scholarly journals Real-time monitoring of seismic data using satellite telemetry

1997 ◽  
Vol 40 (4) ◽  
Author(s):  
G. Calderoni ◽  
B. De Simoni ◽  
F. M. De Simoni ◽  
L. Merucci
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Seismic Data ◽  
Data Exchange ◽  
Low Frequency ◽  
Satellite Communications ◽  
Geophysical Data ◽  
Processing Centre ◽  
Duration Magnitude ◽  
Master Station

This article describes the ARGO Satellite Seismic Network (ARGO SSN) as a reliable system for monitoring, collection, visualisation and analysis of seismic and geophysical low-frequency data, The satellite digital telemetry system is composed of peripheral geophysical stations, a centraI communications node (master sta- tion) located in CentraI Italy, and a data collection and processing centre located at ING (Istituto Nazionale di Geofisica), Rome. The task of the peripheral stations is to digitalise and send via satellite the geophysical data collected by the various sensors to the master station. The master station receives the data and forwards them via satellite to the ING in Rome; it also performs alI the monitoring functions of satellite communications. At the data collection and processing centre of ING, the data are received and analysed in real time, the seismic events are identified and recorded, the low-frequency geophysical data are stored. In addition, the generaI sta- tus of the satellite network and of each peripheral station connected, is monitored. The procedure for analysjs of acquired seismic signals allows the automatic calculation of local magnitude and duration magnitude The communication and data exchange between the seismic networks of Greece, Spain and Italy is the fruit of a recent development in the field of technology of satellite transmission of ARGO SSN (project of European Community "Southern Europe Network for Analysis of Seismic Data" )

scholarly journals Edge Computing Approach for Vessel Monitoring System

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3087 ◽  
Author(s):  
Joao C. Ferreira ◽  
Ana Lucia Martins
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Monitoring System ◽  
Communication Systems ◽  
Satellite Communications ◽  
Edge Computing ◽  
Abnormal Behavior ◽  
Collection Process ◽  
Data Collection Process ◽  
Computing Approach

A vessel monitoring system (VMS) is responsible for real-time vessel movement tracking. At sea, most of the tracking systems use satellite communications, which have high associated costs. This leads to a less frequent transmission of data, which reduces the reliability of the vessel location. Our research work involves the creation of an edge computing approach on a local VMS, creating an intelligent process that decides whether the collected data needs to be transmitted or not. Only relevant data that can indicate abnormal behavior is transmitted. The remaining data is stored and transmitted only at ports when communication systems are available at lower prices. In this research, we apply this approach to a fishing control process increasing the data collection process from once every 10 min to once every 30 s, simultaneously decreasing the satellite communication costs, as only relevant data is transmitted in real-time to the competent central authorities. Findings show substantial communication savings from 70% to 90% as only abnormal vessel behavior is transmitted. Even with a data collection process of once every 30 s, findings also show that the use of more stable fishing techniques and fishing areas result in higher savings. The proposed approach is assessed as well in terms of the environmental impact of fishing and potential fraud detection and reduction.

scholarly journals The Interreg IV Italia-Austria "SeismoSAT" project: connecting seismic data centers via satellite

2014 ◽  
Vol 36 ◽  
pp. 57-60 ◽  
Author(s):  
D. Pesaresi ◽  
W. Lenhardt ◽  
M. Rauch ◽  
M. Živčić ◽  
R. Steiner ◽  
...  
Keyword(s):  
Real Time ◽  
Seismic Data ◽  
Data Exchange ◽  
Data Centers ◽  
Main Tool ◽  
Eastern Alps ◽  
Ideal Condition ◽  
Integrated Networks ◽  
Internet Connections ◽  
Seismic Networks

Abstract. Since 2002 OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) in Udine (Italy), the Zentralanstalt für Meteorologie und Geodynamik (ZAMG) in Vienna (Austria), and the Agencija Republike Slovenije za Okolje (ARSO) in Ljubljana (Slovenia) are using the Antelope software suite as the main tool for collecting, analyzing, archiving and exchanging seismic data in real time, initially in the framework of the EU Interreg IIIA project "Trans-national seismological networks in the South-Eastern Alps" (Bragato et al., 2004, 2010). The data exchange has proved to be effective and very useful in case of seismic events near the borders between Italy, Austria and Slovenia, where the poor single national seismic networks coverage precluded a correct localization, while the usage of common data from the integrated networks improves considerably the overall reliability of real time seismic monitoring of the area (Fig. 1). At the moment the data exchange between the seismic data centers relies on their internet connections: this however is not an ideal condition for civil protection purposes, since the reliability of standard internet connections is poor. For this reason in 2012 the Protezione Civile della Provincia Autonoma di Bolzano in Bolzano (PCBZ, Italy), OGS, ZAMG subsidiary in Tirol (ZAMG Tirol) and ARSO joined in the Interreg IV Italia-Austria Project "SeismoSAT" (Progetto SeismoSAT, 2012) aimed in connecting the seismic data centers in real time via satellite. ARSO does not belong to the Interreg Italia-Austria region: for this reason ARSO joined the SeismoSAT project as an "associated partner", which, according to Interreg rules can not be funded. ARSO participation in the project is therefore at the beginning limited in benefiting only indirectly from improvement in the robustness of the data exchange between the other data centers, while eventually fully taking part in the project if other sources of funding will be available. The project is in a preliminary phase: the general schema of the project, including first data bandwidth estimates and a possible architecture are here illustrated.

scholarly journals "SeismoSAT" project results in connecting seismic data centres via satellite

2016 ◽  
Vol 41 ◽  
pp. 83-87
Author(s):  
Damiano Pesaresi ◽  
Wolfgang Lenhardt ◽  
Markus Rauch ◽  
Mladen Živčić ◽  
Rudolf Steiner ◽  
...  
Keyword(s):  
Real Time ◽  
Seismic Data ◽  
Data Exchange ◽  
Ideal Condition ◽  
Civil Protection ◽  
The Past ◽  
The Common ◽  
Data Connection ◽  
Data Centres ◽  
General Technical

Abstract. Since 2002 the OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) in Udine (Italy), the Zentralanstalt für Meteorologie und Geodynamik (ZAMG) in Vienna (Austria), and the Agencija Republike Slovenije za Okolje (ARSO) in Ljubljana (Slovenia) are collecting, analysing, archiving and exchanging seismic data in real time. Up to now the data exchange between the seismic data centres relied on internet: this however was not an ideal condition for civil protection purposes, since internet reliability is poor. For this reason, in 2012 the Protezione Civile della Provincia Autonoma di Bolzano in Bolzano (Italy) joined OGS, ZAMG and ARSO in the Interreg IV Italia-Austria project "SeismoSAT" (Progetto SeismoSAT, 2014) aimed in connecting the seismic data centres in real time via satellite. As already presented in the past, the general technical schema of the project has been outlined, data bandwidths and monthly volumes required have been quantified, the common satellite provider has been selected and the hardware has been purchased and installed. Right before the end of its financial period, the SeismoSAT project proved to be successful guaranteeing data connection stability between the involved data centres during an internet outage.

The Calculation of TTR in PROFIBUS System

2012 ◽  
Vol 482-484 ◽  
pp. 2183-2187 ◽  
Author(s):  
Li Ping Zhen ◽  
Shao Wei Si ◽  
Huan Qing Xie
Keyword(s):  
Real Time ◽  
Data Exchange ◽  
Selection Method ◽  
Time Behavior ◽  
The Real ◽  
Transmission Errors ◽  
Random Behavior ◽  
Token Passing ◽  
Master Station ◽  
The Impact

In PROFIBUS system, we analyzed the time behavior of data exchange and token-passing, and give the TTR selection method, when each master station holding enough token time. And then we discussed the random characteristics of networks and FDL, give the formula of random behavior to calculate time, and get the TTR and the revised value of TTR in PROFIBUS system which has FDL and MS1 communication. Finally, further discussed the case of transmission errors, analyzed the impact of transmission errors to TTR and the real-time of system, and give the TTR and the revised value in this situation.

A satellite-based digital data system for low-frequency geophysical data

1989 ◽  
Vol 79 (1) ◽  
pp. 189-198
Author(s):  
Stan Silverman ◽  
Carl Mortensen ◽  
Malcolm Johnston
Keyword(s):  
Real Time ◽  
Crustal Deformation ◽  
Previous History ◽  
Low Frequency ◽  
Deformation Monitoring ◽  
Water Levels ◽  
Geophysical Data ◽  
Physical Models ◽  
Digital Data ◽  
Local Magnetic Field

Abstract A reliable method for collection, display, and analysis of low-frequency geophysical data from isolated sites, which can be throughout North and South America and the Pacific Rim, has been developed for use with the Geostationary Operational Environmental Satellite (GOES) system. Geophysical data primarily intended for earthquake hazard and crustal deformation monitoring are digitized with either 12-bit or 16-bit resolution and transmitted every 10 min through a satellite link to a bank of UNIX-based computers in Menlo Park, California. There the data are available for analysis and display within a few seconds of their transmit time. This system provides real-time monitoring of crustal deformation parameters such as tilt, strain, fault displacement, local magnetic field, crustal geochemistry, and water levels, as well as meteorological and other parameters, along faults in California and Alaska, and in volcanic regions in the western United States, Rabaul, and other locations in the New Britain region of the South Pacific. Various mathematical, statistical, and graphical algorithms process the incoming data to detect changes in crustal deformation and fault slip that may indicate the first stages of catastrophic fault failure. Alert trigger levels based on physical models, signal resolution, and previous history have been defined for particular instrument types. Computer-driven remote paging and mail systems are used to notify appropriate personnel when alarm status is reached. The system supports continuous historical records of low-frequency geophysical data, software for extensive analysis of these data, and programs for modeling fault rupture with and without seismic radiation, as well as providing an environment for real-time attempts at earthquake prediction.

Virtual private network technologies in real-time geophysical data collection systems

2015 ◽  
Vol 51 (1) ◽  
pp. 44-47 ◽  
Author(s):  
I. M. Aleshin ◽  
A. E. Vasiliev ◽  
K. I. Kholodkov ◽  
F. V. Perederin
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Virtual Private Network ◽  
Geophysical Data ◽  
Private Network ◽  
Network Technologies

Enhancing Clinical Supervision Using High-Definition Real-Time Digital Recording, Annotation, and Bluetooth Technology

2019 ◽  
Vol 4 (2) ◽  
pp. 356-362
Author(s):  
Jennifer W. Means ◽  
Casey McCaffrey
Keyword(s):  
Graduate Students ◽  
Data Collection ◽  
Real Time ◽  
Clinical Supervision ◽  
Video Recording ◽  
Advanced Technology ◽  
High Definition ◽  
Recording Technology ◽  
Self Confidence ◽  
Additional Data Collection

Purpose The use of real-time recording technology for clinical instruction allows student clinicians to more easily collect data, self-reflect, and move toward independence as supervisors continue to provide continuation of supportive methods. This article discusses how the use of high-definition real-time recording, Bluetooth technology, and embedded annotation may enhance the supervisory process. It also reports results of graduate students' perception of the benefits and satisfaction with the types of technology used. Method Survey data were collected from graduate students about their use and perceived benefits of advanced technology to support supervision during their 1st clinical experience. Results Survey results indicate that students found the use of their video recordings useful for self-evaluation, data collection, and therapy preparation. The students also perceived an increase in self-confidence through the use of the Bluetooth headsets as their supervisors could provide guidance and encouragement without interrupting the flow of their therapy sessions by entering the room to redirect them. Conclusions The use of video recording technology can provide opportunities for students to review: videos of prospective clients they will be treating, their treatment videos for self-assessment purposes, and for additional data collection. Bluetooth technology provides immediate communication between the clinical educator and the student. Students reported that the result of that communication can improve their self-confidence, perceived performance, and subsequent shift toward independence.

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