JP2022094861A - Impact analyzer - Google Patents

Abstract

To provide an impact analyzer that can analyze a continuous impact on an impact analyzer.SOLUTION: An impact analyzer 1 includes: measured value acquisition means 11 for acquiring a measured value that changes according to an impact applied on an impact device at predetermined intervals; time-series data generation means 12 for generating time-series data showing in waveform the change over time of a plurality of measured values continuously acquired at predetermined intervals; and amplitude spectrum generation means 13 for generating an amplitude spectrum showing the accumulated value of the amplitude for each frequency on the basis of the time-series data.SELECTED DRAWING: Figure 1

Description

The present invention relates to a hitting analyzer, and more particularly to a hitting analyzer that analyzes the hitting of the hitting device.

Conventionally, the hitting device hits an object with a design value of 1800 to 3000 vpm, for example. If such a hitting device continues to be used, the number of hits may be lower than the design value due to wear of components, etc., and if it is lower, repairs, etc. to achieve the specified performance may be performed. You will need it.
Therefore, it is necessary to analyze whether or not the batter is properly hit.

As a device for determining the impact of such a striking device, the hydraulic pressure generated each time the striking by the breaker is accumulated in the accumulator via the check valve, and the pressure when the accumulated hydraulic pressure is saturated is measured. Has proposed a striking force determining device for determining the striking force of a breaker (see Patent Document 1).

JP-A-2015-001419

By the way, the hitting device continuously hits the object.
However, according to the hitting force determination device of Patent Document 1, although the hitting force of the breaker at a certain point in time can be determined by measuring the pressure when the accumulated hydraulic pressure is saturated, the hitting force that continuously hits the batter. It is not possible to analyze continuous impacts on the device.

It is an object of the present invention to provide a batter analyzer capable of analyzing a continuous batter in a batter device.

(1) A batter analyzer that analyzes the batter of a batter.
A measured value acquisition means for acquiring a measured value that fluctuates due to a hit in the hitting device at predetermined intervals, and
A time-series data generation means for generating time-series data showing a time-series variation of a plurality of the measured values continuously acquired at a predetermined interval as a waveform, and a time-series data generation means.
A striking analyzer comprising an amplitude spectrum generating means for generating an amplitude spectrum showing an cumulative value of amplitude for each frequency based on the time series data.

According to the configuration of (1) of the impact analyzer of the present invention, the impact analyzer includes a measured value acquisition means, a time series data generation means, and an amplitude spectrum generation means, and analyzes the impact of the impact analyzer. ..
The measured value acquisition means acquires measured values that fluctuate due to impact in the striking device at predetermined intervals.
The time-series data generation means generates time-series data showing the time-series fluctuations of a plurality of measured values continuously acquired at predetermined intervals in a waveform.
The amplitude spectrum generation means generates an amplitude spectrum showing the cumulative value of the amplitude for each frequency based on the time series data.

In this way, at predetermined intervals (for example, 5 ms, etc.), the measured values (for example, the pressure value due to the hitting, the measured value of the hitting force, etc.) that fluctuate due to the hitting in the hitting device are acquired.
Next, time-series data showing the time-series fluctuations of a plurality of measured values continuously acquired at predetermined intervals in a waveform is generated.
Then, based on the time-series data shown by this waveform, an amplitude spectrum showing the cumulative value of the amplitude for each frequency is generated.

Here, when a batter is hit in the hitting device, the vibration or the like generated by the hitting remains in the hitting device, and the next hit is performed with such vibration or the like remaining, resulting in more complicated vibration or the like. Then, this complicated vibration etc. appears in the measured value. Therefore, even if the measured values that fluctuate due to impact are continuously acquired at predetermined intervals and the time-series fluctuations are shown as waveforms, waves of various amplitudes are measured at various frequencies. With the obtained measurements, it is difficult to determine which wave was the effective impact.

According to the present invention, since the amplitude spectrum showing the cumulative value of the amplitude for each frequency is generated based on the time series data, the frequency having the largest cumulative value of the amplitude becomes clear. It can be inferred that the frequency with the highest cumulative amplitude is the effective striking cycle. For example, if the frequency with the highest cumulative amplitude is different between the one in the properly maintained batter and the one at the time of measurement, the batter at the time of measurement cannot hit properly. It becomes possible to judge.

Therefore, it is possible to provide a batter analysis device capable of analyzing a continuous batter in a batter device.

(2) The time-series data generation means generates the time-series data with a corrected measurement value obtained by subtracting the average value of the measurement values acquired by the measurement value acquisition means from the measurement value (1). The impact analyzer described.

This makes it possible to show the measured value as a positive value (value larger than the average value) and a negative value (value smaller than the average value) in the time series data, and analyze the change in the measured value as a waveform. It will be easier.

(3) Further provided with (1) or (2) or (2) or (2) or (2) ). The impact analyzer.

As a result, in the amplitude spectrum, the effective number of hits calculated from the frequency with the highest cumulative value and, for example, the number of hits by design (for example, in the case of a hitting device driven by the pressure fluctuation of the fluid, the number of pressure fluctuations). Etc.) and), it is possible to determine whether the appropriate number of hits is maintained in the hitting device at the time of measurement.

(4) A storage means for storing the amplitude spectrum generated by the amplitude spectrum generation means, and a storage means.
Further provided with a display control means for controlling the display of the amplitude spectrum generated by the amplitude spectrum generation means on the display means.
The storage means stores a plurality of the amplitude spectra generated at different timings from each other.
The impact analyzer according to any one of (1) to (3), wherein the display control means controls to superimpose and display a plurality of the amplitude spectra generated at different timings.

In this way, by displaying a plurality of amplitude spectra generated at different timings in an overlapping manner, for example, an amplitude spectrum immediately after maintenance and an amplitude spectrum after a predetermined inspection period (for example, one year later) can be displayed. By overlaying and displaying, the change in the cumulative value of the amplitude at the overall frequency can be confirmed in a list. Therefore, it becomes easy to analyze the continuous hitting in the hitting device.

INDUSTRIAL APPLICABILITY According to the present invention, it is possible to provide a hitting analyzer capable of analyzing continuous hitting in a hitting device.

It is a figure explaining the state which attached the batter analysis apparatus which concerns on embodiment of this invention to a batter apparatus. It is a figure explaining the functional structure of the impact analyzer 1 which concerns on embodiment of this invention. It is a figure which shows the hitting analysis processing flow executed by the hitting analysis apparatus which concerns on embodiment of this invention. It is a figure which shows the display example of the time series data which concerns on embodiment of this invention. It is a figure which shows the display example of the amplitude spectrum which concerns on embodiment of this invention. It is a figure explaining the state which attached the batter analysis apparatus which concerns on the modification of embodiment of this invention to a batter apparatus.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following description, the same configurations are designated by the same reference numerals, and the description thereof will be omitted or simplified.
FIG. 1 is a diagram illustrating a state in which a batter analyzer according to an embodiment of the present invention is attached to a batter device.

(overall structure)
The batter analysis device 1 includes a batter 5 that detects a batter of the batter 100, a control unit 10 that analyzes the batter of the batter 100, and a display means 20 that displays the analysis result of the control unit 10. The blow of the device 100 is analyzed.

Here, the hitting device 100 usually repeats hitting at 1800 to 3000 vpm, and when the hitting force is measured, all of them are not constant and repeat increasing and decreasing. However, the increase and decrease of the hitting force occurred periodically, and regularity was recognized.
Therefore, the impact analysis device 1 can analyze the impact of the impact device by acquiring the measured value that fluctuates due to the impact in the impact device 100 and analyzing the tendency of the fluctuation of the measured value based on the measured value. It is a thing.

The striking device 100 of the present embodiment continuously striking a cast product (not shown) set in the frame 110 by the striking portion 120 (in the example shown in FIG. 1, the piston inside the striking device 100). (Not shown) The piston collides with the striking portion 120 during descent due to the ascending / descending motion), so that the tip of the striking portion 120 continuously applies an impact load to the cast product to remove the core sand of the cast product. Remove.
In the example shown in FIG. 1, the detection unit 5 of the impact analysis device 1 is arranged at a position where the cast product is installed (a position where the impact is performed by the impact unit 120).

In the example shown in FIG. 1, the detection unit 5 includes a cylinder 51, a piston 52, a replaceable member 53, and a detection means 54.
The cylinder 51 is filled with an incompressible fluid.
The piston 52 is slidably attached to the cylinder 51, moves in a slidable direction by the striking portion 120 of the striking device 100, and transmits the pressure due to the striking by the striking portion 120 of the striking device 100 to the inside of the cylinder 51. ..
The replaceable member 53 is detachably attached to a portion to be hit by the hitting portion 120 of the piston 52, and is directly hit to the hitting portion 120. The replaceable member 53 is replaceable when it is deformed or worn by a blow.
The detection means 54 is fluidly connected to the inside of the cylinder 51, and is composed of a pressure sensor that constantly detects the pressure inside the cylinder 51.

With such a configuration, when a batter is hit by the hitting device 100, the hitting unit 120 hits (moves downward) the replaceable member 53 of the detection unit 5. The striking force due to this striking is transmitted to the piston 52, and the pressure of the incompressible fluid inside the cylinder 51 increases. Then, when the impact load is no longer applied to the striking portion 120 due to the rise of the piston (not shown) inside the striking device 100, the pressure applied to the piston 52 of the detecting portion 5 is released, and the inside of the cylinder 51 is released. The pressure of the incompressible fluid drops.

The detecting means 54 constantly detects such continuous pressure fluctuations of the incompressible fluid in the continuous striking by the striking device 100.

In the example shown in FIG. 1, the detection unit 5 is configured to measure the value fluctuating due to the impact of the impact device 100 by the pressure sensor, but the present invention is not limited to this, and the detection unit 5 is not limited to this, and the impact is caused by the impact of the impact device 100. If a fluctuating value can be measured, for example, an arbitrary configuration such as a configuration in which the striking force of the striking device 100 is measured by a load cell (strain gauge) or a configuration in which the state of the striking portion of the striking device 100 is measured by an acceleration sensor can be used. can do.

(Functional configuration)
FIG. 2 is a diagram illustrating a functional configuration of the impact analyzer 1 according to the embodiment of the present invention.
The control unit 10 includes a measurement value acquisition means 11, a time-series data generation means 12, an amplitude spectrum generation means 13, an effective hit count calculation means 14, a display control means 15, and a storage means 50, and detects them. The detection means 54 of the unit 5 and the display means 20 are connected.

The measured value acquisition means 11 is connected to the detection means 54 of the detection unit 5 and acquires measured values that fluctuate due to the impact of the impact device 100 at predetermined intervals. Specifically, the measured value acquiring means 11 converts the value which is an analog signal detected by the detecting means 54 into a digital signal, acquires the measured value, and stores it in the storage means 50.

The predetermined interval for acquiring the measured value in the measured value acquisition means 11 may be a preset interval or an interval set based on the number of hits set by the hitting device 100, which is equal to or less than the hitting interval of the hitting device 100. It is desirable that the interval is.
For example, when the number of hits of the hitting device 100 is set to 3000 vpm, the predetermined interval for acquiring the measured value by the measured value acquiring means 11 is 20 ms (the interval for measuring 50 (3000 vpm / 60) times or more per second). It is desirable that it is 1000 ms / 50 times or less).

The time-series data generation means 12 generates time-series data showing the time-series fluctuations of a plurality of measured values continuously acquired at predetermined intervals in a waveform. Specifically, the time-series data generation means 12 reads out a predetermined number of measured values continuously acquired at predetermined intervals stored in the storage means 50, and reads out the measured values. Time-series data showing the variation of the series as a waveform is generated and stored in the storage means 50.

Here, the amplitude spectrum generation means 13 generates an amplitude spectrum based on the time-series data generated by the time-series data generation means 12 by a known fast Fourier transform, so that the measured value read by the time-series data generation means 12 The predetermined number is preferably 2 to the nth power (for example, 256 pieces, 512 pieces, etc.).

Further, the time-series data generation means 12 generates time-series data with corrected measured values obtained by subtracting the average value of the measured values acquired by the measured value acquiring means 11 from the measured values. This makes it possible to remove the DC component of the measured value acquired by the measured value acquiring means 11 and analyze the frequency of the fluctuation of the continuously acquired measured value.

Further, the time-series data generation means 12 generates hanning processing data obtained by multiplying the time-series data by a known hanning function and stores it in the storage means 50. This improves the continuity of the waveform and improves the accuracy of data analysis.

The amplitude spectrum generation means 13 generates an amplitude spectrum showing an cumulative value of amplitude for each frequency based on the time series data generated by the time series data generation means 12. Specifically, the amplitude spectrum generation means 13 shows the cumulative value of the amplitude for each frequency by processing the time-series data or the Hanning-processed data generated by the time-series data generation means 12 by a known fast Fourier transform. An amplitude spectrum is generated and stored in the storage means 50.

The effective hitting number calculation means 14 calculates the effective hitting number per predetermined time of the hitting device by multiplying the frequency having the highest cumulative value of the amplitude by a predetermined value. Specifically, the effective hit count calculation means 14 refers to the amplitude spectrum generated by the amplitude spectrum generation means 13, specifies the frequency having the highest cumulative value, and hits the specified frequency at the frequency (Hz). The effective number of hits is calculated by multiplying by 60, which is the conversion rate to (vpm).
For example, the effective batter count calculation means 14 calculates 2100 vpm as the effective batter count when the frequency with the highest cumulative value is 35 Hz.

The display control means 15 stores the time-series data generated by the time-series data generation means 12, the amplitude spectrum converted by the amplitude spectrum generation means 13, and the effective hit count calculated by the effective hit count calculation means 14. It is controlled to read from the display means 20 (for example, a display or the like).
Further, the display control means 15 controls to superimpose and display a plurality of amplitude spectra converted at different timings by the amplitude spectrum generation means 13 stored in the storage means 50.

The storage means 50 temporarily stores the measured values acquired by the measured value acquiring means 11, the time-series data generated by the time-series data generating means 12, the amplitude spectrum generated by the amplitude spectrum generating means 13, and the like. , The effective number of hits calculated by the effective hit count calculation means 14 is stored.
Further, the storage means 50 stores the amplitude spectra generated by the amplitude spectrum generation means 13 at different timings from each other.

The above-mentioned functional configuration of the control unit 10 is merely an example, and one functional block (database and functional processing unit) may be divided, or a plurality of functional blocks may be collectively configured as one functional block. .. In each function processing unit, a CPU (Central Processing Unit) built in the device is stored in a storage device (storage means 50) such as a ROM (Read Only Memory), a flash memory, an SSD (Solid State Drive), and a hard disk. It is realized by a computer program that reads out a computer program (for example, core software or an application that causes the CPU to execute the above-mentioned various processes) and is executed by the CPU. That is, in each function processing unit, this computer program reads and writes necessary data such as a table from a database (DB; Data Base) stored in a storage device or a storage area on a memory, and is related in some cases. It is realized by controlling the hardware (for example, input / output device, display device, communication interface device). Further, the database (DB) in the embodiment of the present invention may be a commercial database, but it also means a mere collection of tables and files, and the internal structure of the database itself does not matter.

(Processing flow)
FIG. 3 is a diagram showing a hit analysis processing flow executed by the hit analysis device according to the embodiment of the present invention. In the processing flow chart (flow chart) of FIG. 3, the processing order of each step may be changed as long as the relationship between the input and the output of each step is not impaired.

In step S1, the measured value acquisition means 11 acquires measured values that fluctuate due to the impact of the impact device 100 at predetermined intervals.

In step S2, the time-series data generation means 12 generates time-series data showing the time-series variation of a plurality of measured values continuously acquired by the measured value acquisition means 11 at predetermined intervals in a waveform in step S1. It is stored in the storage means 50.

In step S3, the amplitude spectrum generating means 13 generates an amplitude spectrum showing the cumulative value of the amplitude for each frequency based on the time-series data generated by the time-series data generating means 12 in step S2, and stores it in the storage means 50. do.

In step S4, the effective hit count calculation means 14 refers to the amplitude spectrum generated by the amplitude spectrum generation means 13 in step S3, and multiplies the frequency having the highest cumulative value by a predetermined value to obtain the hitting device. Calculate the number of effective hits per predetermined time.

In step S5, the display control means 15 reads out the time-series data generated by the time-series data generation means 12 in step S2 and the amplitude spectrum converted by the amplitude spectrum generation means 13 in step S3 from the storage means 50 and displays them. Control to display on the means 20 (for example, a display or the like).

FIG. 4 is a diagram showing a display example of time-series data according to the embodiment of the present invention.
In the time-series data display example, the number (order) of the measured values continuously acquired by the measured value acquiring means 11 is set on the horizontal axis, and the size of each measured value is set on the vertical axis. Is shown by the set waveform.

For example, as shown in FIG. 4, the display control means 15 has different modes (for example, luminance, color, thickness, line type) between the time-series data and the Hanning processing data obtained by multiplying the time-series data by the Hanning function. Etc. may be displayed in different manners).

FIG. 5 is a diagram showing a display example of an amplitude spectrum according to an embodiment of the present invention.
In the display example of the amplitude spectrum, the frequency (Hz) is set on the horizontal axis, and the cumulative value of the amplitude for each frequency is set on the vertical axis.

For example, as shown in FIG. 5, the display control means 15 displays a plurality of amplitude spectra converted at different timings in different modes (for example, modes having different luminance, color, thickness, line type, etc.). It may be displayed in an overlapping manner.

(Modification example)
FIG. 6 is a diagram illustrating a state in which a batter analysis device according to a modified example of the embodiment of the present invention is attached to the batter device.

The impact analysis device 1A according to the modified example has a different configuration of the detection unit 5A from the impact analysis device 1 according to the present embodiment.
The detection unit 5A is a tubular body connected to a circuit of batter air for driving the batter unit 120 of the batter device 100, and is filled with the batter air and has the same internal pressure as in the circuit of the batter air. A unit 51A and a detection means 54 are provided.

The detecting means 54 constantly detects the continuous pressure fluctuation of the striking air in the continuous striking by the striking device 100.

The batter 120 of the batter 100 moves the internal piston (not shown) up and down by supplying the batter air to the inside, and the piston collides with the batter 120 when descending. The tip of the striking portion 120 continuously applies an impact load to the cast product. The area of this piston is different on the ascending side and the descending side, and by widening the area on the ascending side, when equal pressure is generated on both sides, the piston is raised by the difference in thrust. Next, in order to lower it, the internal mechanism stops the supply of hitting air to the ascending side at a fixed position and exhausts it. As a result, the thrust on the descending side prevails, and the piston descends. When it reaches the descending end (the position where it collides with the striking portion 120), the striking air is supplied again, and the piston repeatedly moves up and down.
That is, when the piston rises, the striking air flows into the exhausted rising side, so that a temporary pressure drop occurs for each striking.

According to the impact analysis device 1A according to the modified example, it is possible to analyze the continuous impact in the impact device 100 by analyzing such pressure fluctuations.

Further, according to the batter analysis device 1A according to the modified example, since the continuous batter in the batter 100 can be analyzed while the batter 100 is normally used, the environment where it is difficult to stop the equipment such as the factory line, and the environment where it is difficult to stop the equipment. Even in an automated environment, the batter of the batter 100 can be analyzed.

As described above, according to the impact analyzer 1 according to the present embodiment, the following effects are exhibited.
According to the batter analysis device 1, measured values (for example, pressure value due to hitting, measured value of hitting force, etc.) that fluctuate due to hitting in the hitting device 100 are acquired at predetermined intervals (for example, 5 ms or the like).
Next, time-series data showing the time-series fluctuations of a plurality of measured values continuously acquired at predetermined intervals in a waveform is generated.
Then, based on the time-series data shown by this waveform, an amplitude spectrum showing the cumulative value of the amplitude for each frequency is generated.
As a result, an amplitude spectrum showing the cumulative value of the amplitude for each frequency is generated based on the time series data, so that the frequency having the largest cumulative value of the amplitude becomes clear. It can be inferred that the frequency with the highest cumulative amplitude is the effective striking cycle. For example, if the frequency with the highest cumulative amplitude is different between the frequency in the properly maintained batter 100 and the one at the time of measurement, the batter 100 at the time of measurement can properly perform the batter. It is possible to determine that there is no such thing.
Therefore, it is possible to provide a batter analyzer capable of analyzing continuous batters in the batter 100.

Further, according to the impact analyzer 1, the time-series data generation means 12 generates time-series data with corrected measurement values obtained by subtracting the average value of the measurement values acquired by the measurement value acquisition means 11 from the measurement values. Therefore, in the time series data, it is possible to show the measured value as a positive value (value larger than the average value) and a negative value (value smaller than the average value), and it is easy to analyze the change of the measured value as a waveform. Become.

Further, according to the impact analyzer 1, the effective impact count calculated from the frequency having the highest cumulative value in the amplitude spectrum and, for example, the design impact count (for example, the impact device driven by the pressure fluctuation of the fluid). If it is 100, it is possible to determine whether or not the appropriate number of hits is maintained in the hitting device 100 at the time of measurement by comparing with the number of pressure fluctuations and the like).

Further, according to the impact analyzer 1, by displaying a plurality of amplitude spectra generated at different timings in an overlapping manner, for example, the amplitude spectrum immediately after maintenance and after a predetermined inspection period (for example, one year later) are displayed. By displaying the amplitude spectrum of etc.) on top of each other, the change in the cumulative value of the amplitude over the entire frequency can be confirmed in a list. Therefore, the continuous hitting analysis in the hitting device 100 becomes easy.

The present invention is not limited to the above-described embodiment, and modifications, improvements, and the like to the extent that the object of the present invention can be achieved are included in the present invention.

1, 1A Batter analyzer 5, 5A Detection unit 10 Control unit 11 Measured value acquisition means 12 Time series data generation means 13 Amplitude spectrum generation means 14 Effective hit count calculation means 15 Display control means 20 Display means 50 Storage means 51 Cylinder 51A connection Part 52 Piston 53 Replaceable member 54 Detection means 100 Battering device 110 Frame 120 Battering part

Claims (4)

A batter analyzer that analyzes the batter of a batter.
A measured value acquisition means for acquiring a measured value that fluctuates due to a hit in the hitting device at predetermined intervals, and
A time-series data generation means for generating time-series data showing a time-series variation of a plurality of the measured values continuously acquired at a predetermined interval as a waveform, and a time-series data generation means.
A striking analyzer comprising an amplitude spectrum generating means for generating an amplitude spectrum showing an cumulative value of amplitude for each frequency based on the time series data. The impact according to claim 1, wherein the time-series data generation means is a corrected measurement value obtained by subtracting the average value of the measurement values acquired by the measurement value acquisition means from the measurement value to generate the time-series data. Analysis equipment. The batter according to claim 1 or 2, further comprising an effective batter number calculation means for calculating the effective number of batters per predetermined time of the batter device by multiplying the frequency having the highest cumulative value by a predetermined value. Analysis equipment. A storage means for storing the amplitude spectrum generated by the amplitude spectrum generation means, and a storage means.
Further provided with a display control means for controlling the display of the amplitude spectrum generated by the amplitude spectrum generation means on the display means.
The storage means stores a plurality of the amplitude spectra generated at different timings from each other.
The impact analyzer according to any one of claims 1 to 3, wherein the display control means controls to superimpose and display a plurality of the amplitude spectra generated at different timings.

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