CN111847169A - Elevator traction steel wire rope state monitoring and early warning system and method based on algorithm model - Google Patents

Elevator traction steel wire rope state monitoring and early warning system and method based on algorithm model Download PDF

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CN111847169A
CN111847169A CN202010758016.4A CN202010758016A CN111847169A CN 111847169 A CN111847169 A CN 111847169A CN 202010758016 A CN202010758016 A CN 202010758016A CN 111847169 A CN111847169 A CN 111847169A
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steel wire
wire rope
elevator
monitoring
module
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唐吉深
苏安
钟友坤
吴启明
周波
谭黔林
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Hechi University
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006Monitoring devices or performance analysers
    • B66B5/0018Devices monitoring the operating condition of the elevator system
    • B66B5/0031Devices monitoring the operating condition of the elevator system for safety reasons
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/02Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
    • B66B5/12Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions in case of rope or cable slack
    • B66B5/125Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions in case of rope or cable slack electrical

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Abstract

An elevator traction steel wire rope state monitoring and early warning system and method based on an algorithm model relates to a monitoring and early warning system and method, and the method comprises the following steps: a) injecting current I into the steel wire rope, and detecting the voltage value U of the steel wire rope; b) firstly, operating the elevator for one period, and calculating and recording the initial characteristic value of the steel wire rope in the initial state of the elevator; c) monitoring the running of the elevator, collecting and calculating a monitoring characteristic value of a steel wire rope in a period and storing the monitoring characteristic value; d) judging whether the steel wire rope is elongated, worn and broken according to the characteristic value of the steel wire rope; if yes, e) is executed, if not, c) is repeatedly executed; e) and sending the information of elongation, abrasion and breakage of the steel wire rope and the position information of the change of the steel wire rope to a terminal and a management platform. The system comprises a current module, a voltage detection module, a storage module and the like. The invention can reduce manpower and material resources for elevator operation and also reduce the risk of major accidents caused by the overall fracture of the steel wire rope.

Description

Elevator traction steel wire rope state monitoring and early warning system and method based on algorithm model
Technical Field
The invention relates to a monitoring and early warning system and a method, in particular to an algorithm model-based elevator traction steel wire rope state monitoring and early warning system and a method.
Background
In modern society, the use of elevators is so extensive that it is inseparable from people's daily lives, and has become a facility for transporting people and goods everywhere in multi-story buildings, and the safety performance of elevators plays an important role because they frequently stop at each floor throughout the day and operate continuously.
The elevator dragging steel wire rope plays a vital role in the safe operation of the elevator, the steel wire rope is not a durable elevator component and belongs to an easily-consumed product, and because the steel wire rope is loaded for a long time and is repeatedly bent, stretched, rubbed and the like, when the service life of the steel wire rope reaches the limit, the conditions of steel wire rope fracture, abrasion and the like also belong to normal phenomena, if the steel wire rope is not processed in time, the whole steel wire rope fracture occurs, and thus the risk of serious malignant accidents is caused. Therefore, the conditions of wire breakage and strand breakage of the steel wire rope are detected in time, and the seriously damaged traction steel wire rope is replaced in advance, which is very important for the use safety.
However, current elevator safety systems do not have any protection and monitoring devices for traction rope damage. Generally, maintenance personnel regularly check and maintain, so that the expected effect of real-time online monitoring cannot be achieved. If the traction steel wire rope is broken or scattered, the comfortable sensation of the elevator is reduced or the noise is generated if the traction steel wire rope is light, other parts are damaged or people trapping is caused if the traction steel wire rope is heavy, and the safety performance of the elevator is greatly reduced.
The patent of the invention with application publication number CN109230952A discloses a method and a system for monitoring tension and performance degradation of an elevator traction steel belt, which mainly aim at monitoring the tension and performance degradation of the elevator steel belt, and can not detect whether an elevator steel wire rope is elongated, worn and broken, and can not judge the position of the tension and performance degradation of the steel belt.
The invention discloses an elevator traction machine steel wire rope state early warning system based on the Internet of things, which mainly detects the state of a steel wire rope by a magnetic detection method, acquires first detection data, detects the state of the steel wire rope by a current method, detects the state of the steel wire rope by a strong magnetic detection method, acquires corresponding data, performs corresponding processing, compares the processed data with a corresponding threshold value, and serves as a judgment basis. The invention does not specifically provide a specific method for detecting the state of the elevator steel wire rope by a current method and acquiring the section information of the detected elevator steel wire rope, and meanwhile, the position of the elevator steel wire rope in an abnormal state cannot be positioned.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the elevator traction steel wire rope state monitoring and early warning system and method based on the algorithm model are provided, and the defects that whether the elevator steel wire rope is elongated, worn and broken or not cannot be detected and the position of the elevator steel wire rope in an abnormal state cannot be positioned in the prior art are overcome.
The technical scheme for solving the technical problems is as follows: an elevator traction steel wire rope state monitoring and early warning method based on an algorithm model comprises the following steps:
a) detecting a voltage value:
injecting current I into the steel wire rope, and detecting the voltage value U of the steel wire rope;
b) calculating and recording the initial characteristic value of the steel wire rope
Firstly, operating the elevator for one period, and calculating and recording the initial characteristic value of the steel wire rope in the initial state of the elevator;
c) calculating and storing the monitoring characteristic value of the steel wire rope
Monitoring the running of the elevator, collecting and calculating a monitoring characteristic value of a steel wire rope in a period and storing the monitoring characteristic value;
d) judging whether the steel wire rope is elongated, abraded and broken
Judging whether the steel wire rope is elongated, worn and broken according to the characteristic value of the steel wire rope; if yes, e) is executed, if not, c) is repeatedly executed;
e) sending information to a terminal and management platform
And sending the information of elongation, abrasion and breakage of the steel wire rope and the position information of the change of the steel wire rope to a terminal and a management platform.
The further technical scheme of the invention is as follows: in the step b), one period of the first-time operation of the elevator is from the lowest layer to the highest layer and then to the lowest layer of the first-time operation of the elevator, and the initial characteristic value comprises voltages U of all points collected in one period of the first-time operation of the elevator0(i) (i 1, 2, 3 … … n), and converting the resistance value R of the corresponding point by an initial algorithm model formula0(i) (ii) a Initial algorithm model formula:
Figure BDA0002612217520000021
wherein:
R0(i) is the resistance value of the initial ith point, U0(i) Is the voltage value of the initial ith point, e0Is the initial temperature coefficient of resistivity, T0Is the initial temperature, XK0Other environmental correction values are initiated.
The further technical scheme of the invention is as follows: in step c), the period is from the lowest layer to the highest layer and then to the lowest layer of the elevator, and the monitoring characteristic value comprises voltages U of all points collected in one period of elevator operationm(i) (i is 1, 2, 3 … … n), and converting the resistance value R of the corresponding point through a monitoring algorithm model formulam(i) (ii) a Monitoring algorithm model formula:
Figure BDA0002612217520000031
wherein:
Rm(i) to monitor the resistance at point i, Um(i) To monitor the voltage value at the i-th point, emFor monitoring the temperature coefficient of resistance, TmFor monitoring the temperature, XKmOther environmental corrections are monitored.
The further technical scheme of the invention is as follows: in the step d), the algorithm for judging whether the elevator steel wire rope is elongated, worn and broken is as follows:
Figure BDA0002612217520000032
Figure BDA0002612217520000033
Figure BDA0002612217520000034
wherein N is the number of points acquired in one period, N is the number of times of acquiring each point together, and delta (i) is an abnormal output value, when delta (i) is more than or equal to a, the steel wire of the ladder steel wire rope is elongated and worn, when delta (i) is less than or equal to b, the steel wire of the ladder steel wire rope is broken, when delta (i) is more than or equal to b, the steel wire of the ladder steel wire rope is normal, and a and b are preset threshold values; l is the total length of the steel wire rope, and Delta L is the distance from the abnormal position to the bottommost layer of the elevator.
The further technical scheme of the invention is as follows: in step e), the abnormal output value Δ (i) and the abnormal position output value Δ L are sent to the terminal and the management platform.
The other technical scheme of the invention is as follows: an elevator traction steel wire rope state monitoring and early warning system based on an algorithm model comprises a current module, a voltage detection module, a storage module, a data processing module, a communication module, a terminal and a management platform, wherein the current module comprises a plurality of groups of periodic current sources, the voltage detection module is used for collecting the voltage of a steel wire rope, the data processing module is used for receiving the data of the voltage detection module, calculating a characteristic value, storing the characteristic value in the storage module and judging whether the elevator steel wire rope has the problems of elongation, abrasion and fracture, and the communication module is used for communicating with the terminal and the management platform and sending the information of elongation, abrasion and fracture of the elevator steel wire rope and the position information of the change of the steel wire rope to the terminal and the management platform; the output end of the current module is connected with the steel wire rope, the input end of the voltage detection module is connected with the steel wire rope, and the output end of the voltage detection module is connected with the input end of the data processing module; the output end of the data processing module is in communication connection with the terminal and the management platform through the communication module, and the input end and the output end of the data processing module are connected with the storage module.
The further technical scheme of the invention is as follows: the system also comprises a temperature detection module for collecting the temperature information of the steel wire rope, wherein the input end of the temperature detection module is connected with the steel wire rope, and the output end of the temperature detection module is connected with the input end of the data processing module.
The invention has the further technical scheme that: the communication module adopts a 5G communication module.
Due to the adoption of the structure, compared with the prior art, the elevator traction steel wire rope state monitoring and early warning system and method based on the algorithm model have the following beneficial effects:
1. can detect whether elevator wire rope appears lengthening, wearing and tearing, fracture to and the location of elevator wire rope abnormal state takes place fixes a position:
the invention comprises the following steps: a) injecting current I into the steel wire rope, and detecting the voltage value U of the steel wire rope; b) firstly, operating the elevator for one period, and calculating and recording the initial characteristic value of the steel wire rope in the initial state of the elevator; c) monitoring the running of the elevator, collecting and calculating a monitoring characteristic value of a steel wire rope in a period and storing the monitoring characteristic value; d) judging whether the steel wire rope is elongated, worn and broken according to the characteristic value of the steel wire rope; if yes, e) is executed, if not, c) is repeatedly executed; e) and sending the information of elongation, abrasion and breakage of the steel wire rope and the position information of the change of the steel wire rope to a terminal and a management platform. Therefore, the invention can accurately judge whether the steel wire of the elevator steel wire rope is elongated, worn or broken, and can also accurately judge the position of the steel wire rope which changes.
2. Real-time monitoring and early warning of elevator steel wire rope can be realized
The invention can accurately judge whether the steel wire of the elevator steel wire rope is elongated, worn or broken, and can also accurately judge the position of the steel wire rope, so that the information of whether the steel wire of the elevator steel wire rope is elongated, worn or broken and the position of the steel wire rope is changed is sent to the terminal and the management platform, thereby realizing the real-time monitoring and early warning of the elevator steel wire rope.
3. Can reduce the risk of elevator safety accidents
The elevator steel wire rope real-time monitoring and early warning device can realize real-time monitoring and early warning of the elevator steel wire rope, and can also position the position of the elevator steel wire rope in the situations of abrasion, fracture and the like, so that manpower and material resources for elevator operation can be reduced, and the risk of major safety accidents caused by the overall fracture of the steel wire rope can be reduced.
4. The detection is accurate and reliable
After the elevator is installed, the resistance value of the steel wire rope is monitored in real time, corresponding characteristic values are extracted, historical data of the resistance value of the steel wire rope are compared, whether the elevator steel wire rope is elongated, abraded and broken or not is monitored, and the detection structure is accurate and reliable.
The technical features of the system and method for monitoring and warning the state of the elevator traction steel wire rope based on the algorithm model according to the present invention will be further described with reference to the accompanying drawings and embodiments.
Drawings
FIG. 1: embodiment one said elevator based on algorithm model hauls the functional block diagram of the wire rope state monitoring early warning system of the invention;
FIG. 2: embodiment two describes the flow chart of the elevator traction steel wire rope state monitoring and early warning method based on the algorithm model.
Detailed Description
Example one
The utility model provides an elevator tows wire rope state monitoring early warning system based on algorithm model, this system includes current module, voltage detection module, temperature detection module, storage module, data processing module, communication module, terminal and management platform, wherein:
the current module comprises a plurality of groups of periodic current sources, the voltage detection module is used for collecting the voltage of the steel wire rope, the temperature detection module is used for collecting the temperature information of the steel wire rope, the data processing module is used for receiving the data of the voltage detection module and the temperature detection module, calculating a characteristic value, storing the characteristic value in the storage module and judging whether the steel wire rope of the elevator is elongated, worn and broken, the communication module is used for communicating with a terminal and a management platform and sending the information of elongation, wear and breakage of the steel wire rope of the elevator and the position information of change of the steel wire rope to the terminal and the management platform, and the communication module adopts a 5G communication module;
the output end of the current module is connected with the steel wire rope, the input ends of the voltage detection module and the temperature detection module are connected with the steel wire rope, and the output ends of the voltage detection module and the temperature detection module are connected with the input end of the data processing module; the output end of the data processing module is in communication connection with the terminal and the management platform through the communication module, and the input end and the output end of the data processing module are connected with the storage module.
Example two
An elevator traction steel wire rope state monitoring and early warning method based on an algorithm model comprises the following steps:
a) detecting a voltage value:
injecting current I into the steel wire rope, and detecting the voltage value U of the steel wire rope;
b) calculating and recording the initial characteristic value of the steel wire rope
Firstly, operating the elevator for one period, and calculating and recording the initial characteristic value of the steel wire rope in the initial state of the elevator;
c) calculating and storing the monitoring characteristic value of the steel wire rope
Monitoring the running of the elevator, collecting and calculating a monitoring characteristic value of a steel wire rope in a period and storing the monitoring characteristic value;
d) judging whether the steel wire rope is elongated, abraded and broken
Judging whether the steel wire rope is elongated, worn and broken according to the characteristic value of the steel wire rope; if yes, e) is executed, if not, c) is repeatedly executed;
e) sending information to a terminal and management platform
And sending the information of elongation, abrasion and breakage of the steel wire rope and the position information of the change of the steel wire rope to a terminal and a management platform.
In step b), one period of the first-time running elevator is that the first-time running elevator runs from the lowest floor to the highest floor and then to the lowest floor, and the initial characteristicThe values include the voltages U of the points collected during a period of first operation of the elevator0(i) (i 1, 2, 3 … … n), and converting the resistance value R of the corresponding point by an initial algorithm model formula0(i) (ii) a Initial algorithm model formula:
Figure BDA0002612217520000061
wherein:
R0(i) is the resistance value of the initial ith point, U0(i) Is the voltage value of the initial ith point, e0Is the initial temperature coefficient of resistivity, T0Is the initial temperature, XK0Initial other environment (humidity, amount of lubricant, etc.) corrections.
In step c), the period is from the lowest layer to the highest layer and then to the lowest layer of the elevator, and the monitoring characteristic value comprises voltages U of all points collected in one period of elevator operationm(i) (i is 1, 2, 3 … … n), and converting the resistance value R of the corresponding point through a monitoring algorithm model formulam(i) (ii) a Monitoring algorithm model formula:
Figure BDA0002612217520000062
wherein:
Rm(i) to monitor the resistance at point i, Um(i) To monitor the voltage value at the i-th point, XtmFor monitoring temperature correction values, pmTo monitor the resistivity, emFor monitoring the temperature coefficient of resistance, TmFor monitoring the temperature, XKmOther environmental (humidity, amount of lubricant, etc.) corrections are monitored.
In the step d), the algorithm for judging whether the elevator steel wire rope is elongated, worn and broken is as follows:
Figure BDA0002612217520000063
Figure BDA0002612217520000064
Figure BDA0002612217520000065
wherein N is the number of points acquired in one period, N is the number of times of acquiring each point together, and delta (i) is an abnormal output value, when delta (i) is more than or equal to a, the steel wire of the ladder steel wire rope is elongated and worn, when delta (i) is less than or equal to b, the steel wire of the ladder steel wire rope is broken, when delta (i) is more than or equal to b, the steel wire of the ladder steel wire rope is normal, and a and b are preset threshold values; l is the total length of the steel wire rope, and Delta L is the distance from the abnormal position to the bottommost layer of the elevator.
In step e), the abnormal output value Δ (i) and the abnormal position output value Δ L are sent to the terminal and the management platform.

Claims (8)

1. An elevator traction steel wire rope state monitoring and early warning method based on an algorithm model is characterized in that: the method comprises the following steps:
a) detecting a voltage value:
injecting current I into the steel wire rope, and detecting the voltage value U of the steel wire rope;
b) calculating and recording the initial characteristic value of the steel wire rope
Firstly, operating the elevator for one period, and calculating and recording the initial characteristic value of the steel wire rope in the initial state of the elevator;
c) calculating and storing the monitoring characteristic value of the steel wire rope
Monitoring the running of the elevator, collecting and calculating a monitoring characteristic value of a steel wire rope in a period and storing the monitoring characteristic value;
d) judging whether the steel wire rope is elongated, abraded and broken
Judging whether the steel wire rope is elongated, worn and broken according to the characteristic value of the steel wire rope; if yes, e) is executed, if not, c) is repeatedly executed;
e) sending information to a terminal and management platform
And sending the information of elongation, abrasion and breakage of the steel wire rope and the position information of the change of the steel wire rope to a terminal and a management platform.
2. The algorithmic model based elevator traction wire rope form of claim 1The state monitoring and early warning method is characterized by comprising the following steps: in the step b), one period of the first-time operation of the elevator is from the lowest layer to the highest layer and then to the lowest layer of the first-time operation of the elevator, and the initial characteristic value comprises voltages U of all points collected in one period of the first-time operation of the elevator0(i) (i 1, 2, 3 … … n), and converting the resistance value R of the corresponding point by an initial algorithm model formula0(i) (ii) a Initial algorithm model formula:
Figure FDA0002612217510000011
wherein:
R0(i) is the resistance value of the initial ith point, U0(i) Is the voltage value of the initial ith point, e0Is the initial temperature coefficient of resistivity, T0Is the initial temperature, XK0Other environmental correction values are initiated.
3. The elevator traction steel wire rope state monitoring and early warning method based on the algorithm model as recited in claim 1, characterized in that: in step c), the period is from the lowest layer to the highest layer and then to the lowest layer of the elevator, and the monitoring characteristic value comprises voltages U of all points collected in one period of elevator operationm(i) (i is 1, 2, 3 … … n), and converting the resistance value R of the corresponding point through a monitoring algorithm model formulam(i) (ii) a Monitoring algorithm model formula:
Figure FDA0002612217510000012
wherein:
Rm(i) to monitor the resistance at point i, Um(i) To monitor the voltage value at the i-th point, emFor monitoring the temperature coefficient of resistance, TmFor monitoring the temperature, XKmOther environmental corrections are monitored.
4. The elevator traction steel wire rope state monitoring and early warning method based on the algorithm model as recited in claim 1, characterized in that: in the step d), the algorithm for judging whether the elevator steel wire rope is elongated, worn and broken is as follows:
Figure FDA0002612217510000021
Figure FDA0002612217510000022
Figure FDA0002612217510000023
wherein N is the number of points acquired in one period, N is the number of times of acquiring each point together, and delta (i) is an abnormal output value, when delta (i) is more than or equal to a, the steel wire of the ladder steel wire rope is elongated and worn, when delta (i) is less than or equal to b, the steel wire of the ladder steel wire rope is broken, when delta (i) is more than or equal to b, the steel wire of the ladder steel wire rope is normal, and a and b are preset threshold values; l is the total length of the steel wire rope, and Delta L is the distance from the abnormal position to the bottommost layer of the elevator.
5. The elevator traction steel wire rope state monitoring and early warning method based on the algorithm model as recited in claim 1, characterized in that: in step e), the abnormal output value Δ (i) and the abnormal position output value Δ L are sent to the terminal and the management platform.
6. The utility model provides an elevator tows wire rope state monitoring early warning system based on algorithm model which characterized in that: the system comprises a current module, a voltage detection module, a storage module, a data processing module, a communication module, a terminal and a management platform, wherein the current module comprises a plurality of groups of periodic current sources, the voltage detection module is used for collecting the voltage of the steel wire rope, the data processing module is used for receiving the data of the voltage detection module, calculating a characteristic value, storing the characteristic value in the storage module and judging whether the steel wire rope of the elevator is elongated, worn and broken, and the communication module is used for communicating with the terminal and the management platform and sending the information of elongation, wear and breakage of the steel wire rope of the elevator and the position information of the change of the steel wire rope to the terminal and the management platform; the output end of the current module is connected with the steel wire rope, the input end of the voltage detection module is connected with the steel wire rope, and the output end of the voltage detection module is connected with the input end of the data processing module; the output end of the data processing module is in communication connection with the terminal and the management platform through the communication module, and the input end and the output end of the data processing module are connected with the storage module.
7. The elevator traction wire rope state monitoring and early warning system based on the algorithm model as claimed in claim 6, wherein: the system also comprises a temperature detection module for collecting the temperature information of the steel wire rope, wherein the input end of the temperature detection module is connected with the steel wire rope, and the output end of the temperature detection module is connected with the input end of the data processing module.
8. The elevator traction wire rope state monitoring and early warning system based on the algorithm model as claimed in claim 6 or 7, wherein: the communication module adopts a 5G communication module.
CN202010758016.4A 2020-07-31 2020-07-31 Elevator traction steel wire rope state monitoring and early warning system and method based on algorithm model Pending CN111847169A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112456271A (en) * 2020-12-14 2021-03-09 中铁第四勘察设计院集团有限公司 Real-time online encircling elevator steel wire rope distribution quadrant monitoring system and method
CN112723079A (en) * 2020-12-14 2021-04-30 中铁第四勘察设计院集团有限公司 Elevator steel wire rope jumping monitoring system and method based on Internet of things
CN114715752A (en) * 2022-06-08 2022-07-08 凯尔菱电(山东)电梯有限公司 Abnormity detection method and system for elevator
CN114754824A (en) * 2022-06-16 2022-07-15 江苏邦润智能科技有限公司 Monitoring and early warning method and system for wire drawing machine
CN114803763A (en) * 2022-06-30 2022-07-29 锐创软件技术(启东)有限公司 Variable speed goods elevator abnormity detection method based on neural network
CN117237357A (en) * 2023-11-15 2023-12-15 上海杰臻电气技术有限公司 Machine vision-based steel wire rope online monitoring system and method

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103910267A (en) * 2012-12-30 2014-07-09 通力股份公司 Method and an arrangement in rope condition monitoring of an elevator
CN104114762A (en) * 2012-02-07 2014-10-22 奥的斯电梯公司 Wear detection for coated belt or rope
CN104220869A (en) * 2012-04-02 2014-12-17 奥的斯电梯公司 Calibration of wear detection system
CN105102362A (en) * 2013-03-15 2015-11-25 奥的斯电梯公司 System and method for monitoring wire ropes
CN206886553U (en) * 2017-06-22 2018-01-16 长安大学 A kind of fracture prior-warning device based on steel wire rope resistance variations
CN109230952A (en) * 2018-09-30 2019-01-18 哈尔滨工业大学(深圳) Elevator traction steel band tension and performance degradation monitoring method and system
CN109580728A (en) * 2017-09-29 2019-04-05 奥的斯电梯公司 Cable degradation
CN109928285A (en) * 2019-04-04 2019-06-25 普林志教育科技(厦门)有限公司 The online health forecast method and device of elevator composite steel band

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104114762A (en) * 2012-02-07 2014-10-22 奥的斯电梯公司 Wear detection for coated belt or rope
CN104220869A (en) * 2012-04-02 2014-12-17 奥的斯电梯公司 Calibration of wear detection system
CN103910267A (en) * 2012-12-30 2014-07-09 通力股份公司 Method and an arrangement in rope condition monitoring of an elevator
CN105102362A (en) * 2013-03-15 2015-11-25 奥的斯电梯公司 System and method for monitoring wire ropes
CN206886553U (en) * 2017-06-22 2018-01-16 长安大学 A kind of fracture prior-warning device based on steel wire rope resistance variations
CN109580728A (en) * 2017-09-29 2019-04-05 奥的斯电梯公司 Cable degradation
CN109230952A (en) * 2018-09-30 2019-01-18 哈尔滨工业大学(深圳) Elevator traction steel band tension and performance degradation monitoring method and system
CN109928285A (en) * 2019-04-04 2019-06-25 普林志教育科技(厦门)有限公司 The online health forecast method and device of elevator composite steel band

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112456271A (en) * 2020-12-14 2021-03-09 中铁第四勘察设计院集团有限公司 Real-time online encircling elevator steel wire rope distribution quadrant monitoring system and method
CN112723079A (en) * 2020-12-14 2021-04-30 中铁第四勘察设计院集团有限公司 Elevator steel wire rope jumping monitoring system and method based on Internet of things
CN112723079B (en) * 2020-12-14 2023-12-15 中铁第四勘察设计院集团有限公司 Elevator steel wire rope runout monitoring system and method based on Internet of things
CN112456271B (en) * 2020-12-14 2023-12-19 中铁第四勘察设计院集团有限公司 Real-time online encircling elevator steel wire rope distribution quadrant monitoring system and method
CN114715752A (en) * 2022-06-08 2022-07-08 凯尔菱电(山东)电梯有限公司 Abnormity detection method and system for elevator
CN114754824A (en) * 2022-06-16 2022-07-15 江苏邦润智能科技有限公司 Monitoring and early warning method and system for wire drawing machine
CN114803763A (en) * 2022-06-30 2022-07-29 锐创软件技术(启东)有限公司 Variable speed goods elevator abnormity detection method based on neural network
CN114803763B (en) * 2022-06-30 2022-09-09 锐创软件技术(启东)有限公司 Variable speed goods elevator abnormity detection method based on neural network
CN117237357A (en) * 2023-11-15 2023-12-15 上海杰臻电气技术有限公司 Machine vision-based steel wire rope online monitoring system and method
CN117237357B (en) * 2023-11-15 2024-01-30 上海杰臻电气技术有限公司 Machine vision-based steel wire rope online monitoring system and method

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