Università degli Studi di Siena — DIEM
Low Power Sensor Networks and
Embedded Sensing Systems
Dept. of Information Engineering and Mathematical Sciences
Research overview
| Application field | Industry |
| Technology | Sensors and sensor networks |
| Activity | Condition monitoring |
Keywords
Operation of the proposed solution
The research focuses on three complementary directions for advancing industrial condition monitoring systems through novel sensing technologies:
Novel sensors & gas composition monitoring
Development of novel sensors, sensor networks and embedded sensing systems that improve condition monitoring capabilities, with a particular focus on monitoring gas composition in industrial environments.
Robust sensing strategies with virtual redundancy
Design of novel sensors and sensing strategies to enhance the robustness of condition monitoring systems, including virtualization of redundancy through physical modeling.
Minimum-invasive wireless sensing with energy harvesting
Development of minimum-invasive sensing systems exploiting low-power technologies, low-power wireless data transmission, and energy harvesting — enabling self-sufficient sensor nodes with no wired power supply.
Open challenges
- 1 Enhancing the robustness of condition monitoring system components against noise, harsh environments and sensor degradation
- 2 Creating pervasive monitoring systems with minimum impact on the machine and plant structure
Selected bibliography
Video