KR20110037661A - System and method for monitoring third party damage using time data filtering - Google Patents

Abstract

PURPOSE: A system and method for monitoring third party damage using time data filtering are provided to shorten calculation time. CONSTITUTION: Acceleration sensors(311,312) are installed on a gas pipe at a fixed interval to collect signals. Band pass filters(321,322) filter only the signals which belong to a fixed frequency band. Amplifiers(331,332) amplify filtered signals. A/D converters(341,342) convert the amplified signals into digital signals. A CPU(351) recognizes strikes due to third party damage using the digital signals.

Description

Third-party monitoring system and method using time data filtering {system and method for monitoring third party damage using time data filtering}

The present invention relates to a system and method for monitoring third-party construction using time data filtering. More specifically, the present invention relates to a third-party construction by sensing a signal generated from the outside, filtering only a predetermined frequency band therefrom, and calculating a signal-to-noise ratio. A system and method for monitoring are provided.

In general, since the 1950s, a convenient and economical method of transporting energy sources has been widely used as a transportation method, and many energy sources have been made through piping that is easy to transport remotely. Buried pipelines used for transporting natural gas among these pipes can cause large accidents such as gas leakage or explosion due to breakage due to the wide range of buried pipes and their installation in densely populated areas.

According to the analysis of recent data, natural gas buried pipeline damage is not directly caused by pressure change or corrosion inside the pipe, but is directly affected by drilling equipment during civil work around the pipe (hereinafter referred to as "Third-Party Damage"). Is a greater risk factor. Third-party construction is not only a major cause of pipe breakage, but also the provision of countermeasures is essential in view of the enormous amount of economic and human damage that can be caused, especially in the event of an accident.

Therefore, as part of the countermeasures to prevent damage to the pipes caused by other constructions, the applicant of the present invention monitors the impact applied to the gas pipes in real time using wired / wireless data communication networks and displays them so that the supervisor can recognize them. Patent application for gas piping monitoring system that can prevent accidents by generating a signal and registered under patent No. 402685 (name of invention: real-time damage detection monitoring system of buried piping by other construction and impact location of gas piping) Calculation method).

However, since the prior patent No. 402685 determines the occurrence of other construction according to the result of comparing the magnitude of the detection signal detected by the acceleration sensor with a predetermined reference value, the noise due to the outside or interference caused by the external There was a problem that the reliability of the judgment result is significantly lowered.

In order to solve this problem, the applicant of the present invention has applied for a patent for a third-party monitoring method by analyzing the frequency spectrum density in a predetermined frequency band in the sensed signal from the acceleration sensor by frequency spectrum density analysis to determine whether other constructions occur. Filed under No. 2005-0129958.

1 is a schematic block diagram of a conventional third-party monitoring system.

Referring to FIG. 1, when an impact is applied to the gas pipe 10, the shock wave propagates in both directions through the gas of the pipe. In view of this, the conventional third-party monitoring system includes a pipe on both edges of the gas pipe 10. An amplifier and a band filter 40 for amplifying and filtering a signal detected by the acceleration sensors A and B (20, 30) in a state where the acceleration sensors A and B (20, 30) are installed to detect a shock, A signal processor 50 for converting an analog signal passed through the amplifier and the bandpass filter 40 into a digital signal having a corresponding size, that is, A / D conversion, to trigger and wirelessly transmit / receive the triggered signal in real time. Monitor displaying the analysis results processed by the data analysis processor 70 and the data analysis processor 70 to analyze the data received through the modem 60, the wireless modem 60 in real time to analyze the occurrence of other construction 80 and perforation In the event it is configured to include an alarm 90 to alert them.

The shock signals detected by the acceleration sensors A and B 20 and 30 are transmitted to the data analysis processor 70 through the amplifier and the bandpass filter 40, the signal processor 50, and the wireless modem 60. The data analysis processor 70 compares the shock signal data of both sections, and if it is determined that another construction has occurred, the data analysis processor 70 alerts the manager through an alarm 90 and based on the time difference when the shock signal data of both sections arrives. After calculating the impact position, the monitor 80 is notified to the administrator.

2 is an operation flowchart of a third-party monitoring method using a conventional frequency spectrum density analysis.

First, in step S10, it is determined whether a detection signal is input from the acceleration sensor. If no input signal is detected, the process returns to step S10. If the input signal is input, the process proceeds to step S12. Processing will be performed. Next, in step S14, the PSD and the CSD are calculated for the frequency signal FFT processed in step S12, and in step S16, the dominant frequency of the PSDs of two adjacent points where the acceleration sensors are installed is determined in advance. It is determined whether it is in the frequency range.

As a result of the determination in step S16, if the dominant frequencies of the PSDs of two adjacent points where the acceleration sensors are installed do not belong to the predetermined reference frequency range, the process proceeds to step S22 to determine that the noise is not a signal by another construction. If this is ignored, the process proceeds to step S18 again to determine whether the dominant frequency of the CSD of two adjacent points falls within a predetermined reference frequency range.

As a result of the determination in step S18, if the dominant frequency of the CSD of two adjacent points does not belong to the predetermined reference frequency range, the process proceeds to step S22, where it is determined that the noise is not a perforated signal, and it is ignored and belongs. In step S20 to proceed to determine that the signal by the other construction is to generate an alarm.

However, the third-party monitoring method based on the frequency spectrum density analysis converts the shock signal detected by the acceleration sensor into a frequency through FFT (Fast Fouier Transform), and compares it with a predetermined reference value for each frequency section. Because it determines whether the construction occurs, the software and calculation time for executing the FFT is long, and the system has a complicated problem.

An object of the present invention, which is designed to solve the above-mentioned problems of the prior art, is to filter out a predetermined frequency band among the detection signals detected by the acceleration sensor, and then use other time data filtering to determine whether a perforation occurs directly in the time domain. To provide a construction monitoring system and method.

The third-party monitoring system using time data filtering according to the present invention for achieving the above object is an acceleration sensor installed at a predetermined interval in the gas pipe to collect a signal, and only a predetermined frequency band of the signals collected by the acceleration sensor A band-pass filter for filtering, an amplifier for amplifying the bandpassed signal, an A / D converter for digitally converting the signal amplified by the amplifier, and a signal-to-noise ratio of the digital signal output from the A / D converter And a CPU for recognizing a blow caused by another construction, and an alarm & buzzer for generating an alarm sound under the control of the CPU when it is determined that the blow due to the other construction is performed in the CPU.

In addition, the third-party monitoring method using the time data filtering according to the present invention, the band pass filtering step of filtering only a predetermined frequency band of the received signal, and calculates the signal-to-noise ratio of the band-pass filtered signal compared with the first reference value And a second reference value by calculating a signal-to-noise ratio of a specific frequency band included in the band-pass filtered signal when the signal-to-noise ratio of the bandpass filtered signal is greater than the first reference value as a result of the first comparison step. And a second comparing step to compare with and a determination step of determining that a blow caused by another work is generated when the signal-to-noise ratio of the specific frequency band is greater than the second reference value as a result of the second comparing step.

According to the present invention, it is possible to shorten the calculation time and simplify the system because it is determined whether the perforation occurs directly in the time domain without converting the sensing signal detected by the acceleration sensor to the frequency band. In addition, by determining whether or not the third party is generated by using the signal-to-noise ratio of the detection signal in the time domain, there is an effect that can provide the accuracy of the third-party occurrence determination.

Hereinafter, a third-party monitoring system and method using time data filtering according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

3 is a functional block diagram showing a third-party monitoring system using time data filtering according to the present invention.

The third-party monitoring system of the present invention includes a signal processing unit 300 for monitoring a blow to a gas pipe and a signal output from the signal processing unit 300 and wired Internet equipment such as an ADSL modem or a wireless LAN. Internet connection device 400 is transmitted to the server 500 via the Internet using the same wireless Internet equipment. The third-party monitoring system of the present invention is provided with an uninterruptible power supply (UPS) to allow each equipment to operate stably even when a commercial AC power is interrupted.

4 is an internal functional block diagram of the signal processing unit of FIG. 3.

As shown in FIG. 4, each of the signal processing units is installed at a predetermined interval in the gas pipe to filter only the acceleration sensors 311 and 312 to collect signals and the signals collected by each of the acceleration sensors 311 and 312 to a frequency band of 100 Hz to 1000 Hz. Bandpass filters 321 and 322, amplifiers 331 and 332 for amplifying bandpassed signals, A / D converters 341 and 342 for digitally converting signals amplified by the amplifiers 331 and 332, and A / D converters 341 and 342. CPU 351 for recognizing the blow caused by other construction by using the digital signal output from the) and alarm & buzzer 371 which generates an alarm sound under the control of the CPU 351 if it is determined that the blow caused by the other construction. It is provided.

In addition, the signal processing unit includes a GPS antenna 361 that receives satellite signals from a GPS satellite (not shown), and a GPS module 362 that processes the satellite signals to calculate a current time and provides the same to the CPU 351. It is further provided.

Hereinafter, the third-party monitoring method of the third-party monitoring system of the present invention configured as described above.

The acceleration sensors 311 and 312 collect a signal from the gas pipe, and pass and filter only signals in the frequency band of 100 Hz to 1000 Hz among the signals collected by the acceleration sensors 311 and 312 (S501). Next, the signal-to-noise ratio (first S / N ratio) of the filtered signal is calculated (S502).

Next, when the first S / N ratio is greater than the first reference value by comparing the first S / N ratio with the predetermined first reference value (S503), the signal-to-noise ratio (second S / N ratio) of the specific frequency band (100 Hz to 200 Hz) is calculated. (S504). If the 1S / N ratio is not greater than the first reference value, it is determined that the damage is not caused by other construction, and the process returns to the initial stage.

Next, when the second S / N ratio is greater than the second reference value by comparing the second S / N ratio with a predetermined second reference value (S505), it is determined that an impact caused by other work has occurred, and the alarm & buzzer 371 is driven to alert. To generate (S506). On the other hand, if the 2S / N ratio is not greater than the second reference value it is determined that it is not a blow due to other construction to return to the initial stage.

Hereinafter, the reason for filtering through only signals in the frequency band of 100 Hz to 1000 Hz in step 501 and the reason for selecting 100 Hz to 200 Hz as the specific frequency band in step S504 will be described. Actual experiments show that the loudness is large in the signal below the 100Hz band. Therefore, the frequency band below 100Hz is blocked because the signal below the 100Hz band is merely noise, not a blow caused by other construction.

On the other hand, the blow by the actual other construction is distributed in a wide band from 300Hz to 700Hz, the unusual thing falls from high frequency to low frequency like the tail after the signal of the wide band. Therefore, when the signal-to-noise ratio (S / N ratio) of the low frequency band, that is, the 100 Hz to 200 Hz band is smaller than the second predetermined reference value, it is determined that the noise is not a blow due to other construction but is a simple noise. In this way, the frequency band is selected based on the actual experimental results.

1 is a functional block diagram of a conventional third-party monitoring system,

2 is an operation flowchart of a third-party monitoring method using a conventional frequency spectrum density analysis;

3 is a functional block diagram showing a third-party monitoring system using time data filtering according to the present invention;

4 is an internal functional block diagram of the signal processing unit of FIG. 3;

5 is a flowchart illustrating a third-party monitoring method using time data filtering according to the present invention.

     BRIEF DESCRIPTION OF THE DRAWINGS FIG.

311, 312: acceleration sensor 321, 322: band pass filter

331, 332: amplifier 341, 342: A / D converter

351: CPU 361: GPS antenna

362: GPS module 371: alarm & buzzer

Claims (5)

An acceleration sensor installed at regular intervals on the gas pipe to collect signals; A band pass filter for filtering only a predetermined frequency band among the signals collected by the acceleration sensor; An amplifier for amplifying the bandpassed signal, An A / D converter for converting the signal amplified by the amplifier into digital; A CPU for recognizing a blow caused by another construction by calculating a signal-to-noise ratio of the digital signal output from the A / D converter; The third party monitoring system using the time data filtering, characterized in that the CPU is provided with an alarm & buzzer that generates an alarm sound under the control of the CPU when it is determined that the blow due to other construction. The GPS antenna according to claim 1, further comprising a GPS antenna for receiving satellite signals from a GPS satellite and a GPS module for processing a satellite signal received from the GPS antenna to calculate a current time and provide the same to the CPU. Third-party surveillance system using time data filtering. The third-party monitoring system using time data filtering according to claim 1, wherein the band pass filter passes a frequency band of 100 Hz to 1000 Hz. A band pass filtering step of filtering only a predetermined frequency band among the received signals; A first comparison step of calculating a signal-to-noise ratio of the bandpass filtered signal and comparing it with a first reference value; A second comparison step of calculating a signal-to-noise ratio of a specific frequency band included in the bandpass filtered signal when the signal-to-noise ratio of the bandpass filtered signal is greater than the first reference value as a result of the first comparison step; Wow, And a determination step of determining that the blow due to the other construction occurred when the signal-to-noise ratio of the specific frequency band is greater than the second reference value, as a result of the second comparing step. The method of claim 3, wherein the bandpass filtered signal is a signal of a frequency band of 100 Hz to 1000 Hz, and the specific frequency band is a signal of a frequency band of 100 Hz to 200 Hz.

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