CN109557174B - Elevator traction steel wire rope residual life online prediction system and method - Google Patents
Elevator traction steel wire rope residual life online prediction system and method Download PDFInfo
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- G01N27/9046—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents by analysing electrical signals
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Abstract
The invention discloses an elevator traction steel wire rope residual life online prediction system and method, which comprises the following steps: the detection module comprises an oscillator and a detection device and is used for monitoring the elevator traction steel wire rope in operation in real time in an eddy current detection mode; the signal conditioning module is connected with the detection module and used for converting the monitored data into a detection signal; and the analysis and evaluation module is connected with the signal conditioning module and is used for comparing the collected detection signals with the information of different abrasion degrees and service lives of the elevator traction steel wire ropes pre-stored in the database, so that the service lives of the detected elevator traction steel wire ropes are predicted. The invention adopts the eddy current detection method to monitor whether the elevator dragging steel wire rope in operation has defects or not in real time, and predicts the residual service life of the detected steel wire rope by signal comparison, thereby providing effective information for timely repairing and replacing the elevator dragging steel wire rope and having important significance for the safe operation of the elevator.
Description
Technical Field
The invention belongs to the technical field of elevator nondestructive testing, and particularly relates to an elevator traction steel wire rope residual life online prediction system and method.
Background
With the rapid development of high-rise buildings in recent years, the number of elevators in society is increasingly demanded, and as one of main parts for ensuring the safety of the elevators, the elevator traction steel wire ropes are generally damaged by internal and external abrasion, wire breakage, fatigue, corrosion and the like after being used for a period of time, so that the stability of the performance of the elevators and the safety of users are threatened. Therefore, the hoisting rope is monitored in real time, and the damage condition of the steel wire rope is found in time, so that the residual service life of the steel wire rope is predicted, and the method is very important for timely replacement of the steel wire rope. However, at present, the detection of the traction steel wire rope is carried out manually in most cases, and the machine needs to be stopped, so that the detection time and the detection accuracy cannot be guaranteed.
Disclosure of Invention
Based on the defects of the prior art, the technical problem to be solved by the invention is to provide the system and the method for predicting the residual service life of the elevator traction steel wire rope on line, which can accurately detect the defects of the steel wire rope and predict the service life of the steel wire rope by combining the detection result, thereby taking corresponding measures in time.
In order to solve the technical problems, the invention is realized by the following technical scheme: the invention provides an elevator traction steel wire rope residual life online prediction system, which comprises:
the detection module comprises an oscillator and a detection device and is used for monitoring the elevator traction steel wire rope in operation in real time in an eddy current detection mode;
the signal conditioning module is connected with the detection module and used for converting the monitored data into a detection signal;
and the analysis and evaluation module is connected with the signal conditioning module and is used for comparing the collected detection signals with the information of different wear degrees and service lives of the elevator traction steel wire ropes pre-stored in the database, so that the service lives of the detected elevator traction steel wire ropes are predicted.
Further, the detection device comprises a fixed support, an insulating sleeve, a detection coil, a comparison coil and a steel wire rope fixed wheel;
the fixed support is fixed at an elevator shaft steel structure frame close to the traction sheave, and the insulating sleeve is fixed in the middle of the fixed support and is sleeved outside the elevator traction steel wire rope to be tested;
the comparison coil and the detection coil are respectively wound on the upper side and the lower side of the outer wall of the insulating sleeve, and the oscillator is connected to the comparison coil and the detection coil;
the steel wire rope fixing wheel is fixed on the inner wall of the insulating sleeve through a spring and is used for keeping the relative position of the detected part of the elevator traction steel wire rope and the insulating sleeve.
Further, the signal conditioning module comprises a bridge, an amplifier, a detector and a filter;
the input end of the bridge is connected with the output ends of the comparison coil and the detection coil and is used for converting the resistance change rates of the comparison coil and the detection coil into voltage output which is then supplied to the amplifier for amplification and then measurement;
the input end of the amplifier is connected with the output end of the bridge and is used for further amplifying the current signal;
the input end of the detector is connected with the output end of the amplifier and is used for taking a one-way envelope signal out of the high-frequency amplitude modulated wave;
the input end of the filter is connected with the output end of the detector and is used for filtering high-frequency carrier components, purifying low-frequency useful signals and eliminating interference signals.
Further, the analysis and evaluation module comprises an amplitude discriminator, a display and recording device and a data evaluation and life prediction device;
the input end of the amplitude discriminator is connected with the output end of the filter and is used for further filtering noise so as to obtain signals to be displayed and recorded;
the input end of the display and recording device is connected with the output end of the amplitude discriminator and is used for displaying the processed signals and recording the processed signals in real time;
the input end of the data evaluation and service life prediction device is connected with the output end of the display and recording device and is used for comparing the collected detection signals with information of different wear degrees and service lives of elevator traction steel wire ropes pre-stored in a database, so that the service life of the detected elevator traction steel wire rope is predicted.
Optionally, the middle of the insulating sleeve is of a semi-hollow fence type structure.
By last, can conveniently observe the inner structure of detection module, in case some parts appear damaging, can in time observe and change.
Optionally, the steel wire rope fixing wheel is arranged on the inner wall near the inlet and the outlet inside the insulating sleeve.
Therefore, the steel wire rope fixing wheel fixed in the mode can reduce the vibration of the elevator traction steel wire rope to be detected when the elevator traction steel wire rope passes through the detection device, and the detection accuracy is improved.
The invention also provides an online prediction method for the residual life of the elevator traction steel wire rope, which comprises the following steps:
s1, fixing a fixing support of the detection device on a steel structure frame of an elevator shaft through a bolt, enabling an elevator traction steel wire rope to pass through the inside of an insulating sleeve, and enabling the elevator traction steel wire rope to be in contact with a steel wire rope fixing wheel connected to the inner wall of the insulating sleeve through a spring;
s2, during detection, the oscillator generates alternating current to supply to a comparison coil and a detection coil, the comparison coil and the detection coil generate an alternating electromagnetic field, the alternating electromagnetic field acts on an elevator traction steel wire rope to be detected which passes through the comparison coil and the detection coil, so that the elevator traction steel wire rope generates eddy current magnetic field feedback under the action of the electromagnetic field, impedance is generated on the detection coil and the comparison coil, and an electric bridge converts the resistance change rate of the detection coil and the comparison coil into voltage to be output;
s3, amplifying the impedance change of the coil by using an amplifier, eliminating interference signals by using a detector and a filter during detection, and taking out required defect data;
s4, analyzing the amplitude of the data by using an amplitude discriminator, and displaying the related data by a display and recording device;
and S5, using the data evaluation and the life data of the elevator hoisting wire rope with different damage degrees stored in the prediction device to compare, thereby predicting the service life of the detected elevator hoisting wire rope.
Therefore, the invention adopts an eddy current detection mode, and utilizes the elevator traction steel wire rope to approach the coil with current in the process of moving up and down along with the elevator car, electromagnetic induction is generated between the alternating magnetic field established by the coil and the elevator traction steel wire rope, eddy current is generated in the elevator traction steel wire rope, and at the moment, a corresponding induction magnetic field is also generated in the elevator traction steel wire rope and influences the original magnetic field, thereby causing the change of coil voltage and impedance. When the elevator dragging steel wire rope has the defects of abrasion and the like, the strength and distribution of eddy current can be influenced, the change of coil voltage and impedance is caused, after the processing of an electric bridge, an amplifier, a detector, a filter and an amplitude discriminator, a signal is displayed and is automatically compared with the service life information of the steel wire rope with different abrasion degrees in a database, and therefore the service life of the elevator dragging steel wire rope to be tested is predicted. The invention adopts the eddy current detection method to monitor whether the elevator dragging steel wire rope in operation has defects or not in real time, and predicts the residual service life of the detected steel wire rope by signal comparison, thereby providing effective information for timely repairing and replacing the elevator dragging steel wire rope and having important significance for the safe operation of the elevator.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following detailed description is given in conjunction with the preferred embodiments, together with the accompanying drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments will be briefly described below.
FIG. 1 is a schematic diagram of the overall structure of an on-line residual life prediction system for an elevator traction wire rope according to the present invention;
FIG. 2 is a schematic view of a partial structure of a detection device of an on-line residual life prediction system for an elevator traction wire rope according to the present invention;
fig. 3 is a flow chart of the method for predicting the residual life of the elevator traction steel wire rope on line.
In the figure: 1-elevator hoistway steel structure frame, 2-fixed support, 3-bolt, 4-oscillator, 5-analysis and evaluation module, 6-signal conditioning module, 7-insulating sleeve, 8-detection coil, 9-comparison coil, 10-elevator traction steel wire rope, 11-steel wire rope fixed wheel, 12-spring, 13-electric bridge, 14-amplifier, 15-wave detector, 16-filter, 17-amplitude discriminator, 18-display and recording device, and 19-data evaluation and service life prediction device.
Detailed Description
Other aspects, features and advantages of the present invention will become apparent from the following detailed description, taken in conjunction with the accompanying drawings, which form a part of this specification, and which illustrate, by way of example, the principles of the invention. In the referenced drawings, the same or similar components in different drawings are denoted by the same reference numerals.
As shown in fig. 1-2, the invention adopts an eddy current detection method to monitor the elevator traction steel wire rope in operation in real time, and predicts the residual service life of the elevator traction steel wire rope through signal comparison. The on-line prediction system for the residual life of the elevator traction steel wire rope comprises a detection module, a signal conditioning module 6 and an analysis and evaluation module 5.
The detection module is used for monitoring the elevator traction steel wire rope in operation in real time in an eddy current detection mode, and comprises an oscillator 4 and a detection device, wherein the detection device comprises a fixed support 2, an insulating sleeve 7, a detection coil 8, a comparison coil 9 and a steel wire rope fixing wheel 11. Wherein fixed bolster 2 is fixed in 1 department of elevator well steel structure frame that is close the driving sheave, and fixed bolster 2 adopts PVC to mould the material firmly, insulating sleeve 7 fixes the intermediate position at fixed bolster 2, the cover is outside the elevator traction wire rope 10 that is surveyed simultaneously, and insulating sleeve 7 adopts the polyurethane material, insulating sleeve 7's centre is the fence formula structure of half fretwork, conveniently observes detection module's inner structure, in case some parts appear damaging, can in time observe and change. The comparison coil 9 and the detection coil 8 are respectively wound on the upper side and the lower side of the outer wall of the insulating sleeve 7, the oscillator 4 is connected to the comparison coil 9 and the detection coil 8, and the comparison coil 9 and the detection coil 8 are externally led out to the signal conditioning module 6. The steel wire rope fixing wheel 11 is fixed on the inner wall of the insulating sleeve 7 through a spring 12 and is responsible for keeping the relative position of the detected part of the elevator traction steel wire rope 10 and the insulating sleeve 7, wherein the steel wire rope fixing wheel 11 is made of polyurethane insulating materials, specifically, the steel wire rope fixing wheel 11 is arranged on the inner wall near an inlet and an outlet in the insulating sleeve 7, and the steel wire rope fixing wheel 11 fixed in such a way can reduce the vibration of the detected elevator traction steel wire rope 10 when the elevator traction steel wire rope passes through the detection device, and improve the detection accuracy. A detection coil in the detection module adopts a self-comparison type coil, and according to the characteristic that when the defect of the elevator traction steel wire rope passes through the coil, an opposite eddy current signal is generated, so that whether the steel wire rope has a defect or not is judged.
The signal conditioning module 6 of the present invention is used for converting the monitored data into a detection signal, and comprises a bridge 13, an amplifier 14, a detector 15 and a filter 16. The input end of the electric bridge 13 is connected with the output ends of the comparison coil 9 and the detection coil 8, and is responsible for converting the resistance change rate DeltaR/R of the comparison coil 9 and the detection coil 8 into voltage output, and then the voltage output is supplied to an amplifier 14 for amplification and measurement; the input end of the amplifier 14 is connected to the output end of the bridge 13 and is responsible for further amplifying the current signal; the input end of the detector 15 is connected to the output end of the amplifier 14 and is responsible for taking out a one-way envelope signal from the high-frequency amplitude modulated wave; the input end of the filter 16 is connected to the output end of the detector 15 and is responsible for filtering out high-frequency carrier components, purifying low-frequency useful signals and eliminating interference signals.
The analysis and evaluation module 5 of the invention comprises an amplitude discriminator 17, a display and recording device 18, a data evaluation and life prediction device 19, wherein the input of the amplitude discriminator 17 and the output of the filter 16 are connected by a relevant line, and are responsible for further filtering noise to obtain the signal to be displayed and recorded. The input end of the display and recording device 18 is connected with the output end of the amplitude discriminator 17 by a relevant line, and is responsible for displaying the processed signals and recording the processed signals in real time, the input end of the data evaluation and life prediction device 19 is connected with the output end of the display and recording device 18 by a relevant line, and is responsible for comparing the collected detection signals with the information of different wear degrees and service lives of the elevator traction steel wire ropes pre-stored in a database, so that the service lives of the detected elevator traction steel wire ropes are predicted.
As shown in fig. 3, the invention also provides an online prediction method of the residual life of the elevator traction steel wire rope, which comprises the following steps:
before detection, a fixing support 2 of a detection device is fixed on a steel structure 1 of an elevator shaft through a bolt 3, an elevator traction steel wire rope 10 passes through the inside of an insulating sleeve 7, and simultaneously the elevator traction steel wire rope is contacted with a steel wire rope fixing wheel 11 connected on the inner wall of the insulating sleeve 7 through a spring 12.
During detection, the oscillator 4 generates alternating current to supply to the comparison coil 9 and the detection coil 8, the comparison coil 9 and the detection coil 8 generate an alternating electromagnetic field, the alternating electromagnetic field acts on an elevator traction steel wire rope 10 to be detected which passes through the comparison coil 9 and the detection coil 8, so that the elevator traction steel wire rope 10 generates eddy current magnetic field feedback under the action of the electromagnetic field, impedance is generated on the detection coil 8 and the comparison coil 9, the bridge 13 converts the resistance change rate DeltaR/R of the detection coil 8 and the comparison coil 9 into voltage output, if the elevator traction steel wire rope passing through the comparison coil 9 and the detection coil 8 is abnormal, the change of the impedance can be less than 1 percent, in order to clearly detect the change of the impedance, the amplifier 14 is used for amplifying the impedance change of the coils, and the impedance change of the coils is the comprehensive reflection of the influence of various parameters, therefore, during detection, the wave detector 15 and the filter 16 are adopted to eliminate interference signals, required defect data are taken out, the amplitude discriminator 17 is used for carrying out amplitude analysis on the data, relevant data are displayed through the display and recording device 18, and meanwhile, the service life of the detected elevator traction steel wire rope 10 is predicted by comparing the service life data of the elevator traction steel wire rope 10 with different damage degrees stored in the data evaluation and prediction device 19.
The elevator traction steel wire rope residual life online prediction system mainly adopts an eddy current detection technology in nondestructive testing, can accurately detect the defects of the steel wire rope, and predicts the service life of the steel wire rope by combining the detection result, thereby taking corresponding measures in time. The system and the method for predicting the residual life of the elevator traction steel wire rope can monitor the condition of the elevator traction steel wire rope in real time in the working process of an elevator, can give an alarm prompt in time once the abnormal signal is found, and can automatically compare the abnormal signal with the data in a pre-stored elevator traction steel wire rope wear degree sample library, thereby predicting the residual life of the detected steel wire rope and providing effective information for repairing and replacing the traction steel wire rope.
While the foregoing is directed to the preferred embodiment of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Claims (4)
1. The utility model provides an elevator tows wire rope remaining life online prediction system which characterized in that includes:
the detection module comprises an oscillator (4) and a detection device and is used for monitoring the elevator traction steel wire rope in operation in real time in an eddy current detection mode; the detection device comprises a fixed support (2), an insulating sleeve (7), a detection coil (8), a comparison coil (9) and a steel wire rope fixed wheel (11);
the fixed support (2) is fixed at the position of an elevator shaft steel structure frame (1) close to a traction sheave, and the insulating sleeve (7) is fixed in the middle of the fixed support (2) and is sleeved outside a tested elevator traction steel wire rope (10);
the comparison coil (9) and the detection coil (8) are respectively wound on the upper side and the lower side of the outer wall of the insulating sleeve (7), and the oscillator (4) is connected to the comparison coil (9) and the detection coil (8);
the steel wire rope fixing wheel (11) is fixed on the inner wall of the insulating sleeve (7) through a spring (12) and is used for keeping the relative position of the detected part of the elevator traction steel wire rope (10) and the insulating sleeve (7);
the signal conditioning module (6) is connected with the detection module and is used for converting the monitored data into a detection signal; the signal conditioning module (6) comprises a bridge (13), an amplifier (14), a detector (15) and a filter (16);
the input end of the electric bridge (13) is connected with the output ends of the comparison coil (9) and the detection coil (8) and is used for converting the resistance change rates of the comparison coil (9) and the detection coil (8) into voltage output which is then supplied to the amplifier (14) for amplification and measurement;
the input end of the amplifier (14) is connected with the output end of the electric bridge (13) and is used for further amplifying the current signal;
the input end of the detector (15) is connected with the output end of the amplifier (14) and is used for taking a unidirectional envelope signal out of the high-frequency amplitude modulated wave;
the input end of the filter (16) is connected with the output end of the detector (15) and is used for filtering high-frequency carrier components, purifying low-frequency useful signals and eliminating interference signals;
the analysis and evaluation module (5) is connected with the signal conditioning module (6) and is used for comparing the collected detection signals with information of different abrasion degrees and service lives of elevator traction steel wire ropes pre-stored in a database so as to predict the service life of the detected elevator traction steel wire rope;
the method for predicting the residual life of the elevator traction steel wire rope on line comprises the following steps:
s1, fixing a fixing support (2) of the detection device on a steel structure frame (1) of an elevator hoistway through a bolt (3), and enabling an elevator traction steel wire rope (10) to pass through the inside of an insulating sleeve (7) and simultaneously to be in contact with a steel wire rope fixing wheel (11) connected to the inner wall of the insulating sleeve (7) through a spring (12);
s2, during detection, an oscillator (4) generates alternating current to supply to a comparison coil (9) and a detection coil (8), the comparison coil (9) and the detection coil (8) generate an alternating electromagnetic field, the alternating electromagnetic field acts on an elevator traction steel wire rope (10) to be detected which passes through the comparison coil (9) and the detection coil (8), the elevator traction steel wire rope (10) generates eddy current magnetic field feedback under the action of the electromagnetic field, so that impedance is generated on the detection coil (8) and the comparison coil (9), and an electric bridge (13) converts the resistance change rate of the detection coil (8) and the comparison coil (9) into voltage output;
s3, amplifying the impedance change of the coil by using an amplifier (14), eliminating an interference signal by using a detector (15) and a filter (16) during detection, and taking out required defect data;
s4, analyzing the amplitude of the data by using an amplitude discriminator (17), and displaying the related data by a display and recording device (18);
and S5, predicting the service life of the elevator hoisting rope (10) to be detected by comparing the service life data of the elevator hoisting rope (10) with different damage degrees stored in the data evaluation and prediction device (19).
2. The elevator traction wire rope remaining life online prediction system according to claim 1, wherein the analysis and evaluation module (5) comprises an amplitude discriminator (17), a display and recording device (18), and a data evaluation and life prediction device (19);
the input end of the amplitude discriminator (17) is connected with the output end of the filter (16) and is used for further filtering noise so as to obtain signals to be displayed and recorded;
the input end of the display and recording device (18) is connected with the output end of the amplitude discriminator (17) and is used for displaying the processed signals and recording the processed signals in real time;
the input end of the data evaluation and service life prediction device (19) is connected with the output end of the display and recording device (18) and is used for comparing the collected detection signals with the information of different abrasion degrees and service lives of the elevator traction steel wire ropes pre-stored in the database so as to predict the service life of the detected elevator traction steel wire rope.
3. The on-line prediction system for the residual life of the elevator traction steel wire rope according to claim 1, wherein the middle of the insulating sleeve (7) is of a semi-hollow fence type structure.
4. The elevator traction wire rope remaining life online prediction system according to claim 1, wherein the wire rope fixing pulley (11) is provided at an inner wall near an entrance and an exit inside the insulation sleeve (7).
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811512242.3A CN109557174B (en) | 2018-12-11 | 2018-12-11 | Elevator traction steel wire rope residual life online prediction system and method |
| PCT/CN2019/121688 WO2020119470A1 (en) | 2018-12-11 | 2019-11-28 | Online prediction system and method for remaining service life of elevator traction steel wire rope |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811512242.3A CN109557174B (en) | 2018-12-11 | 2018-12-11 | Elevator traction steel wire rope residual life online prediction system and method |
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| CN109557174B true CN109557174B (en) | 2021-08-20 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109557174B (en) * | 2018-12-11 | 2021-08-20 | 山东科技大学 | Elevator traction steel wire rope residual life online prediction system and method |
| CN113086808B (en) * | 2021-04-30 | 2022-05-03 | 天津市滨海新区检验检测中心 | Elevator safety monitoring mechanism and system |
| CN113406151A (en) * | 2021-06-18 | 2021-09-17 | 秦皇岛开发区前景光电技术有限公司 | Steel strip broken wire detection method and system |
| CN113804728A (en) * | 2021-09-16 | 2021-12-17 | 金华好哥信息技术有限公司 | Steel wire rope detection system, steel wire rope detection method and clothes airing machine |
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| CN1882493A (en) * | 2003-11-21 | 2006-12-20 | 东芝电梯株式会社 | Wire rope flaw detector for elevator |
| CN105929022A (en) * | 2016-04-18 | 2016-09-07 | 山东科技大学 | Detection apparatus and detection method for nondestructive damage evaluation of wire ropes by pulse eddy current |
| CN205720097U (en) * | 2016-02-25 | 2016-11-23 | 天津高盛钢丝绳有限公司 | A kind of steel wire rope nondestructive inspection system |
| CN108333253A (en) * | 2018-01-11 | 2018-07-27 | 新疆维吾尔自治区特种设备检验研究院 | A kind of Array eddy-current probe and detection method for steel rope fault defects detection |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11230946A (en) * | 1998-02-10 | 1999-08-27 | Hitachi Building Systems Co Ltd | Magnetic flaw-detecting device of wire rope |
| CN109557174B (en) * | 2018-12-11 | 2021-08-20 | 山东科技大学 | Elevator traction steel wire rope residual life online prediction system and method |
-
2018
- 2018-12-11 CN CN201811512242.3A patent/CN109557174B/en active Active
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- 2019-11-28 WO PCT/CN2019/121688 patent/WO2020119470A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1882493A (en) * | 2003-11-21 | 2006-12-20 | 东芝电梯株式会社 | Wire rope flaw detector for elevator |
| CN205720097U (en) * | 2016-02-25 | 2016-11-23 | 天津高盛钢丝绳有限公司 | A kind of steel wire rope nondestructive inspection system |
| CN105929022A (en) * | 2016-04-18 | 2016-09-07 | 山东科技大学 | Detection apparatus and detection method for nondestructive damage evaluation of wire ropes by pulse eddy current |
| CN108333253A (en) * | 2018-01-11 | 2018-07-27 | 新疆维吾尔自治区特种设备检验研究院 | A kind of Array eddy-current probe and detection method for steel rope fault defects detection |
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| CN109557174A (en) | 2019-04-02 |
| WO2020119470A1 (en) | 2020-06-18 |
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