Elevator monitoring device, elevator monitoring method, and recording medium

Abstract

The invention provides an elevator monitoring device, an elevator monitoring method and a recording medium. The purpose of the present invention is to obtain an elevator monitoring device, an elevator monitoring method, and an elevator monitoring program capable of more accurately predicting future wear amounts of a plurality of sheave grooves. The elevator monitoring device (20) has a wear prediction unit (22). A wear prediction unit (22) calculates a wear amount prediction value using a wear prediction formula. The predicted wear amount value is a predicted value of future wear amount generated in the plurality of sheave grooves during a set period. The wear prediction formula uses the tension of the car-side portion and the tension of the counterweight-side portion of the plurality of ropes, the amount of slippage of the plurality of ropes, and the material hardness of the sheave as inputs.

Description

Technical Field

[0001] This disclosure relates to elevator monitoring devices, elevator monitoring methods, and recording media. Background Technology

[0002] In existing elevator wear measurement devices, the estimated wear of the sheave groove is calculated based on the amount of rotation of the sheave generated during the period of the car's travel reference distance (see, for example, Patent Document 1).

[0003] Patent Document 1: Japanese Patent Application Publication No. 2011-195253

[0004] In existing elevator wear measurement devices like the one described above, the current wear of the sheave groove is estimated, but the future wear of the sheave groove cannot be predicted. Summary of the Invention

[0005] This disclosure was made to solve the aforementioned problem, and its purpose is to provide an elevator monitoring device, elevator monitoring method, elevator monitoring program, and recording medium that can more accurately predict the future wear of multiple sheave grooves.

[0006] The elevator monitoring device disclosed herein has a wear prediction unit that uses a wear prediction formula to calculate the predicted value of the future wear amount generated in multiple sheave grooves within a set period, i.e., the wear amount prediction value. The wear prediction formula takes 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 slippage of the multiple ropes, and the material hardness of the sheave as inputs.

[0007] Furthermore, the elevator monitoring method disclosed herein includes the following wear prediction step: using a wear prediction formula to calculate the predicted value of the future wear amount generated in multiple sheave grooves within a set period, i.e., the wear amount prediction value, which takes the tension of the car-side portion and the tension of the counterweight portion of the multiple ropes suspending the car and counterweight, the slippage of the multiple ropes, and the material hardness of the sheave as inputs.

[0008] According to this disclosure, it is possible to more accurately predict the future wear of multiple sheave grooves. Attached Figure Description

[0009] Figure 1 This is a schematic structural diagram of the elevator system according to Embodiment 1.

[0010] Figure 2 It shows the action on Figure 1 A diagram illustrating the tension of each rope.

[0011] Figure 3 It is shown Figure 2 A 3D view of the drive rope pulley.

[0012] Figure 4 It is shown Figure 3 A cross-sectional view of the first example of a rope pulley groove.

[0013] Figure 5 It is shown Figure 3 A cross-sectional view of the second example of the rope pulley groove.

[0014] Figure 6 It is shown Figure 1 A block diagram of the control system of the elevator system.

[0015] Figure 7 It is shown Figure 6 A flowchart of the wear prediction process for elevator monitoring devices.

[0016] Figure 8 It indicates that it has been inserted. Figure 2 An illustration of an example of the calculation results for the predicted wear amount in the pulley groove of the first rope.

[0017] Figure 9 It indicates that it has been inserted. Figure 2 An illustration of an example of the calculation results for the predicted wear amount in the pulley groove of the second rope.

[0018] Figure 10 This is an explanatory diagram showing an example of the calculation results of the wear prediction value in Embodiment 2.

[0019] Figure 11 This is a block diagram showing the control system of the elevator system according to Embodiment 3.

[0020] Figure 12 This is a block diagram showing the control system of the elevator system according to Embodiment 4.

[0021] Figure 13 This is a block diagram showing the control system of the elevator system according to Embodiment 5.

[0022] Figure 14 This is a block diagram showing the control system of the elevator system according to Embodiment 6.

[0023] Figure 15 This is an illustrative diagram showing an equivalent model of a rope passing over a pulley.

[0024] Figure 16 It is Figure 15 The illustration shows the equivalent model replaced by a one-dimensional coordinate system.

[0025] Figure 17 It is shown Figure 14 A flowchart of the wear prediction process for elevator monitoring devices.

[0026] Figure 18 This is an explanatory diagram illustrating the calculation method for the wear prediction value in Implementation Method 7.

[0027] Figure 19 This is a flowchart illustrating the wear prediction process of the elevator monitoring device in Embodiment 7.

[0028] Figure 20 This is a flowchart illustrating the wear prediction process of the elevator monitoring device in Embodiment 8.

[0029] Figure 21 It is Figure 15 The equivalent model is shown in the illustration, which is divided into a winding side and a delivery side.

[0030] Figure 22 It is Figure 1 The illustration is shown as a model of an elevator.

[0031] Figure 23 This is a diagram showing the relationship between the tension of the two ropes and the position of the car when the depths of the two sheave grooves are equal.

[0032] Figure 24 This is a diagram showing the relationship between the tension of the two ropes and the car position when there is a 0.2mm difference in the depth of the two sheave grooves.

[0033] Figure 25 The graph shows the relationship between the calculated tension of the two ropes and the car position when there is a 0.7mm difference in the depth of the grooves of the two rope pulleys, and multiple measured values.

[0034] Figure 26 This is a flowchart illustrating the wear prediction process of an elevator monitoring device, as shown in a variation of Embodiment 8.

[0035] Figure 27 This is a schematic structural diagram of the elevator system according to embodiment 9.

[0036] Figure 28 It is an illustrative diagram that schematically shows the relationship between the car, the drive sheave, and multiple ropes.

[0037] Figure 29 It is shown Figure 28 A diagram illustrating the state of the car approaching the drive sheave.

[0038] Figure 30 It is shown Figure 28 A cross-sectional view of an example of the wear condition of the grooves in the drive pulley.

[0039] Figure 31 This is a structural diagram showing a first example of the processing circuit that implements the functions of the elevator monitoring device in embodiments 1 to 10.

[0040] Figure 32 This is a structural diagram of a second example showing the processing circuit that implements the functions of the elevator monitoring device in embodiments 1 to 10.

[0041] Label Explanation

[0042] 1: Car; 2: Counterweight; 5: Rope; 7: Drive pulley; 8: Sheave groove; 20: Elevator monitoring device; 22: Wear prediction unit. Detailed Implementation

[0043] The embodiments will now be described with reference to the accompanying drawings.

[0044] Implementation Method 1

[0045] Figure 1 This is a schematic structural diagram of the elevator system according to Embodiment 1. In the figure, the elevator system includes an elevator unit 10, an elevator monitoring device 20, and a maintenance device 30.

[0046] The elevator unit 10 includes a car 1, a counterweight 2, a traction machine 3, a guide sheave 4, multiple ropes 5, and an elevator control device 11. Figure 1 Only one rope is shown in the image.

[0047] The traction machine 3 has a traction machine body 6 and a drive sheave 7. The traction machine body 6 has a traction machine motor (not shown) and a traction mechanism brake (not shown). The traction machine motor rotates the drive sheave 7. The traction mechanism brake keeps the drive sheave 7 stationary. In addition, the traction mechanism brakes the rotation of the drive sheave 7.

[0048] Multiple ropes 5 are wound around the drive pulley 7 and the guide 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.

[0049] The car 1 and counterweight 2 are suspended by multiple ropes 5. Furthermore, the car 1 and counterweight 2 are raised and lowered by rotating the drive pulley 7. The elevator device 10 of Embodiment 1 is a 1:1 rope-winding type elevator device.

[0050] The elevator control device 11 controls the operation of the car 1 by controlling the traction machine 3.

[0051] A first tension measuring device 12 is provided at the end of the multiple ropes 5 on the side near the car 1. A second tension measuring device 13 is provided at the end of the multiple ropes 5 on the side near the counterweight 2. Force sensors can be used, for example, as the first tension measuring device 12 and the second tension measuring device 13.

[0052] Alternatively, accelerometers mounted on the rope 5 can 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. The frequency is then converted into tension, thereby obtaining tension information. The accelerometer can be mounted on the rope 5 only during maintenance and inspection operations, or it can be mounted on the rope 5 at all times.

[0053] A rotation sensor 14 is provided in the traction machine 3. The rotation sensor 14 generates a signal corresponding to the rotation of the drive pulley 7. An encoder may be used as the rotation sensor 14, for example.

[0054] The elevator monitoring device 20 monitors the status of the elevator unit 10. Furthermore, the elevator monitoring device 20 can communicate with the elevator control device 11. Thus, the elevator monitoring device 20 obtains various information related to the status of the elevator unit 10 from the elevator control device 11. Additionally, signals from the rotation sensor 14 are input to the elevator monitoring device 20 via the elevator control device 11.

[0055] The maintenance device 30 is a terminal carried by the maintenance operator during maintenance and inspection work. The maintenance operator can obtain information about the elevator device 10 that is the subject of maintenance and inspection from the maintenance device 30. The maintenance device 30 can be, for example, a laptop, tablet, or smartphone.

[0056] The maintenance device 30 is capable of communicating with the elevator monitoring device 20. In addition, signals from the first tension measuring device 12 and signals from the second tension measuring device 13 are input to the maintenance device 30.

[0057] Figure 2 It shows the action on Figure 1 A diagram illustrating the tension of each of the 5 ropes. In Figure 2 For simplicity, two ropes 5 are shown, but the number of ropes 5 can also be three or more.

[0058] Hereinafter, the portion of each rope 5 that is closer to the car 1 than the drive sheave 7 is referred to as the car-side portion. Furthermore, the portion of each rope 5 that is closer to the counterweight 2 than the drive sheave 7 is referred to as the counterweight-side portion. Additionally, one of the two ropes 5 is designated as the first rope 5a, and the other as the second rope 5b.

[0059] The tensions Tc1 on the car side of the first rope 5a, Tw1 on the counterweight side of the first rope 5a, Tc2 on the car side of the second rope 5b, and Tw2 on the counterweight side of the second rope 5b are all different.

[0060] Normally, when there is no one in the car 1, the weight of the counterweight 2 is greater than the weight of the car 1. In addition, when the car 1 is loaded with a full number of passengers, the weight of the car 1 is greater than the weight of the counterweight 2.

[0061] Therefore, when there is no one in the car 1, the relationship (Tc1 + Tc2) < (Tw1 + Tw2) holds. In addition, when the car 1 is loaded with a full number of passengers, the relationship (Tc1 + Tc2) > (Tw1 + Tw2) holds.

[0062] 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.

[0063] When the drive sheave 7 rotates in the direction to lift the car 1, the car-side portion of the first rope 5a is wound, and the counterweight-side portion of the first rope 5a is fed out. At this time, the elongation amounts of the car-side portion and the counterweight-side portion of the first rope 5a are different from each other.

[0064] Therefore, the first rope 5a is guided by the drive sheave 7 while slightly sliding on the drive sheave 7 with the difference in elongation amounts between the car-side portion and the counterweight-side portion. Such a small sliding amount on the drive sheave 7 is called the creep amount. Moreover, the greater the difference in tension between the car-side portion and the counterweight-side portion, the greater the value of the creep amount.

[0065] Figure 3 It is a perspective view of the drive sheave 7 showing Figure 2 Although omitted in Figure 2 , multiple 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.

[0066] Figure 4 It is a cross-sectional view of the first example of the sheave groove 8 showing Figure 3 In the first example, the cross-section of the bottom surface of the sheave groove 8 is arc-shaped.

[0067] Figure 5 It is a cross-sectional view of the second example of the sheave groove 8 showing Figure 3 In the second example, a bottom cut groove is provided on the bottom surface of the sheave groove 8.

[0068] 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. Therefore, due to the operation of the car 1, the bottom surface of each sheave groove 8 is worn over time, and the depth of each sheave groove 8 gradually becomes larger. In Figure 4 and Figure 5 In the diagram, the initial position of the bottom surface of the sheave groove 8 is indicated by a double-dotted line.

[0069] The greater the surface pressure acting on the bottom surface, the faster the wear on the bottom surface of the sheave groove 8 progresses. Furthermore, the greater the slippage of the rope 5 within the sheave groove 8, the faster the wear on the bottom surface of the sheave groove 8 progresses. That is, the greater the difference between the tension on the car side and the tension on the counterweight side of the rope 5, the greater the creep value, and the faster the wear progresses.

[0070] In addition, the cross-sectional shape of the sheave groove 8 is not limited to the first and second examples, and can also be V-shaped.

[0071] Figure 6 It is shown Figure 1 This is a block diagram of the control system of an elevator system. As a functional block, the elevator control unit 11 includes an operation control unit 11a and a main transceiver unit 11b. The operation control unit 11a controls the operation of the car 1. The main transceiver unit 11b transmits and receives signals with external devices connected to the elevator control unit 11.

[0072] In addition, the elevator control device 11 stores the history of the car 1's operating modes up to the present.

[0073] As a functional block, the maintenance device 30 includes a maintenance transceiver unit 31 and a maintenance display unit 32. The maintenance transceiver unit 31 performs signal transmission and reception with external devices of the maintenance device 30.

[0074] The maintenance device 30 is equipped with a maintenance display (not shown). The maintenance display unit 32 displays information required for the maintenance of the elevator device 10.

[0075] As a functional block, the elevator monitoring device 20 includes a monitoring transceiver unit 21, a wear prediction unit 22, and a monitoring display unit 23. The monitoring transceiver unit 21 transmits and receives signals with external devices of the elevator monitoring device 20.

[0076] The elevator monitoring device 20 is equipped with a monitoring display (not shown). The monitoring display unit 23 displays information required for monitoring the elevator device 10 on the monitoring display.

[0077] The wear prediction unit 22 calculates multiple wear prediction values ​​using a wear prediction formula. These multiple wear prediction values ​​are predictions of future wear amounts generated in multiple sheave grooves 8 within a set period. The wear prediction formula takes as input the tension of the car-side portion and the counterweight-side portion of the multiple ropes 5, the slippage of the multiple ropes 5, and the material hardness of the drive sheave 7.

[0078] Furthermore, the wear prediction unit 22 outputs multiple wear prediction values ​​to the monitoring display unit 23. The monitoring display unit 23 displays the multiple wear prediction values ​​on a monitoring display. Additionally, the wear prediction unit 22 outputs multiple wear prediction values ​​to the maintenance device 30 via the monitoring transceiver unit 21. The maintenance display unit 32 displays the multiple wear prediction values ​​on a maintenance display.

[0079] As an example of a method for displaying multiple wear prediction values, it can also be displayed on a maintenance monitor. Figure 4 or Figure 5 The two-dimensional cross-sectional shape of the pulley groove 8 is shown.

[0080] The wear prediction unit 22 has a storage unit 24. The storage unit 24 stores wear prediction formulas and multiple wear amount prediction values.

[0081] The specific calculation methods for multiple wear prediction values ​​are explained below. The wear prediction formula is as follows.

[0082] Wear amount = (f(slippage, tension, sheave stiffness) / lifting stroke) × reference travel distance

[0083] The wear prediction unit 22 obtains the average 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 tension of the car side portion of each rope 5 is obtained by averaging the tension variation of the car side portion of the car 1 as it travels from the lowest floor to the highest floor.

[0084] Furthermore, the wear prediction unit 22 obtains the average 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 tension of the counterweight side portion of each rope 5 is obtained by averaging the tension variation of the counterweight side portion of each rope 5 as the car 1 travels from the lowest floor to the highest floor.

[0085] Therefore, each average value includes tension variations caused by the movement of car 1.

[0086] During maintenance checks, the maintenance operator measures the average tension of the car-side portion and the average tension of the counterweight portion of each of the multiple ropes 5, and inputs these values ​​into the maintenance device 30. The average tension values ​​can also be sent automatically to the maintenance device 30 without the need for a maintenance operator.

[0087] Furthermore, the average value can be calculated by the first tension measuring device 12 and the second tension measuring device 13, or by the maintenance device 30. Additionally, the wear prediction unit 22 can also calculate the average tension value based on the tension obtained from the first tension measuring device 12 and the second tension measuring device 13.

[0088] Furthermore, the wear prediction unit 22 obtains data related to the rotation amount of the drive sheave 7 and data related to the travel distance of the car 1 from the elevator control device 11. The data related to the rotation amount is the measured value of the rotation amount of the drive sheave 7 up to the present.

[0089] The wear prediction unit 22 calculates the slippage of the rope 5 based on the difference between the rotation of the latest drive pulley 7 and the travel distance of the car 1.

[0090] In addition, the rotation amount of the latest drive pulley 7 and the travel distance of the car 1 can also be obtained by making the car 1 travel back and forth during maintenance and inspection.

[0091] The sheave hardness is the material hardness of the driving sheave 7, which is pre-input into the elevator monitoring device 20 and stored.

[0092] The wear prediction unit 22 inputs the average tension of the car side portion of each rope 5, the average tension of the counterweight side portion of each rope 5, the slippage of the rope 5, and the sheave hardness into the wear prediction formula to calculate multiple wear prediction values.

[0093] In the wear prediction formula, f(slippage, tension, sheave stiffness) is an estimate of the wear generated when the car 1 travels a distance equivalent to that from the lowest to the highest floor once in its current state. Furthermore, f(slippage, tension, sheave stiffness) is a relationship described by functions of the slippage, tension, and sheave stiffness of the rope 5.

[0094] For example, the following relationship can be used as f (slippage, tension, sheave stiffness).

[0095] f(slippage, tension, sheave stiffness) = α × (P(T)L) / H

[0096] Here, P(T) is the surface pressure acting on the sheave groove 8, a function of the tension T. L is the amount of slippage generated when the car 1 travels a distance equivalent to the distance from the bottom floor to the top floor once. H is the sheave stiffness. α is a proportionality constant.

[0097] Furthermore, the reference travel distance is the average travel distance of the car 1 within a set period. The wear prediction unit 22 estimates the amount of wear generated within the set period using a wear prediction formula. The set period is the interval between regular maintenance checks, for example, 3 months. However, the set period is not limited to the interval between maintenance checks and can be set to any period.

[0098] The tension substituted into the right side of the wear prediction formula is used to calculate the surface pressure applied to the sheave groove 8. Therefore, the tension on the car side is obtained by adding the rope weight corresponding to the length of the car side to the data measured by the first tension measuring device 12. Furthermore, the tension on the counterweight side is obtained by adding the rope weight corresponding to the length of the counterweight side to the data measured by the second tension measuring device 13.

[0099] Multiple wear prediction values ​​calculated by the wear prediction unit 22 are sent to the maintenance device 30 and displayed on the maintenance display. The maintenance operator confirms the multiple wear prediction values ​​displayed on the maintenance display. If the wear amount is predicted to exceed the reference level, the regrooving operation to make the depth of each pulley groove 8 uniform will be scheduled for an earlier period than the period exceeding the reference level.

[0100] Therefore, countermeasures can be taken before adverse situations occur due to wear of the pulley groove 8.

[0101] Furthermore, due to the operation of the elevator system, the diameter of each rope 5 decreases over the years. As the diameter of each rope 5 decreases, similar to the wear of the sheave groove 8, the effective diameter of the drive sheave 7 decreases. To distinguish between the wear of the sheave groove 8 and the reduction in the diameter of the rope 5, the estimated wear of the sheave groove 8 is subtracted from the reduction in the diameter of the rope 5 measured during maintenance inspections.

[0102] Figure 7 It is shown Figure 6 The flowchart shows the wear prediction process of the elevator monitoring device 20. After the wear prediction process begins, in step S101, the elevator monitoring device 20 acquires the data to be input into the wear prediction formula.

[0103] Next, in step S102, the elevator monitoring device 20 calculates multiple wear prediction values ​​using a wear prediction formula. Then, in step S103, the elevator monitoring device 20 outputs the multiple wear prediction values ​​to the maintenance device 30. Furthermore, the elevator monitoring device 20 displays the multiple wear prediction values ​​on a monitoring display.

[0104] Figure 8 It indicates that it has been inserted. Figure 2 An illustration of an example of the calculation results of the wear prediction value in the pulley groove 8 of the first rope 5a. Figure 8 The diagram on the left shows the results of the tension measurement on the car side and the counterweight side. Figure 8 The diagram on the right shows the current amount of wear in the pulley groove 8 into which the first rope 5a is inserted and the future amount of wear after the car 1 has traveled for a set period.

[0105] Figure 9It indicates that it has been inserted. Figure 2 An illustration of an example of the calculation results for the predicted wear amount in the pulley groove 8 of the second rope 5b. Figure 9 The diagram on the left shows the results of the tension measurement on the car side and the counterweight side. Figure 9 The diagram on the right shows the current amount of wear in the pulley groove 8 into which the second rope 5b is inserted and the future amount of wear after the car 1 has traveled for a set period.

[0106] exist Figure 8 and Figure 9 In the example, (the average of Tc1 and Tw1) > (the average of Tc2 and Tw2).

[0107] In addition, Figure 8 and Figure 9 In the example, |Tc1-Tw1|>|Tc2-Tw2|. That is, compared with the second rope 5b, the first rope 5a has larger values ​​of surface pressure and creep. The larger the value of creep, the faster the wear of the rope pulley groove 8 progresses. Therefore, in Figure 8 In the graph on the right, the slope of the wear is greater than... Figure 9 The slope of the wear amount in the graph on the right is large.

[0108] like Figure 8 and Figure 9 As shown, the progression of wear can be predicted according to each pulley groove 8.

[0109] The elevator monitoring method of Implementation Method 1 includes a wear prediction step. The wear prediction step is as follows: using a wear prediction formula to calculate the predicted value of the future wear amount generated in multiple sheave grooves 8 within a set period, i.e., the wear amount prediction value.

[0110] In this elevator monitoring device 20 and elevator monitoring method, a wear prediction formula is used to calculate the predicted wear amount, taking the tension on the car side and the counterweight side, the slippage of the multiple ropes 5, and the material hardness of the drive sheave 7 as inputs. Therefore, it is possible to more accurately predict the future wear amount of the multiple sheave grooves 8.

[0111] Furthermore, in the wear prediction formula, the wear prediction unit 22 calculates the surface pressure acting on the multiple sheave grooves 8 using the tension of the multiple ropes 5. Additionally, the wear prediction unit 22 calculates the creep variable as the amount of slippage based on the difference between the rotation amount of the drive sheave 7 and the travel distance of the car 1. Therefore, it is possible to predict the future wear amount of the multiple sheave grooves 8 more accurately.

[0112] Furthermore, the wear prediction unit 22 obtains the average tension of the car-side portion and the average tension of the counterweight-side portion of each of the multiple ropes 5. Then, the wear prediction unit 22 calculates the surface pressure acting on each of the multiple sheave grooves 8, and calculates the wear prediction value related to each of the multiple sheave grooves 8.

[0113] Therefore, it is possible to more accurately predict the future wear of each of the multiple sheave grooves 8. As a result, maintenance operators can also refer to multiple wear prediction values ​​to ease the tension of the rope 5 applied to the sheave grooves 8 that are predicted to wear faster, thus suppressing the imbalance in the progression of wear.

[0114] Furthermore, the average values ​​obtained by the wear prediction unit 22 include tension variations caused by the movement of the car 1. Therefore, it is possible to predict the future wear of each of the multiple sheave grooves 8 more accurately.

[0115] In addition, the elevator monitoring program in Implementation 1 is a program that causes a computer to execute the elevator monitoring method described above.

[0116] Furthermore, generally speaking, programs are stored in a readable form on a storage medium that serves as a recording medium, such as... Figure 32 The memory 202. Furthermore, the processing described in the program read from the storage medium is executed by a computer. The recording medium in Embodiment 1 is a computer-readable recording medium that records the elevator status monitoring program that enables the computer to execute the above-described status monitoring method.

[0117] Implementation Method 2

[0118] Next, the elevator system of Embodiment 2 will be described. The structure of the elevator system of Embodiment 2 is similar to... Figure 1 The same. Furthermore, the control system of the elevator system in Embodiment 2 is the same as... Figure 6 same.

[0119] However, the wear prediction unit 22 of embodiment 2 obtains the average value of the average tension of all car-side portions of the multiple ropes 5 and the average value of the average tension of all counterweight-side portions of the multiple ropes 5 as the tension of the multiple ropes 5 input into the wear prediction formula.

[0120] Figure 10 This is an explanatory diagram showing an example of the calculation results of the wear prediction value in Embodiment 2. Figure 10 The diagram on the left shows the measurement results of the average tension of the entire car side section and the average tension of the entire counterweight side section.

[0121] The average tension is the value obtained by averaging the tension variations of all ropes 5. Figure 10a1 is the average value of the average tension obtained by averaging the tension changes of all car side sections. Figure 10 a2 is the average value of the average tension obtained by averaging the tension variation of the entire counterweight portion.

[0122] Figure 10 The diagram on the right shows the current averaged wear in all sheave grooves 8 and the future averaged wear after the car 1 has traveled for a set period. The averaged wear is the average of the wear of each of the multiple sheave grooves 8.

[0123] In this case, the average values ​​also include tension variations caused by the movement of car 1.

[0124] The other structures and monitoring methods in Implementation 2 are the same as in Implementation 1.

[0125] This structure also allows for more accurate prediction of the future wear of multiple pulley grooves 8. Furthermore, by using the average value of the average tension, the processing becomes simpler.

[0126] The elevator monitoring program of Embodiment 2 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 2. Furthermore, the recording medium of Embodiment 2 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 2.

[0127] Implementation Method 3

[0128] then, Figure 11 This is a block diagram illustrating the control system of the elevator system according to Embodiment 3. In Embodiment 3, tension measurement data is sent 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 sends the tension measurement data to the elevator monitoring device 20 either upon request or automatically.

[0129] Elevator monitoring device 20 may be located, for example, in a maintenance center separate from elevator device 10.

[0130] The other structures and monitoring methods in Implementation 3 are the same as those in Implementation 1 or Implementation 2.

[0131] This structure also allows for more accurate prediction of the future wear of multiple sheave grooves 8.

[0132] The elevator monitoring program of Embodiment 3 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 3. Furthermore, the recording medium of Embodiment 3 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 3.

[0133] Implementation Method 4

[0134] then, Figure 12 This is a block diagram illustrating the control system of the elevator system according to Embodiment 4. In Embodiment 4, tension measurement data is directly transmitted to the elevator monitoring device 20 from the first tension measuring device 12 and the second tension measuring device 13, either upon request from the elevator monitoring device 20 or automatically.

[0135] The other structures and monitoring methods in Implementation 4 are the same as those in Implementation 1 or Implementation 2.

[0136] This structure also allows for more accurate prediction of the future wear of multiple sheave grooves 8.

[0137] The elevator monitoring program of Embodiment 4 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 4. Furthermore, the recording medium of Embodiment 4 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 4.

[0138] Alternatively, in embodiments 1 to 4, either the first tension measuring device 12 or the second tension measuring device 13 may be omitted. For example, if the second tension measuring device 13 is omitted, the tension on the counterweight side can be calculated based on the design value of the weight of the counterweight 2.

[0139] Implementation Method 5

[0140] then, Figure 13 This is a block diagram showing the control system of the elevator system according to Embodiment 5. In Embodiment 5, both the first tension measuring device 12 and the second tension measuring device 13 are not used. Instead, the storage unit 24 pre-stores the average value of the average tension of all car-side portions and the average value of the average tension of all counterweight-side portions in Embodiment 2.

[0141] The average tension across the entire car side is calculated using the formula: car mass / number of ropes. The average tension across the entire counterweight side is calculated using the formula: counterweight mass / number of ropes.

[0142] The wear prediction unit 22 inputs the pre-saved average values ​​into the wear prediction formula and calculates multiple wear prediction values.

[0143] The other structures and monitoring methods in Implementation 5 are the same as in Implementation 2.

[0144] This structure also allows for more accurate prediction of the future wear of multiple pulley grooves 8. Furthermore, by pre-saving the average values, the structure can be simplified, and the labor and time required for tension measurement can be reduced.

[0145] The elevator monitoring program of Embodiment 5 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 5. Furthermore, the recording medium of Embodiment 5 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 5.

[0146] In addition, in embodiments 1 to 5, the signal from the rotation sensor 14 can be sent directly to the elevator monitoring device 20 without going through the elevator control device 11.

[0147] Implementation Method 6

[0148] then, Figure 14 This is a block diagram illustrating the control system of the elevator system according to Embodiment 6. In Embodiment 6, the rotation sensor 14 from Embodiment 1 is omitted.

[0149] The wear prediction unit 22 stores two slip calculation formulas: the first slip calculation formula and the second slip calculation formula. The storage unit 24 stores the first slip calculation formula and the second slip calculation formula. Both slip calculation formulas are formulas for calculating the estimated slip value. The estimated slip value is the estimated slip value of the multiple ropes 5.

[0150] The wear prediction unit 22 uses the slippage estimate as the slippage of the multiple ropes 5 to be input into the wear prediction formula.

[0151] In addition, the wear prediction unit 22 determines which of the two slip calculation formulas to use based on whether the ratio of the tension on the car side to the tension on the counterweight side exceeds the limit traction ratio Γ.

[0152] If the ratio of the tension on the car side to the tension on the counterweight side does not exceed the limit traction ratio Γ, select the following formula for calculating the first slip amount.

[0153]

[0154] Here, we consider the simplest model where a rope is wound around a pulley. Figure 15 This is an illustrative diagram showing an equivalent model of a rope passing over a pulley. Figure 16 It is Figure 15 The illustration shows the equivalent model replaced by a one-dimensional coordinate system.

[0155] A rope model 51 is wound around a pulley model 50. The pulley model 50 rotates counterclockwise as shown in the figure. The direction of movement of the rope model 51 is determined by the direction of rotation of the pulley model 50. Specifically, in Figure 16In the model of rope model 51 in the one-dimensional coordinate system shown, corresponding to the rotation direction of pulley model 50, the winding side and the delivery side of rope model 51 move in the same direction.

[0156] In the equivalent model, such as Figure 15 and Figure 16 Therefore, the rope model 51 is composed of three parts: a winding side, a delivery side, and a part that moves integrally with the pulley model 50. More precisely, the part that moves integrally with the pulley model 50 refers to the part that exists on the pulley model 50 and is capable of moving integrally with the pulley model 50.

[0157] In the following description, variables related to the winding side portion of the rope model 51 are prefixed with the subscript i, meaning "input side". The winding side portion is the part of the rope model 51 that is upstream of the pulley model 50 in the direction of movement of the rope model 51.

[0158] Furthermore, variables related to the output side portion of rope model 51 are prefixed with the subscript "o" to indicate the output side. The output side portion of rope model 51 is the downstream portion of rope model 51 in the direction of movement of rope model 51 compared to pulley model 50.

[0159] When the rope model 51 is wound by a small amount of winding, Δx, through the slight rotation of the pulley model 50, the winding amount Δx is represented by the sum of the rope's free length ΔLi and the rope's elongation Δui. The rope's free length ΔLi is its length in the unstretched state.

[0160] That is, the winding amount Δx is equivalent to the rope displacement under tension, which is the rope displacement (i.e., the free length ΔLi) under no tension, plus the rope elongation based on tension. Additionally, as... Figure 7 As shown, the rope displacement in the untensioned state for the winding side, the delivery side, and the part that moves integrally with the pulley is the same rope free length ΔLi.

[0161] Δx=ΔLi+Δui(1.1)

[0162] The rope elongation Δui on the winding side is calculated based on the tension Ti on the winding side. In contrast, the tension on the delivery side is To; therefore, the rope elongation Δuo on the delivery side is different from the rope elongation Δui on the winding side.

[0163] Therefore, the small slippage of the rope model 51 on the pulley model 50, i.e. the creep variable Δcr, becomes the difference in rope elongation Δuo-Δui relative to the rope free length ΔLi.

[0164] Δcr=Δuo-Δui

[0165] Integrate the creep variable Δcr with the length TR of the lifting stroke starting from 0, and thus calculate the creep variable of car 1 when it travels from the lowest floor to the highest floor.

[0166] On the other hand, when the ratio of the tension on the car side to the tension on the counterweight side exceeds the limit traction ratio Γ, the second slip calculation formula below is selected.

[0167] Slippage estimate = (Tw1(x) - ΓTc1(x)) / (kw(x) + Γkc(x))

[0168] exist Figure 2 In the first rope 5a, when the ratio of the tension on the car side to the tension on the counterweight side exceeds the limit traction ratio Γ, the slippage of the first rope 5a on the drive pulley 7 is calculated using the second slippage calculation formula. Furthermore, 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.

[0169] In response to Figure 2 When calculating the estimated slippage of the second rope 5b, simply substitute Tc2 and Tw2 into the tension term of the second slippage calculation formula.

[0170] The amount of slippage generated when the limit traction ratio Γ is exceeded is greater than the amount of creep generated when the limit traction ratio Γ is not exceeded.

[0171] Figure 17 It is shown Figure 14 The flowchart shows the wear prediction process of the elevator monitoring device 20. After the wear prediction process begins, in step S201, the elevator monitoring device 20 acquires the required data.

[0172] Next, in step S202, the elevator monitoring device 20 determines whether the tension ratio is below the limit traction ratio Γ. If the tension ratio is below the limit traction ratio Γ, that is, if the tension ratio does not exceed the limit traction ratio Γ, in step S203, the elevator monitoring device 20 selects the first slip calculation formula.

[0173] When the tension ratio is not below the limit traction ratio Γ, that is, when the tension ratio exceeds the limit traction ratio Γ, in step S204, the elevator monitoring device 20 selects the second slip calculation formula.

[0174] Then, in step S205, the elevator monitoring device 20 calculates an estimated sliding amount using either the first sliding amount calculation formula or the second sliding amount calculation formula. Then, in step S206, the elevator monitoring device 20 calculates multiple predicted wear amounts using a wear prediction formula.

[0175] Then, in step S207, the elevator monitoring device 20 outputs multiple wear prediction values ​​to the maintenance device 30. Furthermore, the elevator monitoring device 20 displays the multiple wear prediction values ​​on a monitoring display.

[0176] The other structures and monitoring methods in Implementation 6 are the same as those in Implementation 1 or Implementation 2.

[0177] With this structure and monitoring method, it is also possible to more accurately predict the future wear of multiple sheave grooves 8.

[0178] Furthermore, the wear prediction unit 22 uses the slippage estimate calculated using the slippage calculation formula as the slippage amount. Therefore, it is possible to predict the future wear amount of the multiple sheave grooves 8 more accurately.

[0179] Furthermore, the wear prediction unit 22 determines which of the first and second slip calculation formulas to use based on whether the ratio of the tension on the car side to the tension on the counterweight side exceeds the limit traction ratio. Therefore, it is possible to more accurately predict the future wear of the multiple sheave grooves 8 for large slippage of multiple ropes 5 caused by the tension ratio exceeding the limit traction ratio Γ.

[0180] The elevator monitoring program of Embodiment 6 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 6. Furthermore, the recording medium of Embodiment 6 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 6.

[0181] Implementation Method 7

[0182] Next, the elevator system of Embodiment 7 will be described. The structure of the elevator system of Embodiment 7 is similar to... Figure 1 The same. Furthermore, the control system of the elevator system in Implementation 7 is the same as... Figure 6 same.

[0183] In embodiment 7, the tension of each of the multiple ropes 5 on the car side is continuously measured at any given moment by the first tension measuring device 12. Furthermore, the tension of each of the multiple ropes 5 on the counterweight side is continuously measured at any given moment by the second tension measuring device 13.

[0184] The elevator control device 11 stores information on the load inside the car obtained from a weighing device (not shown). Furthermore, the elevator control device 11 stores historical data on the car's travel distance, the car's stopping position, and the load inside the car, respectively, from the time the elevator device 10 was first put into use until the present.

[0185] The wear prediction unit 22 inputs the tension data at any given moment into the wear prediction formula and calculates the instantaneous wear value of each of the multiple sheave grooves 8. In addition, the wear prediction unit 22 accumulates the instantaneous wear values ​​and calculates the predicted wear value of each sheave groove 8.

[0186] Furthermore, 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 car load amount.

[0187] In this way, the constants contained in the wear prediction formula are updated using past data in a manner consistent with the wear slope of the measured values, thereby adjusting the wear prediction formula for each elevator unit 10.

[0188] Figure 18 This is an explanatory diagram illustrating the calculation method for the wear prediction value in Implementation Method 7. In Figure 18 In the middle, it is shown that... Figure 2 The method for calculating the predicted wear value of the sheave groove 8 corresponding to the first rope 5a.

[0189] Figure 18 (a) shows the measured tension of the first rope 5a. When the car 1 is in position P1, the tension on the car side is Tca1, and the tension on the counterweight side is Twa1. Furthermore, when the car 1 is in position P2, the tension on the car side is Tca2, and the tension on the counterweight side is Twa2.

[0190] Thus, assuming the tension varies with the car position, the surface pressure acting on the sheave groove 8 also varies with the car position.

[0191] For example, when car 1 is in position P1, the surface pressure is small, and the instantaneous value of wear becomes Figure 18 (b) Straight line E1. Furthermore, when car 1 is in position P2, compared to when car 1 is in position P1, the surface pressure is greater, and the instantaneous value of wear becomes... Figure 18 The straight line E2 in (b).

[0192] Then, as Figure 18 As shown in (c), based on the accumulation of such instantaneous wear values, the slope of the cumulative wear value is output as E3.

[0193] In Implementation 7, the wear amount is calculated as a wear amount prediction value, assuming that the tendency of the slope E3 from the past to the present will continue in the future.

[0194] Figure 19This is a flowchart illustrating the wear prediction process of the elevator monitoring device 20 according to Embodiment 7. After the wear prediction process begins, in step S301, the elevator monitoring device 20 acquires the latest data. The latest data includes the latest tension data, the latest rotation amount of the drive sheave 7, and the latest travel distance of the car 1.

[0195] Next, in step S302, the elevator monitoring device 20 calculates the instantaneous value of wear amount using a wear prediction formula.

[0196] Then, in step S303, the elevator monitoring device 20 accumulates the instantaneous wear value and estimates the wear amount. Furthermore, the elevator monitoring device 20 updates the parameters of the wear prediction formula based on past state values. Additionally, the elevator monitoring device 20 calculates the change in wear amount based on historical data.

[0197] Then, in step S304, the elevator monitoring device 20 calculates multiple predicted wear values ​​for the future within a set period. Then, in step S305, the elevator monitoring device 20 outputs the multiple predicted wear values ​​to the maintenance device 30. In addition, the elevator monitoring device 20 displays the multiple predicted wear values ​​on a monitoring display.

[0198] The other structures and monitoring methods in Implementation 7 are the same as those in Implementation 1 or Implementation 2.

[0199] With this structure and monitoring method, it is also possible to more accurately predict the future wear of multiple sheave grooves 8.

[0200] Furthermore, the wear prediction unit 22 calculates the instantaneous wear value, accumulates the instantaneous wear value, and calculates the predicted wear value. Therefore, it is possible to more accurately predict the future wear of multiple sheave grooves 8.

[0201] Furthermore, the wear prediction unit 22 updates the parameters of the wear prediction formula based on past state values. Therefore, the wear prediction formula can be optimized for each elevator unit 10, further accurately predicting the future wear of the multiple sheave grooves 8.

[0202] The elevator monitoring program of Embodiment 7 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 7. Furthermore, the recording medium of Embodiment 7 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 7.

[0203] Furthermore, in Embodiment 7, the slip amount to be input into the wear prediction formula can also be the slip amount estimate calculated by the slip amount calculation formula shown in Embodiment 6. In this case, the slip amount calculation formula can also be updated based on past state quantities.

[0204] Implementation Method 8

[0205] Next, the elevator system of Embodiment 8 will be described. The structure of the elevator system of Embodiment 8 is similar to... Figure 1 The same. Furthermore, the control system of the elevator system in Embodiment 8 is the same as... Figure 6 same.

[0206] In embodiment 8, the tension of each of the multiple ropes 5 on the car side is continuously measured at any given moment by the first tension measuring device 12. Furthermore, the tension of each of the multiple ropes 5 on the counterweight side is continuously measured at any given moment by the second tension measuring device 13.

[0207] The measurement results of 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.

[0208] The wear prediction unit 22 stores the tension model, which will be described later. Specifically, the storage unit 24 stores the tension model. The wear prediction unit 22 uses tension analysis values ​​as the tension on the car side and the counterweight side. The tension analysis values ​​are calculated using the tension model.

[0209] The wear prediction unit 22 inputs the measured values ​​from the first tension measuring device 12 and the second tension measuring device 13, as well as the instantaneous wear amount calculated in the same manner as in Embodiment 7, into the tension model. Thus, the wear prediction unit 22 calculates the tension variation analysis values ​​of the car-side portion and the counterweight-side portion of the car 1 when it travels back and forth between the lowest and highest floors as tension analysis values.

[0210] Figure 20 This is a flowchart illustrating the wear prediction process of the elevator monitoring device 20 according to Embodiment 8. After the wear prediction process begins, in step S401, the elevator monitoring device 20 acquires the latest data. The latest data includes the latest tension data, the latest rotation amount of the drive sheave 7, and the latest travel distance of the car 1.

[0211] Next, in step S402, the elevator monitoring device 20 calculates the instantaneous value of wear amount using a wear prediction formula.

[0212] Then, in step S403, the elevator monitoring device 20 accumulates the instantaneous values ​​of wear and estimates the wear amount. Furthermore, the elevator monitoring device 20 updates the parameters of the wear prediction formula based on past state values.

[0213] Next, in step S404, the elevator monitoring device 20 determines whether the amount of wear during the specified period has been calculated.

[0214] If the amount of wear during the specified period is not calculated, then in step S405, the elevator monitoring device 20 adds one step of time to the period Δt. Then, in step S406, the elevator monitoring device 20 uses a tension model to calculate the tension analysis value.

[0215] Then, in step S407, the elevator monitoring device 20 determines whether the tension ratio is below the limit traction ratio Γ. If the tension ratio is below the limit traction ratio Γ, that is, if the tension ratio does not exceed the limit traction ratio Γ, in step S408, the elevator monitoring device 20 selects the first slip calculation formula.

[0216] When the tension ratio is not below the limit traction ratio Γ, that is, when the tension ratio exceeds the limit traction ratio Γ, in step S409, the elevator monitoring device 20 selects the second slip calculation formula.

[0217] Then, in step S410, the elevator monitoring device 20 calculates the estimated value of the sliding amount using the first sliding amount calculation formula or the second sliding amount calculation formula, and returns to the processing in step S403.

[0218] When the amount of wear over the specified period is calculated in step S404, in step S411, the elevator monitoring device 20 outputs multiple wear prediction values ​​to the maintenance device 30. Furthermore, the elevator monitoring device 20 displays the multiple wear prediction values ​​on a monitoring display.

[0219] In this way, the instantaneous wear value of the sheave groove 8 for a pre-specified period is calculated, and the cumulative value of the instantaneous wear value is displayed on the maintenance display of the maintenance device 30 as the predicted wear value of each sheave groove 8.

[0220] The other structures and monitoring methods in Implementation 8 are the same as in Implementation 7.

[0221] With this structure and monitoring method, it is also possible to more accurately predict the future wear of multiple sheave grooves 8.

[0222] Furthermore, the wear prediction unit 22 uses tension analysis values ​​as the tension on the car side and the counterweight side. Therefore, it is possible to predict the future wear of the multiple sheave grooves 8 more accurately.

[0223] The elevator monitoring program of Embodiment 8 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 8. Furthermore, the recording medium of Embodiment 8 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 8.

[0224] The tension model used in Implementation Method 8 will now be explained. The tension model is a model composed of multiple equations of motion, which respectively model the car side and the counterweight side as springs.

[0225] Figure 21 It is Figure 15 The equivalent model is shown in the illustration, which divides the model into a winding side and a delivery side. Figure 21 In this model, the winding side and the delivery side are each modeled as independent springs. Therefore, the force equilibrium condition can be considered for the spring force, i.e., the tension, determined by the displacement difference between the two ends of each spring.

[0226] exist Figure 21 In this equation, yi represents the displacement of the upper end of the winding side portion. Furthermore, yo represents the displacement of the upper end of the delivery side portion. The relationship for the winding side portion at rest, i.e., before winding, is given by the following equation.

[0227] Ti=ki(yi-xi)=(EA / Li)(0-x'i)(1.3)

[0228] 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 section of the rope model 51 perpendicular to the length direction.

[0229] Furthermore, x'i is the initial elongation of the lower end of the wound side portion, and is a negative value. The coordinate system is defined in this case by assuming the upward displacement is positive. The rope stiffness ki of the wound side portion is a function of Young's modulus E, the cross-sectional area A, and the length Li of the wound side portion.

[0230] The wound side is subjected to tension Ti while being wound around the pulley model 50, thus yielding the following relationship.

[0231] Ti=(EA / ΔLi)Δui(1.4)

[0232] When the wound side portion is wound slightly by Δx on pulley model 50, regardless of rope stiffness, as... Figure 16 As shown, the lower end of the wound side rises by Δx. Therefore, the force balance after winding by Δx is given by the following equation.

[0233] Ti=(EA / (Li-ΔLi))(yi-xi)

[0234] =(EA / (Li-ΔLi)){yi-(x'i+Δx)}(1.5)

[0235] The tension Ti of the winding side portion is calculated based on the displacement difference yi-xi between the upper and lower ends of the winding side portion. Furthermore, according to this formula, the relationship that the displacement yi of the upper end of the winding side portion should satisfy is obtained.

[0236] yi=(Ti / EA)(Li-ΔLi)+x'i+Δx(1.6)

[0237] When the above equation is rearranged using equations (1.1), (1.3), and (1.4), the following equation is obtained.

[0238] yi=(Ti / EA)(Li-ΔLi)-(Ti / EA)Li+ΔLi+Δui

[0239] =-(Ti / EA)ΔLi+ΔLi+Δui

[0240] =-Δui+ΔLi+Δui=ΔLi(1.7)

[0241] Therefore, the displacement yi of the upper end of the winding side portion during micro-winding needs to be set as the free rope length ΔLi in the winding amount Δx, rather than the winding amount Δx, i.e., ΔLi + Δui. Thus, the displacement xi of the lower end of the winding side portion becomes the winding amount Δx.

[0242] Next, consider the actions of the two wound sides subjected to different tensions. In a real elevator, the lower ends of the two wound sides are connected to the car 1 or the counterweight 2, and their displacements are the same. Therefore, for the wound side subjected to tension Ti1, which is smaller than tension Ti2, its lower end is pulled upwards excessively, resulting in slack and a decrease in tension. Conversely, for the wound side subjected to tension Ti2, its lower end is pulled downwards, increasing the tension.

[0243] In the model used in this study, the upward pull at the upper ends of the two wound sides is not the same Δx, but rather becomes the free rope lengths ΔLi1 and ΔLi2 on the pulley model 50 corresponding to the tension, which are different from each other. Through the correction of this upward pull, the displacement at the lower ends of the two wound sides becomes Δx.

[0244] Next, the sending side will be explained. According to... Figure 21 The relationship between the stationary portion and the output side is as follows.

[0245] To=ko(yo-xo)=(EA / Lo)(0-x'o)(1.8)

[0246] Here, ko is the rope stiffness of the delivery side, yo is the displacement of the upper end of the delivery side, xo is the displacement of the lower end of the delivery side, Lo is the length of the delivery side, E is the Young's modulus of the rope model 51, and A is the cross-sectional area of ​​the section of the rope model 51 perpendicular to the length direction.

[0247] Furthermore, x'o is the initial elongation of the lower end of the feed-side section, and it is a negative value. The rope stiffness ko of the feed-side section is a function of Young's modulus E, the cross-sectional area A, and the length Lo of the feed-side section.

[0248] With Δx wound on the winding side, the free length ΔLi of the rope on the variable-length pulley model 50 on the delivery side. Furthermore, the free length ΔLi of the rope on the delivery side elongates Δuo due to the tension To on the delivery side.

[0249] To=(EA / ΔLi)Δuo(1.9)

[0250] Therefore, when the rope model 51 is wound slightly around the pulley model 50 by Δx, the lower end of the delivery side portion shifts downward by ΔLi+Δuo. The force balance of the delivery side portion after being wound by Δx is given by the following equation.

[0251] To=(EA / (Lo+ΔLi))(yo-xo)

[0252] =(EA / (Lo+ΔLi)){yo-(x'o-ΔLi-Δuo)}(1.10)

[0253] The tension To on the feed side is calculated based on the displacement difference yo-xo between the upper and lower ends of the feed side. Furthermore, according to this formula, the relationship that the displacement yo at the upper end of the feed side should satisfy is obtained.

[0254] yo=(To / EA)(Lo+ΔLi)+x'o-ΔLi-Δuo(1.11)

[0255] The above equation is rearranged using equations (1.11), (1.8), and (1.9).

[0256] yo=(To / EA)(Lo+ΔLi)-(To / EA)Lo-ΔLi-Δuo

[0257] =(To / EA)ΔLi-ΔLi-Δuo

[0258] =Δuo-ΔLi-Δuo=-ΔLi(1.12)

[0259] According to this formula, the displacement yo at the upper end given to the rope rigidity ko of the delivery side portion needs to be set to the free length of the rope in the winding amount -ΔLi, rather than the winding amount -Δx. As a result, the displacement xo at the lower end of the delivery side portion becomes the delivery amount ΔLi + Δuo.

[0260] In addition, the displacement xo at the lower end of the delivery side portion is ΔLi + Δuo, which is different from the displacement Δxi = ΔLi + Δui at the lower end of the winding side portion. This difference is the creep amount Δcr of the rope model 51 on the pulley model 50.

[0261] Δcr = Δuo - Δui = (ΔLi / EA)(To - Ti)(1.13)

[0262] As Figure 15 shown, the research so far is the formulation in the case where the pulley model 50 rotates counterclockwise along Figure 15 . On the other hand, when considering the relational expression in the case where the pulley model 50 rotates clockwise along Figure 15 , by defining the winding amount Δx as a negative value, the relational expression for counterclockwise rotation can be directly used. However, since the tension in the winding side portion becomes Figure 15 To, it is necessary to replace Ti in equation (1.4) with Figure 15 To.

[0263] In addition, in Figure 15 , a structure is shown in which the rope model 51 is wound around the upper part of the pulley model 50 and the rope model 51 is stretched downward. However, the derived relational expression does not change in the structure where the rope model 51 is wound around the lower part of the pulley model 50 and the rope model 51 is stretched upward.

[0264] Based on the above results, the winding model in which the rope model 51 is wound around the pulley model 50 can be organized as follows.

[0265] · Set the counterclockwise rope displacement on the pulley model 50 as positive and the clockwise rope displacement as negative, and set the sign of the winding amount Δx according to the direction of rotation

[0266] · Define the rope rigidity ki of the winding side portion as the value obtained by dividing the product of the Young's modulus E and the cross-sectional area A of the rope model 51 by the length Li of the winding side portion

[0267] · Define the rope rigidity ko of the delivery side portion as the value obtained by dividing the product of the Young's modulus E and the cross-sectional area A of the rope model 51 by the length Lo of the delivery side portion

[0268] · Set the lengths Li and Lo when obtaining the rope rigidities ki and ko as the free length of the rope where no tension acts on the rope model 51

[0269] The tension Ti on the wound side is defined as the value obtained by multiplying the rope stiffness ki by the displacement difference yi-xi between the upper and lower ends.

[0270] The tension To on the delivery side is defined as the value obtained by multiplying the rope stiffness ko by the displacement difference yo-xo between the upper and lower ends.

[0271] The displacement of the end of the winding side portion near the pulley model 50 is defined as the value obtained by subtracting the rope elongation Δui of the winding side portion from the small winding amount Δx of the rope model 51 on the pulley model 50, and is equivalent to the rope free length ΔLi relative to the winding amount Δx.

[0272] The displacement of the end of the delivery section near the pulley model 50 is defined as the value obtained by subtracting the rope elongation Δui of the winding side section from the small winding amount Δx of the rope model 51 on the pulley model 50, and is equivalent to the rope free length ΔLi relative to the winding amount Δx.

[0273] The rope elongation on the pulley model 50 described above is calculated based on the tension Ti on the winding side.

[0274] then, Figure 22 It is Figure 1 The illustration is shown as a model of an elevator. Figure 22 In the middle, as the simplest model, a model with a 1:1 rope winding method and a single rope is shown.

[0275] The elevator's various elements are modeled as springs and point mass systems. Rope 5 is modeled as a point mass element on the drive pulley 7, while the winding side and the delivery side are modeled as spring elements respectively.

[0276] exist Figure 22 In this context, Js is the inertial torque of the driving pulley 7. Jr is the inertial torque of the rope 5 on the driving pulley 7. Jr is the mass-based inertial torque related to the portion of the rope 5 that moves integrally with the driving pulley 7.

[0277] Mc is the mass of car 1. Mw is the mass of counterweight 2. msc is the mass of the car side hook. msw is the mass of the counterweight side hook. Figure 1 The car-side hook ring and the counterweight-side hook ring are omitted in the original text.

[0278] mrc is the mass of the car-side portion of rope 5. mrw is the mass of the counterweight-side portion of rope 5. The car-side portion is the part of rope 5 located on the car 1 side, relative to the drive sheave 7. The counterweight-side portion is the part of rope 5 located on the counterweight 2 side, relative to the drive sheave 7. These are parameters related to inertia.

[0279] ksc is the stiffness of the car-side hook. ksw is the stiffness of the counterweight-side hook. krc is the stiffness of the car-side portion of rope 5. krw is the stiffness of the counterweight-side portion of rope 5. These are parameters related to the stiffness element.

[0280] 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 hook. xsw is the displacement of the counterweight-side hook. 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.

[0281] The equations of motion expressed by differential equations without considering the decay term based on the decay factor are as follows. Here, d^2 / dt^2 is used as the operator representing the second-order differential operation based on time t.

[0282] Mc(d^2 / dt^2)xc-ksc(xsc-xc)=-Mc g(1.14)

[0283] Mw(d^2 / dt^2)xw-ksw(xsw-xw)=-Mw g(1.15)

[0284] msc(d^2 / dt^2)xsc+ksc(xsc-xc)-krc(xrc-xsc)

[0285] =-msc g(1.16)

[0286] msw(d^2 / dt^2)xsw+ksw(xsw-xw)-krw(xrw-xsw)

[0287] =-msw g(1.17)

[0288] mrc(d^2 / dt^2)xrc+krc(xrc-xsc)-krc(-R1θr-xrc)

[0289] =-mrc g(1.18)

[0290] mrw(d^2 / dt^2)xrw+krw(xrw-xsw)-krw(R1θr-xrw)

[0291] =-mrw g(1.19)

[0292] Js(d^2 / dt^2)θs=τ-λ(1.20)

[0293] Jr(d^2 / dt^2)θr-krcR1(-R1θr-xrc)+krwR1(R1θr-xrw)

[0294] =λ(1.21)

[0295] Additionally, R1 is the radius of the drive pulley 7. g is the acceleration due to gravity. τ is the driving torque applied to the drive pulley 7. λ is the constraint torque acting between the drive pulley 7 and the rope 5.

[0296] On the drive pulley 7, the drive pulley 7 and the rope 5 move together within the range of the limiting traction ratio Γ. The limiting traction ratio Γ is given as a function of the coefficient of friction between the drive pulley 7 and the rope 5 and the winding angle of the rope 5 relative to the drive pulley 7.

[0297] At this point, the condition and constraint equation satisfying the ratio of the tension Ti on the winding side of rope 5 to the tension To on the delivery side are given by the following equation. Here, d / dt is used as the operator representing the first-order differential operation based on time t.

[0298] (1 / Γ)<(To / Ti)<Γ(1.22)

[0299] (d / dt)θs-(d / dt)θr=0(1.23)

[0300] The constraint torque λ acts as a force satisfying the above equation on the drive pulley 7 and the rope 5. On the other hand, when the tension ratio To / Ti exceeds the limit traction ratio Γ, the rope 5 slides relative to the drive pulley 7 while friction is applied, thus creating a difference in the rotational speed of the drive pulley 7 and the rope 5.

[0301] (d / dt)θs-(d / dt)θr≠0(1.24)

[0302] Next, when the car 1 descends, that is, when the drive sheave 7 moves along... Figure 22 The action of counterclockwise rotation will be explained. Consider the equilibrium state at time t+Δt after a small time Δt from the equilibrium state at time t. During the small time Δt of the descent of car 1, the amount of winding Δx on drive sheave 7 is given by the following formula.

[0303] Δx=R1Δθr=ΔL+Δu(1.25)

[0304] Here, ΔL is the free length of the rope relative to the small winding amount Δx when the car 1 descends, that is, the rope length in the state without tension. In addition, Δu is the rope elongation relative to the small winding amount Δx when the car 1 descends.

[0305] Each sheave groove 8 is cut by the rope 5 over the years. The radius R1 is the radius of the drive sheave 7 in each sheave groove 8. Therefore, when the amount of cutting in the multiple sheave grooves 8 is different from each other, the radius R1 varies slightly according to the sheave groove 8.

[0306] Due to this difference in radius R1, a difference in the amount of winding occurs, resulting in a tension difference between the multiple ropes 5.

[0307] When the tension acting on the counterweight side of rope 5 is Tw, Δu satisfies the following equation.

[0308] Tw=(EA / ΔL)Δu→Δu=(Tw / EA)ΔL(1.26)

[0309] Therefore, the free length ΔL of the rope can be calculated based on the small amount of winding Δx.

[0310] Δx=(1+(Tw / EA))ΔL→ΔL=Δx / (1+(Tw / EA))(1.27)

[0311] According to this formula, the length Lc of the car side portion of rope 5 and the length Lw of the counterweight side portion of rope 5 are given by the following formulas.

[0312] Lo(t+Δt)=Lc(t+Δt)=Lc(t)+ΔL,

[0313] Li(t+Δt)=Lw(t+Δt)=Lw(t)-ΔL(1.28)

[0314] The amount of winding at time t+Δt, the corresponding free length of the rope, and the amount of rope elongation are given by the following formulas.

[0315] x(t+Δt)=x(t)+Δx,

[0316] L(t+Δt)=L(t)+ΔL,

[0317] u(t+Δt)=u(t)+Δu(1.29)

[0318] The amount of rope winding by the drive pulley 7, x(t+Δt)=Rθr(t+Δt), includes the rope elongation. However, in order to calculate the tension generated on the winding side and the delivery side of the rope 5, Rθr is not used directly as the winding amount, but needs to be set as the free length L of the rope.

[0319] The free length L of the rope can be calculated using the following formula.

[0320] x(t+Δt)=R1θr(t+Δt)

[0321] =L(t+Δt)+u(t+Δt)→L=R1θr-u(1.30)

[0322] Therefore, the tension Ti generated on the winding side of rope 5 is given by the following formula.

[0323] Ti = Tw = ki(L - xrw)

[0324] =krw(L-xrw)=krw(R1θr-u-xrw)(1.31)

[0325] Furthermore, the tension To generated on the delivery side of rope 5 is given by the following formula.

[0326] To=ko(-L-xrc)

[0327] =krc(-L-xrc)=krc(-R1θr+u-xrc)(1.32)

[0328] Based on these equations, the portion of the winding amount in the equations of motion (1.18), (1.19), and (1.21) is modified as follows.

[0329] R1θr→R1θr-u(1.33)

[0330] Next, when the car 1 rises, that is, when the drive sheave 7 moves along... Figure 21 The action during clockwise rotation will be explained. In the case of a small time Δt during the ascent of car 1, the amount of winding Δx on the drive sheave 7 is given by the following formula. Furthermore, let... Figure 21 The counterclockwise rotation is positive; therefore, along the drive pulley 7... Figure 21 When the rotation is clockwise, the winding amount Δx becomes negative.

[0331] Δx=R1θr=ΔL+Δu(1.34)

[0332] Here, Δu is the rope elongation relative to the small winding amount Δx when the car 1 rises, and it is a negative value.

[0333] When the tension acting on the car side of rope 5 is Tc, Δu satisfies the following formula.

[0334] Tc=(EA / ΔL)Δu→Δu=(Tc / EA)ΔL(1.35)

[0335] Therefore, the free length ΔL of the rope can be calculated based on the small amount of winding Δx.

[0336] Δx=(1+(Tc / EA))ΔL→ΔL=Δx / (1+(Tc / EA))(1.36)

[0337] According to this formula, the length Lc of the car side portion of rope 5 and the length Lw of the counterweight side portion of rope 5 are given by the following formulas.

[0338] Li(t+Δt)=Lc(t+Δt)=Lc(t)+ΔL,

[0339] Lo(t+Δt)=Lw(t+Δt)=Lw(t)-ΔL(1.37)

[0340] Here, the free length ΔL is negative, therefore, the rope length on the car side decreases, while the rope length on the counterweight side increases.

[0341] The free length L of the rope when the car 1 is rising can be calculated using the following formula.

[0342] x(t+Δt)=R1θr(t+Δt)

[0343] =L(t+Δt)+u(t+Δt)→L=R1θr-u(1.38)

[0344] Therefore, the tension Ti generated on the winding side of rope 5 is given by the following formula.

[0345] Ti = Tc = ki(-L-xrc)

[0346] =krc(-L-xrc)=krc(-R1θr+u-xrc)(1.39)

[0347] Furthermore, the tension To generated on the delivery side of rope 5 is given by the following formula.

[0348] To = ko(L-xrw)

[0349] =krw(L-xrw)=krw(R1θr-u-xrw)(1.40)

[0350] Based on these equations, the portion of the winding amount in the equations of motion (1.18), (1.19), and (1.21) is modified as follows.

[0351] R1θr→R1θr-u(1.41)

[0352] Based on the above results, the tension model, as a generalized model of rope winding, can be defined as follows. Furthermore, in this specification and claims, the analytical model related to rope tension is simplified and referred to as the tension model.

[0353] Regardless of the direction of travel of 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 lengths of the winding side and the delivery side are calculated based on the free length ΔL of the rope.

[0354] Lc(t+Δt)=Lc(t)+ΔL, Lw(t+Δt)=Lw(t)-ΔL(1.42)

[0355] Here, ΔL satisfies the following equation.

[0356] When the car is descending: ΔL = (1.27) When the car is ascending: ΔL = (1.36) (1.43)

[0357] The portion of the winding amount in the equations of motion (1.18), (1.19), and (1.21) is modified as shown in the following equation.

[0358] R1θr→L=R1θr-u(1.44)

[0359] As shown in equations (1.27) and (1.36), the free length ΔL of the rope is a function of the amount of winding Δx and the tension Ti of the winding side portion.

[0360] Here, the relationship between the small time of the correction amount u becomes the following formula.

[0361] u(t+Δt)=u(t)+Δu(1.45)

[0362] When the car is descending: Δu = (1.26) When the car is ascending: Δu = (1.35) (1.46)

[0363] As shown in equations (1.26) and (1.35), the rope elongation Δu is a value proportional to the rope's free length ΔL and the tension Ti of the wound side portion.

[0364] The above relationship also holds true when there is more than one pulley in addition to the drive pulley 7 which serves as the rope pulley, and it also holds true regardless of the number of ropes 5.

[0365] Next, as an example, calculation results are shown in a 1:1 rope winding elevator, where two ropes 5 are wound in a single loop around the drive pulley 7. In the following calculations, the tension of the two ropes 5 is determined by varying the car position, with the depths of the two pulley grooves 8 being equal and the depths being different.

[0366] Figure 23 This is a diagram showing the relationship between the tension of the two ropes 5 and the car position when the depths of the two sheave grooves 8 are equal. Figure 24 This is a diagram showing the relationship between the tension of the two ropes 5 and the car position when there is a 0.2mm difference in the depth of the two sheave grooves 8. Figure 25 The figure shows the relationship between the calculated tension of the two ropes 5 and the car position when there is a 0.7mm difference in the depth of the two rope grooves 8, and multiple measured values.

[0367] exist Figure 23 , Figure 24 and Figure 25In this diagram, car 1 travels back and forth between the top and bottom floors. Furthermore, Car1 shows the tension on the car-side portion of one rope 5. Car2 shows the tension on the car-side portion of another rope 5.

[0368] CWT1 shows the tension on the counterweight side of one rope 5. CWT2 shows the tension on the counterweight side of another rope 5. Furthermore, the measured values ​​of each tension are obtained by measuring the tension acting on the hook spring.

[0369] When the depths of the two pulley grooves 8 are equal, such as Figure 23 As shown, the tension is a fixed value regardless of the car's position.

[0370] On the other hand, the different depths of the two sheave grooves 8 correspond 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 the depths of the two sheave grooves 8, such as... Figure 24 As shown, the tension during the ascent and descent of car 1 depict different trajectories. Figure 24 In the middle, the sheave groove 8 corresponding to Car1 and CWT1 is deeper than the sheave groove 8 corresponding to Car2 and CWT2.

[0371] Assuming the winding amount is calculated using a model that does not consider rope elongation, even with the same groove depth, the tension varies with the car position due to the difference in the initial elongation of the rope, which represents the deviation in initial tension. Therefore, the result differs from the actual tension behavior, which does not change with the car position.

[0372] When the difference in depth between the two pulley grooves 8 increases, the tension ratio between the winding side and the delivery side exceeds the limit traction ratio Γ, and the rope 5 slips relative to the drive pulley 7. Figure 25 As shown, the slope of the tension variation changes midway. According to... Figure 25 It can be seen that, according to the analysis method of Implementation Method 1, tension variation can be calculated with high precision, including rope sliding motion.

[0373] The limiting traction ratio Γ is a function of the coefficient of friction between the drive pulley 7 and the rope 5. Therefore, when the coefficient of friction changes, the limiting traction ratio Γ also changes. This change in the limiting traction ratio Γ is manifested as a shift in the inflection point of the change in the slope of the tension variation. Therefore, by determining the amount of this shift in the inflection point, the change in the coefficient of friction can also be calculated.

[0374] Furthermore, the tension measured by the first tension measuring device 12 and the second tension measuring device 13 can also be the tension measured at any position where the car 1 is stopped within the hoistway. According to the elevator monitoring device 20 of Embodiment 8, the tension outside the measurement position can be calculated as a tension analysis value using a tension model.

[0375] Furthermore, the tension measured by the first tension measuring device 12 and the second tension measuring device 13 can also be a continuous tension measured while the car 1 is moving. In this case, the travel range of the car 1 can be between the lowest and highest floors, or between any two points.

[0376] Furthermore, in Embodiment 8, the first tension measuring device 12 and the second tension measuring device 13 can be permanent sensors or sensors installed only during maintenance checks. In the elevator monitoring device 20 of Embodiment 8, information on tension measured during maintenance checks, car travel distance, car position, and car load are input into the tension model, thereby enabling the calculation of tension analysis values ​​and multiple wear prediction values.

[0377] also, Figure 26 This is a flowchart illustrating the wear prediction process of the elevator monitoring device 20 according to a modified example of Embodiment 8. In this modified example, [details omitted]. Figure 20 The processing of steps S407 to S410 in the process.

[0378] In this way, the determination related to the ultimate traction ratio Γ can also be omitted.

[0379] Furthermore, in implementation method 8, with Figure 14 Similarly, in Embodiment 6 shown, the rotation sensor 14 can also be omitted. In this case, the slip estimate is calculated in the same manner as in Embodiment 6.

[0380] Implementation Method 9

[0381] then, Figure 27 This is a schematic structural diagram of the elevator system according to Embodiment 9. The elevator device 10 of Embodiment 9 is a machine-room-less elevator with a 2:1 rope winding method. The traction machine 3 is installed at the top of the shaft. The elevator control device 11 is installed inside the shaft.

[0382] A car sheave 1a, which functions as a rope pulley, is provided in the car 1. A counterweight sheave 2a, which functions as a rope pulley, is provided in the counterweight 2.

[0383] A car-side rope end (not shown) and a counterweight-side rope end (not shown) are provided at the top of the hoistway. The first end of each rope 5 is connected to the car-side rope end. The second end of each rope 5 is connected to the counterweight-side rope end.

[0384] Each rope 5 is wound sequentially around the car sheave 1a, the drive sheave 7, and the counterweight sheave 2a, starting from the first end. The first tension measuring device 12 is located at the first end. The second tension measuring device 13 is located at the second end.

[0385] Each rope 5 has a first part, a second part, a third part, and a fourth part. The first part is the section between the car-side rope end and the car sheave 1a. The second part is the section between the car sheave 1a and the drive sheave 7. The third part is the section between the drive sheave 7 and the counterweight sheave 2a. The fourth part is the section between the counterweight sheave 2a and the counterweight-side rope end.

[0386] Tension Tca acts in the first part due to the weight of car 1. Tension Tcm acts in the second part due to the weight of car 1. Tension Twm acts in the third part due to the weight of counterweight 2. Tension Twa acts in the fourth part due to the weight of counterweight 2.

[0387] Tension Tca is measured by the first tension measuring device 12. Tension Twa is measured by the second tension measuring device 13.

[0388] Tension models can be used as tension analysis values ​​to calculate tension Tcm and tension Twm. Alternatively, tension Tcm and tension Twm can be measured during maintenance checks using a rapping method, or using removable sensors.

[0389] The control system of the elevator system in Embodiment 9 is the same as that in Embodiment 8. Furthermore, the calculation method for multiple wear prediction values ​​is the same as in Embodiment 8.

[0390] For elevator devices 10 with such a 2:1 rope winding method, the future wear of multiple sheave grooves 8 can be predicted more accurately.

[0391] The elevator monitoring program of Embodiment 9 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 9. Furthermore, the recording medium of Embodiment 9 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 9.

[0392] Implementation Method 10

[0393] Next, Embodiment 10 will be described. The elevator system of Embodiment 10 is similar to... Figure 1 The control system of the elevator system in Embodiment 10 is the same as that in any of Embodiments 1 to 8.

[0394] Figure 28 This is an explanatory diagram schematically showing the relationship between the car 1, the drive pulley 7, and the multiple ropes 5. Figure 29 It is shown Figure 28 A diagram illustrating the state of the car 1 approaching the drive sheave 7. Figure 28 and Figure 29 As an example, 3 ropes are shown.

[0395] The wear prediction unit 22 of embodiment 10 stores the rope angle relationship shown below. That is, the storage unit 24 stores the rope angle relationship. The rope angle relationship shows the relationship between the angle θ(t) of the rope 5 relative to the vertical direction, the vertical distance L(t) from the drive sheave 7 to the car 1 side end of the rope 5, and the horizontal offset d of the car 1 side end of the rope 5 relative to the sheave groove 8. The angle θ(t) is also called the rope deflection angle.

[0396] θ(t)=tan -1 (d / L(t))

[0397] The horizontal displacement of car 1 is limited by a pair of car guide rails (not shown), therefore, the offset d is a fixed value independent of the car position. That is, Figure 28 The offset d in is related to Figure 29 The offset d in the text is the same value.

[0398] On the other hand, the distance L(t) and angle θ(t) vary depending on the car's position. When car 1 moves from a lower floor to an upper floor, the value of distance L(t) decreases and the value of angle θ(t) increases. Conversely, when car 1 moves from an upper floor to a lower floor, the value of distance L(t) increases and the value of angle θ(t) decreases.

[0399] The angle θ(t) varies depending on the car position; therefore, the direction of the surface pressure acting on the sheave groove 8 also varies depending on the car position. When the direction of the surface pressure changes, the direction of wear in the sheave groove 8 also changes. The angle θ(t) corresponds to the direction of wear progression.

[0400] Figure 30 It is shown Figure 28 A cross-sectional view showing an example of the wear condition of each sheave groove 8 in the drive sheave 7. Each sheave groove 8 wears from the initial state shown by the double-dotted line to the state shown by the solid line. The direction of wear progression in each sheave groove 8 is indicated by the arrows.

[0401] In Embodiment 10, the wear prediction unit 22 estimates the direction of wear progression using a rope angle relationship for the instantaneous wear amount calculated by the wear prediction formula. Furthermore, when calculating the cumulative value of the instantaneous wear amount, the wear prediction unit 22 includes the angle θ(t) of wear progression in its calculations. Then, the wear prediction unit 22, for example, uses... Figure 30 The two-dimensional cross-sectional shape shown is output to the maintenance device 30 along with multiple wear prediction values.

[0402] In this case, the maintenance device 30 displays on the maintenance display. Figure 30 The elevator exhibits a two-dimensional cross-sectional shape as shown. Furthermore, the elevator monitoring device 20 displays this shape on a monitoring monitor. Figure 30 The two-dimensional cross-sectional shape shown is illustrated.

[0403] The structure and monitoring method in Implementation 10 are the same as any of the implementations 1 to 9.

[0404] This structure also allows for more accurate prediction of the future wear of multiple sheave grooves 8.

[0405] Furthermore, the wear prediction unit 22 uses rope angle relationships to estimate the future wear progression direction in the multiple sheave grooves 8. Therefore, it is possible to predict the future wear condition more accurately for each sheave groove 8.

[0406] The elevator monitoring program of Embodiment 10 is a program that causes a computer to execute the monitoring method of the elevator monitoring device 20 of Embodiment 10. Furthermore, the recording medium of Embodiment 10 is a computer-readable recording medium that records the elevator monitoring program of Embodiment 10.

[0407] Alternatively, in embodiments 6 to 10, either the first tension measuring device 12 or the second tension measuring device 13 may be omitted. For example, if the second tension measuring device 13 is omitted, the tension on the counterweight side can be calculated based on the design value of the weight of the counterweight 2.

[0408] Furthermore, in embodiments 6 to 10, the measurement data from the first tension measuring device 12 and the second tension measuring device 13 can also be sent to the elevator monitoring device 20 via the elevator control device 11 without going through the maintenance device 30.

[0409] Furthermore, in embodiments 6 to 10, the measurement data from the first tension measuring device 12 and the second tension measuring device 13 can also be sent directly to the elevator monitoring device 20 without passing through the maintenance device 30.

[0410] Furthermore, in embodiments 7 to 10, the signal from the rotation sensor 14 can also be sent directly to the elevator monitoring device 20 without going through the elevator control device 11.

[0411] Furthermore, the rope in this disclosure is a rope in a broad sense, including, for example, a belt for suspending a car.

[0412] Furthermore, the pulleys in this disclosure are not limited to the drive pulley 7.

[0413] Furthermore, the elevator device disclosed herein can also be an elevator with a machine room, an elevator without a machine room, a double-decker elevator, or an elevator with a single shaft and multiple cars. In a single shaft and multiple-car configuration, the upper car and the lower car, located directly below the upper car, move independently within a shared shaft.

[0414] Furthermore, in embodiments 1 to 10, the elevator monitoring device 20 can be a standalone device or it can be embedded in other devices as part of the functionality of other devices. Examples of such other devices include the maintenance device 30 or the elevator control device 11.

[0415] In addition, the elevator monitoring device 20 can also be installed on the cloud, server, etc. on the communication network.

[0416] Furthermore, each function of the elevator monitoring device 20 in embodiments 1 to 10 is implemented by a processing circuit. Figure 31 This is a structural diagram showing a first example of the processing circuitry that implements the functions of the elevator monitoring device 20 in embodiments 1 to 10. The processing circuitry 100 in the first example is dedicated hardware.

[0417] Furthermore, the processing circuit 100 may be a single circuit, a composite circuit, a programmable processor, a parallel programmable processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. Additionally, the various functions of the elevator monitoring device 20 can be implemented separately by individual processing circuits 100, or all functions can be implemented uniformly by processing circuit 100.

[0418] also, Figure 32 This is a structural diagram showing a second example of the processing circuitry that implements the functions of the elevator monitoring device 20 in embodiments 1 to 10. The processing circuitry 200 in the second example includes a processor 201 and a memory 202.

[0419] As a processor 201, for example, a CPU (Central Processing Unit), GPU (Graphics Processing Unit), microprocessor, microcontroller, or DSP (Digital Signal Processor) can be used.

[0420] In the processing circuit 200, the various functions of the elevator monitoring device 20 are implemented through software, firmware, or a combination of software and firmware. The software and firmware are described as programs and stored in the memory 202. The processor 201 reads and executes the programs stored in the memory 202, thereby implementing the various functions.

[0421] Alternatively, the program stored in memory 202 can be described as a program that causes the computer to execute the steps or methods described above. Here, memory 202 can be, for example, non-volatile or volatile semiconductor memory such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (Electrically Erasable and Programmable Read Only Memory). Furthermore, hard disks, floppy disks, optical disks, high-density disks, mini-disks, and DVDs also correspond to memory 202.

[0422] In addition, some of the functions of the above-mentioned parts can be implemented through dedicated hardware, while others can be implemented through software or firmware.

[0423] In this way, the processing circuit can implement the functions of the above-mentioned parts through hardware, software, firmware, or a combination thereof.

[0424] The preferred embodiments have been described in detail above. However, the embodiments described above are not limited to those described above. Various modifications and substitutions can be made to the embodiments described above without departing from the scope of the claims.

[0425] The various methods disclosed herein are hereby uniformly recorded as appendices.

[0426] (Postscript 1)

[0427] An elevator monitoring device, wherein,

[0428] The elevator monitoring device has a wear prediction unit that uses a wear prediction formula to calculate the predicted amount of future wear generated in multiple sheave grooves within a set period, i.e., the wear prediction value. The wear prediction formula takes 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 slippage of the multiple ropes, and the material hardness of the sheave as inputs.

[0429] (Postscript 2)

[0430] According to the elevator monitoring device described in Appendix 1, wherein...

[0431] The wear prediction unit obtains the average tension of the car-side portion and the average tension of the counterweight-side portion of each of the multiple ropes.

[0432] The wear prediction unit calculates the surface pressure acting on each of the plurality of sheave grooves.

[0433] The wear prediction unit calculates the predicted wear amount associated with each of the plurality of sheave grooves.

[0434] (Note 3)

[0435] According to the elevator monitoring device described in Appendix 1, wherein...

[0436] The wear prediction unit obtains the average average tension of all the car-side portions of the multiple ropes and the average average tension of all the counterweight-side portions of the multiple ropes.

[0437] (Postscript 4)

[0438] According to the elevator monitoring device described in Appendix 2 or 3, wherein...

[0439] Each of the aforementioned average values ​​includes tension variations based on the movement of the car.

[0440] (Note 5)

[0441] The elevator monitoring device according to any one of Appendices 1 to 4, wherein,

[0442] The wear prediction unit uses the tension of the multiple ropes in the wear prediction formula to calculate the surface pressure acting on the multiple sheave grooves.

[0443] The wear prediction unit calculates the creep variable, which is the amount of slippage, based on the difference between the rotation of the sheave and the travel distance of the car.

[0444] (Note 6)

[0445] The elevator monitoring device according to any one of Appendices 1 to 4, wherein,

[0446] The wear prediction section stores the slip calculation formula.

[0447] The wear prediction unit uses the slip amount estimate calculated using the slip amount calculation formula as the slip amount.

[0448] (Note 7)

[0449] According to the elevator monitoring device described in Appendix 6, wherein...

[0450] The wear prediction unit stores a first slip amount calculation formula and a second slip amount calculation formula as the slip amount calculation formula.

[0451] The wear prediction unit determines which of the first slip calculation formula and the second slip calculation formula to select based on whether the ratio of the tension on the car side to the tension on the counterweight side exceeds the limit traction ratio.

[0452] (Note 8)

[0453] The elevator monitoring device according to any one of Appendices 1 to 7, wherein,

[0454] The wear prediction unit inputs the real-time tension data as the tension of the car side and the counterweight side into the wear prediction formula, calculates the instantaneous wear value of the multiple sheave grooves, accumulates the instantaneous wear value, and calculates the wear prediction value.

[0455] (Note 9)

[0456] The elevator monitoring device according to any one of Appendices 1 to 8, wherein,

[0457] The wear prediction unit updates the parameters of the wear prediction formula based on past state parameters including past tension data, past rotation of the sheave, and past wear amount.

[0458] (Postscript 10)

[0459] The elevator monitoring device according to any one of Appendices 1 to 9, wherein...

[0460] The wear prediction unit uses the tension analysis value calculated using a tension model as the tension of the car side section and the counterweight side section.

[0461] The tension model is a model composed of multiple equations of motion, which respectively model the car side and the counterweight side as springs.

[0462] (Postscript 11)

[0463] The elevator monitoring device according to any one of Appendices 1 to 10, wherein,

[0464] The wear prediction unit stores rope angle relationships that calculate the angles of each rope depending on the car position.

[0465] The wear prediction unit uses the rope angle relationship to estimate the future wear progression direction in the plurality of sheave grooves.

[0466] (Postscript 12)

[0467] An elevator monitoring method, wherein,

[0468] The elevator monitoring method includes the following wear prediction step: using a wear prediction formula to calculate the predicted value of future wear generated in multiple sheave grooves within a set period, i.e., the wear prediction value, which takes the tension of the car-side portion and the tension of the counterweight portion of the multiple ropes suspending the car and counterweight, the slippage of the multiple ropes, and the material hardness of the sheave as inputs.

[0469] (Postscript 13)

[0470] An elevator monitoring program, wherein,

[0471] The elevator monitoring program causes the computer to execute the elevator monitoring method described in Appendix 12.

[0472] (Postscript 14)

[0473] A recording medium, wherein,

[0474] The recording medium records an elevator monitoring program that causes a computer to execute the elevator monitoring method described in Appendix 12.

Claims

1. An elevator monitoring device, wherein, The elevator monitoring device has a wear prediction unit that uses a wear prediction formula to calculate the predicted amount of future wear generated in multiple sheave grooves within a set period, i.e., the wear prediction value. The wear prediction formula takes 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 slippage of the multiple ropes, and the material hardness of the sheave as inputs.

2. The elevator monitoring device according to claim 1, wherein, The wear prediction unit obtains the average tension of the car-side portion and the average tension of the counterweight-side portion of each of the multiple ropes. The wear prediction unit calculates the surface pressure acting on each of the plurality of sheave grooves. The wear prediction unit calculates the predicted wear amount associated with each of the plurality of sheave grooves.

3. The elevator monitoring device according to claim 1, wherein, The wear prediction unit obtains the average average tension of all the car-side portions of the multiple ropes and the average average tension of all the counterweight-side portions of the multiple ropes.

4. The elevator monitoring device according to claim 2 or 3, wherein, Each of the aforementioned average values ​​includes tension variations based on the movement of the car.

5. The elevator monitoring device according to any one of claims 1 to 4, wherein, The wear prediction unit uses the tension of the multiple ropes in the wear prediction formula to calculate the surface pressure acting on the multiple sheave grooves. The wear prediction unit calculates the creep variable, which is the amount of slippage, based on the difference between the rotation of the sheave and the travel distance of the car.

6. The elevator monitoring device according to any one of claims 1 to 4, wherein, The wear prediction section stores the slip calculation formula. The wear prediction unit uses the slip amount estimate calculated using the slip amount calculation formula as the slip amount.

7. The elevator monitoring device according to claim 6, wherein, The wear prediction unit stores a first slip amount calculation formula and a second slip amount calculation formula as the slip amount calculation formula. The wear prediction unit determines which of the first slip calculation formula and the second slip calculation formula to select based on whether the ratio of the tension on the car side to the tension on the counterweight side exceeds the limit traction ratio.

8. The elevator monitoring device according to any one of claims 1 to 7, wherein, The wear prediction unit inputs the real-time tension data as the tension of the car side and the counterweight side into the wear prediction formula, calculates the instantaneous wear value of the multiple sheave grooves, accumulates the instantaneous wear value, and calculates the wear prediction value.

9. The elevator monitoring device according to any one of claims 1 to 8, wherein, The wear prediction unit updates the parameters of the wear prediction formula based on past state parameters including past tension data, past rotation of the sheave, and past wear amount.

10. The elevator monitoring device according to any one of claims 1 to 9, wherein, The wear prediction unit uses the tension analysis value calculated using a tension model as the tension of the car side section and the counterweight side section. The tension model is a model composed of multiple equations of motion, which respectively model the car side and the counterweight side as springs.

11. The elevator monitoring device according to any one of claims 1 to 10, wherein, The wear prediction unit stores rope angle relationships that calculate the angles of each rope depending on the car position. The wear prediction unit uses the rope angle relationship to estimate the future wear progression direction in the plurality of sheave grooves.

12. An elevator monitoring method, wherein, The elevator monitoring method includes the following wear prediction step: using a wear prediction formula to calculate the predicted value of future wear generated in multiple sheave grooves within a set period, i.e., the wear prediction value, which takes the tension of the car-side portion and the tension of the counterweight portion of the multiple ropes suspending the car and counterweight, the slippage of the multiple ropes, and the material hardness of the sheave as inputs.

13. A recording medium, wherein, The recording medium records an elevator monitoring program that causes a computer to execute the elevator monitoring method of claim 12.

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