Disaster Resilience Solutions
All the components within and beneath the built environment including buildings and infrastructure
such as roads, bridges, viaducts, tunnels, underground, railways, nuclear power plants, dams, and energy/water distribution network
are under the risk of inevitable seismic hazards such as earthquakes, and seaquakes leading to tsunamis;
and extreme weather events such as heat waves, droughts, heavy precipitation, storms, floods,
which occur more frequently than ever due to the climate change,
and cause altered ground conditions, and internal/external structural instability/damage,
consequently increasing the vulnerability of the built environment to seismic hazards and landslides.
Resilience Monitoring of Buildings and Infrastructure
The resilience of the built environment is ensured by its robust design and construction.
Nonetheless, the majority of the current structures (buildings and infrastructure) present a high seismic vulnerability
due to numerous unattended systemic problems caused by non-technical, mostly sociopolitical and economic, factors.
We develop high-end edge/IoT sensing systems and incorporate advanced signal processing, spectral analysis,
and AI-based pattern recognition techniques to analyse and detect/identify signal anomalies
indicating structural deficiencies and damages, and monitor the long-term condition of a building or infrastructure.
That leads to an intelligent and deeper analysis of the structures compared to conventional methods of monitoring structural resilience.
We have already developed sensor systems and analysis software for that purpose based on our
SigMote
and
DataMote platforms, currently at technology readiness level (TRL) of 7.
Disaster Search and Rescue System (DSAR)
DSAR is an end-to-end solution for survivor detection/localisation, disaster response, decision support, communication, coordination, and resource management.
Based on our
SigMote DSP-CV-AI edge-computing sensor platform,
and our advanced algorithms utilising digital signal processing, computer vision and artificial intelligence techniques,
we developed DSAR as a real-time, signal analysis edge network with a sophisticated data platform
with advanced data analysis, geographical information system (GIS) maps,
and a mobile application as a user interface for citizens, SAR teams and disaster authorities.
DSAR has a technology readiness level (TRL) of 6, and we are working towards testing and applying it in the actual field.
