CN109928285A - The online health forecast method and device of elevator composite steel band - Google Patents
The online health forecast method and device of elevator composite steel band Download PDFInfo
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Abstract
The invention discloses a kind of online health forecast methods of elevator composite steel band, comprising: acquires the operating parameter of the composite steel band of elevator and constructs operating parameter collection；Composite steel band is segmented according to the installation parameter of elevator and military service building parameter；The corresponding loaded frequency of every section of composite steel band and load type are determined according to operating parameter collection；The resistance variations situation of wirerope is embedded using the degree of impairment and composite steel band of every section of composite steel band of fretting wear model prediction；The optimal health forecast result compared to operating parameter collection is determined using Minimal Error Principle；Export the health forecast result of composite steel band.According to the technical solution of the present invention, on-line automatic health monitoring and the safe early warning of composite steel band are realized, hardware cost is low, practical.
Description
Technical field
The present invention relates to elevator device technical field more particularly to a kind of online health forecast method of elevator composite steel band and
A kind of online health forecast device of elevator composite steel band.
Background technique
Elevator is the fixed type lifting equipment for serving certain floor in building, and vertical ladder therein is usually used in higher building
Layer, vertical ladder system generally include carriage, counterweight, driving device, control system and load bearing component.Load bearing component security intensity is
Guarantee the important indicator of elevator device safety, conventionally used wirerope is as load bearing component.A kind of other classes have recently been introduced
The load bearing component of type, an example are packaged in the composite steel band of the composition of a plurality of wirerope in polyurethane jacket.Using compound
Steel band has many advantages, such as energy saving, wear-resisting, low noise, is just used by more and more elevator devices.
The introducing of new-type band-like tensioning member just produces detection/monitoring technology demand to the new-type ribbon-shaped members.?
Tight component uses the polyurethane jacket of high abrasion, and which has limited the visual inspections or vision-based detection to component.A kind of mode is
Using the method for measurement tensioning member resistance, the intensity of band is determined.The use of the technology is based on the fact that steel wire tensioning structure
Cross-sectional area, the degree of fatigue of part are directly related with the resistance of the tensioning member.Therefore, the resistance for detecting tensioning member can mention
For the instruction of tensioning member health status.For example, " a kind of situation for monitoring elevator load bearing member that Otis proposes
Method and device thereof ", may be implemented the monitoring of wirerope resistance in composite steel band, but this method only gives measurement resistance
Method is not given by the method for the evaluating combined steel band health status of resistance.
The health status of wirerope is evaluated by the overall resistance of whole wirerope, complexity is, whole steel wire
The abrasion that is subject to of restricting is heterogeneous, that is to say, that the different location in rope capacity direction, abrasion suffered by wirerope are
Heterogeneous, the resistance variations of unit length are different.In running process of elevator, every section of wirerope institute is loaded
The frequency be different, it is related with Elevator Stop.And the variation of resistance has very big relationship with suffered fretting wear, it is micro-
The generation of dynamic abrasion is mostly derived from wirerope and is acted on by bending load.
Therefore, the health status that composite steel band is reflected by electric-resistivity method, needs a kind of effective method and apparatus, will measure
Overall resistance it is associated with the suffered bending load frequency, find out composite steel band be damaged most serious paragraph characterising parameter,
For predicting health status and the service life of composite steel band.
Summary of the invention
Aiming at the shortcomings existing in the above problems, the present invention provides a kind of online health forecasts of elevator composite steel band
Method and device constructs elevator steel by repeatedly monitoring operating parameter of the acquisition from elevator installation start time to current time
Band operating parameter collection, is segmented composite steel band in conjunction with the number of floor levels and layer height of elevator and its military service building, is based on resistance
Method predicts the health status of composite steel band, and the wirerope overall resistance measured is associated with the suffered bending load frequency, fortune
With the degree of impairment of every section of embedded wirerope in fretting wear model estimation composite steel band, the healthy shape of composite steel band is finally provided
Condition and life prediction as a result, and according to elevator steel band operating parameter collection constantly correct assessment parameter, realize composite steel band
On-line automatic health monitoring and safe early warning, hardware cost is low, practical.
To achieve the above object, the present invention provides a kind of online health forecast methods of elevator composite steel band, comprising: acquisition
The operating parameter of the composite steel band of elevator simultaneously constructs operating parameter collection；Joined according to the installation parameter of the elevator and military service building
It is several that the composite steel band is segmented；The corresponding loaded frequency of every section of composite steel band and load are determined according to the operating parameter collection
Lotus type；Wirerope is embedded using the degree of impairment of every section of composite steel band of fretting wear model prediction and the composite steel band
Resistance variations situation；The optimal health forecast result compared to the operating parameter collection is determined using Minimal Error Principle；It is defeated
The health forecast result of the composite steel band out.
In the above-mentioned technical solutions, it is preferable that the operating parameter of the composite steel band of the acquisition elevator specifically includes: with pre-
If the acquisition elevator installation and operation moment in period starts the operating parameter of the rear composite steel band, when the operating parameter includes current
Carve the resistance of the every wirerope in the composite steel band, the last time collects the elevator in the period at current time
Environment temperature in the elevator of elevator described in stop layers information, current time.
In the above-mentioned technical solutions, it is preferable that the installation parameter and military service building parameter pair according to the elevator
The composite steel band carries out segmentation and specifically includes: according to elevator model, the overall length of the composite steel band, the floor number of plies, story height
Degree, elevator mounting structure size are segmented the composite steel band of the elevator；The composite steel band corresponds to every layer of stop layers and is divided into 5
Section, segmented node is projected by the corresponding node of every layer of stop layers to be formed by whole nodes to whole composite steel band and is determined.
In the above-mentioned technical solutions, it is preferable that described to determine that every section of composite steel band is corresponding according to the operating parameter collection
Loaded frequency and load type specifically include: the loaded Frequency statistics method of the composite steel band are as follows: when the carriage of the elevator
+ l layers of kth is risen to by kth layer or drops to kth layer by+l layers of kth, then the corresponding loaded frequency of this section of composite steel band adds 1 to pass
Increase, wherein the load type include axial tensile loads, the composite steel band by movable pulley bear bending load, institute
State the bending load that composite steel band is born by traction sheave and the bending load that the composite steel band is born by carriage return pulley.
In the above-mentioned technical solutions, it is preferable that the damage using every section of composite steel band of fretting wear model prediction
The resistance variations situation that condition of the injury condition and the composite steel band embed wirerope specifically includes: calculating every section using fretting wear model
The damage of wirerope in composite steel band, for the calculation formula of the damage of jth time i-th section of wirerope of monitoring and evaluation are as follows:
The resistance variations of the embedded wirerope of the composite steel band at current time are predicted by damage model are as follows:
Wherein, njiFor corresponding i-th section of wirerope cut-off it is current add up loaded frequency, NjiFor corresponding i-th section of wirerope
The service life of jth time prediction, r (βj) it is coefficient relevant to load, numberical range is determined by experiment, R00For (20 DEG C) at room temperature
Not when damage loaded wirerope initial resistance, nseg be composite steel band segmentation total number of segment.
In the above-mentioned technical solutions, it is preferable that described to be determined using Minimal Error Principle compared to the operating parameter collection
Optimal health forecast result specifically include: relatively and determine and become from the 1st time to the resistance variations of jth time prediction and actual measurement resistance
The corresponding prediction result of difference mean square error minimum value of change is as optimal health forecast as a result, meeting mean square error minimum
Formula:
Wherein, Δ Rj0=Rj0-R00Resistance variations at room temperature are scaled to for jth time actual measurement.Rj0It is practical for jth time
Measurement is scaled to wirerope resistance at room temperature, conversion relation are as follows:Wherein, RjTIt is practical for jth time
The wirerope resistance of measurement, TjFor hoistway environment temperature, α is the temperature-coefficient of electrical resistance of wirerope.
In the above-mentioned technical solutions, it is preferable that the optimal health forecast result is to meet the mean square error minimum formula
When corresponding NjiAnd Dji, the damage status of the wirerope is maxiDji, residual intensity is (1-maxiDji) × 100%, it is remaining
Service life is RoLj=Nji-nji。
In the above-mentioned technical solutions, it is preferable that gamut traversal is carried out to predict the wirerope using traversal principle
Service life NjiWith load correlation coefficient r (βj)。
The present invention also proposes a kind of online health forecast device of elevator composite steel band, including parameter acquisition unit, health forecast
Device and result follower, the parameter acquisition unit include electrical resistance collection device, position sensor, temperature sensor, the resistance
Acquisition device is used to acquire the resistance of every embedded wirerope of the composite steel band, and the position sensor is described for acquiring
The stop layers information of elevator, the temperature sensor are used to acquire the environment temperature in the elevator of the elevator, and the health is pre-
Device is surveyed according to the collected parameter information of the parameter acquisition unit, determines the optimal health forecast knot for being directed to the composite steel band
Fruit；The result follower exports the optimal health forecast result, and in the residual intensity of the composite steel band lower than pre-
If alert when margin of safety.
In the above-mentioned technical solutions, it is preferable that the electrical resistance collection device acquires the wirerope according to predetermined period
Resistance, the temperature sensor acquire the environment temperature in the elevator according to predetermined period.
Compared with prior art, the invention has the benefit that
(1) it from the present invention can be installed from elevator, monitored automatically with certain monitoring cycle, predict composite steel band
Health status, woth no need to manpower intervention, automatic degree is high；
(2) present invention consider on composite steel band length direction different paragraphs the frequency loaded and loaded difference, have
Improve to effect the accuracy of prediction result；
(3) invention also contemplates that influence of the different hoistway environment temperatures to measurement result, introduces temperature adjustmemt, have more
Wide applicability；
(4) hardware cost of the present invention is low, practical.
Detailed description of the invention
Fig. 1 is the flow diagram of the online health forecast method of elevator composite steel band disclosed in an embodiment of the present invention；
Fig. 2 is the flow diagram of the online health forecast method of elevator composite steel band disclosed in an embodiment of the present invention；
Fig. 3 is the structural schematic diagram of elevator disclosed in an embodiment of the present invention；
Fig. 4 is the structural principle signal of the online health forecast device of elevator composite steel band disclosed in an embodiment of the present invention
Figure.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
The present invention is described in further detail with reference to the accompanying drawing:
As depicted in figs. 1 and 2, a kind of online health forecast method of the elevator composite steel band provided according to the present invention, comprising:
It acquires the operating parameter of the composite steel band of elevator and constructs operating parameter collection；Joined according to the installation parameter of elevator and military service building
Several pairs of composite steel bands are segmented；The corresponding loaded frequency of every section of composite steel band and load type are determined according to operating parameter collection；
The resistance variations situation of wirerope is embedded using the degree of impairment and composite steel band of every section of composite steel band of fretting wear model prediction；
The optimal health forecast result compared to operating parameter collection is determined using Minimal Error Principle；Export the health forecast of composite steel band
As a result.
In this embodiment, the online health forecast method of above-mentioned composite steel band, comprising the following steps:
(1) it acquires elevator steel band operating parameter: since the elevator installation and operation moment, being collected and recorded with certain period
Elevator steel band operating parameter collects current time including the resistance of every wirerope, last time in current time composite steel band
Elevator Stop information in this period, the environment temperature in current time elevator, construct elevator steel band operating parameter collection.
Wherein it is preferred to elevator selects strength test ladder, it was a sampling week with 7 days since the elevator installation and operation moment
Phase, every the operating parameter of elevator steel band of 7 days records, including the resistance value of every wirerope in steel band, elevator stops in 7 days
Layer information, current elevator well temperature, and temperature-compensating conversion is carried out to the resistance value measured, obtain repair corresponding in room temperature
Positive electricity resistance value constructs elevator composite steel band operating parameter collection.
(2) elevator composite steel band is segmented: according to elevator model, steel band overall length, the floor number of plies, story height, elevator installation
Structure size is segmented elevator steel band.
As shown in figure 3, the segmentation criteria of elevator composite steel band is that every section of steel band is subjected to different load.Every layer of stop layers can be with
It is divided into 5 sections, corresponding a, b, c, d, w.For elevator used in building structure of the floor number of plies for m, segmented node is stopped by every layer
The corresponding node of layer, which is projected, to be formed by whole nodes to whole composite steel band and is determined, total segments of whole steel band is nseg
=5 × m, corresponding every segment length are L={ L1,L2,……,Lnseg, total rope length are as follows: L=sum (Li)。
In the above-described embodiments, strength test ladder has 2 stop layers positions, elevator steel band can divide total number of segment nseg=5 ×
2, totally 10 sections, according to elevator installation dimension and Existing Architectural Structures size to composite steel band partitioning site, record every section of length
And overall length.It is denoted as L={ L1, L2 ... ..., L10 }, total band (rope) is long are as follows: L=sum (Li) (i=1,2 ..., 10).
(3) loaded frequency imports: the Elevator Stop information recorded according to elevator composite steel band operating parameter collection, after segmentation
Each section of steel band import corresponding load type and loaded frequency.
In the above-described embodiments, it is curved by movable pulley R1 receiving to be divided into axial tensile loads, composite steel band for load type
Bending of the bending load, composite steel band that Qu Zaihe, composite steel band are born by traction sheave R2 by carriage return pulley R3 receiving carries
Lotus and composite steel band pass through the bending load that carriage return pulley R4 is born.For each section of importing load type of steel band and loaded
Frequency, load type include axial tension, R1 bending, R2 bending, R3 bending, R4 bending, and the loaded frequency is imported by stop layers information,
The loaded frequency of jth time is the cumulative of front j times all (including jth time), specifically, when carriage rises to+l layers of kth by kth layer
Or kth layer is dropped to by+l layers of kth, the corresponding loaded frequency of curved rope section, which is taken turns, by above-mentioned R1, R2, R3, R4 adds 1 to pass
Increase.
(4) degree of impairment is predicted: using the damage of wirerope in each section of steel band of fretting wear model evaluation.
In the above-described embodiments, for six core composite steel bands, there are 6 Steel cords, need to every steel cable point
It does not predict.To i-th (i=1,2 ..., 10) section of wherein steel cable prediction, the damage of jth time monitoring and evaluation are as follows:
The steel band of current jth time prediction embeds predetermined electrical resistance variation of wirerope are as follows:
Wherein, njiFor corresponding i-th section of wirerope cut-off it is current add up loaded frequency, NjiFor corresponding i-th section of wirerope
The service life of jth time prediction, r (βj) it is coefficient relevant to load, numberical range is determined by experiment, R00For (20 DEG C) at room temperature
Not when damage loaded wirerope initial resistance.
(5) prediction result optimizing: in embodiment, in life parameter Nji, load index r (βj) possibility value range in
Traversal repeats above step (4), finds the principle of optimum prediction to meet from the 1st time to jth time, the resistance variations of prediction with
The difference mean square error of the resistance variations of actual measurement is minimum, that is, finds that group life parameter N for meeting following formulaji, load refers to
Number r (βj), as optimal prediction result.
Wherein, Δ Rj0=Rj0-R00Resistance variations at room temperature are scaled to for jth time actual measurement.Rj0It is practical for jth time
Measurement is scaled to wirerope resistance at room temperature, conversion relation are as follows:
Wherein, RjTFor the wirerope resistance of jth time actual measurement, TjFor hoistway environment temperature, α is the resistance of wirerope
Temperature coefficient.
(6) prediction result exports: corresponding with optimum prediction result, the wear condition of wirerope is with the damage at greatest wear
Wound value is label, is denoted as maxiDji, corresponding residual intensity is (1-maxiDji) × 100%, corresponding remaining life are RoLj
=Nji-nji.Above parameter as output as a result, and when residual intensity is lower than margin of safety, issue alarm.
In the above-described embodiments, with the online health forecast method of this elevator composite steel band, each time after the completion of monitoring all
An optimal prediction result can be obtained, is exported using current newest prediction result as final prediction result.
As shown in figure 4, the present invention also proposes a kind of online health forecast device of elevator composite steel band, including parameter acquisition
Device, health forecast device and result follower, parameter acquisition unit include electrical resistance collection device, position sensor, temperature sensor, electricity
Resistance acquisition device is used to acquire the resistance of every embedded wirerope of composite steel band, and position sensor is used to acquire the stop layers of elevator
Information, temperature sensor are used to acquire the environment temperature in the elevator of elevator, and health forecast device is acquired according to parameter acquisition unit
The parameter information arrived determines the optimal health forecast result for being directed to composite steel band；As a result follower is by optimal health forecast result
Output, and the alert when the residual intensity of composite steel band is lower than default margin of safety.
In the above embodiment, it is preferable that resistance of the electrical resistance collection device according to predetermined period acquisition wirerope, temperature pass
Sensor is according to the environment temperature in predetermined period acquisition elevator.
According to the online health forecast method and device of elevator composite steel band that above-described embodiment proposes, adopted by repeatedly monitoring
Collect the operating parameter from elevator installation start time to current time, construct elevator steel band operating parameter collection, in conjunction with elevator and its
The number of floor levels and layer height of military service building are segmented composite steel band, and the health status of composite steel band is predicted based on electric-resistivity method,
The wirerope overall resistance measured is associated with the suffered bending load frequency, composite steel band is estimated with fretting wear model
The degree of impairment of interior every section of embedded wirerope, finally provide composite steel band health status and life prediction as a result, and according to
Elevator steel band operating parameter collection constantly corrects assessment parameter, realizes that the on-line automatic health monitoring of composite steel band and safety are pre-
Alert, hardware cost is low, practical.
These are only the preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification,
Equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of online health forecast method of elevator composite steel band characterized by comprising
It acquires the operating parameter of the composite steel band of elevator and constructs operating parameter collection；
The composite steel band is segmented according to the installation parameter of the elevator and military service building parameter；
The corresponding loaded frequency of every section of composite steel band and load type are determined according to the operating parameter collection；
Wirerope is embedded using the degree of impairment of every section of composite steel band of fretting wear model prediction and the composite steel band
Resistance variations situation；
The optimal health forecast result compared to the operating parameter collection is determined using Minimal Error Principle；
Export the health forecast result of the composite steel band.
2. the online health forecast method of elevator composite steel band according to claim 1, which is characterized in that the acquisition elevator
The operating parameter of composite steel band specifically include:
Start the operating parameter of the rear composite steel band, the operating parameter packet with the predetermined period acquisition elevator installation and operation moment
Include the resistance of the every wirerope in composite steel band described in current time, the last time collects institute in the period at current time
State the environment temperature in the elevator of elevator described in the stop layers information of elevator, current time.
3. the online health forecast method of elevator composite steel band according to claim 1, which is characterized in that described according to
The installation parameter and military service building parameter of elevator carry out segmentation to the composite steel band and specifically include:
According to elevator model, the overall length of the composite steel band, the floor number of plies, story height, elevator mounting structure size to described
The composite steel band of elevator is segmented；
The composite steel band corresponds to every layer of stop layers and is divided into 5 sections, and segmented node is projected by the corresponding node of every layer of stop layers to whole institute
It states composite steel band and is formed by whole nodes and determined.
4. the online health forecast method of elevator composite steel band according to claim 1, which is characterized in that described according to
Operating parameter collection determines that the corresponding loaded frequency of every section of composite steel band and load type specifically include:
The loaded Frequency statistics method of the composite steel band are as follows: when the elevator carriage by kth layer rise to+l layers of kth or by
+ l layers of kth drop to kth layer, then the corresponding loaded frequency of this section of composite steel band adds 1 to be incremented by,
Wherein, the load type include axial tensile loads, the composite steel band by movable pulley bear bending load, institute
State the bending load that composite steel band is born by traction sheave and the bending load that the composite steel band is born by carriage return pulley.
5. the online health forecast method of elevator composite steel band according to claim 1, which is characterized in that described to utilize fine motion
Wear model predicts that the degree of impairment of every section of composite steel band and the composite steel band embed the resistance variations situation of wirerope
It specifically includes:
The damage that wirerope in every section of composite steel band is calculated using fretting wear model, for jth time i-th section of steel wire of monitoring and evaluation
The calculation formula of the damage of rope are as follows:
The resistance variations of the embedded wirerope of the composite steel band at current time are predicted by damage model are as follows:
Wherein, njiFor corresponding i-th section of wirerope cut-off it is current add up loaded frequency, NjiFor corresponding i-th section of wirerope jth time
The service life of prediction, r (βj) it is coefficient relevant to load, numberical range is determined by experiment, R00For (20 DEG C) at room temperature not by
The initial resistance of wirerope when load injury, nseg are total number of segment of composite steel band segmentation.
6. the online health forecast method of elevator composite steel band according to claim 1, which is characterized in that described to utilize error
Minimum principle determines that the optimal health forecast result compared to the operating parameter collection specifically includes:
Relatively and determine from the 1st time to the difference mean square error minimum value of the resistance variations of jth time prediction and actual measurement resistance variations
Corresponding prediction result is as optimal health forecast as a result, meeting mean square error minimum formula:
Wherein, Δ Rj0=Rj0-R00Resistance variations at room temperature are scaled to for jth time actual measurement.Rj0For jth time actual measurement
It is scaled to wirerope resistance at room temperature, conversion relation are as follows:
Wherein, RjTFor the wirerope resistance of jth time actual measurement, TjFor hoistway environment temperature, α is the resistance temperature of wirerope
Coefficient.
7. the online health forecast method of elevator composite steel band according to claim 6, which is characterized in that the optimal health
Prediction result is to meet corresponding N when the mean square error minimum formulajiAnd Dji, the damage status of the wirerope is maxiDji,
Residual intensity is (1-maxiDji) × 100%, remaining life RoLj=Nji-nji。
8. the online health forecast method of elevator composite steel band according to claim 5, which is characterized in that using traversal principle
Gamut traversal is carried out to predict the service life N of the wireropejiWith load correlation coefficient r (βj)。
9. a kind of online health forecast device of elevator composite steel band, which is characterized in that including parameter acquisition unit, health forecast device and
As a result follower,
The parameter acquisition unit includes electrical resistance collection device, position sensor, temperature sensor, and the electrical resistance collection device is used for
The resistance of every embedded wirerope of the composite steel band is acquired, the position sensor is used to acquire the stop layers letter of the elevator
Breath, the temperature sensor are used to acquire the environment temperature in the elevator of the elevator,
The health forecast device is determined for the composite steel band most according to the collected parameter information of the parameter acquisition unit
Excellent health forecast result；
The result follower exports the optimal health forecast result, and in the residual intensity of the composite steel band lower than pre-
If alert when margin of safety.
10. the online health forecast device of elevator composite steel band according to claim 9, which is characterized in that the resistance is adopted
Acquisition means acquire the resistance of the wirerope according to predetermined period, and the temperature sensor acquires the elevator according to predetermined period
Environment temperature in well.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111847169A (en) * | 2020-07-31 | 2020-10-30 | 河池学院 | Elevator traction steel wire rope state monitoring and early warning system and method based on algorithm model |
| WO2021105347A1 (en) * | 2019-11-29 | 2021-06-03 | Inventio Ag | Method for determining a wear state of components of a suspension means arrangement of an elevator system |
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