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Enabling Technologies for Monitoring and Control of ICUBE Mohammed Koni 1 , Swarnendu Kar 1 , Priyadip Ray 1 , Onur Ozdemir 1 , Can Isik 1 , H. Ezzat Khalifa 2 and Pramod K. Varshney 1 1 Dept of Electrical Engineering and Computer Science, 2 Dept of Mechanical and Aerospace Engineering, Syracuse University Introduction Optimal Control for ICUBE Approaches Numerical Optimization Analytical Controllers Objective Function? Reduced-order first-principles models Data-based (semi-empirical) models Need experimental data for validation (A) Need experimental data (B) Need experimental data for validation (C) Need sensor networks and people tracking system Hardware: Build, install, calibrate and test Software: Database (storage and retrieval) Optimal Control of Micro-Environments • Requires sensing of IAQ (Indoor Air Quality) parameters at high spatial resolution • WSN (Wireless Sensor Network) can provide a low cost solution with added flexibility Reducing Exposure of Occupants • Research requires the ground truth knowledge regarding occupants • PTS (People Tracking System) provides accurate information of occupants’ location Wireless Sensor Networks People Tracking System Sensor Network Equipments • CrossBow IRIS 2.4 GHz Motes • Onboard Sensiron Temperature, RH sensors • 40 Siemens CO2,VOC sensors • 16 units have been assembled and are in use CO2 Sensor – Manufacturer Specifications CO2 Sensors incorporated in Wireless Sensor Motes • Siemens QPA2002 CO2 Sensor Specifications Range: 0 to 2,000 ppm Response Time: 5 minute High Precision CO2 Sensor used for Calibration • WolfSense IQ-410 Air Quality Sensor Specifications Range: 0 to 10,000 ppm Response Time: 90% response <1 minute Front, Side and Inside views of our WSN units Experimental Setup for CO2 Calibration Sensor responses to different concentration levels of CO2 (in p.p.m) are approximately linear with nearly identical slopes • Operating range 400-1600 ppm • Different biases • System used for locating and tracking resources that are tagged in real time. • Uses UWB (Ultra Wide Band) technology. • Two types of tags Slim tags & compact tags Both types transmit resource location ( i.e Person or sensor node) to the location sensor UWB Transmitters and Receivers Ultrawideband: 6GHz – 8GHz Telemetry channel: 2.4GHz Compact Tag Antenna Pattern -30 -20 -10 0 0 30 60 90 120 150 180 210 240 270 300 330 360 7000 Series Location Sensor Compact Tag Slim Tag Sample Data Collected from Wireless Sensor Network 09:00 12:00 15:00 350 400 450 500 550 600 650 700 Time (27-Aug-08) ICUBE CO 2 Concentration WSN-2 WSN-8 WSN-9 WSN-11 WSN-14 ICUBE Layout

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Page 1: Enabling Technologies for Monitoring and Control …swkar.mysite.syr.edu/docs/icube_SEES.pdfEnabling Technologies for Monitoring and Control of ICUBE Mohammed Koni1, Swarnendu Kar1,

Enabling Technologies for Monitoring and Control of ICUBE Mohammed Koni1, Swarnendu Kar1, Priyadip Ray1, Onur Ozdemir1, Can Isik1, H. Ezzat Khalifa2 and Pramod K. Varshney1

1Dept of Electrical Engineering and Computer Science, 2Dept of Mechanical and Aerospace Engineering, Syracuse University

Introduction

Optimal Control for

ICUBE

Approaches

Numerical Optimization

Analytical Controllers

Objective Function?

Reduced-order first-principles

models

Data-based (semi-empirical)

models

Need experimental data for validation (A)

Need experimental data

(B)

Need experimental data for validation (C)

Need sensor networks and

people tracking system

Hardware: Build, install, calibrate and

test

Software: Database

(storage and retrieval)

Optimal Control of Micro-Environments • Requires sensing of IAQ (Indoor Air Quality) parameters at high spatial resolution • WSN (Wireless Sensor Network) can provide a low cost solution with added flexibility Reducing Exposure of Occupants • Research requires the ground truth knowledge regarding occupants • PTS (People Tracking System) provides accurate information of occupants’ location

Wireless Sensor Networks People Tracking System

Sensor Network Equipments • CrossBow IRIS 2.4 GHz Motes • Onboard Sensiron Temperature, RH sensors • 40 Siemens CO2,VOC sensors • 16 units have been assembled and are in use

CO2 Sensor – Manufacturer Specifications

CO2 Sensors incorporated in Wireless Sensor Motes • Siemens QPA2002 CO2 Sensor Specifications Range: 0 to 2,000 ppm Response Time: 5 minute

High Precision CO2 Sensor used for Calibration • WolfSense IQ-410 Air Quality Sensor Specifications Range: 0 to 10,000 ppm Response Time: 90% response <1 minute

Front, Side and Inside views of our WSN units

Experimental Setup for CO2 Calibration

Sensor responses to different concentration levels of CO2 (in p.p.m) are approximately linear with nearly identical slopes • Operating range 400-1600 ppm • Different biases

• System used for locating and tracking resources that are tagged in real time. • Uses UWB (Ultra Wide Band) technology. • Two types of tags Slim tags & compact tags Both types transmit resource location ( i.e Person or sensor node) to the location sensor

UWB Transmitters and Receivers • Ultrawideband: 6GHz – 8GHz Telemetry channel: 2.4GHz

Compact Tag Antenna Pattern

-30

-20

-10

00

30

60

90

120

150

180210

240

270

300

330

360

7000 Series Location Sensor Compact Tag Slim Tag

Sample Data Collected from Wireless Sensor Network

09:00 12:00 15:00350

400

450

500

550

600

650

700

Time (27-Aug-08)

ICU

BE

CO

2 Con

cent

ratio

n

WSN-2WSN-8WSN-9WSN-11WSN-14

ICUBE Layout

Page 2: Enabling Technologies for Monitoring and Control …swkar.mysite.syr.edu/docs/icube_SEES.pdfEnabling Technologies for Monitoring and Control of ICUBE Mohammed Koni1, Swarnendu Kar1,

Database and Software Development for Sensor Systems in ICUBE

Mohammed Koni1, Swarnendu Kar1, Priyadip Ray1, Onur Ozdemir1, Can Isik1, H. Ezzat Khalifa2 and Pramod K. Varshney1

1Dept of Electrical Engineering and Computer Science, 2Dept of Mechanical and Aerospace Engineering, Syracuse University

Introduction

OSFA ICUBE has the following systems: People Tracking System/Network Tracks people within the ICUBE layout Can also be used to track the position of portable wireless sensors Two type of tracking badges (compact tags and slim tags) Currently in its final testing stage

Wireless Sensor Network Measures CO2 and VOC concentrations, temperature and relative humidity Can have multiple sensors in one cubicle Can have sensors in hallways

Deployed successfully Flexible and handy Currently calibration tests are being preformed to ensure collecting accurate environmental data

Stationary Environmental System Measures CO2 and VOC concentrations, temperature and relative humidity in each cubicle Installed by Day Automation System company

Need software to organize, store, retrieve and post-process data from sensor systems

Software Architecture

Wireless Sensor Network Software

Software to access Wireless Sensor Network Database had be developed: access sensors data collected by WSN. execute queries on the database based on different inputs: sensor type, starting date, ending date, and node number.

Generate .txt or .csv files based on user query and allow users to download them on their machines. Provide users with different settings: Choose sampling rate. Choose filtering algorithm. Choose the way data stored in files.

Database is located on the server. develop web-based application to access data across the local network

Web application is an application that is accessed via Web browser over a network such as the Internet or an intranet No need to install applications at client’s PC. Access data using browser

Graphical User Interface Developed To Access WSN Database

Software was designed in a way to achieve high level standard design attributes Abstraction: logical model of component’s responsibilities Modularity: partitioning into cohesive components Size and Complexity: each component is small and simple enough to test thoroughly Extensibility: new modules can be added easily and in an effective way

People Tracking Network Software

Snapshot of WSN topology of the ICUBE -moteView software

MoteView software; an analysis and monitoring package provides the user visualization software and graphical interface for managing the network

Graphical User Interface Developed To Access PTS Database

An engine for PTS has been developed and now it is under testing. Captures live data from Tracking Network. Data: location: X,Y,Z and cubicle number. Stores data into DB.

This engine is event-driven application. Logs data as tags move. When tag is not moving it goes into sleep mode. It will not transmit location data.

Snapshot of active PTS map in ICUBE

Snapshot of PTS Engine

Demonstrates the three layers of the deployed system

Systems Architecture