Because it is impossible to predict exactly when and where earthquakes occur, the best way to minimize damage caused by earthquakes so far is to analyze seismic information and quickly provide seismic early warning.
The research direction of the recent EEWS(Earthquake Early Warning System) ...
Because it is impossible to predict exactly when and where earthquakes occur, the best way to minimize damage caused by earthquakes so far is to analyze seismic information and quickly provide seismic early warning.
The research direction of the recent EEWS(Earthquake Early Warning System) is developing from accurate information delivery to rapid delivery. In particular, research is being conducted on new ways to estimate rapid and accurate seismic information through the great strides of processing speed of recent computers and the use of various sensors such as IOT.
As part of upgrading the seismic report system, the Korea Meteorological Administration has also announced a plan to issue an alert within 10 seconds of the seismic observation by 2020, and in case of earthquakes that occur inside the observation network, the location error of the epicenter will be within 5km, the scale error within ±0.5km, and a dense observatory will be formed within 22km intervals between stations.
The existing EEWS method installs one seismometer only in one building and use the one-way summation judgment method to make seismic decisions, which not only have low reliability but can also cause misjudgment. Most of all, the earthquake decision has not been secured for a golden time for people to evacuate within 25 seconds to 10 seconds. Since S waves are observed within 5 to 20 seconds of P waves being observed, P wave observation and report must be performed within 5 seconds of golden time, which is the time that humans can avoid.
In order to develop EEWS that can secure golden time, a faster, more accurate and more stable system should be built by using scale formula that determines the magnitude of P-wave earthquakes using domestic seismic data. In addition, from now on, multi-aspect research should be carried out to minimize judging errors and determine rapid and accurate earthquakes through stabilization of the EEWS.
This paper proposes a new three-way combined EEWS that can quickly and accurately determine whether an earthquake has occurred within five seconds of golden time to solve the problem of the existing EEWS.
To refine the seismic determination method, a patterned seismic identification algorithm that increases the accuracy of determination of risk through the comparison of information on three or more seismic sensor devices with vibration conditions, past history, and waveform analysis pattern data of nearby buildings was implemented based on the "three-way summation judgment" analysis engine and the EEWS. Tests also confirmed that seismic determination is possible within 5 seconds.
In conclusion, we can see that the proposed new system can make quick seismic judgments by minimizing judging errors through the three-way summation judgment rather than the existing EEWS.
Because it is impossible to predict exactly when and where earthquakes occur, the best way to minimize damage caused by earthquakes so far is to analyze seismic information and quickly provide seismic early warning.
The research direction of the recent EEWS(Earthquake Early Warning System) is developing from accurate information delivery to rapid delivery. In particular, research is being conducted on new ways to estimate rapid and accurate seismic information through the great strides of processing speed of recent computers and the use of various sensors such as IOT.
As part of upgrading the seismic report system, the Korea Meteorological Administration has also announced a plan to issue an alert within 10 seconds of the seismic observation by 2020, and in case of earthquakes that occur inside the observation network, the location error of the epicenter will be within 5km, the scale error within ±0.5km, and a dense observatory will be formed within 22km intervals between stations.
The existing EEWS method installs one seismometer only in one building and use the one-way summation judgment method to make seismic decisions, which not only have low reliability but can also cause misjudgment. Most of all, the earthquake decision has not been secured for a golden time for people to evacuate within 25 seconds to 10 seconds. Since S waves are observed within 5 to 20 seconds of P waves being observed, P wave observation and report must be performed within 5 seconds of golden time, which is the time that humans can avoid.
In order to develop EEWS that can secure golden time, a faster, more accurate and more stable system should be built by using scale formula that determines the magnitude of P-wave earthquakes using domestic seismic data. In addition, from now on, multi-aspect research should be carried out to minimize judging errors and determine rapid and accurate earthquakes through stabilization of the EEWS.
This paper proposes a new three-way combined EEWS that can quickly and accurately determine whether an earthquake has occurred within five seconds of golden time to solve the problem of the existing EEWS.
To refine the seismic determination method, a patterned seismic identification algorithm that increases the accuracy of determination of risk through the comparison of information on three or more seismic sensor devices with vibration conditions, past history, and waveform analysis pattern data of nearby buildings was implemented based on the "three-way summation judgment" analysis engine and the EEWS. Tests also confirmed that seismic determination is possible within 5 seconds.
In conclusion, we can see that the proposed new system can make quick seismic judgments by minimizing judging errors through the three-way summation judgment rather than the existing EEWS.
주제어
#three-party combined judgment earthquake early warning system internet of things vector sum MEMS sensor P waves golden time
학위논문 정보
저자
박윤수
학위수여기관
한국산업기술대학교 지식기반기술·에너지대학원
학위구분
국내박사
학과
정보통신
지도교수
최정훈
발행연도
2020
총페이지
v, 97 p.
키워드
three-party combined judgment earthquake early warning system internet of things vector sum MEMS sensor P waves golden time
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