Elevator abnormality detection device

Abstract

Provided is an elevator abnormality detection device capable of more reliably detecting abnormalities. The elevator abnormality detection device comprises: a current detection unit that detects current flowing through an elevator hoisting machine; a rotation detection unit that detects the state of a rotating body, which is a transmission mechanism for transmitting the drive torque of the elevator car; an estimation unit that estimates the non-inertia torque of the rotating body, which is the subject of abnormality determination, based on detection results of the current detection unit and the rotation detection unit; and a determination unit that determines an abnormality in the elevator based on the non-inertia torque estimated by the estimation unit.

Description

Technical Field

[0001] The present invention relates to an abnormality detection device for an elevator, and more particularly to an abnormality detection device for an elevator for detecting an abnormality of a rotating body as a transmission mechanism that transmits a driving torque required for traveling an elevator car. Background Art

[0002] Patent Document 1 discloses an abnormality detection device for an elevator. This abnormality detection device can determine abnormality in an elevator.

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Laid-Open No. 2016-222420 Summary of the Invention

[0006] Problems to be solved by the invention

[0007] However, the abnormality detection device described in Patent Document 1 determines an abnormality in the elevator structure when the absolute value of the current deviation of the hoisting machine exceeds a preset threshold value a predetermined number of times. Therefore, it is difficult to detect an abnormality when the hoisting machine is running at a constant speed, making it difficult for the current deviation to increase.

[0008] The present invention has been made to solve the above-mentioned problems, and an object of the present invention is to provide an abnormality detection device for an elevator that can detect abnormalities more reliably.

[0009] Means for solving problems

[0010] The abnormality detection device of the elevator of the present invention comprises: a current detection unit, which detects the current flowing through the traction machine of the elevator; a rotation detection unit, which detects the state of the rotating body as a transmission mechanism unit, which is used to transmit the driving torque of the elevator car; an estimation unit, which estimates the non-inertia torque of the rotating body based on the detection result of the current detection unit and the angular acceleration information of the rotation detection unit; and a judgment unit, which judges the abnormality of the elevator based on the increase of the non-inertia torque estimated by the estimation unit.

[0011] Effects of the Invention

[0012] According to the present invention, the abnormality detection device for an elevator detects abnormalities of a rotating body based on the inertia torque, thereby being able to accurately determine abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a configuration diagram of an elevator system to which the abnormality detection device for an elevator in the first embodiment is applied.

[0014] Figure 2 This is a block diagram for explaining a control system of a hoisting machine of an elevator system to which the abnormality detection device for an elevator in the first embodiment is applied.

[0015] Figure 3 This is a diagram showing time series data of the angular acceleration and driving torque of the hoisting machine of the elevator system to which the abnormality detection device for the elevator in the first embodiment is applied.

[0016] Figure 4 This is a diagram showing time-series data of a current command, current, and current deviation of a hoisting machine of an elevator system to which the abnormality detection device for an elevator in accordance with the first embodiment is applied.

[0017] Figure 5 This is a hardware configuration diagram of the elevator control device in the first embodiment.

[0018] Figure 6 This is a configuration diagram of an elevator system to which the abnormality detection device for an elevator in the second embodiment is applied.

[0019] Figure 7 This is a configuration diagram of an elevator system to which the abnormality detection device for an elevator in accordance with the third embodiment is applied. DETAILED DESCRIPTION

[0020] The embodiments will be described with reference to the accompanying drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals, and the repeated description of the parts will be simplified or omitted as appropriate.

[0021] Implementation method 1.

[0022] Figure 1 1 is a structural diagram of an elevator system to which the abnormality detection device for an elevator in Embodiment 1 is applied. Figure 1 In FIG. 1 , a plurality of × marks indicate abnormal locations that may cause an increase in the driving torque required to move the elevator car.

[0023] Figure 1 The elevator system uses a 1:1 rope winding method. Figure 1 In the embodiment, a shaft 1 passes through each floor of a building (not shown). A machine room 2 is provided just above the shaft 1.

[0024] The hoisting machine 4 is installed in the machine room 2. The deflector pulley 5 is installed in the machine room 2. The main rope 6 is hung around the hoisting machine 4 and the deflector pulley 5. Therefore, the main rope 6 is linked to the operation of each of the hoisting machine 4 and the deflector pulley 5.

[0025] The car 7 is installed inside the hoistway 1. The car 7 is suspended on one side of the main rope 6. The counterweight 8 is installed inside the hoistway 1. The counterweight 8 is suspended on the other side of the main rope 6. Therefore, the car 7 and the counterweight 8 are respectively linked to the movement of the main rope 6.

[0026] A plurality of car-side guide rollers 9 are provided on the car 7. These guide rollers are guided by guide members (not shown) on the car 7. A plurality of counterweight-side guide rollers 10 are provided on the counterweight 8. These guide rollers 10 are guided by guide members (not shown). Therefore, the car-side guide rollers 9 and the counterweight-side guide rollers 10 are linked to the movement of the car 7 and the counterweight 8, respectively.

[0027] The tensioning wheel 11 is provided at the bottom of the hoistway 1. The compensating rope 12 is connected to the car 7 and the counterweight 8 while being wound around the tensioning wheel 11. Therefore, the action of the compensating rope 12 and the tensioning wheel 11 is linked.

[0028] The speed governor 13 includes a first pulley 13a, a second pulley 13b, and a speed governor rope 13c. The first pulley 13a is located in the machine room 2. The second pulley 13b is located at the bottom of the hoistway 1. The speed governor rope 13c is looped around the first pulley 13a and the second pulley 13b. Therefore, the speed governor rope 13c is linked to the movement of the first pulley 13a and the second pulley 13b.

[0029] The current detecting unit 14 is provided in a driving unit (not shown) of the hoisting machine 4. The current detecting unit 14 detects the current flowing through the hoisting machine 4. The plurality of rotation detecting units 15 are respectively provided in the plurality of rotating bodies. The plurality of rotating bodies rotate in conjunction with the movement of the main rope 6, the compensating rope 12, and the speed limiter rope 13c that move with the travel of the elevator car. The plurality of rotating bodies function as a transmission mechanism portion for transmitting the driving torque required for the elevator car to travel. Specifically, the rotating body refers to any component of the hoisting machine 4, the deflector pulley 5, the car-side guide roller 9, the counterweight-side guide roller 10, the tensioning pulley 11, the first pulley 13a, and the second pulley 13b. The plurality of rotation detecting units 15 respectively detect the status of the plurality of rotating bodies.

[0030] For example, the rotation detection unit 15 detects the angular acceleration of the hoisting machine 4 and the speed limiter 13 as the state of the rotating body. For example, the rotation detection unit 15 detects the angle or angular velocity of the rotating body as the state of the rotating body. In the case where the rotation detection unit 15 detects the angle of the rotating body, the angular velocity is derived by calculating the angular change of the rotating body per unit time in the external structure of the rotation detection unit 15. By further performing calculations, the angular acceleration of the rotating body can be obtained. In the case where the rotation detection unit 15 detects the angular velocity of the rotating body, the angular velocity of the rotating body per unit time is calculated outside the rotation detection unit 15. As a result, the angular acceleration of the rotating body can be obtained based on the angular velocity of the rotating body per unit time.

[0031] Alternatively, an acceleration sensor attached to the car 7 or the counterweight 8 may be used as the rotation detection unit 15. In this case, the angular acceleration of the hoisting machine 4 is obtained by converting the output of the acceleration sensor, that is, the acceleration information.

[0032] The control device 16 includes a torque calculation unit 16 a , an angular acceleration calculation unit 16 b , an estimation unit 16 c , and a determination unit 16 d as an abnormality detection device.

[0033] The torque calculation unit 16a calculates the drive torque t of the hoisting machine 4 based on information from the current detection unit 14. The angular acceleration calculation unit 16b calculates the angular acceleration of at least one rotating body, which is the subject of abnormality determination, based on information from the rotation detection unit 15 provided on the rotating body. The estimation unit 16c estimates the non-inertia torque of the rotating body based on information from the torque calculation unit 16a and the angular acceleration calculation unit 16b. The determination unit 16d determines an abnormality in the at least one rotating body, which is the subject of abnormality determination, based on the non-inertia torque estimated by the estimation unit 16c.

[0034] For example, the determination unit 16d continuously evaluates the non-inertia torque of each interval based on the product of the driving torque t of the hoisting machine 4, the inertia I of the entire elevator system and the angular acceleration α using the following formula (1). The inertia I also includes the weight of the car 7. Therefore, the inertia I is accurately represented by identifying the weight of the car 7 using the values ​​of a weighing device, a sensor at the end of the main rope 6, etc. In addition, the inertia I can also be a predetermined fixed value. In addition, the inertia I can also be determined by identification using time series data as disclosed in International Publication No. 2016 / 113769. In addition, Iα is 0 at a constant speed without acceleration. The driving torque t at a constant speed is the same as the non-inertia torque. Therefore, it is also possible to use only the driving torque at a constant speed for evaluation.

[0035] Non-inertia torque = t-Iα (1)

[0036] The determination unit 16d determines that the rotating body is abnormal when the non-inertia torque exceeds a preset threshold. This threshold is set by taking into account the variation in the non-inertia torque. For example, the standard deviation is used, with the deviation set to ±3σ. For example, the upper and lower limits of this deviation are determined by taking into account the temperature characteristics of the current detection unit 14 of the hoisting machine 4 and variations caused by friction in the hoisting machine 4.

[0037] Next, use Figure 2 The control system of the hoisting machine 4 will be described.

[0038] Figure 2 This is a block diagram for explaining a control system of a hoisting machine of an elevator system to which the abnormality detection device for an elevator in the first embodiment is applied.

[0039] like Figure 2 As shown, the control device 16 includes an angular velocity pattern generating unit 16e, an angular velocity control unit 16f, and a current control unit 16g.

[0040] The angular velocity pattern generator 16e generates an angular velocity command for the hoisting machine 4. The angular velocity control unit 16f generates a current command based on the deviation between the angular velocity command value from the angular velocity pattern generator 16e and the angular velocity measured value from the rotation detector 15. The current control unit 16g controls the current flowing through the hoisting machine 4 based on the deviation between the current command value from the angular velocity controller 16f and the current measured value from the current detector 14.

[0041] Next, use Figure 3 and Figure 4 The anomaly detection method is described.

[0042] Figure 3 This is a diagram showing time series data of the angular acceleration and driving torque of the hoisting machine of the elevator system to which the abnormality detection device for the elevator in the first embodiment is applied. Figure 4 This is a diagram showing time-series data of a current command, current, and current deviation of a hoisting machine of an elevator system to which the abnormality detection device for an elevator in accordance with the first embodiment is applied.

[0043] Figure 3 The relationship between the angular acceleration and the driving torque is shown when the hoisting machine 4 starts accelerating, reaches a constant speed, and then fails to operate smoothly in the middle of the constant speed.

[0044] like Figure 3 As shown in FIG, it is difficult to distinguish between the driving torque at the start of acceleration and the driving torque at an abnormality. Therefore, a simple determination based on a driving torque threshold is not suitable for abnormality detection.

[0045] like Figure 4 As shown, in the early stages of an abnormality, the deviation between the current command and the current detected by the current detection unit 14 becomes larger. Therefore, in the early stages of an abnormality, this deviation can be used to detect the abnormality. In contrast, in the event of an abnormality where the current becomes constant due to friction, etc., or in a state where the response to the current command is high, this deviation becomes smaller. Therefore, in the event of an abnormality where the current becomes constant due to friction, etc., or in a state where the response to the current command is high, this deviation is not suitable for abnormality detection. In addition, the current here is proportional to the driving torque. This current is the same as the torque current.

[0046] In contrast, the control device 16 determines an abnormality based on the non-inertia torque, thereby suppressing erroneous detection of an abnormality.

[0047] According to the first embodiment described above, the control device 16 determines an abnormality of a rotating body such as the hoisting machine 4 based on the inertia torque. Therefore, an abnormality of a rotating body such as the hoisting machine 4 can be accurately determined.

[0048] Furthermore, the abnormality of the rotating body includes a malfunction of the rotating body itself and an abnormality of a rope in contact with the rotating body.

[0049] Furthermore, the control device 16 can accurately determine an abnormality in a rotating body such as the hoisting machine 4 based on a threshold value that takes into account a deviation in the non-inertia torque.

[0050] Next, a method for achieving more optimal abnormality detection will be described as a modification.

[0051] In order to achieve a more advanced abnormality detection, equation (2) is used instead of equation (1) as the equation for deriving the non-inertia torque.

[0052] Non-inertia torque = t-Iα-(M c -M w )g×D / 2-(M lc (z)-M lw (z))g×D / 2-M tc (z)g×D / 2 (2)

[0054] In equation (2), t is the driving torque of the traction machine 4. I is the inertia of the entire elevator system. α is the angular acceleration of the traction machine 4. M c is the mass of the car 7. M w is the mass of the counterweight 8. D is the rotation diameter of the traction machine 4. M lc (z) is the mass of the main rope on the car 7 side that changes according to the car position z. lw (z) is the mass of the main rope on the counterweight 8 side that changes according to the car position z. tc (z) is the mass applied to the car 7, of the mass of the control cable that changes according to the car position z. g is the acceleration due to gravity.

[0055] In addition, in order to take into account the forces generated by the car 7, counterweight 8, etc. by balancing the torque in the hoisting machine 4, half of the rotation diameter D of the hoisting machine 4 is used as a coefficient. Specifically, each mass is multiplied by D / 2.

[0056] (M c -M w)g is caused by the difference in mass between the car 7 and the counterweight 8. The mass of the car 7 increases or decreases due to the passengers. In contrast, the mass of the counterweight 8 does not change. Therefore, by obtaining the mass of the car 7 from the value of a weighing device (not shown) or a sensor at the end of the main rope 6, (M) can be accurately identified. c -M w )g.

[0057] In addition, regarding (M lc (z)~M lw (z) indicates that the weight of the main ropes 6 on the car 7 side and the counterweight 8 side varies. In low-floor elevators, the contribution of the weight of the main ropes 6 can be ignored. In contrast, in high-floor elevators, the contribution of the weight of the main ropes 6 cannot be ignored. In this case, by taking into account the weight difference of the main ropes 6 on the car 7 side and the counterweight 8 side according to the position of the car 7, the inertia torque can be accurately estimated.

[0058] M tc (z)g represents the weight of the control cables, which varies according to the car position z, applied to the car 7. In low-rise elevators, the contribution of the control cables' weight can be ignored. In contrast, in high-rise elevators, the contribution of the control cables' weight cannot be ignored.

[0059] Furthermore, if we consider (M c -M w )g and (M lc (z)-M lw (z)) by continuously calculating the mean and standard deviation of the non-inertial torque, it is possible to detect increases in the non-inertial torque of the rotating body due to aging. For example, if the mean ±3 standard deviations of the non-inertial torque are used as thresholds, it is possible to probabilistically evaluate whether the rotating body is different from normal, and this can also be used as an indicator for abnormality detection. Here, by using the non-inertial torque of equation (2) in the estimation unit 16c, the determination unit 16d can determine abnormalities in the rotating body.

[0060] In addition, if Figure 1 As shown, various factors can be considered for the rotating body, including interference between the main rope 6 and the anti-slip component (not shown), roller guide failure, and bearing failure. In this case, if the rotation detection unit 15 is positioned near the rotating body experiencing an abnormality, the abnormality can be detected more quickly. In this case, the attenuation of force transmission is reduced, allowing for more accurate determination of the abnormality.

[0061] In addition, by correcting the various constants in the derivation formula of the non-inertia torque during actual driving, the accuracy of detecting abnormalities can also be improved. Specifically, it is only necessary to identify the inertia I of the entire elevator system, the mass of the car 7, etc. based on the information of the current detection unit 14 and the rotation detection unit 15 at the initial stage of driving, and continuously compare the derivation result of the non-inertia torque at this time with the non-inertia torque derived by dividing it into a certain interval during the subsequent actual driving. In this case, the accuracy of detecting abnormalities can be improved. In particular, the mass of the car 7 increases or decreases due to passengers. Therefore, by performing identification at the initial stage of driving, the accuracy of identifying the mass of the car 7 can be further improved. Therefore, as an example, the estimation unit 16c estimates the non-inertia torque based on the detection result of the current detection unit 14 and the detection result of the rotation detection unit 15 when the traction machine 4 starts driving, and the determination unit 16d can determine the abnormality of the rotating body.

[0062] Next, use Figure 5 An example of the control device 16 will be described.

[0063] Figure 5 This is a hardware configuration diagram of the elevator control device in the first embodiment.

[0064] Each function of the control device 16 can be realized by a processing circuit. For example, the processing circuit includes at least one processor 100a and at least one memory 100b. For example, the processing circuit includes at least one dedicated hardware 200.

[0065] When the processing circuit includes at least one processor 100a and at least one memory 100b, the various functions of the control device 16 are implemented by software, firmware, or a combination of software and firmware. At least one of the software and firmware is described as a program. At least one of the software and firmware is stored in at least one memory 100b. The at least one processor 100a implements the various functions of the control device 16 by reading and executing the program stored in at least one memory 100b. The at least one processor 100a is also called a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, or a DSP. The at least one memory 100b is, for example, a non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, or EEPROM, a magnetic disk, a floppy disk, an optical disk, a compact disk, a minidisc, or a DVD.

[0066] When the processing circuit includes at least one dedicated hardware 200, the processing circuit may be implemented, for example, as a single circuit, a composite circuit, a programmable processor, a parallel programmable processor, an ASIC, an FPGA, or a combination thereof. For example, each function of the control device 16 may be implemented separately by the processing circuit. For example, each function of the control device 16 may be implemented collectively by the processing circuit.

[0067] The various functions of the control device 16 may be partially implemented by dedicated hardware 200, and the remaining functions may be implemented by software or firmware. For example, the functions of the estimation unit 16c may be implemented by a processing circuit as dedicated hardware 200, and functions other than the functions of the estimation unit 16c may be implemented by at least one processor 100a reading and executing a program stored in at least one memory 100b.

[0068] In this manner, the processing circuit implements the various functions of the control device 16 through hardware 200 , software, firmware, or a combination thereof.

[0069] Implementation Method 2

[0070] Figure 6 This is a structural diagram of an elevator system to which the abnormality detection device for an elevator in Embodiment 2 is applied. In addition, the same reference numerals are given to the parts that are the same as or correspond to those in Embodiment 1. The description of such parts is omitted. Figure 6 In FIG. 1 , a plurality of × marks indicate abnormal locations that may cause an increase in the driving torque required to move the elevator car.

[0071] Figure 6 The elevator system adopts Figure 1 There are different rope winding methods for elevator systems. Specifically, Figure 6 The elevator system uses a 2 to 1 rope winding method. On the other hand, it is obvious that Figure 6 The operation of the elevator system Figure 1 In this case, the control device 16 of the second embodiment operates in the same manner as the control device 16 of the first embodiment.

[0072] Therefore, according to the second embodiment, similarly to the first embodiment and the modification of the first embodiment, it is possible to accurately determine an abnormality in a rotating body such as the hoisting machine 4.

[0073] Implementation 3

[0074] Figure 7 This is a block diagram of an elevator system to which the elevator abnormality detection device according to Embodiment 3 is applied. Components identical or corresponding to those in Embodiment 1 are denoted by the same reference numerals, and descriptions of such components are omitted.

[0075] Figure 7 The elevator system adopts an absolute position detection system 17. The absolute position detection system 17 includes a scale 17a and a measuring device 17b.

[0076] The scale 17a is installed in the hoistway 1 with its longitudinal direction in the vertical direction. The measuring device 17b is installed on the ceiling of the car 7. The measuring device 17b detects the absolute position of the car 7 by reading the scale 17a. The rotation detection unit 15 calculates the angular acceleration of the rotating body based on the information on the absolute position of the car 7.

[0077] The control device 16 detects abnormalities in rotating bodies such as the hoisting machine 4. Furthermore, the control device 16 may also detect abnormalities in rotating bodies such as the hoisting machine 4 and the car-side guide rollers 9 in combination with the detection results of the absolute position of the car 7. The absolute position detection system 17 is located closer to the car 7 than the rotation detection unit 15. Therefore, abnormalities in rotating bodies near the car 7 can be detected more accurately and earlier.

[0078] According to the third embodiment described above, the control device 16 detects the angular acceleration of the rotating body based on the detection result of the absolute position of the car 7. Therefore, abnormalities of the rotating body such as the hoisting machine 4 and the car-side guide rollers 9 can be detected more accurately.

[0079] Furthermore, the control device 16 of Embodiments 1 to 3 can also be applied to an elevator that does not have a machine room 2 but has the hoisting machine 4 and the control device 16 installed above or below the hoistway 1.

[0080] Industrial applicability

[0081] As described above, the abnormality detection device for an elevator according to the present invention can be used in an elevator system.

[0082] Description of labels

[0083] 1: Hoistway; 2: Machine room; 4: Traction machine; 5: Deflector pulley; 6: Main rope; 7: Car; 8: Counterweight; 9: Car side guide roller; 10: Counterweight side guide roller; 11: Tensioning pulley; 12: Compensating rope; 13: Speed ​​governor; 13a: First pulley; 13b: Second pulley; 13c: Speed ​​governor rope; 14: Current detection unit; 15: Rotation detection unit; 16: Control device; 16a: Torque calculation unit; 16b: Angular acceleration calculation unit; 16c: Estimation unit; 16d: Determination unit; 16e: Angular velocity pattern generation unit; 16f: Angular velocity control unit; 16g: Current control unit; 17: Absolute position detection system; 17a: Scale; 17b: Measuring device; 100a: Processor; 100b: Memory; 200: Hardware.

Claims

1. An abnormality detection device for an elevator, wherein: The abnormality detection device of the elevator comprises: a current detecting unit for detecting a current flowing through the hoisting machine of the elevator; a rotation detecting unit for detecting a state of a rotating body serving as a transmission mechanism for transmitting a driving torque of the elevator car; an estimating unit that estimates the non-inertia torque of the rotating body based on the detection result of the current detecting unit and the angular acceleration information of the rotation detecting unit; as well as A determination unit determines that an abnormality of the elevator occurs based on the increase in the non-inertia torque estimated by the estimation unit.

2. The abnormality detection device for an elevator according to claim 1, wherein: The estimation unit estimates the non-inertia torque based on a detection result of the current detection unit and angular acceleration information of the rotation detection unit when driving of the hoisting machine starts.

3. The abnormality detection device for an elevator according to claim 1, wherein: The estimating unit estimates the non-inertia torque based on the weight of the car.

4. The abnormality detection device for an elevator according to claim 2, wherein: The estimating unit estimates the non-inertia torque based on the weight of the car.

5. The abnormality detection device for an elevator according to claim 3, wherein: When t is the driving torque of the hoisting machine, I is the inertia of the entire elevator system, and α is the angular acceleration of the hoisting machine, the estimating unit estimates the non-inertia torque based on an equation represented by t-Iα.

6. The abnormality detection device for an elevator according to claim 4, wherein: When t is the driving torque of the hoisting machine, I is the inertia of the entire elevator system, and α is the angular acceleration of the hoisting machine, the estimating unit estimates the non-inertia torque based on an equation represented by t-Iα.

7. The abnormality detection device for an elevator according to claim 3, wherein: The estimating unit estimates the non-inertia torque based on a difference between the weight of the car and the weight of the counterweight of the elevator.

8. The abnormality detection device for an elevator according to claim 4, wherein: The estimating unit estimates the non-inertia torque based on a difference between the weight of the car and the weight of the counterweight of the elevator.

9. The abnormality detection device for an elevator according to claim 7, wherein: Assuming t is the driving torque of the traction machine, I is the inertia of the entire elevator system, α is the angular acceleration of the traction machine, M c is the mass of the car, M w is the mass of the counterweight, D is the rotation diameter of the traction machine, M lc (z) is the mass of the main rope of the elevator on the car side which changes according to the position z of the car, M lw (z) is the mass of the main rope on the counterweight side that changes according to the position z of the car, M tc (z) is the mass of the elevator control cable that changes according to the position z of the car, and g is the acceleration due to gravity. The estimation unit is based on t-Iα-(M c -M w )g×D / 2-(M lc (z)-M lw (z))g×D / 2-M tc The non-inertia torque is estimated using the formula represented by (z)g×D / 2.

10. The abnormality detection device for an elevator according to claim 8, wherein: Assuming t is the driving torque of the traction machine, I is the inertia of the entire elevator system, α is the angular acceleration of the traction machine, M c is the mass of the car, M w is the mass of the counterweight, D is the rotation diameter of the traction machine, M lc (z) is the mass of the main rope of the elevator on the car side which changes according to the position z of the car, M lw (z) is the mass of the main rope on the counterweight side that changes according to the position z of the car, M tc (z) is the mass of the elevator control cable that changes according to the position z of the car, and g is the acceleration due to gravity. The estimation unit is based on t-Iα-(M c -M w )g×D / 2-(M lc (z)-M lw (z))g×D / 2-M tc The non-inertia torque is estimated using the formula represented by (z)g×D / 2.

11. The abnormality detection device for an elevator according to any one of claims 1 to 10, wherein: The rotation detecting unit detects a state of at least one rotating body.

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