CONSIDERATIONS FOR FUTURE SEISMIC SYSTEMS Bob Nigbor USC.
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Transcript of CONSIDERATIONS FOR FUTURE SEISMIC SYSTEMS Bob Nigbor USC.
No Technological Barriers Exist to Real-Time, Automated Data Processing
CDN
10 X 3-channel strong-motion remote station
(SMRS)via GPRS
SSN Strong-Motion Network andSeismic Information System (NSN/SIS)
System drawing: Overview
CentralProcessing
System@ SSN
This drawing contains proprietary information and should not be copied or distributed without prior written permission from Kinemetrics, Inc.
GPRS Router
AUXILIARY RS-232C EXT. POWER
CH 1-3 ETNA
PLMNGSM/GPRS TIM
SGSN
GGSNTIM
Device Server
MailMailServerServer
SSN LAN
BorderBordergatewaygateway
Backbone IPTIM
Glossary
SGSN Serving GPRS Support Node
GGSN Gateway GPRS Support Node
CDN “Circuito Diretto Numerico”Digital Direct Connection
Immediate Parametric Information Will Be the Expectation
The JMA Intensity Calculation uses a special FIR filter the matches the passband of the SHINDOF instrument exactly. K = 1.75 Slope of top of filterf0 = 0.5 Hz Cut off frequency of high pass filterFc = 10 Hz Cut off frequency of low pass filterWn = [1 - exp[(-Fn/f0)3]]1/2 * (K/Fn)1/2 * 1/ [1 + 0.694 * (Fn/Fc)2 + 0.241 * (Fn/Fc)4 + 0.0557 * (Fn/Fc)6 + 0.009664 * (Fn/Fc)8 + 0.00134 * (Fn/Fc)10 + 0.000155 * (Fn/Fc)12]1/2Figure 1 IJMA Bandpass FIR Filter EquationThe JMA Intensity is calculated from the KAWASUMI equation
IJMA = 2 * log(acceleration) + 0.7
Example: JMA Intensity Calc in SMA Firmware
Future SMA’s Will Be Powerful
The 3x3” UCSD/HPWREN CerfCube, the basis of a new strong motion monitoring concept that runs a Linux operating system, consists of a high-performance Intel StrongARM 1110 processor with 32 MB RAM and 16 MB Flash.
What Instrumentation Do We Need to Enhance/Improve Strong Motion Data?
1. What improvements in SMA’s are needed to eliminate “corrections” and allow automated processing?
2. What (non-acceleration) sensors are needed to get us closer to our engineering information needs?
Uni-axial Accelerometer
Tri-axial Accelerometer
Rotation Sensor
Displacement TransducerPressure Cell and Sensor
DIVERSE SENSING FOR STRONG-MOTION
How Can Seismic Data=Strong Motion Data?
What can be done to make the low-gain components of seismic network data acceptable to our engineering needs?
How can our engineering needs drive the low-gain components of ground motion networks?
Primary Participants or Secondary Data Users?
Seismic Monitoring
Waveform data & metadata
Products:
•Engineering products
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