GLACSWEB Sensor Networks & GLACSWEB Kirk Martinez IAM Group ECS.

Slides:

Advertisements

Similar presentations

Proactive monitoring in natural environments Ian Marshall, Computing Laboratory, University of Kent Technical Director of the Envisense.

Advertisements

Real-time Data Collection in Flood Warning Systems

Mapping the underworld Ping Wang, Kevin Goddard, Paul Lewin, Steve Swingler 19 January 2011 Detection and location of underground power cable using magnetic.

SENS-IT SENS-IT Small Electronic Network Sensor Integrity Tool Development of a Low-Cost Permanently Installed Microelectronic Wireless Monitoring System.

ZXM10 EISU Training.

You Can Measure the Benefits… Solid Applied Technologies Sewer Level Monitoring.

WIRELESS SENSOR NETWORKS TO MONITOR SEDIMENT DYNAMICS Dr JE Tateson, Dr C Roadknight, Prof IW Marshall at BT Exact, with UEA, Essex University, UCL, Plextex.

Ocean-Ice Interaction beneath the Pine Island Glacier (PIG) Ice Shelf: The Key to Ice-Sheet Stability Global sea level will likely rise 1 meter by 2100.

Snow Measurement 2013 Excellence in Snow Measurement.

Wireless Ad-Hoc Sensor Networks for Monitoring Endangered Plant Species Edo Biagioni University of Hawaii at Manoa Also Kim Bridges, Brian Chee, Anders.

Tsunamis Detection The Mission  Tsunamis Detection can help to minimize loss of life and property from future tsunamis. Mission Introduction Mechanism.

A Project Team Members: Shamlan AlbaharRifaah Alkhamis Doug BloomquistChris Deboer.

Wireless Sensor Network. A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to.

Team Impact Intelligent Helmet Impact System Preliminary Design Review January 29 th, 2008 Amanda Brodbeck Wei-Chu Liao Wei-Shen Liao Chris Mintle.

GLACSWEB Kirk Martinez, Jane K. Hart, Royan Ong & Joseph Stefanov, University of Southampton; Ian Marshall & David Robinson,BTExact; Ian Marshall & David.

Design and Implementation of a Virtual Reality Glove Device Final presentation – winter 2001/2 By:Amos Mosseri, Shy Shalom, Instructors:Michael.

Autonomic Wireless Sensor Networks: Intelligent Ubiquitous Sensing G.M.P. O’Hare, M.J. O’Grady, A. Ruzzelli, R. Tynan Adaptive Information Cluster (AIC)

University of Kansas A KTEC Center of Excellence 1 Victor S. Frost Director, Information & Telecommunication Technology Center Dan F. Servey Distinguished.

An autonomous multi-sensor probe for taking measurements under glaciers Dr Kirk Martinez & Dr Jane K. Hart Electronics and Computer Science & Dept. of.

Aloha Proof Module Design Cabled Observatory Presentation School of Ocean and Earth Science and Technology February 2006.

Deon Blaauw Modular Robot Design University of Stellenbosch Department of Electric and Electronic Engineering.

 A system consisting of a number of remote terminal units (or RTUs) collecting field data connected back to a master station via a communications system.

EPICS on TPS RF System Yu-Hang Lin Radio Frequency Group NSRRC.

Introduction To Wireless Sensor Networks Wireless Sensor Networks A wireless sensor network (WSN) is a wireless network consisting of spatially distributed.

SCADA and Telemetry Presented By:.

Team Members John Henderson Curt LaBarge Greg Pearson Yixin Qiao Client/Advisor Steve Holland (ISU Canoe and Kayak Club)

Application of Near-Surface Geophysics to Agricultural Drainage Pipe Detection.

Cansat 2011 PDR (UYARI) 1 UYARI TEAM PRELIMINARY DESIGN REPORT.

Experimental Tactical Platform The ETP will be designed like a Mars NASA probe. It will be equipped with the cameras and sensors required to passively.

Unmanned aerial systems, what they are and what is available? Professor Sandor M Veres University of Sheffield.

InSeT System Inertial Sensor Tracking System Underground Mine Safety For Personnel Utilizing Inertial Sensors Technical Presentation.

Integrated Vehicle Tracking and Communication System.

Interstate Oil and Gas Commission May 21-23, 2006 Billings, MT Jim Barnes NETL Project Manager U.S. DOE Marginal Expense Oil Well Wireless Surveillance.

Presented by Amira Ahmed El-Sharkawy Ibrahim.  There are six of eight turtle species in Ontario are listed as endangered, threatened or of special concern.

Electrical & Computer Engineering Presentation by: Andrew Frieden Matthew Weydt Nick Setzer Tyler Dunn PDR 2012 – Team Gong Self Sustaining Sensor System.

Multiple Autonomous Ground/Air Robot Coordination Exploration of AI techniques for implementing incremental learning. Development of a robot controller.

Wireless Intelligent Sensor Modules for Home Monitoring and Control Presented by: BUI, Phuong Nhung, 裴芳绒 António M. Silva1, Alexandre Correia1, António.

Malcolm McMillan1, Peter Nienow1, Andrew Shepherd1 & Toby Benham2

INTO DEEP ICE What does the future hold for Earth’s ice? (IEEE Spectrum | December 2005| NA) ECE 695 Alkesh Patel & Hemant Patel.

An Intelligent and Adaptable Grid-Based Flood Monitoring and Warning System Phil Greenwood.

Global warming and Sea Level Rise: Best estimates by 2100 John King

MICROSEISMICITY MONITORING IN ENI. 2 Seisan Workshop Microseismicity monitoring in ENI Environmental Monitoring: local authorities often requires monitoring.

Mid-Atlantic Mesonet Consortium Founded through the State Climate Offices at: the University of Delaware and Rutgers, The State University of New Jersey.

Lesson 23: Technology II. Strides in underwater research Did you know that most of the ocean (>95%) still hasn’t been explored? Technologies developed.

Robotic Sensor Network: Wireless Sensor Platform for Autonomous Topology Formation Project: Sponsored By: Advisor: Dr. S. Jay Yang, CEManager: Steven.

1Hannu Luodes Natural stone assessment with ground penetrating radar (GPR) The 15th Meeting of the Association of European Geological Societies.

© TAFE MECAT 2008 Chapter 6(b) Where & how we take measurements.

Computer Engineering and Networks Technische Informatik und Kommunikationsnetze PermaSense Sensing in Disruptive Environments Jan Beutel.

What is a Sensor Web ? Abhinav Roongta Wireless Information Networking Group University of Florida March 3, 2004.

AD-HOC NETWORK SUBMITTED BY:- MIHIR GARG A B.TECH(E&T)/SEC-A.

Future PermaSense Challenges – Technology Jan Beutel.

Introduction to GPS/GNSS Introduction to Tidal and Geodetic Vertical Datums Corbin Training Center January 7, 2009 Jeff Little Guest Speaker ,

Marshall Earle, Ph.D., Principal Investigator Mike Brown, Lead Electrical Engineer Jeffrey Gallagher, Electrical Engineer (Bill Hughes, Lead Mechanical.

Presented by : Rashmy Balasubramanian.  Aimed at saving endangered species of turtle in Ontario  The WSN gathers information regarding risks factors.

Background Real-time environmental monitoring is a field garnering an ever-increasing amount of attention. The ability for sensors to make and publish.

Internet of Things. IoT Novel paradigm – Rapidly gaining ground in the wireless scenario Basic idea – Pervasive presence around us a variety of things.

SEA-MAC: A Simple Energy Aware MAC Protocol for Wireless Sensor Networks for Environmental Monitoring Applications By: Miguel A. Erazo and Yi Qian International.

Photovoltaic Power System Monitor Josh Stone Ryan Mann Art Barnes Austin Fisher.

Prox-0.3 Georgia Institute of Technology Kiichiro DeLuca Richard Zappulla Ian Chen Matt Uhlman 1.

Pervasive Computing MIT SMA 5508 Spring 2006 Larry Rudolph 1 Tracking Indoors.

Wisconsin Automatic Weather Station Servicing by BAS for Summer 2003/2004 Steve Colwell.

SuomiNet Overview CSU Atmospheric Science September 25, 2013 Natalie Tourville CIRA.

Technology to meet India’s water monitoring needs

Jeffery S. Horsburgh Utah State University

Pressure Level Sensor OTT PLS

Joe Trefilek Jeff Kubascik Paul Scheffler Matt Rockey

Your Solution for: Energy Smart Management Real Time Power Monitoring Fuel Theft Prevention Technical presentation.

Controlling Sensors Efficiently with MCUs

Sensor Networks – Motes, Smart Spaces, and Beyond

Team RAPTORS Joe Trefilek Jeff Kubascik Paul Scheffler Matt Rockey

Presentation transcript:

GLACSWEB Sensor Networks & GLACSWEB Kirk Martinez IAM Group ECS

What are Sensor networks? large numbers of sensors integrated into one information system sensor data must reach a server the networks are not typically tcp/ip –ad-hoc networking is needed

Why sense the environment? Studying global environmental changes requires massive data collection… Coarse but large systems exists for weather prediction but deep oceans, ice caps, microclimates are less covered

Challenges reusable cheap components, self- configuring robust communications autonomous and adaptive behaviour extensible ad-hoc networking low power to enable data fusion, data must be accessible: need a semantic sensor web

Who is doing this too? Jet Propulsion Lab –use the term "sensor webs"

Nextwave Envisense Centre Glaciers - Glacsweb Flooding - Floodnet Coastal erosion - Seacoas

Glacsweb Aims and Objectives To monitor glacier dynamics as a contribution to the study of ‘Global Warming’ and glaciology To develop a pervasive sensor network To produce generic components and expertise useful in other environments

GLACSWEB Pervasive computing Supraglacial data Subglacial data

Test Site

map

Field site

expected movement in a year Base Station reference station Ice Sediment 13m 10m 7m 3m

Sometimes the only way to get your equipment in is to employ a helicopter….

Understanding the Subglacial Environment Ground Penetrating Radar Drilling & till sampling Borehole camera

GPR interpretation T1 T2 T0 T3 L1 L2 L3 10m0 N Subglacial Channel? Ice flow “strong” reflection

hot water drilling

Ice hole depth 10m0 N Ice flow 72m Water drained 70m 76m 80m Water filled 55m 65m 82m 56m 62m 63m 75m>38m GPR survey 50MHz “strong” reflection Subglacial Channel Probes in ice Probes in till Till sampled

System overview

Probes Plastic case (10cm long) PIC microcontroller Radio Transceiver A/D and amplifiers Batteries Sensors: tilt, temp, pressure Real time clock

Probe subsystems

Probe pressure tests in Oceanography

Base station Measure snow levels, temp, box tilt, bat V Radio links to Ref station and probes DGPS Large power supply and solar panel

Base Station

Reference station Small Linux server ISDN line Backup of all data Gets all DGPS data Deposits data on Southampton server

3D Positioning (1 Probe) Distance from PR to RC = time taken for signal to reach RC Position of PR calculated via trilateration

PCBs

HoursProbeBase StationReference Station 0000Data logging Data logging Data logging Data loggingGPS logging 1600Communication Data transfer 2000Data logging-- System Timeline System on times:Data logging- 11 seconds GPS logging- 20 minutes Communication- 180, 300, 600 seconds (PR, BS, RS) Data transfer- when completed

testing and construction of the prototype probes

probe deployment in water-filled hole

probe deployment in part water-filled hole

Preliminary results

Battery Voltage (Base) Solar panel seems to have provided more power than was used

Temperature & tilt of the base station

Summary & Conclusions Designed, built, tested and deployed 9 sensor probes, Base Station and Reference station Some things are difficult to calculate beforehand Lots of ad-hoc design and tuning is needed during installation

Future development Smaller probe electronics Lower frequency probe communications Probe positioning system Web site data plots

Credits Royan Ong, Joseph Stefanov, Al Riddoch, Harvey Rutt, ECS.Royan Ong, Joseph Stefanov, Al Riddoch, Harvey Rutt, ECS. Jane K. Hart, Sue Way, GeographyJane K. Hart, Sue Way, Geography Ian Marshall, BTExact;Ian Marshall, BTExact; Nathan Boyd and John Argirakis, InteliSYSNathan Boyd and John Argirakis, InteliSYS Funded by:Funded by: the Royal Society & DTI's Nextwave programme. the Royal Society & DTI's Nextwave programme.