Groundwater Monitoring using Smart Sensors

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Groundwater Monitoring using Smart Sensors

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System (Aquifer) Inputs (precipitation) Outputs (pumping, ... aquifer. water table. infiltration. pumping. 4/13/09. University of Nebraska Lincoln. 5 ... – PowerPoint PPT presentation

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Title: Groundwater Monitoring using Smart Sensors


1
Groundwater Monitoring using Smart Sensors
MS Project presentation
  • Srikanth Anumalla
  • Advisor Dr. Byrav Ramamurthy

2
Overview
  • Groundwater Monitoring
  • Current Methods
  • Our Idea
  • Prototype Implementation
  • Challenges
  • Related Work
  • Demo

3
Groundwater
  • Groundwater
  • Groundwater is water that is found underground in
    the cracks and spaces in soil, sand, and rocks.
  • Principal source of drinking water for 50
    population in US

4
Groundwater Monitoring
  • Need
  • Management of well fields
  • Response to large scale pumping
  • Response to precipitation
  • Continuous sensitivity to climate changes
  • Contamination
  • Data
  • Groundwater Level
  • Groundwater quality

condensation
transpiration
precipitation
evaporation
pumping
infiltration
water table
discharge area
aquifer
groundwater flow
5
Groundwater Level
underground surface below which the ground is
wholly saturated with water (Websters)
Measuring point
Land Surface
Groundwater Level (elevation)
Depth to water from LS
Water Level
6
Groundwater Level Measurement
  • Measurement
  • Manual (Steel tape, Electric-
    -tape)
  • Pressure transducer

Measuring point
Land Surface
Length of cable
Groundwater Level (elevation)
Water Level
Length measured by Pressure transducer
Pressure transducer
7
Groundwater level data usage
  • To determine annual changes of groundwater in
    storage
  • To estimate recharge rates
  • To determine direction and gradient of
    groundwater flow
  • To develop groundwater models and forecast trends
  • To design, implement, and monitor the
    effectiveness of groundwater management and
    protection programs

8
Data Collection in Nebraska Natural Resource
Districts (NRD)
  • Using pressure transducer
  • Manual collection of data
  • Usually two times a year, often once a year
  • Disadvantages
  • Delay in data availability
  • Cost (people, travel, and other logistics)

9
Real-time groundwater monitoring
  • Water managers need more timely and accurate data
    to assess ground water conditions to manage
    adverse situations such as drought and loss of
    pumpage in residential water supply
  • Commercial off-the-shelf solution exists (e.g.
    Solinst STS)
  • Large scale deployment is prohibitively costly

10
Our idea
  • To develop a low-cost and flexible real-time
    groundwater level monitoring system leveraging
    the latest advancements in sensor and network
    technologies
  • Using
  • Low cost Field Programmable Gate Arrays (FPGA)
  • IEEE 802.11b Wireless LAN

11
Overview of the system
12
Components of the system
  • Data Acquisition Unit (DAU)
  • FPGA and Analog-Digital converters
  • Data Transfer Unit (DTU)
  • IEEE 802.11b WLAN
  • Data Processing Unit (DPU)
  • Custom software

13
Data Acquisition Unit (DAU)
  • Consists of
  • Pressure sensor
  • Analog-Digital converter
  • IEEE 802.11b enabled FPGA
  • Solar Panel for power
  • Functionality
  • Data acquisition
  • Temporary data storage
  • Response to data requests

14
Data Transfer Unit (DTU)
  • Connectivity between base station and nodes using
    IEEE 802.11b Wireless LAN
  • Light weight routing protocols to solve line of
    sight problem
  • High gain directional antennas for long range
    wireless connectivity

15
Data Processing Unit (DPU)
  • Implemented in a software module
  • Support for different types of data presentation
    (Graphs, tables)
  • New analysis techniques

16
Project Objective
  • To develop a prototype implementation for Data
    Acquisition Unit (DAU)
  • Responsible for collecting the water level data
    from a water column, storing the data locally and
    responding to the requests from a remote
    location.
  • To develop a prototype implementation for Data
    Processing Unit (DPU)
  • DPU initiates the requests for data from the data
    acquisition unit, collects the data and displays
    and/or archives it.

17
Technologies used
  • Pressure Transducer (Unidatas 6508)
  • Field Programmable Gate Array (Alteras Stratix
    FPGA)
  • Analog-to-Digital converter (TIs TLC02820ACN)
  • IEEE 802.11b Wireless antenna (DLinks DWL-810)
  • Java

18
Field Programmable Gate Arrays
  • Large number of simple logic blocks
  • Number of I/O ports
  • Custom hardware
  • Reconfigurable
  • Low cost

FPGA development board
19
IEEE 802.11b (Wi-Fi)
  • Layer 2 protocol for Wireless LANs
  • Maximum throughput of 11Mbps
  • Maximum range of 150-200ft but
  • can be extended to several miles
  • using high gain antennas
  • Widely accepted standard

20
DAU Prototype Implementation
FPGA Altera Stratix
A/D Converter
Antenna
Dlink Ethernet wireless bridge
Unidata Pressure sensor
21
DAU Implementation (Contd.)
  • Device driver for TIs AD converter
  • Standard 32 bit hardware for FPGA with Networking
    support
  • Server program running on FPGA listening to data
    requests

22
Water level calculation
  • Analog voltage output from sensor is 0 to 2.55 V
  • Range of pressure sensor is 0-5m or 0-16.4ft
    (20mm resolution)
  • If digitized value from 8-bit AD converter is X
    then
  • depth of pressure sensor (X/255)5 meters
    or (X/255)16.4 ft
  • Water elevation elevation of the ground -
    length of the cable depth measured by pressure
    sensor

Measuring point
Land Surface
Length of cable
Groundwater Level (elevation)
Water Level
Length measured by Pressure transducer
Pressure transducer
23
DPU Prototype Implementation
  • Graphically displays the data in real-time
  • Archives the data in a MySql database
  • Provision to view the data for a specific period
    of time

24
Cost table for DAU
Solinst Telemetry System costs 2500 per
node Retail price, academic discounted price is
often lower
25
Challenges
  • Cost
  • Battery Life
  • Line of Sight
  • Flexibility

26
Related work
  • Berkeley Motes
  • For massively distributed sensor networks
  • Power, sensing, computation and communication in
    a cubic millimeter
  • High Performance Wireless Research and Education
    Network
  • Concentrates on wide range IEEE 802.11
  • Reconfigurable sensor networks
  • Applied to micro climate monitoring
  • Bellman Ford routing algorithm for line of sight
    problem

27
Demo
28
Questions?
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