Elevator status monitoring method, status monitoring program, recording medium, and status monitoring device.

Abstract

This elevator state monitoring method includes a tension calculation step for calculating the tension of a plurality of ropes, respectively, using a tension model comprising multiple equations of motion. The tension model has: as input data, discrete tension data including actual measurement values of the tension of each rope, and a plurality of parameters; and as output data, continuous tension data. In the tension model, the displacement amount given to the pulley-side end at each winding-side part and each feeding-side part is the free rope length, which is a value obtained by subtracting from the pulley winding amount the rope extension amount in the winding amount .

Description

Technical Field

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

Background Art

[0002] In a conventional elevator rope elongation detection device, for each of a plurality of elevator ropes, the current tension measured by a rope tension measuring device is compared with the tension in a normal state stored in a storage unit. Then, when the difference between the current tension and the tension in the normal state is equal to or greater than a specified value, the rope slip determination unit determines that slip has occurred in the elevator rope (see, for example, Patent Document 1).

[0003] Patent Document 1 discloses a formulation regarding the tension of a main rope modeled by a single spring, similar to Non-Patent Documents 1 and 2. The rope modeling technology disclosed in these documents has an advantage in that, compared with a modeling technology that divides a rope into a large number of elements, for example, the computational load in simulation calculations is reduced and it is efficient.

[0004] However, on the other hand, the rope modeling technology using a single spring has a drawback that, for example, as in Non-Patent Document 2, the simulation accuracy of rope tension is not sufficient. That is, the difference between the measured value and the simulation result regarding rope tension remains a problem.

[0005] Here, "modeling" means, for example, deriving a model expressed by a mathematical formula, a program, etc. based on a motion equation for simulating and analyzing physical behavior, and is also referred to as "modeling". As a method for analyzing behavior, simulation analysis using a computer is widely common today, but other mathematical analysis approaches such as examining the solution of a differential equation using Laplace transform are also included.

Prior Art Documents

Patent Documents

[0006] [Patent Document 1] International Publication No. 2016 / 047330 [Non-Patent Document 1] Daisuke Nakazawa, Seiji Watanabe, and Hiroki Fukui: "Analysis of Tension Behavior of Elevator Rope Considering Rope Slippage," Proceedings of the Japan Society of Mechanical Engineers Technical Conference, "Recent Technologies and Advances in Elevators, Amusement Facilities, etc.," (2016), pp. 45-50. [Non-Patent Document 2] Ayato Shibayama, Takayoshi Kamada, Satoshi Ogawa, and Tomohiro Shiki: "Analysis of Tension Fluctuations in Elevator Main Rope Due to Variation in Groove Depth of Hoisting Machine," Proceedings of the Japan Society of Mechanical Engineers Technical Conference, "Recent Technologies and Advances in Elevators, Amusement Facilities, etc.," (2021). [Overview of the Initiative] [Problems that the invention aims to solve]

[0007] While the conventional rope modeling technique using a single spring, as described above, is efficient for simulating rope tension, it suffers from the problem of insufficient accuracy in simulating rope tension.

[0008] This disclosure is made to solve the above-mentioned problems and aims to provide an elevator condition monitoring method, a condition monitoring program, a recording medium, and a condition monitoring device related to elevator condition monitoring technology that can estimate tension more accurately through simple processing. [Means for solving the problem]

[0009] The elevator condition monitoring method according to this disclosure includes a tension calculation step in which, for each of the multiple ropes that are wrapped around a pulley having multiple grooves and suspend the car and counterweight, the winding-side portion and the unwinding-side portion relative to the pulley are modeled as springs, and the tension of each of the multiple ropes is calculated using a tension model consisting of multiple equations of motion. The tension model takes discrete tension data, which includes measured values ​​of the tension of each rope when the car is located at a measurement position in the hoistway, and multiple parameters as input data, and continuous tension data, which is continuous data of the tension of each rope, including estimated values ​​of the tension of each rope when the car is located at a position other than the measurement position, as output data. In the tension model, the amount of displacement applied to the pulley-side end of each winding-side portion and each unwinding-side portion is the free length of the rope, which is the amount of winding by the pulley minus the amount of rope elongation in the winding amount. The elevator condition monitoring device according to this disclosure comprises a monitoring device body which models the winding side and unwinding side of each of the multiple ropes that are wound around a pulley having multiple grooves and suspend the car and counterweight as springs, and calculates the tension of each of the multiple ropes using a tension model consisting of multiple equations of motion. The tension model takes discrete tension data, which includes measured values ​​of the tension of each rope when the car is located at a measurement position in the hoistway, and multiple parameters as input data, and continuous tension data, which is continuous data of the tension of each rope, including estimated values ​​of the tension of each rope when the car is located at a position other than the measurement position, as output data. In the tension model, the amount of displacement applied to the pulley side end of each winding side and each unwinding side is the free length of the rope, which is the amount of winding by the pulley minus the amount of rope elongation in the winding amount. [Effects of the Invention]

[0010] According to this disclosure, a more accurate tension can be estimated through a simple process. [Brief explanation of the drawing]

[0011] [Figure 1] This is an explanatory diagram showing an equivalent model of a rope passing over a pulley. [Figure 2] This is an explanatory diagram showing the equivalent model in Figure 1 replaced with a model of a one-dimensional coordinate system. [Figure 3] This is an explanatory diagram showing the behavior of the winding side portion of Figure 1, modeled using multiple different methods. [Figure 4] This is an explanatory diagram showing the rope in Figure 1 divided into a winding side and a unwinding side. [Figure 5] This diagram illustrates the behavior of two winding sections subjected to different tensions, using multiple different models. [Figure 6] This table shows the evaluation results of the three models in Figure 5. [Figure 7] This is an explanatory diagram showing an example of an elevator model. [Figure 8] This graph shows the relationship between the tension of two ropes and the position of the cage when the depths of the two grooves are equal. [Figure 9] This graph shows the relationship between the tension of two ropes and the position of the cage when there is a 0.2 mm difference in the depth of the two grooves. [Figure 10] This graph shows the relationship between calculated values ​​of tension in two ropes and the cage position when there is a 0.7 mm difference in the depth of the two grooves, compared with multiple measured values. [Figure 11] This is a schematic diagram illustrating a 1:1 roping elevator where multiple ropes are wrapped around a pulley in a double-wrap configuration. [Figure 12] Figure 11 is a graph showing the relationship between calculated tension values ​​and the elevator car position, compared with multiple measured values. [Figure 13] This is an explanatory diagram showing the relationship between the tension model and input / output data in Embodiment 1. [Figure 14] This is a block diagram showing an elevator status monitoring device according to Embodiment 1. [Figure 15] Figure 14 is a flowchart showing the operation of the calculation unit. [Figure 16] It is a flowchart showing the operation of the processing part of the tension model in FIG. 15. [Figure 17] It is an explanatory diagram showing the relationship between the tension model and the input / output data in the second embodiment. [Figure 18] It is a flowchart showing a part of the operation of the state monitoring device according to the second embodiment. [Figure 19] It is an explanatory diagram showing the relationship between the tension model and the input / output data in the third embodiment. [Figure 20] It is a flowchart showing a part of the operation of the state monitoring device according to the fourth embodiment. [Figure 21] It is a flowchart showing a part of the operation of the state monitoring device according to the first modification example of the fourth embodiment. [Figure 22] It is a flowchart showing a part of the operation of the state monitoring device according to the second modification example of the fourth embodiment. [Figure 23] It is a flowchart showing a part of the operation of the state monitoring device according to the fifth embodiment. [Figure 24] It is a flowchart showing a part of the operation of the state monitoring device according to the sixth embodiment. [Figure 25] It is a flowchart showing a part of the operation of the state monitoring device according to the seventh embodiment. [Figure 26] It is a flowchart showing a part of the operation of the state monitoring device according to the modification example of the seventh embodiment. [Figure 27] It is a flowchart showing the maintenance timing calculation process by the state monitoring device according to the eighth embodiment. [Figure 28] It is a flowchart showing the maintenance timing monitoring process by the state monitoring device according to the eighth embodiment. [Figure 29] It is an explanatory diagram showing the relationship between the tension model and the input / output data in the modification example of the eighth embodiment. [Figure 30] It is a flowchart showing the maintenance timing monitoring process according to the modification example of the eighth embodiment. [Figure 31] It is a flowchart showing a part of the operation of the state monitoring device according to the tenth embodiment. [Figure 32] This is a configuration diagram showing a first example of a processing circuit that realizes each function of the monitoring device body of Embodiments 1 to 10. [Figure 33] This diagram shows a second example of a processing circuit that implements each function of the monitoring device body according to Embodiments 1 to 10. [Modes for carrying out the invention]

[0012] The embodiments will be described below with reference to the drawings. Embodiment 1. Possible models (mechanical models) for a rope wrapped around a pulley include the finite element method (FEM) and multibody methods. However, these methods are computationally intensive and lack versatility. Therefore, we will construct a simple model in which the rope acts as a single spring.

[0013] First, let's consider the simplest model in which a single rope is wrapped around a single pulley. Figure 1 is an explanatory diagram showing an equivalent model of the rope passing over the pulley. Figure 2 is an explanatory diagram showing the equivalent model of Figure 1 replaced with a one-dimensional coordinate system model.

[0014] In the diagram, a rope 11 is wound around a pulley 10. The pulley 10 rotates counterclockwise in the diagram. The direction of movement of the rope 11 is determined by the direction of rotation of the pulley 10. In particular, in the model of the rope 11 in a one-dimensional coordinate system shown in Figure 2, the winding side and the unwinding side of the rope 11 move in the same direction, corresponding to the direction of rotation of the pulley 10.

[0015] In the equivalent model of the rope, the rope 11 consists of three parts, as shown in Figures 1 and 2: a winding side, a paying side, and a part that moves in conjunction with the pulley 10. More precisely, the part that moves in conjunction with the pulley 10 is the part that is on the pulley 10 and is movable in conjunction with the pulley 10.

[0016] In the following diagram, the subscript i is added to the variables relating to the winding side portion of the rope 11 to indicate that they are on the input side. The winding side portion is the part of the rope 11 upstream of the pulley 10 in the direction of movement of the rope 11.

[0017] Furthermore, the subscript 'o' is added to the variable relating to the payout side of the rope 11, indicating that it is the output side. The payout side of the rope 11 is the part of the rope 11 downstream of the pulley 10 in the direction of movement of the rope 11.

[0018] When the rope 11 is wound up by a small amount Δx due to a small rotation of the pulley 10, the amount wound up Δx is expressed as the sum of the rope's free length ΔLi and the rope's elongation Δui. The rope's free length ΔLi is the length when no tension is acting on it.

[0019] In other words, the winding amount Δx corresponds to the rope displacement when tension is applied, and is the sum of the rope free length ΔLi (rope displacement when no tension is applied) and the rope elongation due to tension. As shown in Figure 2, the rope displacement when no tension is applied is the same for the winding side, the unwinding side, and the part that moves in conjunction with the pulley, and the rope free length ΔLi.

[0020] Δx = ΔLi + Δui (1.1)

[0021] The elongation Δui of the winding side of the rope can be determined from the tension Ti of the winding side. In contrast, the tension of the unwinding side is To, so the elongation Δuo of the unwinding side of the rope is different from the elongation Δui of the winding side.

[0022] Therefore, the creep amount Δcr, which is the small amount of slip of the rope 11 on the pulley 10, is equal to the difference in rope elongation Δuo - Δui relative to the free length of the rope ΔLi.

[0023] Δx+Δcr=(ΔLi+Δui)+(Δuo-Δui)=ΔLi+Δuo (1.2)

[0024] Experimental testing using a real machine has confirmed that the lower ends of the winding side and the lower ends of the unwinding side exhibit the following behavior in relation to the handling of rope elongation. In Figure 1, xi represents the displacement of the lower end of the winding side, and xo represents the displacement of the lower end of the unwinding side.

[0025] Furthermore, the key to our success in proposing a rope and elevator model with superior characteristics was our focus on the behavior at the lower end of the winding and unwinding sections, specifically in relation to the handling of rope elongation.

[0026] The lower end of the winding portion rises by the same amount Δx as the amount of rope 11 wound up on the pulley 10. The lower end of the unwinding portion generally descends by an amount different from the winding amount Δx on the pulley 10.

[0027] Figure 3 is an explanatory diagram showing the behavior of the winding side portion of the rope 11 in Figure 1, modeled using multiple different methods. In particular, Figure 3 and Figure 5, shown later, are effective explanatory diagrams for explaining the superior characteristics of model (c) of the rope 11 proposed in this embodiment.

[0028] In Figure 3, (a) shows a multibody model. In the multibody model, the winding portion is divided into multiple small sections. Also, in the multibody model, when the upper end of the winding portion is wound up by Δx, the lower end of the winding portion rises by Δx.

[0029] Here, a small amount of winding Δx is separated into the free length of the rope ΔLi and the elongation of the rope Δui. If the spring constant ki is determined by the length of the winding side before winding, then after winding, the length of the winding side decreases by Δx, so the spring constant after winding changes to k'i. In this case, k'i > ki. Note that in the following explanation, the spring constant may also be referred to as rope stiffness.

[0030] In Figure 3, (a') shows the winding side of the rope 11, which is modeled as a single spring. In this model, when the upper end of the winding side is wound up by Δx, the lower end of the winding side also rises by Δx. Also, in this model, the spring constant remains ki. However, in reality, the spring constant changes to k'i.

[0031] In Figure 3, (b) shows a model in which the spring constant in model (a') is changed to k'i, and the position of the upper end of the winding side is the same as in model (a'). The lower end of the winding side is raised by Δui compared to model (a'). This is the effect of the amount of deflection in the winding side decreasing as the rope stiffness increases from ki to k'i.

[0032] The behavior of the lower end of the winding section is actually the same as in model (a). However, in model (b), the behavior of the lower end of the winding section differs from the actual behavior observed in the actual machine described above.

[0033] In Figure 3, (c) shows a model of the rope 11 used in Embodiment 1. In this model, the position of the upper end of the winding side portion is lower compared to models (a), (a'), and (b). In model (c), the position of the lower end of the winding side portion is the same as in models (a) and (a').

[0034] Figure 4 is an explanatory diagram showing the equivalent model of Figure 1, divided into a winding side and a unwinding side. In Figure 4, the winding side and the unwinding side are modeled as independent springs. This allows us to consider the force equilibrium conditions for the spring force, i.e., tension, determined by the difference in displacement at both ends of each spring.

[0035] In Figure 4, yi represents the displacement of the upper end of the winding side portion, and yo represents the displacement of the upper end of the unwinding side portion. The relationship with respect to the winding side portion when stationary, i.e., before winding, is given by the following equation.

[0036] Ti=ki(yi-xi)=(EA / Li)(0-x'i) (1.3)

[0037] 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 11, and A is the cross-sectional area of ​​the section perpendicular to the length direction of the rope 11.

[0038] Furthermore, x'i is the initial elongation at the lower end of the winding portion and is a negative value. In this case, the coordinate system is defined with upward displacement as positive. The rope stiffness ki of the winding portion is a function of Young's modulus E, cross-sectional area A, and length Li of the winding portion.

[0039] Since the winding portion is wound onto the pulley 10 while subjected to tension Ti, the following relationship is obtained.

[0040] Ti = (EA / ΔLi)Δui (1.4)

[0041] When the winding portion is wound up by a small amount Δx on the pulley 10, the lower end of the winding portion rises by Δx, regardless of the rope's stiffness, as shown in Figures 2 and 3. Therefore, the balance of forces after being wound up by Δx is given by the following equation.

[0042] Ti=(EA / (Li-ΔLi))(yi-xi) =(EA / (Li-ΔLi)){yi-(x'i+Δx)} (1.5)

[0043] The tension Ti in the winding section is calculated from the displacement difference yi-xi between the upper and lower ends of the winding section. Furthermore, this equation yields a relationship that the displacement yi at the upper end of the winding section must satisfy.

[0044] yi=(Ti / EA)(Li-ΔLi)+x'i+Δx (1.6)

[0045] By rearranging the above equation using equations (1.1), (1.3), and (1.4), we obtain the following equation.

[0046] yi=(Ti / EA)(Li-ΔLi)-(Ti / EA)Li+ΔLi+Δui =-(Ti / EA)ΔLi+ΔLi+Δui = -Δui + ΔLi + Δui = ΔLi (1.7)

[0047] Therefore, the displacement yi at the upper end of the winding portion during small winding must be the portion of the winding amount Δx that is the free length of the rope ΔLi, rather than the winding amount Δx, i.e., ΔLi + Δui. As a result, the displacement xi at the lower end of the winding portion becomes the winding amount Δx, and the result corresponding to Figure 3(a) is obtained.

[0048] Thus, in the method of Embodiment 1, as shown in Figure 3(c), the behavior of the lower end of the winding portion is correctly evaluated.

[0049] Figure 5 is an explanatory diagram illustrating the behavior of two winding sections subjected to different tensions for several different models. In Figure 5, (a), (b), and (c) correspond to models (a), (b), and (c) in Figure 3, respectively.

[0050] In model (a), even if the tensions Ti1 and Ti2 are different, the lower ends of the two winding sections are displaced upward by a distance Δx equal to the winding amount Δx.

[0051] On the other hand, in model (b), the displacement of the upper ends of the two winding sections is Δx, while the lower end of one winding section is displaced upward by Δx + Δui1, and the lower end of the other winding section is displaced upward by Δx + Δui2.

[0052] In an actual elevator, the lower ends of the two winding sections are connected to the car or counterweight, and their displacements are the same. Therefore, the winding section acting under tension Ti1, which is less than tension Ti2, has its lower end pulled up excessively, causing slack and a decrease in tension. Conversely, the winding section acting under tension Ti2 has its lower end pulled down, increasing the tension.

[0053] Thus, in model (b), if the same winding amount Δx is given to the two winding sections with different tensions, a constraint force acts to align the lower end positions in response to the misalignment of the lower ends, resulting in a change in tension.

[0054] In contrast, in model (c), the amount of lift at the upper ends of the two winding sections is not a uniform Δx, but rather ΔLi1 and ΔLi2, which are the free lengths of the rope on the pulley 10 corresponding to the tension, and are therefore different from each other. With this correction for the amount of lift, the displacement at the lower ends of the two winding sections is Δx in both cases, which matches model (a).

[0055] Figure 6 is a table showing the evaluation results of the three models in Figure 5. While the multibody method (a) can accurately model the winding behavior, it requires dividing the rope 11 into multiple parts, which makes the model complex and increases computation time.

[0056] On the other hand, methods (b) and (c), which model the rope 11 as a spring, have a simple model and low computational load. However, model (b) does not correctly evaluate the tension in the winding portion. In contrast, model (c), which is proposed here as the method of Embodiment 1, accurately evaluates the tension in the winding portion.

[0057] Because model (c) is a simple model, it has a low computational load and can easily calculate the tension fluctuations for each cage position for all ropes in real time, even on a personal computer or control panel (CP) used for maintenance work with memory constraints.

[0058] Therefore, by using tension measurement data at limited cage locations during maintenance, it is possible to understand the tension of all ropes at each cage location, thereby shortening maintenance time.

[0059] Next, we will explain the extension side. From Figure 4, the relationship for the extension side when stationary is as follows.

[0060] To=ko(yo-xo)=(EA / Lo)(0-x'o) (1.8)

[0061] Here, ko is the rope stiffness of the extension side, yo is the displacement of the upper end of the extension side, xo is the displacement of the lower end of the extension side, Lo is the length of the extension side, E is the Young's modulus of the rope 11, and A is the cross-sectional area of ​​the section perpendicular to the length direction of the rope 11.

[0062] Furthermore, x'o is the initial elongation at the lower end of the extension portion and is a negative value. The rope stiffness ko of the extension portion is a function of Young's modulus E, cross-sectional area A, and length Lo of the extension portion.

[0063] When the winding portion is wound up by Δx, the unwinding portion becomes longer by the free length of the rope on the pulley 10, ΔLi. Also, due to the tension To on the unwinding portion, the free length of the rope on the unwinding portion, ΔLi, is stretched by Δuo.

[0064] To = (EA / ΔLi)Δuo (1.9)

[0065] Therefore, when the rope 11 is wound up by a small amount Δx on the pulley 10, the lower end of the unwinding portion will be displaced downward by ΔLi + Δuo. The balance of forces in the unwinding portion after being wound up by Δx is given by the following equation.

[0066] To = (EA / (Lo + ΔLi)) (yo - xo) =(EA / (Lo+ΔLi)){ yo-(x'o-ΔLi-Δuo)} (1.10)

[0067] The tension To in the extension section is calculated from the displacement difference yo-xo between the upper and lower ends of the extension section. Furthermore, this equation yields a relationship that the displacement yo at the upper end of the extension section must satisfy.

[0068] yo=(To / EA)(Lo+ΔLi)+x'o-ΔLi-Δuo (1.11)

[0069] We rearrange the above equation using equations (1.11), (1.8), and (1.9).

[0070] yo=(To / EA)(Lo+ΔLi)-(To / EA)Lo-ΔLi-Δuo =(To / EA)ΔLi-ΔLi-Δuo =Δuo - ΔLi - Δuo = -ΔLi (1.12)

[0071] From this equation, the displacement yo at the upper end that imparts the rope stiffness ko to the unwinding portion must be the free length of the rope within the winding portion minus ΔLi, rather than the winding amount minus Δx. As a result, the displacement xo at the lower end of the unwinding portion becomes the unwinding amount ΔLi + Δuo.

[0072] Note that while the displacement Δx = ΔLi + Δui at the lower end of the winding side is different from the displacement xo at the lower end of the unwinding side, which is ΔLi + Δuo. This difference is the creep amount Δcr of the rope 11 on the pulley 10.

[0073] Δcr=Δuo-Δui=(ΔLi / EA)(To-Ti) (1.13)

[0074] The analysis so far has been a formulation for the case where pulley 10 rotates counterclockwise as shown in Figure 1. On the other hand, if we consider the relationship when pulley 10 rotates clockwise as shown in Figure 1, we can use the same relationship for the counterclockwise case by defining the winding amount Δx as a negative value. However, since the tension on the winding side becomes To in Figure 1, it is necessary to replace Ti in equation (1.4) with To in Figure 1.

[0075] Furthermore, Figure 1 shows a configuration in which the rope 11 is wrapped around the upper part of the pulley 10 and the rope 11 is pulled downwards. However, the derived relation remains the same even in a configuration in which the rope 11 is wrapped around the lower part of the pulley 10 and the rope 11 is pulled upwards.

[0076] Based on the above results, the model for winding the rope 11 onto the pulley 10 can be summarized as follows.

[0077] The sign of the winding amount Δx is set according to the direction of rotation, with counterclockwise rope displacement on pulley 10 being positive and clockwise rope displacement being negative. The rope stiffness ki of the winding side is defined as the product of the Young's modulus E and cross-sectional area A of the rope 11, divided by the length Li of the winding side. The rope stiffness ko of the unwinding portion is defined as the product of the Young's modulus E and cross-sectional area A of the rope 11, divided by the length Lo of the unwinding portion. • When determining rope stiffness ki and ko, the lengths Li and Lo are set to the free length of the rope 11, where no tension is acting on the rope.

[0078] The tension Ti in the winding portion is defined as the value obtained by multiplying the rope stiffness ki by the displacement difference yi-xi between the upper and lower ends. The tension To in the payout portion is defined as the value obtained by multiplying the rope stiffness ko by the displacement difference yo-xo at the upper and lower ends.

[0079] The displacement of the end of the pulley 10 on the winding side is defined as the value obtained by subtracting the rope elongation Δui on the winding side from the small amount of winding Δx of the rope 11 on the pulley 10, and corresponds to the rope free length ΔLi with respect to the winding amount Δx. The displacement of the end of the pulley 10 on the unwinding side is defined as the value obtained by subtracting the rope elongation Δui on the winding side from the small amount of rope 11 being wound up Δx on the pulley 10, and corresponds to the rope free length ΔLi with respect to the amount of winding up Δx. The amount of rope elongation on the pulley 10 is calculated from the tension Ti on the winding side.

[0080] Next, Figure 7 is an explanatory diagram showing an example of an elevator model. In Figure 7, the simplest model is shown, which uses a 1:1 roping system with one rope.

[0081] Here, the rope model (c) described above will be further incorporated into the elevator model for explanation. Specifically, in this elevator model, the car 12 and the counterweight 13 are each suspended by a rope 11 in a bucket-type manner using a pulley 10, which is a sheave, and the car 12 and the counterweight 13 move up and down by winding or unwinding the rope 11 by the pulley 10.

[0082] Each element of the elevator is modeled as a spring and a system of point masses. The rope 11 is modeled as a point mass element on the pulley 10, and as a spring element on the winding and unwinding ends, respectively.

[0083] In Figure 7, Js is the moment of inertia of the pulley 10, and Jr is the moment of inertia of the rope 11 on the pulley 10. Jr is the moment of inertia due to the mass of the rope portion that moves integrally with the pulley 10, as described above. Mc is the mass of the cage 12, Mw is the mass of the counterweight 13, msc is the mass of the cage-side shackle 14, and msw is the mass of the counterweight-side shackle 15. These are parameters related to the inertial elements.

[0084] mrc is the mass of the cage-side portion of rope 11, and mrw is the mass of the counterweight-side portion of rope 11. The cage-side portion is the part of rope 11 located on the cage 12 side of pulley 10. The counterweight-side portion is the part of rope 11 located on the counterweight 13 side of pulley 10. These are also parameters related to the inertial element, as described above.

[0085] ksc is the stiffness of the cage-side shackle 14, ksw is the stiffness of the counterweight-side shackle 15, krc is the stiffness of the cage-side portion of the rope 11, and krw is the stiffness of the counterweight-side portion of the rope 11. These are parameters related to the stiffness elements.

[0086] θs is the rotation angle of the pulley 10, and θr is the rotation angle of the rope 11 on the pulley 10. xc is the displacement of the cage 12, xw is the displacement of the counterweight 13, xsc is the displacement of the cage-side shackle 14, xsw is the displacement of the counterweight-side shackle 15, xrc is the displacement of the cage-side portion of the rope 11, and xrw is the displacement of the counterweight-side portion of the rope 11.

[0087] The equations of motion expressed as differential equations without considering the damping term due to the damping element are as follows. Here, we use d^2 / dt^2 as the operator that shows the second derivative operation with respect to time t.

[0088] Mc(d^2 / dt^2)xc-ksc(xsc-xc)=-Mc g (1.14)

[0089] Mw(d^2 / dt^2)xw-ksw(xsw-xw)=-Mw g (1.15)

[0090] msc(d^2 / dt^2)xsc+ksc(xsc-xc)-krc(xrc-xsc) =-msc g (1.16)

[0091] msw(d^2 / dt^2)xsw+ksw(xsw-xw)-krw(xrw-xsw) = -msw g (1.17)

[0092] mrc(d^2 / dt^2)xrc+krc(xrc-xsc)-krc(-Rθr-xrc) =-mrc g (1.18)

[0093] mrw(d^2 / dt^2)xrw+krw(xrw-xsw)-krw(Rθr-xrw) =-mrw g (1.19)

[0094] Js(d^2 / dt^2)θs=τ-λ (1.20)

[0095] Jr(d^2 / dt^2)θr-krcR(-Rθr-xrc)+krwR(Rθr-xrw) =λ (1.21)

[0096] R is the radius of pulley 10, and g is the acceleration due to gravity. Also, τ is the driving torque applied to pulley 10, and λ is the restraining torque acting between pulley 10 and rope 11.

[0097] On the pulley 10, the pulley 10 and the rope 11 move together as a unit within the range of the critical traction ratio Γ. The critical traction ratio Γ is given as a function of the coefficient of friction between the pulley 10 and the rope 11 and the wrapping angle of the rope 11 around the pulley 10.

[0098] At this time, the conditions that satisfy the ratio of the tension Ti in the winding portion of the rope 11 to the tension To in the unwinding portion, and the constraint equations are given by the following equations. Here, d / dt is used as the operator that shows the first derivative operation with respect to time t.

[0099] (1 / Γ) < (To / Ti) < Γ (1.22)

[0100] (d / dt)θs-(d / dt)θr=0 (1.23)

[0101] The restraining torque λ acts on the pulley 10 and the rope 11 as a force satisfying the above equation. On the other hand, when the tension ratio To / Ti exceeds the critical traction ratio Γ, the rope 11 slides against the pulley 10 while frictional force acts on it, resulting in a difference between the rotational speed of the pulley 10 and the rotational speed of the rope 11.

[0102] (d / dt)θs-(d / dt)θr≠0 (1.24)

[0103] The following describes the behavior when the cage 12 descends, that is, when the pulley 10 rotates counterclockwise as shown in Figure 7. We consider the equilibrium state at time t+Δt after a small time interval Δt has elapsed, starting from the equilibrium state at time t. When the cage 12 descends in a small time interval Δt, the amount of winding Δx on the pulley 10 is given by the following equation.

[0104] Δx = RΔθr = ΔL + Δu (1.25)

[0105] Here, ΔL is the free length of the rope with respect to a small amount of winding Δx during the descent of the cage 12, i.e., the length of the rope when no tension is acting on it. Also, Δu is the amount of rope elongation with respect to a small amount of winding Δx during the descent of the cage 12.

[0106] Furthermore, multiple grooves are provided on the outer circumference of the pulley 10. A corresponding rope 11 is inserted into each groove. Each groove is worn down over time by the rope 11. Since the radius R is the radius of the pulley 10 in each groove, if the amount of wear in the multiple grooves differs from one another, the radius R will differ slightly from groove to groove.

[0107] These differences in radius R result in differences in the amount of rope that can be wound, creating tension differences between the multiple ropes 11.

[0108] If Tw is the tension acting on the counterweight side of rope 11, then Δu satisfies the following equation.

[0109] Tw=(EA / ΔL)Δu → Δu=(Tw / EA)ΔL (1.26)

[0110] Therefore, the free length of the rope ΔL can be determined from a small amount of winding Δx.

[0111] Δx=(1+(Tw / EA))ΔL → ΔL=Δx / (1+(Tw / EA)) (1.27)

[0112] From this equation, the length Lc of the cage-side portion of the rope 11 and the length Lw of the counterweight-side portion of the rope 11 are given by the following equations, respectively.

[0113] Lo(t+Δt)=Lc(t+Δt)=Lc(t)+ΔL, Li(t+Δt)=Lw(t+Δt)=Lw(t)-ΔL (1.28)

[0114] The amount of winding, the corresponding free length of the rope, and the amount of rope elongation at time t+Δt are given by the following equations, respectively.

[0115] x(t+Δt)=x(t)+Δx, L(t+Δt)=L(t)+ΔL, u(t+Δt)=u(t)+Δu (1.29)

[0116] The amount of rope wound up by the sheave 10, x(t+Δt)=Rθr(t+Δt), includes the amount of rope elongation. However, in order to calculate the tension generated in the winding side of the rope 11 and the tension generated in the unwinding side of the rope 11, it is necessary to use the free length of the rope L rather than using Rθr directly as the amount of rope wound up.

[0117] The free length L of the rope can be calculated using the following formula.

[0118] x(t+Δt)=Rθr(t+Δt) =L(t+Δt)+u(t+Δt) → L=Rθr-u (1.30)

[0119] Therefore, the tension Ti generated in the winding portion of the rope 11 is given by the following equation.

[0120] Ti=Tw=ki(L-xrw) =krw(L-xrw)=krw(Rθr-u-xrw) (1.31)

[0121] Furthermore, the tension To generated in the out-of-rope portion of the rope 11 is given by the following equation.

[0122] To=ko(-L-xrc) =krc(-L-xrc)=krc(-Rθr+u-xrc) (1.32)

[0123] From these equations, the winding amount in the equations of motion (1.18), (1.19), and (1.21) is modified as follows:

[0124] Rθr → Rθr-u (1.33)

[0125] Next, we will explain the behavior when the cage 12 rises, that is, when the pulley 10 rotates clockwise in Figure 7. When the cage 12 rises in a small time interval Δt, the amount of winding Δx on the pulley 10 is given by the following equation. Note that counterclockwise rotation in Figure 7 is considered positive, so when the pulley 10 rotates clockwise in Figure 7, the amount of winding Δx will be a negative value.

[0126] Δx = Rθr = ΔL + Δu (1.34)

[0127] Here, Δu is the amount of rope elongation relative to a small amount of winding Δx when the cage 12 rises, and it is a negative value.

[0128] If Tc is the tension acting on the cage-side portion of rope 11, then Δu satisfies the following equation.

[0129] Tc=(EA / ΔL)Δu → Δu=(Tc / EA)ΔL (1.35)

[0130] Therefore, the free length of the rope ΔL can be determined from a small amount of winding Δx.

[0131] Δx=(1+(Tc / EA))ΔL → ΔL=Δx / (1+(Tc / EA)) (1.36)

[0132] From this equation, the length Lc of the cage-side portion of the rope 11 and the length Lw of the counterweight-side portion of the rope 11 are given by the following equations, respectively.

[0133] Li(t+Δt)=Lc(t+Δt)=Lc(t)+ΔL, Lo(t+Δt)=Lw(t+Δt)=Lw(t)-ΔL (1.37)

[0134] Here, since the free length ΔL is a negative value, the rope length on the cage side decreases, and the rope length on the counterweight side increases.

[0135] The free length L of the rope when the cage 12 is rising can be calculated using the following formula.

[0136] x(t+Δt)=Rθr(t+Δt) =L(t+Δt)+u(t+Δt) → L=Rθr-u (1.38)

[0137] Therefore, the tension Ti generated in the winding portion of the rope 11 is given by the following equation.

[0138] Ti=Tc=ki(-L-xrc) =krc(-L-xrc)=krc(-Rθr+u-xrc) (1.39)

[0139] Furthermore, the tension To generated in the out-of-rope portion of the rope 11 is given by the following equation.

[0140] To=ko(L-xrw) =krw(L-xrw)=krw(Rθr-u-xrw) (1.40)

[0141] From these equations, the winding amount in the equations of motion (1.18), (1.19), and (1.21) is modified as follows:

[0142] Rθr → Rθr-u (1.41)

[0143] From the above results, the tension model as a generalized model of rope winding can be defined as follows. Thus, the tension model consists of multiple equations of motion. In this specification and claims, the analytical model for rope tension will be simply referred to as the tension model.

[0144] Regardless of the direction of travel of the cage 12, the rope length Lc on the cage 12 side and the rope length Lw on the counterweight 13 side can be obtained by the following equations. That is, the length of the winding side portion and the length of the unwinding side portion are calculated from the free length ΔL of the rope.

[0145] Lc(t+Δt)=Lc(t)+ΔL,Lw(t+Δt)=Lw(t)-ΔL (1.42)

[0146] Here, ΔL satisfies the following equation.

[0147] When the cage is descending: ΔL = (1.27) equation, when the cage is ascending: ΔL = (1.36) equation (1.43)

[0148] The winding amount in the equations of motion (1.18), (1.19), and (1.21) is modified as follows:

[0149] Rθr → L=Rθr-u (1.44)

[0150] As shown in equations (1.27) and (1.36), the free length of the rope ΔL is a function of the winding amount Δx and the tension Ti in the winding portion.

[0151] Here, the relationship for the correction amount u over a small time interval is given by the following equation.

[0152] u(t+Δt)=u(t)+Δu (1.45)

[0153] When the cage is descending: Δu = (1.26), when the cage is ascending: Δu = (1.35) (1.46)

[0154] 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 in the winding portion.

[0155] The above relationship holds true even when there is one or more pulleys other than the sheave pulley 10, and it also holds true regardless of the number of ropes 11.

[0156] Next, as an example, we will show the calculation results for a 1:1 roping elevator configuration in which two ropes 11 are wrapped around a pulley 10 in a single-wrap manner. In the following calculations, the tensions of the two ropes are determined by changing the car position, with the cases where the depths of the two grooves are equal and the cases where they are different.

[0157] Figure 8 is a graph showing the relationship between the tension of the two ropes 11 and the position of the cage when the depths of the two grooves are equal. Figure 9 is a graph showing the relationship between the tension of the two ropes 11 and the position of the cage when there is a difference of 0.2 mm in the depths of the two grooves. Figure 10 is a graph showing the relationship between the calculated value of the tension of the two ropes 11 and the position of the cage when there is a difference of 0.7 mm in the depths of the two grooves, compared with multiple measured values.

[0158] In Figures 8, 9, and 10, the elevator car 12 travels back and forth between the top floor and the bottom floor. Car1 indicates the tension on the elevator car side of one rope 11. Car2 indicates the tension on the elevator car side of the other rope 11. CWT1 indicates the tension on the counterweight side of one rope 11. CWT2 indicates the tension on the counterweight side of the other rope 11. The measured values ​​for each tension are the values ​​obtained by measuring the tension acting on the shackle spring.

[0159] When the depths of the two grooves are equal, the tension remains constant regardless of the cage position, as shown in Figure 8.

[0160] On the other hand, the fact that the depths of the two grooves are different corresponds to the radius R of the pulley 10 in the equation of motion being different for each rope 11. When there is a difference in the depth of the two grooves, as shown in Figure 9, the tension when the cage 12 rises and the tension when it descends follow different trajectories. In Figure 9, the grooves corresponding to Car2 and CWT2 are deeper than the grooves corresponding to Car1 and CWT1.

[0161] If the winding amount is calculated using a model that does not take into account rope elongation, even under the condition that the groove depth is the same, the tension will change with changes in the basket position due to the difference in the initial elongation of the rope, which represents a difference in initial tension. Therefore, the result will differ from the actual tension behavior in which the tension does not change with the basket position.

[0162] As the difference in depth between the two grooves increases, the tension ratio between the winding side and the unwinding side exceeds the limit traction ratio Γ, causing the rope 11 to slip relative to the pulley 10, and the gradient of the tension fluctuation changes along the way, as shown in Figure 10. From Figure 10, it can be seen that the analysis method of Embodiment 1 allows for accurate calculation of the tension fluctuation, including the rope slip behavior.

[0163] Furthermore, since the critical traction ratio Γ is a function of the coefficient of friction between the pulley 10 and the rope 11, the critical traction ratio Γ changes when the coefficient of friction changes. This change in the critical traction ratio Γ appears as a shift in the inflection point where the gradient of the tension fluctuation changes. Therefore, by understanding the amount of this shift in the inflection point, it is also possible to determine the amount of change in the coefficient of friction.

[0164] Figure 11 is a schematic diagram showing a 1:1 roping elevator in which multiple ropes 11 are wrapped around a pulley 10 in a double-wrap manner. In the double-wrap method, each rope 11 is wrapped twice around the pulley 10 and the deflector 16, which are sheaves. According to the analysis method of Embodiment 1, calculations can also be performed for the double-wrap method.

[0165] Figure 12 is a graph showing the relationship between the calculated tension value and the car position in the elevator shown in Figure 11, compared with multiple measured values. The horizontal axis of Figure 12 represents the car position, dimensionless based on the trajectory. The vertical axis of Figure 12 represents the tension, dimensionless based on the average tension at intermediate floors.

[0166] Here, a rope 11 passing through a groove of normal depth is called a normal groove rope, a rope 11 passing through a groove shallower than normal depth is called a shallow groove rope, and a rope 11 passing through a groove deeper than normal depth is called a deep groove rope.

[0167] In Figure 12, the solid line shows the calculated tension of the shallow groove rope. The squares (□) indicate the measured tension of the shallow groove rope when the cage is rising. The circles (〇) indicate the measured tension of the shallow groove rope when the cage is descending.

[0168] The dotted line shows the calculated tension of the normal groove rope. △ indicates the measured tension of the normal groove rope when the cage is rising. ▽ indicates the measured tension of the normal groove rope when the cage is descending.

[0169] The dashed line shows the calculated tension of the deep groove rope. ◇ indicates the measured tension of the deep groove rope when the elevator car is rising. ◆ indicates the measured tension of the deep groove rope when the elevator car is descending.

[0170] As shown in Figure 12, it was confirmed that even with a complex system configuration such as the double-wrap method, the tension can be calculated accurately using the tension model as an analytical model.

[0171] Furthermore, in a simple system configuration with only one pulley 10, the tension fluctuation can be calculated by static analysis based solely on force equilibrium, without performing numerical integration analysis of the equation of motion, i.e., time response analysis, as the tension calculation method of Embodiment 1.

[0172] In this context, static analysis refers to a static analysis using equations of motion from which the inertia term due to inertial elements and the damping term due to damping elements have been removed. Generally, equations of motion include an inertia term due to inertial elements, a stiffness term due to rigid elements, and a damping term due to damping elements, and analysis using these equations of motion is called dynamic analysis. However, in this specification and claims, the equations for force equilibrium in static analysis are also included within the category of equations of motion, as they are considered a special case of the equations of motion.

[0173] However, in complex system configurations involving multiple pulleys linked to the sheave pulley 10, such as the deflection pulley 16 or the suspension pulley in a 2:1 roping system, it becomes necessary to determine the amount of rotation of the multiple linked pulleys through convergence calculations. Therefore, the force equilibrium conditions cannot be easily determined by static analysis.

[0174] Therefore, in the tension calculation method of Embodiment 1, in the case of a complex system configuration that includes multiple pulleys linked to pulley 10, the equation of motion is numerically integrated to perform a convergence calculation so that the equation of motion is always satisfied, and the amount of rotation of the multiple linked pulleys is obtained as a time history response.

[0175] Figure 13 is an explanatory diagram showing the relationship between the tension model and input / output data in Embodiment 1. In the state monitoring method according to Embodiment 1, discrete tension data and multiple parameters are input to the tension model described above. As a result, continuous tension data is output.

[0176] The multiple parameters include various types of data related to rope specifications and data related to groove wear.

[0177] Multiple types of data related to rope specifications include Young's modulus E, cross-sectional area A, rope diameter d, linear density ρ, number of rope strands N, and shackle stiffness ks. At least one of these data, for example, rope diameter d, may be a fixed value. The data related to groove wear is the measured depth of each groove.

[0178] Discrete tension data includes the measured tension of each rope 11 when the elevator car 12 is located at a measurement position within the elevator shaft, along with the rope number and information about the measurement position. The measurement position, i.e., the elevator car's position when the tension is measured, is, for example, an intermediate floor or the lowest floor. There may be two or more measurement positions. Each measured tension value is associated with the rope number and the measurement position. Each measured tension value is, for example, a value read from a tension meter installed on the rope near the shackle.

[0179] It is not necessary to measure the tension at the same basket position for all ropes 11.

[0180] Alternatively, instead of measuring the tension of all the ropes 11, the tension may be measured only for the rope with the greatest tension and the rope with the least tension when the cage 12 is located on the top floor. The rope with the greatest tension is the rope that causes the shackle spring to deform the most. The rope with the least tension is the rope that causes the shackle spring to deform the least. In this case, the remaining ropes can be considered as a single spring, and the configuration can be evaluated as if the cage 12 is suspended by three ropes.

[0181] Continuous tension data is continuous data of the tension of all ropes at all cage positions. By using the tension model of Embodiment 1, continuous tension data can be obtained from discrete tension data. The continuous tension data includes the tension of all ropes at cage positions that have not been measured, the rope number, and the cage position. The calculated value of each tension is associated with the rope number and cage position.

[0182] The elevator state monitoring method according to Embodiment 1 includes a tension calculation step. In the tension calculation step, for each of the multiple ropes 11, the winding side portion and the unwinding side portion relative to the pulley 10 are modeled as springs. Then, the tension of each of the multiple ropes is calculated using a tension model consisting of multiple equations of motion corresponding to these models. The multiple ropes 11 are wound around the pulley 10 and suspend the car 12 and the counterweight 13.

[0183] The tension model takes discrete tension data and multiple parameters as input data and continuous tension data as output data. In the tension model, the displacement applied to the pulley end, i.e., the upper end, at each winding side is the free length of the rope ΔL. The free length of the rope ΔLi is the value obtained by subtracting the rope elongation Δu from the winding amount Δx by the pulley 10.

[0184] The state monitoring program of Embodiment 1 is a program that causes a computer to execute the state monitoring method, which includes the tension estimation method described above.

[0185] In other words, the state monitoring program is a program that causes a computer to perform tension estimation processing. In the tension estimation processing, the tension of each of the multiple ropes is calculated using the tension model described above.

[0186] Furthermore, the program is generally stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. The processing described in the program read from the storage medium is then executed by the computer. The recording medium in Embodiment 1 is a computer-readable recording medium that records an elevator status monitoring program that causes the computer to execute the status monitoring method including the tension estimation method described above.

[0187] Figure 14 is a block diagram of an elevator status monitoring device according to Embodiment 1. The status monitoring device comprises a monitoring device body 20. The monitoring device body 20 has a data input unit 21, a storage unit 22, a calculation unit 23, and a data output unit 24 as functional blocks.

[0188] Discrete tension data is input to the data input unit 21 from the tension measuring device 25. In addition, multiple types of data related to rope specifications and data related to groove wear are input to the data input unit 21.

[0189] The storage unit 22 stores the data input to the data input unit 21. The storage unit 22 also stores the calculation results from the calculation unit 23.

[0190] The calculation unit 23 calculates continuous tension data based on discrete tension data, multiple types of data related to rope specifications, and data related to groove wear. The data output unit 24 outputs the continuous tension data calculated by the calculation unit 23 to an external source.

[0191] Figure 15 is a flowchart showing the operation of the calculation unit in Figure 14. In step S1001, discrete tension data, multiple types of data related to rope specifications, and data related to groove wear are set as initial values. After time t is set to zero, in step S1002, the command angular velocity to be given to the pulley 10 to move the cage 12 is calculated.

[0192] Next, in step S1003, the command torque is calculated so that the pulley 10 follows the commanded angular velocity and is given as input data to the tension model. In steps S1004 and S1005, the tension data Ti(t+Δt) on the winding side and the tension data To(t+Δt) on the unwinding side at the next time step t+Δt are calculated by integrating the equation of motion over time.

[0193] Subsequently, in step S1006, the time t is reset to t+Δt, and the state at the next time step is calculated sequentially. By repeating the above steps, the tension at all cage positions can be obtained as continuous tension data.

[0194] Figure 16 is a flowchart showing the operation of the processing part of the tension model in Figure 15. In step S101, a small amount of winding Δx is determined from equation (1.25) or (1.34) using the rope angle θr on pulley 10, which is the angular velocity (d / dt)θs(t) of pulley 10 and the angular velocity (d / dt)θr(t) of the rope on pulley 10 at time t.

[0195] Then, in step S102, the calculation unit 23 determines whether the winding amount Δx is greater than 0. That is, the calculation unit 23 determines the direction of travel of the cage 12. Here, if Δx is positive, the cage descends, and if it is negative, the cage rises.

[0196] If Δx is greater than 0, the cage 12 is descending, and in step S103, the calculation unit 23 sets the tension Tw of the counterweight side portion as the tension Ti of the winding side portion, as shown in equation (1.31). If Δx is not greater than 0, the cage 12 is rising, and in step S104, the calculation unit 23 sets the tension Tc of the cage side portion as the tension Ti of the winding side portion, as shown in equation (1.39).

[0197] Next, in step S105, the calculation unit 23 calculates the free length of the rope ΔL based on equation (1.43). Subsequently, in step S106, the calculation unit 23 calculates the rope length Lc on the cage side and the rope length Lw on the counterweight side as values ​​at time t+Δt, using equation (1.42) based on the free length of the rope ΔL. In addition, the amount of rope 11 wound up on the pulley 10 x and the free length of the rope on the pulley 10 corresponding to the amount of rope wound up x are also calculated as values ​​at time t+Δt from equation (1.29).

[0198] Then, in step S107, the calculation unit 23 determines the rope stiffness ki of the winding side portion at time t+Δt from equation (1.31) or (1.39) and the rope stiffness ko of the unwinding side portion from equation (1.32) or (1.40), based on the length Li of the winding side portion and the length Lo of the unwinding side portion using equation (1.28) or (1.37). Furthermore, it determines the tension Ti of the winding side portion at time t+Δt from equation (1.31) or (1.39) and calculates the tension To of the unwinding side portion from equation (1.32) or (1.40).

[0199] Next, in step S108, the calculation unit 23 determines whether the tension ratio To / Ti satisfies equation (1.22). If equation (1.22) is satisfied, in step S109, the calculation unit 23 determines that no slippage is occurring between the pulley 10 and the rope 11, and executes the process of equation (1.23).

[0200] On the other hand, if equation (1.22) is not satisfied, the calculation unit 23 determines in step S110 that slippage has occurred between the pulley 10 and the rope 11, and executes the process of equation (1.24).

[0201] Through the above process, the angle θs and angular velocity (d / dt)θs of the pulley 10 at the next time step t+Δt, as well as the angle θr and angular velocity (d / dt)θr of the pulley 10 relative to the rope 11, can be determined, and at the same time, the tension Ti on the winding side and the tension To on the unwinding side can be determined.

[0202] In this state monitoring method, state monitoring program, recording medium, and state monitoring device, for each of the multiple ropes 11, the winding side and the unwinding side relative to the pulley 10 are modeled as springs. Then, the tension of each of the multiple ropes is calculated using a tension model consisting of multiple equations of motion. The tension model takes discrete tension data as input data and continuous tension data as output data.

[0203] Therefore, the computational load is low, and the tension variation for each cage position for all ropes 11 can be easily calculated with simple processing.

[0204] Furthermore, in the tension model, the displacement applied to the pulley end, i.e., the upper end, at each winding side is defined as the free length of the rope, ΔL. Therefore, a more accurate tension can be estimated through a simple process.

[0205] Furthermore, the maximum tension and the amount of tension fluctuation due to changes in the cage position can be determined more accurately. This allows for proper management of the tension of each rope 11 by monitoring whether these values ​​are within the acceptable range and conducting maintenance inspections if they exceed the acceptable range.

[0206] Furthermore, the tension model uses the measured depths of each of the multiple grooves provided in the pulley 10 as input data. This allows for a more accurate estimation of tension.

[0207] Furthermore, the rope elongation Δu is proportional to the rope's free length ΔL and the tension Ti in the winding portion. Therefore, the rope elongation Δu can be calculated more accurately, and the tension can be estimated accurately.

[0208] Furthermore, the free length of the rope ΔL is a function of the amount of winding Δx and the tension Ti in the winding portion. Therefore, the rope elongation Δu can be calculated more accurately with respect to the amount of winding Δx, and this allows for a more accurate calculation of the tension Ti in the winding portion.

[0209] Furthermore, the length of the winding side and the length of the unwinding side are calculated from the free length of the rope, ΔL. As a result, the winding side becomes shorter by the free length of the wound-up rope, ΔL, and the unwinding side becomes longer. Therefore, a more accurate tension can be estimated.

[0210] In other words, in a tension model, the amount of displacement applied to the pulley end in the winding and unwinding sections can be calculated as the free length of the rope ΔL, which is the amount of winding by the pulley minus the amount of rope elongation within that winding amount. This allows for a more accurate estimation of tension.

[0211] Furthermore, the tension Ti in the winding section is calculated from the displacement difference between the upper and lower ends of the winding section, and the tension To in the unwinding section is calculated from the displacement difference between the upper and lower ends of the unwinding section. Therefore, a more accurate tension can be estimated.

[0212] Furthermore, the rope stiffness ki of the winding side is a function of Young's modulus E, cross-sectional area A, and length Li of the winding side. Similarly, the rope stiffness ko of the unwinding side is a function of Young's modulus E, cross-sectional area A, and length Lo of the unwinding side. Therefore, the rope stiffness ki of the winding side and the rope stiffness ko of the unwinding side can be calculated more accurately.

[0213] Embodiment 2. Next, Figure 17 is an explanatory diagram showing the relationship between the tension model and input / output data in Embodiment 2. Multiple types of data related to rope specifications include Young's modulus E, cross-sectional area A, rope diameter d, linear density ρ, number of ropes N, and shackle stiffness ks, but among these, Young's modulus E and cross-sectional area A change over time. When Young's modulus E and cross-sectional area A change, a discrepancy occurs between continuous tension data and discrete tension data.

[0214] In contrast, in Embodiment 2, the parameter values ​​for each rope 11, namely the Young's modulus E and the cross-sectional area A, are converged and identified through iterative calculations so that the continuous tension data and the discrete tension data match. The basic configuration of the condition monitoring device according to Embodiment 2 is the same as in Figure 14.

[0215] Figure 18 is a flowchart illustrating part of the operation of the state monitoring device according to Embodiment 2. In addition to the same operation as in Embodiment 1, the state monitoring device periodically performs the parameter value update process shown in Figure 18 so that the continuous tension data and discrete tension data match. The calculation of the parameter value update process is generally called parameter estimation or parameter identification.

[0216] In step S201, the monitoring device body 20 calculates the difference between continuous tension data and discrete tension data at the same cage position for each rope 11, i.e., the tension difference.

[0217] Next, in step S202, the monitoring device body 20 determines whether the absolute value of the tension difference is smaller than the difference threshold ε. The difference threshold ε is a small value that is pre-set in the monitoring device body 20. If the tension difference is smaller than the difference threshold ε, the monitoring device body 20 terminates the process for that round.

[0218] If the tension difference is greater than or equal to the difference threshold ε, the monitoring device body 20 corrects the parameter values ​​in step S203. The parameter values ​​are the Young's modulus E and the cross-sectional area A.

[0219] At this time, the monitoring device 20 uses a data table that stores the results of calculations performed on the tension model using multiple different parameter values. The monitoring device 20 estimates the parameter value that minimizes the tension difference from the data table by interpolation.

[0220] Subsequently, in step S204, the monitoring device 20 calculates new continuous tension data using the corrected parameters. Then, in step S205, the monitoring device 20 updates the continuous tension data and returns to the process in step S201. By repeating the above process until the absolute value of the tension difference becomes smaller than the difference threshold ε, the parameter values ​​after aging can be identified and the parameter values ​​can be updated.

[0221] The state monitoring method according to Embodiment 2 includes a tension calculation step and a parameter value update step, similar to those in Embodiment 1. The parameter value update step is to update at least one of the Young's modulus E and the cross-sectional area A so that the continuous tension data and the discrete tension data match when the difference between the continuous tension data and the discrete tension data is greater than or equal to a difference threshold ε.

[0222] The status monitoring program of Embodiment 2 is a program that causes a computer to execute the status monitoring method described above.

[0223] Furthermore, the recording medium in Embodiment 2 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0224] In this condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, the value of Young's modulus E and the value of cross-sectional area A are updated in response to the aging of each rope 11. Since Young's modulus E and cross-sectional area A affect the stiffness of the rope, the tension of each rope 11 can be estimated more accurately.

[0225] Furthermore, the cross-sectional area A of each identified rope 11 can be used as an indicator to determine the deterioration state of each rope 11. For example, if the identified cross-sectional area A falls below the allowable value, maintenance inspections are performed, and depending on the condition of the rope 11, the rope may be replaced.

[0226] In addition to Young's modulus E and cross-sectional area A, rope diameter d is another value among the various data related to the specifications of the rope 11 that changes over time. When the rope diameter d changes, the amount of rope 11 wound on the pulley 10 changes, similar to when the groove depth in the pulley 10 changes, and this affects the tension. Therefore, the rope diameter d may be identified by converging through iterative calculations so that the continuous tension data and discrete tension data match.

[0227] Furthermore, while the amount of groove wear does not change with the cage position, the rope diameter d differs depending on the cage position because the number of bends differs for each section of the rope. This difference in rope diameter d depending on the cage position can also be calculated by comparing the difference between continuous tension data and discrete tension data for each cage position.

[0228] Embodiment 3. Next, Figure 19 is an explanatory diagram showing the relationship between the tension model and input / output data in Embodiment 3. Among the parameters input to the tension model, the groove wear amount changes over time. When the groove wear amount changes, a discrepancy occurs between the continuous tension data and the discrete tension data.

[0229] In contrast, in Embodiment 3, the groove wear amount value for each groove is converged and identified through iterative calculations so that the continuous tension data and discrete tension data match. The basic configuration of the condition monitoring device according to Embodiment 3 is the same as in Figure 14.

[0230] The state monitoring method according to Embodiment 3 includes a tension calculation step and a parameter value update step, similar to those in Embodiment 1. The parameter value update step is to update each groove wear amount so that the continuous tension data and discrete tension data match when the difference between the continuous tension data and discrete tension data is greater than or equal to a difference threshold ε.

[0231] The specific details of the parameter value update step are the same as those described in Figure 18, but with Young's modulus E and cross-sectional area A replaced by groove wear.

[0232] The status monitoring program of Embodiment 3 is a program that causes a computer to execute the status monitoring method described above.

[0233] Furthermore, the recording medium of Embodiment 3 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0234] In this condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, the values ​​for the amount of wear on each groove are updated in response to the aging of the pulley 10. This allows for a more accurate estimation of the tension of each rope 11.

[0235] Furthermore, if there is a difference exceeding the allowable limit between the groove wear amounts in multiple grooves, groove polishing work can be performed at the appropriate time to equalize the depth of the multiple grooves.

[0236] Furthermore, the identified groove wear amounts can be used as indicators to determine the deterioration state of the pulley 10. For example, if the groove wear amount in at least one groove exceeds the allowable value, a command to request replacement of the pulley 10 may be issued.

[0237] Furthermore, the initial values ​​for each groove wear amount may be values ​​identified from discrete tension data, rather than measured values. This eliminates the need to measure the groove depth.

[0238] Furthermore, both the parameter value update step in Embodiment 2 and the parameter value update step in Embodiment 3 may be performed.

[0239] Embodiment 4. Next, Embodiment 4 will be described. The basic configuration of the status monitoring device according to Embodiment 4 is the same as that shown in Figure 14. However, in Embodiment 4, the status monitoring device is a server. That is, the status monitoring device is located remotely from the elevator that is the subject of maintenance work.

[0240] Discrete tension data and groove wear data are transmitted from the maintenance site to the condition monitoring device via a communication network line. Data transmission and reception between the maintenance site and the condition monitoring device is performed using communication equipment carried by the maintenance worker or via the elevator control panel.

[0241] In Embodiment 4, multiple types of data related to rope specifications are incorporated into the tension model as fixed values. That is, multiple types of data related to rope specifications are pre-stored in the monitoring device body 20 by the storage unit 22.

[0242] Figure 20 is a flowchart showing part of the operation of the condition monitoring device according to Embodiment 4. The monitoring device body 20 performs the adjustment amount transmission process shown in Figure 20 during elevator maintenance and inspection.

[0243] In step S301, the monitoring device 20 acquires discrete tension data and groove wear data via a communication network line. The discrete tension data and groove wear data are transmitted from the maintenance work site to the monitoring device 20 via the communication network line.

[0244] In step S302, the monitoring device body 20 calculates continuous tension data. Then, in step S303, the monitoring device body 20 determines whether the maximum value of tension included in the continuous tension data, i.e., the maximum tension, exceeds the maximum allowable value. The monitoring device body 20 has a maximum allowable value pre-set as the tension allowable value.

[0245] If the maximum tension exceeds the maximum allowable value, the monitoring device 20 calculates the tension adjustment amount in step S304 so that the maximum tension becomes less than or equal to the maximum allowable value. The monitoring device 20 then transmits the adjustment amount to the maintenance work site via the communication network line.

[0246] The maintenance worker adjusts the tension of each rope 11 based on the received adjustment amount and transmits the adjusted discrete tension data to the monitoring device 20.

[0247] In step S303, the monitoring device body 20 terminates the adjustment amount transmission process if the maximum tension is less than or equal to the maximum allowable value.

[0248] The state monitoring method according to Embodiment 4 includes a tension calculation step and an adjustment amount transmission step, similar to those in Embodiment 1. The adjustment amount transmission step determines whether the tension of each rope 11 is outside the allowable tension value based on continuous tension data, and if it is outside the allowable tension value, it transmits the calculated tension adjustment amount.

[0249] The status monitoring program of Embodiment 4 is a program that causes a computer to execute the status monitoring method described above.

[0250] Furthermore, the recording medium of Embodiment 4 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0251] In this condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, if the maximum tension exceeds the allowable value, the amount of tension adjustment is transmitted to the maintenance work site. Therefore, tension adjustment work can be easily performed, and maintenance work time can be shortened. In addition, by setting the tension of each rope 11 to an appropriate size, it is possible to prevent the lifespan of each rope 11 from being shortened.

[0252] Furthermore, the reacquisition of discrete tension data after tension adjustment may be omitted.

[0253] Furthermore, the elevator being maintained may have its tension measured at a predetermined interval and the discrete tension data transmitted to the condition monitoring device. Additionally, a groove depth measuring device for measuring the depth of each groove in the pulley 10 may be installed near the pulley 10. Furthermore, the elevator may measure the depth of each groove at a predetermined interval and transmit the data regarding the amount of groove wear to a condition monitoring device.

[0254] In this case, the monitoring device body 20 may perform adjustment amount transmission processing when it receives discrete tension data and data related to groove wear. Maintenance workers can adjust the tension of each rope 11 during maintenance work based on the adjustment amount transmitted by the latest adjustment amount transmission processing.

[0255] Figure 21 is a flowchart showing part of the operation of the condition monitoring device according to the first modified example of Embodiment 4. In the adjustment amount transmission process in the first modified example, a preset minute adjustment amount is transmitted to the elevator one or more times.

[0256] In the first modified example, if the monitoring device body 20 in step S303 exceeds the maximum allowable value, in step S305 it transmits -ΔT as the tension adjustment amount to the maintenance work site.

[0257] Also, when the maximum tension is less than or equal to the maximum allowable value, in step S306, the monitoring device main body 20 determines whether the minimum value of the tension included in the continuous tension data, that is, the minimum tension, is less than the minimum allowable value. A minimum allowable value is preset in the monitoring device main body 20 as the tension allowable value.

[0258] When the minimum tension is less than the minimum allowable value, in step S307, the monitoring device main body 20 transmits +ΔT as the tension adjustment amount to the maintenance work site. The value of ΔT is preset in the monitoring device main body 20.

[0259] After transmitting the tension adjustment amount in step S305 or step S307, in step S308, the monitoring device main body 20 transmits a cage travel command to the maintenance work site.

[0260] Based on the received adjustment amount, the maintenance worker adjusts the tension of each rope 11, then makes the cage 12 travel back and forth only once, and transmits the discrete tension data after adjustment to the monitoring device main body 20.

[0261] Such tension adjustment is repeated until the maximum tension is less than or equal to the maximum allowable value and the minimum tension is greater than or equal to the minimum allowable value.

[0262] The adjustment amount transmission step in the first modification example is a step of determining whether the tension of each rope 11 deviates from the tension allowable value based on the continuous tension data, and transmitting a preset tension adjustment amount when it deviates from the tension allowable value.

[0263] FIG. 22 is a flowchart showing a part of the operation of the state monitoring device according to the second modification example of Embodiment 4. The state monitoring device in the second modification example is a portable computer carried by a maintenance worker instead of a server.

[0264] Therefore, the calculated adjustment amount is displayed on the state monitoring device itself. Also, the data regarding the amount of groove wear and the discrete tension data are directly input into the state monitoring device.

[0265] According to the second modified state monitoring device, even for elevators that are not connected to a network, the tension can be easily adjusted by performing the same processing as a server.

[0266] Embodiment 5. Next, Embodiment 5 will be described. The basic configuration of the status monitoring device according to Embodiment 5 is the same as that shown in Figure 14. In addition, the status monitoring device in Embodiment 5 is a server.

[0267] The elevator being maintained measures the tension of each rope 11 at a predetermined interval and transmits it as discrete tension data. The condition monitoring device receives the discrete tension data via a communication network line.

[0268] Figure 23 is a flowchart showing part of the operation of the condition monitoring device according to Embodiment 5. In step S401, the monitoring device body 20 acquires discrete tension data via a communication network line. Data related to rope specifications and data related to groove wear are stored in the monitoring device body 20 in advance.

[0269] In step S402, the monitoring device body 20 calculates continuous tension data. Then, in step S403, the monitoring device body 20 determines whether the maximum value of the tension included in the continuous tension data, i.e., the maximum tension, exceeds the maximum allowable value. The monitoring device body 20 has a maximum allowable value preset.

[0270] If the maximum tension exceeds the maximum allowable value, the monitoring device 20 issues a maintenance command in step S404, that is, it notifies the control room that maintenance work is required. If the maximum tension does not exceed the maximum allowable value, the monitoring device 20 waits for the next discrete tension data to be received.

[0271] The condition monitoring method according to Embodiment 5 includes a tension calculation step and a maintenance command notification step, similar to those in Embodiment 1. The maintenance command notification step determines, based on continuous tension data, whether the tension of each rope 11 is outside the allowable tension value, and if it is outside the allowable tension value, it notifies that maintenance work is required.

[0272] The status monitoring program of Embodiment 5 is a program that causes a computer to execute the status monitoring method described above.

[0273] Furthermore, the recording medium in Embodiment 5 is a computer-readable recording medium that stores an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. The processing described in the status monitoring program read from the storage medium is then executed by the computer.

[0274] In this type of condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, a maintenance command is issued when the maximum tension exceeds the allowable tension value. This allows the tension of each rope 11 to be adjusted at a more appropriate time, thereby preventing a shortened lifespan for each rope 11.

[0275] Furthermore, it helps to curb excessive maintenance work and optimize the allocation of maintenance personnel.

[0276] Furthermore, it becomes possible to more clearly define the scope of maintenance work and shorten the maintenance work time.

[0277] Furthermore, by optimizing the timing of maintenance work, it is possible to suppress vibrations, abnormal noises, and other issues that may occur due to the deterioration of elevator performance.

[0278] In addition, the tension tolerance in Embodiment 5 may be the minimum tolerance, or it may be both the maximum and minimum tolerances.

[0279] Embodiment 6. Next, Embodiment 6 will be described. The basic configuration of the state monitoring device according to Embodiment 6 is the same as that in FIG. 14. Further, the state monitoring device of Embodiment 6 is a server.

[0280] The elevator to be maintained measures the tension of each rope 11 at a preset cycle and transmits it as discrete tension data. The state monitoring device receives the discrete tension data via a communication network line.

[0281] FIG. 24 is a flowchart showing a part of the operation of the state monitoring device according to Embodiment 6. The monitoring device main body 20 acquires discrete tension data via a communication network line in step S501. Data regarding the rope specifications and data regarding the groove wear amount are pre-stored in the monitoring device main body 20.

[0282] After that, the monitoring device main body 20 calculates continuous tension data, which is omitted in FIG. 24. Further, the monitoring device main body 20 extracts aging change data in step S502. The aging change data is the current value of the parameters that change over time among the plurality of parameters input to the tension model.

[0283] Examples of the parameters that change over time include the Young's modulus E of the rope 11, the cross-sectional area A of the rope 11, and the groove wear amount. The current values of these parameters can be identified by the methods shown in Embodiment 2 and Embodiment 3.

[0284] Next, the monitoring device main body 20 determines whether there is an abnormality in the aging change data in step S503. Aging change allowable values are set in the monitoring device main body 20 for each parameter that changes over time. The monitoring device main body 20 compares each parameter that changes over time with the corresponding aging change allowable value.

[0285] If there is an abnormality in the aging data, that is, if there is a parameter that exceeds the allowable value for aging, the monitoring device unit 20 issues a maintenance command in step S504. If there is no abnormality in the aging data, the monitoring device unit 20 waits for the next discrete tension data to be received.

[0286] The state monitoring method according to Embodiment 6 includes a tension calculation step and an aging change monitoring step, similar to those in Embodiment 1. The aging change monitoring step determines whether a parameter among several parameters that changes over time falls outside the acceptable aging change value, and if it falls outside the acceptable aging change value, it issues an alert indicating that maintenance work is required.

[0287] The status monitoring program of Embodiment 6 is a program that causes a computer to execute the status monitoring method described above.

[0288] Furthermore, the recording medium in Embodiment 6 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0289] Such a condition monitoring method, condition monitoring program, recording medium, and condition monitoring device can detect deterioration of at least one of the rope 11 and pulley 10 at an early stage, enabling maintenance work to be carried out at a more appropriate time.

[0290] Embodiment 7. Next, Embodiment 7 will be described. The basic configuration of the status monitoring device according to Embodiment 7 is the same as that shown in Figure 14. In addition, the status monitoring device in Embodiment 7 is a server.

[0291] Discrete tension data and groove wear data are transmitted from the maintenance site to the condition monitoring device via a communication network line. Data transmission and reception between the maintenance site and the condition monitoring device is performed using communication equipment carried by the maintenance worker or via the elevator control panel.

[0292] In Embodiment 7, multiple types of data related to rope specifications are incorporated into the tension model as fixed values. That is, multiple types of data related to rope specifications are pre-stored in the monitoring device body 20 by the storage unit 22.

[0293] Figure 25 is a flowchart showing part of the operation of the condition monitoring device according to Embodiment 7. The monitoring device body 20 performs the adjustment amount transmission process shown in Figure 25 during elevator maintenance and inspection.

[0294] In step S601, the monitoring device 20 acquires discrete tension data and groove wear data via a communication network line. The discrete tension data and groove wear data are transmitted from the maintenance work site to the monitoring device 20 via the communication network line.

[0295] Next, the monitoring device body 20 calculates continuous tension data, but this is omitted in Figure 25. In step S602, the monitoring device body 20 also calculates the maximum difference, which is the difference between the maximum and minimum depths of the groove in the pulley 10.

[0296] Next, in step S603, the monitoring device body 20 determines whether the maximum difference exceeds the maximum difference tolerance value. The monitoring device body 20 has a maximum difference tolerance value pre-set.

[0297] If the maximum difference exceeds the maximum allowable difference, the monitoring device body 20 calculates the amount of tension adjustment for each rope 11 in step S604. Then, the monitoring device body 20 transmits the tension adjustment amount via the communication network line.

[0298] The monitoring device body 20 calculates the amount of tension adjustment for each rope 11 so that the depths of the multiple grooves approach a uniform value.

[0299] Specifically, the monitoring device body 20 calculates the adjustment amount so as to lower the tension of the rope 11 corresponding to grooves with a large amount of groove wear, and increase the tension of the rope 11 corresponding to grooves with a small amount of groove wear. By increasing the tension of the rope 11, the amount of groove wear in the corresponding groove increases after the tension adjustment. By decreasing the tension of the rope 11, the amount of groove wear in the corresponding groove decreases after the tension adjustment.

[0300] The maintenance worker adjusts the tension of each rope 11 based on the adjustment amount received.

[0301] In step S603, the monitoring device 20 terminates the adjustment amount transmission process if the maximum difference is less than or equal to the maximum difference tolerance value.

[0302] The state monitoring method according to Embodiment 7 includes a tension calculation step and an adjustment amount transmission step, similar to those in Embodiment 1. The adjustment amount transmission step determines whether the maximum difference in depth of the multiple grooves falls outside the maximum difference tolerance value, and if it falls outside the maximum difference tolerance value, it transmits the calculated tension adjustment amount.

[0303] The status monitoring program of Embodiment 7 is a program that causes a computer to execute the status monitoring method described above.

[0304] Furthermore, the recording medium in Embodiment 7 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0305] In this type of condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, the amount of tension adjustment is transmitted to the maintenance site when the maximum difference exceeds the maximum difference tolerance. Therefore, tension adjustment can be easily performed, and maintenance time can be reduced.

[0306] Furthermore, the depths of the multiple grooves can be gradually made closer to a uniform value, thereby extending the lifespan of the pulley 10. In addition, the extended lifespan of the pulley 10 reduces the effort required for pulley replacement and groove machining.

[0307] Furthermore, it is possible to suppress the tension difference between multiple ropes 11 caused by differences in groove depth, thereby extending the lifespan of each rope 11.

[0308] Figure 26 is a flowchart showing part of the operation of the condition monitoring device according to a modified example of Embodiment 7.

[0309] In the modified version, the monitoring device body 20 acquires discrete tension data and data related to groove wear in step S701.

[0310] Next, the monitoring device body 20 calculates continuous tension data, but this is omitted in Figure 26. In step S702, the monitoring device body 20 calculates the average value of the depths of the multiple grooves and selects the rope number i of the rope 11 corresponding to the deepest groove and the rope number j of the rope 11 corresponding to the shallowest groove.

[0311] Next, in step S703, the monitoring device body 20 determines whether tension adjustment is necessary using the depth difference tolerance value. The monitoring device body 20 has a depth difference tolerance value pre-set.

[0312] Specifically, in step S703, the monitoring device body 20 determines whether the difference between the depth of the deepest groove and the average value exceeds the allowable depth difference. If it exceeds the allowable depth difference, in step S704, the monitoring device body 20 provisionally sets -ΔT as the amount of tension adjustment for rope 11 of rope number i.

[0313] Furthermore, in step S703, the monitoring device body 20 determines whether the difference between the depth of the shallowest groove and the average value exceeds the allowable depth difference. If it exceeds the allowable depth difference, in step S704, the monitoring device body 20 provisionally sets +ΔT as the adjustment amount for the tension on rope 11 of rope number j.

[0314] If neither the difference between the depth of the deepest groove and the average value, nor the difference between the depth of the shallowest groove and the average value, exceeds the allowable depth difference, the monitoring device 20 determines that tension adjustment is unnecessary and terminates the process for that round.

[0315] When a tension adjustment amount ΔT is applied, the overall rope tension behavior changes, and the adjusted maximum tension may exceed the maximum allowable value. Therefore, in step S705, the monitoring device body 20 calculates continuous tension data based on the provisionally set adjustment amount. The monitoring device body 20 then determines whether the maximum tension is less than or equal to the maximum allowable value.

[0316] If the maximum tension exceeds the maximum allowable value, the monitoring device body 20 reduces the adjustment amount in step S707. For example, if the provisionally set adjustment amount is +ΔT, the provisionally set value of the adjustment amount is corrected to +ΔT-t. Also, if the provisionally set adjustment amount is -ΔT, the provisionally set value of the adjustment amount is corrected to -ΔT+t. The reduction amount t is a value smaller than ΔT.

[0317] The monitoring device body 20 repeats the process from step S705 to step S707 until the maximum tension is less than or equal to the maximum allowable value.

[0318] If the maximum tension is less than or equal to the maximum allowable value, the monitoring device body 20 sets the adjustment amount in step S708 and transmits tension adjustment information, which associates the rope number with the adjustment amount, to the elevator via the communication network line.

[0319] Maintenance workers adjust the tension of each rope 11 based on the received adjustment amount. Lowering the tension reduces the surface pressure acting on the groove, thereby slowing down the wear rate of the groove. Conversely, increasing the tension increases the surface pressure acting on the groove, thereby increasing the wear rate of the groove.

[0320] The condition monitoring method according to a modification of Embodiment 7 includes a tension calculation step and an adjustment amount transmission step, similar to those in Embodiment 1. In the adjustment amount transmission step, it is determined whether at least one of the difference between the depth of the deepest groove and the average value, and the difference between the depth of the shallowest groove and the average value, exceeds the depth difference tolerance. If the depth difference tolerance is exceeded, tension adjustment information is transmitted.

[0321] The modified state monitoring program of Embodiment 7 is a program that causes a computer to execute the state monitoring method described above.

[0322] Furthermore, the recording medium according to the modification of Embodiment 7 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the above-described status monitoring method. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0323] With such a condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, tension adjustment can be easily performed, thereby reducing maintenance time.

[0324] Furthermore, continuous tension data is calculated based on the provisionally set adjustment amount, and the adjustment amount is corrected so that the maximum tension is less than or equal to the maximum allowable value. Therefore, it is possible to equalize the amount of groove wear within an appropriate range of tension fluctuations.

[0325] Furthermore, similar to the second modified example of Embodiment 4 shown in Figure 22, the status monitoring device in Embodiment 7 may be a portable computer carried by a maintenance worker, rather than a server.

[0326] Furthermore, in the adjustment amount transmission step in embodiments 4 and 7, before transmitting the adjustment amount, it may be determined whether adjustment by the adjustment amount is feasible based on the thread allowance of the tension adjustment screw, the rope safety factor, etc. If it is determined that adjustment is not feasible, a notification that adjustment is not possible may be sent. Upon notification that adjustment is not possible, maintenance workers can machine each groove or replace the pulley 10.

[0327] Embodiment 8. Next, Embodiment 8 will be described. The basic configuration of the condition monitoring device according to Embodiment 8 is the same as that shown in Figure 14.

[0328] Figure 27 is a flowchart showing the maintenance timing calculation process by the condition monitoring device of Embodiment 8.

[0329] The maintenance timing calculation process calculates an estimated value based on a time-dependent change function, and then calculates the maintenance timing based on the continuous tension data calculated using the estimated value. The maintenance timing is the period when maintenance work is required.

[0330] The time-dependent function is a function that shows the time-dependent change of the parameter to be estimated due to the movement of the elevator car 12. The parameter to be estimated is at least one of several parameters. The time-dependent function is obtained, for example, from test evaluation results and is stored in advance in the monitoring device body 20. The estimated value is the future value of the parameter to be estimated.

[0331] The parameter to be estimated in Embodiment 8 is the amount of groove wear. The time-dependent function in Embodiment 8 is the groove wear function. The groove wear function is a function that shows the relationship between the travel distance of the cage 12 and the amount of groove wear in each groove. The estimated value is the future value of the groove wear.

[0332] In step S801, the monitoring device body 20 acquires discrete tension data and data related to groove wear. Multiple types of data related to rope specifications are incorporated into the tension model as fixed values ​​in Embodiment 8.

[0333] Next, in step S802, the monitoring device body 20 calculates multiple estimated values ​​corresponding to different travel distances. Then, in step S803, the monitoring device body 20 calculates multiple continuous tension data corresponding to each of the multiple estimated values.

[0334] Subsequently, in step S804, the monitoring device 20 calculates the maintenance timing. Specifically, the monitoring device 20 determines the maximum tension from each continuous tension data and selects the travel distance at which the maximum tension exceeds the maximum allowable value. Then, it sets the maintenance timing as the distance obtained by subtracting the set distance from the selected travel distance, or the distance obtained by multiplying the selected travel distance by a safety factor. The safety factor is a positive value less than 1.

[0335] Figure 28 is a flowchart showing the maintenance timing monitoring process by the condition monitoring device of Embodiment 8.

[0336] The maintenance timing monitoring process is a process that monitors whether the maintenance timing has been reached based on the cumulative mileage traveled by the elevator car 12.

[0337] The cumulative mileage of elevator car 12 can be calculated from the number of times the car is started and the number of days the elevator is in operation. The number of times the car is started is the number of times the elevator serves passengers in a day, and is, for example, the number of times anticipated in advance when the elevator was delivered, or the average number of starts over a certain period based on actual operating data. In addition, the cumulative mileage of elevator car 12 can also be obtained by receiving information on the actual mileage from the elevator's control panel.

[0338] In step S805, the monitoring device 20 acquires data necessary for calculating continuous tension data and data related to the cumulative travel distance of the cage 12. Then, in step S806, the monitoring device 20 calculates the continuous tension data.

[0339] Next, in step S807, the monitoring device 20 determines whether the maintenance period calculated by the maintenance period calculation process has been reached.

[0340] If the maintenance period has not yet been reached, the monitoring device 20 corrects the data of modifiable parameters in step S808. This improves the accuracy of the continuous tension data over the future cumulative mileage.

[0341] When the maintenance period is reached, the monitoring device unit 20 alerts the control room in step S809 that the maintenance period has been reached.

[0342] The condition monitoring method according to Embodiment 8 includes the same tension calculation step, maintenance timing calculation step, and maintenance timing monitoring step as in Embodiment 1. The maintenance timing calculation step is a step of calculating an estimated value of the future groove wear amount based on the groove wear function, and calculating the maintenance timing based on the continuous tension data calculated using the estimated value. The maintenance timing monitoring step is a step of monitoring whether the maintenance timing has been reached based on the cumulative mileage of the cage 12.

[0343] The status monitoring program of Embodiment 8 is a program that causes a computer to execute the status monitoring method described above.

[0344] Furthermore, the recording medium of Embodiment 8 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0345] With such a condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, it is possible to estimate in advance when maintenance work will be required, thereby enabling efficient maintenance planning and optimizing the workload of maintenance personnel.

[0346] Furthermore, because maintenance is monitored to determine if it is time for maintenance, maintenance work can be carried out more reliably, and the elevator can be kept in better condition.

[0347] Next, a modified example of Embodiment 8 will be described. The basic configuration of the condition monitoring device according to the modified example of Embodiment 8 is the same as that shown in Figure 14.

[0348] Figure 29 is an explanatory diagram showing the relationship between the tension model and input / output data in a modified example of Embodiment 8. Multiple types of data related to rope specifications include Young's modulus E, cross-sectional area A, rope diameter d, linear density ρ, number of ropes N, and shackle stiffness ks. In the modified example of Embodiment 8, the amount of groove wear is calculated by substituting multiple types of data related to rope specifications and discrete tension data into the tension model. The relationship between the tension model and input / output data in the modified example of Embodiment 8 differs from the relationship between the tension model and input / output data in Embodiment 8 in that it calculates the amount of groove wear.

[0349] Figure 30 is a flowchart showing the maintenance timing monitoring process according to a modified example of Embodiment 8. The maintenance timing monitoring process calculates the groove wear amount and continuous tension data based on the cumulative mileage of the cage 12, and monitors whether the maintenance time has been reached.

[0350] In step S805a, the monitoring device body 20 acquires data necessary for calculating continuous tension data and data related to the cumulative travel distance of the cage 12. Then, in step S805b, the monitoring device body 20 calculates the groove wear amount according to the cumulative travel distance of the cage 12 using the process shown in Figure 29. Then, in step S806, the continuous tension data is calculated using the calculated groove wear amount, the data necessary for calculating continuous tension data acquired in step S805a, and the data related to the cumulative travel distance of the cage 12.

[0351] Next, in step S807, the monitoring device 20 determines whether the maintenance period calculated by the maintenance period calculation process has been reached.

[0352] If the maintenance period has not yet been reached, the monitoring device 20 corrects the data of modifiable parameters in step S808. This improves the accuracy of the continuous tension data over the future cumulative mileage.

[0353] When the maintenance period is reached, the monitoring device unit 20 alerts the control room in step S809 that the maintenance period has been reached.

[0354] The condition monitoring method according to a modification of Embodiment 8 includes the same tension calculation step, maintenance timing calculation step, and maintenance timing monitoring step as in Embodiment 1. The maintenance timing calculation step is to calculate an estimated value of the future groove wear amount based on the groove wear function, and to calculate the maintenance timing based on the continuous tension data calculated using the estimated value. The maintenance timing monitoring step is to monitor whether the maintenance timing has been reached based on the cumulative mileage of the cage 12.

[0355] The modified state monitoring program of Embodiment 8 is a program that causes a computer to execute the above state monitoring method.

[0356] Furthermore, the recording medium according to the modification of Embodiment 8 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the above-described status monitoring method. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0357] According to the modified state monitoring method, state monitoring program, recording medium, and state monitoring device of Embodiment 8, the same effects as those of Embodiment 8 can be obtained.

[0358] Furthermore, according to the modified embodiment of Embodiment 8, the work of measuring the amount of groove wear can be omitted, thereby reducing the workload of maintenance personnel.

[0359] Embodiment 9. Next, Embodiment 9 will be described. The basic configuration of the condition monitoring device according to Embodiment 9 is the same as that shown in Figure 14.

[0360] Furthermore, the status monitoring device of Embodiment 9 performs the same maintenance timing calculation process as in Figure 27 and the same maintenance timing monitoring process as in Figure 28. However, in Embodiment 9, step S803 in Figure 27 is omitted.

[0361] The parameters to be estimated in Embodiment 9 are the Young's modulus E and cross-sectional area A of each rope 11. The time-dependent function in Embodiment 9 is the rope time-dependent function. The rope time-dependent function is a function that shows the relationship between the distance traveled by the cage 12 and the Young's modulus E and cross-sectional area A. The estimated values ​​are the future Young's modulus E and future cross-sectional area A of each rope 11.

[0362] In step S801 of Figure 27, the monitoring device body 20 acquires discrete tension data and multiple types of data related to rope specifications.

[0363] Next, in step S802, the monitoring device body 20 calculates multiple estimated values ​​corresponding to different mileage distances.

[0364] Subsequently, in step S804, the monitoring device 20 calculates the maintenance timing. Specifically, the monitoring device 20 selects the mileage at which either the Young's modulus E or the cross-sectional area A falls outside the allowable value. Then, it determines the maintenance timing as the distance obtained by subtracting the set distance from the selected mileage, or by multiplying the selected mileage by a safety factor.

[0365] The maintenance timing monitoring process is the same as in Embodiment 8.

[0366] The condition monitoring method according to Embodiment 9 includes the same tension calculation step, maintenance timing calculation step, and maintenance timing monitoring step as in Embodiment 1. The maintenance timing calculation step is a step of calculating estimated values ​​of the future Young's modulus E and future cross-sectional area A based on the rope time function, and calculating the maintenance timing based on the estimated values. The maintenance timing monitoring step is a step of monitoring whether the maintenance timing has been reached based on the cumulative mileage of the cage.

[0367] The status monitoring program of Embodiment 9 is a program that causes a computer to execute the status monitoring method described above.

[0368] Furthermore, the recording medium in Embodiment 9 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0369] With such a condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, it is possible to estimate in advance when maintenance work will be required, thereby enabling efficient maintenance planning and optimizing the workload of maintenance personnel.

[0370] Furthermore, because maintenance is monitored to determine if it is time for maintenance, maintenance work can be carried out more reliably, and the elevator can be kept in better condition.

[0371] In embodiments 8 and 9, a function update process may be performed to update the time-dependent function. Specifically, in the function update process, a set distance is set in advance, and an estimated value when the set distance is reached is calculated in advance using the time-dependent function. When the cumulative distance traveled by the car 12 reaches the set distance, the difference between the current measured value or estimated value of the parameter to be estimated and the previously calculated estimated value is calculated. The time-dependent function is updated so that this difference becomes smaller.

[0372] Furthermore, the updated time-dependent function may be uploaded to the server. The server stores multiple groove wear functions collected from many elevators, categorized by elevator type, and the time-dependent function is optimized based on this data. The optimized time-dependent function is then transferred from the server to each elevator, and the groove wear function in each elevator is updated to the latest state.

[0373] In this way, by continuously updating the time-series function, the accuracy of the time-series function can be improved, and consequently, the accuracy of the estimated values ​​can be improved. This allows for the setting of more appropriate maintenance periods.

[0374] Embodiment 10. Next, Embodiment 10 will be described. The basic configuration of the status monitoring device according to Embodiment 10 is the same as that shown in Figure 14. In addition, the status monitoring device in Embodiment 10 is a server.

[0375] The monitoring device 20 stores the machining amount for each groove as a parameter. The initial value of the machining amount is 0.

[0376] Figure 31 is a flowchart showing part of the operation of the condition monitoring device according to Embodiment 10. In step S901, the monitoring device body 20 acquires discrete tension data, multiple types of data related to rope specifications, data related to groove wear, etc., via a communication network line. Some of the multiple types of data related to rope specifications, for example, the rope diameter d, may be a fixed value.

[0377] Next, in step S902, the monitoring device body 20 calculates continuous tension data.

[0378] Subsequently, in step S903, the monitoring device body 20 determines whether the tension state is below a reference value. Specifically, the monitoring device body 20 determines whether the maximum tension and the amount of tension fluctuation are each below a preset reference value.

[0379] If the tension is below the standard value, the monitoring device body 20 sets the groove machining amount in step S904, transmits the set machining amount to the elevator, and terminates the process. The maintenance worker mechanically machines each groove according to the transmitted machining amount. If the machining amount is the initial value of 0, no machining is required.

[0380] If the tension condition exceeds the standard value, the monitoring device body 20 updates the processing amount of each groove by a set amount in step S905.

[0381] Then, in step S906, the monitoring device body 20 determines whether the updated processing amount is feasible.

[0382] Specifically, the monitoring device 20 determines whether the work time required to process the updated processing amount is less than or equal to the set time. If it is less than or equal to the set time, it determines that it is feasible; if it exceeds the set time, it determines that it is not feasible.

[0383] Furthermore, the monitoring device body 20 determines whether the strength of the pulley 10 is equal to or greater than the set strength based on the updated processing amount. If it is equal to or greater than the set strength, it determines that it is feasible; if it is less than the set strength, it determines that it is not feasible.

[0384] If the updated machining amount is feasible, the monitoring device 20 returns to the process in step S901. Then, in step S902, the monitoring device 20 calculates continuous tension data, taking the updated machining amount into consideration. The monitoring device 20 repeats the above process until the tension state falls below the reference value.

[0385] If it is impossible to process the updated amount of material, and it is difficult to reduce the tension to below the standard value even if the amount of material is increased, the monitoring device 20 sends an equipment replacement command to the elevator in step S907 and terminates the process.

[0386] The state monitoring method according to Embodiment 10 includes a tension calculation step, a machining determination step, and a machining amount setting step, similar to those in Embodiment 1. The machining determination step is a step to determine whether machining is necessary for each groove based on continuous tension data. The machining amount setting step is a step to set the machining amount if it is determined that machining is necessary.

[0387] The status monitoring program in Embodiment 10 is a program that causes a computer to execute the status monitoring method described above.

[0388] Furthermore, the recording medium in Embodiment 10 is a computer-readable recording medium that records an elevator status monitoring program that causes a computer to execute the status monitoring method described above. The status monitoring program is stored in a readable format on a storage medium (for example, memory 202 in Figure 33) as a recording medium. Then, the processing described in the status monitoring program read from the storage medium is executed by the computer.

[0389] In this condition monitoring method, condition monitoring program, recording medium, and condition monitoring device, it is determined whether machining is required for each groove, and if so, the amount of machining is set. This improves the efficiency of maintenance work on the pulley 10.

[0390] Furthermore, in the processing amount setting step, it is determined whether machining is feasible, and if not, a command to replace the equipment is sent. This allows for equipment replacement to be carried out at a more appropriate time.

[0391] In embodiments 1 to 10, the multiple parameters used as input data for the tension model may include data other than those mentioned above, such as the loading history data of the cage 12, the actual driving history data of the cage 12, and data related to the friction state. This can improve the estimation accuracy.

[0392] The loading history data is data relating to the load amount of the cage 12 for each trip. The travel history data is data relating to the distance traveled by the cage 12 for each trip, and can be obtained from the number of rotations of the pulley 10. The friction condition data is data relating to the coefficient of friction between the pulley 10 and the rope 11, and can be obtained from a function that uses at least one of the following as parameters: viscosity of lubricating oil, temperature of the operating environment, humidity of the operating environment, surface pressure between the pulley 10 and the rope 11.

[0393] Furthermore, the time-series change function may include parameters such as the loading history data of the cage 12, the actual travel history data of the cage 12, and the acceleration / deceleration history data of the cage 12. This allows for a more accurate estimation of the degree of aging of each component by more accurately estimating the continuous tension data. The acceleration / deceleration history data is data related to the position where the cage 12 accelerated or decelerated for each trip the cage 12 took.

[0394] Furthermore, the aging function may include the number of bends at each part of the rope 11 as a parameter. This allows for a more accurate estimation of the degree of aging at each part of the rope 11.

[0395] Furthermore, the method for acquiring discrete tension data is not limited to measurement using the tension measuring device 25. For example, the tension value may be converted from the vibration period of the rope 11 obtained by the impact vibration method.

[0396] Furthermore, the term "rope" in this disclosure refers to a rope in a broad sense, including, for example, a belt used to suspend a basket.

[0397] Furthermore, the elevator may be an elevator with a machine room, a machine room-less elevator, a double-deck elevator, or a single-shaft multi-car elevator. In a single-shaft multi-car elevator, the upper car and the lower car located directly below the upper car each move independently up and down a common hoistway.

[0398] Furthermore, embodiments 2 to 10 can be implemented in combination as appropriate.

[0399] As an example, Embodiment 8 and Embodiment 9 may be combined. In this case, the monitoring device body 20 calculates continuous tension data using the future Young's modulus E and future cross-sectional area A of the rope 11, and the future groove wear amount of the pulley 10. As a result, continuous tension data for the future cumulative mileage can be calculated with higher accuracy, and the accuracy of determining when maintenance is due is improved.

[0400] As another example, Embodiment 6, Embodiment 8, and Embodiment 9 may be combined and implemented. In this case, the monitoring device body 20 calculates continuous tension data using the future Young's modulus E value and future cross-sectional area A value of the rope 11, and the future groove wear amount value of the pulley 10. Furthermore, the monitoring device body 20 determines whether there is an abnormality in the aging change data for parameters that change over time (future Young's modulus E value, future cross-sectional area A value, future groove wear amount value). This makes it possible to determine which of the parameters that change over time has reached the allowable aging change value when the maintenance period is reached, and to determine whether the rope 11 or the pulley 10 is deteriorating. As a result, deteriorated areas can be determined early, and the efficiency of maintenance work can be improved.

[0401] As another example, Embodiment 7 and Embodiment 10 may be implemented in combination. In this case, in the operation of the status monitoring device of Embodiment 10, if the monitoring device body 20 determines in step S906 of Figure 31 that the time required to process the updated processing amount exceeds the set time and is therefore impossible to achieve, it calculates the amount to adjust the tension of each rope 11 so that the depths of the multiple grooves approach a uniform value, using the process shown in Embodiment 7. The maintenance worker adjusts the tension of each rope 11 based on the received adjustment amount. In this way, by implementing Embodiment 7 and Embodiment 10 in combination, even if the work time required to process each groove cannot be secured, the groove depth can be adjusted so that the groove depth of each groove reaches a desired state.

[0402] The combinations of embodiments described above are examples, and other combinations may also be used.

[0403] Furthermore, each function of the monitoring device body 20 in embodiments 1 to 10 is realized by a processing circuit. Figure 32 is a configuration diagram showing a first example of a processing circuit that realizes each function of the monitoring device body 20 in embodiments 1 to 10. The processing circuit 100 in the first example is dedicated hardware.

[0404] Furthermore, the processing circuit 100 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. In addition, each function of the monitoring device body 20 may be implemented by an individual processing circuit 100, or all functions may be implemented together by the processing circuit 100.

[0405] Figure 33 is a configuration diagram showing a second example of a processing circuit that realizes each function of the monitoring device body 20 of Embodiments 1 to 10. The processing circuit 200 of the second example includes a processor 201 and a memory 202.

[0406] In the processing circuit 200, each function of the monitoring device body 20 is realized by software, firmware, or a combination of software and firmware. The software and firmware are written as programs and stored in memory 202. The processor 201 realizes each function by reading and executing the programs stored in memory 202.

[0407] The program stored in memory 202 can be said to cause the computer to execute the procedures or methods of each of the parts described above. Here, memory 202 refers to 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). Magnetic disks, flexible disks, optical disks, compact disks, minidiscs, DVDs, etc., also fall under the category of memory 202.

[0408] Furthermore, some of the functions of the above-mentioned parts may be implemented using dedicated hardware, while others may be implemented using software or firmware.

[0409] Thus, the processing circuit can realize the functions of each of the parts described above through hardware, software, firmware, or a combination thereof. [Explanation of Symbols]

[0410] 10. Pulley, 11. Rope, 12. Cage, 13. Counterweight, 20. Monitoring device body.

Claims

1. A tension calculation step in which, for each of the multiple ropes that are wound around a pulley having multiple grooves and suspend a basket and a counterweight, the winding side and unwinding side relative to the pulley are modeled as springs, and the tension of each of the multiple ropes is calculated using a tension model consisting of multiple equations of motion. Includes, The aforementioned tension model is, The input data includes discrete tension data, which includes the measured tension of each rope when the cage is located at a measurement position within the hoistway, and a plurality of parameters. The output data is continuous tension data, which is continuous data of the tension of each rope, including the estimated value of the tension of each rope when the basket is located at a position other than the measurement position. An elevator condition monitoring method in the tension model described above, wherein the amount of displacement applied to the pulley-side end of each winding-side portion and each unwinding-side portion is the free length of the rope, which is the amount of winding by the pulley minus the amount of rope elongation in the winding-side portion.

2. The elevator status monitoring method according to claim 1, wherein the tension model uses the measured value of the depth of each groove as input data for the tension model.

3. The elevator condition monitoring method according to claim 1 or claim 2, wherein the amount of rope elongation is a value proportional to the free length of the rope and the tension of the winding side portion.

4. The elevator status monitoring method according to claim 1 or claim 2, wherein the free length of the rope is a function of the amount of winding and the tension of the winding side portion.

5. The elevator status monitoring method according to claim 1 or claim 2, wherein the length of the winding side portion and the length of the unwinding side portion are calculated from the free length of the rope.

6. The tension of the winding portion is calculated from the difference in displacement between the upper and lower ends of the winding portion. The elevator condition monitoring method according to claim 1 or claim 2, wherein the tension of the extension portion is calculated from the difference in displacement between the upper end and the lower end of the extension portion.

7. The rope stiffness of the winding portion is a function of the Young's modulus of the rope, the cross-sectional area of ​​the rope, and the length of the winding portion. The elevator condition monitoring method according to claim 1 or claim 2, wherein the rope stiffness of the extension portion is a function of the Young's modulus of the rope, the cross-sectional area of ​​the rope, and the length of the extension portion.

8. A parameter value update step is performed if the difference between the continuous tension data and the discrete tension data is greater than or equal to a difference threshold, so that the continuous tension data and the discrete tension data match. The elevator status monitoring method according to claim 1 or claim 2, further comprising:

9. A transmission step that transmits the calculated tension adjustment amount or a preset tension adjustment amount based on at least one of the plurality of parameters and the continuous tension data. The elevator status monitoring method according to claim 1 or claim 2, further comprising:

10. The elevator status monitoring method according to claim 9, wherein in the adjustment amount transmission step, before transmitting the adjustment amount, it is determined whether adjustment by the adjustment amount is feasible, and if it is determined that it is not feasible, an alert is issued indicating that adjustment is not possible.

11. Based on the continuous tension data, a maintenance command notification step is performed to determine whether the tension of each rope is outside the allowable tension value, and if it is outside the allowable tension value, to notify that maintenance work is required. The elevator status monitoring method according to claim 1 or claim 2, further comprising:

12. Aging change monitoring step: Determine whether at least one of the aforementioned multiple parameters is outside the acceptable range for aging changes, and if it is outside the acceptable range for aging changes, issue an alert indicating that maintenance work is required. The elevator status monitoring method according to claim 1 or claim 2, further comprising:

13. Maintenance timing calculation step: Based on a time-dependent change function that shows the time-dependent change of the target parameter, which is at least one of the multiple parameters, due to the movement of the cage, an estimated value, which is the future value of the target parameter, is calculated, and based on the continuous tension data calculated using the estimated value, the maintenance timing, which is the time when maintenance work will be required, is calculated. The elevator status monitoring method according to claim 1 or claim 2, further comprising:

14. Maintenance timing monitoring step, which monitors whether the maintenance time has been reached based on the cumulative mileage of the basket. The elevator status monitoring method according to claim 13, further comprising:

15. A machining determination step that determines whether it is necessary to machine each groove based on the continuous tension data, and If it is determined that the aforementioned machining is necessary, the machining amount setting step sets the amount of machining. The elevator status monitoring method according to claim 1 or claim 2, further comprising:

16. The elevator status monitoring method according to claim 15, wherein in the step of setting the amount of processing, it is determined whether the machining is feasible, and if it is not feasible, a command to replace the equipment is transmitted.

17. An elevator status monitoring program that causes a computer to execute the status monitoring method described in claim 1 or claim 2.

18. A recording medium that stores an elevator status monitoring program that causes a computer to execute the status monitoring method described in claim 1 or claim 2.

19. The monitoring device body calculates the tension of each of the multiple ropes, which are wound around a pulley having multiple grooves and suspend a basket and a counterweight, by modeling the winding side and unwinding side of each rope as springs relative to the pulley, and using a tension model consisting of multiple equations of motion. Equipped with, The aforementioned tension model is, The input data includes discrete tension data, which includes the measured tension of each rope when the cage is located at a measurement position within the hoistway, and a plurality of parameters. The output data is continuous tension data, which is continuous data of the tension of each rope, including the estimated value of the tension of each rope when the basket is located at a position other than the measurement position. In the tension model described above, the amount of displacement applied to the pulley-side end of each winding-side portion and each unwinding-side portion is the free length of the rope, which is the amount of winding by the pulley minus the amount of rope elongation in the winding-side portion. This is the condition monitoring device for an elevator.

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