KR102318967B1 - Signal processing system for a measuring displacement amount and a improving displacement data error and Drive method of the Same - Google Patents

Abstract

The present invention discloses a measurement control technique. That is, a signal processing system for measuring the displacement amount and improving the displacement data error and a driving method thereof according to the embodiment of the present invention correct an accumulated error of the measurement data obtained from the measurement sensor through FFT and LPF executed over 1st and 2nd orders. Thus, signal processing is performed so that high-quality measurement data can be clearly transmitted from an output terminal and a receiving terminal. The present invention includes an accumulative displacement data measurement unit; an A/D conversion unit; a fast Fourier transform unit; a first digital low-pass filter unit; a noise canceling unit; a second digital low-pass filter unit; a D/A conversion unit; and a measurement data output unit.

Description

Signal processing system for a measuring displacement amount and a improving displacement data error and Drive method of the Same

The present invention relates to measurement and control technology, and in particular, by correcting the accumulated error of measurement data obtained from measurement sensors through FFT and LPF that is executed over the 1st and 2nd orders, high-quality measurement data is transmitted from the output terminal and the receiving-side communication terminal. It relates to a signal processing system for measuring the amount of displacement and improving the error of displacement data that processes signals so that they can be transmitted cleanly, and a driving method thereof.

Demand for precise linearity of amplifiers, particularly power amplifiers, is increasing along with high-speed and large-capacity wireless communication. However, in power amplifiers, input power has a trade-off relation between linearity and efficiency. That is, when the input signal is small, the linearity and efficiency are high, and when the input signal is large, the linearity and the efficiency are low. Accordingly, techniques for compensating for nonlinearity of a power amplifier have been proposed to achieve high linearity and high efficiency even when an input signal is large.

Techniques for compensating for nonlinearity of a conventional power amplifier are known techniques such as a negative feedback method, a feedforward method, and an analog pre-distortion method for compensating for nonlinearity at an analog signal stage. A digital pre-distortion method of estimating the characteristics of a power amplifier using digital signal processing and applying inverse distortion to a digital signal in advance is attracting attention.

Since the operating state of the power amplifier changes according to the surrounding environment and the characteristics of the amplified signal, a compensation value used to compensate the amplitude characteristic and the phase characteristic in order to secure the linearity of the power amplifier or The compensation factor needs to be updated. However, since updating the compensation value or compensation coefficient involves power consumption, a technique for realizing linearity and low power consumption of the power amplifier is required.

Conventionally, a method of measuring phase noise is known in order to check the frequency stability of a signal source such as an oscillator. In addition, as a method of measuring the phase noise of an oscillator that requires high frequency stability, such as an oscillator used in a communication device, the quadrature phase detection method is generally used. In the quadrature phase detection method, the output of the oscillator to be inspected and the output of the reference oscillator (voltage controlled oscillator), which is lower in noise than the oscillator, are supplied to the mixer. At this time, the phase difference between the test target oscillator and the reference oscillator is adjusted to 90 degrees by controlling the control voltage of the PLL circuit. Then, the sum of the noise components of the oscillator and the reference oscillator is supplied to the FFT analyzer through a low-pass filter (LPF), and the phase noise of the oscillator to be inspected is measured. Further, the result of analysis by the FFT analyzer, that is, the phase noise characteristic of the oscillator is displayed on the display screen of the personal computer (PC).

Also, in general, in the fault signal diagnosis system, when the ESR value of the electrolytic capacitor is about twice or more than the normal value as the deterioration progresses, the fault determination technique for judging the start of an abnormal symptom is largely ineffective. Afroz M Imam performs frequency analysis (FFT) on the pulsating component voltage/current signal of the capacitor in the model of the DC/DC converter after signal processing with a bandpass filter (hereinafter referred to as 'BPF') for a specific switching frequency range. Thus, a technique for estimating capacitor ESR has been proposed, but this has the disadvantage that it is very difficult to implement and process the BPF on-line.

After passing each capacitor's pulsating voltage/current signal through the BPF, a method of estimating the capacitor ESR by RLS (recursive least squares) signal processing and RMS operation processing was proposed.

However, in the ESR value estimation method, the pulsating current and voltage signals for the capacitor are passed through the BPF and then the signal is processed appropriately. In this method, it is difficult to recognize in advance a specific switching frequency for each power converter to be diagnosed in order to determine the correct center frequency of the BPF. In addition, this method has many problems in implementation, such as setting the coefficients of the filter and considering the temperature characteristics.

Korean Patent Publication No.: 10-2007-0023575 Korean Patent Publication No.: 10-2011-0133513 Korean Patent Publication No.: 10-2009-0020659 Korean Patent Registration No.: 10-1578834-0000

A first object of the present invention is to correct the accumulated error of the measurement data obtained from the measurement sensor through the FFT and the LPF that is executed over the 1st and 2nd order, so that high-quality measurement data can be transmitted cleanly from the output terminal and the receiving-side communication terminal. This is for signal processing.

A second object of the present invention is to simultaneously check the displacement pattern for each part measured from at least one measurement sensor installed in a maintenance structure, and to eliminate errors due to high frequency and integral calculation existing in the measurement displacement data of at least one measurement sensor. This is to provide an optimal system for measuring displacement amount and improving displacement data error by applying an improved correction technique.

The present invention for achieving the above object includes the following configuration.

That is, the signal processing system for measuring displacement amount and improving displacement data error according to an embodiment of the present invention is from at least one measurement sensor installed in a bridge, railway, dam, road, or maintenance structure including a large structure through a wired/wireless communication network. a cumulative displacement data measuring unit for accumulating and checking the acquired analog signal and measured displacement data, which is a displacement amount, in real time; an A/D converter for controlling ON-OFF operation power of the cumulative displacement data measuring unit and converting the measured displacement data into measured discrete data that is a digital signal; a fast Fourier transform unit for generating measured FFT data by performing FFT (Fast Fourier Transform) so that the measured discrete data is analyzed in the frequency domain out of the time domain; a first digital low-pass filter unit for generating first measured LPF data by removing a first high frequency component included in the measured FFT data with a first LPF filter; a noise removing unit removing RMS noise included in the first measured LPF data to generate first measured LPF clear data; a second digital low-pass filter unit configured to generate the second measured LPF data by removing a second high frequency component automatically generated in the first measured LPF clear data with a second LPF filter during the RMS noise removal operation; a D/A converter for D/A-converting the second measured LPF data to generate second final measured data that is an analog signal; and a measurement data output unit for outputting first final measurement data obtained by removing parasitic crosstalk noise in the second measurement LPF data to the outside through a wired/wireless communication network.

In addition, the driving method of the signal processing system for measuring the displacement amount and improving the displacement data error according to the embodiment of the present invention includes at least one accumulated displacement data measurement unit installed in a bridge, railway, dam, road, or maintenance structure including a large structure. Accumulating and checking in real time measurement displacement data, which is an analog signal and displacement amount, obtained from a measurement sensor of An A/D conversion unit controlling ON-OFF operation power of the cumulative displacement data measuring unit, and converting the measured displacement data into measured discrete data that is a digital signal; generating, by a fast Fourier transform unit, FFT (Fast Fourier Transform) data so that the measured discrete data is analyzed in the frequency domain out of the time domain; generating first measured LPF data by a first digital low-pass filter unit removing a first high frequency component included in the measured FFT data with a first LPF filter; generating first measured LPF clear data by a noise removing unit removing RMS noise included in the first measured LPF data; generating the second measured LPF data by a second digital low-pass filter unit removing a second high frequency component automatically generated in the first measured LPF clear data with a second LPF filter during the RMS noise removal operation; D/A conversion unit D/A converting the second measurement LPF data to generate second final measurement data that is an analog signal; and outputting, by the measurement data output unit, the first final measurement data obtained by removing parasitic crosstalk noise in the second measurement LPF data to the outside through a wired/wireless communication network.

The signal processing system for measuring the displacement amount and improving the displacement data error of the present invention and the driving method thereof correct the accumulated error of the measurement data obtained from the measurement sensor through the FFT and the LPF that is executed over the first and second orders, thereby providing high-quality measured data Gives the first effect of signal processing so that the output terminal and the receiving-side communication terminal can receive the signal cleanly.

The present invention can simultaneously check the displacement pattern for each part measured from at least one measurement sensor installed in a maintenance structure, and a correction technique for improving the error due to the high frequency and integral calculation existing in the measurement displacement data of at least one measurement sensor is applied to give the second effect of providing an optimal system for measuring displacement and improving displacement data error.

1 is a diagram illustrating a signal processing system for measuring displacement amount and improving displacement data error according to an embodiment of the present invention.
2 is a diagram illustrating a signal processing system for measuring a displacement amount and improving displacement data error according to an embodiment of the present invention.
3 is a graph illustrating first measured LPF clear data generated by RMS removal of a noise removing unit in a signal processing system for measuring displacement and improving displacement data error according to an embodiment of the present invention.
4 is a graph showing the first measurement clear data from which the accumulated error is removed by the slope correction unit in the signal processing system for measuring the displacement amount and improving the displacement data error according to the embodiment of the present invention.
5 is a flowchart illustrating a method of driving a signal processing system for measuring a displacement amount and improving a displacement data error according to an embodiment of the present invention.

[Example]

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a signal processing system for measuring displacement amount and improving displacement data error according to an embodiment of the present invention.

Referring to FIG. 1 , the signal processing system 2000 for measuring the displacement amount and improving the displacement data error corrects the accumulated error of the measurement data obtained from the measurement sensor 100 through the FFT and the LPF that is executed over the first and second orders. , a system for signal processing so that high-quality measurement data can be transmitted cleanly from the output terminal and the receiving-side communication terminal (including for administrators, 1100), at least one measurement sensor 100, a cumulative displacement data measurement unit 200, A /D conversion unit 250, fast Fourier transform unit 300, first digital low-pass filter unit 350, noise removal unit 400, second digital low-pass filter unit 450, D/A conversion unit 500 and a measurement data output unit 550 .

The signal processing apparatus 1000 for measuring the displacement amount and improving the displacement data error of the present invention includes a cumulative displacement data measurement unit 200, an A/D conversion unit 250, a fast Fourier transform unit 300, and a first digital low-pass filter. It will be referred to as a device including a unit 350 , a noise removal unit 400 , a second digital low-pass filter unit 450 , a D/A conversion unit 500 , and a measurement data output unit 550 .

First, the cumulative displacement data measuring unit 200 of the signal processing apparatus 1000 for measuring the displacement amount and improving the displacement data error is at least one installed in a bridge, railway, dam, road, or maintenance structure 50 including a large structure. The measured displacement data, which is an analog signal and displacement amount obtained from the measurement sensor 100 through a wired/wireless communication network, is accumulated and checked in real time.

Here, it is noted that the at least one measurement sensor 100 includes an accelerometer, a speedometer, a satellite navigation system, a strain gauge, an expansion joint, a length displacement gauge, and a wind direction anemometer.

In addition, at least one measurement sensor 100 receives a time sync from the accumulated displacement data measurement unit 200 before transmitting the measurement displacement data through a CAN communication network, which is one of the wired and wireless communication networks, and performs its own RTC (Real Time Clock) to match the clock cycle from the asynchronous state to the synchronized state.

Through this, the at least one measurement sensor 100 according to the embodiment of the present invention synchronizes the generation time of the measurement displacement data and the reception time of the measurement displacement data received by the accumulated displacement data measurement unit 200 to obtain the measurement displacement data. Measurement time error is eliminated.

The A/D conversion unit 250 controls the ON-OFF operation power of the cumulative displacement data measurement unit 200, and as can be seen from [Equation 1], the measured displacement data is converted into a digital signal, the measured discrete data. do.

: 계측 변위 데이터step,

: Measurement displacement data

: 계측 이산 데이터

: Measurement discrete data

The fast Fourier transform unit 300 performs frequency transformation with DTFT (Discrete-Time Fourier Transform) among FFT (Fast Fourier Transform) as can be seen from [Equation 2] so that the measured discrete data is interpreted in the frequency domain out of the time domain. As it executes, it generates metrology FFT data.

In general, the reason for FFT (Fast Fourier Transform) is that all analog signals can be analyzed in the frequency domain by using an A/D (Analog to Digital) converter. Signals having intrinsic magnitudes in frequency may be divided into several.

To give a simple example of implementing FFT, Mr. Kim, who lives on the third floor of a townhouse, has a very old washing machine that rattles and makes a very unpleasant noise. This phenomenon was attached to the washing machine using an accelerometer (a kind of vibration sensor), received a vibration signal, and this signal was generated as an electrical signal through the accelerometer, and frequency analysis was performed through an FFT analyzer. Then, 0.5g (the magnitude of vibration) in the 1kHz region, 5g in the 2kHz region, and 1g in the 3kHz region came out.

Then, it can be seen that the highest vibration occurs in the 2kHz region, and if a washing machine part having a natural frequency of 2kHz is found, this part can be found as the main cause of the washing machine vibration.

step,

: 계측 FFT 데이터

: Measurement FFT data

Performed with DTFT (Discrete-Time Fourier Transform) during FFT

The first digital low-pass filter unit 350 removes the first high-frequency component included in the measured FFT data with the first LPF filter, as can be seen in [Equation 3], to generate the first measured LPF data.

step,

: 제 1 계측 LPF 데이터

: 1st measurement LPF data

As can be seen from FIG. 2 , the signal processing system 2000 for measuring the displacement amount and improving the displacement data error according to the embodiment of the present invention reduces the delay time at which the first measured LPF data is transmitted to the noise removing unit 400 . and an FIR filter 370 that does not generate a phase shift.

It will be said that the FIR filter 370 is installed between the first digital low-pass filter unit 350 and the noise removal unit 400 .

Subsequently, the noise removing unit 400 of the present invention rapidly removes the RMS noise included in the first measured LPF data transmitted directly through the FIR filter 370 as shown in Figure 3 without a delay time, thereby making the first measured LPF Generate clear data.

That is, the noise removing unit 400 is the ^RMS noise (root mean square) expressed as a root mean square of the signal-to-noise ratio (Vs/Vn RMS or SNR (signal-to-noise ratio)) recognized from the first measured LPF data. Vn ^RMS ) is set to be 1 to 20 times smaller than the signal strength (S) ^{to subtract the RMS noise (Vn RMS} ) contained in the first measured LPF data to generate the first measured LPF clear data. See 4>

의 세기, Vn^RMS : RMS 노이즈However, Vs:

Intensity of, Vn ^RMS : RMS noise

In addition, the signal processing system 2000 for measuring displacement amount and improving displacement data error according to another embodiment of the present invention corrects the slope of the first measured LPF clear data Yn after removing the RMS noise and before removing the second high frequency component. In accordance with the implementation, it will be said that the system is configured to further include a slope correction unit 420 that removes the accumulated error so that the slope of the slope is corrected to 0.01 to 0.5.

As can be seen from Figure 4 and [Equation 5], the slope correction unit 420 reflects the first measured LPF clear data (Yn) in the slope correction equation derived from the equation of the straight line to remove the accumulated error (in other words, , the first measured LPF clear data (Zn) obtained by removing the slope value generated by the integration calculated during the first high-frequency filtering) is generated and transmitted to the second digital low-pass filter unit.

; derived from the equation of a straight line

Slope Correction Equation to Eliminate Cumulative Errors

step,

Y _n : nth first measurement LPF clear data

Z _n : nth first measurement LPF clear data from which accumulated error is removed

Here, the n-th first measurement clear data Zn is input to the following second digital low-pass filter unit 450, and then the second high-frequency component remaining therein is removed by the second LPF filter, so that the second measurement Note that it is created as LPF data.

That is, after the RMS noise removal operation, the second digital low-pass filter unit 450 removes the second high-frequency component automatically generated in the first measured LPF clear data with the second LPF filter, as shown in [Equation 6]. , generate second measurement LPF data.

: 제 2 계측 LPF 데이터

: Second measurement LPF data

In addition, as shown in [Equation 7], the D/A conversion unit 500 D/A-converts the second measured LPF data to generate second final measured data that is an analog signal.

The D/A conversion unit 500 also serves to apply the driving power of the modem connected to the at least one measurement sensor 100 and the measurement data output unit 550 .

: 제 2 최종 계측 데이터step,

: 2nd final measurement data

The measurement data output unit 550 transmits the first final measurement data from which crosstalk noise is removed in the second measurement LPF data to a wired/wireless communication network<mainly, wired: 485 serial, wireless: CAN and LORA communication protocol method is adopted Use> to output it externally.

Here, the crosstalk noise refers to an unnecessary interference phenomenon generated by energy coupling between signal transmission paths.

In addition, the control unit 600 of the signal processing system 200 for measuring the displacement amount and improving the displacement data error accumulates and checks the error between the measured displacement data and the first and second final measured data by minute/hour/day/month/year, and the error When an error value smaller than the average value of minutes is generated in a repeated or periodic pattern, a complete inspection command signal for occurrence of a system defect is generated and immediately transmitted to the manager communication terminal 1100 .

5 is a flowchart illustrating a method of driving a signal processing system for measuring a displacement amount and improving a displacement data error according to an embodiment of the present invention.

Referring to FIG. 5 , the driving method of the signal processing system for measuring the displacement amount and improving the displacement data error corrects the accumulated error of the measurement data obtained from the measurement sensor through the FFT and the LPF that is executed over the 1st and 2nd order, so that high quality It is a signal processing method so that the measurement data can be clearly transmitted from the output terminal and the receiving terminal.

First, the cumulative displacement data measurement unit checks the measured displacement data, which is an analog signal and displacement amount, obtained through a wired/wireless communication network from at least one measurement sensor installed in a bridge, railway, dam, road, or maintenance structure including a large structure, in real time. do (S100).

The A/D conversion unit controls the ON-OFF operation power of the cumulative displacement data measuring unit, and converts the measured displacement data into measured discrete data that is a digital signal (S200).

The fast Fourier transform unit generates the measured FFT data by performing FFT (Fast Fourier Transform) so that the measured discrete data is analyzed in the frequency domain out of the time domain (S300).

The first digital low-pass filter unit generates the first measured LPF data by removing the first high-frequency component included in the measured FFT data with the first LPF filter ( 400 ).

The noise removing unit removes RMS noise included in the first measured LPF data to generate first measured LPF clear data ( 500 ).

After the RMS noise removal operation, the second digital low-pass filter unit generates second measured LPF data by removing the second high frequency component automatically generated in the first measured LPF clear data with the second LPF filter ( 600 ).

The D/A conversion unit D/A converts the second measured LPF data to generate second final measured data that is an analog signal ( 700 ).

The measurement data output unit outputs the first final measurement data from which crosstalk noise is removed from the second measurement LPF data to the outside through a wired/wireless communication network ( 800 ).

The present invention is not limited to the described embodiments, and it is apparent to those skilled in the art that various modifications and variations can be made without departing from the spirit and scope of the present invention. Accordingly, it should be said that such variations or modifications fall within the scope of the claims of the present invention.

2000 : Signal processing system for measuring displacement and improving displacement data error
1000: Signal processing device for measuring displacement and improving displacement data error
100: measurement sensor
200: cumulative displacement data measurement unit 250: A/D conversion unit
300: fast Fourier transform unit 350: first digital low-pass filter unit
370: FIR filter 420: tilt correction unit
400: noise removing unit 450: second digital low-pass filter unit
500: D/A conversion unit 550: measurement data output unit
1100: manager communication terminal

Claims (8)

A cumulative displacement data measurement unit for accumulating and checking in real time the measured displacement data, which is an analog signal and displacement amount, obtained from at least one measurement sensor installed on a bridge, railway, dam, road, or maintenance structure including a large structure through a wired/wireless communication network;
an A/D converter for controlling ON-OFF operation power of the cumulative displacement data measuring unit and converting the measured displacement data into measured discrete data that is a digital signal;
a fast Fourier transform unit for generating measured FFT data by performing FFT (Fast Fourier Transform) so that the measured discrete data is analyzed in the frequency domain out of the time domain;
a first digital low-pass filter unit for generating first measured LPF data by removing a first high frequency component included in the measured FFT data with a first LPF filter;
a noise removing unit removing RMS noise included in the first measured LPF data to generate first measured LPF clear data;
a second digital low-pass filter unit configured to generate second measured LPF data by removing a second high frequency component automatically generated in the first measured LPF clear data after the RMS noise removal operation with a second LPF filter;
a D/A converter for D/A-converting the second measured LPF data to generate second final measured data that is an analog signal; and
Displacement measurement and displacement data error improvement signal processing system including a measurement data output unit for outputting the first final measurement data from which the parasitic crosstalk noise in the second measurement LPF data is removed to the outside through a wired/wireless communication network.
According to claim 1, wherein the measurement sensor,
A signal processing system for measuring displacement and improving displacement data error, characterized in that it includes an accelerometer, a speedometer, a satellite navigation system, a strain gauge, an expansion joint, a length displacement gauge, and a wind direction anemometer.
The method of claim 1,
After removing the RMS noise, before removing the second high frequency component,
The first measurement clear data (Yn) further comprises a slope correction unit for removing the accumulated error so that the slope of the slope is corrected to 0.01 to 0.5 as the slope is corrected for the target,
The slope correction unit reflects the first measurement clear data Yn to a slope correction equation derived from the equation of a straight line to generate the first measurement clear data Zn from which the accumulated error is removed, and then the second digital low-pass Signal processing system for measuring displacement amount and improving displacement data error, characterized in that it is transmitted to the filter unit.
The method of claim 1,
The signal processing system for measuring the amount of displacement and improving the error of the displacement data according to claim 1, further comprising an FIR filter that shortens a delay time at which the first measured LPF data is transmitted to the noise removing unit and does not generate a phase shift.
The method of claim 1, wherein the noise removing unit,
^{RMS noise (Vn RMS} ) expressed as a root mean square among the signal-to-noise ratio ^{(Vs/Vn RMS} or SNR (signal-to-noise ratio)) recognized from the first measured LPF data is calculated as the signal strength ( S) by setting it to be 1 to 20 times smaller than the first measured LPF data, and the RMS noise (Vn ^RMS ) contained in the first measured LPF data is subtracted.
The method of claim 1,
When the error amount between the measured displacement data and the first and second final measured data is accumulated by minutes/hours/days/months/years and an error value smaller than the average value of the error is generated in a repeated or periodic pattern, the system Displacement measurement and displacement data error improvement signal processing system, characterized in that it further comprises a control unit that generates a complete inspection command signal for the occurrence of a defect and immediately transmits it to the manager communication terminal.
The method of claim 1,
The at least one measurement sensor receives a time sync from the cumulative displacement data measurement unit before transmitting the measurement displacement data through a CAN communication network, which is one of the wired and wireless communication networks, and sets its own RTC (Real Time Clock) in an unsynchronized state. By synchronizing the clock period to a state of synchronization,
The generation time of the measurement displacement data measured by the at least one measurement sensor and the reception time of the measurement displacement data received by the cumulative displacement data measurement unit are synchronized, so that the measurement time error of the measurement displacement data is eliminated. A signal processing system for measuring displacement and improving displacement data error.
A step of cumulatively checking, in real time, the measured displacement data, which is an analog signal and displacement, obtained through a wired/wireless communication network from at least one measurement sensor installed in a maintenance structure including a bridge, railway, dam, road, or large structure by the cumulative displacement data measurement unit ;
An A/D conversion unit controlling ON-OFF operation power of the cumulative displacement data measuring unit, and converting the measured displacement data into measured discrete data that is a digital signal;
generating, by a fast Fourier transform unit, FFT (Fast Fourier Transform) data so that the measured discrete data is analyzed in the frequency domain out of the time domain;
generating first measured LPF data by a first digital low-pass filter unit removing a first high frequency component included in the measured FFT data with a first LPF filter;
generating first measured LPF clear data by a noise removing unit removing RMS noise included in the first measured LPF data;
after the RMS noise removal operation, a second digital low-pass filter unit removes a second high frequency component automatically generated in the first measured LPF clear data with a second LPF filter to generate second measured LPF data;
D/A conversion unit D/A converting the second measurement LPF data to generate second final measurement data that is an analog signal; and
Displacement measurement and displacement data error improvement signal processing system comprising the step of outputting, by a measurement data output unit, first final measurement data from which crosstalk noise is removed in the second measurement LPF data to the outside through a wired/wireless communication network driving method.

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