Name
Abstract | ||
|---|---|---|
Water Pipeline Monitoring System (WPMS) is extremely important considering the several pipeline damages and the various hydraulic failures that cause a critical water loss. In this context, Cognitive Water Distribution System integrates Internet of Things (IoT) technology, based on smart sensors, actuators and connected objects, with a reliable Big Data processing for smart and robust Structural Health Monitoring (SHM) of pipelines. In this paper, we propose a cognitive IoT-based architecture where we used Apache Spark framework to maintain a real time processing of the large amount of collected data. This efficient processing of measured data and its correspondent calculated values simplify the transient simulations and leak detection and make it faster and easier.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/DISTRA.2018.8600999 | DS-RT |
Keywords | Field | DocType |
big data, cognitive IoT, simulation, water monitoring system | Architecture,Pipeline transport,Hydraulic machinery,Spark (mathematics),Structural health monitoring,Computer science,Real-time computing,Cognition,Big data,Actuator | Conference |
ISSN | ISBN | Citations |
1550-6525 | 978-1-5386-5048-6 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maroua Abdelhafidh | 1 | 0 | 0.68 |
| Mohamed Fourati | 2 | 5 | 3.53 |
| Lamia Chaari Fourati | 3 | 78 | 24.90 |
| Adel Ben Mnaouer | 4 | 90 | 17.25 |
| Mokhtar Zid | 5 | 0 | 0.34 |