CN110482352A - A kind of elevator traction force monitoring methods and monitoring device based on data-driven - Google Patents
A kind of elevator traction force monitoring methods and monitoring device based on data-driven Download PDFInfo
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- CN110482352A CN110482352A CN201910753707.2A CN201910753707A CN110482352A CN 110482352 A CN110482352 A CN 110482352A CN 201910753707 A CN201910753707 A CN 201910753707A CN 110482352 A CN110482352 A CN 110482352A
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- traction
- base station
- lift car
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B11/00—Main component parts of lifts in, or associated with, buildings or other structures
- B66B11/04—Driving gear ; Details thereof, e.g. seals
-
- 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
- B66B5/0087—Devices facilitating maintenance, repair or inspection tasks
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B7/00—Other common features of elevators
- B66B7/12—Checking, lubricating, or cleaning means for ropes, cables or guides
- B66B7/1207—Checking means
- B66B7/1215—Checking means specially adapted for ropes or cables
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Civil Engineering (AREA)
- Mechanical Engineering (AREA)
- Structural Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The present invention discloses a kind of elevator traction force monitoring methods and monitoring device based on data-driven, including step, and acquisition lift car acceleration changes over time signal and lift car site location；Obtain lift car difference website runing time；Longitudinal data and lateral data are respectively compared；Analysis determines whether traction degenerates.Leveling inductor is connect with controller signals in its monitoring device, acquires lift car site location signal；Leveling inductor is fixed on car top, and base station baffle is fixed on base station location in hoistway, determines carriage base station location.Beneficial effect, monitoring device is mounted in car top and hoistway, quick and easy for installation；The device is not limited independently of elevator self monitor by elevator model, versatile；Big data analysis method carries out longitudinal and transverse direction data between historical data to test result and compares, and with big data management to traction performance monitoring, instructs traction sheave/wire rope preventive maintenance to provide reference, reduces manpower maintenance cost.
Description
Technical field
The present invention relates to a kind of elevators to examine detection technique field；It is draged more particularly to a kind of elevator based on data-driven
Gravitation monitoring method and monitoring device.
Background technique
With the fast development of economic construction of China, high-rise building is rapidly built, and elevator also has become the people just
The vertical transportation instrument of benefit trip, plays an irreplaceable role, reliability of operation is also increasingly subject in daily life
Pay attention to.Important parameter one of of the traction as elevator design, traction are also to consider elevator safety, comfortable and stability
Key factor.As elevator uses for a long time, the factors such as wirerope over-lubrication, abrasion, traction sheave rope groove excessive wear can be made
Phenomena such as becoming smaller at coefficient of friction, all causing traction insufficient, traction sheave skidding, car slipping can occur when traction deficiency,
It is not only unable to satisfy the design requirement of elevator manufacturer, but also be easy to cause safety accident, brings great safety to boarding
Hidden danger.Therefore, the monitoring for tracking-driven elevator traction is most important, and elevator traction performance is also those skilled in the art
The key issues of research.
Patent publication No. is a kind of monitoring system based on radio detection traction machine state of 206575614U, discloses monitoring
System carries out the perception of traction machine operating state and the transmission of data using sensor technology and wireless communication technique, finally by
The data of terminal server are analyzed and processing, realize the judgement of traction machine operating state, but the system has the disadvantage that
1, the monitoring method needs to install additional torque sensor, temperature sensor and vibrating sensor, and additional sensor is set
It is standby various, and complexity is installed, universality is not strong；
2, the monitoring method is mainly based upon the monitoring for holding operating status to machine shaft and realizes traction machine abnormal alarm, point
Analysis result is easy to appear wrong report phenomenon.
Patent publication No. is the detection method of 105438907A elevator traction power, is disclosed through detection elevator from urgent
The case where situation of movement in stopped process judges elevator traction power is braked, but is had the disadvantage that
1, it is poor that the distance between the absolute position of lift car and the physical location of leveling are calculated in detection method, by elevator
Brake force influences, and there are deviations；
2, the requirement in detection method for level position is to be not limited to the floor nearest apart from elevator stop position, detection
As a result it is had differences by the difference of level position.
Summary of the invention
The technical problem to be solved by the present invention is to overcome prior art defect, provide one kind without human intervention, reliably
It is convenient, the hypodynamic elevator traction force monitoring methods of elevator traction and monitoring device can be prevented in time.
The technical scheme adopted by the invention is that a kind of elevator traction force monitoring methods based on data-driven, including with
Lower step,
A. acquisition lift car acceleration changes over time signal and lift car site location；
B. lift car is obtained to be run by website i to the runing time of website j
C. longitudinal data compares；
D. lateral data compare；
E. data analysis is compared, and determines whether traction degenerates；
F. it safeguards or continues to run.
The step C obtains the history output data of runing time to same elevator by monitoring And analysis is compared between the runing time data the identical starting of same elevator/stop website；
Between the runing time data the identical starting of same elevator/stop websiteIt carries out
Arithmetic average obtains
The step D forms data accumulation after being monitored to the elevator of same model identical parameters, and it is average to obtain elevator
Runing timeAnd between the identical starting of the elevator of same model identical parameters/stop website
Elevator average operating time is analyzed and is compared；
The step E longitudinal data relatively in, elevator traction power decline cause the runing time between elevator same site to increase
Adding, extending the time by can be calculated operationIf
S in formulaLimitIt indicates that traction sheave single layer slippage limit value, V indicate rated speed of lift, then judges that elevator traction power is sent out
Raw significant degradation；
Lateral data relatively in, elevator traction power decline cause the runing time between elevator same site to increase, by divide
Data are compared in analysisIt obtainsAnd it calculatesIf
Then judge that significant degradation occurs for elevator traction power；
Lateral data relatively in, elevator traction power decline cause the runing time between elevator same site to increase, by divide
Data are compared in analysisIt obtainsElevator traction power situation in lateral data comparison is judged accordingly
Worst elevator reminds related personnel to carry out preventive inspection.
Realize the monitoring device of the elevator traction force monitoring methods based on data-driven, including, the first leveling inductor, the
Two leveling inductors, base station baffle and controller；The first leveling inductor and the second leveling inductor respectively with controller
Signal connection, acquires lift car site location signal；The first leveling inductor and the installation of the second leveling inductor are fixed
In car top, the base station baffle is mounted on the base station location set in hoistway for determining carriage base station location.
The controller includes becoming one the data transmission module for being mounted on car top, data processing and to deposit
Store up module, power module and acceleration transducer；It include that monitoring data can be uploaded in real time in the data transmission module
To the device of data service platform.
The controller includes being arranged respectively at the data transmission module that car top is mounted in blind boxes, number
According to processing and memory module, power module and acceleration transducer.
The invention has the advantages that (1) can facilitate since monitoring device is mounted in car top and hoistway
Efficiently install；(2) monitoring device is not limited independently of elevator self monitor by elevator model, versatile；(3) using big
Data analysing method compares the longitudinal data between test result progress historical data and lateral data compare, and realizes to count greatly
Monitoring according to the mode of thinking of management to traction performance, can be to instruct the preventive maintenance of traction sheave/wirerope to provide theory
With reference to reduction manpower maintenance cost；(4) warning information is issued to the elevator that traction is degenerated in time, is reduced because elevator drags
Elevator faults and accident caused by gravitation is insufficient.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the elevator traction power monitoring device the present invention is based on data-driven；
Fig. 2 is the elevator traction force monitoring methods device mounting arrangement figure the present invention is based on data-driven；
Fig. 3 is the elevator traction force monitoring methods flow chart the present invention is based on data-driven.
Specific embodiment
Invention is further described in detail with reference to the accompanying drawings and detailed description:
As shown in figure 3, a kind of elevator traction force monitoring methods based on data-driven of the present invention, include the following steps,
A. acquisition lift car acceleration changes over time signal and lift car site location；
B. lift car is obtained to be run by website i to the runing time of website jIf lift car website sum is n,
I, j, which respectively indicates lift car operation start site and stops website, 1≤i≤n, 1≤j≤n, and i ≠ j, m, indicates that elevator is compiled
Number, k indicates the acquisition number of the data between same elevator same site.
Table 1 is that data sampling of the present invention indicates example；
Table 1
C. longitudinal data compares；The history output data of runing time is obtained by monitoring to same elevatorAnd the runing time data the identical starting of same elevator/stop website are compared
Analysis；
Between the runing time data the identical starting of same elevator/stop websiteIt carries out
Arithmetic average obtains
D. lateral data compare；Data accumulation is formed after being monitored to the elevator of same model identical parameters, obtains electricity
Terraced average operating timeAnd to the identical starting/bus stop of the elevator of same model identical parameters
Elevator average operating time between point is analyzed and is compared；
E. data analysis is compared, and determines whether traction degenerates；The step E longitudinal data relatively in, elevator traction power
Decline causes the runing time between elevator same site to increase, and extends the time by can be calculated operation
If
S in formulaLimitIt indicates that traction sheave single layer slippage limit value, V indicate rated speed of lift, then judges that elevator traction power is sent out
Raw significant degradation；
Lateral data relatively in, elevator traction power decline cause the runing time between elevator same site to increase, by divide
Data are compared in analysisIt obtainsAnd it calculatesIf
Then judge that significant degradation occurs for elevator traction power；
Lateral data relatively in, elevator traction power decline cause the runing time between elevator same site to increase, by divide
Data are compared in analysisIt obtainsElevator traction power situation in lateral data comparison is judged accordingly
Worst elevator reminds related personnel to carry out preventive inspection.
As depicted in figs. 1 and 2, a kind of monitoring device for realizing the elevator traction force monitoring methods based on data-driven, packet
It includes, the first leveling inductor, the second leveling inductor, base station baffle and controller；The first leveling inductor and second flat
Layer inductor is connect with controller signals respectively, is acquired lift car site location signal, can be passed through gold mounted in hoistway
Belong to baffle and base station baffle realizes lift car site location signal monitoring；The first leveling inductor and the induction of the second leveling
Device is mounted on car top, and the base station baffle is mounted on setting in hoistway for determining carriage base station location
At base station location.The controller includes becoming one, and installation level in blind boxes can also be respectively configured and be fixed on carriage
The data transmission module (DTU) at top, data processing and memory module (CPU), power module and acceleration transducer；The number
According to including the device that monitoring data can be uploaded in real time to data service platform in transmission module.
The power module is used to power to monitoring device；
The data processing and memory module are for handling, storing acceleration transducer, the first leveling inductor and second
The signal of leveling inductor acquisition, and signal after processing is reached into data transmission module；
The data transmission module, for data to be reached data service platform；
The acceleration transducer be used for acquire elevator operation when acceleration signal, and by signal reach data processing and
Memory module；
The first leveling inductor for acquiring lift car site location signal, and by signal reach data processing and
Memory module is mounted on car top；
The second leveling inductor and base station baffle fit use, for acquiring lift car base station location signal, and
Signal is reached into data processing and memory module, is mounted on car top；
The base station baffle is mounted at the base station location set in hoistway for determining carriage base station location.
It is worth noting that protection scope of the present invention is not limited to above-mentioned specific example mode, it is according to the present invention
Basic fundamental design, it is also possible to which the purpose of the present invention may be implemented in basically same structure, as long as those of ordinary skill in the art
Creative work is needed not move through, the embodiment that can be associated all belongs to the scope of protection of the present invention.
Claims (5)
1. a kind of elevator traction force monitoring methods based on data-driven, which is characterized in that include the following steps,
A. acquisition lift car acceleration changes over time signal and lift car site location；
B. lift car is obtained to be run by website i to the runing time of website j
C. longitudinal data compares；
D. lateral data compare；
E. data analysis is compared, and determines whether traction degenerates；
F. it safeguards or continues to run.
2. the elevator traction force monitoring methods according to claim 1 based on data-driven, which is characterized in that the step
C obtains the history output data of runing time to same elevator by monitoringAnd to same
Runing time data between the identical starting of platform elevator/stop website are compared analysis；
Between the runing time data the identical starting of same elevator/stop websiteCarry out arithmetic
It is average, it obtains
The step D forms data accumulation after being monitored to the elevator of same model identical parameters, obtains elevator and averagely runs
TimeAnd between the elevator the identical starting of the elevator of same model identical parameters/stop website
Average operating time is analyzed and is compared；
The step E longitudinal data relatively in, the decline of elevator traction power causes the runing time between elevator same site to increase, logical
It crosses and can be calculated the operation extension timeIf
S in formulaLimitIt indicates that traction sheave single layer slippage limit value, V indicate rated speed of lift, then it is bright to judge that elevator traction power occurs
It is aobvious to degenerate；
Lateral data relatively in, elevator traction power decline cause the runing time between elevator same site to increase, pass through analysis ratio
Compared with dataIt obtainsAnd it calculatesIfThen sentence
It powers off terraced traction and significant degradation occurs；
Lateral data relatively in, elevator traction power decline cause the runing time between elevator same site to increase, pass through analysis ratio
Compared with dataIt obtainsJudge that elevator traction power situation is worst in lateral data comparison accordingly
Elevator, remind related personnel carry out preventive inspection.
3. realizing the monitoring device of the elevator traction force monitoring methods described in claim 1 based on data-driven, feature exists
In, including, the first leveling inductor, the second leveling inductor, base station baffle and controller；The first leveling inductor and
Two leveling inductors are connect with controller signals respectively, acquire lift car site location signal；The first leveling inductor
It is mounted on car top with the second leveling inductor, the base station baffle for determining carriage base station location, fix by installation
In the base station location set in hoistway.
4. the monitoring device of the elevator traction force monitoring methods according to claim 3 based on data-driven, feature exist
In the controller includes the become one data transmission module for being mounted on car top, data processing and storage mould
Block, power module and acceleration transducer；It include that monitoring data can be uploaded to number in real time in the data transmission module
According to the device of service platform.
5. the monitoring device of the elevator traction force monitoring methods according to claim 3 based on data-driven, feature exist
It include being arranged respectively at the data transmission module that car top is mounted in blind boxes, at data in, the controller
Reason and memory module, power module and acceleration transducer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910753707.2A CN110482352B (en) | 2019-08-15 | 2019-08-15 | Elevator traction force monitoring method and device based on data driving |
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| CN201910753707.2A CN110482352B (en) | 2019-08-15 | 2019-08-15 | Elevator traction force monitoring method and device based on data driving |
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| CN110482352A true CN110482352A (en) | 2019-11-22 |
| CN110482352B CN110482352B (en) | 2020-10-23 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111547591A (en) * | 2020-03-27 | 2020-08-18 | 重庆厚齐科技有限公司 | System for detecting non-door zone parking deviation of elevator by using U-shaped sensor of elevator |
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|---|---|---|---|---|
| JPH038681A (en) * | 1989-06-02 | 1991-01-16 | Mitsubishi Electric Corp | Main rope slippage detecting device of elevator |
| CN1845868A (en) * | 2004-05-28 | 2006-10-11 | 三菱电机株式会社 | Elevator rope slip detector and elevator system |
| JP2013227115A (en) * | 2012-04-25 | 2013-11-07 | Hitachi Ltd | Elevator |
| CN105905729A (en) * | 2016-06-30 | 2016-08-31 | 天津市特种设备监督检验技术研究院 | Detection method for braking force of elevator tractor based on big data |
| CN106115399A (en) * | 2016-06-30 | 2016-11-16 | 天津市特种设备监督检验技术研究院 | Elevator traction machine traction monitoring methods based on big data |
-
2019
- 2019-08-15 CN CN201910753707.2A patent/CN110482352B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH038681A (en) * | 1989-06-02 | 1991-01-16 | Mitsubishi Electric Corp | Main rope slippage detecting device of elevator |
| CN1845868A (en) * | 2004-05-28 | 2006-10-11 | 三菱电机株式会社 | Elevator rope slip detector and elevator system |
| JP2013227115A (en) * | 2012-04-25 | 2013-11-07 | Hitachi Ltd | Elevator |
| CN105905729A (en) * | 2016-06-30 | 2016-08-31 | 天津市特种设备监督检验技术研究院 | Detection method for braking force of elevator tractor based on big data |
| CN106115399A (en) * | 2016-06-30 | 2016-11-16 | 天津市特种设备监督检验技术研究院 | Elevator traction machine traction monitoring methods based on big data |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111547591A (en) * | 2020-03-27 | 2020-08-18 | 重庆厚齐科技有限公司 | System for detecting non-door zone parking deviation of elevator by using U-shaped sensor of elevator |
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| CN110482352B (en) | 2020-10-23 |
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