Development of an online seismic data collection network using ilabs shared architecture

dc.contributor.authorAlly, Nassor
dc.date.accessioned2021-10-11T06:38:19Z
dc.date.available2021-10-11T06:38:19Z
dc.date.issued2016
dc.descriptionAvailable in print form, Eat Africana Collection, Dr. Wilbert Chagula Library,(THS EAF QE536.2.T34A44)en_US
dc.description.abstractThe seismic network in Tanzania consists of independently seismic recording stations distributed over various regions. The collection of seismic data and maintenance has been routinely done through quarterly physical visitations of the remote sites. This period is undesirably long for timely analysis of earthquake data. Furthermore, the current infrastructure lacks automatic alerting mechanisms for earthquake occurrence. Recently, two studies have been conducted to address the challenges. However, the authors applied a computer-dependent framework, which is unsuitable for collecting data in harsh environments. This work proposes a new framework that uses a data logger (DR-4050P), which can tolerate weather conditions in remote site, and an iLabs shared Architecture. A user interface was designed for seismologists to download earthquake data from target ISA. The proposed framework includes an FTP server between logger and ISA to receive seismic data and forward them to central stations. This study was able to extend ISA framework together with mobile network to enable the DR-4050P at a recording station to route collected seismic data to central station which were later on shared by seismologists worldwide. Data transferring procedure results in telemetry delay (roughly 0.2s). The design network, also, provides a flexibility to manage seismologists accessing seismic data. A designed user interface using Lab VIEW was used by seismologists to display collected seismic data.en_US
dc.identifier.citationAlly, N. (2016) Development of an online seismic data collection network using ilabs shared architecture. Masters dissertation, University of Dar es Salaam, Dar es Salaam.en_US
dc.identifier.urihttp://41.86.178.5:8080/xmlui/handle/123456789/15943
dc.language.isoenen_US
dc.publisherUniversity of Dar es Salaamen_US
dc.subjectSeismic networken_US
dc.subjectSeismologyen_US
dc.subjectObservationsen_US
dc.subjectTanzaniaen_US
dc.titleDevelopment of an online seismic data collection network using ilabs shared architectureen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Nassor Ally.pdf
Size:
5.93 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: