Design support device, design support method, and design support program

Abstract

This invention provides a design support device, a design support method, and a design support program that enable the design of elevators while taking into account errors that may occur in real-world elevators. [Solution] The design support device 26 comprises an acquisition unit 29, a calculation unit 30, and an evaluation unit 31. The acquisition unit 29 acquires information on the error characteristics of the basic parameters of each basic model from their standard values. The basic model is a model that simulates the behavior of the basic equipment that constitutes the elevator 1. The calculation unit 30 uses the information on the error characteristics of the basic parameters of each basic equipment to calculate the range or variation of the error of the composite parameters of the composite model from their standard values. The composite model is a model that simulates the behavior of a composite system that includes multiple basic equipment that move in contact with each other. The evaluation unit 31 calculates the change in evaluation values ​​due to the error range or variation of the composite parameters calculated by the calculation unit 30, regarding the evaluation values ​​of the behavior of the composite system when the elevator 1 is operating.

Description

[Technical Field]

[0001] This disclosure relates to an elevator design support device, a design support method, and a design support program. [Background technology]

[0002] Patent Document 1 discloses an example of an elevator simulation device. The simulation device evaluates vibration acceleration in an elevator. [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2015-27917 [Overview of the project] [Problems that the invention aims to solve]

[0004] In elevators, the design is based on evaluation values ​​of the elevator's behavior during operation, such as vibration acceleration. Simulation devices, such as those described in Patent Document 1, are sometimes used to evaluate these evaluation values. In simulation devices, the parameters describing the model are set based on design values, for example. However, in real elevators, errors from the design values ​​can occur due to manufacturing tolerances or changes over time.

[0005] This disclosure relates to the solution of such problems. This disclosure provides a design support device, a design support method, and a design support program that enable design that takes into account errors that may occur in actual elevators. [Means for solving the problem]

[0006] The design support device according to this disclosure includes: an acquisition unit that acquires information on characteristics including the range of error or fluctuation factors of basic parameters describing each of the multiple basic models, each corresponding to one of the multiple basic equipment constituting an elevator and simulating the behavior of the corresponding basic equipment; a calculation unit that calculates the range of error or fluctuation of composite parameters describing the composite model from standard values, using information on the error characteristics of the first parameter, which is a basic parameter describing the basic model of the first equipment, and information on the error characteristics of the second parameter, which is a basic parameter describing the basic model of the second equipment, acquired by the acquisition unit, for a composite model that simulates the behavior of a composite system including at least a first equipment and a second equipment that move in contact with each other among the multiple basic equipment; and an evaluation unit that calculates the change in the evaluation value of the composite model described by the composite parameter, based on the range of error or fluctuation calculated by the calculation unit, from the evaluation value of the composite model described by the composite parameter, which is a basic parameter describing the basic model of the first equipment, acquired by the acquisition unit, for the evaluation value of the behavior of the composite system when the elevator is operating.

[0007] The design support method relating to this disclosure is a method in which a computer performs the following actions: acquires information on characteristics including the range of error or fluctuation factors from the standard values ​​of basic parameters that describe each of a plurality of basic models, each corresponding to one of a plurality of basic equipment constituting an elevator and simulating the behavior of the corresponding basic equipment; calculates the range of error or fluctuation from the standard values ​​of composite parameters that describe a composite model, using information on the error characteristics of the first parameter, which is a basic parameter that describes the basic model of the first equipment, and information on the error characteristics of the second parameter, which is a basic parameter that describes the basic model of the second equipment, for a composite model that simulates the behavior of a composite system including at least a first equipment and a second equipment that move in contact with each other; and calculates the change in the evaluation value of the composite model described by the composite parameter, based on the range of error or fluctuation calculated using the error characteristics of the first parameter and the error characteristics of the second parameter, from the evaluation value of the composite model described by the composite parameter, which is based on the range of error or fluctuation calculated using the error characteristics of the first parameter and the error characteristics of the second parameter, for the evaluation value of the behavior of the composite system when the elevator is operating.

[0008] The design support program according to the present disclosure causes a computer to obtain, for a plurality of basic models each corresponding to one of a plurality of basic devices constituting an elevator and simulating the behavior of the corresponding basic device, information on characteristics including a range of errors or factors of variation from standard values of basic parameters describing each of the plurality of basic models, and for a composite model that is a model simulating the behavior of a composite system including at least a first device and a second device that move in contact with each other among the plurality of basic devices, calculate a range of errors or variations from standard values of composite parameters describing the composite model using information on characteristics of errors of a first parameter that is a basic parameter describing the basic model of the first device and information on characteristics of errors of a second parameter that is a basic parameter describing the basic model of the second device, and calculate a change in an evaluation value of the behavior of the composite system when the elevator operates, based on the range of errors or variations calculated using the characteristics of errors of the first parameter and the characteristics of errors of the second parameter, from the evaluation value by the composite model described by the standard composite parameters.

Advantages of the Invention

[0009] According to the design support device, design support method, or design support program according to the present disclosure, it is possible to perform a design considering errors that can occur in a real elevator.

Brief Description of the Drawings

[0010] [Figure 1] It is a configuration diagram of an elevator according to Embodiment 1. [Figure 2] It is a perspective view showing the configuration of an elevator according to Embodiment 1. [Figure 3] It is a perspective view showing a drive sheave according to Embodiment 1. [Figure 4] It is a cross-sectional view showing an example of a sheave groove according to Embodiment 1. [Figure 5] It is a cross-sectional view showing an example of a sheave groove according to Embodiment 1. [Figure 6] This is a configuration diagram of the design support device according to Embodiment 1. [Figure 7] This figure illustrates an example of a composite model in the design support device according to Embodiment 1. [Figure 8] This figure illustrates an example of a composite model in the design support device according to Embodiment 1. [Figure 9] This figure illustrates an example of a composite model in the design support device according to Embodiment 1. [Figure 10] This figure illustrates an example of a composite model in the design support device according to Embodiment 1. [Figure 11] This is a flowchart showing an example of the operation of the design support device according to Embodiment 1. [Figure 12] This is a hardware configuration diagram of the main parts of the design support device according to Embodiment 1. [Figure 13] This is a configuration diagram of the design support device according to Embodiment 2. [Figure 14] This figure illustrates an example of a change over time evaluated by the design support device according to Embodiment 2. [Figure 15] This figure illustrates an example of a change over time evaluated by the design support device according to Embodiment 2. [Figure 16A] This figure illustrates an example of a change over time evaluated by the design support device according to Embodiment 2. [Figure 16B] This figure illustrates an example of a change over time evaluated by the design support device according to Embodiment 2. [Figure 17] This is a configuration diagram of the design support device according to Embodiment 3. [Figure 18] This figure illustrates an example of a disturbance model in the design support device according to Embodiment 3. [Figure 19] This figure illustrates an example of a disturbance model in the design support device according to Embodiment 3. [Figure 20] This figure illustrates an example of a disturbance model in the design support device according to Embodiment 3. [Modes for carrying out the invention]

[0011] The embodiments for carrying out the subject matter of this disclosure will be described with reference to the attached drawings. In each drawing, the same or corresponding parts are denoted by the same reference numerals, and redundant explanations are simplified or omitted as appropriate. However, the subject matter of this disclosure is not limited to the following embodiments, and any modification of any component of the embodiments or omission of any component of the embodiments is possible without departing from the spirit of this disclosure.

[0012] Embodiment 1. Figure 1 is a diagram showing the configuration of elevator 1 according to Embodiment 1.

[0013] Elevator 1 is applicable to, for example, a building having multiple floors. In the building, an elevator shaft 2 for elevator 1 is provided. The elevator shaft 2 is a vertically long space spanning multiple floors. A pit 3 is provided at the bottom of the elevator shaft 2. Multiple guide rails 4 are provided in the elevator shaft 2. In this example, two sets of two guide rails 4 are arranged. Each guide rail 4 is a device whose longitudinal direction is the vertical direction of the elevator shaft 2. Each guide rail 4 is composed of, for example, multiple rail members arranged side by side in the vertical direction. Each guide rail 4 is installed over the entire vertical area of ​​the elevator shaft 2. Each set of guide rails 4 is arranged parallel to each other along the vertical direction in the elevator shaft 2. Each set of guide rails 4 faces each other. In each set of guide rails 4 in this example, one guide rail 4 faces the other guide rail 4 in the left-right direction. Each guide rail 4 is fixed to the elevator shaft 2 by, for example, a rail bracket. In this example, the machine room 5 of the elevator 1 is located above the hoistway 2. The elevator 1 comprises a hoisting machine 6, a main rope 7, a car 8, a counterweight 9, a compensating rope 10, and a control device 11.

[0014] The hoisting machine 6 is located, for example, in the machine room 5. For example, if a machine room is not provided in the elevator 1, the hoisting machine 6 may be located in the upper or lower part of the hoistway 2. The hoisting machine 6 comprises a drive motor 12 and a drive sheave 13. The drive motor 12 is a device that generates drive torque. The drive sheave 13 is a device that rotates due to the drive torque generated by the drive motor 12.

[0015] The main rope 7 is wound around the drive sheave 13 of the hoisting machine 6. In this example, the main rope 7 is also wound around the deflection wheel 14, which is a sheave located in the machine room 5. The main rope 7 supports the load of the cage 8 on one side of the drive sheave 13. The main rope 7 supports the load of the counterweight 9 on the other side of the drive sheave 13. As the drive sheave 13 rotates, the main rope 7 moves so that one side of the drive sheave 13 is wound up by the frictional force between it and the drive sheave 13. The main rope 7 may be a linear member such as a wire rope, or a strip member such as a belt rope.

[0016] The car 8 is positioned in the hoistway 2. The car 8 is a device that transports users of the elevator 1 between multiple floors by traveling vertically in the hoistway 2. The car 8 comprises a car compartment 15 and a car frame 16. The car compartment 15 is a box-shaped part inside which users of the elevator 1 ride. The car frame 16 is a frame-shaped part that surrounds the car compartment 15. In this example, the main rope 7 is attached to the car frame 16 via a shackle 17. The shackle 17 may have, for example, a shackle spring that provides elasticity at the connection point with the main rope 7. The car frame 16 supports the car compartment 15 via vibration-damping rubber 18 provided at the four corners under the floor of the car compartment 15. A guide device 19 is provided in the car frame 16 of the car 8. The guide device 19 provided on the car 8 receives guidance from the guide rail 4 to restrict the horizontal displacement of the car 8 by contacting the surface of the guide rail 4. In this example, the guide device 19 includes a guide roller and a vibration-damping spring. The guide roller is a roller that receives a force to restrict the horizontal displacement of the car 8 by contacting the surface of the guide rail 4. The vibration-damping spring is a spring that presses the guide roller against the surface of the guide rail 4 by elastic force. Note that the guide device 19 is not limited to a roller guide type having a guide roller, but may also be a slide guide type having a guide shoe that slides in contact with the guide rail 4. The car 8 travels vertically in the hoistway 2 over the lifting and lowering stroke. The lifting and lowering stroke is the range in which the car 8 moves up and down in the hoistway 2. The car 8 travels vertically in the hoistway 2 in conjunction with the movement of the main rope 7 due to the rotation of the drive sheave 13 of the hoisting machine 6. The car 8 is an example of a lifting body that travels vertically in the hoistway 2. The vertical direction of the elevator shaft 2 is an example of the direction of travel of the elevator body. The elevator car 8 is positioned between one of the two sets of guide rails 4. The guide rails 4 positioned on both sides of the elevator car 8 in the left-right direction guide the elevator car 8's movement in the vertical direction through a guide device 19 provided on the elevator car 8.

[0017] The counterweight 9 is located in the elevator shaft 2. The counterweight 9 is a device that balances the loads on both sides of the drive sheave 13 with the elevator car 8. The counterweight 9 comprises a plurality of weights 20 and a weight frame 21. The plurality of weights 20 are devices that add mass to the counterweight 9. In the counterweight 9, the total mass of the counterweight 9 is adjusted by the number of the plurality of weights 20, etc. The weight frame 21 is a frame-shaped part that surrounds the plurality of weights 20. In this example, the main rope 7 is attached to the weight frame 21 via a shackle 17. The shackle 17 provided on the counterweight 9 may be the same as the shackle 17 provided on the elevator car 8, or it may be of a different type. The weight frame 21 supports the stacked plurality of weights 20. A guide device 19 is provided on the weight frame 21 of the counterweight 9. The guide device 19 provided on the counterweight 9 contacts the surface of the guide rail 4, receiving guidance from the guide rail 4 to restrict the horizontal displacement of the counterweight 9. The guide device 19 provided on the counterweight 9 may be the same as the guide device 19 provided on the car 8, or it may be of a different type. The counterweight 9 travels in the hoistway 2 on the opposite side of the car 8 in the vertical direction, in conjunction with the movement of the main rope 7 due to the rotation of the drive sheave 13. The counterweight 9 is an example of a lifting body that travels in the vertical direction on the hoistway 2. The counterweight 9 is positioned between two sets of guide rails 4, one set different from the set of guide rails 4 located on both sides of the car 8 in the left-right direction. The guide rails 4 located on both sides of the counterweight 9 in the left-right direction guide the movement of the counterweight 9 in the vertical direction through the guide device 19 provided on the counterweight 9.

[0018] One end of the compensating rope 10 is attached to the cage 8. The other end of the compensating rope 10 is attached to the counterweight 9. The compensating rope 10 is a device that compensates for the weight difference of the main rope 7 due to the positions of the cage 8 and the counterweight 9. The compensating rope 10 is wound around a sheave 22, for example, which is installed in a pit 3. The sheave 22 is a sheave that applies tension to the compensating rope 10. The compensating rope 10 may be a linear member such as a rope or chain, or it may be a strip-shaped member.

[0019] The control device 11 is a device that controls the operation of the elevator 1. The control device 11 is located, for example, in the machine room 5. For example, if there is no machine room in the elevator 1, the control device 11 may be located in the upper or lower part of the hoistway 2. The operation of the elevator 1 controlled by the control device 11 includes the movement of the car 8. The control device 11 moves the car 8, for example, through the control of the hoisting machine 6. The process of the control device 11 starting the stopped car 8 is sometimes called starting. The control device 11 is connected to the car 8 via a traveling cable 23 so that it can communicate, for example, control signals. The traveling cable 23 may be a cable that supplies power to the car 8. The traveling cable 23 may be composed of multiple cables. The traveling cable 23 is stretched in the hoistway 2 so as to hang between the car 8 and the inner wall of the hoistway 2. One end of the traveling cable 23 stretched in the hoistway 2 is connected to the car 8. The other end of the traveling cable 23, which is stretched across the elevator shaft 2, is fixed, for example, to the inner wall of the elevator shaft 2.

[0020] Figure 2 is a perspective view showing the configuration of the elevator 1 according to Embodiment 1.

[0021] In elevator 1, multiple main ropes 7 are used. One end of each main rope 7 is connected to the car 8, and the other end is connected to the counterweight 9. Each main rope 7 is wound around a drive sheave 13 and a deflector wheel 14. In this example, each portion of each main rope 7 is arranged parallel to an adjacent portion of another main rope 7.

[0022] Figure 3 is a perspective view showing the drive sheave 13 according to Embodiment 1.

[0023] In the drive sheave 13, a sheave groove 24 is provided around which the main rope 7 is wound. In the drive sheave 13, for example, the same number of sheave grooves 24 as the number of main ropes 7 are provided. In the portion that is wrapped around the drive sheave 13, the longitudinal direction of the main rope 7 is aligned with the circumferential direction of the drive sheave 13.

[0024] Figure 4 is a cross-sectional view showing an example of a sheave groove 24 according to Embodiment 1.

[0025] Figure 4 shows a cross-sectional view of the main rope 7 as it is suspended on the drive sheave 13, with the view taken from a plane perpendicular to the longitudinal direction. The sheave groove 24 is, for example, a groove with a cross-section such as a semicircular or U-shaped shape. The depth of the sheave groove 24 is, for example, the distance from the edge of the sheave groove 24 to the bottom of the sheave groove 24 in the radial direction of the drive sheave 13. The width of the sheave groove 24 is, for example, the distance from one edge of the sheave groove 24 to the other edge in the axial direction of the drive sheave 13.

[0026] Figure 5 is a cross-sectional view showing another example of the sheave groove 24 according to Embodiment 1.

[0027] Figure 5 shows a cross-sectional view of the main rope 7 as it is suspended on the drive sheave 13, with the view taken from a plane perpendicular to the longitudinal direction. An undercut 25 is provided at the bottom of the sheave groove 24. The depth of the sheave groove 24 may be, for example, the distance from the edge of the sheave groove 24 to the edge of the undercut 25 at the bottom of the sheave groove 24 in the radial direction of the drive sheave 13, or the distance from the edge of the sheave groove 24 to the bottom of the undercut 25.

[0028] In the design of elevator 1, the behavior of elevator 1 during operation, such as vibration of the car 8, is evaluated. Such evaluation of behavior is carried out using, for example, an elevator 1 design support device.

[0029] Figure 6 is a diagram showing the configuration of the design support device 26 according to Embodiment 1.

[0030] In the design of elevator 1, the behavior of part or all of elevator 1 when it is in operation is evaluated. Part of elevator 1 may be, for example, the car 8 or the counterweight 9. The behavior of elevator 1 is, for example, the vertical vibration of the car 8 that occurs when it is started by hoisting up the main rope 7. The behavior of elevator 1 is evaluated by evaluation values. The evaluation values ​​of the behavior of elevator 1 include, for example, the magnitude of the vertical vibration of the car 8. The magnitude of the vertical vibration is, for example, the amplitude of the acceleration vibration of the car 8 in the vertical direction. The evaluation values ​​of the behavior of elevator 1 may also be the magnitude of the tension acting on each main rope 7. Factors related to the calculation of such evaluation values ​​include, for example, the driving torque generated by the hoisting machine 6, the stiffness of the main rope 7, the spring stiffness of the shackle 17, the mass of the car frame 16, the mass of the car chamber 15, the stiffness of the vibration-damping rubber 18, and the coefficient of friction between the guide device 19 and the guide rail 4.

[0031] The behavior of elevator 1 is evaluated, for example, by a physical model. The physical model is represented by, for example, the equation of motion, which is a state equation representation that finds a state variable x that changes with time t and the output y under that state variable x. The equation of motion is expressed as equation (1), using the input u and coefficients A, B, and C.

[0032]

number

[0033] State variables x include, for example, the vertical displacement and velocity of the cage 8, as well as the rotation angle and rotational speed of sheaves such as the drive sheave 13 or deflector wheel 14. Input u includes, for example, the drive torque generated by the hoisting machine 6. Output y includes, for example, the vertical acceleration of the cage chamber 15, and the tension of each main rope 7. When state variables x, input u, and output y are multi-component, coefficients A, B, and C may be matrices. Coefficients A, B, and C include, for example, mechanical parameters such as the stiffness of the main ropes 7, the spring stiffness of the shackles 17, the mass of the cage frame 16, the mass of the cage chamber 15, the stiffness of the vibration-damping rubber 18, and the coefficient of friction between the guide device 19 and the guide rails 4.

[0034] Here, the lifting and lowering distance of elevator 1 is set according to the building specifications, etc. In elevator 1, the length of the main rope 7 changes depending on the lifting and lowering distance. Generally, the longer the lifting and lowering distance, the longer the main rope 7. The rigidity of the main rope 7 changes according to its length, and the longer the main rope 7, the lower its rigidity. Also, the passenger capacity that can be carried in the car 8 of elevator 1 is set according to the building specifications, etc. The larger the passenger capacity of car 8, the larger the capacity of the car compartment 15 is required, and therefore the total mass of the car frame 16 and the car compartment 15 also increases. In this way, the specifications of elevator 1, such as the lifting and lowering distance and passenger capacity, change depending on the building to which elevator 1 is applied. The specifications of elevator 1, such as the lifting and lowering distance and passenger capacity, change the mechanical parameters such as the rigidity and mass of the equipment that makes up elevator 1.

[0035] The mechanical parameters used in evaluating the behavior of elevator 1 using a physical model are set based on design values, etc. However, in a real elevator 1, errors from the design values ​​may occur due to tolerances such as manufacturing tolerances or changes over time. These errors can also cause errors in the mechanical parameters that describe the physical model, and as a result, the evaluation values ​​of elevator 1's behavior may change. In designing elevator 1, the real elevator 1, which may include errors from the design values, must satisfy the conditions imposed on the evaluation values ​​according to the specifications, etc. Therefore, it is necessary to design the elevator 1 while considering the errors that may occur in a real elevator 1. The design support device 26 supports the design of such elevator 1. Note that the design of elevator 1 is not limited to the design when applying existing models to a building, but may also include the development of new models and the improvement of existing models. Furthermore, the elevator 1 targeted by the design support device 26 is not limited to a 1:1 roping traction type elevator. Elevator 1 may be another type of traction type elevator, such as a 2:1 roping elevator. Elevator 1 is not limited to a traction type elevator, but may be another type of elevator, such as a hydraulic or self-propelled elevator. Elevator 1 may be a single-car elevator or a multi-car elevator.

[0036] Elevator 1 is composed of multiple basic components. Each basic component is, for example, a piece of equipment or device that serves as a basic unit when evaluating the behavior of elevator 1. The basic components include, for example, each guide rail 4, each main rope 7, drive motor 12, drive sheave 13, shackle 17, compensating rope 10, deflection wheel 14, car 15, car frame 16, shackle 17, vibration-damping rubber 18, guide rollers and vibration-damping springs of the guide device 19, weight 20, counterweight frame 21, tension wheel 22, and traveling cable 23. The basic components may also include, for example, the governor rope and governor sheave of the governor installed in elevator 1. The granularity of how far elevator 1 is decomposed into basic components is set according to the accuracy required for the analysis and evaluation of elevator 1. For example, the design support device 26 may treat the guide rollers and vibration-damping springs of the guide device 19 as separate basic components, or it may treat the guide device 19 as a single basic component. In the design support device 26, the behavior of basic equipment is physically modeled as a basic model for each basic equipment. The behavior of basic equipment includes physical properties such as the dynamic characteristics of the basic equipment. The behavior of basic equipment is modeled by, for example, the equation of motion in equation (1). A basic model corresponds to one of the basic equipment. A basic model is a physical model that simulates the behavior of the corresponding basic equipment. Each basic model includes one or more basic parameters. Basic parameters are parameters that describe the basic model. The basic parameters of a basic model represent, for example, the hardness, inertia, rigidity, or dimensions of the basic equipment to which the basic model corresponds. The basic parameters of a basic model may also represent other characteristics of the basic equipment to which the basic model corresponds.

[0037] In elevator 1, at least some of the basic equipment operates as a composite system. A composite system is, for example, equipment, apparatus, or system consisting of multiple basic equipment that can operate together in elevator 1. A composite system is, for example, a car 8, which includes a car 15, a car frame 16, vibration-damping rubber 18, and guide rollers and vibration-damping springs of a guide device 19. A composite system is, for example, a counterweight 9, which includes a weight 20, a counterweight frame 21, and guide rollers and vibration-damping springs of a guide device 19. A composite system is, for example, a hoisting machine 6, which includes a drive motor 12 and a drive sheave 13. A composite system may also be, for example, a system consisting of a single main rope 7 and a shackle 17 connected to it. A composite system may also be a speed governor provided in elevator 1. A composite system may be configured hierarchically so as to include one or more other composite systems as components. In this example, each basic equipment of elevator 1 is not shared by multiple composite systems that are not interdependent. In other words, when a basic device is included in two different composite systems, one composite system is included in the other. The composite system may be the entire elevator 1. In the design support device 26, the behavior of a composite system is physically modeled as a composite model by combining the basic models of the basic devices included in the composite system. The composite model corresponds to one of the composite systems. The composite model is a physical model modeled to simulate the behavior of the corresponding composite system. Each composite model includes one or more composite parameters. The composite parameters are parameters that describe the composite model. The composite parameters of a composite system are expressed, for example, using the basic parameters of the basic models of the basic devices included in the composite system. The composite parameters of a composite model represent, for example, the hardness, inertia, stiffness, or dimensions of the composite system to which the composite model corresponds. The hardness, inertia, stiffness, or dimensions of a composite system may be the effective value, average value, or sum of the entire composite system. The composite parameters of a composite model may also represent other characteristics of the composite system to which the composite model corresponds.

[0038] A composite model is, for example, an assembly model or a system model. An assembly model is, for example, a model that simulates the behavior of a composite system, such as its response to external forces, based on the behavior of each basic component that makes up the composite system. The assembly model allows a composite system containing multiple basic components to be effectively treated as a single component or device. For example, an assembly model is a model that simulates the behavior of the elevator car 8 as a composite system treated as a single device, based on the basic models of the car 15, car frame 16, vibration-damping rubber 18, and the guide rollers and vibration-damping springs of the guide device 19. An assembly model may include other assembly models as lower-level sub-assembly models. A system model is a model that simulates the interactions between components or devices in elevator 1. The system model allows these components or devices to be treated as a single system. The components and devices whose interactions are simulated by the system model are basic components or composite systems. In this example, an assembly model is set up for each composite system whose interactions are simulated by the system model. By establishing an assembly model for each composite system, it becomes possible to handle the interactions between composite systems without explicitly dealing with the internal states of each composite system. The composite system to which the system model corresponds may include a pair of basic devices that move in contact with each other. In this case, one basic device is an example of the first device, and the other basic device is an example of the second device. One or both of the first and second devices may be included in a composite system lower in level than the composite system to which the system model corresponds. The basic model corresponding to the first device is an example of the first model, and the basic parameters of the first model are examples of the first parameters. Similarly, the basic model corresponding to the second device is an example of the second model, and the basic parameters of the second model are examples of the second parameters. Here, the pair of basic devices that move in contact with each other may, for example, one rolling relative to the other, or one sliding relative to the other.The system model is, for example, a model that simulates the vibration of the cage 8 and counterweight 9 as they move up and down along the guide rail 4 via the main rope 7 due to the driving torque generated by the hoisting machine 6, as an interaction between the hoisting machine 6, the main rope 7, the guide rail 4, the cage 8, and the counterweight 9. The combination of the drive sheave 13 of the hoisting machine 6 and each main rope 7 is an example of a combination of the first and second equipment. The combination of the guide roller or guide shoe of the guide device 19 of the cage 8 or counterweight 9 and the guide rail 4 is an example of a combination of the first and second equipment.

[0039] Here, modeling a composite model from a basic model requires knowledge of the subject being modeled, and manually constructing a composite model can be difficult for less skilled engineers. Furthermore, since elevator 1 is often individually designed for each project according to the building's purpose, size, capacity, and other requirements, the specifications of each elevator 1 vary widely. Testing and evaluating all of these diverse specifications with an actual or test machine is extremely time-consuming. For this reason, the design support device 26 supports the design of elevator 1 by constructing a composite model from a basic model, performing analysis and evaluation using the composite model, and evaluating the impact of errors that may occur in the actual elevator 1.

[0040] The design support device 26 is a device that performs information processing in the design support of elevator 1. The design support device 26 is a computer system consisting of, for example, one or more server devices. Here, a computer system consisting of one or more devices may be simply called a computer. Part or all of the design support device 26 is an example of an information processing device. When the design support device 26 consists of multiple devices, these multiple devices may be located in different locations from one another. In this case, these multiple devices communicate information with each other, for example, through a communication network 27. The communication network 27 includes, for example, a wide-area network such as the Internet, a telephone network, or an optical communication network. Part or all of the functions of the design support device 26 may be implemented by, for example, processing, storage, or other resources on a cloud service. The design support device 26 includes a storage unit 28, an acquisition unit 29, a calculation unit 30, and an evaluation unit 31.

[0041] The memory unit 28 is a part equipped with the function of storing information. Part or all of the memory unit 28 may be mounted in an external device to the design support device 26. The memory unit 28 comprises a model memory unit 32 and a parameter memory unit 33. The model memory unit 32 is a part that stores information such as a physical model for evaluating the behavior of the elevator 1. The model information includes, for example, the functional form of a function in the equation of motion used when calculating evaluation values, algorithms, or other information. The model memory unit 32 comprises a basic model memory unit 34. The basic model memory unit 34 is a part that stores information for each basic model. The parameter memory unit 33 is a part that stores parameters in the models whose information is stored in the model memory unit 32. The parameter memory unit 33 comprises a basic parameter memory unit 35 and a tolerance memory unit 36. The basic parameter memory unit 35 is a part that stores the values ​​of the basic parameters of each basic model. The basic parameter memory unit 35 stores, for example, the design values ​​of the basic parameters. The design values ​​of the basic parameters are, for example, nominal values ​​such as hardness, inertia, rigidity, and dimensions corresponding to the basic parameter. The design values ​​of the basic parameters are examples of standard values ​​for the basic parameters. The tolerance storage unit 36 ​​stores tolerance information for each basic parameter. Tolerance represents the variation of values ​​around the nominal value. Tolerance is, for example, the variation of values ​​with the nominal value as the median. The tolerance storage unit 36 ​​may also store tolerance information as tolerance information.

[0042] The acquisition unit 29 is a part equipped with the function of acquiring information necessary for evaluating the behavior of elevator 1. The information acquired by the acquisition unit 29 includes, for example, input information entered by the engineer performing the design work through the terminal device 37. The terminal device 37 is connected to the design support device 26 via, for example, a communication network 27. The acquisition unit 29 may have a communication interface that connects to the communication network 27. In this case, the acquisition unit 29 may acquire input information from the terminal device 37 via the communication network 27. The input information includes, for example, information on various models used when evaluating the behavior of elevator 1, and information on analysis conditions when evaluating the behavior. The analysis conditions include, for example, the operation method of elevator 1 to be evaluated. The acquisition unit 29 may acquire model and parameter information stored in the storage unit 28. If information usable by the design support device 26 is stored in an external device, the acquisition unit 29 may acquire information from such external device. The acquisition unit 29 acquires, for example, information on the characteristics of the error from the standard values ​​of basic parameters for multiple basic models. Information regarding the characteristics of the error from the standard value includes, for example, information such as the range of the error from the standard value or the factors causing the error from the standard value to vary. In this example, the acquisition unit 29 acquires tolerance information, which represents the range of the error and uses the standard value of the basic parameter as the nominal value, as information regarding the characteristics of the error from the standard value of the basic parameter. The acquisition unit 29 may, for example, acquire the design value and tolerance information of the basic parameter as the nominal value stored in the storage unit 28 as default values. The acquisition unit 29 may, for example, acquire the design value and tolerance information of the basic parameter as the nominal value based on input information from the terminal device 37.

[0043] The calculation unit 30 is a part equipped with the function of constructing a composite model based on a basic model. The calculation unit 30 calculates the composite parameters of the composite model of a composite system using the basic parameters of the basic models of each basic device included in the composite system. The calculation unit 30 calculates the range or variation of the error of the composite parameters of the composite model of a composite system from the standard value using the error characteristics of the basic parameters of the basic models of each basic device included in the composite system from the standard value. The calculation unit 30 comprises a modeling condition setting unit 38, a basic model setting unit 39, an assembly model setting unit 40, a system model setting unit 41, and a cumulative tolerance setting unit 42.

[0044] The modeling condition setting unit 38 is responsible for setting the modeling conditions that constitute the composite model. The modeling conditions are set, in whole or in part, based on input information acquired by the acquisition unit 29 from the terminal device 37. The modeling condition setting unit 38 may also set default values ​​for the modeling conditions in bulk using information stored in the storage unit 28, etc., based on information such as the selection of the model type or specifications such as the lifting stroke and load capacity in the input information. The modeling conditions include, for example, evaluation conditions, system conditions, assembly conditions, and basic equipment conditions.

[0045] The system conditions include information about the system type of elevator 1. The system type may be, for example, the type of traction elevator such as 1:1 roping or 2:1 roping, or the type of elevator such as hydraulic or self-propelled. The system type information may also include information about the model of elevator 1. The system conditions may also include information about the specifications of elevator 1, such as the lifting distance and load capacity. Based on the system conditions, the modeling condition setting unit 38 sets combinations of devices or equipment included in elevator 1 and the types of interactions to be considered between the devices. The combinations of devices or equipment are set, for example, based on the system type. The types of interactions are set, for example, based on the combinations of devices. For example, when a traction elevator is selected as the system type, the modeling condition setting unit 38 sets the hoisting machine 6, main rope 7, guide rail 4, car 8, and counterweight 9 as devices included in elevator 1. The modeling condition setting unit 38 sets the interactions between devices, such as the friction between the hoisting machine 6 and the main rope 7, the friction between the cage 8 or counterweight 9 and the guide rail 4, and the motion of the cage 8 or counterweight 9 due to the tension of the main rope 7.

[0046] The assembly conditions include information about the composite system corresponding to each device included in elevator 1. The assembly conditions are set for each device included in elevator 1, which is set based on the system conditions. The assembly conditions include, for example, information about the basic equipment included in the composite system corresponding to each device. The assembly conditions may also include information about lower-level composite systems included in higher-level composite systems. In the assembly conditions, information such as the type of basic equipment is set. For example, as an assembly condition corresponding to car 8, information about the devices or equipment included in car 8 as a composite system is set. The assembly conditions corresponding to car 8 may individually set the type or model of the car compartment 15, car frame 16, vibration-damping rubber 18, and guide device 19, or it may be information such as the model of car 8 that specifies a combination of these devices. The assembly conditions for car 8 may include, for example, the number and arrangement of vibration-damping rubber 18. In the assembly conditions for car 8, for example, the type of guide device 19, such as roller guide type or slide guide type, may be set. The guide device 19 may be a composite system that includes guide rollers and vibration-damping springs as basic equipment. At this time, assembly conditions corresponding to the guide device 19 are set. Based on the assembly conditions, the modeling condition setting unit 38 sets the type, number, and arrangement of basic equipment included in each composite system.

[0047] The basic equipment conditions include information on each basic piece of equipment included in elevator 1. The basic equipment conditions are set for each basic piece of equipment included in each composite system of elevator 1, based on the assembly conditions. The basic equipment conditions include information on the basic parameters of the basic model corresponding to the basic piece of equipment. For example, the basic equipment conditions include information such as nominal values ​​and tolerances for basic parameters of each basic piece of equipment, such as hardness, inertia, rigidity, or dimensions.

[0048] The basic model setting unit 39 is responsible for setting the basic models. Based on the set basic equipment conditions, the basic model setting unit 39 sets basic parameters for the basic models corresponding to each basic piece of equipment in elevator 1. For example, the basic model setting unit 39 reads the basic models corresponding to each basic piece of equipment from the basic model storage unit 34 and sets the nominal values ​​set in the basic equipment conditions as basic parameters.

[0049] The assembly model setting unit 40 is the part that sets up the assembly model. Based on the set assembly conditions, the assembly model setting unit 40 combines basic models and other elements to construct the assembly model as a composite model. The method for constructing the assembly model for a combination of basic models is pre-set in the assembly model setting unit 40 according to the combination of basic models. For example, when the assembly model is described by the equations of motion of the internal state of the corresponding composite system, the assembly model setting unit 40 sets the pre-set corresponding equations of motion as the assembly model according to the type, number, and arrangement of basic equipment included in the composite system. The assembly model setting unit 40 calculates the composite parameters in the assembly model, such as the equations of motion, based on the basic parameters set by the basic model setting unit 39. The assembly model setting unit 40 sets the values ​​calculated using, for example, the nominal values ​​of each basic parameter as the standard values ​​for the composite parameters. The relationship between the composite parameters of the assembly model and the basic parameters of each basic equipment included in the corresponding composite system is pre-set in, for example, the assembly model setting unit 40.

[0050] The system model setting unit 41 is responsible for setting the system model. Based on the set system conditions, the system model setting unit 41 combines models such as assembly models or basic models to construct a system model as a composite model. The method for constructing the system model for a given combination of models is pre-set in the system model setting unit 41 according to the combination of models. For example, when the system model is described by equations of motion that include the interactions between corresponding composite systems, the system model setting unit 41 sets the pre-set corresponding equations of motion as the system model according to the type, number, and arrangement of the composite systems, as well as the type of interaction. The system model setting unit 41 calculates the composite parameters in the system model, such as the equations of motion, based on the basic parameters of the basic equipment set by the basic model setting unit 39 and the composite parameters of the assembly model set by the assembly model setting unit 40. The system model setting unit 41 uses, for example, the nominal values ​​of each basic parameter to calculate the standard values ​​for the composite parameters. The relationship between the composite parameters of the system model and the basic and composite parameters is pre-set in the system model setting unit 41, for example.

[0051] The cumulative tolerance setting unit 42 is the part that calculates the error range from the standard value of the composite parameters for a composite model of a composite system. The cumulative tolerance setting unit 42 calculates a range that represents the values ​​that the composite parameters can take when the basic parameters of the basic equipment included in the composite system change within the tolerance range, as the error range from the standard value of the composite parameters of the composite system.

[0052] The evaluation unit 31 is the part that evaluates the behavior of part or all of the elevator 1 when it is operating, using a model such as a system model set in the calculation unit 30. The evaluation unit 31 may evaluate the entire elevator 1 as a composite system using a system model that represents the entire elevator 1. The evaluation unit 31 devises evaluation values ​​for the behavior by simulating the behavior of the elevator 1 using the system model. For example, the evaluation unit 31 evaluates the vibration of the car 8 or counterweight 9 as the behavior of the elevator 1. The vibration of the car 8 or counterweight 9 is represented, for example, by time-series data representing the waveforms of displacement, velocity, or acceleration. The evaluation values ​​for the vibration of the car 8 or counterweight 9 are, for example, the maximum value of the displacement amplitude, velocity amplitude, or acceleration amplitude, or the natural frequency. For example, the evaluation unit 31 evaluates the behavior of the elevator 1 based on the operating conditions input as analysis conditions. The operating conditions are, for example, running the car 8 from the lowest floor and the top floor to the other. The evaluation unit 31 calculates an evaluation value for the behavior of the composite system using a composite model described by the composite parameters calculated as standard values ​​in the calculation unit 30. The evaluation unit 31 uses such an evaluation value based on standard values ​​as the nominal evaluation value.

[0053] Furthermore, the evaluation unit 31 also evaluates the change in the evaluation value according to the range of error from the standard value. The evaluation unit 31 calculates the change from the nominal evaluation value of the evaluation value by a composite model described by composite parameters based on the range of error calculated by the calculation unit 30. When the calculation unit 30 calculates a range representing the values ​​that the composite parameters can take as the range of error, the evaluation unit 31 selects a value included in that range as a composite parameter based on that range and calculates the evaluation value. For example, the evaluation unit 31 selects one or both of the maximum and minimum values ​​of that range and calculates the evaluation value. The evaluation unit 31 calculates the change from the nominal evaluation value of the evaluation value calculated in this way considering the error. For example, the evaluation unit 31 calculates the change in the evaluation value by calculating both the evaluation value calculated considering the error and the nominal evaluation value in a comparable format. For example, the evaluation unit 31 may calculate the change in the evaluation value by calculating the difference between the evaluation value calculated considering the error and the nominal evaluation value as a difference or ratio. The nominal evaluation values ​​and changes in evaluation values ​​calculated by the evaluation unit 31 are output to the terminal device 37, for example, via the communication network 27. The engineer designs the elevator 1 by referring to the evaluation results output in this way. The evaluation unit 31 may automatically update the design of the elevator 1 based on the evaluation values ​​of the elevator 1's behavior or changes in those values.

[0054] Figure 7 illustrates an example of a composite model in the design support device 26 according to Embodiment 1.

[0055] In this example, elevator 1 includes, as basic equipment, guide rails 4, main rope 7, drive motor 12, drive sheave 13, shackle 17, deflection wheel 14, car 15, car frame 16, shackle 17, vibration-damping rubber 18, roller guide type guide device 19, weight 20, and counterweight frame 21. The basic model of the main rope 7 can be represented, for example, by a spring-mass model in which point masses are connected by springs. The basic model of the main rope 7 may also be a model that represents the behavior of the portion of the main rope 7 that is stretched by other equipment. The basic model of the main rope 7 may also be a model that simulates the portion of the main rope 7 stretched between the drive sheave 13 and the deflection wheel 14. The basic model of the main rope 7 may also be a model that simulates the portion of the main rope 7 stretched between the car 8 and a sheave such as the drive sheave 13. The basic model of the main rope 7 may be, for example, a model that simulates the portion of the main rope 7 stretched between the counterweight 9 and a sheave such as the deflection wheel 14. Basic models for other basic equipment are also predetermined according to the characteristics of each piece of equipment.

[0056] In the design support device 26, a composite model is constructed by combining basic models. In this example, the hoisting machine 6 is modeled as an assembly model, which is a composite model based on the basic models of the drive motor 12 and the drive sheave 13. The car 8 is also modeled as an assembly model, which is a composite model based on the basic models of the car chamber 15, car frame 16, vibration-damping rubber 18, and guide device 19. The counterweight 9 is also modeled as an assembly model, which is a composite model based on the basic models of the weight 20, counterweight frame 21, and guide device 19. The rope supporting the car 8 or counterweight 9 may also be modeled as an assembly model, which is a composite model based on the basic model of the main rope 7 and the basic model of the shackle 17. In this example, the entire elevator 1 is modeled as a system model, which is a composite model or a composite model based on the basic models of, for example, the hoisting machine 6, main rope 7, guide rail 4, car 8, and counterweight 9.

[0057] Figure 8 illustrates another example of a composite model in the design support device 26 according to Embodiment 1.

[0058] In this example, elevator 1 includes basic equipment such as a main rope 7. In the design support device 26, a basic model that simulates the behavior of a single main rope 7 is pre-set. The basic model of a single main rope 7 is represented, for example, by a spring-mass model in which point masses are connected by springs. The basic model of a single main rope 7 is, for example, a model that simulates the portion of the main rope 7 stretched between the car 8 and the drive sheave 13. The main rope 7 is looped over a sheave groove 24 in the drive sheave 13. The depth of the sheave groove 24 varies within a tolerance range around the nominal value. The depth of the sheave groove 24 affects the radius of the portion of the drive sheave 13 over which the main rope 7 is looped. Therefore, variations in the length of the main rope 7 wound up by the drive sheave 13 occur in accordance with the variations in the depth of the sheave groove 24. Due to such variations in length, variations in the tension applied to each main rope 7 may occur. In this example, in the portion of the first main rope 7 that is on the side of the basket 8, the tension T c1 The tension T is applied to the portion of the second main rope 7 that is on the side of the cage 8. c2 The tension T is applied to the portion of the first main rope 7 that is on the side of the counterweight 9. w1 The tension T is applied to the portion of the second main rope 7 that is on the side of the counterweight 9. w2 It will cost money.

[0059] In the design support device 26, a composite model that handles the behavior of multiple main ropes 7 together is constructed by combining basic models of a single main rope 7. A composite model corresponding to a composite system of multiple main ropes 7 is constructed, for example, by combining multiple basic models of a single main rope 7 as multiple spring-mass models arranged in parallel. Here, each main rope 7 is hung on different sheave grooves 24 in the drive sheave 13. Since the depths of the different sheave grooves 24 vary independently from each other, there are also independent variations in the length of each main rope 7 that is wound up by the same drive sheave 13. The design support device 26 considers these variations as errors from standard values ​​and analyzes the behavior of the elevator 1 taking these errors into account. In this composite system, for example, the maximum value, total value, or average value of the tension applied to each main rope 7 is calculated as an evaluation value.

[0060] Figure 9 illustrates another example of a composite model in the design support device 26 according to Embodiment 1.

[0061] In this example, elevator 1 includes basic equipment such as a compensating rope 10 and tensioning wheels 22. In the design support device 26, a basic model that simulates the behavior of the compensating rope 10 is pre-set. The basic model of the compensating rope 10 is represented, for example, by a spring-mass model in which point masses are connected by springs. The design support device 26 may also analyze the behavior of elevator 1 by considering variations in the groove depth of the sheave as an error from the standard value for the compensating rope 10 and tensioning wheels 22, similar to the case of the main rope 7 and drive sheave 13.

[0062] In the design support device 26, a composite model that treats the compensating rope 10 and the tensioner 22 as a combined system is constructed by combining the basic models of the compensating rope 10 and the tensioner 22.

[0063] Figure 10 illustrates another example of a composite model in the design support device 26 according to Embodiment 1.

[0064] In this example, elevator 1 includes basic equipment such as a traveling cable 23. In the design support device 26, a basic model that simulates the behavior of the traveling cable 23 is pre-set. The basic model of the traveling cable 23 is represented, for example, by a spring-mass model in which point masses are connected by springs. The basic model of the traveling cable 23 is, for example, a spring-mass model that includes a portion that folds back in a U-shape at the lower end.

[0065] Next, we will explain, using specific examples, the calculation of standard values ​​and error ranges from standard values ​​for composite parameters in the calculation unit 30, and the calculation of evaluation values ​​by the evaluation unit 31.

[0066] The composite system is, for example, the car 8. The composite parameter is, for example, the mass of the car 8. In this example, the car 8 includes, as basic equipment, a car frame 16, a car compartment 15, and a guide device 19, as well as a car door and auxiliary equipment. The car door is a door that separates the inside and outside of the car compartment 15. The auxiliary equipment corresponds to other equipment mounted on the car 8. For each basic piece of equipment, mass is set as a basic parameter related to inertia. For the mass, which is a basic parameter of the car frame 16, a nominal value m1 and a tolerance m1' are set. For the mass, which is a basic parameter of the car compartment 15, a nominal value m2 and a tolerance m2' are set. For the mass, which is a basic parameter of the guide device 19, a nominal value m3 and a tolerance m3' are set. For the mass, which is a basic parameter of the car door, a nominal value m4 and a tolerance m4' are set. For the mass, which is a basic parameter of the auxiliary equipment, a nominal value m5 and a tolerance m5' are set.

[0067] The mass of cage 8 is calculated as the sum of the masses of each basic component included in cage 8. The assembly model setting unit 40 sets the standard value M of the mass of cage 8. c M is defined as the sum of the nominal values, which are the standard values ​​of the mass of each basic instrument. cis calculated as = m1 + m2 + m3 + m4 + m5. On the other hand, the mass of the car 8 may deviate from the standard value due to errors from the nominal values of each basic parameter. The cumulative tolerance setting unit 42 calculates, as the cumulative tolerance, the range of values that the mass of the car 8 can take when such an error occurs. The cumulative tolerance setting unit 42 calculates, for example, the maximum value M c_max that the mass of the car 8 can take according to the following formula (2).

[0068]

Number

[0069] Similarly, the cumulative tolerance setting unit 42 calculates the minimum value M c_min that the mass of the car 8 can take according to the following formula (3).

[0070]

Number

[0071] At this time, the mass M c of the car 8 can take values within the range of not less than the minimum value M c_min and not more than the maximum value M c_max . The evaluation unit 31 analyzes the behavior of the elevator 1 using a composite model in which the standard value M c is set as the mass of the car 8 as a composite parameter, and calculates a nominal evaluation value. Also, the evaluation unit 31 selects a value included in the range calculated by the calculation unit 30 for the mass of the car 8 as a composite parameter. The evaluation unit 31 selects, for example, both the maximum value M c_max and the minimum value M c_min . The evaluation unit 31 analyzes the behavior of the elevator 1 using a composite model in which the maximum value M c_max of formula (2) is set as the mass of the car 8 as a composite parameter, and calculates an evaluation value corresponding to the maximum mass. The evaluation unit 31 sets the minimum value M c_max of formula (3) as the mass of the car 8 as a composite parameter, analyzes the behavior of the elevator 1, and calculates an evaluation value corresponding to the minimum mass.The behavior of elevator 1 is analyzed using the composite model with the settings configured, and an evaluation value corresponding to the minimum mass is calculated. The evaluation unit 31 outputs the nominal evaluation value, the evaluation value corresponding to the maximum mass, and the evaluation value corresponding to the minimum mass to a terminal device 37 or the like in a format that can be compared, for example, numerically or graphically. The evaluation unit 31 may also output the difference or ratio between the nominal evaluation value and the evaluation value corresponding to the maximum mass and the evaluation value corresponding to the minimum mass as the evaluation result.

[0072] The design support device 26 also calculates evaluation values ​​and changes in evaluation values ​​due to errors in the basic parameters as an evaluation of the behavior of the elevator 1, even when there are multiple basic parameters. In this case, the evaluation unit 31 calculates evaluation values ​​and their changes for all or some of the combinations of the maximum value, standard value, and minimum value of each basic parameter. When the evaluation unit 31 calculates multiple evaluation values ​​considering errors in the basic parameters, it may calculate the change from the nominal evaluation value for all of the multiple evaluation values, or it may calculate the change from the nominal evaluation value for some of the multiple evaluation values. The evaluation unit 31 may calculate the evaluation value and its change from the nominal evaluation value for the maximum and minimum evaluation values ​​among the multiple evaluation values, i.e., the evaluation value with the largest difference from the nominal evaluation value, and output it as an evaluation result. The design support device 26 also evaluates the behavior of the elevator 1 when there are multiple composite parameters. The design support device 26 also evaluates the behavior of the elevator 1 by calculating multiple types of evaluation values.

[0073] The calculation unit 30 may calculate the error range of the composite parameter from the standard value by other methods. For example, the calculation unit 30 calculates the error range of the composite parameter assuming that the variation of the basic parameters from the standard value follows a normal distribution. In this example, each basic parameter follows a normal distribution whose mean is the standard value. For each basic parameter, the tolerance is set to three times the standard deviation of the normal distribution. For example, the mass m of each basic device constituting the cage 8 i For (i=1,2,3,4,5), the standard deviation is σ iTherefore, the tolerance for the mass of each basic device is expressed by the following equation (4).

[0074]

number

[0075] The mass of cage 8, which is a composite parameter, is expressed as the sum of the masses of each basic component. Since the variations in the masses of each basic component are usually uncorrelated and independent, the composite parameter also follows a normal distribution due to the reproducibility of the normal distribution. Due to the additivity of the variance of the normal distribution, the cumulative tolerance M of the mass of cage 8 is... cz This can be expressed by the following equation (5).

[0076]

number

[0077] The cumulative tolerance setting unit 42 determines the maximum value M that the mass of the cage 8 can take according to the tolerance of the basic equipment. c_max and minimum value M c_min These values ​​are calculated as possible values ​​within the cumulative tolerance range of the mass of cage 8, using the following equations (5) and (6), respectively.

[0078]

number

[0079]

number

[0080] The evaluation unit 31 outputs the nominal evaluation value, the evaluation value corresponding to the maximum mass in equation (6), and the evaluation value corresponding to the minimum mass in equation (7) in a format that can be compared, for example, by numerical values ​​or graphs, to a terminal device 37 or the like. The evaluation unit 31 may also output the difference or ratio between the nominal evaluation value and the evaluation value corresponding to the maximum mass and the evaluation value corresponding to the minimum mass as the evaluation result.

[0081] The calculation of standard values ​​and error ranges from standard values ​​for composite parameters in the calculation unit 30, and the calculation of evaluation values ​​by the evaluation unit 31, will be explained using other specific examples. The calculation unit 30 may calculate the standard values ​​and error ranges from standard values ​​for composite parameters using, for example, the system moment method.

[0082] The composite system is a system that includes a drive sheave 13 and a main rope 7. In the main rope 7, which is a basic component, the Young's modulus of the main rope 7 is set as a basic parameter related to stiffness. In the main rope 7, which is a basic component, the cross-sectional area of ​​the main rope 7 is set as a basic parameter related to dimensions. In the drive sheave 13, which is a basic component, the depth of the sheave groove 24 is set as a basic parameter related to dimensions. For the Young's modulus of the main rope 7, which is a basic parameter, a nominal value E and a tolerance E' are set. For the cross-sectional area of ​​the main rope 7, which is a basic parameter, a nominal value S and a tolerance S' are set. For the depth of the sheave groove 24, which is a basic parameter of the drive sheave 13, a nominal value h and a tolerance h' are set. In the composite system, the tension of the main rope 7 is calculated as an evaluation value. The composite parameters of the composite model corresponding to this composite system are, for example, the spring stiffness of a single main rope 7 in the portion of the main rope 7 stretched between the cage 8 and the drive sheave 13. The standard value of the spring stiffness of the main rope 7 is k. c1 It is calculated using the nominal values ​​of the basic parameters by the following equation (8).

[0083]

number

[0084] Here, the natural length L of the main rope 7. c1 This is the length of the main rope 7 when no load is applied by the cage 8, and using the radius R of the drive sheave 13 and the rotation angle θ of the drive sheave 13, L c1 =L c1 It is calculated as (0)-(Rh)θ, where length L c1(0) represents the natural length of the main rope 7 when the rotation angle of the drive sheave 13 is the reference rotation angle θ=0. Thus, the natural length L c1 This is a quantity that changes depending on the rotation angle θ of the drive sheave 13, i.e., the position of the cage 8, and is affected by the depth h of the sheave groove 24.

[0085] The spring stiffness of the main rope 7 as a composite parameter may deviate from the standard value due to errors from the nominal values ​​of each basic parameter. The cumulative tolerance setting unit 42 calculates the range of values ​​that the spring stiffness of the main rope 7 can take when such errors occur, as a cumulative tolerance. For example, the cumulative tolerance setting unit 42 sets the cumulative tolerance k of the spring stiffness of the main rope 7 according to the tolerance of the basic equipment. c1 ' is calculated using the following formula (9).

[0086]

number

[0087] Here, the partial derivative ∂k c1 / ∂E is the composite parameter k c1 This is an example of the sensitivity coefficient of the fundamental parameter E for . Partial derivative ∂k c1 / ∂S is also an example of a sensitivity coefficient. The specific formula for calculating the sensitivity coefficient may be pre-set in the cumulative tolerance setting unit 42, or it may be automatically set by symbolic differentiation from the expression of the composite parameter expressed by basic parameters such as equation (8). The cumulative tolerance setting unit 42 may also calculate the sensitivity coefficient by numerical differentiation or automatic differentiation. Tolerance L of the natural length of the main rope 7 c1 ' is obtained from the following equation (10) L c1 It is expressed using the tolerance h' of the depth of the sheave groove 24, where '=h'θ.

[0088]

number

[0089] The cumulative tolerance setting unit 42 determines the maximum value k that the spring stiffness of the main rope 7 can take according to the tolerance of the basic equipment.c1_max and minimum value k c1_min k is a value that can be taken within the cumulative tolerance range of the spring stiffness of the main rope 7. c1_max =k c1 +k c1 ' and k c1_min =k c1 -k c1 Each is calculated as shown above. The evaluation unit 31 outputs the nominal evaluation value, the evaluation value corresponding to the maximum spring stiffness, and the evaluation value corresponding to the minimum spring stiffness to a terminal device 37 or the like in a format that can be compared, for example, by numerical values ​​or graphs.

[0090] The evaluation unit 31 may select multiple values ​​that are not standard values ​​from the range calculated by the calculation unit 30 for the spring stiffness of the main rope 7 as a composite parameter. In this case, the evaluation unit 31 generates and uses these multiple values, for example, by random numbers or pseudo-random numbers. The evaluation unit 31 may also evaluate the variability of the composite parameter by, for example, the Monte Carlo method. For example, the evaluation unit 31 samples basic parameters such as the Young's modulus and cross-sectional area of ​​the main rope 7 and the depth of the sheave groove 24, assuming a probability distribution such as a normal distribution with the standard value as the mean and a constant multiple of the tolerance as the standard deviation. The basic parameters sampled at this time include deviations as specific values ​​of error from the standard values. The evaluation unit 31 obtains values ​​that are not standard values ​​from the range calculated by the calculation unit 30 by substituting each basic parameter, including the deviation from the standard value, into the composite parameter expression expressed in terms of basic parameters, such as equation (8). The evaluation unit 31 obtains multiple composite parameters including deviations by sampling using random numbers in this way, and calculates an evaluation value using these multiple composite parameters. The evaluation unit 31 outputs, for example, a nominal evaluation value and statistical quantities such as the mean or variance of multiple evaluation values ​​obtained through sampling, as changes in the evaluation value to a terminal device 37 or the like.

[0091] Next, an example of the operation of the design support device 26 will be explained using Figure 11. Figure 11 is a flowchart showing an example of the operation of the design support device 26 according to Embodiment 1.

[0092] In step S1, the acquisition unit 29 acquires information necessary for evaluating the behavior of elevator 1. The acquisition unit 29 acquires, for example, input information entered by an engineer through the terminal device 37. The acquisition unit 29 may also acquire, for example, model and parameter information stored in the storage unit 28. In this example, the acquisition unit 29 acquires information on evaluation conditions, system conditions, assembly conditions, and basic equipment conditions as modeling condition information. The modeling condition information includes nominal values ​​and tolerances for each basic parameter. The modeling condition information may also include information specifying the method for evaluating cumulative tolerances by the cumulative tolerance setting unit 42. The modeling condition setting unit 38 of the calculation unit 30 sets the modeling conditions for the analysis and evaluation of the behavior of elevator 1 based on the information acquired by the acquisition unit 29. After that, the design support device 26 proceeds to step S2.

[0093] In step S2, the basic model setting unit 39 of the calculation unit 30 sets the basic model for each basic device based on the basic device conditions set by the modeling condition setting unit 38. The setting of the basic model includes setting nominal values ​​and tolerances as standard values ​​for the basic parameters. After that, the design support device 26 proceeds to step S3.

[0094] In step S3, the assembly model setting unit 40 of the calculation unit 30 sets the corresponding composite assembly model based on the assembly conditions set by the modeling condition setting unit 38. The setting of the assembly model includes the composition of composite parameters in the assembly model, which is a composite model, from basic parameters, etc. The cumulative tolerance setting unit 42 of the calculation unit 30 sets the cumulative tolerance of the composite parameters in the assembly model. After that, the design support device 26 proceeds to step S4.

[0095] In step S4, the system model setting unit 41 of the calculation unit 30 sets the system model for the corresponding composite system based on the system conditions set by the modeling condition setting unit 38. The system model setting includes the configuration of composite parameters in the system model, which is a composite model, from basic parameters, etc. The cumulative tolerance setting unit 42 of the calculation unit 30 sets the cumulative tolerance of the composite parameters in the system model. After that, the design support device 26 proceeds to step S5.

[0096] In step S5, the evaluation unit 31 analyzes and evaluates the behavior of elevator 1 using each of the configured models. The evaluation unit 31 calculates nominal evaluation values ​​using standard values ​​for the parameters of each model, and evaluation values ​​using values ​​obtained by adding an error to the standard values ​​of the parameters. After that, the design support device 26 proceeds to step S6.

[0097] In step S6, the evaluation unit 31 calculates the change in evaluation value due to the error of the parameter from its standard value. The design support device 26 may output the nominal evaluation value and the change in evaluation value due to the error calculated by the evaluation unit 31 to, for example, the terminal device 37. After that, the design support device 26 proceeds to step S7.

[0098] In step S7, the evaluation unit 31 determines whether the evaluation value conforms to the standard by analyzing and evaluating the behavior of the elevator 1. The standard for the evaluation value is predetermined by, for example, the specifications of the elevator 1 or legal regulations. The evaluation unit 31 determines whether the evaluation value conforms to the standard by, for example, whether the calculated nominal evaluation value falls within the acceptable range of the standard. The evaluation unit 31 may also determine whether the evaluation value conforms to the standard by, for example, whether all of the calculated nominal evaluation value and the evaluation value calculated considering the error fall within the acceptable range of the standard. If the evaluation value does not conform to the standard, the design support device 26 proceeds to step S8. On the other hand, if the evaluation value conforms to the standard, the design support device 26 terminates.

[0099] In step S8, the evaluation unit 31 updates the design of elevator 1. For example, the evaluation unit 31 may have a table or the like that pre-sets the types of basic parameters whose nominal values ​​or tolerances can be updated for the type of behavioral analysis of elevator 1 and the types of evaluation values ​​that did not conform to the criteria. The table may include information such as the absolute or relative values ​​of the nominal values ​​or tolerances of the basic parameters that can be updated. At this time, the evaluation unit 31 updates the nominal values ​​or tolerances of the basic parameters based on the table. The evaluation unit 31 may, for example, select one of the update values ​​in the table to update the basic parameters. Alternatively, the evaluation unit 31 may, for example, select some or all of the update values ​​in the table to update the basic parameters and then adopt the updated values ​​whose evaluation values ​​conform to the criteria as a result of the analysis evaluation. For example, in an analysis of how the elevator car 8 moves up and down using the drive torque generated by the hoisting machine 6, the evaluation unit 31 updates the value of the control gain of the speed controller, which is a basic parameter of the drive motor 12 of the hoisting machine 6, as a corresponding parameter when the vibration of the elevator car 8 at startup, as an evaluation value, deviates from the standard tolerance range. The evaluation unit 31 may update the design of the elevator 1 by, for example, a general-purpose optimization calculation method. The evaluation unit 31 may, for example, use the difference between the nominal evaluation value and the tolerance value or the boundary value of the tolerance range as the objective function and perform an optimization calculation to minimize the objective function. The evaluation unit 31 may calculate the sum of squares or weighted sum of squares of the differences between the nominal evaluation value and the tolerance value for all evaluation values ​​calculated considering the nominal evaluation value and the error, and perform an optimization calculation using this as the objective function. When the evaluation unit 31 weights the evaluation values ​​calculated considering the nominal evaluation value and the error, it may assign a larger weight to the nominal evaluation value. In the optimization calculation, the evaluation unit 31 may use variables such as the nominal values ​​and tolerances of the basic parameters of each basic model. After updating the design of elevator 1, the design support device 26 proceeds to step S5. However, if the basic model or composite model changes significantly due to the design update, the design support device 26 may proceed to step S1.Furthermore, the design updates for elevator 1 may be performed manually by engineers, for example, through terminal equipment 37. In this case, the nominal evaluation values ​​calculated by the evaluation unit 31 and changes in evaluation values ​​due to parameter errors are referenced.

[0100] As described above, the design support device 26 according to Embodiment 1 comprises an acquisition unit 29, a calculation unit 30, and an evaluation unit 31. The acquisition unit 29 acquires information on the error characteristics of the basic parameters describing each basic model from their standard values ​​for a plurality of basic models. Each basic model corresponds to one of a plurality of basic devices that constitute the elevator 1 and is a model that simulates the behavior of the corresponding basic device. The information on the error characteristics includes information on the error range or the factors causing the variation. The calculation unit 30 uses the information on the error characteristics of the basic parameters of each basic device acquired by the acquisition unit 29 to calculate the error range from the standard values ​​of the composite parameters that describe the composite model. The composite model simulates the behavior of a composite system that includes a plurality of basic devices that move in contact with each other. The evaluation unit 31 calculates the change from the nominal evaluation value of the evaluation value of the composite model, which is described by composite parameters based on the error range calculated by the calculation unit 30, for the evaluation value of the behavior of the composite system when the elevator 1 is operating. The nominal evaluation value is the evaluation value of the composite model, which is described by composite parameters of standard values.

[0101] With this configuration, the error range of the composite parameters in a composite system, such as the entire elevator 1, is automatically calculated based on the error characteristics of the basic parameters from their standard values. Furthermore, based on the error range of the composite parameters, the change in the evaluation value of the composite model due to such errors is calculated. This makes it possible to design elevators that take into account errors that may occur in real-world elevators. In addition, the design support device 26 automatically constructs a composite model from the basic model. Therefore, even engineers with low skill in model construction can perform designs using physical models that take into account errors that may occur in reality. Also, since the construction of the composite model of the composite system is performed automatically, engineers performing the design can easily analyze and evaluate elevator 1 according to the combination of basic equipment, which may differ for each project. Furthermore, elevator 1 is a system that includes multiple highly independent devices that do not share any common parts with each other, such as the car 8, hoisting machine 6, and counterweight 9. These devices are linked via other devices such as the main rope 7. Therefore, errors such as variations in the composite parameters of the assembly models corresponding to each device have a high degree of independence from each other. For this reason, the design support device 26 can evaluate the effect of variations in composite parameters on elevator 1 with high accuracy. On the other hand, elevator 1 has basic components or devices that move in contact with each other, such as the car 8 and guide rail 4, the main rope 7 and drive sheave 13, or the compensating rope 10 and tensioner 22. The interaction between these devices that move in contact with each other may be affected by errors from the standard values ​​of the basic parameters of both components. The design support device 26 takes into account the effects of such combinations of basic components when calculating errors in the composite parameters of the system model, and can evaluate the interactions between devices with high accuracy.

[0102] Furthermore, the acquisition unit 29 acquires tolerance information, with the standard value of the basic parameter being the nominal value, as information representing the range of error characteristics from the standard value of the basic parameter. The calculation unit 30 calculates, for example as a cumulative tolerance, the range of values ​​that the composite parameter can take when the basic parameters of the basic equipment included in the composite system change within the tolerance range, as the range of error from the standard value of the composite parameter. The evaluation unit 31 calculates the change in evaluation value using the composite parameter that is not the standard value within the range calculated by the calculation unit 30, as the composite parameter based on the range of error calculated by the calculation unit 30.

[0103] With this configuration, the variation in the cumulative tolerance of composite parameters in a composite system, such as the entire elevator 1, is automatically calculated based on the variation in basic parameters such as the tolerances of the basic equipment. Furthermore, the change in the evaluation value of the composite model is calculated based on the variation in the composite parameters. This makes it possible to design elevators that take into account variations within tolerance ranges that can occur in real elevators.

[0104] Furthermore, the evaluation unit 31 uses multiple composite parameters that are not standard values ​​within the range calculated by the calculation unit 30 to calculate the evaluation value that represents the largest change from the nominal evaluation value among the evaluation values ​​of the composite model described by the composite parameters that are not standard values.

[0105] This configuration allows us to obtain information on the upper limit of the change in evaluation values ​​due to errors in the basic parameters, making it possible to evaluate whether the specifications and other criteria required for elevator 1 are met even when considering errors that may actually occur.

[0106] Furthermore, the evaluation unit 31 generates and uses multiple composite parameters that are not standard values ​​within the range calculated by the calculation unit 30, using random or pseudo-random numbers.

[0107] With this configuration, even when there are many combinations of basic parameters and composite parameters, or when the relationship between basic parameters and composite parameters is complex, the evaluation unit 31 can calculate the change in evaluation value due to errors in the composite parameters.

[0108] Furthermore, the calculation unit 30 calculates the range of possible values ​​for the composite parameter using the value obtained by multiplying the sensitivity coefficient of the basic parameter with respect to the composite parameter by the tolerance of the basic parameter.

[0109] This configuration allows the influence of errors in the basic parameters to be reflected more accurately in the errors of the composite parameters, especially when the relationship between the basic parameters and the composite parameters is known.

[0110] Furthermore, the basic parameters of the basic model represent at least one of the hardness, inertia, stiffness, and dimensions of the basic equipment to which the basic model corresponds. The composite parameters of the composite model represent at least one of the hardness, inertia, stiffness, and dimensions of the composite system.

[0111] This configuration allows for the consideration of basic parameters such as the physical characteristics of the basic equipment, making it easier to evaluate the impact on subsequent design processes, such as conditions for manufacturing tolerances.

[0112] Next, we will explain an example of the hardware configuration of the design support device 26 using Figure 12. Figure 12 is a hardware configuration diagram of the main parts of the design support device 26 according to Embodiment 1.

[0113] Each function of the design support device 26 can be realized by a processing circuit. The processing circuit comprises at least one processor 100a and at least one memory 100b. The processing circuit may also include at least one dedicated hardware 200 together with the processor 100a and memory 100b, or as a substitute for them.

[0114] When the processing circuit includes a processor 100a and a memory 100b, each function of the design support device 26 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. This program is stored in the memory 100b. The processor 100a realizes each function of the design support device 26 by reading and executing the program stored in the memory 100b. The program may be a program package that includes multiple subprograms, modules, or libraries. The program may be the product itself, such as a program product, or something included in such a product.

[0115] The processor 100a is also called a CPU (Central Processing Unit), processing unit, arithmetic unit, microprocessor, microcomputer, or DSP. The memory 100b is composed of non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, or EEPROM.

[0116] If the processing circuit includes dedicated hardware 200, the processing circuit may be implemented as, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof.

[0117] Each function of the design support device 26 can be implemented by a processing circuit. Alternatively, each function of the design support device 26 can be implemented collectively by a processing circuit. Some functions of the design support device 26 may be implemented by dedicated hardware 200, while others are implemented by software or firmware. Thus, the processing circuit implements each function of the design support device 26 using dedicated hardware 200, software, firmware, or a combination thereof.

[0118] Embodiment 2. In Embodiment 2, the differences from the example disclosed in Embodiment 1 will be explained in particular detail. For features not described in Embodiment 2, any of the features from the example disclosed in Embodiment 1 may be adopted.

[0119] Figure 13 is a configuration diagram of the design support device 26 according to Embodiment 2.

[0120] The design support device 26 considers the effects of variations due to changes over time from the initial values ​​as an effect of errors that may occur in the actual elevator 1. Here, changes over time represent changes over a long period of time that is sufficiently longer than the time required for each trip of the elevator car 8 from starting to stopping. In this example, changes over time in elevator 1 do not include short-term, oscillating changes. In this example, changes over time in elevator 1 may also be called deterioration. Changes over time represent, for example, wear, elongation, deformation, or other changes.

[0121] The calculation unit 30 includes a degradation evaluation unit 43. The degradation evaluation unit 43 is the part that calculates the long-term temporal changes of the basic parameters of the basic model for some or all of the basic equipment. The degradation evaluation unit 43 calculates the temporal changes based on a degradation model that represents the temporal changes of the basic equipment associated with the operation of elevator 1. The degradation model is, for example, predetermined for each piece of basic equipment. When calculating the temporal changes using the degradation model, the standard value that serves as the basis for the error represents, for example, the initial value at the start of operation of elevator 1. The initial value is, for example, a design value or a nominal value. The initial value may also be a value in which a deviation is added as an error within the tolerance range to the nominal value. The degradation evaluation unit 43 may be part of the calculation unit 30, or it may be provided independently outside of the calculation unit 30.

[0122] The acquisition unit 29 acquires information about the operation scenario, which represents the operation of elevator 1 that is a factor in the variation of the error, as information about the characteristics of the error from the standard value of the basic parameter. The information about the operation scenario may be common to each basic parameter. The information about the operation scenario represents, for example, the expected operation status of elevator 1. The information about the operation scenario includes, for example, information such as the frequency or utilization rate of elevator 1 starting up. The information about the operation scenario includes, for example, information such as the expected number of starts for elevator 1. The information about the operation scenario includes, for example, information such as the average occupancy rate of car 8. The information about the operation scenario includes, for example, information about the maintenance of elevator 1. The information about the maintenance of elevator 1 is, for example, information about the timing of maintenance work such as inspection or parts replacement. The maintenance work information is specified by, for example, the elapsed time since the start of operation or the cumulative number of starts since the start of operation.

[0123] In the design support device 26, the model storage unit 32 of the storage unit 28 includes a degraded model storage unit 44. The degraded model storage unit 44 is the part that stores information on the degraded model for each basic device. In addition, the parameter storage unit 33 of the storage unit 28 includes a degraded parameter storage unit 45. The degraded model storage unit 44 is the part that stores the degraded parameters that describe the degraded model.

[0124] The calculation unit 30 calculates the change in composite parameters over time as the basic parameters of the basic equipment included in the composite system change over time, as a variation in the error of the composite parameters of the composite system from the standard value. The change in basic parameters of the basic equipment used by the calculation unit 30 is calculated by the deterioration evaluation unit 43 based on a deterioration model as the change over time when following the operation scenario acquired by the acquisition unit 29. For example, the calculation unit 30 calculates the number of starts expected for each period from the start of operation of elevator 1 based on the operation scenario. The calculation unit 30 adds the change in basic parameters calculated by the deterioration evaluation unit 43 for this calculated number of starts to the initial value of the basic parameters. The calculation unit 30 uses the basic parameters to which the change due to change over time has been added to calculate the changed composite parameters for each period. If the operation scenario has a timing for maintenance work, the calculation unit 30 may, for example, reset the basic parameters of the basic equipment that is subject to maintenance work at that timing to their initial values. In this case, the calculation unit 30 may determine whether or not to reset the basic parameters based on whether or not the amount of change in the basic parameters due to changes over time exceeds a preset threshold. The calculation unit 30 may also consider the impact of maintenance work by other methods.

[0125] The evaluation unit 31 calculates evaluation values ​​for the behavior of a composite system, such as part or all of the elevator 1, using a composite model described by composite parameters calculated as initial values ​​by the calculation unit 30. The evaluation unit 31 uses these evaluation values ​​based on initial values ​​as the initial evaluation values. The evaluation unit 31 also evaluates the variation in evaluation values ​​in accordance with the variation in error from the standard value. When the calculation unit 30 calculates the change in composite parameters over time as a variation in error, the evaluation unit 31 calculates the evaluation values ​​for each period using the composite parameters for each period that have changed from the initial value. The evaluation unit 31 calculates the variation in evaluation values, for example, by calculating the initial evaluation value and the evaluation values ​​for each period in a comparable format. The evaluation unit 31 may also calculate the variation in evaluation values, for example, by calculating the difference between the initial evaluation value and the evaluation values ​​for each period as a difference or ratio. The variation in evaluation values ​​calculated by the evaluation unit 31 is output to the terminal device 37 via the communication network 27, for example.

[0126] The evaluation unit 31 determines whether the evaluation value conforms to the standard by analyzing and evaluating the behavior of elevator 1. The evaluation unit 31 may, for example, determine whether the evaluation value conforms to the standard by considering a period prior to a predetermined timing and determining whether all of the calculated initial evaluation value and the evaluation value for each period are within the acceptable range of the standard. The evaluation unit 31 may, for example, calculate the time at which the evaluation value no longer conforms to the standard.

[0127] Figure 14 illustrates an example of a change over time evaluated by the design support device 26 according to Embodiment 2.

[0128] In this example, the deterioration evaluation unit 43 calculates the change in the depth of the sheave groove 24 of the drive sheave 13 over time. The sheave groove 24 around which the main rope 7 is wound wears down due to repeated contact with the main rope 7 during the continuous operation of the elevator 1. Due to wear, the depth of the sheave groove 24 changes over time to become deeper. Figure 14 shows an example of a worn drive sheave 13, with the drive sheave 13 in Figure 4 as the initial state. In Figure 14, the main rope 7 that was in the position shown in Figure 4 is indicated by a dashed line.

[0129] The deterioration evaluation unit 43 calculates the change in the depth of the sheave groove 24 due to wear using a deterioration model. Wear of the sheave groove 24 progresses in accordance with the surface pressure exerted by the main rope 7 applied to the sheave groove 24. The surface pressure exerted by the main rope 7 changes depending on the tension applied to the main rope 7. The deterioration model is a model that evaluates the amount of change in the depth of the sheave groove 24 according to the surface pressure and the number of starts using a preset function or table, for example. The deterioration evaluation unit 43 calculates the amount of wear of the sheave groove 24 over which the main rope 7 is applied at each time interval corresponding to the number of starts, according to the tension applied to the main rope 7. If the information of the operation scenario includes the occupancy rate of the car 8, the tension applied to the main rope 7 may be set according to the occupancy rate.

[0130] Figure 15 illustrates another example of a change over time that is evaluated by the design support device 26 according to Embodiment 2.

[0131] In this example, the deterioration evaluation unit 43 calculates the change in depth over time of the sheave groove 24 in which the undercut 25 is provided. Figure 15 shows an example of a worn drive sheave 13, with the drive sheave 13 in Figure 5 being the initial state. In Figure 15, the main rope 7 that was in the position in Figure 5 is shown by a dashed line.

[0132] The deterioration evaluation unit 43 calculates the change in the depth of the sheave groove 24 due to wear using a deterioration model. The deterioration evaluation unit 43 may calculate the change in depth in the same way as when there is no undercut 25, or it may calculate the change in depth considering changes in surface pressure due to wear of the edge of the undercut 25.

[0133] Figures 16A and 16B illustrate other examples of changes over time that are evaluated by the design support device 26 according to Embodiment 2.

[0134] In this example, the deterioration evaluation unit 43 calculates the changes over time in the basic parameters of the main rope 7. The main rope 7 wears down due to repeated contact with the drive sheave 13 during the continuous operation of the elevator 1. Due to wear, the cross-sectional area of ​​the main rope 7 changes over time to become smaller. In addition, the stiffness of the main rope 7 also changes over time due to elongation or other causes during the continuous operation of the elevator 1. Therefore, the deterioration evaluation unit 43 calculates the changes over time in the Young's modulus and cross-sectional area of ​​the main rope 7.

[0135] A degradation model is a model that evaluates the amount of change in the Young's modulus and cross-sectional area of ​​the main rope 7 according to the number of starts, for example, using a pre-set function or table. Figure 16 shows an example of the change in the main rope 7 over time according to the degradation model. The horizontal axis in Figure 16 represents the number of starts of the elevator 1. The vertical axis in Figure 16A represents the Young's modulus of the main rope 7. The vertical axis in Figure 16B represents the cross-sectional area of ​​the main rope 7.

[0136] The deterioration evaluation unit 43 calculates the amount of variation in the Young's modulus and cross-sectional area of ​​the main rope 7, for each period from the start of operation of the elevator 1, corresponding to the number of starts assumed based on the operation scenario, using, for example, a predetermined deterioration model.

[0137] As described above, the design support device 26 according to Embodiment 2 includes a deterioration evaluation unit 43. The deterioration evaluation unit 43 calculates the change over time of the basic parameters of the basic equipment based on a deterioration model that represents the change over time of the basic equipment associated with the operation of the elevator 1. The acquisition unit 29 acquires information on the operation scenario representing the operation of the elevator 1 as information representing the fluctuation factors, which are the characteristics of the error from the standard value of the basic parameters. The operation scenario is information that is the factor of change over time, with the standard value as the initial value. The calculation unit 30 calculates the change over time of the composite parameters as a variation in the error from the standard value of the composite parameters, when the basic parameters of the basic equipment included in the composite system change according to the change over time calculated by the deterioration evaluation unit 43 in accordance with the operation of the operation scenario. The evaluation unit 31 calculates the change in the evaluation value using the composite parameters that have changed from the initial value due to the change over time calculated by the calculation unit 30 as composite parameters based on the error variation calculated by the calculation unit 30.

[0138] With this configuration, the time-dependent changes in composite parameters in the overall system, such as elevator 1, are automatically calculated based on the time-dependent changes in the basic parameters of the basic equipment. Furthermore, the fluctuations in the evaluation values ​​of the composite model are calculated based on the time-dependent changes in the composite parameters. This makes it possible to design elevators that take into account the time-dependent changes that can occur in real elevators. Even when elevator 1 is operated continuously, the evaluation values ​​such as the vibration of car 8 can be designed to meet the standards, thus enabling the design of a more reliable elevator 1.

[0139] Furthermore, the operational scenario may include maintenance information for elevator 1. This allows for a long-term evaluation of elevator 1, taking maintenance work into account. As a result, a more realistic design for elevator 1 becomes possible.

[0140] The design support device 26 may consider both tolerance range variations and changes over time such as degradation as errors from the standard values ​​of the model parameters. In this case, the degradation evaluation unit 43 may calculate the changes over time of the basic parameters by considering tolerance range variations. The calculation unit 30 calculates multiple basic parameters, for example, by adding tolerance range variations to the nominal values. The calculation unit 30 calculates the changes over time of the model parameters for both an operation scenario where the nominal values ​​of the basic parameters are the initial values, and an operation scenario where the basic parameters with tolerance range variations added to the nominal values ​​are the initial values. The evaluation unit 31 also evaluates such operation scenarios that consider tolerance range variations. As a result, the design support device 26 can reflect tolerance range variations in the changes over time themselves.

[0141] Alternatively, the design support device 26 does not need to evaluate the cumulative tolerance of basic parameters as a variation in the tolerance range. In this case, the design support device 26 may consider only the variation due to changes over time from the initial value as the error of the model parameters from the standard value.

[0142] Embodiment 3. In Embodiment 3, the differences from the examples disclosed in Embodiment 1 or Embodiment 2 will be described in particular detail. For features not described in Embodiment 3, any of the features from the examples disclosed in Embodiment 1 or Embodiment 2 may be adopted.

[0143] Figure 17 is a configuration diagram of the design support device 26 according to Embodiment 3.

[0144] Disturbances may occur in the behavior of elevator 1. The equation of motion considering the disturbance can be expressed as equation (11), for example, by adding a disturbance term due to the disturbance d and coefficient G to the equation of motion in equation (1).

[0145]

number

[0146] The evaluation unit 31 calculates evaluation values ​​without considering disturbances and evaluation values ​​with the disturbance term of equation (11) added when analyzing and evaluating the behavior of elevator 1. The disturbance term is calculated based on a preset disturbance model. The disturbance d includes, for example, mechanical actions from outside elevator 1, such as the shaking of the top of the hoistway 2 due to strong winds or seismic motion. The disturbance d may also include the effects of electrical actions, such as noise from an encoder or other sensor noise provided on the hoisting machine 6. The disturbance d may also include effects due to deformation of the basic equipment of elevator 1, such as uneven wear of the drive sheave 13 or bending of the guide rail 4. The coefficient G is preset according to the type of disturbance d.

[0147] The calculation unit 30 includes a disturbance model setting unit 46. The disturbance model setting unit 46 is the part that sets the disturbance model. The disturbance model setting unit 46 sets the disturbance model based on modeling conditions set by the modeling condition setting unit 38. The modeling conditions include, for example, information such as the type and strength of disturbances to be considered. The modeling conditions for the disturbance model are set based on, for example, input information acquired by the acquisition unit 29 from the terminal device 37.

[0148] In the design support device 26, the model storage unit 32 of the storage unit 28 includes a disturbance model storage unit 47. The disturbance model storage unit 47 is the part that stores information about the disturbance model. In addition, the parameter storage unit 33 of the storage unit 28 includes a disturbance parameter storage unit 48. The disturbance model storage unit 47 is the part that stores disturbance parameters that describe the disturbance model.

[0149] The evaluation unit 31 calculates both an evaluation value without considering disturbances and an evaluation value with disturbances considered for the behavior of a composite system, such as part or all of elevator 1. For example, the evaluation unit 31 may determine whether the evaluation value conforms to the standard by determining whether the evaluation value falls within the acceptable range in the standard, regardless of whether disturbances are considered, for disturbances that may occur during normal operation, such as noise or deformation of basic equipment. For example, the evaluation unit 31 may determine whether the evaluation value conforms to the standard by determining whether the evaluation value with disturbances considered falls within the acceptable range in the standard for disaster situations, for disturbances that may occur during disasters such as earthquakes.

[0150] Figure 18 illustrates an example of a disturbance model in the design support device 26 according to Embodiment 3.

[0151] In this example, the disturbance model represents the swaying of the top of the elevator shaft 2 due to strong winds or seismic motion. In the disturbance model, the swaying of the top of the elevator shaft 2 is represented, for example, by time-series data representing vibration waveforms. Examples of disturbance parameters include time-series data representing vibration waveforms, or parameters that reproduce that time-series data. The disturbance model is, for example, a model that adds vibration corresponding to the swaying of the top of the elevator shaft 2 as a disturbance to the hoisting machine 6 installed in the machine room 5. In this case, the evaluation unit 31 calculates, for example, the amplitude of the transverse vibration perpendicular to the longitudinal direction of the main rope 7 as an evaluation value. The evaluation unit 31 determines, for example, that the evaluation value considering disturbances does not conform to the standards for disaster situations when the amplitude of the transverse vibration of the main rope 7 exceeds a threshold value that is set in advance as an amplitude that can interfere with equipment in the elevator shaft 2. The evaluation unit 31 may perform a similar evaluation for the compensating rope 10 or the traveling cable 23, etc.

[0152] Figure 19 illustrates another example of a disturbance model in the design support device 26 according to Embodiment 3.

[0153] In this example, the disturbance model represents the effect of errors in the drive sheave 13's circular shape due to uneven wear or other reasons. In Figure 19, a circular shape superimposed on the drive sheave 13 is shown by a dashed line. When the drive sheave 13 deviates from a circular shape due to uneven wear or other reasons, the main rope 7 wrapped around the drive sheave 13 is excited by the rotation of the drive sheave 13. The excitation waveform at this time is represented by the rotational speed of the drive sheave 13 and the degree of error of the drive sheave 13 from a circular shape. The degree of error from a circular shape is represented, for example, by the magnitude of each order component when the radius change in the circumferential direction of the drive sheave 13 is expressed as a Fourier series. The degree of error from a circular shape is an example of a disturbance parameter. The degree of error from a circular shape may be a second-order or higher-order component of the Fourier series, or it may include a first-order component of the Fourier series. Here, the first-order component of the Fourier series represents the eccentricity of the drive sheave 13. The degree of error from a perfect circle may be represented, for example, by the degree of roundness, which is the difference between the maximum and minimum values ​​of the radius that changes in the circumferential direction of the drive sheave 13. The disturbance model is, for example, a model that adds an excitation waveform caused by the drive sheave 13, which deviates from a perfect circle, as a disturbance to the main rope 7 wrapped around the drive sheave 13. In this case, the evaluation unit 31 calculates, for example, the amplitude of the vertical vibration of the car 8 or counterweight 9 connected to the main rope 7 as an evaluation value. The evaluation unit 31 determines, for example, that the evaluation value does not conform to the standard when the amplitude of the vertical vibration of the car 8 exceeds a threshold value that has been set in advance as an amplitude that can affect the ride comfort of the user.

[0154] Figure 20 illustrates another example of a disturbance model in the design support device 26 according to Embodiment 3.

[0155] In this example, the disturbance model represents the effect of bending of the guide rail 4. The guide rail 4 may bend and deviate from a straight line due to errors during manufacturing or installation. In addition, steps or kinks may occur at the joints between adjacent rail members in the multiple rail members that make up the guide rail 4. When the guide rail 4 is deviated from a straight line in this way, the car 8 or counterweight 9 traveling along the guide rail 4 is excited by the guide rail 4 through the guide device 19. The excitation waveform at this time is represented by the traveling speed of the car 8 or counterweight 9 and the degree of deviation of the guide rail 4 from a straight line. The degree of deviation from a straight line can be represented, for example, by the magnitude of the frequency components obtained by Fourier transforming the change in the horizontal displacement of the guide rail 4 in the vertical direction. The degree of deviation from a straight line is an example of a disturbance parameter. The degree of deviation from a straight line may also be, for example, the difference between the maximum and minimum values ​​of the horizontal displacement of the guide rail 4 that changes in the vertical direction. The disturbance model is, for example, a model that adds an excitation waveform caused by a guide rail 4 that deviates from a straight line as a disturbance to a car 8 traveling along a guide rail 4. In this case, the evaluation unit 31 calculates, for example, the amplitude of the lateral vibration of the car 8 in the left-right or front-rear direction as an evaluation value. The evaluation unit 31 determines, for example, that the evaluation value does not conform to the standard when the amplitude of the lateral vibration of the car 8 exceeds a threshold value that is set in advance as an amplitude that can affect the ride comfort of the user.

[0156] As described above, in the design support device 26 according to Embodiment 3, the evaluation unit 31 adds a disturbance model, which is a model that simulates disturbances to some or all of the basic equipment included in the composite system, to the composite model and evaluates the evaluation value of the behavior of the composite system. With this configuration, an evaluation value of the behavior of the elevator 1 when disturbances are applied is calculated, making it possible to design a more robust elevator 1.

[0157] To summarize the above explanation, the possible configurations of the technology relating to this disclosure include the configurations listed below as appendices. (Note 1) An acquisition unit acquires information on the characteristics of multiple basic models, each corresponding to one of the multiple basic components that make up an elevator, and which simulates the behavior of the corresponding basic component, including the range of error from the standard value of the basic parameters describing each of the multiple basic models, or including the factors causing the variation. A calculation unit calculates the range or variation of the error of the composite parameters describing the composite model from the standard value, using information on the error characteristics of the first parameter, which is a basic parameter describing the basic model of the first device, and information on the error characteristics of the second parameter, which is a basic parameter describing the basic model of the second device, acquired by the acquisition unit. Regarding the evaluation value of the behavior of the composite system when the elevator is in operation, an evaluation unit calculates the change in the evaluation value of the composite model described by the composite parameters described by the composite parameters, based on the range of errors calculated by the calculation unit or the variation, from the evaluation value of the composite model described by the standard values ​​of the composite parameters. A design support device equipped with the following features. (Note 2) The acquisition unit acquires tolerance information, where the standard value of the basic parameter is the nominal value, as information representing the range of the error characteristics from the standard value of the basic parameter. The calculation unit calculates a range of values ​​that the composite parameter can take when the basic parameters of the basic equipment included in the composite system change within the tolerance range, as the range of error from the standard value of the composite parameter. The evaluation unit calculates the change in the evaluation value using the composite parameter, which is not a standard value within the range calculated by the calculation unit, as the composite parameter based on the error range calculated by the calculation unit. The design support device described in Appendix 1. (Note 3) The evaluation unit uses a plurality of composite parameters that are not standard values ​​within the range calculated by the calculation unit to calculate an evaluation value that, among the evaluation values ​​of the composite model described by the plurality of composite parameters that are not standard values, shows the maximum change from the evaluation value of the composite model described by the composite parameters that are standard values. The design support device described in Appendix 2. (Note 4) The evaluation unit generates and uses multiple composite parameters that are not standard values ​​within the range calculated by the calculation unit, using random or pseudo-random numbers. The design support device described in Appendix 3. (Note 5) The calculation unit calculates a range of possible values ​​for the composite parameter using the value obtained by multiplying the sensitivity coefficient of the basic parameter with respect to the composite parameter by the tolerance of the basic parameter. A design support device described in any one of the appendices 2 through 4. (Note 6) A deterioration evaluation unit calculates the change over time of the basic parameters of the basic model corresponding to at least one of the plurality of basic equipment based on a deterioration model that represents the change over time of the basic equipment due to the operation of the elevator. Equipped with, The acquisition unit acquires information representing the operating scenario of the elevator, which is the cause of changes over time, with the standard value as the initial value, as information representing the fluctuation factors, which are the characteristics of the error from the standard value of the basic parameters. The calculation unit calculates the change over time of the composite parameter as a variation in the error from the standard value of the composite parameter, when the basic parameters of the basic equipment included in the composite system among the plurality of basic equipment change according to the change over time calculated by the degradation evaluation unit in accordance with the operation of the operation scenario acquired by the acquisition unit. The evaluation unit calculates the change in the evaluation value using the composite parameter, which has changed from its initial value due to the change over time calculated by the calculation unit, as the composite parameter based on the error fluctuation calculated by the calculation unit. A design support device described in any one of the appendices 1 through 5. (Note 7) The aforementioned operational scenario includes information on the maintenance of the elevator, The design support device described in Appendix 6. (Note 8) The evaluation unit adds a disturbance model, which is a model that simulates disturbances to at least one of the basic devices included in the composite system among the plurality of basic devices, to the composite model and evaluates the evaluation value of the behavior of the composite system. A design support device described in any one of the appendices 1 through 7. (Note 9) The basic parameters of the basic model represent at least one of the hardness, inertia, rigidity, and dimensions of the basic equipment to which the basic model corresponds. The composite parameters of the composite model represent at least one of the hardness, inertia, rigidity, and dimensions of the composite system. A design support device described in any one of the appendices 1 through 8. (Note 10) Computers Regarding multiple basic models, each corresponding to one of the multiple basic components that make up an elevator, and simulating the behavior of the corresponding basic component, information on the characteristics including the range of error from the standard value of the basic parameters describing each of the multiple basic models, and the factors causing the variation, is obtained. With respect to a composite model which simulates the behavior of a composite system including at least a first device and a second device that move in contact with each other among the plurality of basic devices, the range or variation of the error of the composite parameter describing the composite model from the standard value is calculated using information on the error characteristics of the first parameter, which is a basic parameter describing the basic model of the first device, and information on the error characteristics of the second parameter, which is a basic parameter describing the basic model of the second device. Regarding the evaluation value of the behavior of the composite system when the elevator is in operation, the change in the evaluation value of the composite model described by the composite parameters, based on the error range or variation calculated using the error characteristics of the first parameter and the error characteristics of the second parameter, from the evaluation value of the composite model described by the standard values ​​of the composite parameters, is calculated. A design support method for executing this. (Note 11) On the computer, Regarding multiple basic models, each corresponding to one of the multiple basic components that make up an elevator, and simulating the behavior of the corresponding basic component, information on the characteristics including the range of error from the standard value of the basic parameters describing each of the multiple basic models, and the factors causing the variation, is obtained. With respect to a composite model which simulates the behavior of a composite system including at least a first device and a second device that move in contact with each other among the plurality of basic devices, the range or variation of the error of the composite parameter describing the composite model from the standard value is calculated using information on the error characteristics of the first parameter, which is a basic parameter describing the basic model of the first device, and information on the error characteristics of the second parameter, which is a basic parameter describing the basic model of the second device. Regarding the evaluation value of the behavior of the composite system when the elevator is in operation, the change in the evaluation value of the composite model described by the composite parameters, based on the error range or variation calculated using the error characteristics of the first parameter and the error characteristics of the second parameter, from the evaluation value of the composite model described by the standard values ​​of the composite parameters, is calculated. A design support program that enables the execution of [the task]. [Explanation of symbols]

[0158] 1 Elevator, 2 Hoistway, 3 Pit, 4 Guide rail, 5 Machine room, 6 Hoisting machine, 7 Main rope, 8 Cage, 9 Counterweight, 10 Compensation rope, 11 Control device, 12 Drive motor, 13 Drive sheave, 14 Curving wheel, 15 Cage room, 16 Cage frame, 17 Shackle, 18 Vibration damping rubber, 19 Guide device, 20 Weight, 21 Weight frame, 22 Tension wheel, 23 Traveling cable, 24 Sheave groove, 25 Undercut, 26 Design support device, 27 Communication network, 28 Memory unit, 29 Acquisition unit, 30 Calculation unit, 31 Evaluation unit, 32 Model memory unit, 33 Parameter memory unit, 34 Basic model memory unit, 35 36 Basic parameter storage unit, 37 Tolerance storage unit, 38 Terminal device, 39 Modeling condition setting unit, 40 Basic model setting unit, 41 Assembly model setting unit, 42 Cumulative tolerance setting unit, 43 Degradation evaluation unit, 44 Degradation model storage unit, 45 Degradation parameter storage unit, 46 Disturbance model setting unit, 47 Disturbance model storage unit, 48 Disturbance parameter storage unit, 100a Processor, 100b Memory, 200 Dedicated hardware

Claims

1. An acquisition unit acquires information on the characteristics of multiple basic models, each corresponding to one of the multiple basic components that make up an elevator, and which simulates the behavior of the corresponding basic component, including the range of error from the standard value of the basic parameters describing each of the multiple basic models, or including the factors causing the variation. A calculation unit calculates the range of errors or variations from the standard values ​​of the composite parameters describing the composite model, using information on the error characteristics of the first parameter, which is a basic parameter describing the basic model of the first device, and information on the error characteristics of the second parameter, which is a basic parameter describing the basic model of the second device, acquired by the acquisition unit. Regarding the evaluation value of the behavior of the composite system when the elevator is in operation, an evaluation unit calculates the change in the evaluation value of the composite model described by the composite parameters described by the composite parameters, based on the range of errors calculated by the calculation unit or the variation, from the evaluation value of the composite model described by the standard values ​​of the composite parameters. A design support device equipped with the following features.

2. The acquisition unit acquires tolerance information, where the standard value of the basic parameter is the nominal value, as information representing the range of the error characteristics from the standard value of the basic parameter. The calculation unit calculates a range of values ​​that the composite parameter can take when the basic parameters of the basic equipment included in the composite system change within the tolerance range, as the range of error from the standard value of the composite parameter. The evaluation unit calculates the change in the evaluation value using the composite parameter, which is not a standard value within the range calculated by the calculation unit, as the composite parameter based on the error range calculated by the calculation unit. The design support device according to claim 1.

3. The evaluation unit uses a plurality of composite parameters that are not standard values ​​within the range calculated by the calculation unit to calculate an evaluation value that, among the evaluation values ​​of the composite model described by the plurality of composite parameters that are not standard values, shows the maximum change from the evaluation value of the composite model described by the composite parameters that are standard values. The design support device according to claim 2.

4. The evaluation unit generates and uses multiple composite parameters that are not standard values ​​within the range calculated by the calculation unit, using random or pseudo-random numbers. The design support device according to claim 3.

5. The calculation unit calculates a range of possible values ​​for the composite parameter using the value obtained by multiplying the sensitivity coefficient of the basic parameter with respect to the composite parameter by the tolerance of the basic parameter. The design support device according to claim 2.

6. A deterioration evaluation unit calculates the change over time of the basic parameters of the basic model corresponding to at least one of the plurality of basic equipment based on a deterioration model that represents the change over time of the basic equipment due to the operation of the elevator. Equipped with, The acquisition unit acquires information representing the operating scenario of the elevator, which is the cause of changes over time, with the standard value as the initial value, as information representing the fluctuation factors, which are the characteristics of the error from the standard value of the basic parameters. The calculation unit calculates the change over time of the composite parameter as a variation in the error from the standard value of the composite parameter, when the basic parameters of the basic equipment included in the composite system among the plurality of basic equipment change according to the change over time calculated by the degradation evaluation unit in accordance with the operation of the operation scenario acquired by the acquisition unit. The evaluation unit calculates the change in the evaluation value using the composite parameter, which has changed from its initial value due to the change over time calculated by the calculation unit, as the composite parameter based on the error fluctuation calculated by the calculation unit. A design support device according to any one of claims 1 to 5.

7. The aforementioned operational scenario includes information on the maintenance of the elevator, The design support device according to claim 6.

8. The evaluation unit adds a disturbance model, which is a model that simulates disturbances to at least one of the basic devices included in the composite system among the plurality of basic devices, to the composite model and evaluates the evaluation value of the behavior of the composite system. A design support device according to any one of claims 1 to 5.

9. The basic parameters of the basic model represent at least one of the hardness, inertia, rigidity, and dimensions of the basic equipment to which the basic model corresponds. The composite parameters of the composite model represent at least one of the hardness, inertia, rigidity, and dimensions of the composite system. A design support device according to any one of claims 1 to 5.

10. Computers Regarding multiple basic models, each corresponding to one of the multiple basic components that make up an elevator, and simulating the behavior of the corresponding basic component, information on the characteristics including the range of error from the standard value of the basic parameters describing each of the multiple basic models, and the factors causing the variation, is obtained. With respect to a composite model which simulates the behavior of a composite system including at least a first device and a second device that move in contact with each other among the plurality of basic devices, the range or variation of the error of the composite parameter describing the composite model from the standard value is calculated using information on the error characteristics of the first parameter, which is a basic parameter describing the basic model of the first device, and information on the error characteristics of the second parameter, which is a basic parameter describing the basic model of the second device. Regarding the evaluation value of the behavior of the composite system when the elevator is in operation, the change in the evaluation value of the composite model described by the composite parameters, based on the error range or variation calculated using the error characteristics of the first parameter and the error characteristics of the second parameter, from the evaluation value of the composite model described by the standard values ​​of the composite parameters, is calculated. A design support method for executing this.

11. On the computer, Regarding multiple basic models, each corresponding to one of the multiple basic components that make up an elevator, and simulating the behavior of the corresponding basic component, information on the characteristics including the range of error from the standard value of the basic parameters describing each of the multiple basic models, and the factors causing the variation, is obtained. With respect to a composite model which simulates the behavior of a composite system including at least a first device and a second device that move in contact with each other among the plurality of basic devices, the range or variation of the error of the composite parameter describing the composite model from the standard value is calculated using information on the error characteristics of the first parameter, which is a basic parameter describing the basic model of the first device, and information on the error characteristics of the second parameter, which is a basic parameter describing the basic model of the second device. Regarding the evaluation value of the behavior of the composite system when the elevator is in operation, the change in the evaluation value of the composite model described by the composite parameters, based on the error range or variation calculated using the error characteristics of the first parameter and the error characteristics of the second parameter, from the evaluation value of the composite model described by the standard values ​​of the composite parameters, is calculated. A design support program that enables the execution of [the task].

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