Estimation device and estimation method

Abstract

To efficiently estimate vibrations and / or noise caused by vibrations in the hoisting machine. [Solution] An estimation device according to one aspect of the present disclosure includes: a hammering test data acquisition unit (31) that performs a hammering test on a beam of a building on which a hoisting machine is installed and acquires hammering test data which is the result of measuring the vibration of the object of the hammering test; a first calculation unit (32) that calculates the resonant frequency of the beam based on the hammering test data; a second calculation unit (33) that calculates the jamming frequency that may be generated from the hoisting machine; a determination unit (34) that determines whether the difference between the resonant frequency and the jamming frequency is less than or equal to a predetermined value; and an estimation unit (37) that estimates whether or not vibration and / or noise occurs inside the building when the determination unit (34) determines that the difference is less than or equal to a predetermined value.

Description

Technical Field

[0001] The present invention relates to a detection device for detecting a failure of a safety tissue, etc.

Background Art

[0002] Patent Document 1 discloses a vibration control system that detects the vibration of a hoisting machine provided in an elevator and operates a vibration control device based on the detection result to suppress the vibration and noise in the living room of the building where the elevator is installed.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the vibration of the hoisting machine does not necessarily cause vibration and noise, and it is inefficient to inspect all elevators in detail.

[0005] One aspect of the present invention aims to provide an estimation device that can efficiently estimate the occurrence of vibration and / or noise caused by the vibration of a hoisting machine, etc.

Means for Solving the Problems

[0006] To solve the above problems, the estimation device according to embodiment 1 of the present invention includes: a hammering test data acquisition unit that performs a hammering test on a beam of a building where a hoisting machine for an elevator is directly or indirectly installed, or on the hoisting machine itself, and acquires hammering test data which is the result of measuring the vibration of the object of the hammering test; a first calculation unit that calculates the resonant frequency of the beam based on the hammering test data; a second calculation unit that calculates a jamming frequency that may be generated from the hoisting machine based on the strand pitch of the rope hoisted up by the hoisting machine and the speed at which the hoisting machine hoists up the rope; a determination unit that determines whether the difference between the resonant frequency calculated by the first calculation unit and the jamming frequency calculated by the second calculation unit is less than or equal to a predetermined value; and an estimation unit that, when the determination unit determines that the difference is less than or equal to a predetermined value, estimates whether or not vibration and / or noise occurs inside the building.

[0007] According to the above configuration, estimation is limited to elevators where the difference between the beam's resonant frequency and the jamming frequency is below a predetermined value, in other words, elevators where the humming phenomenon is likely to occur. Therefore, the generation of vibrations and / or noise caused by vibrations of the hoisting machine can be efficiently estimated. In the estimation device according to aspect 2 of the present invention, in aspect 1, the estimation unit acquires measurement data which is the result of measuring the vibration of the beam or the platform on which the hoisting machine is installed during the period when the elevator is moving, and estimates whether or not vibration and / or noise is generated inside the building based on the presence or absence of humming in the measurement data.

[0008] According to the above configuration, the presence or absence of vibration and / or noise inside a building can be estimated based on measurement data obtained from measuring the vibration of the building's beam or platform on which the hoisting machine is installed. Therefore, the occurrence of vibration and noise inside a building can be estimated in a simple manner.

[0009] To solve the above problems, the estimation method according to embodiment 3 of the present invention includes: an acquisition step of performing a hammering test on a beam of a building where a hoisting machine equipped with an elevator is directly or indirectly installed, or on the hoisting machine itself, and obtaining hammering test data which is the result of measuring the vibration of the object of the hammering test; a first calculation step of calculating the resonant frequency of the beam based on the hammering test data; a second calculation step of calculating a jamming frequency that may be generated from the hoisting machine based on the strand pitch of the rope hoisted up by the hoisting machine and the speed at which the hoisting machine hoists up the rope; a determination step of determining whether the difference between the resonant frequency calculated in the first calculation step and the jamming frequency calculated in the second calculation step is less than or equal to a predetermined value; and an estimation step of estimating whether or not vibration and / or noise occur inside the building if it is determined in the determination step that the difference is less than or equal to a predetermined value. According to the above configuration, the same effect as embodiment 1 is achieved. [Effects of the Invention]

[0010] According to one aspect of the present invention, it is possible to efficiently estimate the generation of vibrations and / or noise caused by vibrations of the hoisting machine. [Brief explanation of the drawing]

[0011] [Figure 1] This is a block diagram showing the main components of an estimation system according to one embodiment of the present invention. [Figure 2] This diagram shows the area around the hoisting machine of an elevator according to one embodiment of the present invention. [Figure 3] This figure shows a rope according to one embodiment of the present invention, where the figure indicated by reference numeral 301 is a cross-sectional view obtained by cutting the rope with a plane perpendicular to the direction in which the rope extends, and the figure indicated by reference numeral 302 is an enlarged view of the rope. [Figure 4] This figure shows the relationship between the natural frequency of the beam of the building where the above-mentioned hoisting machine is installed and the interlocking frequency of the vibration caused by the interlocking of the rope and the above-mentioned hoisting machine. [Figure 5] This graph shows an example of measurement data to which a bandpass filter has been applied. [Figure 6] This flowchart shows an example of the processing of an estimation method according to one embodiment of the present invention. [Modes for carrying out the invention]

[0012] One embodiment of the present invention will be described in detail below. Figure 1 is a block diagram showing the main components of the estimation system 100 in this embodiment. As shown in Figure 1, the estimation system 100 comprises a first accelerometer 11, a second accelerometer 12, and an estimation device 20.

[0013] Before describing the estimated system 100, we will explain the noise and vibration generated in the rooms of the building where the elevator is installed due to the movement of the elevator.

[0014] Figure 2 shows the area around the hoisting machine 60 of the elevator 50 in this embodiment. As shown in Figure 2, in the elevator 50 of this embodiment, the hoisting machine 60 is installed on a platform 3 that is indirectly placed on the beam 1 of the building via vibration-damping rubber 2. In the elevator 50, the hoisting machine 60 raises the rope 70, thereby raising and lowering the elevator car (not shown). The hoisting machine 60 may also be directly installed on the beam 1.

[0015] Figure 3 shows the rope 70, the figure indicated by reference numeral 301 is a cross-sectional view of the rope 70 cut by a plane perpendicular to the direction in which the rope 70 extends, and the figure indicated by reference numeral 302 is an enlarged view of the rope 70. As shown by reference numeral 301 in Figure 3, the rope 70 is constructed by twisting multiple strands 72 around a core rope 71. Although not shown, each strand 72 is made up of multiple wires.

[0016] As shown by reference numeral 302 in FIG. 3, the length measured parallel to the central axis of the rope up to the point where one strand rotates once around the rope 70 is called the strand pitch. During the period when the winch 60 is winding up the rope 70, vibration occurs due to the meshing of the rope 70 and the winch 60. The frequency of this vibration (hereinafter referred to as the meshing frequency) is determined by the strand pitch of the rope 70 and the speed at which the winch 60 winds up the rope 70.

[0017] FIG. 4 is a diagram showing the relationship between the natural frequency of the beam 1 of the building in which the winch 60 is directly or indirectly installed and the meshing frequency of the vibration generated by the meshing of the rope 70 and the winch 60. As shown in FIG. 4, when the meshing frequency is slightly different from the natural frequency of the beam 1 of the building in which the winch 60 is directly or indirectly installed, a resonance phenomenon occurs and vibration and noise are generated indoors in the building (for example, in a living room). The rope 70 may stretch during use. When the rope 70 stretches, the strand pitch changes and the meshing frequency changes, and there is a possibility that a resonance phenomenon that has not occurred until then may occur. Therefore, it is necessary to periodically check whether or not a resonance phenomenon occurs. When a resonance phenomenon occurs, for example, the operating speed of the elevator is changed so that the resonance phenomenon does not occur.

[0018] The estimation system 100 in the present embodiment estimates the presence or absence of the occurrence of vibration and noise indoors in the building caused by the above-described resonance phenomenon.

[0019] The first accelerometer 11 is installed on the beam 1 and measures the vibration of the beam 1. The first accelerometer 11 outputs data, which is the result of measuring the vibration of the beam, to the estimation device 20.

[0020] The second accelerometer 12 is installed on the base 3 on which the winch 60 is installed and measures the vibration of the base 3. The second accelerometer 12 outputs measurement data, which is the result of measuring the vibration of the base 3, to the estimation device 20.

[0021] The estimation device 20 estimates whether or not vibration and noise occur inside the room of the building where the elevator 50 is installed. As shown in Figure 1, the estimation device 20 includes an input unit 21 that receives input to the estimation device 20, a display unit 22 for displaying various information, a storage unit 23 that stores various data and programs used by the estimation device 20, and a control unit 30.

[0022] The control unit 30 comprehensively controls the operation of each part of the estimation device 20. The control unit 30 is composed of, for example, a calculation processing unit such as a CPU (Central Processing Unit) or a dedicated processor. The control unit 30 includes a hammering test data acquisition unit 31, a first calculation unit 32, a second calculation unit 33 (frequency calculation unit), a determination unit 34, a measurement data acquisition unit 35, a filter application unit 36, and an estimation unit 37.

[0023] The hammering test data acquisition unit 31 acquires hammering test data, which is the result of measuring the vibration of the beam 1 during the hammering test, from the first accelerometer 11 via the input unit 21. In the hammering test described above, the beam 1 is struck with a hammer, and the vibration generated in the beam 1 as a result of the striking is measured by the first accelerometer 11.

[0024] The first calculation unit 32 calculates the resonance frequency of the beam 1 based on the hammering test data acquired by the hammering test data acquisition unit 31. This resonance frequency may be calculated by a conventionally known method.

[0025] The second calculation unit 33 calculates the possible jamming frequency generated by the hoisting machine 60 based on the strand pitch of the rope 70 being hoisted by the hoisting machine 60 and the speed at which the hoisting machine 60 hoists up the rope 70. Specifically, the second calculation unit 33 determines the strand signal frequency f (jamming frequency) from the feed speed and strand pitch of the rope 70 using the following equation 1: Strand signal frequency (f) = V / L (Equation 1). Here, V is the feed speed of the rope 70 [m / s] and L is the strand pitch [m]. The determination unit 34 determines whether the difference between the resonance frequency of the beam 1 calculated by the first calculation unit 32 and the bite frequency calculated by the second calculation unit 33 is less than or equal to a predetermined value. This predetermined value may be, for example, 5% to 15% of the calculated bite frequency. The measurement data acquisition unit 35 acquires measurement data from the second accelerometer 12 via the input unit 21, which is the result of measuring the vibration of the platform 3 on which the hoisting machine 60 is installed during the period when the elevator car of the elevator 50 is moving.

[0026] The filter application unit 36 ​​applies a bandpass filter consisting of a predetermined frequency range including the bite frequency calculated by the second calculation unit 33 to the measurement data acquired by the measurement data acquisition unit 35 from the second accelerometer 12. For example, if the bite frequency calculated by the second calculation unit 33 is 100 Hz, the filter application unit 36 ​​applies a bandpass filter of 80 to 120 Hz to the measurement data.

[0027] The estimation unit 37 estimates whether vibration and / or noise occur inside the building based on the presence or absence of beats in the measurement data acquired by the measurement data acquisition unit 35 from the second accelerometer 12. Specifically, the estimation unit 37 analyzes the measurement data to which a bandpass filter has been applied by the filter application unit 36 ​​to determine the presence or absence of beats in the measurement data, and estimates that vibration and / or noise occur inside the building if beats are present.

[0028] The estimation unit 37 displays the estimated result on the display unit 22. Furthermore, if the estimation unit 37 estimates that vibration and / or noise will occur, it may display an alarm on the display unit 22 instructing a change in the elevator's operating speed. In this case, the elevator inspector can check the alarm displayed on the display unit 22 and change the elevator's operating speed. This will stop the generation of vibration and / or noise.

[0029] Furthermore, the first accelerometer 11 and the second accelerometer 12 may be permanently installed and automatically inspected periodically, that is, the estimation method described later may be automatically executed periodically. In this case, if the estimation unit 37 estimates that vibration and / or noise is occurring, the control unit 30 may automatically change the elevator's operating speed to eliminate the humming phenomenon. Also, when machine vibration measurements such as bearing abnormality diagnosis are performed using a measurement tool during periodic inspections, the functions of the control unit 30 may be mounted on the measurement tool.

[0030] Figure 5 is a graph showing an example of measurement data to which a bandpass filter has been applied by the filter application unit 36. The measurement data shown in Figure 5 is data to which a bandpass filter has been applied, which is the result of the second accelerometer 12 measuring the vibration of the platform 3 when the elevator car accelerated from 7.5 seconds to 13 seconds, traveled at a constant speed from 13 seconds to 28 seconds, and decelerated from 28 seconds to 36 seconds. As shown in Figure 5, the estimation unit 37 calculates the envelope of the measurement data during the period when the elevator car is moving at a constant speed and identifies the period during which the envelope exceeds a predetermined threshold for a predetermined time or longer. The estimation unit 37 then calculates the number of times during which the period during which the envelope exceeds the predetermined threshold continues for a predetermined time or longer (for example, 1 second or more). In the example shown in Figure 5, the estimation unit 37 calculates that the period during which the envelope exceeds the threshold is 3 times. The estimation unit 37 determines that humming is occurring if the number of times is greater than or equal to a predetermined number, and estimates that vibration and / or noise are occurring inside the building. The predetermined number of times mentioned above may be set to one time, or to multiple times such as two or three times. Since the estimation unit 37 detects the presence or absence of beats using the envelope, the accuracy of beat detection can be improved.

[0031] The threshold value may be set based on the effective value of the measurement data. For example, the threshold value may be obtained by multiplying the effective value of the measurement data by a predetermined ratio. In this case, the estimation unit 37 detects the presence or absence of beats by calculating the number of periods in which the ratio between the envelope and the effective value of the measurement data exceeds the threshold value for a predetermined period of time or longer. With this configuration, since the presence or absence of beats is detected based on the effective value of the measurement data, it is possible to determine with high accuracy whether or not beats are occurring.

[0032] (An example of processing by the estimation device 20) Next, the processing flow by the estimation device 20 will be explained with reference to Figure 6. Figure 6 is a flowchart showing an example of the processing of the estimation method by the estimation device 20.

[0033] In the estimation method using the estimation device 20, first, the hammering test data acquisition unit 31 acquires hammering test data from the first accelerometer 11, which is the result of measuring the vibration of the beam 1 during the hammering test (step S1, acquisition step).

[0034] Next, the first calculation unit 32 calculates the resonance frequency of the beam 1 based on the hammering test data acquired by the hammering test data acquisition unit 31 (step S2, first calculation step).

[0035] Next, the second calculation unit 33 calculates the possible jamming frequency generated by the hoisting machine 60 based on the strand pitch of the rope 70 being hoisted up by the hoisting machine 60 and the speed at which the hoisting machine 60 hoists up the rope 70 (step S3, second calculation step). Step S3 may be performed before step S1.

[0036] Next, the determination unit 34 determines whether the difference between the resonance frequency of beam 1 calculated in step S2 and the bite frequency calculated in step S3 is less than or equal to a predetermined value (step S4, determination step). If the above difference is greater than the predetermined value (NO in step S4), it is considered that the humming phenomenon will not occur, and the process is terminated.

[0037] On the other hand, if the above difference is less than or equal to a predetermined value (YES in step S4), the measurement data acquisition unit 35 acquires measurement data from the second accelerometer 12, which is the result of measuring the vibration of the platform 3 on which the hoisting machine is installed during the period when the elevator car of the elevator 50 is moving (step S5, measurement data acquisition step).

[0038] Next, the filter application unit 36 ​​applies a bandpass filter consisting of a predetermined range of frequencies including the bite frequency calculated in step S3 to the measurement data acquired in step S5 (step S6).

[0039] Finally, the estimation unit 37 estimates whether or not vibration and / or noise are occurring inside the building based on the presence or absence of hum in the measurement data to which the bandpass filter was applied in step S6 (step S7, estimation step). The estimation unit 37 displays the estimated result on the display unit 22.

[0040] As described above, in the estimation device 20 of this embodiment, when the determination unit 34 determines that the difference between the resonance frequency of the beam 1 calculated by the first calculation unit 32 and the jamming frequency calculated by the second calculation unit 33 is less than or equal to a predetermined value, the estimation unit 37 estimates whether or not vibration and / or noise occurs based on the measurement data acquired by the measurement data acquisition unit 35. This makes it possible to perform estimation only on elevators where the difference between the resonance frequency of the beam 1 and the jamming frequency calculated by the second calculation unit 33 is less than or equal to a predetermined value, in other words, elevators where there is a high possibility of a humming phenomenon occurring, thus enabling efficient estimation.

[0041] Furthermore, the estimation device 20 in this embodiment includes a measurement data acquisition unit 35 that acquires measurement data, which is the result of a second accelerometer 12 measuring the vibration of the beam 1 of the building on which the hoisting machine 60 is indirectly installed, during the period when the elevator car is moving, and an estimation unit 37 that estimates the presence or absence of vibration and / or noise occurring inside the building based on the presence or absence of humming in the measurement data acquired by the measurement data acquisition unit 35. With the above configuration, the presence or absence of vibration and / or noise occurring inside the building can be estimated based on the results measured by the second accelerometer 12. Therefore, the occurrence of vibration and noise inside the building can be estimated in a simple manner.

[0042] In the estimation device 20 of this embodiment, the estimation unit 37 is configured to detect the presence or absence of beats based on measurement data to which a bandpass filter consisting of a predetermined range of frequencies including the bite frequency has been applied. However, the estimation device 20 of this disclosure is not limited to this configuration. In one embodiment of the estimation device 20, the presence or absence of beats may be detected based on measurement data to which a bandpass filter has not been applied. However, by using measurement data to which a bandpass filter has been applied, the measurement data analyzed by the estimation unit 37 can be limited to data with frequencies within a predetermined range including the bite frequency, thereby improving the accuracy of beat detection with respect to vibrations generated based on the bite frequency.

[0043] In the estimation system 100 of this embodiment, the measurement data acquisition unit 35 acquires measurement data from the second accelerometer 12, which is the result of measuring the vibration of the platform 3 on which the hoisting machine is installed, and the estimation unit 37 performs estimation using the acquired measurement data. However, the estimation system 100 of this disclosure is not limited to this configuration. In one aspect of the estimation system 100 of this disclosure, the vibration of the beam 1 is measured during the period in which the elevator car 50 is moving, and measurement data is acquired from the first accelerometer 11 via the input unit 21, and the estimation unit 37 performs estimation using the acquired measurement data. In this case, the second accelerometer 12 is not required.

[0044] In the estimation system 100 of this embodiment, the object struck with the hammer in the hammering test was the beam 1. However, in one aspect of the estimation system 100 of this disclosure, the object struck with the hammer in the hammering test may be the hoisting machine 60. In this case, since the hoisting machine 60 is installed on the beam 1 via vibration-damping rubber 2, the resonant frequency of the beam 1 can be calculated taking into account the effect of vibration-damping rubber 2.

[0045] The present invention is not limited to the embodiments described above, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present invention. [Explanation of Symbols]

[0046] 20 Estimation device 31. Hammering test data acquisition unit 32 First Calculation Unit 33. Second Calculation Unit (Frequency Calculation Unit) 34 Judgment section 35 Measurement data acquisition unit 36 Filter application section 37 Estimation part 50 Elevators 60 Hoisting machine 70 ropes

Claims

1. A hammering test data acquisition unit that performs a hammering test on a beam of a building where a hoisting machine for an elevator is directly or indirectly installed, or on the hoisting machine itself, and acquires hammering test data which is the result of measuring the vibration of the object of the hammering test, A first calculation unit calculates the resonance frequency of the beam based on the hammering test data, A second calculation unit calculates the jamming frequency that may occur from the hoisting machine based on the strand pitch of the rope being hoisted up by the hoisting machine and the speed at which the hoisting machine hoists up the rope. A determination unit that determines whether the difference between the resonance frequency calculated by the first calculation unit and the bite frequency calculated by the second calculation unit is less than or equal to a predetermined value, When the determination unit determines that the difference is less than or equal to a predetermined value, the estimation unit estimates whether or not vibration and / or noise occurs inside the building. An estimation device equipped with the following features.

2. The estimation unit, Measurement data is obtained, which is the result of measuring the vibration of the beam or the platform on which the hoisting machine is installed during the period when the elevator is moving. Based on the presence or absence of humming in the measurement data, the presence or absence of vibration and / or noise in the interior of the building is estimated. The estimation device according to claim 1.

3. A step of obtaining hammering test data, which is the result of measuring the vibration of the object of the hammering test, by performing a hammering test on a beam of a building on which the hoisting machine of the elevator is directly or indirectly installed, or on the hoisting machine itself, and A first calculation step involves calculating the resonance frequency of the beam based on the hammering test data, A second calculation step of calculating the jamming frequency that may be generated from the hoisting machine based on the strand pitch of the rope being hoisted up by the hoisting machine and the speed at which the hoisting machine hoists up the rope, A determination step to determine whether the difference between the resonant frequency calculated in the first calculation step and the bite frequency calculated in the second calculation step is less than or equal to a predetermined value, If the determination step determines that the difference is less than or equal to a predetermined value, the estimation step estimates whether or not vibration and / or noise occurs inside the building. An estimation method that includes this.

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