Elevator monitoring device, elevator monitoring method, elevator monitoring program, and recording medium

Abstract

The objective of the present invention is to provide an elevator monitoring device, an elevator monitoring method, and an elevator monitoring program that are capable of more accurately predicting the future amount of wear of a plurality of sheave grooves. [Solution] The elevator monitoring device 20 has a wear prediction unit 22. The wear prediction unit 22 calculates a wear prediction value using a wear prediction formula. The wear prediction value is a prediction value of future wear that will occur in a set period in multiple sheave grooves. The wear prediction formula receives as input the tensions of the car side portions and the counterweight side portions of the multiple ropes, the amount of slippage of the multiple ropes, and the material hardness of the sheaves.

Description

[Technical field]

[0001] The present disclosure relates to an elevator monitoring device, an elevator monitoring method, an elevator monitoring program, and a recording medium. [Background technology]

[0002] In a conventional elevator wear amount measuring device, an estimated value of the amount of wear in the sheave grooves is calculated from the amount of rotation of the sheave that occurs while the car travels a reference distance (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2011-195253 A Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional elevator wear amount measuring devices as described above estimate the current amount of wear in the sheave grooves, but are unable to predict the future amount of wear in the sheave grooves.

[0005] The present disclosure has been made to solve the above-mentioned problems, and aims to provide an elevator monitoring device, an elevator monitoring method, an elevator monitoring program, and a recording medium that are capable of more accurately predicting the future amount of wear of multiple sheave grooves. [Means for solving the problem]

[0006] The elevator monitoring device according to the present disclosure is equipped with a wear prediction unit that calculates a wear amount prediction value, which is a prediction value of the future wear amount that will occur in multiple sheave grooves over a set period, using a wear prediction equation that takes as input the tension of the car side portions and the tension of the counterweight side portions of the multiple ropes that suspend the car and counterweight, the amount of slippage of the multiple ropes, and the material hardness of the sheaves. In addition, the elevator monitoring method according to the present disclosure includes a wear prediction step of calculating a wear prediction value, which is a prediction value of the future wear amount that will occur in the multiple sheave grooves during a set period, using a wear prediction formula having as input the tension of the car side portion and the tension of the counterweight side portion of the multiple ropes suspending the car and counterweight, the amount of slippage of the multiple ropes, and the material hardness of the sheaves. Effect of the Invention

[0007] According to the present disclosure, future wear amounts of multiple sheave grooves can be predicted more accurately. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a schematic configuration diagram showing an elevator system according to a first embodiment. [Diagram 2] FIG. 2 is an explanatory diagram showing tensions acting on each rope in FIG. [Diagram 3] FIG. 3 is a perspective view showing the drive sheave of FIG. 2. [Figure 4] FIG. 4 is a cross-sectional view showing a first example of the sheave groove of FIG. 3. [Diagram 5] FIG. 4 is a cross-sectional view showing a second example of the sheave groove of FIG. [Figure 6] FIG. 2 is a block diagram showing a control system of the elevator system of FIG. 1. [Figure 7] 7 is a flowchart showing a wear prediction process performed by the elevator monitoring device of FIG. 6. [Figure 8] 3 is an explanatory diagram showing an example of a calculation result of a predicted wear amount value in a sheave groove into which the first rope of FIG. 2 is inserted. FIG. [Figure 9] 4 is an explanatory diagram showing an example of a calculation result of a predicted wear amount value in a sheave groove into which the second rope of FIG. 2 is inserted. FIG. [Figure 10] FIG. 11 is an explanatory diagram showing an example of a calculation result of a wear amount prediction value according to the second embodiment. [Figure 11] FIG. 11 is a block diagram showing a control system of the elevator system according to the embodiment 3. [Figure 12] FIG. 11 is a block diagram showing a control system of the elevator system according to the fourth embodiment. [Figure 13] FIG. 13 is a block diagram showing a control system of the elevator system according to the fifth embodiment. [Figure 14] FIG. 23 is a block diagram showing a control system of the elevator system according to the sixth embodiment. [Figure 15] FIG. 1 is an explanatory diagram showing an equivalent model of a rope passing over a pulley. [Figure 16] FIG. 16 is an explanatory diagram showing the equivalent model in FIG. 15 replaced with a model in a one-dimensional coordinate system. [Figure 17] 15 is a flowchart showing a wear prediction process performed by the elevator monitoring device of FIG. 14. [Figure 18] FIG. 23 is an explanatory diagram for explaining a method for calculating a predicted wear amount value in the seventh embodiment. [Figure 19] 13 is a flowchart showing a wear prediction process performed by the elevator monitoring device of embodiment 7. [Figure 20] 20 is a flowchart showing a wear prediction process performed by the elevator monitoring device of embodiment 8. [Figure 21] FIG. 16 is an explanatory diagram showing the equivalent model in FIG. 15 divided into a winding side portion and a payout side portion. [Figure 22] FIG. 2 is an explanatory diagram showing a model of the elevator in FIG. 1. [Figure 23] 1 is a graph showing the relationship between the tension of two ropes and the cage position when the depths of the two sheave grooves are equal. [Figure 24] 13 is a graph showing the relationship between the tension of two ropes and the cage position when there is a 0.2 mm difference in depth between the two sheave grooves. [Diagram 25] 1 is a graph showing the relationship between the calculated tension of two ropes and the cage position when there is a difference of 0.7 mm in the depth of the two sheave grooves, compared with multiple actual measured values. [Figure 26] 13 is a flowchart showing a wear prediction process performed by the elevator monitoring device of the modified example of embodiment 8. [Figure 27]FIG. 13 is a schematic configuration diagram showing an elevator system according to a ninth embodiment. [Figure 28] FIG. 2 is an explanatory diagram illustrating a relationship between a car, a drive sheave, and a plurality of ropes. [Figure 29] FIG. 29 is an explanatory diagram showing a state in which the car of FIG. 28 approaches the drive sheave. [Diagram 30] FIG. 29 is a cross-sectional view showing an example of a worn state of each sheave groove in the drive sheave of FIG. 28. [Diagram 31] FIG. 2 is a configuration diagram showing a first example of a processing circuit for realizing each function of the elevator monitoring device according to the first to tenth embodiments. [Diagram 32] FIG. 2 is a configuration diagram showing a second example of the processing circuit for realizing each function of the elevator monitoring device according to the first to tenth embodiments. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, embodiments will be described with reference to the drawings. Embodiment 1 1 is a schematic configuration diagram showing an elevator system according to embodiment 1. In the figure, the elevator system includes an elevator device 10, an elevator monitoring device 20, and a maintenance device 30.

[0010] The elevator system 10 includes a car 1, a counterweight 2, a hoist 3, a deflector pulley 4, a plurality of ropes 5, and an elevator control device 11. In FIG. 1, only one rope 5 is shown.

[0011] The hoist 3 has a hoist body 6 and a drive sheave 7. The hoist body 6 has a hoist motor (not shown) and a hoist brake (not shown). The hoist motor rotates the drive sheave 7. The hoist brake keeps the drive sheave 7 stationary. In addition, the hoist brake brakes the rotation of the drive sheave 7.

[0012] The multiple ropes 5 are wound around the drive sheave 7 and the deflector pulley 4. The car 1 is connected to one end of the multiple ropes 5. The counterweight 2 is connected to the other end of the multiple ropes 5.

[0013] The car 1 and the counterweight 2 are suspended by a plurality of ropes 5. The car 1 and the counterweight 2 are raised and lowered by rotating a drive sheave 7. The elevator system 10 of the first embodiment is a 1:1 roping type elevator system.

[0014] The elevator control device 11 controls the operation of the car 1 by controlling the hoisting machine 3.

[0015] A first tension measuring device 12 is provided at the end of the plurality of ropes 5 on the car 1 side. A second tension measuring device 13 is provided at the end of the plurality of ropes 5 on the counterweight 2 side. As the first tension measuring device 12 and the second tension measuring device 13, for example, a load cell can be used.

[0016] Incidentally, an accelerometer attached to the rope 5 may be used as the first tension measuring device 12 and the second tension measuring device 13. In this case, the frequency of the string vibration of the rope 5 is measured by the accelerometer. Then, tension information is obtained by converting the frequency into tension. The accelerometer may be attached to the rope 5 only during maintenance and inspection work, or may be attached to the rope 5 all the time.

[0017] The hoisting machine 3 is provided with a rotation sensor 14. The rotation sensor 14 generates a signal corresponding to the rotation of the drive sheave 7. As the rotation sensor 14, for example, an encoder is used.

[0018] The elevator monitoring device 20 monitors the status of the elevator equipment 10. In addition, the elevator monitoring device 20 is capable of communicating with the elevator control device 11. In this way, the elevator monitoring device 20 obtains various information relating to the status of the elevator equipment 10 from the elevator control device 11. In addition, a signal from the rotation sensor 14 is input to the elevator monitoring device 20 via the elevator control device 11.

[0019] The maintenance device 30 is a terminal carried by a maintenance worker during maintenance and inspection work. The maintenance worker can obtain information on the elevator device 10 that is the object of maintenance and inspection from the maintenance device 30. As the maintenance device 30, for example, a notebook computer, a tablet, or a smartphone can be used.

[0020] The maintenance device 30 is capable of communicating with the elevator monitoring device 20. In addition, a signal from the first tension measuring device 12 and a signal from the second tension measuring device 13 are input to the maintenance device 30.

[0021] Fig. 2 is an explanatory diagram showing tension acting on each rope 5 in Fig. 1. In Fig. 2, for simplicity, two ropes 5 are shown, but the number of ropes 5 may be three or more.

[0022] Hereinafter, the portion of each rope 5 on the car 1 side relative to the drive sheave 7 will be referred to as the car-side portion. Also, the portion of each rope 5 on the counterweight 2 side relative to the drive sheave 7 will be referred to as the counterweight-side portion. Also, one of the two ropes 5 will be referred to as the first rope 5a, and the other will be referred to as the second rope 5b.

[0023] The tension Tc1 of the cage side portion of the first rope 5a, the tension Tw1 of the counterweight side portion of the first rope 5a, the tension Tc2 of the cage side portion of the second rope 5b, and the tension Tw2 of the counterweight side portion of the second rope 5b are all different.

[0024] Normally, when the car 1 is empty, the weight of the counterweight 2 is greater than the weight of the car 1. Also, when the car 1 is fully loaded with passengers, the weight of the car 1 is greater than the weight of the counterweight 2.

[0025] Therefore, when the car 1 is empty, the relationship (Tc1 + Tc2) < (Tw1 + Tw2) holds. Also, when the car 1 is fully loaded with passengers, the relationship (Tc1 + Tc2) > (Tw1 + Tw2) holds.

[0026] When tension acts on each rope 5, each rope 5 undergoes elongation corresponding to the magnitude of the tension. For example, under the tension condition of Tc1 < Tc2, the relationship (the elongation amount of the car-side portion of the first rope 5a) < (the elongation amount of the car-side portion of the second rope 5b) holds.

[0027] When the drive sheave 7 rotates in the upward direction of the car 1, the car-side portion of the first rope 5a is wound up, and the counterweight-side portion of the first rope 5a is paid out. At this time, the elongation amount of the car-side portion of the first rope 5a and the elongation amount of the counterweight-side portion of the first rope 5a are different from each other.

[0028] Therefore, the first rope 5a is guided by the drive sheave 7 while slightly slipping on the drive sheave 7 by the difference in the elongation amounts between the car-side portion and the counterweight-side portion. Such a small amount of slip on the drive sheave 7 is referred to as the creep amount. And the value of the creep amount increases as the difference between the tension of the car-side portion and the tension of the counterweight-side portion becomes larger.

[0029] Figure 3 is a perspective view showing the drive sheave 7 of Figure 2. Although omitted in Figure 2, a plurality of sheave grooves 8 are provided on the outer peripheral surface of the drive sheave 7. Each rope 5 is inserted into the corresponding sheave groove 8. In Figure 3, the second rope 5b is omitted.

[0030] Figure 4 is a cross-sectional view showing a first example of the sheave groove 8 of Figure 3. In the first example, the cross-section of the bottom surface of the sheave groove 8 is arc-shaped.

[0031] Fig. 5 is a cross-sectional view showing a second example of the sheave groove 8 of Fig. 3. In the second example, an undercut groove is provided in the bottom surface of the sheave groove 8.

[0032] A surface pressure corresponding to the magnitude of the tension acting on the corresponding rope 5 acts on the bottom surface of each sheave groove 8. For this reason, as the car 1 operates, the bottom surface of each sheave groove 8 wears over time, and the depth of each sheave groove 8 increases. In Figures 4 and 5, the initial position of the bottom surface of the sheave groove 8 is indicated by a two-dot chain line.

[0033] The wear of the bottom surface of the sheave groove 8 progresses faster as the surface pressure acting on the bottom surface increases. Also, the wear of the bottom surface of the sheave groove 8 progresses faster as the amount of slippage of the rope 5 in the sheave groove 8 increases. In other words, the greater the difference between the tension of the rope 5 on the cage side and the tension of the counterweight side, the greater the creep amount and the faster the wear progresses.

[0034] The cross-sectional shape of the sheave groove 8 is not limited to the first and second examples, and may be V-shaped.

[0035] Fig. 6 is a block diagram showing a control system of the elevator system in Fig. 1. The elevator control device 11 has, as functional blocks, an operation control unit 11a and a main transmission / reception unit 11b. The operation control unit 11a controls the operation of the car 1. The main transmission / reception unit 11b transmits and receives signals to and from devices external to the elevator control device 11.

[0036] Furthermore, the elevator control device 11 stores a history of the running pattern of the car 1 up to the present.

[0037] The maintenance device 30 has, as functional blocks, a maintenance transmitting / receiving unit 31 and a maintenance display unit 32. The maintenance transmitting / receiving unit 31 transmits and receives signals to and from devices external to the maintenance device 30.

[0038] The maintenance device 30 is provided with a maintenance display (not shown). The maintenance display unit 32 displays information required for maintenance work of the elevator device 10 on the maintenance display.

[0039] The elevator monitoring device 20 has, as functional blocks, a monitoring transmission / reception unit 21, a wear prediction unit 22, and a monitoring display unit 23. The monitoring transmission / reception unit 21 transmits and receives signals to and from devices external to the elevator monitoring device 20.

[0040] The elevator monitoring device 20 is provided with a monitoring display (not shown). The monitoring display unit 23 displays information required for monitoring the elevator device 10 on the monitoring display.

[0041] The wear prediction unit 22 calculates a plurality of predicted wear values ​​using a wear prediction formula. The plurality of predicted wear values ​​are predicted values ​​of future wear amounts occurring in a set period in each of the plurality of sheave grooves 8. The wear prediction formula receives as input the tensions of the cage side portions and the counterweight side portions of the plurality of ropes 5, the amount of slippage of the plurality of ropes 5, and the material hardness of the drive sheave 7.

[0042] Furthermore, the wear prediction unit 22 outputs the multiple wear amount predicted values ​​to the monitoring display unit 23. The monitoring display unit 23 displays the multiple wear amount predicted values ​​on a monitoring display. Furthermore, the wear prediction unit 22 outputs the multiple wear amount predicted values ​​to the maintenance device 30 via the monitoring transmission / reception unit 21. The maintenance display unit 32 displays the multiple wear amount predicted values ​​on a maintenance display.

[0043] As an example of a method for displaying a plurality of predicted wear amounts, a two-dimensional cross-sectional shape of the sheave groove 8 as shown in FIG. 4 or FIG. 5 may be displayed on a maintenance display.

[0044] The wear prediction unit 22 has a storage unit 24. The storage unit 24 stores a wear prediction formula and a plurality of predicted wear amounts.

[0045] A specific method for calculating a plurality of wear amount prediction values ​​will be described below. The wear prediction formula is the following relational formula.

[0046] Wear amount = (f (slip amount, tension, sheave hardness) / lifting stroke) x reference running distance

[0047] The wear prediction unit 22 acquires the average value of the tension of the car side portion of each of the multiple ropes 5 from the first tension measuring device 12 via the maintenance device 30. The average value of the tension of the car side portion of each rope 5 is the average value of the tension fluctuation of the car side portion for each rope 5 when the car 1 runs from the lowest floor to the top floor.

[0048] Furthermore, the wear prediction unit 22 obtains the average value of the tension of the counterweight side portion of each of the multiple ropes 5 from the second tension measuring device 13 via the maintenance device 30. The average value of the tension of the counterweight side portion of each rope 5 is the average value of the tension fluctuation of the counterweight side portion for each rope 5 when the car 1 runs from the lowest floor to the highest floor.

[0049] Therefore, each average value includes tension fluctuations due to car 1 movement.

[0050] During maintenance and inspection, a maintenance worker measures the average tension of the cage side portion and the average tension of the counterweight side portion of each of the multiple ropes 5, and inputs them into the maintenance device 30. The average tension value may be automatically transmitted to the maintenance device 30 without the intervention of the maintenance worker.

[0051] The calculation of the average value may be performed by the first tension measuring device 12 and the second tension measuring device 13, or may be performed by the maintenance device 30. Furthermore, the wear prediction unit 22 may calculate the average value of the tension based on the tensions acquired from the first tension measuring device 12 and the second tension measuring device 13.

[0052] In addition, the wear prediction unit 22 acquires data on the amount of rotation of the driving sheave 7 and data on the traveling distance of the car 1 from the elevator control device 11. The data on the amount of rotation is a measured value of the amount of rotation of the driving sheave 7 up to the present.

[0053] The wear prediction unit 22 calculates the amount of slippage of the rope 5 from the difference between the latest amount of rotation of the drive sheave 7 and the travel distance of the car 1.

[0054] Incidentally, as the latest rotation amount of the drive sheave 7 and the travel distance of the car 1, values ​​obtained by making the car 1 travel back and forth during maintenance and inspection may be used.

[0055] The sheave hardness is the material hardness of the drive sheave 7, and is input and stored in advance in the elevator monitoring device 20.

[0056] The wear prediction unit 22 inputs the average value of the tension in the cage side portion of each rope 5, the average value of the tension in the counterweight side portion of each rope 5, the amount of slippage of the rope 5, and the sheave hardness into a wear prediction formula, and calculates multiple wear amount prediction values.

[0057] In the wear prediction formula, f (slippage, tension, sheave hardness) is an estimate of the amount of wear that will occur when the car 1 travels once over a distance equivalent to the distance from the bottom floor to the top floor in the current state. Also, f (slippage, tension, sheave hardness) is a relational expression described as a function of the amount of slippage of the rope 5, tension, and sheave hardness.

[0058] For example, the following relational expression can be used for f (slip amount, tension, sheave hardness).

[0059] f(slip amount, tension, sheave hardness) = α × (P(T)L) / H

[0060] Here, P(T) is the surface pressure acting on the sheave groove 8, and is a function of the tension T. L is the amount of slippage that occurs when the car 1 travels once over a distance equivalent to the distance from the lowest floor to the top floor. H is the sheave hardness. α is a proportionality constant.

[0061] Furthermore, the reference running distance is the average running distance that the car 1 runs within a set period. The wear prediction unit 22 estimates the amount of wear that will occur within the set period using a wear prediction formula. The set period is the interval between regular maintenance inspections, for example, three months. However, the set period is not limited to the interval between maintenance inspections, and can be set to any period.

[0062] The tension substituted into the right side of the wear prediction equation is used to calculate the surface pressure applied to the sheave groove 8. Therefore, the tension of the cage side portion is calculated by adding the data measured by the first tension measuring device 12 to the rope weight corresponding to the length of the cage side portion. Also, the tension of the counterweight side portion is calculated by adding the data measured by the second tension measuring device 13 to the rope weight corresponding to the length of the counterweight side portion.

[0063] The multiple wear amount prediction values ​​calculated by the wear prediction unit 22 are transmitted to the maintenance device 30 and displayed on the maintenance display. A maintenance worker checks the multiple wear amount prediction values ​​displayed on the maintenance display, and if a wear amount exceeding a standard is predicted, plans a regrooving operation to make the depth of each sheave groove 8 uniform before the standard is exceeded.

[0064] This allows measures to be taken before problems due to wear of the sheave grooves 8 occur.

[0065] In addition, the diameter of each rope 5 also decreases over time as the elevator system operates. When the diameter of each rope 5 decreases, the effective diameter of the drive sheave 7 decreases, similar to the wear of the sheave grooves 8. In order to distinguish between the amount of wear of the sheave grooves 8 and the reduction in the diameter of the ropes 5, it is sufficient to subtract the amount of reduction in the diameter of the ropes 5 measured during maintenance inspection from the estimated amount of wear of the sheave grooves 8.

[0066] Fig. 7 is a flowchart showing the wear prediction process by the elevator monitoring device 20 of Fig. 6. When the wear prediction process is started, the elevator monitoring device 20 acquires data to be input into the wear prediction formula in step S101.

[0067] Next, in step S102, the elevator monitoring device 20 calculates a plurality of wear amount predicted values ​​using the wear prediction equation. After that, in step S103, the elevator monitoring device 20 outputs the plurality of wear amount predicted values ​​to the maintenance device 30. In addition, the elevator monitoring device 20 displays the plurality of wear amount predicted values ​​on a monitoring display.

[0068] Fig. 8 is an explanatory diagram showing an example of the calculation results of the predicted wear amount in the sheave groove 8 into which the first rope 5a in Fig. 2 is inserted. The graph on the left of Fig. 8 shows the measurement results of the tension in the car side portion and the measurement results of the tension in the counterweight side portion. The graph on the right of Fig. 8 is a graph showing the current wear amount in the sheave groove 8 into which the first rope 5a is inserted and the future wear amount after the car 1 has run for a set period of time.

[0069] Fig. 9 is an explanatory diagram showing an example of the calculation results of the predicted wear amount in the sheave groove 8 into which the second rope 5b in Fig. 2 is inserted. The graph on the left of Fig. 9 shows the measurement results of the tension in the car side portion and the measurement results of the tension in the counterweight side portion. The graph on the right of Fig. 9 is a graph showing the current wear amount in the sheave groove 8 into which the second rope 5b is inserted and the future wear amount after the car 1 has run for a set period of time.

[0070] In the examples of FIGS. 8 and 9, (the average value of Tc1 and Tw1)>(the average value of Tc2 and Tw2).

[0071] 8 and 9, |Tc1-Tw1|>|Tc2-Tw2|. That is, the first rope 5a has a larger surface pressure and a larger amount of creep than the second rope 5b. The larger the amount of creep, the faster the wear of the sheave groove 8 progresses. Therefore, the slope of the amount of wear in the graph on the right of FIG. 8 is larger than the slope of the amount of wear in the graph on the right of FIG. 9.

[0072] As shown in FIGS. 8 and 9, the progress of the wear amount for each sheave groove 8 can be predicted.

[0073] The elevator monitoring method of the first embodiment includes a wear prediction step, which is a step of calculating a wear amount prediction value, which is a prediction value of the future wear amount generated in a plurality of sheave grooves 8 during a set period, by using a wear prediction formula.

[0074] In such an elevator monitoring device 20 and elevator monitoring method, a wear amount prediction value is calculated using a wear prediction formula that takes as input the tension of the car side portion and the tension of the counterweight side portion, the amount of slippage of the multiple ropes 5, and the material hardness of the drive sheave 7. This makes it possible to more accurately predict the future amount of wear of the multiple sheave grooves 8.

[0075] Furthermore, the wear prediction unit 22 calculates the surface pressure acting on the multiple sheave grooves 8 using the tensions of the multiple ropes 5 in the wear prediction equation. The wear prediction unit 22 also calculates the amount of creep as the amount of slippage from the difference between the amount of rotation of the drive sheave 7 and the traveling distance of the car 1. This makes it possible to more accurately predict the future amounts of wear on the multiple sheave grooves 8.

[0076] Furthermore, the wear prediction unit 22 acquires an average value of the tension of the cage side portion and an average value of the tension of the counterweight side portion of each of the plurality of ropes 5. Then, the wear prediction unit 22 calculates the surface pressure acting on each of the plurality of sheave grooves 8, and calculates a predicted wear amount value for each of the plurality of sheave grooves 8.

[0077] This makes it possible to more accurately predict the future amount of wear in each of the multiple sheave grooves 8. This allows a maintenance worker to refer to the multiple predicted wear amounts and loosen the tension of the ropes 5 hanging on the sheave grooves 8 where wear is predicted to progress quickly, thereby suppressing imbalance in the progress of wear.

[0078] Furthermore, each average value acquired by the wear prediction unit 22 includes a tension fluctuation due to the movement of the car 1. Therefore, the future amount of wear in each of the plurality of sheave grooves 8 can be predicted more accurately.

[0079] The elevator monitoring program of the first embodiment is a program that causes a computer to execute the above-mentioned elevator monitoring method.

[0080] Moreover, the program is generally stored in a readable format in a storage medium as a recording medium, for example, the memory 202 in Fig. 32. Then, the processing described in the program read from the storage medium is executed by a computer. The recording medium of the first embodiment is a computer-readable recording medium having recorded thereon an elevator status monitoring program that causes a computer to execute the above-mentioned status monitoring method.

[0081] Embodiment 2 Next, an elevator system according to embodiment 2 will be described. The configuration of the elevator system according to embodiment 2 is similar to that shown in Fig. 1. Moreover, the control system of the elevator system according to embodiment 2 is similar to that shown in Fig. 6.

[0082] However, the wear prediction unit 22 of embodiment 2 obtains the average value of the average tensions of all the cage side portions of the multiple ropes 5 and the average value of the average tensions of all the counterweight side portions of the multiple ropes 5 as the tensions of the multiple ropes 5 input into the wear prediction formula.

[0083] Fig. 10 is an explanatory diagram showing an example of the calculation result of the wear amount prediction value according to the embodiment 2. The graph on the left of Fig. 10 shows the measurement result of the average tension of all the cage side parts and the measurement result of the average tension of all the counterweight side parts.

[0084] The average tension is the average value of the tension fluctuations of all ropes 5. a1 in Fig. 10 is the average value of the average tension obtained by averaging the tension fluctuations of all car side parts. a2 in Fig. 10 is the average value of the average tension obtained by averaging the tension fluctuations of all counterweight side parts.

[0085] The graph on the right of Fig. 10 is a graph showing the current average amount of wear in all the sheave grooves 8 and the future average amount of wear after the car 1 has run for a set period of time. The average amount of wear is the average value of the amounts of wear in each of the multiple sheave grooves 8.

[0086] Again, each average value includes tension fluctuations due to car 1 movement.

[0087] Other configurations and monitoring methods in the second embodiment are similar to those in the first embodiment.

[0088] This configuration also makes it possible to more accurately predict the future wear amounts of the multiple sheave grooves 8. Furthermore, by using the average value of the average tension, processing can be simplified.

[0089] The elevator monitoring program of the second embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the second embodiment. Moreover, the recording medium of the second embodiment is a computer-readable recording medium on which the elevator monitoring program of the second embodiment is recorded.

[0090] Embodiment 3 Next, Fig. 11 is a block diagram showing a control system of an elevator system according to embodiment 3. In embodiment 3, tension measurement data is transmitted from the first tension measuring device 12 and the second tension measuring device 13 to the elevator control device 11. The elevator control device 11 transmits the tension measurement data to the elevator monitoring device 20 in response to a request from the elevator monitoring device 20 or automatically.

[0091] The elevator monitoring device 20 is installed, for example, in a maintenance center separated from the elevator device 10.

[0092] Other configurations and monitoring methods in the third embodiment are similar to those in the first or second embodiment.

[0093] With such a configuration, the future wear amounts of the plurality of sheave grooves 8 can also be predicted more accurately.

[0094] The elevator monitoring program of the third embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the third embodiment. Moreover, the recording medium of the third embodiment is a computer-readable recording medium having the elevator monitoring program of the third embodiment recorded therein.

[0095] Embodiment 4 12 is a block diagram showing a control system of an elevator system according to embodiment 4. In embodiment 4, tension measurement data is directly transmitted from the first tension measuring device 12 and the second tension measuring device 13 to the elevator monitoring device 20 in response to a request from the elevator monitoring device 20 or automatically.

[0096] Other configurations and monitoring methods in the fourth embodiment are similar to those in the first or second embodiment.

[0097] With such a configuration, the future wear amounts of the plurality of sheave grooves 8 can also be predicted more accurately.

[0098] The elevator monitoring program of the fourth embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the fourth embodiment. Moreover, the recording medium of the fourth embodiment is a computer-readable recording medium having the elevator monitoring program of the fourth embodiment recorded therein.

[0099] In addition, in the first to fourth embodiments, either the first tension measuring device 12 or the second tension measuring device 13 may be omitted. For example, when the second tension measuring device 13 is omitted, the tension of the counterweight side portion can be calculated from the design value of the weight of the counterweight 2.

[0100] Embodiment 5. Next, Fig. 13 is a block diagram showing a control system of an elevator system according to embodiment 5. In embodiment 5, neither the first tension measuring device 12 nor the second tension measuring device 13 is used. Instead, storage unit 24 pre-stores the average value of the average tensions of all the car side portions and the average value of the average tensions of all the counterweight side portions in embodiment 2.

[0101] The average tension of all car side sections is calculated by the formula: car mass / number of ropes. The average tension of all counterweight side sections is calculated by the formula: counterweight mass / number of ropes.

[0102] The wear prediction unit 22 inputs each average value stored in advance into a wear prediction formula to calculate a plurality of predicted wear amounts.

[0103] Other configurations and monitoring methods in the fifth embodiment are similar to those in the second embodiment.

[0104] This configuration also makes it possible to more accurately predict the future wear amounts of the multiple sheave grooves 8. In addition, since each average value is stored in advance, the configuration can be simplified and the effort required for tension measurement can be reduced.

[0105] The elevator monitoring program of the fifth embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the fifth embodiment. Moreover, the recording medium of the fifth embodiment is a computer-readable recording medium having the elevator monitoring program of the fifth embodiment recorded therein.

[0106] In the first to fifth embodiments, the signal from the rotation sensor 14 may be transmitted directly to the elevator monitoring device 20 without going through the elevator control device 11.

[0107] Embodiment 6 Next, Fig. 14 is a block diagram showing a control system of an elevator system according to embodiment 6. In embodiment 6, the rotation sensor 14 in embodiment 1 is omitted.

[0108] The wear prediction unit 22 stores two types of slippage calculation formulas, i.e., a first slippage calculation formula and a second slippage calculation formula. The storage unit 24 stores the first slippage calculation formula and the second slippage calculation formula. Both of the two types of slippage calculation formulas are formulas for obtaining an estimated slippage value. The estimated slippage value is an estimated value of the slippage of the multiple ropes 5.

[0109] The wear prediction unit 22 uses the slippage amount estimated value as the slippage amount of the multiple ropes 5 to be input to the wear prediction formula.

[0110] In addition, the wear prediction unit 22 determines which of the two slippage calculation formulas to select depending on whether the ratio of the tension in the cage side portion to the tension in the counterweight side portion exceeds the limit traction ratio Γ.

[0111] When the ratio of the tension in the car side portion to the tension in the counterweight side portion does not exceed the limit traction ratio Γ, the following first slippage calculation formula is selected.

[0112]

number

[0113] Here, let us consider the simplest model in which one rope is wound around one pulley. Figure 15 is an explanatory diagram showing an equivalent model of a rope passing over a pulley. Figure 16 is an explanatory diagram showing the equivalent model of Figure 15 replaced with a model of a one-dimensional coordinate system.

[0114] A rope model 51 is wound around a pulley model 50. The pulley model 50 rotates counterclockwise in the figure. The movement direction of the rope model 51 is determined according to the rotation direction of the pulley model 50. In particular, in a model of the rope model 51 in a one-dimensional coordinate system shown in FIG. 16, the winding side portion and the unwinding side portion of the rope model 51 move in the same direction according to the rotation direction of the pulley model 50.

[0115] In the equivalent model, the rope model 51 is composed of three parts, a winding side part, a letting-out side part, and a part that moves integrally with the pulley model 50, as shown in Figures 15 and 16. More precisely, the part that moves integrally with the pulley model 50 is a part that is on the pulley model 50 and can move integrally with the pulley model 50.

[0116] In the following description, the subscript i is added to variables related to the winding side portion of the rope model 51, indicating that the variables are input side codes. The winding side portion is the portion of the rope model 51 that is upstream of the pulley model 50 in the moving direction of the rope model 51.

[0117] Moreover, the subscript o is added to the variable related to the payout side portion of the rope model 51, signifying that it is a code on the output side. The payout side portion of the rope model 51 is a portion of the rope model 51 that is downstream of the pulley model 50 in the movement direction of the rope model 51.

[0118] When the rope model 51 is wound up by a small amount Δx due to a small rotation of the pulley model 50, the amount Δx of winding is expressed as the sum of the free rope length ΔLi and the rope stretch amount Δui. The free rope length ΔLi is the length when no tension is applied.

[0119] That is, the winding amount Δx corresponds to the rope displacement amount when tension is applied, and is the sum of the rope elongation amount due to tension and the rope free length ΔLi, which is the rope displacement amount when tension is not applied. As shown in Figure 7, the rope displacement amounts when tension is not applied for the winding side part, the unwinding side part, and the part that moves integrally with the pulley are all the same free rope length ΔLi.

[0120] Δx=ΔLi+Δui (1.1)

[0121] The rope elongation Δui in the winding side portion is calculated from the tension Ti in the winding side portion. On the other hand, since the tension in the unwinding side portion is To, the rope elongation Δuo in the unwinding side portion is different from the rope elongation Δui in the winding side portion.

[0122] Therefore, the creep amount Δcr, which is the minute amount of slippage of the rope model 51 on the pulley model 50, is the rope elongation difference Δuo-Δui with respect to the rope free length ΔLi.

[0123] Δcr=Δuo-Δui

[0124] The amount of creep when car 1 travels from the lowest floor to the highest floor is found by integrating the amount of creep Δcr from 0 over the length of the ascent / descent stroke TR.

[0125] On the other hand, when the ratio of the tension in the car side portion to the tension in the counterweight side portion exceeds the limit traction ratio Γ, the following second slippage calculation formula is selected.

[0126] Slippage estimate = (Tw1(x)-ΓTc1(x)) / (kw(x)+Γkc(x))

[0127] In the first rope 5a in Fig. 2, when the ratio of the tension of the car side portion to the tension of the counterweight side portion exceeds the limit traction ratio Γ, the slippage of the first rope 5a on the drive sheave 7 is calculated by the second slippage calculation formula. Note that kc is the stiffness of the car side portion of the first rope 5a, and kw is the stiffness of the counterweight side portion of the first rope 5a.

[0128] When calculating an estimated slippage value for the second rope 5b in FIG. 2, Tc2 and Tw2 may be substituted into the tension term of the second slippage calculation formula.

[0129] The amount of slippage that occurs when the limit traction ratio Γ is exceeded is greater than the amount of creep that occurs when the limit traction ratio Γ is not exceeded.

[0130] Fig. 17 is a flowchart showing the wear prediction process by the elevator monitoring device 20 of Fig. 14. When the wear prediction process is started, the elevator monitoring device 20 acquires necessary data in step S201.

[0131] Next, in step S202, the elevator monitoring device 20 determines whether the tension ratio is equal to or less than the limit traction ratio Γ. If the tension ratio is equal to or less than the limit traction ratio Γ, that is, if the tension ratio does not exceed the limit traction ratio Γ, the elevator monitoring device 20 selects the first slippage calculation formula in step S203.

[0132] If the tension ratio is not equal to or less than the limit traction ratio Γ, that is, if the tension ratio exceeds the limit traction ratio Γ, the elevator monitoring device 20 selects the second slippage calculation formula in step S204.

[0133] After that, in step S205, the elevator monitoring device 20 calculates a slippage estimated value using the first slippage calculation formula or the second slippage calculation formula. Then, in step S206, the elevator monitoring device 20 calculates a plurality of wear amount predicted values ​​using the wear prediction formula.

[0134] After that, in step S207, the elevator monitoring device 20 outputs the multiple wear amount predicted values ​​to the maintenance device 30. In addition, the elevator monitoring device 20 displays the multiple wear amount predicted values ​​on a monitoring display.

[0135] Other configurations and monitoring methods in the sixth embodiment are similar to those in the first or second embodiment.

[0136] With such a configuration and monitoring method, the future amount of wear of the multiple sheave grooves 8 can also be predicted more accurately.

[0137] Furthermore, the wear prediction unit 22 uses, as the amount of slippage, an estimated slippage value calculated using a slippage calculation formula, so that the future amounts of wear of the plurality of sheave grooves 8 can be predicted more accurately.

[0138] In addition, the wear prediction unit 22 determines whether to select the first slippage calculation formula or the second slippage calculation formula depending on whether the ratio of the tension of the car side portion to the tension of the counterweight side portion exceeds the limit traction ratio. Therefore, even if the plurality of ropes 5 slips significantly due to the tension ratio exceeding the limit traction ratio Γ, the future wear of the plurality of sheave grooves 8 can be predicted more accurately.

[0139] The elevator monitoring program of the sixth embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the sixth embodiment. Moreover, the recording medium of the sixth embodiment is a computer-readable recording medium having the elevator monitoring program of the sixth embodiment recorded therein.

[0140] Embodiment 7 Next, an elevator system according to embodiment 7 will be described. The configuration of the elevator system according to embodiment 7 is similar to that shown in Fig. 1. Moreover, the control system of the elevator system according to embodiment 7 is similar to that shown in Fig. 6.

[0141] In the seventh embodiment, the first tension measuring device 12 continuously measures the tension at each moment in the cage side portion of each of the plurality of ropes 5. Also, the second tension measuring device 13 continuously measures the tension at each moment in the counterweight side portion of each of the plurality of ropes 5.

[0142] The elevator control device 11 stores information on the load in the car obtained from a weighing device (not shown). The elevator control device 11 also stores history data on the car travel distance, the car stopped position, and the load in the car from the start of use of the elevator device 10 to the present.

[0143] The wear prediction unit 22 inputs the momentary tension data into a wear prediction formula to calculate an instantaneous wear amount value for each of the multiple sheave grooves 8. In addition, the wear prediction unit 22 accumulates each instantaneous wear amount value to calculate a predicted wear amount value for each sheave groove 8.

[0144] In addition, the wear prediction unit 22 updates the parameters of the wear prediction formula using past state quantities. The past state quantities include past tension data, past rotation amount of the drive sheave 7, past travel amount of the car 1, past wear amount, and past load amount in the car.

[0145] In this manner, the wear prediction equation is adjusted for each elevator device 10 by using past data to update the constants included in the wear prediction equation so as to match the wear gradient of the actual measured value.

[0146] Fig. 18 is an explanatory diagram for explaining a method for calculating a predicted wear amount in the seventh embodiment. Fig. 18 shows a method for calculating a predicted wear amount of the sheave groove 8 corresponding to the first rope 5a in Fig. 2.

[0147] Fig. 18(a) shows the measured tension of the first rope 5a. When the car 1 is located at position P1, the tension of the car side portion is Tca1 and the tension of the counterweight side portion is Twa1. When the car 1 is located at position P2, the tension of the car side portion is Tca2 and the tension of the counterweight side portion is Twa2.

[0148] In this manner, it is assumed that the tension varies depending on the cage position, and the surface pressure acting on the sheave groove 8 varies depending on the cage position.

[0149] For example, when car 1 is located at position P1, the surface pressure is small, and the instantaneous value of the amount of wear is shown by the straight line E1 in Fig. 18(b). Also, when car 1 is located at position P2, the surface pressure is larger than when car 1 is located at position P1, and the instantaneous value of the amount of wear is shown by the straight line E2 in Fig. 18(b).

[0150] Then, as shown in FIG. 18(c), E3, which is the slope of the accumulated wear amount, is output from the accumulation of such instantaneous wear amount values.

[0151] In the seventh embodiment, the amount of wear that is expected if the trend of the gradient E3 from the past to the present continues into the future is calculated as the predicted wear amount value.

[0152] 19 is a flowchart showing the wear prediction process by the elevator monitoring device 20 of the seventh embodiment. When the wear prediction process is started, the elevator monitoring device 20 acquires the latest data in step S301. The latest data includes the latest tension data, the latest rotation amount of the driving sheave 7, and the latest travel distance of the car 1.

[0153] Next, in step S302, the elevator monitoring device 20 calculates an instantaneous value of the amount of wear by the wear prediction formula.

[0154] After that, in step S303, the elevator monitoring device 20 accumulates the wear amount instantaneous values ​​to estimate the wear amount. Also, the elevator monitoring device 20 updates the parameters of the wear prediction formula based on the past state quantities. Also, the elevator monitoring device 20 calculates the amount of change in the wear amount from data including the past history.

[0155] After that, in step S304, the elevator monitoring device 20 calculates a plurality of future wear amount predicted values ​​for the set period. Then, in step S305, the elevator monitoring device 20 outputs the plurality of wear amount predicted values ​​to the maintenance device 30. In addition, the elevator monitoring device 20 displays the plurality of wear amount predicted values ​​on a monitoring display.

[0156] Other configurations and monitoring methods in the seventh embodiment are similar to those in the first or second embodiment.

[0157] With such a configuration and monitoring method, the future amount of wear of the multiple sheave grooves 8 can also be predicted more accurately.

[0158] Furthermore, the wear prediction unit 22 calculates an instantaneous wear amount value, and accumulates the instantaneous wear amount values ​​to calculate a predicted wear amount value, so that the future wear amounts of the plurality of sheave grooves 8 can be predicted more accurately.

[0159] In addition, the wear prediction unit 22 updates the parameters of the wear prediction formula based on the past state quantities. Therefore, the wear prediction formula can be optimized for each elevator device 10, and the future wear amounts of the multiple sheave grooves 8 can be predicted more accurately.

[0160] The elevator monitoring program of the seventh embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the seventh embodiment. Moreover, the recording medium of the seventh embodiment is a computer-readable recording medium having the elevator monitoring program of the seventh embodiment recorded therein.

[0161] In the seventh embodiment, the slippage estimated value calculated by the slippage calculation formula shown in the sixth embodiment may be used as the slippage to be input to the wear prediction formula. In this case, the slippage calculation formula may be updated based on the past state quantity.

[0162] Embodiment 8 Next, an elevator system according to an eighth embodiment will be described. The configuration of the elevator system according to the eighth embodiment is similar to that shown in FIG. 1. Moreover, the control system of the elevator system according to the eighth embodiment is similar to that shown in FIG.

[0163] In the eighth embodiment, the first tension measuring device 12 continuously measures the tension at each moment in the cage side portion of each of the plurality of ropes 5. The second tension measuring device 13 continuously measures the tension at each moment in the counterweight side portion of each of the plurality of ropes 5.

[0164] The measurement results by the first tension measuring device 12 and the second tension measuring device 13 are sent to the elevator monitoring device 20 via the maintenance device 30.

[0165] A tension model, which will be described later, is stored in the wear prediction unit 22. That is, the storage unit 24 stores the tension model. The wear prediction unit 22 uses tension analysis values ​​as the tension of the car side portion and the tension of the counterweight side portion. The tension analysis values ​​are calculated using the tension model.

[0166] The wear prediction unit 22 inputs into the tension model the measured values ​​by the first tension measuring device 12 and the second tension measuring device 13, and the instantaneous wear amount value calculated in the same manner as in embodiment 7. As a result, the wear prediction unit 22 calculates, as a tension analysis value, an analysis value of the tension fluctuation in the car side portion and the counterweight side portion when the car 1 travels back and forth between the bottom floor and the top floor.

[0167] 20 is a flowchart showing the wear prediction process by the elevator monitoring device 20 of the eighth embodiment. When the wear prediction process is started, the elevator monitoring device 20 acquires the latest data in step S401. The latest data includes the latest tension data, the latest rotation amount of the driving sheave 7, and the latest travel distance of the car 1.

[0168] Next, in step S402, the elevator monitoring device 20 calculates an instantaneous value of the amount of wear by the wear prediction formula.

[0169] After that, in step S403, the elevator monitoring device 20 accumulates the wear amount instantaneous values ​​to estimate the wear amount. Also, the elevator monitoring device 20 updates the parameters of the wear prediction formula based on the past state quantities.

[0170] Next, in step S404, the elevator monitoring device 20 determines whether the amount of wear for a designated period has been calculated.

[0171] If the amount of wear for the designated period has not been calculated, the elevator monitoring device 20 adds one step time to the period Δt in step S405. Then, the elevator monitoring device 20 calculates a tension analysis value using the tension model in step S406.

[0172] After that, in step S407, the elevator monitoring device 20 determines whether the tension ratio is equal to or less than the limit traction ratio Γ. If the tension ratio is equal to or less than the limit traction ratio Γ, that is, if the tension ratio does not exceed the limit traction ratio Γ, the elevator monitoring device 20 selects the first slippage calculation formula in step S408.

[0173] If the tension ratio is not equal to or less than the limit traction ratio Γ, that is, if the tension ratio exceeds the limit traction ratio Γ, the elevator monitoring device 20 selects the second slippage calculation formula in step S409.

[0174] After that, in step S410, the elevator monitoring device 20 calculates a slippage estimated value using the first slippage calculation formula or the second slippage calculation formula, and returns to the process of step S403.

[0175] In the process of step S404, when the wear amount for the designated period has been calculated, in step S411, the elevator monitoring device 20 outputs a plurality of wear amount predicted values ​​to the maintenance device 30. In addition, the elevator monitoring device 20 displays a plurality of wear amount predicted values ​​on the monitoring display.

[0176] In this way, the instantaneous wear amount values ​​of the sheave grooves 8 are calculated for a pre-specified period, and the accumulated values ​​of the instantaneous wear amount values ​​are displayed on the maintenance display of the maintenance device 30 as predicted wear amounts of each sheave groove 8.

[0177] Other configurations and monitoring methods in the eighth embodiment are similar to those in the seventh embodiment.

[0178] With such a configuration and monitoring method, the future amount of wear of the multiple sheave grooves 8 can also be predicted more accurately.

[0179] Furthermore, the wear prediction unit 22 uses tension analysis values ​​as the tension of the cage side portion and the tension of the counterweight side portion, which allows the future wear amount of the plurality of sheave grooves 8 to be predicted more accurately.

[0180] The elevator monitoring program of the eighth embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the eighth embodiment. Moreover, the recording medium of the eighth embodiment is a computer-readable recording medium having the elevator monitoring program of the eighth embodiment recorded therein.

[0181] The following describes the tension model used in the eighth embodiment. The tension model is a model consisting of a plurality of equations of motion, in which the car side portion and the counterweight side portion are each modeled as a spring.

[0182] Figure 21 is an explanatory diagram showing the equivalent model of Figure 15 divided into a winding side portion and a supplying side portion. In Figure 21, the winding side portion and the supplying side portion are modeled as independent springs. This makes it possible to consider the balance condition of the force with respect to the spring force, i.e., the tension, determined by the difference in displacement between both ends of each spring.

[0183] In Fig. 21, yi indicates the displacement of the upper end of the winding side part, and yo indicates the displacement of the upper end of the unwinding side part. The relational expression for the winding side part when stationary, i.e., before winding, is given by the following equation.

[0184] Ti=ki(yi-xi)=(EA / Li)(0-x'i) (1.3)

[0185] Here, ki is the rope stiffness of the winding side portion, yi is the displacement of the upper end of the winding side portion, xi is the displacement of the lower end of the winding side portion, Li is the length of the winding side portion, E is the Young's modulus of the rope model 51, and A is the cross-sectional area of ​​the cross section perpendicular to the longitudinal direction of the rope model 51.

[0186] Also, x'i is the initial elongation of the lower end of the winding side section, which is a negative value. In this case, the coordinate system is defined such that the upward displacement is positive. The rope stiffness ki of the winding side section is a function of Young's modulus E, cross-sectional area A, and length Li of the winding side section.

[0187] Since the winding side portion is wound around the pulley model 50 while being subjected to a tension Ti, the following relational expression is obtained.

[0188] Ti = (EA / ΔLi)Δui (1.4)

[0189] When the take-up side portion is wound up by an infinitesimal amount Δx on the pulley model 50, the bottom end of the take-up side portion rises by Δx, regardless of the rope stiffness, as shown in Figure 16. Therefore, the balance of forces after the rope has been wound up by Δx is given by the following equation.

[0190] Ti=(EA / (Li-ΔLi))(yi-xi) =(EA / (Li-ΔLi)){yi-(x'i+Δx)} (1.5)

[0191] The tension Ti of the winding side portion is calculated from the displacement difference yi-xi between the upper and lower ends of the winding side portion. From this equation, the relational equation that the displacement yi of the upper end of the winding side portion must satisfy is obtained.

[0192] yi=(Ti / EA)(Li-ΔLi)+x'i+Δx (1.6)

[0193] By rearranging the above equation using equations (1.1), (1.3), and (1.4), we obtain the following equation.

[0194] yi=(Ti / EA)(Li-ΔLi)-(Ti / EA)Li+ΔLi+Δui =-(Ti / EA)ΔLi+ΔLi+Δui =-Δui+ΔLi+Δui=ΔLi (1.7)

[0195] Therefore, the displacement yi of the upper end of the winding side part during minute winding is not the winding amount Δx, i.e., ΔLi + Δui, but needs to be the rope free length ΔLi of the winding amount Δx. As a result, the displacement xi of the lower end of the winding side part becomes the winding amount Δx.

[0196] Next, consider the behavior of the two winding sections to which different tensions are applied. In an actual elevator, the lower ends of the two winding sections are connected to car 1 or counterweight 2, and the amount of displacement is the same for both. For this reason, the lower end of the winding section to which tension Ti1, which is smaller than tension Ti2, is applied is pulled up more, causing slack and decreasing tension. Meanwhile, the lower end of the winding section to which tension Ti2 is applied is pulled down, increasing tension.

[0197] In the model used in this study, the amount of lift at the upper ends of the two winding parts is not a uniform Δx, but is different from each other, being the free rope lengths ΔLi1 and ΔLi2 on the pulley model 50 according to the tension. By correcting this amount of lift, the amount of displacement at the lower ends of the two winding parts is both Δx.

[0198] Next, the feed-side portion will be described. From Fig. 21, the relational expression for the feed-side portion when stationary is as follows:

[0199] To=ko(yo-xo)=(EA / Lo)(0-x'o) (1.8)

[0200] Here, ko is the rope stiffness of the reeling side portion, yo is the displacement of the upper end of the reeling side portion, xo is the displacement of the lower end of the reeling side portion, Lo is the length of the reeling side portion, E is the Young's modulus of rope model 51, and A is the cross-sectional area of ​​the cross section perpendicular to the longitudinal direction of rope model 51.

[0201] Also, x'o is the initial elongation amount of the lower end of the payout side portion, which is a negative value. The rope stiffness ko of the payout side portion is a function of Young's modulus E, cross-sectional area A, and length Lo of the payout side portion.

[0202] When the winding side portion is wound by Δx, the payout side portion becomes longer by the free rope length ΔLi on the pulley model 50. In addition, due to the tension To of the payout side portion, the free rope length ΔLi of the payout side portion is extended by Δuo.

[0203] To = (EA / ΔLi)Δuo (1.9)

[0204] Therefore, when rope model 51 is wound slightly by Δx on pulley model 50, the lower end of the payout side portion is displaced downward by ΔLi+Δuo. The balance of forces in the payout side portion after being wound by Δx is given by the following equation.

[0205] To = (EA / (Lo + ΔLi)) (yo-xo) =(EA / (Lo+ΔLi)){ yo-(x'o-ΔLi-Δuo)} (1.10)

[0206] The tension To of the payout side portion is calculated from the displacement difference yo-xo between the upper end and the lower end of the payout side portion. From this formula, the relational expression that the displacement yo of the upper end of the payout side portion must satisfy is obtained.

[0207] yo=(To / EA)(Lo+ΔLi)+x'o-ΔLi-Δuo (1.11)

[0208] The above equation is rearranged using equations (1.11), (1.8), and (1.9).

[0209] yo=(To / EA)(Lo+ΔLi)-(To / EA)Lo-ΔLi-Δuo =(To / EA)ΔLi-ΔLi-Δuo =Δuo-ΔLi-Δuo=-ΔLi (1.12)

[0210] From this formula, the displacement yo of the upper end given to the rope stiffness ko of the payout side part needs to be the free rope length -ΔLi of the payout amount, not the winding amount -Δx. As a result, the displacement xo of the lower end of the payout side part becomes the payout amount ΔLi + Δuo.

[0211] In addition, the displacement Δxi=ΔLi+Δui of the bottom end of the winding side portion, whereas the displacement xo of the bottom end of the unwinding side portion is different from ΔLi+Δuo. This difference is the creep amount Δcr of the rope model 51 on the pulley model 50.

[0212] Δcr=Δuo-Δui=(ΔLi / EA)(To-Ti) (1.13)

[0213] The discussion so far has been on the formulation for the case where pulley model 50 rotates counterclockwise in Fig. 15, as shown in Fig. 15. On the other hand, when considering the relational equation for the case where pulley model 50 rotates clockwise in Fig. 15, the counterclockwise relational equation can be used as is by defining the winding amount Δx as a negative value. However, since the tension in the winding side portion becomes To in Fig. 15, it is necessary to replace Ti in equation (1.4) with To in Fig. 15.

[0214] 15 shows a configuration in which the rope model 51 is wound around the upper part of the pulley model 50 and pulled downward. However, the derived relational expression remains the same even in a configuration in which the rope model 51 is wound around the lower part of the pulley model 50 and pulled upward.

[0215] Based on the above results, the model of winding the rope model 51 around the pulley model 50 can be organized as follows.

[0216] The counterclockwise rope displacement on the pulley model 50 is set as positive, and the clockwise rope displacement is set as negative, and the sign of the winding amount Δx is set according to the direction of rotation. The rope stiffness ki of the winding side is defined as the product of Young's modulus E and cross-sectional area A of the rope model 51 divided by the length Li of the winding side. The rope stiffness ko of the payout side is defined as the product of Young's modulus E and cross-sectional area A of the rope model 51 divided by the length Lo of the payout side. The lengths Li and Lo when calculating the rope stiffness ki and ko are set to the free length of the rope where no tension is acting on the rope model 51.

[0217] The tension Ti on the winding side is defined as the rope stiffness ki multiplied by the difference in displacement between the upper and lower ends yi-xi. The tension To of the payout side is defined as the rope stiffness ko multiplied by the displacement difference yo-xo between the upper and lower ends.

[0218] The displacement of the end of the pulley model 50 side in the winding side portion is defined as a value obtained by subtracting the rope elongation amount Δui in the winding side portion from the minute winding amount Δx of the rope model 51 on the pulley model 50, and corresponds to the free length ΔLi of the rope with respect to the winding amount Δx. The displacement of the end of the pulley model 50 side in the payout side portion is defined as a value obtained by subtracting the rope elongation amount Δui in the take-up side portion from the minute take-up amount Δx of the rope model 51 on the pulley model 50, and corresponds to the free length ΔLi of the rope relative to the take-up amount Δx. The amount of rope elongation on the pulley model 50 above is calculated from the tension Ti on the winding side.

[0219] Next, Fig. 22 is an explanatory diagram showing a model of the elevator in Fig. 1. Fig. 22 shows a model using a 1:1 roping system with one rope as the simplest model.

[0220] Each element of the elevator is modeled as a spring and mass system. The rope 5 is modeled as a mass element on the drive sheave 7, and as a spring element on the winding section side and the unwinding section side.

[0221] In Fig. 22, Js is the moment of inertia of the drive sheave 7. Jr is the moment of inertia of the rope 5 on the drive sheave 7. Jr is the moment of inertia due to the mass of the part of the rope 5 that moves integrally with the drive sheave 7.

[0222] Mc is the mass of the car 1. Mw is the mass of the counterweight 2. msc is the mass of the car side shackle. msw is the mass of the counterweight side shackle. In FIG. 1, the car side shackle and the counterweight side shackle are omitted.

[0223] mrc is the mass of the car side portion of the rope 5. mrw is the mass of the counterweight side portion of the rope 5. The car side portion is the portion of the rope 5 located on the car 1 side of the drive sheave 7. The counterweight side portion is the portion of the rope 5 located on the counterweight 2 side of the drive sheave 7. The above are parameters related to the inertia elements.

[0224] ksc is the stiffness of the cage side shackle. ksw is the stiffness of the counterweight side shackle. krc is the stiffness of the cage side portion of the rope 5. krw is the stiffness of the counterweight side portion of the rope 5. These are parameters relating to stiffness elements.

[0225] θs is the rotation angle of the drive sheave 7. θr is the rotation angle of the rope 5 on the drive sheave 7. xc is the displacement of the car 1. xw is the displacement of the counterweight 2. xsc is the displacement of the car side shackle. xsw is the displacement of the counterweight side shackle. xrc is the displacement of the car side portion of the rope 5. xrw is the displacement of the counterweight side portion of the rope 5.

[0226] The equation of motion expressed as a differential equation that does not consider the damping term due to the damping element is as follows. Here, d^2 / dt^2 is used as the operator indicating the second-order differentiation operation with respect to time t.

[0227] Mc(d^2 / dt^2)xc-ksc(xsc-xc)=-Mc g (1.14)

[0228] Mw(d^2 / dt^2)xw-ksw(xsw-xw)=-Mw g (1.15)

[0229] msc(d^2 / dt^2)xsc+ksc(xsc-xc)-krc(xrc-xsc) =-msc g (1.16)

[0230] msw(d^2 / dt^2)xsw+ksw(xsw-xw)-krw(xrw-xsw) =-msw g (1.17)

[0231] mrc(d^2 / dt^2)xrc+krc(xrc-xsc)-krc(-R1θr-xrc) =-mrc g (1.18)

[0232] mrw(d^2 / dt^2)xrw+krw(xrw-xsw)-krw(R1θr-xrw) =-mrw g (1.19)

[0233] Js(d^2 / dt^2)θs=τ-λ (1.20)

[0234] Jr(d^2 / dt^2)θr-krcR1(-R1θr-xrc)+krwR1(R1θr-xrw) = λ (1.21)

[0235] Here, R1 is the radius of the driving sheave 7. g is the gravitational acceleration. τ is the driving torque applied to the driving sheave 7. λ is the restraining torque acting between the driving sheave 7 and the rope 5.

[0236] On the drive sheave 7, the drive sheave 7 and the rope 5 move together within the range of the limit traction ratio Γ. The limit traction ratio Γ is given as a function of the friction coefficient between the drive sheave 7 and the rope 5 and the winding angle of the rope 5 around the drive sheave 7.

[0237] In this case, the condition to be satisfied by the ratio of the tension Ti in the winding side portion of the rope 5 to the tension To in the unwinding side portion, and the constraint condition equation are given by the following equation. Here, d / dt is used as the operator indicating the first-order differentiation operation with respect to time t.

[0238] (1 / Γ)<(To / Ti)<Γ (1.22)

[0239] (d / dt)θs-(d / dt)θr=0 (1.23)

[0240] The restraining torque λ acts on the drive sheave 7 and the rope 5 as a force that satisfies the above formula. On the other hand, when the tension ratio To / Ti exceeds the limit traction ratio Γ, a frictional force acts and the rope 5 slips relative to the drive sheave 7, causing a difference in rotation speed between the drive sheave 7 and the rope 5.

[0241] (d / dt)θs-(d / dt)θr≠0 (1.24)

[0242] Below, we will explain the behavior when the car 1 descends, that is, when the drive sheave 7 rotates counterclockwise in Fig. 22. We consider the balanced state at time t+Δt after an infinitesimal time Δt has elapsed from the balanced state at time t. When the car 1 descends at the infinitesimal time Δt, the amount of winding Δx on the drive sheave 7 is given by the following equation.

[0243] Δx=R1Δθr=ΔL+Δu (1.25)

[0244] Here, ΔL is the free length of the rope relative to the minute amount of winding Δx when the car 1 descends, that is, the length of the rope when no tension is applied. Also, Δu is the amount of rope stretch relative to the minute amount of winding Δx when the car 1 descends.

[0245] Each sheave groove 8 is worn down over time by the rope 5. Since the radius R1 is the radius of the drive sheave 7 in each sheave groove 8, if the amounts of wear in multiple sheave grooves 8 are different from one another, the radius R1 will differ slightly depending on the sheave groove 8.

[0246] Such a difference in radius R1 causes a difference in the amount of winding, resulting in a difference in tension between the multiple ropes 5.

[0247] If the tension acting on the counterweight side portion of the rope 5 is Tw, then Δu satisfies the following equation.

[0248] Tw=(EA / ΔL)Δu → Δu=(Tw / EA)ΔL (1.26)

[0249] Therefore, the free rope length ΔL can be calculated from the minute winding amount Δx.

[0250] Δx=(1+(Tw / EA))ΔL → ΔL=Δx / (1+(Tw / EA)) (1.27)

[0251] From this formula, the length Lc of the rope 5 on the cage side and the length Lw of the rope 5 on the counterweight side are given by the following formulas.

[0252] Lo(t+Δt)=Lc(t+Δt)=Lc(t)+ΔL, Li(t+Δt)=Lw(t+Δt)=Lw(t)-ΔL (1.28)

[0253] The amount of winding at time t+Δt, the corresponding free length of the rope, and the amount of rope stretch are given by the following equations.

[0254] x(t+Δt)=x(t)+Δx, L(t+Δt)=L(t)+ΔL, u(t+Δt)=u(t)+Δu (1.29)

[0255] The amount of rope taken up by the drive sheave 7, x(t+Δt)=Rθr(t+Δt), includes the amount of rope stretch. However, in order to calculate the tension generated in the take-up side portion of the rope 5 and the tension generated in the pay-out side portion of the rope 5, it is necessary to use Rθr as the amount of rope taken up, but not as it is, but as the free length L of the rope.

[0256] The free length L of the rope can be calculated using the following formula.

[0257] x(t+Δt)=R1θr(t+Δt) =L(t+Δt)+u(t+Δt) → L=R1θr-u (1.30)

[0258] Therefore, the tension Ti generated in the winding side portion of the rope 5 is given by the following formula.

[0259] Ti=Tw=ki(L-xrw) =krw(L-xrw)=krw(R1θr-u-xrw) (1.31)

[0260] Further, the tension To generated in the payout side portion of the rope 5 is given by the following formula.

[0261] To=ko(-L-xrc) =krc(-L-xrc)=krc(-R1θr+u-xrc) (1.32)

[0262] From these equations, the winding amounts in the equations of motion (1.18), (1.19), and (1.21) are modified as follows:

[0263] R1θr → R1θr-u (1.33)

[0264] Next, the behavior when the car 1 ascends, that is, when the driving sheave 7 rotates clockwise in Fig. 21, will be described. When the car 1 ascends in an infinitesimal time Δt, the winding amount Δx on the driving sheave 7 is given by the following equation. Note that since the counterclockwise direction in Fig. 21 is taken as positive, when the driving sheave 7 rotates clockwise in Fig. 21, the winding amount Δx becomes a negative value.

[0265] Δx=R1θr=ΔL+Δu (1.34)

[0266] Here, Δu is the amount of rope stretch relative to the minute amount of winding Δx when the car 1 rises, and is a negative value.

[0267] If the tension acting on the cage side portion of the rope 5 is Tc, Δu satisfies the following equation.

[0268] Tc=(EA / ΔL)Δu → Δu=(Tc / EA)ΔL (1.35)

[0269] Therefore, the free rope length ΔL can be calculated from the minute winding amount Δx.

[0270] Δx=(1+(Tc / EA))ΔL → ΔL=Δx / (1+(Tc / EA)) (1.36)

[0271] From this formula, the length Lc of the rope 5 on the cage side and the length Lw of the rope 5 on the counterweight side are given by the following formulas.

[0272] Li(t+Δt)=Lc(t+Δt)=Lc(t)+ΔL, Lo(t+Δt)=Lw(t+Δt)=Lw(t)-ΔL (1.37)

[0273] Here, since the free length ΔL is a negative value, the rope length on the car side decreases and the rope length on the counterweight side increases.

[0274] The free length L of the rope when the car 1 is rising can be calculated by the following formula.

[0275] x(t+Δt)=R1θr(t+Δt) =L(t+Δt)+u(t+Δt) → L=R1θr-u (1.38)

[0276] Therefore, the tension Ti generated in the winding side portion of the rope 5 is given by the following formula.

[0277] Ti=Tc=ki(-L-xrc) =krc(-L-xrc)=krc(-R1θr+u-xrc) (1.39)

[0278] Further, the tension To generated in the payout side portion of the rope 5 is given by the following formula.

[0279] To=ko(L-xrw) =krw(L-xrw)=krw(R1θr-u-xrw) (1.40)

[0280] From these equations, the winding amounts in the equations of motion (1.18), (1.19), and (1.21) are modified as follows:

[0281] R1θr → R1θr-u (1.41)

[0282] From the above results, the tension model as a generalized model of rope winding can be defined as follows: In this specification and claims, the analytical model for rope tension will be referred to as the tension model for simplicity.

[0283] Regardless of the direction of travel of the car 1, the rope length Lc on the car 1 side and the rope length Lw on the counterweight 2 side are obtained by the following formulas. That is, the length of the winding side portion and the length of the unwinding side portion are calculated from the free rope length ΔL.

[0284] Lc(t+Δt)=Lc(t)+ΔL,Lw(t+Δt)=Lw(t)-ΔL (1.42)

[0285] Here, ΔL satisfies the following formula:

[0286] When the car descends: ΔL = (1.27), when the car ascends: ΔL = (1.36) (1.43)

[0287] The winding amount parts in the equations of motion (1.18), (1.19), and (1.21) are modified as follows:

[0288] R1θr → L=R1θr-u (1.44)

[0289] As shown in equations (1.27) and (1.36), the free length ΔL of the rope is a function of the winding amount Δx and the tension Ti of the winding side portion.

[0290] Here, the relational expression of the correction amount u in a short time is as follows:

[0291] u(t+Δt)=u(t)+Δu (1.45)

[0292] When the car descends: Δu = (1.26), when the car ascends: Δu = (1.35) (1.46)

[0293] As shown in equations (1.26) and (1.35), the rope elongation Δu is a value proportional to the rope free length ΔL and the tension Ti of the take-up side portion.

[0294] The above relational expressions also hold true when there are one or more pulleys in addition to the driving sheave 7, which is a rope, and also hold true regardless of the number of ropes 5.

[0295] Next, as an example, calculation results are shown for a 1:1 roping elevator in which two ropes 5 are wound around the drive sheave 7 in a single wrap manner. In the calculations below, the tensions of the two ropes 5 in the cases where the depths of the two sheave grooves 8 are equal and where they are different are found by changing the car position.

[0296] Fig. 23 is a graph showing the relationship between the tension of the two ropes 5 and the cage position when the depths of the two sheave grooves 8 are equal. Fig. 24 is a graph showing the relationship between the tension of the two ropes 5 and the cage position when there is a difference of 0.2 mm in the depths of the two sheave grooves 8. Fig. 25 is a graph showing the relationship between the calculated tension of the two ropes 5 and the cage position compared with multiple actual measured values ​​when there is a difference of 0.7 mm in the depths of the two sheave grooves 8.

[0297] 23, 24, and 25, car 1 travels back and forth between the top floor and the bottom floor. Car 1 indicates the tension in the car side portion of one rope 5. Car 2 indicates the tension in the car side portion of the other rope 5.

[0298] CWT1 indicates the tension of the counterweight side portion of one rope 5. CWT2 indicates the tension of the counterweight side portion of the other rope 5. The measured values ​​of each tension are values ​​obtained by measuring the tension acting on the shackle spring.

[0299] When the depths of the two sheave grooves 8 are equal to each other, as shown in FIG. 23, the tension shows a constant value regardless of the cage position.

[0300] On the other hand, the difference in depth between the two sheave grooves 8 corresponds to the radius R1 of the drive sheave 7 in the equation of motion being different for each rope 5. When there is a difference in depth between the two sheave grooves 8, the tension when the car 1 is ascending and the tension when it is descending trace different trajectories, as shown in Fig. 24. In Fig. 24, the sheave grooves 8 corresponding to Car2 and CWT2 are deeper than the sheave grooves 8 corresponding to Car1 and CWT1.

[0301] If the winding amount is calculated using a model that does not consider the amount of rope stretch, the tension will change with the change in the cage position due to the difference in the amount of initial rope stretch, which represents the deviation in the initial tension, even if the groove depth is the same. Therefore, the result will differ from the actual tension behavior, which does not change with the cage position.

[0302] When the difference in depth between the two sheave grooves 8 becomes large, the tension ratio between the take-up side portion and the pay-out side portion exceeds the limit traction ratio Γ, the rope 5 slips relative to the drive sheave 7, and the gradient of the tension fluctuation changes midway, as shown in Figure 25. Figure 25 shows that the analysis method of the first embodiment allows for accurate calculation of tension fluctuation, including rope slippage behavior.

[0303] Since the limit traction ratio Γ is a function of the coefficient of friction between the drive sheave 7 and the rope 5, if the coefficient of friction changes, the limit traction ratio Γ also changes. This change in the limit traction ratio Γ appears as a shift in the inflection point where the gradient of the tension fluctuation changes. Therefore, by grasping the amount of shift in this inflection point, it is also possible to find the amount of change in the coefficient of friction.

[0304] The tensions measured by the first tension measuring device 12 and the second tension measuring device 13 may be tensions measured with the car 1 stopped at any position in the elevator shaft. According to the elevator monitoring device 20 of the eighth embodiment, the tension model can be used to calculate tensions at positions other than the measurement position as tension analysis values.

[0305] Furthermore, the tension measured by the first tension measuring device 12 and the second tension measuring device 13 may be a continuous tension measured while the car 1 is traveling. In this case, the travel section of the car 1 may be between the lowest floor and the highest floor, or between any two points.

[0306] In addition, in the eighth embodiment, the first tension measuring device 12 and the second tension measuring device 13 may be permanent sensors, or may be sensors that are installed only during maintenance inspection. In the elevator monitoring device 20 of the eighth embodiment, by inputting information on the tension measured during maintenance inspection, the car travel distance, the car position, and the load amount in the car into the tension model, it is possible to calculate a tension analysis value and also to calculate a plurality of predicted wear amounts.

[0307] Moreover, Fig. 26 is a flowchart showing a wear prediction process by the elevator monitoring device 20 in a modification of the embodiment 8. In this modification, the processes of steps S407 to S410 in Fig. 20 are omitted.

[0308] In this manner, the determination regarding the limit traction ratio Γ may be omitted.

[0309] Furthermore, in the eighth embodiment, the rotation sensor 14 may be omitted, similarly to the sixth embodiment shown in Fig. 14. In this case, the slippage amount estimate value is calculated, similarly to the sixth embodiment.

[0310] Embodiment 9 Next, Fig. 27 is a schematic configuration diagram showing an elevator system according to a ninth embodiment. An elevator device 10 of the ninth embodiment is a machine room-less elevator of a 2:1 roping system. A hoisting machine 3 is installed at the top of the hoistway. An elevator control device 11 is installed in the hoistway.

[0311] A cage hoisting pulley 1a, which is a sheave, is provided on the cage 1. A counterweight hoisting pulley 2a, which is also a sheave, is provided on the counterweight 2.

[0312] At the top of the hoistway, a car side rope stopper (not shown) and a counterweight side rope stopper (not shown) are installed. A first end of each rope 5 is connected to the car side rope stopper. A second end of each rope 5 is connected to the counterweight side rope stopper.

[0313] Each rope 5 is wound around the car sheave 1a, the driving sheave 7, and the counterweight sheave 2a in that order from the first end. The first tension measuring device 12 is provided at the first end. The second tension measuring device 13 is provided at the second end.

[0314] Each rope 5 has a first portion, a second portion, a third portion, and a fourth portion. The first portion is between the car side rope stopper and the car hoist 1a. The second portion is between the car hoist 1a and the drive sheave 7. The third portion is between the drive sheave 7 and the counterweight hoist 2a. The fourth portion is between the counterweight hoist 2a and the counterweight side rope stopper.

[0315] A tension force Tca acts on the first portion due to the weight of the car 1. A tension force Tcm acts on the second portion due to the weight of the car 1. A tension force Twm acts on the third portion due to the weight of the counterweight 2. A tension force Twa acts on the fourth portion due to the weight of the counterweight 2.

[0316] The tension Tca is measured by a first tension measuring device 12. The tension Twa is measured by a second tension measuring device 13.

[0317] The tensions Tcm and Twm can be calculated as tension analysis values ​​using a tension model. The tensions Tcm and Twm may also be measured by a percussion method or a removable sensor during maintenance and inspection.

[0318] The control system of the elevator system of the ninth embodiment is the same as that of the eighth embodiment. Moreover, the method of calculating a plurality of predicted wear amounts is the same as that of the eighth embodiment.

[0319] For such an elevator apparatus 10 using a 2:1 roping system, the future amount of wear of the multiple sheave grooves 8 can also be predicted more accurately.

[0320] The elevator monitoring program of the ninth embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the ninth embodiment. Moreover, the recording medium of the ninth embodiment is a computer-readable recording medium having the elevator monitoring program of the ninth embodiment recorded therein.

[0321] Embodiment 10 Next, a tenth embodiment will be described. The elevator system according to the tenth embodiment is similar to that shown in FIG. 1. Moreover, the control system of the elevator system according to the tenth embodiment is similar to that of any of the first to eighth embodiments.

[0322] Fig. 28 is an explanatory diagram that shows a schematic relationship between the car 1, the driving sheave 7, and a plurality of ropes 5. Fig. 29 is an explanatory diagram that shows a state in which the car 1 in Fig. 28 approaches the driving sheave 7. In Figs. 28 and 29, three ropes 5 are shown as an example.

[0323] The wear prediction unit 22 of the tenth embodiment stores the rope angle relational expression shown below. That is, the storage unit 24 stores the rope angle relational expression. The rope angle relational expression indicates the relationship between the angle θ(t) of the rope 5 with respect to the vertical direction, the vertical distance L(t) from the drive sheave 7 to the end of the rope 5 on the car 1 side, and the horizontal deviation d of the end of the rope 5 on the car 1 side with respect to the sheave groove 8. The angle θ(t) is also called the fleet angle.

[0324] θ(t)=tan -1 (d / L(t))

[0325] Since the horizontal displacement of the car 1 is regulated by a pair of car guide rails (not shown), the deviation amount d is a constant value independent of the car position. That is, the deviation amount d in FIG. 28 is the same value as the deviation amount d in FIG. 29.

[0326] On the other hand, the distance L(t) and the angle θ(t) vary depending on the car position. When car 1 moves from a lower floor to a higher floor, the value of the distance L(t) becomes smaller and the value of the angle θ(t) becomes larger. Conversely, when car 1 moves from a higher floor to a lower floor, the value of the distance L(t) becomes larger and the value of the angle θ(t) becomes smaller.

[0327] Because the angle θ(t) varies depending on the cage position, the direction of the surface pressure acting on the sheave groove 8 also varies depending on the cage position. When the direction of the surface pressure varies, the direction of wear in the sheave groove 8 also varies. The angle θ(t) corresponds to the direction in which wear progresses.

[0328] Fig. 30 is a cross-sectional view showing an example of the wear state of each sheave groove 8 in the drive sheave 7 of Fig. 28. Each sheave groove 8 has worn from the initial state shown by the two-dot chain line to the state shown by the solid line. The wear progresses in each sheave groove 8 in the direction shown by the arrow.

[0329] The wear prediction unit 22 of the tenth embodiment estimates the direction in which wear will progress by using the rope angle relational equation for the wear amount instantaneous value calculated by the wear prediction equation. When calculating the cumulative value of the wear amount instantaneous value, the wear prediction unit 22 also calculates the angle θ(t) at which wear progresses. Then, the wear prediction unit 22 outputs a two-dimensional cross-sectional shape, for example as shown in FIG. 30, to the maintenance device 30 together with a plurality of wear amount predicted values.

[0330] In this case, the maintenance device 30 displays on the maintenance display a two-dimensional cross-sectional shape as shown in Fig. 30. Also, the elevator monitoring device 20 displays on the monitoring display a two-dimensional cross-sectional shape as shown in Fig. 30.

[0331] The configuration and monitoring method in the tenth embodiment are the same as those in any of the first to ninth embodiments.

[0332] With such a configuration, the future wear amounts of the plurality of sheave grooves 8 can also be predicted more accurately.

[0333] Furthermore, the wear prediction unit 22 uses the rope angle relational expression to estimate the direction in which future wear will progress in the multiple sheave grooves 8. This makes it possible to more accurately predict the future wear state for each sheave groove 8.

[0334] The elevator monitoring program of the tenth embodiment is a program that causes a computer to execute the processing of the monitoring method by the elevator monitoring device 20 of the tenth embodiment. Moreover, the recording medium of the tenth embodiment is a computer-readable recording medium having the elevator monitoring program of the tenth embodiment recorded therein.

[0335] In addition, in the sixth to tenth embodiments, either the first tension measuring device 12 or the second tension measuring device 13 may be omitted. For example, when the second tension measuring device 13 is omitted, the tension of the counterweight side portion can be calculated from the design value of the weight of the counterweight 2.

[0336] In addition, in the sixth to tenth embodiments, the measurement data from the first tension measuring device 12 and the second tension measuring device 13 may be transmitted to the elevator monitoring device 20 via the elevator control device 11 without going through the maintenance device 30.

[0337] In addition, in the sixth to tenth embodiments, the measurement data from the first tension measuring device 12 and the second tension measuring device 13 may be transmitted directly to the elevator monitoring device 20 without going through the maintenance device 30.

[0338] In the seventh to tenth embodiments, the signal from the rotation sensor 14 may be transmitted directly to the elevator monitoring device 20 without going through the elevator control device 11.

[0339] Furthermore, the rope in this disclosure is used in a broad sense and includes, for example, a belt for suspending a cage.

[0340] Moreover, the sheave in this disclosure is not limited to the drive sheave 7 .

[0341] Furthermore, the elevator system in this disclosure may be an elevator with a machine room, a machine room-less elevator, a double-deck elevator, a one-shaft multi-car elevator, etc. The one-shaft multi-car system is a system in which an upper car and a lower car arranged directly below the upper car each independently ascend and descend in a common elevator shaft.

[0342] In the first to tenth embodiments, the elevator monitoring device 20 may be an independent device or may be incorporated into another device as a part of the function of the other device. Examples of the other device include the maintenance device 30 and the elevator control device 11.

[0343] In addition, the elevator monitoring device 20 may be implemented in a cloud, a server, etc. on a communication network.

[0344] Moreover, each function of the elevator monitoring device 20 according to the first to tenth embodiments is realized by a processing circuit. Fig. 31 is a configuration diagram showing a first example of a processing circuit that realizes each function of the elevator monitoring device 20 according to the first to tenth embodiments. The processing circuit 100 of the first example is dedicated hardware.

[0345] The processing circuit 100 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination of these. Each function of the elevator monitoring device 20 may be realized by an individual processing circuit 100, or each function may be realized by the processing circuit 100 collectively.

[0346] 32 is a configuration diagram showing a second example of the processing circuit for realizing each function of the elevator monitoring device 20 according to the first to tenth embodiments. The processing circuit 200 of the second example includes a processor 201 and a memory 202.

[0347] The processor 201 may be, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, a microcontroller, or a digital signal processor (DSP).

[0348] In the processing circuit 200, each function of the elevator monitoring device 20 is realized by software, firmware, or a combination of software and firmware. The software and firmware are written as programs and stored in the memory 202. The processor 201 realizes each function by reading and executing the programs stored in the memory 202.

[0349] It can be said that the programs stored in the memory 202 cause the computer to execute the procedures or methods of each of the above-mentioned parts. Here, the memory 202 is, for example, a non-volatile or volatile semiconductor memory such as a random access memory (RAM), a read only memory (ROM), a flash memory, an erasable programmable read only memory (EPROM), an electrically erasable and programmable read only memory (EEPROM), etc. In addition, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, a DVD, etc. also fall under the category of the memory 202.

[0350] It should be noted that some of the functions of the above-mentioned components may be realized by dedicated hardware, and other parts may be realized by software or firmware.

[0351] In this way, the processing circuitry can realize the functions of each of the above-mentioned units through hardware, software, firmware, or a combination of these.

[0352] Although the preferred embodiments have been described in detail above, the present invention is not limited to the above-described embodiments, and various modifications and substitutions can be made to the above-described embodiments without departing from the scope of the claims.

[0353] Various aspects of the present disclosure are summarized below as appendices.

[0354] (Appendix 1) A wear prediction unit that calculates a wear prediction value that is a prediction value of future wear that will occur in a set period in a plurality of sheave grooves using a wear prediction formula that inputs the tension of the cage side portion and the tension of the counterweight side portion of the plurality of ropes that suspend the cage and the counterweight, the slippage of the plurality of ropes, and the material hardness of the sheave. An elevator monitoring device comprising: (Appendix 2) The wear prediction unit is An average value of the tension of the cage side portion and an average value of the tension of the counterweight side portion of each of the plurality of ropes are obtained; Calculating a surface pressure acting on each of the plurality of sheave grooves; 2. An elevator monitoring device as described in claim 1, which calculates the predicted wear amount value for each of the plurality of sheave grooves. (Appendix 3) The elevator monitoring device described in Appendix 1, wherein the wear prediction unit obtains an average value of the average tension of all of the car side portions of the plurality of ropes and an average value of the average tension of all of the counterweight side portions of the plurality of ropes. (Appendix 4) 4. The elevator monitoring device of claim 2, wherein each of the average values ​​includes tension fluctuations due to movement of the car. (Appendix 5) The wear prediction unit is In the wear prediction formula, a surface pressure acting on the plurality of sheave grooves is calculated using tensions of the plurality of ropes; 5. An elevator monitoring device according to any one of claims 1 to 4, wherein a creep amount as the amount of slippage is calculated from the difference between the amount of rotation of the sheave and the traveling distance of the car. (Appendix 6) The wear prediction unit stores a slippage calculation formula, 5. The elevator monitoring device according to claim 1, wherein the wear prediction unit uses, as the slippage, a slippage estimated value calculated using the slippage calculation formula. (Appendix 7) The wear prediction unit stores a first slippage calculation formula and a second slippage calculation formula as the slippage calculation formula, 7. The elevator monitoring device according to claim 6, wherein the wear prediction unit determines whether to select the first slippage calculation formula or the second slippage calculation formula depending on whether a ratio of the tension of the car side portion to the tension of the counterweight side portion exceeds a limit traction ratio. (Appendix 8) The elevator monitoring device of any one of Appendix 1 to Appendix 7, wherein the wear prediction unit inputs moment-by-moment tension data as the tension of the car side portion and the tension of the counterweight side portion into the wear prediction formula to calculate instantaneous values ​​of wear of the multiple sheave grooves, and accumulates the instantaneous wear values ​​to calculate the predicted wear amount value. (Appendix 9) The elevator monitoring device of any one of Appendices 1 to 8, wherein the wear prediction unit updates parameters of the wear prediction formula based on past state quantities including past tension data, past rotation amounts of the sheave, and past wear amounts. (Appendix 10) The wear prediction unit uses tension analysis values ​​calculated using a tension model as the tension of the cage side portion and the tension of the counterweight side portion, The elevator monitoring device according to any one of appendices 1 to 9, wherein the tension model is a model consisting of a plurality of equations of motion, in which the car side portion and the counterweight side portion are each modeled as a spring. (Appendix 11) The wear prediction unit stores a rope angle relational expression for determining the angle of each of the ropes that varies depending on the cage position, The elevator monitoring device of any one of Supplementary Note 1 to Supplementary Note 10, wherein the wear prediction unit uses the rope angle relational equation to estimate a future direction of wear progression in the multiple sheave grooves. (Appendix 12) A wear prediction step of calculating a wear prediction value, which is a prediction value of future wear amounts occurring in a set period in a plurality of sheave grooves, using a wear prediction formula having inputs of tensions of a cage side portion and a counterweight side portion of a plurality of ropes suspending the cage and the counterweight, slippage of the plurality of ropes, and material hardness of the sheave. 2. An elevator monitoring method comprising: (Appendix 13) An elevator monitoring program that causes a computer to execute the elevator monitoring method described in appendix 12. (Appendix 14) A recording medium recording an elevator monitoring program that causes a computer to execute the elevator monitoring method described in Appendix 12. [Explanation of symbols]

[0355] 1 cage, 2 counterweight, 5 rope, 7 drive sheave, 8 sheave groove, 20 elevator monitoring device, 22 wear prediction section.

Claims

1. A wear prediction unit that calculates a wear prediction value that is a prediction value of future wear that will occur in a set period in a plurality of sheave grooves using a wear prediction formula that inputs the tension of the cage side portion and the tension of the counterweight side portion of the plurality of ropes that suspend the cage and the counterweight, the slippage of the plurality of ropes, and the material hardness of the sheave. Equipped with The wear prediction unit is an elevator monitoring device that obtains an average value of the average tension of all of the plurality of ropes on the car side and an average value of the average tension of all of the plurality of ropes on the counterweight side.

2. 2. The elevator monitoring system of claim 1, wherein each of said average values ​​includes tension fluctuations due to movement of said car.

3. A wear prediction unit that calculates a wear prediction value that is a prediction value of future wear that will occur in a set period in a plurality of sheave grooves using a wear prediction formula that inputs the tension of the cage side portion and the tension of the counterweight side portion of a plurality of ropes that suspend a cage and a counterweight, the slippage of the plurality of ropes, and the material hardness of the sheave. Equipped with The wear prediction unit is An average value of the tension of the cage side portion and an average value of the tension of the counterweight side portion of each of the plurality of ropes are obtained; Calculating a surface pressure acting on each of the plurality of sheave grooves; Calculating the predicted wear amount value for each of the plurality of sheave grooves; An elevator monitoring apparatus in which each of the average values ​​includes tension variations due to movement of the car.

4. A wear prediction unit that calculates a wear prediction value that is a prediction value of future wear that will occur in a set period in a plurality of sheave grooves using a wear prediction formula that inputs the tension of the cage side portion and the tension of the counterweight side portion of a plurality of ropes that suspend a cage and a counterweight, the slippage of the plurality of ropes, and the material hardness of the sheave. Equipped with The wear prediction unit stores a slippage calculation formula, The wear prediction unit uses a slippage estimated value calculated using the slippage calculation formula as the slippage, The wear prediction unit stores a first slippage calculation formula and a second slippage calculation formula as the slippage calculation formula, The wear prediction unit determines whether to select the first slippage calculation formula or the second slippage calculation formula depending on whether a ratio of the tension in the car side portion to the tension in the counterweight side portion exceeds a limit traction ratio.

5. A wear prediction unit that calculates a wear prediction value that is a prediction value of future wear that will occur in a set period in a plurality of sheave grooves using a wear prediction formula that inputs the tension of the cage side portion and the tension of the counterweight side portion of a plurality of ropes that suspend a cage and a counterweight, the slippage of the plurality of ropes, and the material hardness of the sheave. Equipped with The wear prediction unit inputs moment-by-moment tension data as the tension of the car side portion and the tension of the counterweight side portion into the wear prediction formula to calculate instantaneous wear amounts of the plurality of sheave grooves, and accumulates the instantaneous wear amounts to calculate the predicted wear amount value. This is an elevator monitoring device.

6. A wear prediction unit that calculates a wear prediction value that is a prediction value of future wear that will occur in a set period in a plurality of sheave grooves using a wear prediction formula that inputs the tension of the cage side portion and the tension of the counterweight side portion of a plurality of ropes that suspend a cage and a counterweight, the slippage of the plurality of ropes, and the material hardness of the sheave. Equipped with The wear prediction unit is an elevator monitoring device that updates parameters of the wear prediction formula based on past state quantities including past tension data, past rotation amounts of the sheave, and past amounts of wear.

7. A wear prediction unit that calculates a wear prediction value that is a prediction value of future wear that will occur in a set period in a plurality of sheave grooves using a wear prediction formula that inputs the tension of the cage side portion and the tension of the counterweight side portion of a plurality of ropes that suspend a cage and a counterweight, the slippage of the plurality of ropes, and the material hardness of the sheave. Equipped with The wear prediction unit uses tension analysis values ​​calculated using a tension model as the tension of the cage side portion and the tension of the counterweight side portion, The tension model of the elevator monitoring device is a model in which the car side portion and the counterweight side portion are each modeled as a spring, and which is composed of a plurality of equations of motion.

8. A wear prediction unit that calculates a wear prediction value that is a prediction value of future wear that will occur in a set period in a plurality of sheave grooves using a wear prediction formula that inputs the tension of the cage side portion and the tension of the counterweight side portion of a plurality of ropes that suspend a cage and a counterweight, the slippage of the plurality of ropes, and the material hardness of the sheave. Equipped with The wear prediction unit stores a rope angle relational expression for determining the angle of each of the ropes that varies depending on the cage position, The wear prediction unit is an elevator monitoring device that estimates a future direction of wear in the multiple sheave grooves using the rope angle relational equation.

9. A wear prediction step of calculating a wear prediction value, which is a prediction value of future wear amounts occurring in a set period in a plurality of sheave grooves, using a wear prediction formula having inputs of tensions of a cage side portion and a counterweight side portion of a plurality of ropes suspending the cage and the counterweight, slippage of the plurality of ropes, and material hardness of the sheave. Including, An elevator monitoring method in which the wear prediction step obtains an average value of the average tension of all of the plurality of ropes on the car side and an average value of the average tension of all of the plurality of ropes on the counterweight side.

10. A wear prediction step of calculating a wear prediction value which is a prediction value of future wear amounts occurring in a set period in a plurality of sheave grooves by using a wear prediction formula having as inputs the tensions of the cage side portions and the balance weight side portions of the plurality of ropes suspending the cage and the balance weight, the slippage of the plurality of ropes, and the material hardness of the sheave. Including, In the wear prediction step, An average value of the tension of the cage side portion and an average value of the tension of the counterweight side portion of each of the plurality of ropes are obtained; Calculating a surface pressure acting on each of the plurality of sheave grooves; Calculating the predicted wear amount value for each of the plurality of sheave grooves; A method for monitoring an elevator, wherein each of the average values ​​includes tension fluctuations due to movement of the car.

11. An elevator monitoring program that causes a computer to execute the elevator monitoring method according to claim 9 or 10.

12. A recording medium having recorded thereon an elevator monitoring program for causing a computer to execute the elevator monitoring method according to claim 9 or 10.

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