Solutions · Civil defense & emergency management
See how disruption moves across a territory.
A hospital that loses power, a road that floods at the wrong hour, an industrial site a street away from homes: the events that define an emergency rarely stay inside one service. Aegis maps a territory's assets and the interactions between them, so civil-protection and emergency-management teams can see consequences early, plan against whole chains, and keep their own judgment at the centre of the decision.
How civil-defense teams use Aegis.
Territorial risk assessment
Assemble facilities, infrastructure and natural layers into one legible view, and classify what is exposed before a plan is written.
Emergency scenario preparation
Place an initiating event, read its footprint, and walk the affected services with the team that would respond.
Critical-node identification
Surface the high-connectivity and deep-dependency assets the territory cannot lose, before an incident forces the question.
Urban & infrastructure planning
Read a zoning, power or roads decision against the dependency graph it lands in, across departments and network owners.
Fragmented datasets become one system view.
Most territories hold their risk in a dozen unconnected files while good data sources go unused. Aegis pulls them onto one map you can reason over.
An area scan populates the map with facilities and classifies them by type and risk level: hospitals, schools, shelters, substations, water and waste, hazardous industry. Infrastructure layers add roads, railways, the power grid and telecoms. Natural layers add rivers and water bodies, terrain and land use.
A tilted 3D exposure view puts building height and terrain back into the picture, so a flood depth or a plume reads against the place it would actually affect.
aegis · 3d exposure · taoyuan · rivers, terrain + land use
Different mechanisms need different models.
A cascade is not one physics problem. A plume disperses, a river inundates, a substation sheds a dependent load. Aegis assesses each with the model built for that mechanism, rather than forcing everything through one generic score.
Aegis draws on a catalogue of focused micro-models. Some are physics-based, such as dispersion, inundation and blast; others are the relationship logic that classifies how one asset reaches the next, by exposure, dependency, vicinity or shared resource, and by their spatial and temporal relationship. For each scenario it selects the model that best fits the data actually available for your territory.
The choice is recorded per scenario, including what would improve it. The result is a structured, auditable assessment a planning team can read and challenge, transparent decision support that strengthens scenario discussion and keeps expert judgment at the centre of the response.
One micro-model: dispersion · illustration, one mechanism among several in a cascade
The questions an operations room actually asks.
Aegis classifies how each asset can reach the next by type, space and time, then follows the chain. The point is not the graph; it is the answers it gives you before the event.
Which facilities are exposed first?
The footprint lands on classified facilities, so the first ring reads as named hospitals, schools and substations inside severity bands, not a radius on a slide.
Which services are disrupted indirectly?
Dependency links carry the event past the impact zone: the pumping station that follows the substation, the clinic that follows the water main.
What constrains the response itself?
Access and mechanism links flag the bridge, corridor or staging ground a response plan silently depends on, before it is committed.
Where can one event take down several services?
Shared-resource links and spatial concentration show where separate services draw on one supply, one corridor or one site.
Which assumptions can be audited?
Every link traces back to the rule that created it, so a planning room can challenge the chain instead of trusting a diagram.
No service runs alone.
Hospital lighting, hydrant pressure and a working control room are the visible ends of physical networks: feeders, mains, corridors, masts. Aegis reads how those networks share space and load, which an asset-by-asset register cannot.
aegis · relationship graph · 1,345 assets · 6,141 links
High-connectivity nodes
The assets many others route through, ranked by connection count.
Dependency depth
How far a failure travels upstream along supply and access chains.
Shared resources
Where separate assets draw on one supply, corridor or facility.
Spatial concentration
Where too much sits inside one footprint or along one route.
The same engine, other fronts
