Venkatesh Raghavan1 , Abhishek Mukherji1 , John P Woycheese2 , Elke A. Rundensteiner1 - PowerPoint PPT Presentation

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Venkatesh Raghavan1 , Abhishek Mukherji1 , John P Woycheese2 , Elke A. Rundensteiner1

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simulated fire streams against the live fire stream. 1 Computer Science Department, 2 Fire Protection Engineering Department Database Systems Research Group (DSRG) _at_ WPI – PowerPoint PPT presentation

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Title: Venkatesh Raghavan1 , Abhishek Mukherji1 , John P Woycheese2 , Elke A. Rundensteiner1


1
Venkatesh Raghavan1 , Abhishek Mukherji1 , John P
Woycheese2 , Elke A. Rundensteiner1
One Stream Per Sensor Device
VRML Modeling of the Test Arena
Sensor Reading (along with Alarm Levels)
Alarm
Goal Analyze measurements from large numbers of
sensor-streams. Integrate declarative queries
with sensor clustering. Exploit spatial
proximity to reason about spread. Control
associated data acquisition rates at run-time.
L3
L2
Detector Block
L1
Thermocouple Tree
Query Evaluation Over 100s of Sensors.
Sensors Streams
FireStream Architecture
High-ARY Join Operator
Data Stream Manager
Fire Monitoring Queries Ambient Condition
Evaluation Determination of environment
conditions over time by flexible aggregation of
streams and sensor meta data. Sensor Event
Detection Identification of a fire or smoke
event to trigger more computationally intensive
tracking queries. Monitor Fire
Spread Computation of smoke/heat clusters
composed of sensors to monitor movement of fire.
Spatial Store
Data Acquisition Controller
Fire Event Detection
Spatial Query Evaluation
Sensor Meta-data
Stream Matching Logic
Cluster Query Evaluation
Fire Monitoring Engine
Stream Query Logic
Query Execution Engine
Fire Models
Query Translator
Graphical User Interface
Fire Prediction
User Query
Result
Prediction of Live Fire
FireStream User Interface
Reduce participants in join processing by
exploiting sensor clustering based on meta
data. Compute relative distances among sensors
(direct path) by spatial query support, such as
nearest-neighbor, spatial-overlap etc.
Stream Matching Logic
Simulations
Cluster Movement
Application of data mining techniques by pattern
matching of simulated fire streams against the
live fire stream.
1 Computer Science Department, 2 Fire Protection
Engineering Department Database Systems Research
Group (DSRG) _at_ WPI
Note Bibliography of the diagrams with their
sources are listed in the handout
2
Sensors Streams
Data Stream Manager
FireStream Architecture
Spatial Store
Data Acquisition Controller
Fire Event Detection
Spatial Query Evaluation
Sensor Meta-data
Stream Matching Logic
Cluster Query Evaluation
Fire Monitoring Engine
Fire Models
Stream Query Logic
Query Execution Engine
Query Translator
Graphical User Interface
User Query
Result
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