CONDITION MONITORING METHOD, CONDITION MONITORING PROGRAM, STORAGE MEDIUM AND CONDITION MONITORING DEVICE FOR A LIFT

Abstract

A condition monitoring procedure for an elevator includes a stress calculation step to calculate the stress of each of a plurality of ropes using a stress model formed from a plurality of equations of motion. The stress model uses discrete stress data and a plurality of parameters as input data, where the discrete stress data includes an actual measured value of the stress of each rope, and uses continuous stress data as output data. In the stress model, a free rope length is defined as a displacement amount given to the pulley-side end sections of each winding side section and each unwinding side section, where the free rope length takes on a value determined by subtracting a rope elongation amount within the winding amount from a winding amount through a pulley.

Description

Technical field

[0001] This invention relates to a condition monitoring method, a condition monitoring program, a storage medium and a condition monitoring device for an elevator. background

[0002] In a detection device for elevator ropes according to the prior art, for each of a plurality of elevator ropes, a current voltage measured by a rope tension measuring device is compared with a voltage stored in a storage unit at a normal time. If a difference between the current voltage and the voltage at the normal time is equal to or greater than a certain value, a rope slip determination unit determines that slippage has occurred in the elevator rope in question (see, for example, patent literature 1).

[0003] Patent literature 1 discloses, in the same manner as non-patent literature 1 and non-patent literature 2, a formulation relating to the tension of a main rope modeled by a spring. The rope modeling technique disclosed therein has the advantage that, for example, the computational effort during simulation calculations is reduced, thus achieving higher efficiency than with a modeling technique in which a rope is divided into a large number of elements.

[0004] However, the spring-based rope modeling technique has the disadvantage that, for example, the simulation accuracy of rope tension is insufficient, as described in the non-patent literature 2. This means that the problem of a difference between an actually measured value and a simulation result regarding rope tension remains.

[0005] The term "modeling," as used here, refers, for example, to the derivation of a model—expressed through a mathematical expression, a program, or the like, based on an equation of motion—to simulate and analyze physical behavior. This process is also called "modeling." Simulation analysis using a computer is a widely used method for analyzing behavior today, and it also encompasses mathematical analysis approaches such as investigating the solution of a differential equation using a Laplace transform. Citation list for patent literature

[0006] [PTL 1] WO 2016 / 047330 A1 Non-patent literature [NPL 1] Daisuke NAKAZAWA, Seiji WATANABE, and Daiki FUKUI: "Elevator Rope Tension Analysis with Rope Slip Behavior," The Proceedings of Elevator, Escalator and Amusement Rides Conference, The Japan Society of Mechanical Engineers, (2016), pp. 45-50 [NPL 2] Ayato SHIBAYAMA, Takayoshi KAMADA, Tetsu OGAWA and Tomohiro SHIKI: "Analysis of Tension Fluctuations of Main Ropes for Elevator due to Variation in Groove Depth of Traction Machine," The Proceedings of Elevator, Escalator and Amusement Rides Conference, The Japan Society of Mechanical Engineers, (2021) Summary of the invention: Technical problem

[0007] Such a state of the art, based on a spring as described above, is efficient in calculating rope tension by simulation, but problematic because the simulation accuracy of the rope tension is insufficient.

[0008] This invention was made to solve the above-mentioned problem and has the objective of providing a condition monitoring method, a condition monitoring program, a storage medium and a condition monitoring device for an elevator, relating to an elevator condition monitoring technology that is capable of estimating a more accurate voltage through simple processing. Solution to the task

[0009] According to one embodiment of this invention, a condition monitoring method for an elevator is provided, comprising a tension calculation step in which a winding side section and an unwinding side section of each rope from a plurality of ropes are modeled as springs with respect to a pulley having a plurality of grooves, and calculating a tension of each of the plurality of ropes by using a tension model formed from a plurality of equations of motion, wherein the plurality of ropes is wound around the pulley and suspends a cabin and a counterweight, wherein the tension model is configured to: use discrete tension data and a plurality of parameters as input data, wherein the discrete tension data includes an actually measured value of the tension of each of the plurality of ropes in a given state.in which the cabin is positioned at a measurement position in an elevator shaft; and use continuous tension data as output data, wherein the continuous tension data are continuous data about the tension of each of the plurality of ropes, comprising estimated values ​​of the tension of each of the plurality of ropes in states in which the cabin is positioned at positions other than the measurement position, and wherein the tension model has a free rope length defined as a displacement amount given to the pulley-side end sections of each of the winding-up side sections and each of the unwinding side sections, the free rope length taking a value captured by subtracting a rope elongation amount within the winding-up amount from a winding-up amount by the pulley.

[0010] According to one embodiment of this invention, a condition monitoring device for an elevator is provided, comprising a monitoring device main body configured to model a winding side section and an unwinding side section of each rope from a plurality of ropes with respect to a pulley having a plurality of grooves as springs, and to calculate the tension of each rope from the plurality of ropes by using a tension model formed from a plurality of equations of motion, wherein the plurality of ropes is wound around the pulley and supports a cabin and a counterweight, wherein the tension model is configured to take discrete tension data and a plurality of parameters as input data, wherein the discrete tension data includes an actually measured value of the tension of each of the plurality of ropes in a given state.in which the cabin is positioned at a measurement position in an elevator shaft; and use continuous tension data as output data, wherein the continuous tension data are continuous data about the tension of each of the plurality of ropes, comprising estimated values ​​of the tension of each of the plurality of ropes in states in which the cabin is positioned at positions other than the measurement position, and wherein the tension model has a free rope length defined as a displacement amount given to the pulley-side end sections of each of the winding-up side sections and each of the unwinding side sections, the free rope length taking a value captured by subtracting a rope elongation amount within the winding-up amount from a winding-up amount through the pulley. Advantageous effects of the invention

[0011] According to this invention, it is possible to estimate a more accurate voltage through simple processing. Brief description of the drawings Fig. Figure 1 is an explanatory view to illustrate an equivalent model of a rope running over a pulley. Fig. Figure 2 is an explanatory view to represent a model of a one-dimensional coordinate system, which is the equivalent model of Fig. 1 replaced. Fig. Figure 3 is an explanatory view to illustrate the behavior of a wind-up side section of Fig. 1, which was modeled by a variety of different schemes. Fig. Figure 4 is an explanatory view illustrating the rope made of Fig. 1, which is divided into a winding side section and an unwinding side section. Fig. Figure 5 is an explanatory view to illustrate the behavior of two winding side sections subjected to different stresses with respect to a variety of different models. Fig. Figure 6 is a table presenting the evaluation results of three models from Fig. 5. Fig. Figure 7 is an explanatory view to illustrate an example of an elevator model. Fig. Figure 8 is a diagram illustrating the relationship between the tensions of two ropes and the position of a cabin in a case where the depths of the two grooves are equal. Fig. Figure 9 is a diagram illustrating the relationship between the tensions of the two ropes and the cabin position in a case where the depths of the two grooves differ by 0.2 mm. Fig. Figure 10 is a diagram illustrating the relationship between the calculated values ​​of the tensions of the two ropes and the position of the cabin in a case where the depths of the two grooves differ by 0.7 mm, compared to a variety of actually measured values. Fig. Figure 11 is a configuration diagram for the schematic illustration of a lift of a 1:1 rope system in which a multitude of ropes are wound around a pulley by a double-wrapping system. Fig. Figure 12 is a diagram illustrating the relationship between the calculated values ​​of the voltages in the elevator of Fig. 11 and the position of the cabin compared to a variety of actual measured values. Fig. Figure 13 is an explanatory diagram illustrating a relationship between a stress model and input / output data in a first embodiment of this disclosure. Fig. Figure 14 is a block diagram illustrating a condition monitoring device for an elevator according to the first embodiment. Fig. Figure 15 is a flowchart illustrating the operation of a computing unit of Fig. 14. Fig. Figure 16 is a flowchart illustrating the operation of a processing section of the stress model of Fig. 15. Fig. Figure 17 is an explanatory diagram illustrating a relationship between a stress model and input / output data in a second embodiment of this invention. Fig. Figure 18 is a flowchart illustrating a section of the operation of a condition monitoring device according to the second embodiment. Fig. Figure 19 is an explanatory diagram illustrating a relationship between a voltage model and input / output data in a third embodiment of this invention. Fig. Figure 20 is a flowchart illustrating a section of the operation of a condition monitoring device according to a fourth embodiment of this invention. Fig. Figure 21 is a flowchart illustrating a section of the operation of a condition monitoring device according to a first modification example of the fourth embodiment. Fig. Figure 22 is a flowchart illustrating a section of the operation of a condition monitoring device according to a second modification example of the fourth embodiment. Fig. Figure 23 is a flowchart illustrating a section of the operation of a condition monitoring device according to a fifth embodiment of this invention. Fig. Figure 24 is a flowchart illustrating a section of the operation of a condition monitoring device according to a sixth embodiment of the present invention. Fig. Figure 25 is a flowchart illustrating a section of the operation of a condition monitoring device according to a seventh embodiment of the present invention. Fig. Figure 26 is a flowchart illustrating a section of the operation of a condition monitoring device according to a modification example of the seventh embodiment. Fig. Figure 27 is a flowchart illustrating the calculation of the maintenance time to be performed by a condition monitoring device according to an eighth embodiment of this invention. Fig. Figure 28 is a flowchart illustrating the maintenance time monitoring processing to be performed by the condition monitoring device according to the eighth embodiment. Fig. Figure 29 is an explanatory diagram illustrating a relationship between a stress model and input / output data in a modification example of the eighth embodiment. Fig. Figure 30 is a flowchart illustrating the maintenance time monitoring processing to be performed in the modification example of the eighth embodiment. Fig. Figure 31 is a flowchart illustrating a section of the operation of a condition monitoring device according to a tenth embodiment of this invention. Fig. Figure 32 is a configuration diagram illustrating a first example of a processing circuit for implementing each function of a monitoring device main body in each of the first to tenth embodiments. Fig. Figure 33 is a configuration diagram illustrating a second example of the processing circuit for implementing each function of the monitoring device main body in each of the first to tenth embodiments. Description of the embodiments

[0012] The following describes embodiments with reference to the attached drawings. First embodiment

[0013] For a dynamic model of a rope wound around a pulley, a finite element method (FEM), a multibody model, or similar approaches are conceivable. However, these methods are computationally intensive and not very versatile. Against this background, a simple model is constructed in which the rope is treated as a spring.

[0014] First, we will consider the simplest model, in which a rope is wound around a pulley. Fig. Figure 1 is an explanatory view to illustrate an equivalent model of the rope passing over the pulley. Fig. Figure 2 is an explanatory view to represent a model of a one-dimensional coordinate system, which is the equivalent model of Fig. 1 replaced.

[0015] In the illustration, a rope 11 is wound around a pulley 10. The pulley 10 is rotated counterclockwise in the illustration. The direction of movement of the rope 11 is determined by a direction of rotation of the pulley 10. In particular, the rope 11 moves in the pulley 10. Fig. 2 In the model of the rope 11 shown in the one-dimensional coordinate system, a winding side section and an unwinding side section of the rope 11 in the same direction of movement according to the direction of rotation of the pulley 10.

[0016] In the equivalent model of the rope, the rope 11 consists of three sections, namely the winding side section, the unwinding side section, and a section that moves integrally with the pulley 10, as shown in Fig. 1 and Fig. 2 shown. The part that moves integrally with the pulley 10 is, more precisely, a part that is positioned on the pulley 10 and is movable integrally with the pulley 10.

[0017] In the following figures, variables relating to the winding side section of the rope 11 are indicated by a subscript “i” as an input-side symbol. The winding side section is a section of the rope 11 on an upstream side of the pulley 10 with respect to the direction of movement of the rope 11.

[0018] Furthermore, variables relating to the unwinding side section of the rope 11 are indicated with a subscript "o" as an outgoing symbol. The unwinding side section of the rope 11 is a section of the rope 11 on a downstream side of the pulley 10 with respect to the direction of movement of the rope 11.

[0019] When the rope 11 is wound around Δx, which is a tiny amount of winding for a tiny rotation of the pulley 10, the amount of winding Δx is expressed as the sum of a free rope length ΔLi and a rope elongation amount Δui. The free rope length ΔLi is the length in the tension-free state.

[0020] This means that the winding amount Δx corresponds to a displacement of the rope in a state where stresses are acting, and takes on a value that is determined by adding a rope elongation caused by the stresses to the free rope length ΔLi, which is the displacement of the rope in a stress-free state. As in Fig. As shown in Figure 2, the displacement amounts of the ropes in the tension-free state for the winding side section, the unwinding side section and the section that moves together with the pulley are each equal to the same free rope length ΔLi. Δx=ΔLi+Δui

[0021] The rope elongation Δui of the winding side section is determined by a tension Ti of the winding side section. Meanwhile, the tension of the unwinding side section is To, and therefore the rope elongation Δuo of the unwinding side section differs from the rope elongation Δui of the winding side section.

[0022] Therefore, a creep amount Δcr, which is a tiny slip of the rope 11 on the pulley 10, is a rope elongation difference Δuo-Δui with respect to the free rope length ΔLi. Δx+Δcr=(ΔLi+Δui)+(Δuo−Δui)=ΔLi+Δuo

[0023] It was experimentally confirmed using an actual machine that the lower end of the winding side section and the lower end of the unwinding side section exhibit the following behaviors with respect to the handling of rope extension quantities. Fig. 1 represents xi a displacement of the lower end of the winding side section. Furthermore, xo represents a displacement of the lower end of the unwinding side section.

[0024] With regard to the behavior described here, i.e., in relation to the handling of the rope withdrawal quantities, attention has been successfully paid to the behavior of the lower end of the winding side section and the lower end of the unwinding side section, and this fact is a key point that has led to the current proposal of a model of a rope and a lift with excellent properties.

[0025] - The lower end of the winding side section rises by the same amount as the winding amount Δx of the rope 11 on the pulley 10. - The lower end of the unwinding side section lowers by an amount that generally differs from the winding amount Δx on the pulley 10.

[0026] Fig. Figure 3 is an explanatory view to illustrate the behavior of the winding side section of the rope 11. Fig. 1, which was modeled by a variety of different schemes. In particular, the one mentioned here. Fig. 3 and the one mentioned later Fig. Figures 5 are used as explanatory diagrams to illustrate that section (c), which is a model of rope 11 currently proposed as a scheme in a first embodiment of this invention, has excellent properties.

[0027] In Fig. Section (a) is an illustration of a multibody model. In the multibody model, the winding side section is subdivided into a multitude of small sections. When, in the multibody model, an upper end of the winding side section is wound up by Δx, the lower end of the winding side section rises by Δx.

[0028] In this case, the tiny winding dimension Δx is divided into the free rope length ΔLi and the rope extension dimension Δui. Assuming that the spring constant, determined by the length of the winding side section before winding, is ki, the length of the winding side section is reduced by Δx after winding, and thus the spring constant after winding changes to k'i. At this point, k'i > ki. In the following description, the spring constant may also be referred to as the "rope stiffness" in some cases.

[0029] In Fig. Section (a') in Figure 3 represents the winding side section of the rope 11, which is modeled as a spring. In this model, when the upper end of the winding side section is wound up by Δx, the lower end of the winding side section also rises by Δx. Furthermore, in this model, the spring constant ki remains constant. In a real case, however, the spring constant has changed to k'i.

[0030] In Fig. Section (b) represents a model where the spring constant in the model of section (a') is changed to k'i, and the position of the upper end of the winding side section is the same as in the model of section (a'). The lower end of the winding side section has increased by Δui compared to the model of section (a'). This is an effect of the reduction in the deflection of the winding side section due to an increase in the rope stiffness from ki to k'i.

[0031] The behavior of the lower end of the winding side section is essentially the same as in the model of section (a). However, in the model of section (b), the behavior of the lower end of the winding side section differs from the actual behavior, which was successfully confirmed by the real machine mentioned above.

[0032] In Fig. Section (c) represents the model of rope 11 used in the first embodiment. In this model, the position of the upper end of the winding side section is lower than in the model of part (a), the model of part (a'), and the model of part (b). In the model of section (c), the position of the lower end of the winding side section is the same as in the model of section (a) and the model of section (a').

[0033] Fig. Figure 4 is an explanatory view to illustrate the equivalent model of Fig. 1, which is divided into the winding side section and the unwinding side section. In Fig. In Figure 4, the winding side section and the unwinding side section are each modeled as independent springs. Accordingly, it is possible to consider a force equilibrium condition with respect to a spring force, i.e., a stress, determined by a displacement difference between the two ends of each spring.

[0034] In Fig. In equation 4, yi represents a displacement of the upper end of the winding side section. Furthermore, yo represents a displacement of the upper end of the unwinding side section. A relational expression for the winding side section in a static state, i.e., before winding, is given by the following expression. Ti=ki(yi−xi)=(EA / Li)(0−x'i)

[0035] In the expression, ki represents the rope stiffness of the winding side section, yi the displacement of the upper end of the winding side section, xi the displacement of the lower end of the winding side section, Li the length of the winding side section, E an elastic modulus of the rope 11 and A a cross-sectional area of ​​a cross-section perpendicular to a longitudinal direction of the rope 11.

[0036] Furthermore, x'i represents an initial extension of the lower end of the winding side section and assumes a negative value. In this case, the coordinate system is defined such that it exhibits a positive upward displacement. The rope stiffness ki of the winding side section is a function of the elastic modulus E, the cross-sectional area A, and the length Li of the winding side section.

[0037] The winding side section is wound onto the pulley 10 and subjected to the tension Ti, resulting in the following relationship. Ti=(EA / ΔLi)Δui

[0038] When the winding side section is wound by Δx onto the pulley 10, the lower end of the winding side section rises by Δx, as shown in Fig. 2 and Fig. Figure 3 is shown, independent of the rope stiffness. Therefore, a force balance after winding around Δx is obtained by the following expression. Ti=(EA / (Li−ΔLi))(yi−xi)=(EA / (Li−ΔLi)){yi−(x'i+Δx)}

[0039] The stress Ti of the winding side section is calculated from a displacement difference yi-xi between the upper and lower ends of the winding side section. This expression also includes a relational expression that must be satisfied by the displacement yi of the upper end of the winding side section. yi=(Ti / EA)(Li−ΔLi)+x'i+Δx

[0040] The above expression is rearranged using expression (1.1), expression (1.3) and expression (1.4) to capture the following expression. yi=(Ti / EA)(Li−ΔLi)−(Ti / EA)Li+ΔLi+Δui=−(Ti / EA)ΔLi+ΔLi+Δui=−Δui+ΔLi+Δui=ΔLi

[0041] Therefore, the displacement yi of the upper end of the winding side section at a point in the minute winding process must be set to be equal to the free rope length ΔLi within the winding amount Δx, rather than being set equal to the winding amount Δx, namely ΔLi + Δui. Accordingly, the displacement amount xi of the lower end of the winding side section becomes the winding amount Δx, and a result is recorded corresponding to section (a) of Fig. 3 listened.

[0042] In this way, section (c) of Fig. 3, which represents the scheme of the first embodiment, correctly assesses the behavior of the lower end of the winding side section.

[0043] Fig. Figure 5 is an explanatory view illustrating the behavior of two winding side sections subjected to different tensions, with respect to a variety of different models. Fig. 5 are Section (a), Section (b) and Section (c) models which are similar to those of Section (a), Section (b) and Section (c) respectively in Fig. 3 belong to.

[0044] In the model of part (a), the lower ends of the two winding side sections are shifted upwards by the same distance Δx as the winding amount Δx, even when the voltages Ti1 and Ti2 differ.

[0045] In contrast, in the model of section (b) the displacement of the upper ends of the two winding side sections is Δx, while the lower end of one winding side section is shifted upwards by Δx+Δui1 and the lower end of the other winding side section by Δx+Δui2.

[0046] In an actual elevator, the lower ends of the two winding side sections are connected to a cabin or counterweight, and the displacements are equal. Therefore, the lower end of the winding side section on which the tension Ti1 is less than the tension Ti2 is pulled excessively upwards, resulting in slackening to reduce the tension. Conversely, the lower end of the winding side section on which the tension Ti2 acts is pulled downwards to increase the tension.

[0047] In this way, in the model of section (b), if the same winding amount Δx is applied to the two winding side sections with different tensions, a restraining force acts to align the lower end positions to a deviation of the lower end, thereby changing the tension.

[0048] In contrast, in the model of section (c), the winding amounts of the upper ends of the two winding side sections are not uniformly Δx, but are equal to the rope-free lengths ΔLi1 and ΔLi2 associated with the tension on the pulley 10 and are therefore different. By correcting these winding amounts, the displacement amounts of the lower ends of the two winding side sections are both Δx and agree with those of the model in section (a).

[0049] Fig. Figure 6 is a table presenting the evaluation results of the three models from Fig. 5. While the multibody scheme of section (a) can accurately model the winding behavior, it is necessary to divide the rope 11 into a large number of sections, which complicates the model and causes an increase in computation time.

[0050] In contrast, in the schemes of section (b) and section (c), where the rope 11 is modeled as a spring, each model is simple and the computational effort is low. However, in the model of part (b), the tension in the winding side section was not determined correctly. In the model of part (c), which is currently proposed as the scheme in the first embodiment, the assessment of the tension at the winding side section is accurate.

[0051] The model of section (c) is a simple model, and therefore the computational load is low, which makes it easy to calculate a tension fluctuation at any cabin position for all ropes in real time, even in a portable maintenance worker's personal computer (PC) or control panel (CP) that has storage conditions.

[0052] Therefore, by using tension measurement data at a limited number of cabin positions at a maintenance site, the tensions of all cables at each cabin position can be recorded, thereby reducing maintenance time.

[0053] Next, the unwinding page section will be described. From Fig. 4. The following relationship results for the unfolded side section in the static state. To=ko(yo−xo)=(EA / Lo)(0−x'o)

[0054] In the expression, ko represents the rope stiffness of the unwinding side section, yo represents the displacement of the upper end of the unwinding side section, xo represents the displacement of the lower end of the unwinding side section, Lo represents the length of the unwinding side section, E represents the modulus of elasticity of the rope 11, and A represents the cross-sectional area of ​​the cross-section perpendicular to the longitudinal direction of the rope 11.

[0055] Furthermore, x'o represents an initial strain of the lower end of the unfolded side section and takes on a negative value. The cable stiffness ko of the unfolded side section is a function of the modulus of elasticity E, the cross-sectional area A, and the length Lo of the unfolded side section.

[0056] When the winding side section is wound up by Δx, the unwinding side section becomes longer by the free rope length ΔLi on the pulley 10. Furthermore, the free rope length ΔLi of the unwinding side section is extended by Δuo due to the tension To of the unwinding side section. To=(EA / ΔLi)Δuo

[0057] Therefore, if the rope 11 is wound onto the pulley 10 every minute with Δx, the lower end of the unwinding side section is shifted downwards by ΔLi+Δuo. A force balance at the unwinding side section after winding by Δx results from the following expression. To=(EA / (Lo+ΔLi))(yo−xo)=(EA / (Lo+ΔLi)){yo−(x'o−ΔLi−Δuo)}

[0058] The stress To of the unfolded side section is calculated from a displacement difference yo-xo between the upper and lower ends of the unfolded side section. This expression also includes a relational expression that must be satisfied by the displacement yo of the upper end of the unfolded side section. yo=(To / EA)(Lo+ΔLi)+x'o−ΔLi−Δuo

[0059] The expression mentioned above is rearranged using expression (1.11), expression (1.8) and expression (1.9). yo=(To / EA)(Lo+ΔLi)−(To / EA)Lo−ΔLi−Δuo=(To / Ea)ΔLi−ΔLi−Δuo=Δuo−ΔLi−Δuo=−ΔLi

[0060] From this expression, it follows that the displacement yo of the upper end, which is given by the rope stiffness ko of the unwinding side section, must be set to a rope-free length -ΔLi within the winding amount, instead of to a winding amount -Δx. This makes the displacement xo of the lower end of the unwinding side section a winding amount ΔLi+Δuo.

[0061] The displacement xo of the lower end of the unwinding side section is ΔLi+Δuo, which differs from the displacement Δx=ΔLi+Δui of the lower end of the winding side section. The difference between these two values ​​is the creep Δcr of the rope 11 on the pulley 10. Δcr=Δuo−Δui=(ΔLi / EA)(To−Ti)

[0062] So far, a formulation has been examined for the case that, as in Fig. 1 shown, the pulley 10 in a counterclockwise direction from Fig. 1 is rotated. In contrast, if we consider the relational expression for a case in which the pulley 10 is rotated clockwise, as in Fig. As shown in Figure 1, the relation expression for counterclockwise winding can be used as is, by defining the winding amount Δx as a negative value. However, the tension of the winding side section becomes To of Fig. 1, and therefore it is necessary to replace Ti in expression (1.4) with To of Fig. to replace 1.

[0063] Furthermore, in Fig. Figure 1 shows a configuration in which the rope 11 is wound around an upper part of the pulley 10 and is pulled downwards. However, the derived relation expression remains unchanged even in a configuration in which the rope 11 is wound around a lower part of the pulley 10 and is pulled upwards.

[0064] A winding model of the rope 11 onto the pulley 10 can be summarized as follows, based on the results mentioned above.

[0065] - The amount of rotation Δx is set so that it has a symbol corresponding to the direction of rotation, whereby a rope displacement on the pulley 10 is set to be positive counterclockwise and a clockwise displacement to be negative. - The rope stiffness ki of the winding side section is defined as a value obtained by dividing the product of the cross-sectional area A and the modulus of elasticity E of the rope 11 by the length Li of the winding side section. - The rope stiffness ko of the unwinding side section is defined as a value obtained by dividing the product of the cross-sectional area A and the modulus of elasticity E of the rope 11 by the length Lo of the unwinding side section. - The lengths Li and Lo at the time of determining the rope stiffnesses ki and ko are set to the free rope length, which is recorded when no tension is acting on the rope 11.

[0066] - The tension Ti of the winding side section is defined as a value obtained by multiplying the rope stiffness ki by the path difference yi-xi of the upper and lower ends. - The tension To of the unfolding side section is defined as a value obtained by multiplying the rope stiffness ko with the displacement difference yo-xo of the upper and lower ends.

[0067] - A displacement of an end section of the winding side section on the side of the pulley 10 is defined as a value that is captured by subtracting the rope extension amount Δui of the winding side section from the tiny winding amount Δx of the rope 11 on the pulley 10, and that belongs to the free rope length ΔLi with respect to the winding amount Δx. - A displacement amount of an end section of the unwinding side section on the pulley 10 is defined as a value that is captured by subtracting the rope extension amount Δui of the unwinding side section from the tiny winding amount Δx of the rope 11 on the pulley 10, and it corresponds to the rope-free length ΔLi with respect to the winding amount Δx. - The above-mentioned rope extension amount on the pulley 10 is calculated from the tension Ti of the winding side section.

[0068] Fig. Figure 7 is an explanatory view illustrating an example of an elevator model. Fig. Figure 7 is the simplest model, where the number of ropes is 1 in a 1:1 rope system.

[0069] In this case, the rope model described above in section (c) is further described by integrating it into an elevator model. That is, in this case, the elevator model is assumed to be an elevator in which a cabin 12 and a counterweight 13 are each suspended in a cup shape from the rope 11 on the pulley 10, which is a traction pulley, and the rope 11 is wound onto or unwound from the pulley 10 to raise or lower the cabin 12 and the counterweight 13.

[0070] The corresponding elements of the elevator are modeled as a spring and mass point system. The rope 11 is modeled as a mass point element on the pulley 10 and as spring elements on the winding and unwinding section.

[0071] In Fig. Figure 7 represents Js a moment of inertia of the pulley 10, and Jr a moment of inertia of the rope 11 on the pulley 10. Jr is the moment of inertia due to the mass of the aforementioned rope section, which moves integrally with the pulley 10. Mc represents the mass of the cabin 12, Mw the mass of the counterweight 13, msc the mass of a cabin-side bracket 14, and msw the mass of a counterweight-side bracket 15. These parameters relate to the inertial elements.

[0072] Furthermore, mrc represents the mass of a cabin-side portion of the rope 11 and mrw the mass of a counterweight-side portion of the rope 11. The cabin-side portion is a section of the rope 11 located on the cabin side 12 relative to the pulley 10. The counterweight-side portion is a portion of the rope 11 located on the counterweight side 13 relative to the pulley 10. These are also parameters that relate to inertial elements in the same way as described above.

[0073] Furthermore, ksc stands for the stiffness of the cabin-side tab 14, ksw for the stiffness of the counterweight-side tab 15, krc for the stiffness of the cabin-side part of the rope 11, and krw for the stiffness of the counterweight-side part of the rope 11. These are parameters relating to stiffness elements.

[0074] Furthermore, θs represents a rotation angle of the pulley 10 and θr a rotation angle of the rope 11 on the pulley 10. Additionally, xc represents a displacement of the cabin 12, xw a displacement of the counterweight 13, xsc a displacement of the cabin-side shackle 14, xsw a displacement of the counterweight-side shackle 15, xrc a displacement of the cabin-side part of the rope 11, and xrw a displacement of the counterweight-side part of the rope 11.

[0075] The equations of motion, each expressed as a differential equation that does not include a damping term due to a damping element, are as follows. In this case, d^2 / dt^2 is used as the operator, indicating a second-order differential operation with respect to a time "t". Mc(d2 / dt2)xc−ksc(xsc−xc)=−Mc g Mw(d2 / dt2)xw−ksw(xsw−xw)=−Mw g msc(d2 / dt2)xsc+ksc(xsc−xc)−krc(xrc−xsc)=−msc g msw(d2 / dt2)xsw+ksw(xsw−xw)−krw(xrw−xsw)=−msw g mrc(d2 / dt2)xsc+krc(xrc−xsc)−krc(-Rθr−xrc)=−mrc g mrw(d2 / dt2)xrw+krw(xrw−xsw)−krw(Rθr−xrw)=−mrw g Js(d2−dt2)θs=τ−λ Jr(d2 / dt2)θr-krcR(−Rθr−xrc)+krwR(Rθr−xrw)=λ

[0076] In these expressions, R represents the radius of the pulley 10 and "g" the gravitational acceleration. Furthermore, τ represents a driving torque acting on the pulley 10 and λ represents a torque acting between the pulley 10 and the rope 11.

[0077] On the pulley 10, the pulley 10 and the rope 11 move integrally within a region of maximum tensile force ratio Γ. The maximum tensile force ratio Γ is a function of the coefficient of friction between the pulley 10 and the rope 11 and the wrap angle of the rope 11 with respect to the pulley 10.

[0078] At this point, an expression for a condition and a condition that must be satisfied by a ratio of the tension To of the unwinding side section of rope 11 to the tension Ti of the winding side section of rope 11 are given by the following expressions. In this case, d / dt is used as an operator that specifies a first-order differential operation with respect to time "t". (1 / Γ)<(To / Ti)<Γ (d / dt)θs-(d / dt)θr=0

[0079] The torque of condition λ acts on the pulley 10 and the rope 11 as a force that satisfies the expressions mentioned above. If the tension ratio To / Ti exceeds the maximum tensile ratio Γ, the rope 11 slips against the pulley 10 while a frictional force acts upon it, creating a difference between the rotational speed of the pulley 10 and the rotational speed of the rope 11. (d / dt)θs−(d / dt)θr≠0

[0080] Now the behavior when lowering cabin 12 is described, i.e. when the pulley 10 is turned counterclockwise ( Fig. 7) An equilibrium state at time t+Δt after one minute Δt is considered, based on an equilibrium state at time "t". If cabin 12 is lowered for the minute Δt, the winding amount Δx on pulley 10 is given by the following expression. Δx=RΔθr=ΔL+Δu

[0081] In this expression, ΔL represents a free rope length with respect to the tiny amount of winding Δx that results when cabin 12 is lowered, i.e., a rope length in a state where no tension is acting. Furthermore, Δu represents a rope extension with respect to the tiny amount of winding Δx that occurs when cabin 12 is lowered.

[0082] A plurality of grooves are formed in the outer circumference of the pulley 10. The corresponding ropes 11 are inserted into the respective grooves. Each groove is worn down over time by the rope 11. The radius R is the radius of the pulley 10 with respect to each groove, and if the wear rates of the plurality of grooves differ from one another, the radius R differs slightly depending on the groove.

[0083] Such a difference in radius R causes a difference in the winding amount, thereby causing a tension difference between a multitude of ropes 11.

[0084] Assuming that the stress Tw acting on the counterweight side section of the rope 11, Δu satisfies the following expression. Tw=(EA / ΔL)Δu→Δu=(Tw / EA)ΔL

[0085] The free rope length ΔL can therefore be determined from the tiny amount of winding Δx. Δx=(1+(Tw / EA))ΔL→ΔL=Δx / (1+(Tw / EA))

[0086] From this expression, the length Lc of the cabin side section of rope 11 and the length Lw of the counterweight side section of rope 11 are each obtained by the following expressions. Lo(t+Δt)=Lc(t+Δt)=Lc(t)+ΔL, and Li(t+Δt)=Lw(t+Δt)=Lw(t)−ΔL

[0087] The amount of winding at time t+Δt and the associated free rope length and rope pull-out amount are each given by the following expressions. x(t+Δt)=x(t)+Δx, L(t+Δt)=L(t)+ΔL, and u(t+Δt)=u(t)+Δu

[0088] The amount wound onto the pulley 10, x(t+Δt)=Rθr(t+Δt), includes the amount of rope extension. However, to calculate the tension generated in the winding section of the rope 11 and the tension generated in the unwinding section of the rope 11, it is necessary to define a free rope length L instead of using Rθr as the amount wound on the pulley as before.

[0089] The free rope length L can be captured by the following expression. x(t+Δt)=Rθr(t+Δt)=L(t+Δt)+u(t+Δt)→L−Rθr−u

[0090] Therefore, the tension Ti generated in the winding side section of the rope 11 is given by the following expression. Ti=Tw=ki(L−xrw)=krw(L−xrw)=krw(Rθr−u−xrw)

[0091] Furthermore, the tension To generated in the unwinding side section of the rope 11 is given by the following expression. To=ko(−L−xrc)=krc(−L−xrc)=krc(−Rθr+u−xrc)

[0092] From these expressions, a section representing the amount of winding in the equations of motion (1.18), (1.19) and (1.21) is modified by the following expression. Rθr→Rθr−u

[0093] Next, the behavior when raising the cabin 12 is described, i.e., when the pulley 10 is turned clockwise ( Fig. 7) If cabin 12 is raised for the tiny time Δt, the winding amount Δx on pulley 10 is given by the following expression. The direction counterclockwise in Fig. 7 is set positively, and when the pulley 10 rotates clockwise in Fig. When the winding is rotated 7, the winding amount Δx takes on a negative value. Δx=Rθr=ΔL+Δu

[0094] In this expression, Δu represents the amount of rope elongation in relation to the tiny amount of winding Δx, which occurs when cabin 12 is lifted and takes on a negative value.

[0095] Assuming that the stress Tc acting on the cabin side section of the rope 11, Δu satisfies the following expression Tc=(EA / ΔL)Δu→Δu=(Tc / EA)ΔL

[0096] The free rope length ΔL can therefore be determined from the tiny amount of winding Δx. Δx=(1+(Tc / EA))ΔL→ΔL=Δx / (1+(Tc / EA))

[0097] From this expression, the length Lc of the cabin side section of rope 11 and the length Lw of the counterweight side section of rope 11 are each obtained by the following expressions. Li(t+Δt)=Lc(t+Δt)=Lc(t)+ΔL, and Lo(t+Δt)=Lw(t+Δt)=Lw(t)−ΔL

[0098] In this case, the free length ΔL takes on a negative value, so that the rope length of the cabin side section decreases, while the rope length of the counterweight side section increases.

[0099] The free rope length L resulting from lifting cabin 12 can be captured by the following expression. x(t+Δt)=Rθr(t+Δt)=L(t+Δt)+u(t+Δt)→L=Rθr−u =L(t+Δt)+u(t+Δt)→L=Rθr−u

[0100] Therefore, the tension Ti generated in the winding side section of the rope 11 is given by the following expression. Ti=Tc=ki(−L−xrc)=krc(−L−xrc)=krc(−Rθr+u−xrc)

[0101] Furthermore, the tension To generated in the unwinding side section of the rope 11 is given by the following expression. To=ko(L−xrw)=krw(L−xrw)=krw(Rθr−u−xrw)

[0102] From these expressions, a section representing the amount of winding in the equations of motion (1.18), (1.19) and (1.21) is modified by the following expression. Rθr→Rθr−u

[0103] From the results mentioned above, a stress model, serving as a generalized rope winding model, can be defined as follows. In this way, the stress model is formed from a multitude of equations of motion. Herein and in the appended claims, an analysis model for rope stress is referred to simply as the "stress model".

[0104] Regardless of the direction of travel of cabin 12, the rope length Lc on the cabin 12 side and the rope length Lw on the counterweight 13 side are each determined by the following expressions. That is, the length of the winding side section and the length of the unwinding side section are calculated from the free rope length ΔL. Lc(t+Δt)=Lc(t)+ΔL, and Lw(t+Δt)=Lw(t)−ΔL

[0105] In this case, ΔL satisfies the following expressions.

[0106] At the time of lowering a cabin: ΔL=expression (1.27), and at the time of raising the cabin: ΔL=expression (1.36) (1.43)

[0107] A section representing the winding circumference in equations of motion (1.18), (1.19) and (1.21) is modified by the following expression. Rθr→L=Rθr−u

[0108] As indicated in expressions (1.27) and (1.36), the free rope length ΔL is a function of the winding quantity Δx and the tension Ti of the winding side section.

[0109] A relational expression for a correction amount “u” in one minute of time is given in this case by the following expression. u(t+Δt)=u(t)+Δu

[0110] At the time of lowering the cabin: Δu=expression (1.26), and at the time of raising the cabin: Δu=expression (1.35) (1.46)

[0111] As indicated in expression (1.26) and expression (1.35), the rope elongation Δu takes on a value proportional to the free rope length ΔL and the tension Ti of the winding side section.

[0112] The relational expression mentioned above is formed in the same way even if, in addition to the pulley 10, which is a drive pulley, there are one or more pulleys, and is formed in the same way regardless of the number of ropes 11.

[0113] The following describes exemplary calculation results for a configuration in which two ropes 11 in the elevator of the 1:1 rope system with a core system are wound around the pulley 10. The subsequent calculation records the tensions of the two ropes in each of the cases where the depths of the two grooves are the same and different from each other by changing the position of the cabin.

[0114] Fig. Figure 8 is a diagram illustrating the relationship between the tensions of the two ropes 11 and the cabin position in the case where the depths of the two grooves are equal. Fig. Figure 9 is a diagram illustrating the relationship between the tensions of the two ropes 11 and the cabin position in the case where the depths of the two grooves differ by 0.2 mm. Fig. Figure 10 is a diagram illustrating the relationship between the calculated values ​​of the tensions of the two ropes 11 and the cabin position in a case where the depths of the two grooves differ by 0.7 mm from each other, compared to a variety of actually measured values.

[0115] In Fig. 8, Fig. 9 and Fig. In CWT 10, cabin 12 travels back and forth between a top floor and a bottom floor. Furthermore, CWT 1 represents the tension of the cabin-side portion of one rope 11. CWT 2 represents the tension of the cabin-side portion of the other rope 11. CWT 1 represents the tension of the counterweight-side portion of one rope 11. CWT 2 represents the tension of the counterweight-side portion of the other rope 11. Additionally, the actual measured value of each tension is a value obtained by measuring the tension acting on a shackle spring.

[0116] If the depths of the two grooves are the same, as in Fig. As shown in Figure 8, each voltage assumes a constant value regardless of the position of the cabin.

[0117] The fact that the depths of the two grooves differ from each other is related to the fact that the radius R of the pulley 10 is different for each rope 11 in the equation of motion. If the depth of the two grooves is different, as in Fig. As shown in Figure 9, the stress that occurs when cabin 12 is raised and the stress that occurs when cabin 12 is lowered pull the tension to different locations relative to each other. Fig. 9. The grooves belonging to cabin 2 and CWT 2 are deeper than the grooves belonging to cabin 1 and CWT 1.

[0118] Assuming that the winding amount is calculated using a model that does not account for rope expansion, the tension changes even under the condition that the groove depths are the same, with a change in cabin position, due to the presence of an initial difference in rope expansion, which indicates a deviation from an initial tension. Therefore, the result differs from actual tension behavior, where the tension does not change depending on the cabin position.

[0119] As the difference between the depths of the two grooves increases, the tension ratio between the winding side section and the unwinding side section exceeds the maximum tensile ratio Γ, and the rope 11 slips against the pulley 10, and as in Fig. As shown in Figure 10, the slope of the voltage fluctuation changes within a certain mid-range. Fig. Paragraph 10 shows that it is possible to calculate the voltage fluctuation and the cable slip behavior with high accuracy using the analysis method of the first embodiment.

[0120] The maximum tensile force ratio Γ is a function of the coefficient of friction between the pulley 10 and the rope 11. Therefore, if the coefficient of friction changes, the maximum tensile force ratio Γ also changes. This change in the maximum tensile force ratio Γ appears as a deviation from an inflection point where the slope of the tension fluctuation changes. It is therefore also possible to determine the magnitude of the fluctuation in the coefficient of friction by determining the magnitude of the deviation from the inflection point.

[0121] Fig. Figure 11 is a configuration diagram for the schematic illustration of the elevator of the 1:1 abseiling system, in which a plurality of ropes 11 are wound around the pulley 10 by a double-wrapping system. In the double-wrapping system, each rope 11 is wound twice around the pulley 10, which is a drive pulley and a deflection pulley 16. According to the analysis method of the first embodiment, the calculation can also be performed for the double-wrapping system.

[0122] Fig. Figure 12 is a diagram illustrating the relationship between the calculated values ​​of the voltages in the elevator of Fig. 11 and the position of the cabin compared to a variety of actual measured values. The horizontal axis of Fig. 12 represents a value that is captured by normalizing the cabin's position to a travel distance. The vertical axis of Fig. 12 represents a value that is captured by representing the voltage normalized by an average voltage in an intermediate floor.

[0123] In this case, the rope 11 that runs through a groove of normal depth is referred to as the "rope with normal groove", the rope 11 that runs through a groove with a shallower depth than the normal depth is referred to as the "rope with shallow groove", and the rope 11 that runs through a groove with a greater depth than the normal depth is referred to as the "rope with deep groove".

[0124] In Fig. In Figure 12, the solid line represents a calculated result for the tension of the flat-groove rope. The symbol “□” represents an actual measured value for the tension of the flat-groove rope at the time the cabin was raised. The symbol “◯” represents an actual measured value for the tension of the flat-groove rope at the time the cabin was lowered.

[0125] The dashed line represents a calculated result for the tension of the standard grooved rope. The symbol “△” represents an actual measured value for the tension of the standard grooved rope at the time the cabin was raised. The symbol “□” represents an actual measured value for the tension of the standard grooved rope at the time the cabin was lowered.

[0126] The catenary line marked with a dot represents a calculated result for the tension of the deep-groove rope. The symbol "0" represents an actual measured value for the tension of the deep-groove rope at the time the cabin was raised. The symbol "♦" represents an actual measured value for the tension of the grooved rope at the time the cabin was lowered.

[0127] As in Fig. As shown in Figure 12, it has been confirmed that even with a complicated system configuration such as the double winding system, the voltage can be calculated with high accuracy by using the voltage model as an analysis model.

[0128] In a simple system configuration where the number of pulleys is 10, it is possible in the first embodiment to calculate the stress fluctuation using a static analysis that only uses the force balance, without performing an analysis in which the equation of motion is numerically integrated, i.e., a time history analysis.

[0129] The static analysis used here refers to a static analysis using an equation of motion in which an inertia term due to an inertial element and a damping term due to a damping element are eliminated. The equation of motion generally includes an inertia term due to an inertial element, a stiffness term due to a stiffness element, and a damping term due to a damping element, and an analysis using this equation of motion is referred to as a "dynamic analysis." However, here and in the appended claims, the equation based on force equilibrium in the static analysis is also included in the category of equation of motion by being considered a special case of the equation of motion.

[0130] However, when a complex system configuration is used that includes a multitude of pulleys, such as the deflection pulley 16 and a suspension pulley in a 2:1 rope system, which move together with the drive pulley 10, it is necessary to capture the rotational magnitudes of the multiple moving pulleys by means of convergence calculations. Therefore, it is not possible to capture the force equilibrium condition simply through static analysis.

[0131] Therefore, in the stress calculation scheme of the first embodiment, in the case of the complicated system configuration which includes a plurality of pulleys that move together with the pulley 10, the convergence calculation is carried out to satisfy the equation of motion by numerical integration of the equation of motion constantly, and the rotational magnitudes of the plurality of pulleys that move together are recorded as time history responses.

[0132] Fig. Figure 13 is an explanatory diagram illustrating a relationship between the stress model and the input / output data in the first embodiment. In a condition monitoring method according to the first embodiment, discrete stress data and a variety of features are input into such a stress model, as described above. Correspondingly, continuous stress data is output.

[0133] The multitude of parameters includes a variety of data regarding the characteristics of the rope and data regarding the level of groove wear.

[0134] The numerous data points relating to the DESCRIPTION characteristics include the modulus of elasticity E, the cross-sectional area A, the rope diameter "d", the linear density ρ, the number of ropes N, and the shackle stiffness ks. At least one of these characteristics, for example, the rope diameter "d", can be a fixed value. The data on groove wear is an actual measured value for the depth of the individual grooves.

[0135] The discrete tension data includes information about an actual measured value of the tension of each rope 11 in a state where the cabin 12 is positioned at a measurement position in an elevator shaft, a rope number, and the measurement position. The measurement position, i.e., the cabin position at which the tension is measured, is, for example, an intermediate floor or the lowest floor. The measurement position can also consist of two or more positions. The actual measured value of each tension is associated with the rope number and the measurement position. The actual measured value of each tension is, for example, a value read from a tension meter installed on a rope near a shackle.

[0136] It is not always necessary to measure the tension of all ropes 11 at the same position in the cabin.

[0137] If cabin 12 is located on the top floor, only the tensions of the rope with the highest tension and the rope with the lowest tension can be measured, without measuring the tensions of all ropes 11. The rope with the highest tension is the rope with the maximum amount of deformation of the shackle spring. The rope with the lowest tension is the rope with the minimum amount of deformation of the shackle spring. In this case, it is also possible to consider the remaining ropes as a single spring and perform an equivalent evaluation for a configuration where cabin 12 is suspended by three ropes.

[0138] Continuous tension data is continuous data about the tensions of all cables at all cabin positions. By using the tension model in the first embodiment, the continuous tension data can be derived from the discrete tension data. The continuous tension data includes the tensions of all cables at cabin positions not involved in the actual measurement, the cable numbers, and the cabin positions. The calculated value of each tension is linked to the cable number and the cabin position.

[0139] The condition monitoring procedure for an elevator according to the first embodiment comprises a stress calculation step. In the stress calculation step, the winding side section and the unwinding side section of each of the plurality of ropes 11 are each modeled as springs with respect to the pulley 10. Then, the stress of each of the plurality of ropes is calculated using a stress model formed from a plurality of equations of motion belonging to these models. The plurality of ropes 11 are wound around the pulley 10 and suspend the cabin 12 and the counterweight 13.

[0140] The tension model uses discrete tension data and the multitude of features as input data and continuous tension data as output data. Furthermore, the tension model defines the free rope length ΔL as the displacement amount for a pulley-side end section, i.e., the upper end of each winding side section. The free rope length ΔLi takes on a value determined by subtracting the rope elongation amount Δu within the winding amount Δx from the winding amount Δx through the pulley 10.

[0141] A condition monitoring program according to the first embodiment is a program that causes a computer to execute the condition monitoring procedure, which includes the voltage estimation procedure described above.

[0142] This means that the condition monitoring program is a program that causes a computer to perform a stress estimation process. In the stress estimation process, the stress on each of the multiple cables is calculated using the stress model mentioned above.

[0143] Furthermore, a program is generally stored in a readable format on a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a storage medium. Subsequently, the processing described in the program read from the storage medium is executed by the computer. A storage medium according to the first embodiment is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded in order to cause a computer to execute the condition monitoring procedure, which includes the voltage estimation method described above.

[0144] Fig. Figure 14 is a block diagram illustrating a condition monitoring device for an elevator according to the first embodiment. The condition monitoring device comprises a monitoring device main body 20. The monitoring device main body 20 includes, as functional blocks, a data input unit 21, a storage unit 22, a processing unit 23, and a data output unit 24.

[0145] The data input unit 21 receives discrete stress data from a stress measuring device 25. The data input unit 21 also receives input of various data types relating to the characteristics of the rope and data relating to the amount of groove wear.

[0146] Storage unit 22 stores the data entered into data input unit 21. Storage unit 22 also stores the result of a calculation performed by arithmetic unit 23.

[0147] The processing unit 23 calculates the continuous stress data based on the discrete stress data, the multitude of data relating to the rope characteristics, and the data relating to the groove wear. The data output unit 24 outputs the continuous stress data calculated by the processing unit 23.

[0148] Fig. 15 is a flowchart illustrating the operation of the computing unit of Fig. 14. In step S1001, the discrete stress data, the numerous data types relating to the rope characteristics, and the data relating to the groove wear are set as initial values. After the time "t" is set to zero, a target angular velocity is calculated in step S1002, which is to be applied to the pulley 10 for moving the cabin 12.

[0149] Subsequently, in step S1003, a command torque is calculated so that the pulley 10 follows the command angular velocity and is provided as input data for the stress model. In steps S1004 and S1005, the equation of motion is time-integrated to calculate stress data Ti(t+Δt) on the winding side and stress data To(t+Δt) on the unwinding side at the next time step t+Δt.

[0150] Then, in step S1006, the time "t" is reset to t+Δt in order to sequentially calculate a state at the next time step. By iterating the steps mentioned above, the stresses at all cabin positions can be recorded as continuous stress data.

[0151] Fig. Figure 16 is a flowchart illustrating the operation of a processing section of the stress model of Fig. 15. In step S101, the tiny winding amount Δx from expression (1.25) or expression (1.34) is determined by using the rope angle θr on the pulley 10 from an angular velocity (d / dt)θs(t) of the pulley 10 and an angular velocity (d / dt)θr(t) of the rope on the pulley at time “t”.

[0152] Then, in step S102, the arithmetic unit 23 determines whether the winding amount Δx is greater than 0 or not. That is, the arithmetic unit 23 determines the direction of travel of the cabin 12. If Δx is positive, the cabin is lowered, and if Δx is negative, the cabin is raised.

[0153] If Δx is greater than 0, cabin 12 is lowered, and the computing unit 23 sets the voltage Tw of the counterweight side section as the voltage Ti of the winding side section in step S103, as specified in expression (1.31). If Δx is not greater than 0, cabin 12 is raised, and the computing unit 23 sets the voltage Tc of the cabin side section as the voltage Ti of the winding side section in step S104, as specified in expression (1.39).

[0154] Then, in step S105, the computation unit 23 calculates the free rope length ΔL based on expressions (1.43). Subsequently, in step S106, the computation unit 23 calculates the cabin-side rope length Lc and the counterweight-side rope length Lw as values ​​at time t+Δt using expressions (1.42) based on the free rope length ΔL. Additionally, a winding amount “x” of the rope 11 on the pulley 10 and the corresponding free rope length L on the pulley 10 are calculated as values ​​at time t+Δt from expressions (1.29).

[0155] Then, in step S107, the computation unit 23 calculates the rope stiffness ki of the winding side section at time t+Δt from expression (1.31) or expression (1.39) and the rope stiffness ko of the unwinding side section from expression (1.32) or expression (1.40) based on the length Li of the winding side section and the length Lo of the unwinding side section using expressions (1.28) or expressions (1.37). Furthermore, the computation unit 23 calculates the tension Ti of the winding side section at time t+Δt from expression (1.31) or expression (1.39) and calculates the tension To of the unwinding side section from expression (1.32) or expression (1.40).

[0156] Then, in step S108, the processing unit 23 determines whether the voltage ratio To / Ti satisfies expression (1.22) or not. If expression (1.22) is satisfied, the processing unit 23 determines in step S109 that no slippage has occurred between the pulley 10 and the rope 11, and executes the processing of expression (1.23).

[0157] If, however, expression (1.22) is not satisfied, the computing unit 23 determines in step S110 that a slip has occurred between the pulley 10 and the rope 11, and executes the processing of expression (1.24).

[0158] Through the processing mentioned above, the angle θs and the angular velocity (d / dt)θs of the pulley 10 and the angle θr and the angular velocity (d / dt)θr with respect to the rope 11 on the pulley 10 can be determined at the next time step t+Δt, and at the same time the tension Ti on the winding side and the tension To on the unwinding side can be determined.

[0159] In the condition monitoring procedure, program, storage medium, and device described above, the winding side section and the unwinding side section of each of the plurality of ropes 11 are each modeled as springs with respect to the pulley 10. The tension of each of the plurality of ropes is then calculated using a tension model derived from a plurality of equations of motion. Furthermore, the tension model uses discrete tension data as input data and continuous tension data as output data.

[0160] Therefore, the calculation effort is low, and the tension fluctuation at each cabin position for all ropes 11 can be easily calculated through simple processing.

[0161] Furthermore, in the tension model, the free rope length ΔL is defined as the displacement amount for the pulley side section, i.e., the upper end of each winding side section. Therefore, a more accurate tension can be estimated through simple processing.

[0162] Furthermore, the maximum tension value and the amount of tension fluctuation due to a change in cabin position can be recorded more precisely. This makes it possible to monitor whether these values ​​are within a permissible range, and if the values ​​fall outside the permissible range, maintenance and inspection are carried out to properly manage the tension of each cable 11.

[0163] Furthermore, the stress model uses as input data the actually measured value of the depth of each of the multitude of grooves formed in the pulley 10. Therefore, a more accurate stress can be estimated.

[0164] Furthermore, the rope elongation Δu assumes a value that is proportional to the free rope length ΔL and the tension Ti of the winding side section. Therefore, the rope elongation Δu can be calculated more accurately, which allows for the estimation of a precise tension.

[0165] Furthermore, the free rope length ΔL is a function of the amount wound Δx and the tension Ti of the winding side section. Therefore, the rope elongation Δu can be calculated more accurately with respect to the amount wound Δx, thus enabling a more precise calculation of the tension Ti of the winding side section.

[0166] Furthermore, the length of the winding side section and the length of the unwinding side section are each calculated from the free rope length ΔL. Therefore, the winding side section becomes shorter by the wound free rope length ΔL, and the unwinding side section becomes longer. This allows for a more accurate estimate of the tension.

[0167] That is, in the tension model, the free rope length ΔL, which takes on a value obtained by subtracting the rope expansion amount within the winding amount from the winding amount through the pulley, can be defined as the displacement amounts given to the pulley-side end sections of the winding side section and the unwinding side section, thus enabling the estimation of a more accurate tension.

[0168] Furthermore, the stress Ti of the winding side section is calculated from the displacement difference between the upper and lower ends of the winding side section, and the stress To of the unwinding side section is calculated from the displacement difference between the upper and lower ends of the unwinding side section. This allows for a more accurate stress estimate.

[0169] Furthermore, the cable stiffness ki of the winding side section is a function of the modulus of elasticity E, the cross-sectional area A, and the length Li of the winding side section. Additionally, the cable stiffness koi of the unwinding side section is a function of the modulus of elasticity E, the cross-sectional area A, and the length Li of the unwinding side section. Therefore, the cable stiffness ki of the winding side section and the cable stiffness koi of the unwinding side section can be calculated more accurately. Second embodiment

[0170] Fig. Figure 17 is an explanatory diagram illustrating a relationship between a stress model and input / output data in a second embodiment of this invention. The multitude of data relating to the rope's characteristics includes the modulus of elasticity E, the cross-sectional area A, the rope diameter d, the linear density ρ, the number of ropes N, and the shackle stiffness ks. Of these, the modulus of elasticity E and the cross-sectional area A are subjected to aging. When the modulus of elasticity E and the cross-sectional area A change, a discrepancy arises between the continuous data and the discrete data.

[0171] In contrast, in the second embodiment, the value of the elastic modulus E and the value of the cross-sectional area A, which are the parameter values ​​of each cable 11, are each determined by convergence through iterative calculation, so that the continuous stress data and the discrete stress data are identical. A basic configuration of a condition monitoring device according to the second embodiment is the same as that of Fig. 14.

[0172] Fig. Figure 18 is a flowchart illustrating a section of the operation of the condition monitoring device according to the second embodiment. In addition to the same operation as in the first embodiment, the condition monitoring device periodically performs a Fig. The parameter value update processing shown in Figure 18 is performed so that the continuous and discrete voltage data are consistent. The calculation of the parameter value update processing is generally referred to as parameter estimation or parameter identification.

[0173] In step S201, the monitoring device main body 20 calculates for each rope 11 the difference between the continuous tension data and the discrete tension data, i.e. the tension difference at the same cabin position.

[0174] Subsequently, in step S202, the monitoring device main body 20 determines whether the absolute value of the voltage difference is less than a differential threshold value ε. The differential threshold value ε is a minute value that is preset in the monitoring device main body 20. If the voltage difference is less than the differential threshold value ε, the monitoring device main body 20 terminates the processing for the respective round.

[0175] If the stress difference is equal to or greater than the difference threshold ε, the monitoring device main body 20 corrects the parameter values ​​in step S203. The parameter values ​​are the value of the modulus of elasticity E and the value of the cross-sectional area A.

[0176] At this point, the monitoring device main body 20 uses a data table for the stress model, in which the results of the calculation using a variety of different parameter values ​​are stored. The monitoring device main body 20 performs an interpolation to estimate from the data table the parameter values ​​that minimize the stress difference.

[0177] Then, in step S204, the monitoring device main body 20 calculates new continuous stress data using the corrected parameters. Next, in step S205, the device 20 updates the continuous stress data, and the process returns to the processing step from step S201. The processing described above is repeated until the absolute value of the stress difference becomes less than the difference threshold ε, thus enabling the identification and updating of parameter values ​​after aging.

[0178] A condition monitoring method according to the second embodiment comprises the same stress calculation step as that of the first embodiment and a parameter value update step. The parameter value update step is a step of updating, when the difference between the continuous stress data and the discrete stress data is equal to or greater than the difference threshold ε, of at least one of the values ​​of the modulus of elasticity E or the value of the cross-sectional area A, so that the continuous stress data and the discrete stress data correspond to each other.

[0179] A condition monitoring program according to the second embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0180] Furthermore, according to the second embodiment, a recording medium is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded in order to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0181] In the condition monitoring procedure described above, the condition monitoring program, the storage medium, and the condition monitoring device update the value of the modulus of elasticity E and the cross-sectional area A as a function of the aging of each cable 11. The modulus of elasticity E and the cross-sectional area A influence the cable stiffness, thus allowing the stress of each cable 11 to be estimated more accurately.

[0182] Furthermore, the determined cross-sectional area A of each rope 11 can be used as an index for determining the deterioration state of each rope 11. For example, if the determined cross-sectional area A falls below a permissible value, maintenance and inspection are carried out, and depending on the condition of the rope 11, the rope is replaced.

[0183] Of the numerous data relating to the description of the rope 11, the values ​​subject to aging include, in addition to the Young's modulus E and the cross-sectional area A, the rope diameter "d". A change in the rope diameter "d" changes the winding circumference of the rope 11 on the pulley 10 in the same way as a change in the groove depth in the pulley 10, thus affecting the tension. Therefore, the rope diameter "d" can be determined by convergence through iterative calculation, ensuring that the continuous and discrete tension data are consistent.

[0184] While the amount of groove wear does not change depending on the cabin position, the rope diameter "d" takes on a value that varies depending on the cabin position, since the number of bends in the rope differs for each rope section. Such a difference in rope diameter "d" depending on the cabin position can also be calculated by comparing the difference between the continuous tension data and the discrete tension data for each cabin position. Third embodiment

[0185] Fig. Figure 19 is an explanatory diagram illustrating a relationship between a stress model and input / output data in a third embodiment of this invention. Of the parameters to be input into the stress model, the amount of groove wear is subjected to aging. When the amount of groove wear changes, a discrepancy occurs between the continuous stress data and the discrete stress data.

[0186] In contrast, in the third embodiment, the value of the groove wear amount for each groove is determined by convergence using iterative calculation, so that the continuous stress data and the discrete stress data are consistent. A basic configuration of a condition monitoring device according to the third embodiment is the same as that of Fig. 14.

[0187] A condition monitoring method according to the third embodiment comprises the same stress calculation step as that of the first embodiment and a step for updating the parameter values. The parameter value update step is a step of updating when the difference between the continuous stress data and the discrete stress data is equal to or greater than the difference threshold ε of each groove wear amount, so that the continuous stress data and the discrete stress data correspond to each other.

[0188] Specific details of the parameter value update step are details of the description, which refers to Fig. 18 is given, in which the modulus of elasticity E and the cross-sectional area A are replaced by the groove wear amount.

[0189] A condition monitoring program according to the third embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0190] Furthermore, according to the third embodiment, a recording medium is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded in order to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0191] In the condition monitoring procedure, the condition monitoring program, the storage medium, and the condition monitoring device described above, the value of each groove wear amount is updated as a function of the aging of the pulley 10. This allows the tension of each rope 11 to be estimated more accurately.

[0192] If the difference between the groove wear amounts of a large number of grooves is equal to or greater than a permissible amount, groove polishing work can also be carried out at a suitable time to equalize the depths of the large number of grooves.

[0193] Furthermore, any identified groove wear can be used as an index for determining a deterioration condition of the pulley 10. For example, a command to replace the pulley 10 can be issued if the groove wear of at least one of the grooves exceeds a permissible value.

[0194] The initial value for each groove wear quantity can be a value determined from the discrete stress data instead of the actually measured value. Therefore, measuring the groove depth can be omitted.

[0195] Furthermore, both the step to update the parameter values ​​in the second embodiment and the step to update the parameter values ​​in the third embodiment can be performed. Fourth embodiment

[0196] Next, a fourth embodiment of this invention is described. A basic configuration of a condition monitoring device according to the fourth embodiment is the same as that of Fig. 14. In the fourth embodiment, however, the condition monitoring device is a server. This means that the condition monitoring device is located remotely from an elevator that is to undergo maintenance.

[0197] The discrete voltage data and the data regarding the amount of groove wear are transmitted from a maintenance site to the condition monitoring device via a communication network. The data is transmitted to and received by the condition monitoring device at the maintenance workstation via communication equipment worn by a maintenance worker or a control panel for the elevator.

[0198] In the fourth embodiment, the multitude of data types relating to the rope's characteristics are incorporated into the tension model as fixed values. That is, the multitude of data types relating to the rope's characteristics are pre-stored in the monitoring device main body 20 by the storage unit 22.

[0199] Fig. Figure 20 is a flowchart illustrating a section of the operation of the condition monitoring device according to the fourth embodiment. The monitoring device main body 20 performs the following during the maintenance and inspection of the elevator: Fig. 20 depicted setting amount transfer processing.

[0200] In step S301, the monitoring device main body 20 will acquire the discrete voltage data and the data regarding the amount of groove wear via the communication network line. The discrete voltage data and the data regarding the amount of groove wear are transmitted from the maintenance site to the monitoring device main body 20 via the communication network.

[0201] In step S302, the monitoring device main body 20 calculates the continuous voltage data. Then, in step S303, the monitoring device main body 20 determines whether the maximum voltage value included in the continuous voltage data, i.e., a maximum voltage, exceeds a maximum permissible value. The maximum permissible value is predefined in the monitoring device main body 20 as a permissible voltage value.

[0202] If the maximum voltage exceeds the maximum permissible value, the monitoring device main body 20 calculates an adjustment amount for the voltage in step S304 so that the maximum voltage becomes equal to or less than the maximum permissible value. The monitoring device main body 20 then transmits the adjustment amount to the maintenance workstation via the communication network line.

[0203] The maintenance worker adjusts the tension of each rope 11 based on the received adjustment amount and transmits the discrete tension data to the monitoring device main body 20 after adjustment.

[0204] If the maximum voltage is equal to or less than the maximum permissible value in step S303, the monitoring device main body 20 terminates the processing of the setting amount transmission.

[0205] A condition monitoring method according to the fourth embodiment comprises the same stress calculation step as that of the first embodiment and a setpoint transmission step. The setpoint transmission step is a step of determining whether the stress of each rope 11 falls outside the permissible stress value or not, based on the continuous stress data, and of transmitting the calculated setpoint for the stress if the stress falls outside the permissible stress value.

[0206] A condition monitoring program according to the fourth embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0207] Furthermore, according to the fourth embodiment, a recording medium is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0208] In the condition monitoring procedure, program, storage medium, and device described above, if the maximum tension exceeds the permissible value, the tension setting is transmitted to the maintenance point. Therefore, tension adjustment can be easily performed, thus reducing maintenance time. It is also possible to mitigate the reduction in service life of each cable 11 by adjusting the tension of each cable 11 to an appropriate level.

[0209] Re-acquisition of the discrete voltage data after voltage adjustment is not necessary.

[0210] Furthermore, in the elevator undergoing maintenance, the tension of each rope 11 can be measured in a predefined cycle and transmitted as discrete tension data to the condition monitoring device. Additionally, a device for measuring the depth of the grooves in the pulley 10 can be installed near the pulley 10. The elevator can then have the depth of each groove measured in a preset cycle and transmit this data to the condition monitoring device as groove wear data.

[0211] In this case, the monitoring device main body 20 can perform the transmission processing of the setting value at a time when the discrete tension data and the data regarding the groove wear amount are received. During maintenance work, the maintenance operator can adjust the tension of each rope 11 based on the setting value transmitted by the last setting value transmission processing.

[0212] Fig. Figure 21 is a flowchart illustrating a section of the operation of a condition monitoring device according to a first modification example of the fourth embodiment. In the transmission processing of the setting amount in the first modification example, a predefined minute setting amount is transmitted to the elevator one or more times.

[0213] If the maximum voltage in step S303 exceeds the maximum permissible value, the monitoring device main body 20 in the first modification example transmits -ΔT as the voltage setting amount to the maintenance workstation in step S305.

[0214] If the maximum voltage is equal to or less than the maximum permissible value, the monitoring device main body 20 further determines in step S306 whether a minimum value of the voltage included in the continuous voltage data, i.e., a minimum voltage, is less than a minimum permissible value. The minimum permissible value is preset in the monitoring device main body 20 as the permissible voltage value.

[0215] If the minimum voltage is lower than the permissible minimum value, the monitoring device main body 20 sends +ΔT as a voltage adjustment amount to the maintenance workstation in step S307. The value of ΔT is preset in the monitoring device main body 20.

[0216] After the voltage setting has been transmitted in step S305 or step S307, the monitoring device main body 20 transmits a movement command for the cabin to the maintenance site in step S308.

[0217] The maintenance worker adjusts the tension of each rope 11 based on the received adjustment amount, then moves the cabin 12 back and forth once and transmits the discrete tension data after the adjustment to the monitoring device main body 20.

[0218] This voltage adjustment is repeated until the maximum voltage is equal to or less than the maximum permissible value and the minimum voltage is equal to or greater than the minimum permissible value.

[0219] The step of transferring the adjustment amount in the first modification example is a step of determining whether the tension of each rope 11 falls outside the permissible tension value or not, based on the continuous tension data, and if the tension falls outside the permissible tension value, transferring the adjustment amount for the tension that was set in advance.

[0220] Fig. Figure 22 is a flowchart illustrating a section of the operation of a condition monitoring device according to a second modification example of the fourth embodiment. The condition monitoring device in the second modification example is a portable computer carried by the maintenance worker instead of the server.

[0221] Therefore, the calculated adjustment amount is displayed on the device itself. Furthermore, the data on groove wear and discrete stress data are entered directly into the device.

[0222] According to the condition monitoring device of the second modification example, it is possible to easily adjust the voltage even for an elevator that is not connected to a network by performing the same processing as the server. Fifth embodiment

[0223] Next, a fifth embodiment of this invention is described. A basic configuration of a condition monitoring device according to the fifth embodiment is the same as that of Fig. 14. Furthermore, the condition monitoring device according to the fifth embodiment is a server.

[0224] In the elevator undergoing maintenance, the tension of each cable 11 is measured at a predetermined interval and transmitted as discrete tension data. The condition monitoring device receives this discrete tension data via the communication network line.

[0225] Fig. Figure 23 is a flowchart illustrating a section of the operation of the condition monitoring device according to the fifth embodiment. In step S401, the monitoring device main body 20 acquires the discrete voltage data via the communication network line. The data relating to the characteristics of the ropes and the data relating to the groove wear are pre-stored in the monitoring device main body 20.

[0226] In step S402, the monitoring device main body 20 calculates the continuous voltage data. Then, in step S403, the monitoring device main body 20 determines whether the maximum voltage value included in the continuous voltage data, i.e., a maximum voltage, exceeds a maximum permissible value. The maximum permissible value is predefined in the monitoring device main body 20.

[0227] If the maximum voltage exceeds the maximum permissible value, the monitoring device main body 20 issues a maintenance command, i.e., a message indicating that maintenance work is required, to the control room in step S404. If the maximum voltage does not exceed the maximum permissible value, the monitoring device main body 20 waits to receive the next discrete voltage data.

[0228] A condition monitoring method according to the fifth embodiment comprises the same stress calculation step as that of the first embodiment and a maintenance command output step. The maintenance command output step is a step in which, based on the continuous stress data, it is determined whether the stress of each rope 11 falls outside the permissible stress value or not, and if the stress falls outside the permissible stress value, a notification is issued that maintenance work is required.

[0229] A condition monitoring program according to the fifth embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0230] Furthermore, according to the fifth embodiment, a recording medium is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0231] In the condition monitoring procedure, program, storage medium, and device described above, a maintenance command is issued when the maximum voltage exceeds the permissible voltage value. Therefore, it is also possible to adjust the tension of each cable 11 at a more suitable time and prevent a reduction in the service life of each cable 11.

[0232] Furthermore, it can prevent excessive maintenance work from being carried out, thereby ensuring an appropriate allocation of maintenance personnel.

[0233] Furthermore, an object that is to undergo maintenance can be defined more clearly, which can reduce the time required for maintenance.

[0234] By scheduling maintenance work at a suitable time, the occurrence of vibrations, irregular noises, and the like due to a deterioration in the elevator's performance can be suppressed.

[0235] The permissible voltage value in the fifth embodiment can be the minimum permissible value, or both the maximum permissible value and the minimum permissible value. Sixth embodiment

[0236] Next, a sixth embodiment of this invention is described. A basic configuration of a condition monitoring device according to the sixth embodiment is the same as that of Fig. 14. Furthermore, the condition monitoring device according to the sixth embodiment is a server.

[0237] In the elevator undergoing maintenance, the tension of each cable 11 is measured in a predefined cycle and transmitted as discrete tension data. The condition monitoring device receives the discrete tension data via the communication network line.

[0238] Fig. Figure 24 is a flowchart illustrating a section of the operation of the condition monitoring device according to the sixth embodiment. In step S501, the monitoring device main body 20 acquires the discrete voltage data via the communication network line. The data relating to the rope characteristics and the data relating to the groove wear are pre-stored in the monitoring device main body 20.

[0239] The monitoring device main body 20 then calculates the continuous voltage data, but this step is in Fig. Step 24 is omitted. Furthermore, the monitoring device main body 20 extracts aging data in step S502. The aging data consists of current values ​​of parameters that are subject to aging among the multitude of parameters to be entered into the stress model.

[0240] The parameters subject to aging include the elastic modulus E of the cable 11, the cross-sectional area A of the cable 11, and the amount of groove wear. The current values ​​of these parameters can be determined using the method described in the second and third embodiments.

[0241] Next, in step S503, the monitoring device main body 20 determines whether or not there is an irregularity in the aging data. The monitoring device main body 20 has defined an allowable aging value for each parameter subject to aging. The monitoring device main body 20 compares each parameter subject to aging with the corresponding allowable aging value.

[0242] If there is an irregularity in the data, i.e., if there is a parameter that exceeds the permissible aging value, the monitoring device main body 20 issues the maintenance command in step S504. If there is no irregularity in the aging data, the monitoring device main body 20 waits to receive the next discrete voltage data.

[0243] A condition monitoring method according to the sixth embodiment comprises the same stress calculation step as that of the first embodiment and an aging monitoring step. The aging monitoring step is a step of determining whether a parameter subject to aging among the multitude of parameters falls outside the permissible aging value or not, and if the parameter falls outside the permissible aging value, issuing a notification that maintenance work is required.

[0244] A condition monitoring program according to the sixth embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0245] Furthermore, according to the sixth embodiment, a recording medium is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer. Through the above described

[0246] By using the condition monitoring procedure, the condition monitoring program, the storage medium and the condition monitoring device, it is possible to detect deterioration of the rope 11 and / or the pulley 10 at an early stage and to carry out the maintenance work at a more favorable time. Seventh embodiment

[0247] A seventh embodiment of the present invention is described below. A basic configuration of a condition monitoring device according to the seventh embodiment is the same as that of Fig. 14. Furthermore, the condition monitoring device according to the seventh embodiment is a server.

[0248] The discrete voltage data and the data regarding groove wear are transmitted from the maintenance site to the condition monitoring device via the communication network. The data is then transmitted to and received by the condition monitoring device at the maintenance workstation via communication equipment worn by the maintenance worker or the elevator control panel.

[0249] In the seventh embodiment, the numerous types of data relating to the characteristics of the rope are incorporated into the tension model as fixed values. That is, the numerous types of data relating to the characteristics of the ropes are pre-stored in the main body 20 of the monitoring device by the storage unit 22.

[0250] Fig. Figure 25 is a flowchart illustrating a section of the operation of the condition monitoring device according to the seventh embodiment. The monitoring device main body 20 performs the following during the maintenance and inspection of the elevator: Fig. 25 shown setting amount transfer processing.

[0251] In step S601, the monitoring device main body 20 will acquire the discrete voltage data and the data regarding the amount of groove wear via the communication network line. The discrete voltage data and the data regarding the amount of groove wear are transmitted from the maintenance site to the monitoring device main body 20 via the communication network.

[0252] The monitoring device main body 20 then calculates the continuous voltage data, but this step is in Fig. 25 omitted. Furthermore, in step S602, the monitoring device main body 20 calculates a maximum difference, which is a difference between the maximum value and the minimum value of the depth of the groove in the pulley 10.

[0253] Subsequently, in step S603, the monitoring device main body 20 determines whether the maximum difference exceeds a maximum permissible difference value or not. The monitoring device main body 20 has preset the maximum permissible difference value.

[0254] If the maximum difference exceeds the maximum permissible difference value, the monitoring device main body 20 calculates the adjustment value for the tension of each rope 11 in step S604. Then the monitoring device main body 20 transmits the adjustment value for the tension via the communication network line.

[0255] The monitoring device main body 20 calculates the setting value for the tension of each rope 11, so that the depths of the plurality of grooves approach a uniform value.

[0256] In particular, the monitoring device main body 20 calculates the setting value such that the tension of the rope 11 belonging to a groove with high groove wear is reduced and the tension of the rope 11 belonging to a groove with low groove wear is increased. When the tension of the rope 11 is increased, the groove wear of the corresponding groove will increase after the tension adjustment. When the tension of the rope 11 is reduced, the groove wear of the associated groove will decrease after the tension adjustment.

[0257] The maintenance worker adjusts the tension of each rope 11 based on the received setting value.

[0258] If the maximum difference is equal to or less than the maximum permissible difference value in step S603, the monitoring device main body 20 terminates the processing of the setting amount transmission.

[0259] A condition monitoring method according to the seventh embodiment comprises the same stress calculation step as that of the first embodiment and the setting value transfer step. The setting value transfer step is a step of determining whether the maximum difference between the depths of the plurality of grooves falls outside the maximum permissible difference value, and if the maximum difference falls outside the maximum permissible difference value, transferring the calculated setting value for the stress.

[0260] A condition monitoring program according to the seventh embodiment is a program that causes a computer to perform the above-mentioned condition monitoring procedure.

[0261] Furthermore, a recording medium according to the seventh embodiment is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded in order to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0262] In the condition monitoring procedure described above, the condition monitoring program, storage medium, and condition monitoring device transmit the voltage adjustment value to the maintenance point when the maximum difference exceeds the maximum permissible difference. Therefore, voltage adjustment work can be carried out easily, thus reducing maintenance time.

[0263] Furthermore, the depths of the numerous grooves can be gradually approximated to a uniform value, thereby extending the service life of the pulley 10. This extended service life also reduces the time and labor required for pulley replacement and groove machining.

[0264] Furthermore, the tension difference between the multitude of ropes 11, which is caused by the difference between the depths of the grooves, can be suppressed, which also results in a longer service life for each rope 11.

[0265] Fig. Figure 26 is a flowchart illustrating a section of the operation of a condition monitoring device according to a modification example of the seventh embodiment.

[0266] In step S701, the monitoring device main body 20 in the modification example will acquire the discrete stress data and the data relating to the groove wear amount.

[0267] The monitoring device main body 20 then calculates the continuous voltage data, with this step being performed in Fig. 26 is omitted. Furthermore, in step S702, the monitoring device main body 20 calculates an average value of the depths of the plurality of grooves and selects a rope number “i” of the rope 11 that belongs to the deepest groove and a rope number “j” of the rope 11 that belongs to the shallowest groove.

[0268] Subsequently, in step S703, the monitoring device main body 20 determines, based on a permissible depth difference value, whether or not a voltage adjustment is required. The monitoring device main body 20 has preset the permissible depth difference value.

[0269] In particular, the monitoring device main body 20 determines in step S703 whether a difference between the depth of the deepest groove and the average value exceeds the permissible depth difference value. If the difference then exceeds the permissible value for the depth difference, the monitoring device main body 20 temporarily sets -ΔT as the setpoint for the tension of the rope 11 with rope number “i” in step S704.

[0270] Furthermore, in step S703, the monitoring device main body 20 determines whether a difference between the depth of the shallowest groove and the average value exceeds the permissible value for the depth difference. If the difference then exceeds the permissible value for the depth difference, in step S704, the monitoring device main body 20 temporarily sets +ΔT as the adjustment value for the tension of the rope 11 with rope number “j”.

[0271] If none of the differences between the depth of the deepest groove and the average value, and none of the differences between the depth of the shallowest groove and the average value, exceed the permissible value for the depth difference, the monitoring device main body 20 determines that the stress adjustment is not required and terminates the processing for the corresponding round.

[0272] When the tension setting ΔT is specified, the overall behavior of the rope tension changes, and there is a possibility that the maximum tension after the setting will exceed the maximum permissible value. Therefore, in step S705, the monitoring device main body 20 calculates the continuous tension data based on the temporarily set tension value. The monitoring device main body 20 then determines whether the maximum tension is equal to or less than the maximum permissible value.

[0273] If the maximum voltage exceeds the maximum permissible value, the monitoring device main body 20 reduces the setting amount in step S707. For example, if the temporarily set setting amount is +ΔT, the temporarily set value of the setting amount is corrected to +ΔT-t. Conversely, if the temporarily set correction amount is -ΔT, the temporarily set correction amount is corrected to -ΔT+t. A reduction amount "t" is a value less than ΔT.

[0274] The monitoring device main body 20 repeats the process steps from step S705 to step S707 until the maximum voltage is equal to or less than the maximum permissible value.

[0275] If the maximum voltage is equal to or less than the maximum permissible value, the monitoring device main body 20 in step S708 finally sets the adjustment amount and transmits information on the voltage setting, in which the rope number and the adjustment amount are linked, to the elevator via the communication network line.

[0276] The maintenance technician adjusts the tension of each cable 11 based on the received setting value. Reducing the tension decreases the contact pressure acting on the groove, thus reducing the groove's wear rate. Increasing the tension increases the contact pressure acting on the groove, thus increasing the groove's wear rate.

[0277] A condition monitoring procedure according to the amendment example of the seventh embodiment comprises the same stress calculation step as that of the first embodiment and the setting value transmission step. In the setting value transmission step, it is determined whether the difference between the depth of the deepest groove and the average value, or the difference between the depth of the shallowest groove and the average value, exceeds the permissible value for the depth difference. If the permissible value for the depth difference is exceeded, the stress adjustment information is transmitted.

[0278] A condition monitoring program according to the modification example of the seventh embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0279] Furthermore, according to the modification example of the seventh embodiment, a storage medium is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0280] Even with the condition monitoring procedure, the condition monitoring program, the storage medium and the condition monitoring device described above, the voltage adjustment work can be carried out easily, thereby reducing maintenance working time.

[0281] Furthermore, the continuous stress data are calculated based on the temporarily set adjustment amount, and the adjustment amount is corrected so that the maximum stress is equal to or less than the maximum permissible value. Therefore, it is possible to compensate for groove wear within a suitable range of stress fluctuation.

[0282] In the same way as in the second amendment example of the fourth embodiment, which refers to Fig. As described in paragraph 22, the device for condition monitoring according to the seventh embodiment can be a portable computer carried by maintenance personnel instead of the server.

[0283] Furthermore, in the fourth and seventh embodiments, during the setting value transfer step, it can be determined before the setting value is transferred whether the adjustment using the setting value is feasible with respect to a thread allowance for tension adjustment, a rope safety factor, and the like. If it is then determined that the adjustment is not feasible, a message can be issued indicating that the adjustment is impossible. This message allows maintenance personnel to either mechanically machine each groove or replace the pulley 10. Eighth embodiment

[0284] An eighth embodiment of the present invention is described below. A basic configuration of a condition monitoring device according to the eighth embodiment is the same as that of Fig. 14.

[0285] Fig. Figure 27 is a flowchart illustrating the calculation of maintenance intervals performed by the condition monitoring device according to the eighth embodiment.

[0286] When calculating the maintenance interval, an estimated value is calculated based on a time-varying function, and a maintenance interval is determined based on continuous stress data calculated using this estimated value. The maintenance interval is the point in time at which maintenance work is required.

[0287] The time-varying function is a function that indicates the change over time of the parameter to be estimated due to the operation of cabin 12. The parameter to be estimated is at least one of a multitude of parameters. The time-varying function is, for example, acquired from a test evaluation result and pre-stored in the monitoring device main body 20. The estimated value is a future value of the parameter to be estimated.

[0288] The parameter to be estimated in the eighth embodiment is the amount of groove wear. The time-varying function in the eighth embodiment is a groove wear function. The groove wear function is a function that specifies a relationship between a travel distance of the cabin 12 and the amount of groove wear in each groove. The estimation unit is a future value of the amount of groove wear.

[0289] In step S801, the monitoring device main body 20 will acquire the discrete stress data and the data relating to the groove wear amount. In the eighth embodiment, the multitude of data relating to the characteristics of the rope are included as fixed values ​​in the stress model.

[0290] Subsequently, in step S802, the monitoring device main body 20 calculates a plurality of estimated values ​​belonging to different travel distances. Then, in step S803, the monitoring device main body 20 calculates a plurality of portions of continuous voltage data, each belonging to the plurality of estimated units.

[0291] Then, in step S804, the monitoring device main body 20 calculates the maintenance time. Specifically, the monitoring device main body 20 detects the maximum voltage from the respective portions of the continuous voltage data and selects a travel distance at which the maximum voltage exceeds the maximum permissible value. A distance determined by subtracting a set distance from the selected travel distance, or a distance determined by multiplying the selected travel distance by a safety factor, is then set as the maintenance time. The safety factor is a positive value less than 1.

[0292] Fig. Figure 28 is a flowchart illustrating the processing of the maintenance time monitoring performed by the condition monitoring device according to the eighth embodiment.

[0293] The maintenance time monitoring process is a process for monitoring whether the maintenance time has been reached or not, based on a cumulative travel distance of the cabin 12.

[0294] The cumulative travel distance of cabin 12 can be calculated from the number of cabin starts and the number of days the elevator is in operation. The number of cabin starts is the number of starts the elevator performs for passengers in a day and is, for example, the average number of starts over a specific period based on the number of starts estimated in advance at the time of delivery, actual operating data, or similar information. The cumulative travel distance of cabin 12 can also be determined by receiving information about an actual travel distance from the elevator's control panel.

[0295] In step S805, the monitoring device main body 20 will acquire data required for calculating the continuous voltage data and data regarding the cumulative travel distance of cabin 12. In step S806, the monitoring device main body 20 will then calculate the continuous voltage data.

[0296] Subsequently, in step S807, the device 20 determines whether the maintenance time calculated in the maintenance time calculation processing has been reached or not.

[0297] If the maintenance time has not arrived, the monitoring device main body 20 corrects the data of a correctable parameter in step S808. This improves the accuracy of the continuous voltage data for a future cumulative driving distance.

[0298] When the maintenance time is reached, the monitoring device main body 20 reports to the control unit in step S809 that the maintenance time has been reached.

[0299] A condition monitoring method according to the eighth embodiment comprises the same stress calculation step as that of the first embodiment, a maintenance time calculation step, and a maintenance time monitoring step. The maintenance time 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 time based on the continuous stress data calculated using the estimated value. The maintenance time monitoring step is a step of monitoring whether the maintenance time has been reached or not, based on the cumulative travel distance of cabin 12.

[0300] A condition monitoring program according to the eighth embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0301] Furthermore, a recording medium according to the eighth embodiment is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded in order to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0302] Through the condition monitoring procedure, the condition monitoring program, the storage medium and the condition monitoring device described above, it is possible to estimate in advance the time at which maintenance work will be required, so that a maintenance plan can be efficiently drawn up, thereby achieving an appropriate workload for the maintenance personnel.

[0303] Furthermore, monitoring is carried out to ensure that maintenance work can be carried out more reliably and that the elevator can be kept in a more appropriate condition.

[0304] An exemplary embodiment of the eighth design is described below. A basic configuration of a condition monitoring device according to the modification example of the eighth design is the same as that of Fig. 14.

[0305] Fig. Figure 29 is an explanatory diagram illustrating a relationship between a stress model and input / output data in the modification example of the eighth embodiment. The multitude of data relating to the rope characteristics includes the modulus of elasticity E, the cross-sectional area A, the rope diameter d, the linear density ρ, the number of ropes N, and the shackle stiffness ks. In the modification example of the eighth embodiment, the multitude of data on the rope characteristics and the discrete stress data are inserted into the stress model to calculate each groove wear. The relationship between the stress model and the input / output data in the modification example of the eighth embodiment differs from the relationship between the stress model and the input / output data in the eighth embodiment in that the amount of groove wear is calculated.

[0306] Fig. Figure 30 is a flowchart illustrating the maintenance time monitoring processing to be performed in the modification example of the eighth embodiment. The maintenance time monitoring processing is a process for calculating, based on the cumulative travel distance of cabin 12, the groove wear amount, and the continuous stress data associated with the travel distance, and for monitoring whether the maintenance time has been reached or not.

[0307] In step S805a, the monitoring device main body 20 will acquire the data required to calculate the continuous voltage data and the data relating to the cumulative travel distance of the cabin 12. In step S805b, the monitoring device main body 20 will then calculate the groove wear associated with the cumulative travel distance of the cabin 12 by processing Fig. 29. Then, in step S806, the continuous stress data are calculated using the calculated groove wear amount and the data required for calculating the continuous stress data, as well as the data relating to the cumulative travel distance of cabin 12 recorded in step S805a.

[0308] Subsequently, in step S807, the device 20 determines whether the maintenance time calculated in the maintenance time calculation processing has arrived or not.

[0309] If the maintenance time has not arrived, the monitoring device main body 20 corrects the data of a correctable parameter in step S808. This improves the accuracy of the continuous voltage data for a future cumulative driving distance.

[0310] When the maintenance time is reached, the monitoring device main body 20 reports to the control unit in step S809 that the maintenance time has been reached.

[0311] A condition monitoring procedure according to the modification example of the eighth embodiment comprises the same stress calculation step as that of the first embodiment, the maintenance time calculation step, and the maintenance time monitoring step. The maintenance time 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 time based on the continuous stress data calculated using the estimated value. The maintenance time monitoring step is a step of monitoring whether the maintenance time has been reached or not, based on the cumulative travel distance of cabin 12.

[0312] A condition monitoring program according to the modification example of the eighth embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0313] Furthermore, a storage medium according to the modification example of the eighth embodiment is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0314] According to the condition monitoring method, the condition monitoring program, the storage medium and the condition monitoring device according to the modification example of the eighth embodiment, it is possible to detect the same effects as those of the eighth embodiment described above.

[0315] Furthermore, according to the modification example of the eighth embodiment, the work of measuring the amount of groove wear can be eliminated, thereby reducing the workload of the maintenance personnel. Ninth embodiment

[0316] Next, a ninth embodiment of the present invention is described. A basic configuration of a condition monitoring device according to the ninth embodiment is the same as that of Fig. 14.

[0317] Furthermore, the device for condition monitoring according to the ninth embodiment performs the same calculation of the maintenance time as in Fig. 27 and the same monitoring of the maintenance time as in Fig. 28. However, in the ninth embodiment, step S803 is omitted. Fig. 27 omitted.

[0318] The parameters to be estimated in the ninth embodiment are the modulus of elasticity E and the cross-sectional area A of each cable 11. The time-varying function in the ninth embodiment is a cable aging function. The cable aging function is a function that specifies a relationship between the travel distance of the cabin 12 and the modulus of elasticity E and the cross-sectional area A. The estimated values ​​are a future value of the modulus of elasticity E and a future value of the cross-sectional area A of each cable 11.

[0319] In step S801 of Fig. 27 The monitoring device main body 20 will capture the discrete voltage data and the multitude of data types relating to the characteristics of the ropes.

[0320] Subsequently, in step S802, the monitoring device main body 20 calculates a multitude of estimation units belonging to different travel distances.

[0321] Then, in step S804, the monitoring device main body 20 calculates the maintenance time. Specifically, the monitoring device main body 20 selects the travel distance at which either the modulus of elasticity E or the cross-sectional area A falls below the permissible value. The distance resulting from subtracting the set distance from the selected travel distance, or the distance resulting from multiplying the selected travel distance by the safety factor, is then set as the maintenance time.

[0322] The method for monitoring the maintenance time is the same as in the eighth embodiment.

[0323] A condition monitoring procedure according to the ninth embodiment comprises the same stress calculation step as that of the first embodiment, the maintenance time calculation step, and the maintenance time monitoring step. The maintenance time calculation step is a step of calculating the estimated values ​​of the future value of the modulus of elasticity E and the future value of the cross-sectional area A based on the rope aging function, and calculating the maintenance time based on these estimated values. The maintenance time monitoring step is a step of monitoring whether the maintenance time has been reached or not, based on the cumulative travel distance of the cabin.

[0324] A condition monitoring program according to the ninth embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0325] Furthermore, according to the ninth embodiment, a recording medium is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0326] Through the condition monitoring procedure, the condition monitoring program, the storage medium and the condition monitoring device described above, it is possible to estimate in advance the time at which maintenance work will be required, so that a maintenance plan can be created efficiently, thereby optimizing the workload of the maintenance personnel.

[0327] Furthermore, monitoring is carried out to ensure that maintenance work can be carried out more reliably and that the elevator can be kept in a more appropriate condition.

[0328] In the eighth and ninth embodiments, a function update process can be performed to update the time-variable function. Specifically, in the function update process, the set distance is predetermined, and the estimated value at the time the set distance is reached is calculated in advance using the time-variable function. Then, when the cumulative travel distance of cabin 12 reaches the set distance, a difference is calculated between a current measured value or estimate of the parameter to be estimated and the pre-calculated estimate. The time-variable function is updated to reduce this difference.

[0329] Furthermore, the updated time-variable function can be uploaded to the server. The server stores a large number of groove wear functions collected from a large number of elevators for each elevator type, and the time-variable function is optimized based on this data. The optimized time-variable function is then transferred from the server to each elevator, and the groove wear function is updated in each elevator.

[0330] In this way, the accuracy of the time-variable function and the accuracy of the estimated value can be improved by continuously updating it. This allows a more suitable maintenance time to be determined. Tenth embodiment

[0331] Next, a tenth embodiment of this invention is described. A basic configuration of a condition monitoring device according to the tenth embodiment is the same as that of Fig. 14. Furthermore, the condition monitoring device according to the tenth embodiment is a server.

[0332] The main body 20 of the monitoring device stores a processing amount for each groove as a parameter. The initial processing amount is 0.

[0333] Fig. Figure 31 is a flowchart illustrating a section of the operation of the condition monitoring device according to the tenth embodiment. In step S901, the monitoring device main body 20 acquires the discrete stress data, the multitude of data types relating to the characteristics of the rope, the data relating to the amount of groove wear, and the like, via the communication network line. Some of the multitude of data relating to the characteristics of the ropes, for example, the rope diameter "d", can be fixed values.

[0334] Subsequently, in step S902, the monitoring device main body 20 calculates the continuous voltage data.

[0335] Then, in step S903, the monitoring device main body 20 determines whether a voltage state is equal to or less than a reference value. In particular, the monitoring device main body 20 determines whether the maximum voltage and the magnitude of the voltage fluctuation are each equal to or less than a predetermined reference value.

[0336] If the stress state is equal to or less than the reference value, the monitoring device main body 20, in step S904, sets the machining amount for the groove, transmits the set machining amount to the elevator, and terminates the machining. The maintenance operator performs the mechanical machining of each groove based on the transmitted machining amount. If the machining amount is 0, which is the initial value, no machining is required.

[0337] If the stress state exceeds the reference value, the main body of the monitoring device 20 in step S905 increases the machining amount of each groove by a fixed amount and updates the machining amount.

[0338] Then, in step S906, the monitoring device main body 20 determines whether the machining is feasible based on the updated machining amount or not.

[0339] In particular, the monitoring device main body 20 determines whether the working time required for processing is equal to or less than a set time based on the updated processing amount, and if the working time is equal to or less than the set time, it determines that the processing is feasible, while it determines that the processing is not feasible if the working time exceeds the set time.

[0340] The monitoring device main body 20 also determines whether the strength of the pulley 10 resulting from the machining is equal to or greater than a set strength, based on the updated machining amount, and if the strength is equal to or greater than the set strength, it determines that the machining is feasible, while it determines that the machining is not feasible if the strength is less than the set strength.

[0341] If processing is feasible based on the updated processing amount, the monitoring device main body 20 returns the process to the processing step of step S901. Then, in step S902, the monitoring device main body 20 calculates the continuous stress data, taking the updated processing amount into account. The monitoring device main body 20 repeats the processing described above until the stress state is equal to or less than the reference value.

[0342] If processing based on the updated processing amount is not feasible, it is difficult to make the stress state equal to or less than the reference value even if the processing amount is increased, and therefore the monitoring device main body 20 in step S907 transmits an equipment exchange command to the elevator and terminates processing.

[0343] A condition monitoring method according to the tenth embodiment comprises the same stress calculation step as that of the first embodiment, a machining determination step, and a machining amount setting step. The machining determination step is a step to determine whether or not machining must be performed on each groove based on the continuous stress data. The machining amount setting step is a step to set the machining amount when it is determined that machining is necessary.

[0344] A condition monitoring program according to the tenth embodiment is a program that causes a computer to execute the above-mentioned condition monitoring procedure.

[0345] Furthermore, a recording medium according to the tenth embodiment is a computer-readable storage medium on which the condition monitoring program for an elevator is recorded in order to cause a computer to execute the aforementioned condition monitoring procedure. The condition monitoring program is stored in a readable format in a storage medium (for example, in memory 202 of Fig. 33) stored, which serves as a recording medium. Then the processing described in the condition monitoring program read from the storage medium is carried out by the computer.

[0346] The condition monitoring procedure, program, storage medium, and device described above determine whether or not mechanical machining is required for each groove, and if so, the scope of machining is defined. Therefore, the efficiency of maintenance work on pulley 10 can be improved.

[0347] Furthermore, the processing amount setting step determines whether mechanical processing is feasible or not, and if mechanical processing is not feasible, the command to replace the equipment is transmitted. Therefore, the equipment replacement can be carried out at a more suitable time.

[0348] In embodiments one through ten, the multitude of parameters serving as input data for the stress model can include data other than those described above, such as data on the load history of cabin 12, data on the actual driving history of cabin 12, and data on a friction condition. This can improve the accuracy of the estimation unit.

[0349] The load history data consists of data on the load quantity for each trip of cabin 12. The trip path data consists of data on the distance traveled for each trip of cabin 12 and can be determined from the number of revolutions of pulley 10. The friction state data consists of data on the coefficient of friction between pulley 10 and rope 11 and can be determined from a function that includes as parameters at least the viscosity of the lubricating oil, the temperature of the operating environment, the humidity of the operating environment, the contact pressure between pulley 10 and rope 11, or similar parameters.

[0350] The time-varying function can also include a parameter, such as the load history data of cabin 12, the current driving history data of cabin 12, or the acceleration / deceleration history data of cabin 12. This allows for a more accurate estimation of the degree of aging of each component by more precisely estimating the continuous stress data. The acceleration / deceleration data refers to the positions at which cabin 12 accelerated and decelerated during each driving cycle.

[0351] The aging function can also include the number of bends in rope 11 at each point as a parameter. In this way, the degree of aging at each point of rope 11 can be estimated more accurately.

[0352] Furthermore, a method for acquiring the discrete stress data is not limited to the measurement performed by the stress measuring device 25. For example, a vibration period of the rope 11, which is acquired by an impact vibration method, can be converted into a stress value.

[0353] Furthermore, in this invention the rope is used in a broad sense and also includes, for example, a strap for suspending the cabin.

[0354] Furthermore, the elevator can be a machine-room elevator, a machine-roomless elevator, a double-decker elevator, a single-shaft multi-cabin system, or the like. A single-shaft multi-cabin system is a system in which an upper cabin and a lower cabin located directly below the upper cabin are raised and lowered independently of each other in a common elevator shaft.

[0355] Furthermore, the second to tenth embodiments can be realized in suitable combinations.

[0356] For example, a combination of the eighth and ninth embodiments can be implemented. In this case, the monitoring device main body 20 calculates the continuous stress data using the future values ​​of the modulus of elasticity E and the future values ​​of the cross-sectional area A of the cable 11 and the future value of the groove wear of the pulley 10. Therefore, the continuous stress data for the future cumulative travel distance can be calculated with higher accuracy, thus improving the accuracy of determining whether the maintenance point has been reached.

[0357] Furthermore, as another example, a combination of the sixth, eighth, and ninth embodiments can be implemented. In this case, the monitoring device main body 20 continuously calculates stress data using the future value of the modulus of elasticity E and the future value of the cross-sectional area A of the cable 11 and the future value of the groove wear of the pulley 10. The monitoring device main body 20 also determines whether or not there is an irregularity in the data for the features subject to aging (future value of the modulus of elasticity E, future value of the cross-sectional area A, and future value of the groove wear).When the maintenance time arrives, it is possible to determine which of the parameters subject to aging has reached its permissible aging value, and thus which of the cables 11 and pulleys 10 has deteriorated. This makes it possible to identify a deteriorating component at an early stage, thereby improving the efficiency of maintenance work.

[0358] As a further example, a combination of the seventh and tenth embodiments can be implemented. In this case, the monitoring device main body 20 calculates during operation of the condition monitoring device according to the tenth embodiment when, in step S906 of Fig. 31. It is determined that the processing based on the updated processing amount is not feasible because the time required exceeds the set time. The adjustment amount for the tension of each rope 11 is achieved through the processing described in the seventh embodiment, so that the depths of the plurality of grooves approximate a uniform value. The maintenance worker adjusts the tension of each rope 11 based on the obtained setting value. In this way, by implementing the combination of the seventh and tenth embodiments, even if the working time required for processing each groove cannot be guaranteed, the groove depth of each groove can be adjusted to achieve a desired state.

[0359] The combinations of embodiments described above are merely examples, and other combinations can also be implemented.

[0360] Furthermore, each of the functions of the monitoring device main body 20 is implemented by a processing circuit in the first to tenth embodiments. Fig. Figure 32 is a configuration diagram illustrating a first example of the processing circuit for implementing each of the functions of the monitoring device main body 20 in each of the first through tenth embodiments. A processing circuit 100 of the first example is associated hardware.

[0361] Furthermore, the processing circuit 100 belongs, for example, to a single circuit, a complex circuit, a programmed processor, a parallel program processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or a combination thereof. Furthermore, the respective functions of the monitoring device main body 20 can be implemented by individual processing circuits 100, or the functions can be implemented collectively by the processing circuit 100.

[0362] Furthermore, Fig. 33 A configuration diagram illustrating a second example of the processing circuit for implementing each of the functions of the monitoring device main body 20 in each of the first to tenth embodiments. A processing circuit 200 of the second example comprises a processor 201 and a memory 202.

[0363] In the processing circuit 200, each of the functions of the monitoring device main body 20 is implemented by software, firmware, or a combination of software and firmware. The software and firmware are described as programs that are stored in memory 202. The processor 201 reads the programs stored in memory 202 and executes them to realize the respective functions.

[0364] The programs stored in memory 202 can also be considered programs that cause a computer to execute the procedure or method of any of the aforementioned units. In this case, memory 202 may be, for example, a non-volatile or volatile semiconductor memory, such as random-access memory (RAM), read-only memory (ROM), flash memory, erasable programmable read-only memory (EPROM), or electronically erasable and programmable read-only memory (EEPROM). Furthermore, memory 202 may also be a magnetic disk, a flexible disk, an optical disk, a compact disc, a miniDisc, a DVD, or similar storage medium.

[0365] The function of each of the units described above can be implemented partly through associated hardware and partly through software or firmware.

[0366] In this way, the processing circuit can implement the function of each of the above-mentioned units through hardware, software, firmware, or a combination thereof. List of reference symbols 10 Pulley, 11 rope, 12 cabins, 13 Counterweight, 20 Monitoring device main body QUOTES INCLUDED IN THE DESCRIPTION

[0000] This list of documents cited by the applicant was automatically generated and is included solely for the reader's convenience. The list is not part of the German patent or utility model application. The DPMA accepts no liability for any errors or omissions. Cited patent literature

[0000] WO 2016 / 047330 A1

[0006]

Claims

[1] A condition monitoring method for an elevator, comprising a stress calculation step of modeling, as springs, a winding side section and an unwinding side section of each of a plurality of ropes with respect to a pulley having a plurality of grooves, and calculating a stress of each of the plurality of ropes by using a stress model formed from a plurality of equations of motion, wherein the plurality of ropes is wound around the pulley and suspends a cabin and a counterweight, wherein the stress model is configured to: Using discrete tension data and a variety of parameters as input data, the discrete tension data comprising an actual measured value of the tension of each of the variety of ropes in a state where the cabin is positioned at a measurement position in an elevator shaft; and Using continuous tension data as output data, where the continuous tension data are continuous data about the tension of each of the plurality of ropes, including estimated values ​​of the tension of each of the plurality of ropes in conditions where the cabin is positioned in locations other than the measurement position, and wherein the tension model has a free rope length which is defined as a displacement amount given to the pulley-side end sections of each of the winding side sections and each of the unwinding side sections, wherein the free rope length takes on a value which is captured by subtracting from a winding amount through the pulley a rope extension amount within the winding amount. [2] Condition monitoring method for an elevator according to claim 1, wherein the stress model is configured to use an actually measured value of a depth of each of the plurality of grooves as one of the plurality of features in the input data. [3] Condition monitoring method for an elevator according to claim 1 or 2, wherein the rope elongation amount assumes a value that is proportional to the free rope length and the tension of the winding side section. [4] Condition monitoring method for an elevator according to one of claims 1 to 3, wherein the free rope length is a function of the winding amount and the tension of the winding side section. [5] Condition monitoring method for a lift according to one of claims 1 to 4, wherein a length of the winding side section and a length of the unwinding side section is calculated from the rope-free length. [6] Condition monitoring method for a lift according to any one of claims 1 to 5, wherein the tension of the winding side section is calculated from a displacement difference between an upper end and a lower end of the winding side section, and where the stress of the unfolded side section is calculated from a displacement difference between an upper end and a lower end of the unfolded side section. [7] Condition monitoring method for a lift according to any one of claims 1 to 6, wherein a rope stiffness of the winding side section is a function of an elastic modulus of each of the plurality of ropes, a cross-sectional area of ​​each of the plurality of ropes and a length of the winding side section, and where the stiffness of the unwinding side section is a function of the modulus of elasticity of each of the plurality of ropes, the cross-sectional area of ​​each of the plurality of ropes and a length of the unwinding side section. [8] Condition monitoring method for an elevator according to any one of claims 1 to 7, further comprising a parameter value update step in which, when a difference between the continuous voltage data and the discrete voltage data is equal to or greater than a difference threshold, at least one of the plurality of parameters is updated so that the continuous voltage data and the discrete voltage data correspond to each other. [9] Condition monitoring method for an elevator according to any one of claims 1 to 8, further comprising a setting amount transmission step in which, based on at least the plurality of parameters or the continuous voltage data, a setting amount for the voltage that has been calculated or a setting amount for the voltage that has been preset is transmitted. [10] Condition monitoring method for an elevator according to claim 9, wherein the setting amount transfer step comprises determining, prior to the transfer of the setting amount, whether the setting is feasible using the setting amount and, if the setting is determined to be not feasible, issuing a message that the setting is impossible. [11] Condition monitoring method for an elevator according to any one of claims 1 to 10, further comprising a maintenance command output step in which, based on the continuous tension data, it is determined whether the tension of each of the plurality of ropes falls outside a permissible tension value, and if the tension falls outside the permissible tension value, a message is issued indicating that maintenance work is required. [12] Condition monitoring method for an elevator according to any one of claims 1 to 11, further comprising an aging monitoring step in which it is determined whether at least one parameter from the plurality of parameters falls outside a permissible aging value, and if the at least one parameter falls outside the permissible aging value, a message is issued indicating that maintenance work is required. [13] Condition monitoring method for an elevator according to any one of claims 1 to 12, further comprising a maintenance time calculation step in which, based on a time-varying function indicating a temporal change of a parameter to be estimated, which is at least one of the plurality of parameters due to a journey of the cabin, an estimate is calculated which is a future value of the parameter to be estimated, and based on the continuous stress data calculated using the estimate, a maintenance time is calculated which is a time at which maintenance work is required. [14] Condition monitoring method for an elevator according to claim 13, further comprising a step for monitoring the maintenance time, in which it is monitored whether the maintenance time has arrived on the basis of a cumulative travel distance of the cabin. [15] Condition monitoring method for an elevator according to any one of claims 1 to 14, further comprising: a machining determination step to determine whether machining is required on each of the multitude of grooves, based on the continuous stress data; and a processing amount setting step to set a processing amount when it is determined that mechanical processing is necessary. [16] Condition monitoring method for an elevator according to claim 15, wherein the processing amount setting step comprises determining whether the mechanical processing is feasible and, if the mechanical processing is not feasible, transmitting a device replacement command. [17] A condition monitoring program for an elevator to cause a computer to execute the condition monitoring method according to any one of claims 1 to 16. [18] A storage medium on which a condition monitoring program for an elevator is recorded to cause a computer to execute the condition monitoring method according to any one of claims 1 to 16. [19] A condition monitoring device for an elevator comprising a monitoring device main body configured to model, as springs, a winding side section and an unwinding side section of each rope from a plurality of ropes with respect to a pulley having a plurality of grooves, and to calculate a tension of each rope from the plurality of ropes by using a tension model formed from a plurality of equations of motion, wherein the plurality of ropes is wound around the pulley and suspends a cabin and a counterweight, where the voltage model is configured to: Using discrete tension data and a variety of parameters as input data, the discrete tension data comprising an actual measured value of the tension of each of the variety of ropes in a state where the cabin is positioned at a measurement position in an elevator shaft; and Using continuous tension data as output data, where the continuous tension data are continuous data about the tension of each of the plurality of ropes, including estimated values ​​of the tension of each of the plurality of ropes in conditions where the cabin is positioned in locations other than the measurement position, and wherein the tension model has a free rope length set as a displacement amount given to the pulley-side end sections of each of the winding side sections and each of the unwinding side sections, wherein the free rope length takes on a value captured by subtracting a rope elongation amount within the winding amount from a winding amount through the pulley.

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