Estimation device and estimation method

Abstract

A simple method is used to estimate the generation of vibrations and noise indoors. [Solution] An estimation device according to one aspect of the present disclosure includes: a measurement data acquisition unit (35) that acquires measurement data which is the result of measuring the vibration of a beam in a building on which a hoisting machine for an elevator is directly or indirectly installed, or the vibration of the platform on which the hoisting machine is installed, during the period when the elevator car is moving; and an estimation unit (37) that estimates whether or not vibration and / or noise occurs inside the building based on the presence or absence of humming in the measurement data.

Description

Technical Field

[0001] The present invention relates to an estimation device for estimating the presence or absence of vibration and / or noise generation in a building interior, etc.

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, since the vibration of the hoisting machine does not necessarily generate vibration and noise, there is a need to estimate the generation of vibration and noise in the interior, particularly by a simple method, especially a method that does not require measurement in an interior such as a living room.

[0005] One aspect of the present invention aims to provide an estimation device that can estimate the generation of vibration and noise in the interior by a simple method, 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 measurement data acquisition unit that acquires measurement data which is the result of measuring the vibration of a beam in a building where a hoisting machine for an elevator is directly or indirectly installed, or the vibration of the platform on which the hoisting machine is installed, during the period when the elevator car is moving, and an estimation unit that estimates whether or not vibration and / or noise occurs inside the building based on the presence or absence of humming in the measurement data.

[0007] 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.

[0008] An estimation device according to embodiment 2 of the present invention further comprises, in embodiment 1 above, a frequency calculation unit that calculates a possible jamming frequency 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, and a filter application unit that applies a bandpass filter consisting of a predetermined range of frequencies including the jamming frequency to the measurement data, wherein the estimation unit may be configured to detect the presence or absence of the beat based on the measurement data to which the bandpass filter has been applied by the filter application unit.

[0009] With the above configuration, by using measurement data to which a bandpass filter has been applied, the measurement data analyzed by the estimation unit can be limited to data with frequencies within a predetermined range, including the bite frequency. Therefore, the accuracy of beat detection can be improved with respect to vibrations that occur based on the bite frequency.

[0010] In the third aspect of the present invention, the estimation device may be configured such that, in the second aspect described above, the estimation unit detects the presence or absence of the humming noise by calculating the envelope of the measurement data during the period when the elevator car is moving at a constant speed.

[0011] With the above configuration, the presence or absence of beats can be detected using the envelope, thereby improving the accuracy of beat detection.

[0012] In the estimation device according to aspect 4 of the present invention, the estimation unit may be configured to detect the presence or absence of beats by calculating the number of periods in which the ratio of the envelope to the effective value of the measurement data exceeds a threshold for a predetermined period of time or longer.

[0013] With the above configuration, the presence or absence of beats is detected based on the RMS value of the measurement data, so it is possible to accurately determine whether or not beats are occurring.

[0014] The estimation device according to embodiment 5 of the present invention further comprises, in any of embodiments 1 to 4 above, a hammering test data acquisition unit that performs a hammering test on the beam or the hoisting machine 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 the 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; and 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, wherein the determination unit determines that the difference is less than or equal to a predetermined value, and the processing by the measurement data acquisition unit and the processing by the estimation unit are performed.

[0015] With the above configuration, estimation can be performed efficiently because it 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.

[0016] To solve the above problems, the estimation method according to aspect 6 of the present invention includes a measurement data acquisition step of acquiring measurement data which is the result of measuring the vibration of a beam in a building where the hoisting machine of the elevator is directly or indirectly installed, or the vibration of the platform on which the hoisting machine is installed, during the period when the elevator car is moving, and an estimation step of estimating whether or not vibration and / or noise occurs inside the room of the building based on the presence or absence of humming in the measurement data. The above configuration provides the same effect as aspect 1 above.

[0017] The estimation device according to embodiment 7 of the present invention further includes, in embodiment 6 above, a hammering test data acquisition step of performing a hammering test on the beam or the hoisting machine and acquiring 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; and 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, wherein in the determination step, if it is determined that the difference is less than or equal to a predetermined value, the measurement data acquisition step and the estimation step are performed. The above configuration provides the same effect as embodiment 5 above. [Effects of the Invention]

[0018] According to one aspect of the present invention, the generation of vibrations and noise in a room can be estimated in a simple manner. [Brief explanation of the drawing]

[0019] [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]It is a diagram showing the periphery of a hoisting machine included in an elevator according to an embodiment of the present invention. [Figure 3] It is a diagram showing a rope according to an embodiment of the present invention. The diagram indicated by reference numeral 301 is a cross-sectional view of the rope cut along a plane perpendicular to the direction in which the rope extends, and the diagram indicated by reference numeral 302 is an enlarged view of the rope. [Figure 4] It is a diagram showing the relationship between the natural frequency of a beam of a building in which the hoisting machine is installed and the meshing frequency of vibrations generated by the meshing of the rope and the hoisting machine. [Figure 5] It is a graph showing an example of measurement data to which a band-pass filter is applied. [Figure 6] It is a flowchart showing an example of the processing of an estimation method according to an embodiment of the present invention.

Mode for Carrying Out the Invention

[0020] Hereinafter, an embodiment of the present invention will be described in detail. FIG. 1 is a block diagram showing the main configuration of an estimation system 100 in the present embodiment. As shown in FIG. 1, the estimation system 100 includes a first accelerometer 11, a second accelerometer 12, and an estimation device 20.

[0021] Before describing the estimation system 100, noise and vibrations generated in the room of a building in which the elevator is installed due to the movement of the elevator will be described.

[0022] FIG. 2 is a diagram showing the periphery of a hoisting machine 60 included in an elevator 50 in the present embodiment. As shown in FIG. 2, in the elevator 50 in the present embodiment, as shown in FIG. 2, the hoisting machine 60 is installed on a base 3 indirectly disposed on a beam 1 of a building via a vibration isolator 2. In the elevator 50, the hoisting machine 60 winds up a rope 70 to raise and lower a car (not shown). Note that the hoisting machine 60 may be directly installed on the beam 1.

[0023] 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.

[0024] As shown by reference numeral 302 in Figure 3, the length measured parallel to the central axis of the rope 70 up to the point where one strand makes one full rotation around the rope 70 is called the strand pitch. During the period when the hoisting machine 60 is winding up the rope 70, vibrations occur due to the meshing of the rope 70 and the hoisting machine 60. The frequency of these vibrations (hereinafter referred to as the meshing frequency) is determined by the strand pitch of the rope 70 and the speed at which the hoisting machine 60 winds up the rope 70.

[0025] Figure 4 shows the relationship between the natural frequency of the beam 1 of the building where the hoisting machine 60 is directly or indirectly installed, and the meshing frequency of the vibration caused by the meshing of the rope 70 and the hoisting machine 60. As shown in Figure 4, if the meshing frequency is slightly different from the natural frequency of the beam 1 of the building where the hoisting machine 60 is directly or indirectly installed, a humming phenomenon occurs, generating vibration and noise inside the building (e.g., in a living room). The rope 70 may stretch during use, and if the rope 70 stretches, the strand pitch changes, the meshing frequency changes, and a humming phenomenon that did not occur before may occur. Therefore, it is necessary to periodically check whether or not a humming phenomenon occurs. If a humming phenomenon occurs, measures can be taken to prevent it, for example, by changing the elevator's operating speed.

[0026] The estimation system 100 in this embodiment estimates whether or not vibrations and noise occur inside the building due to the above-mentioned humming phenomenon.

[0027] 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.

[0028] The second accelerometer 12 is installed on the platform 3 on which the hoisting machine 60 is mounted, and measures the vibration of the platform 3. The second accelerometer 12 outputs the measurement data, which is the result of measuring the vibration of the platform 3, to the estimation device 20.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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].

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] (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.

[0043] 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, hammering test data acquisition step).

[0044] 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).

[0045] 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.

[0046] 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.

[0047] 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).

[0048] 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).

[0049] 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.

[0050] As described above, 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.

[0051] In the estimation device 20 of this embodiment, if 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 determined to be less than or equal to a predetermined value, the estimation unit 37 estimates the presence or absence of vibration and / or noise based on the measurement data acquired by the measurement data acquisition unit 35. This allows estimation to be performed 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 probability of a humming phenomenon occurring, thus enabling efficient estimation. However, in one aspect of the estimation device of this disclosure, the estimation unit 37 may estimate the presence or absence of vibration and / or noise for all elevators based on the measurement data acquired by the measurement data acquisition unit 35 without performing the above determination. In other words, steps S1, S2, and S4 shown in Figure 6 may not be performed.

[0052] 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.

[0053] 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.

[0054] 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.

[0055] 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]

[0056] 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 measurement data acquisition unit acquires measurement data that is the result of measuring the vibration of the building beams or the platform on which the hoisting machine of the elevator is installed, either directly or indirectly, during the period when the elevator car is moving. An estimation device comprising: an estimation unit that estimates whether or not vibration and / or noise occurs inside the building based on the presence or absence of humming in the measurement data.

2. A frequency calculation unit calculates the possible jamming frequency generated by the hoisting machine based on the strand pitch of the rope being hoisted by the hoisting machine and the speed at which the hoisting machine hoists the rope. The system further comprises a filter application unit that applies a bandpass filter consisting of a predetermined range of frequencies including the aforementioned bite frequency to the measurement data, The estimation device according to claim 1, wherein the estimation unit detects the presence or absence of beats based on the measurement data to which a bandpass filter has been applied by the filter application unit.

3. The estimation device according to claim 2, wherein the estimation unit detects the presence or absence of the beat by calculating the envelope of the measurement data during the period when the elevator car is moving at a constant speed.

4. The estimation device according to claim 3, wherein the estimation unit detects the presence or absence of beats by calculating the number of periods in which the ratio of the envelope to the effective value of the measurement data exceeds a threshold for a predetermined period of time or longer.

5. A hammering test data acquisition unit performs a hammering test on the beam or the hoisting machine 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, Furthermore, The estimation device according to claim 1, wherein when the determination unit determines that the difference is less than or equal to a predetermined value, the measurement data acquisition unit performs processing and the estimation unit performs processing.

6. A measurement data acquisition step involves acquiring measurement data, which is the result of measuring the vibration of the building beams or the platform on which the hoisting machine of the elevator is installed, either directly or indirectly, during the period in which the elevator car is moving. An estimation step to estimate whether or not vibration and / or noise occurs inside the building based on the presence or absence of humming in the measurement data, An estimation method that includes this.

7. A hammering test data acquisition step involves performing a hammering test on the beam or the hoisting machine and obtaining hammering test data, which is the result of measuring the vibration of the object of the hammering test. 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, It further includes, In the determination step, if it is determined that the difference is less than or equal to a predetermined value, the measurement data acquisition step and the estimation step are performed. The estimation method according to claim 6.

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