the fault reasoning processing system includes that characteristic signal monitors module, characteristic signal analysis module, feature
Signal contrast module, alarm starting module, eigenvalue threshold artificial contrast module and manual alarm module, the characteristic signal prison
The input terminal of the output end and characteristic signal analysis module of listening module is electrically connected, the output end of the characteristic signal analysis module
It is electrically connected with the input terminal of characteristic signal contrast module, the output end and alarm starting module of the characteristic signal contrast module
Input terminal be electrically connected, the characteristic signal contrast module and Mishap Database realization are bi-directionally connected, alarm starting mould
The output end of block and the input terminal of eigenvalue threshold artificial contrast module are electrically connected, the eigenvalue threshold artificial contrast module
Output end and manual alarm module input terminal be electrically connected.
Preferably, the fault model storage unit includes failure information read module, failure mathematics modeling module, failure
Model preserving module, internet fault model read module and fault model network uploading module, the failure information read mould
The output end of block and the input terminal of failure mathematics modeling module are electrically connected, the output end of the failure mathematics modeling module and event
The input terminal for hindering model preserving module is electrically connected, and the output end of internet fault model read module and fault model are protected
The input terminal of storing module is electrically connected, and the output end of the fault model preserving module is defeated with fault model network uploading module
Enter end to be electrically connected.
Preferably, the alarm system includes alert analysis module, failure information analysis feedback module and siren module, institute
The input terminal of the output end and siren module of stating alert analysis module is electrically connected, the alert analysis module and failure information point
Analysis feedback module realization is bi-directionally connected.
Preferably, the power-supply system includes that electrical power stabilization module and switch regulate and control module, the electrical power stabilization module
Output end and the input terminal of switch regulation module are electrically connected.
Preferably, the artificial data and model manipulation unit include artificial data read module, artificial data comparison mould
Block, artificial data and model processing modules, data processing log saving module and data processing log uploading module, it is described artificial
The output end of data read module and the input terminal of artificial data contrast module are electrically connected, the artificial data contrast module
The input terminal of output end and artificial data and model processing modules is electrically connected, the artificial data and model processing modules it is defeated
The input terminal of outlet and data processing log saving module is electrically connected, the output end of the data processing log saving module with
The input terminal of data processing log uploading module is electrically connected.
Preferably, the fault data administrative unit includes that failure information monitors module, failure information analysis module, failure
The automatic uploading module of information preserving module, failure information, failure information feedback module and the manual uploading module of failure information, it is described
Failure information monitors the output end of module and the input terminal of failure information analysis module is electrically connected, and the failure information analyzes mould
The output end of block and the input terminal of failure information preserving module are electrically connected.
Preferably, the output end of the failure information preserving module and the input terminal of the automatic uploading module of failure information are electrical
Connection, the output end of the automatic uploading module of failure information and the input terminal of the manual uploading module of failure information are electrically connected,
The automatic uploading module of information is bi-directionally connected with the realization of failure information feedback module.
(3) beneficial effect
The present invention provides a kind of Elevator Fault Diagnosis and early warning system based on data-driven.Compared with prior art,
Have it is following the utility model has the advantages that
(1), it is somebody's turn to do Elevator Fault Diagnosis and early warning system based on data-driven, passes through central processing system and database is pacified
Full operation module, central processing system and database safety operation module realization be bi-directionally connected, central processing system respectively with therefore
Barrier reasoning processing system and the realization of fault model storage unit are bi-directionally connected, the output end of central processing system and alarm system
Input terminal is electrically connected, and the input terminal of central processing system and the output end of power-supply system are electrically connected, database security operation
Module is bi-directionally connected with artificial data and model manipulation unit and the realization of fault data administrative unit respectively, at fault reasoning
Reason system includes that characteristic signal monitors module, characteristic signal analysis module, characteristic signal contrast module, alarm starting module, spy
Value indicative threshold value artificial contrast module and manual alarm module, data persistence speed improves, and data can back up, and uploads number
When according to generating mistake or corrupted data, follow-up work is not influenced.
(2), it is somebody's turn to do Elevator Fault Diagnosis and early warning system based on data-driven, passes through artificial data and model manipulation unit
It is saved including artificial data read module, artificial data contrast module, artificial data and model processing modules, data processing log
Module and data processing log uploading module, increase corresponding mechanism for correcting errors, conducive to entangling for its mistake of artificial later period
Positive change, internet discriminant function, and lack labor management platform, once logical contradiction occurs for front and back diagnostic knowledge, it will
It influences machine quickly to judge, is easy to cause crash.
(3), it is somebody's turn to do Elevator Fault Diagnosis and early warning system based on data-driven, includes event by fault data administrative unit
Hinder information and monitors module, failure information analysis module, failure information preserving module, the automatic uploading module of failure information, failure feelings
Feedback module and the manual uploading module of failure information, labor management upload function are reported, and lacks the emergent alarm of key variables
Measure.
Detailed description of the invention
Fig. 1 is system principle diagram of the invention；
Fig. 2 is the functional block diagram of fault reasoning processing system of the present invention；
Fig. 3 is the functional block diagram of fault model memory cell arrangement of the present invention；
Fig. 4 is the functional block diagram of alarm system of the present invention；
Fig. 5 is the functional block diagram of power-supply system of the present invention；
Fig. 6 is the functional block diagram of artificial data of the present invention and model manipulation cellular system；
Fig. 7 is the functional block diagram of fault data administrative unit system of the present invention.
In figure, 1- central processing system, 2- database security operation module, 3- fault reasoning processing system, 31- feature
Signal monitors module, 32- characteristic signal analysis module, 33- characteristic signal contrast module, 34- alarm starting module, 35- feature
It is worth threshold value artificial contrast module, 36- manual alarm module, 4- fault model storage unit, 41- failure information read module, 42-
Failure mathematics modeling module, 43- fault model preserving module, the internet 44- fault model read module, 45- fault model net
Network uploading module, 5- alarm system, 51- alert analysis module, 52- failure information analyze feedback module, 53- siren module, 6-
Power-supply system, 61- electrical power stabilization module, 62- switch regulation module, 7- artificial data and model manipulation unit, 71- are manually counted
It is saved according to read module, 72- artificial data contrast module, 73- artificial data and model processing modules, 74- data processing log
Module, 75- data processing log uploading module, 8- fault data administrative unit, 81- failure information monitor module, 82- failure feelings
Report analysis module, 83- failure information preserving module, the automatic uploading module of 84- failure information, 85- failure information feedback module,
The manual uploading module of 86- failure information, 9- Mishap Database.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Please refer to Fig. 1-7, the embodiment of the present invention provides a kind of technical solution: a kind of elevator faults based on data-driven are examined
Disconnected and early warning system, including central processing system 1 and database safety operation module 2, central processing system 1 and database security
Operation module 2 realization be bi-directionally connected, central processing system 1 respectively with fault reasoning processing system 3 and fault model storage unit 4
Realization is bi-directionally connected, and the output end of central processing system 1 and the input terminal of alarm system 5 are electrically connected, central processing system 1
Input terminal and the output end of power-supply system 6 be electrically connected, database security operation module 2 is grasped with artificial data and model respectively
Make unit 7 and the realization of fault data administrative unit 8 is bi-directionally connected, fault data administrative unit 8 is realized two-way with Mishap Database 9
Connection, fault reasoning processing system 3 include that characteristic signal monitors module 31, characteristic signal analysis module 32, characteristic signal comparison
Module 33, alarm starting module 34, eigenvalue threshold artificial contrast module 35 and manual alarm module 36, characteristic signal monitor mould
The output end of block 31 and the input terminal of characteristic signal analysis module 32 are electrically connected, the output end of characteristic signal analysis module 32 with
The input terminal of characteristic signal contrast module 33 is electrically connected, the output end and alarm starting module 34 of characteristic signal contrast module 33
Input terminal be electrically connected, by fault reasoning processing system 3 include characteristic signal monitor module 31, characteristic signal analysis module
32, characteristic signal contrast module 33, alarm starting module 34, artificial 35 contrast module of eigenvalue threshold and manual alarm module
36, data persistence speed improves, and data can back up, and when uploading data generation mistake or corrupted data, does not influence
Follow-up work, the realization of characteristic signal contrast module 33 and Mishap Database 9 are bi-directionally connected, the output end for starting module 34 of alarming with
The input terminal of eigenvalue threshold artificial contrast module 35 is electrically connected, the output end of eigenvalue threshold artificial contrast module 35 with
The input terminal of manual alarm module 36 is electrically connected, and fault model storage unit 4 includes failure information read module 41, number of faults
It learns modeling module 42, fault model preserving module 43, internet fault model read module 44 and fault model network and uploads mould
Block 45, the output end of failure information read module 41 and the input terminal of failure mathematics modeling module 42 are electrically connected, failure mathematics
The output end of modeling module 42 and the input terminal of fault model preserving module 43 are electrically connected, and internet fault model is read
The output end of module 44 and the input terminal of fault model preserving module 43 are electrically connected, the output end of fault model preserving module 43
It is electrically connected with the input terminal of fault model network uploading module 45, alarm system 5 includes alert analysis module 51, failure feelings
It calls the score and analyses feedback module 52 and siren module 53, the output end of alert analysis module 51 electrically connects with the input terminal of siren module 53
It connects, alert analysis module 51 is bi-directionally connected with the failure information analysis realization of feedback module 52, and power-supply system 6 includes electrical power stabilization mould
Block 61 and switch regulation module 62, the output end of electrical power stabilization module 61 and the input terminal of switch regulation module 62 are electrically connected,
Artificial data and model manipulation unit 7 include artificial data read module 71, artificial data contrast module 72, artificial data and mould
Type processing module 73, data processing log saving module 74 and data processing log uploading module 75, artificial data read module
71 output end and the input terminal of artificial data contrast module 72 are electrically connected, the output end of artificial data contrast module 72 with
The input terminal of artificial data and model processing modules 73 is electrically connected, the output end and number of artificial data and model processing modules 73
It is electrically connected according to the input terminal of processing log saving module 74, the output end of data processing log saving module 74 and data processing
The input terminal of log uploading module 75 is electrically connected, and fault data administrative unit 8 includes that failure information monitors module 81, failure feelings
Report analysis module 82, failure information preserving module 83, the automatic uploading module 84 of failure information, failure information feedback module 85 and event
Hinder the manual uploading module 86 of information, failure information monitors the output end of module 81 and the input terminal electricity of failure information analysis module 82
Property connection, the input terminal of the output end of failure information analysis module 82 and failure information preserving module 83 is electrically connected, failure feelings
The input terminal of the output end and the automatic uploading module 84 of failure information of reporting preserving module 83 is electrically connected, and failure information uploads automatically
The output end of module 84 and the input terminal of the manual uploading module 86 of failure information are electrically connected, the automatic uploading module 84 of information and event
The barrier realization of information feedback module 85 is bi-directionally connected.
In use, opening power-supply system 6, when elevator works normally, fault data administrative unit 8 passes to specific data
Mishap Database 9 is saved, and concrete operations are failure information monitoring module 81 to the monitoring of elevator working order moment, once it supervises
Its authenticity will be analyzed by failure information analysis module 82 by hearing that fault-signal is incoming, then be protected by failure information
Storing module 83 is saved, and is passed to Mishap Database 9 by the automatic uploading module 84 of failure information therewith, if network failure,
Feedback signal is passed into failure information feedback module 85, has staff to upload by the manual uploading module 86 of failure information,
Fault model storage unit 4 reads the data in identification Mishap Database 9 by central processing system 1 and then establishes fault model
And fault model is saved to Mishap Database 9, concrete operations are that failure information read module 41 is stored into Mishap Database 9
Fault-signal read, then by failure when synthesis operating condition by failure mathematics modeling module 42 summary summarize, at the same time
Extraneous known fault model can be passed through into fault model network uploading module 45 by internet fault model read module 44
It is stored in Mishap Database 9, when elevator works normally, 3 moment of fault reasoning processing system is analyzed and finally starts alarm system 5
The elevator that 31 pairs of module operations are monitored in alarm, specially characteristic signal is monitored always, is listened to exception and is passed the signal along to feature
Signal analysis module 32, then through characteristic signal contrast module 33 compared with known models, finally starting alarm starting module
34, when single features signal severe overweight, for example when overspeed seriously, manual operation eigenvalue threshold artificial contrast's mould can be passed through
Block 35 actively starts manual alarm module 36, finally alarms, while data are uploaded to Mishap Database 9, and elevator is transported for a long time
After row, staff carries out artificial error correction to the data saved by artificial data and model manipulation unit 7, and concrete operations are
Manually data and model are read out by artificial data read module 71, artificial data contrast module 72 and are compared, are then led to
It crosses artificial data and model processing modules 73 carries out the processing such as deleting, then system generates log and saved by data processing log
Module 74, data processing log uploading module 75 are uploaded preservation to Mishap Database 9, can check in the future staff's
Workload, central processing system 1 are stored in Mishap Database 9 to fault data administrative unit 8 by database security operation module 2
Data carry out processing analysis, can the data in superficial failure database 9 faulty operations such as cause accidentally to delete in direct operation,
Alarm system 5 analyzes whether signal is wrong report first when receiving and alarming enabling signal, then by data feedback, opens after determining
Dynamic siren module 53 sounds an alarm, and power-supply system 6 will be handled alternating current or battery by electrical power stabilization module 61, then
It is powered according to service condition in specific elevator to its power device.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (8)
1. a kind of Elevator Fault Diagnosis and early warning system based on data-driven, including central processing system (1) and database peace
Full operation module (2), the central processing system (1) and database safety operation module (2) realization are bi-directionally connected, and feature exists
In: the central processing system (1) is realized with fault reasoning processing system (3) and fault model storage unit (4) two-way respectively
Connection, the output end of the central processing system (1) and the input terminal of alarm system (5) are electrically connected, the central processing system
Unite (1) input terminal and power-supply system (6) output end be electrically connected, the database security operation module (2) respectively with people
Number evidence and model manipulation unit (7) and fault data administrative unit (8) realization are bi-directionally connected, the fault data administrative unit
(8) it realizes and is bi-directionally connected with Mishap Database (9).
2. a kind of Elevator Fault Diagnosis and early warning system based on data-driven according to claim 1, it is characterised in that:
The fault reasoning processing system (3) includes that characteristic signal monitors module (31), characteristic signal analysis module (32), characteristic signal
Contrast module (33), alarm starting module (34), eigenvalue threshold artificial contrast module (35) and manual alarm module (36), institute
It states characteristic signal and monitors the output end of module (31) and the input terminal electric connection of characteristic signal analysis module (32), the feature
The output end of signal analysis module (32) and the input terminal of characteristic signal contrast module (33) are electrically connected, the characteristic signal pair
It is electrically connected than the output end of module (33) and the input terminal of alarm starting module (34), the characteristic signal contrast module (33)
It realizes and is bi-directionally connected with Mishap Database (9), the output end of alarm starting module (34) and eigenvalue threshold artificial contrast
The input terminal of module (35) is electrically connected, the output end and manual alarm module of the eigenvalue threshold artificial contrast module (35)
(36) input terminal is electrically connected.
3. a kind of Elevator Fault Diagnosis and early warning system based on data-driven according to claim 1, it is characterised in that:
The fault model storage unit (4) includes failure information read module (41), failure mathematics modeling module (42), fault model
Preserving module (43), internet fault model read module (44) and fault model network uploading module (45), the failure feelings
The input terminal of the output end and failure mathematics modeling module (42) of reporting read module (41) is electrically connected, the failure mathematical modeling
The output end of module (42) and the input terminal of fault model preserving module (43) are electrically connected, and internet fault model is read
The output end of module (44) and the input terminal of fault model preserving module (43) are electrically connected, the fault model preserving module
(43) input terminal of output end and fault model network uploading module (45) is electrically connected.
4. a kind of Elevator Fault Diagnosis and early warning system based on data-driven according to claim 1, it is characterised in that:
The alarm system (5) includes alert analysis module (51), failure information analysis feedback module (52) and siren module (53), institute
The input terminal of the output end and siren module (53) of stating alert analysis module (51) is electrically connected, the alert analysis module (51)
It realizes and is bi-directionally connected with failure information analysis feedback module (52).
5. a kind of Elevator Fault Diagnosis and early warning system based on data-driven according to claim 1, it is characterised in that:
The power-supply system (6) includes that electrical power stabilization module (61) and switch regulate and control module (62), the electrical power stabilization module (61)
Output end and the input terminal of switch regulation module (62) are electrically connected.
6. a kind of Elevator Fault Diagnosis and early warning system based on data-driven according to claim 1, it is characterised in that:
The artificial data and model manipulation unit (7) include artificial data read module (71), artificial data contrast module (72), people
Number evidence and model processing modules (73), data processing log saving module (74) and data processing log uploading module (75),
The output end of the artificial data read module (71) and the input terminal of artificial data contrast module (72) are electrically connected, the people
Number is electrically connected according to the output end and artificial data of contrast module (72) and the input terminal of model processing modules (73), the people
The input terminal of the output end and data processing log saving module (74) of number evidence and model processing modules (73) is electrically connected, institute
The input terminal of the output end and data processing log uploading module (75) of stating data processing log saving module (74) is electrically connected.
7. a kind of Elevator Fault Diagnosis and early warning system based on data-driven according to claim 1, it is characterised in that:
The fault data administrative unit (8) includes that failure information monitors module (81), failure information analysis module (82), failure information
Preserving module (83), the automatic uploading module of failure information (84), failure information feedback module (85) and failure information upload manually
Module (86), the failure information monitors the output end of module (81) and the input terminal of failure information analysis module (82) electrically connects
It connects, the output end of the failure information analysis module (82) and the input terminal of failure information preserving module (83) are electrically connected.
8. a kind of Elevator Fault Diagnosis and early warning system based on data-driven according to claim 7, it is characterised in that:
The output end of the failure information preserving module (83) and the input terminal of the automatic uploading module of failure information (84) are electrically connected, institute
The input terminal of the output end and the manual uploading module of failure information (86) of stating the automatic uploading module of failure information (84) is electrically connected,
The automatic uploading module of information (84) is realized with failure information feedback module (85) and is bi-directionally connected.
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| CN201910432328.3A CN110436289A (en) | 2019-05-22 | 2019-05-22 | A kind of Elevator Fault Diagnosis and early warning system based on data-driven |
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| CN201910432328.3A CN110436289A (en) | 2019-05-22 | 2019-05-22 | A kind of Elevator Fault Diagnosis and early warning system based on data-driven |
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| CN102254201A (en) * | 2011-07-19 | 2011-11-23 | 华东理工大学 | System and method for identifying and detecting communication cables in field of engineering by using radio frequency identification (RFID) tag |
| CN102765643A (en) * | 2012-05-31 | 2012-11-07 | 天津大学 | Elevator fault diagnosis and early-warning method based on data drive |
| CN103926913A (en) * | 2014-05-08 | 2014-07-16 | 中国水利水电第七工程局有限公司 | Total station tunnel deformation remote monitoring system and establishing method thereof |
| CN205527123U (en) * | 2016-03-07 | 2016-08-31 | 爱梯物联网技术有限公司 | Elevator remote monitoring and trouble early warning rescue system |
| CN108689265A (en) * | 2017-03-30 | 2018-10-23 | 株式会社日立大厦系统 | The maintenance and support system of lift |
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2019
- 2019-05-22 CN CN201910432328.3A patent/CN110436289A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254201A (en) * | 2011-07-19 | 2011-11-23 | 华东理工大学 | System and method for identifying and detecting communication cables in field of engineering by using radio frequency identification (RFID) tag |
| CN102765643A (en) * | 2012-05-31 | 2012-11-07 | 天津大学 | Elevator fault diagnosis and early-warning method based on data drive |
| CN103926913A (en) * | 2014-05-08 | 2014-07-16 | 中国水利水电第七工程局有限公司 | Total station tunnel deformation remote monitoring system and establishing method thereof |
| CN205527123U (en) * | 2016-03-07 | 2016-08-31 | 爱梯物联网技术有限公司 | Elevator remote monitoring and trouble early warning rescue system |
| CN108689265A (en) * | 2017-03-30 | 2018-10-23 | 株式会社日立大厦系统 | The maintenance and support system of lift |
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Application publication date: 20191112 |