SciTransfer
RETIME · Project

AI-Driven Urban Disaster Alert and Building Resilience System for Smarter Cities

constructionTestedTRL 5

Imagine a city that knows exactly which buildings are most at risk during a heatwave or flood and tells the right people instantly. It's like giving a city a nervous system that connects weather satellites to individual home sensors. This helps the most vulnerable people get to safety before a disaster hits.

By the numbers
4
innovative adaptation solutions
3
pilot areas
18
consortium partners
The business problem

What needed solving

Cities struggle to protect vulnerable citizens from climate disasters because they lack real-time, building-specific data and a way to send targeted alerts to those who cannot easily evacuate.

The solution

What was built

A suite of 4 tools: an automated sensor alert system, a Digital Building Twin, a Digital Building Renovation Passport, and a Decision Support platform.

Audience

Who needs this

Smart City technology integratorsMunicipal emergency management departmentsGreen building certification bodiesUrban resilience consultantsInsurance companies specializing in climate risk
Business applications

Who can put this to work

Real Estate & Facility Management
enterprise
Target: Property Management Firm

If you are a property management firm dealing with aging building stocks and climate risks — this project developed a Digital Building Twin and Renovation Passport that identifies critical hotspots to prioritize structural upgrades.

Public Safety Technology
SME
Target: Emergency Response Software Provider

If you are a software provider dealing with slow emergency notification speeds — this project developed a sensor-based IT automated alert system that prioritizes warnings based on the specific architectural and social context of the area.

Urban Planning
any
Target: Municipal Planning Agency

If you are a planning agency dealing with uncontrolled urbanization and flood risks — this project developed a Decision Support platform that uses satellite images and sensor networks to simulate future disaster projections.

Frequently asked

Quick answers

What is the cost or pricing model for these tools?

Based on available project data, no pricing or cost information is provided as this is a research and innovation action.

Can this be scaled to a global industrial level?

The project is currently being tested in 3 pilot areas across Portugal, Slovakia, and Estonia to prove the concept before wider scaling.

Who owns the IP and how is licensing handled?

Based on available project data, specific IP and licensing terms are not listed; however, the consortium includes 18 partners including 6 industry entities.

How does this integrate with existing city infrastructure?

It integrates by aggregating existing data from weather stations, sensor networks, and satellite images into a single data-driven tool.

What is the timeline for deployment?

The project period runs from 2024-05-01 to 2028-04-30, suggesting a multi-year development and piloting phase.

Consortium

Who built it

The consortium is well-balanced for commercialization, featuring 18 partners with a 33% industry ratio (6 companies). The presence of 5 SMEs suggests a focus on agile development and specialized tech implementation, while the mix of 5 universities and 4 research centers ensures the scientific validity of the computational analysis.

How to reach the team

Contact the Technology Transfer and Valorization Center at ISCTE Knowledge and Innovation Association in Portugal.

Next steps

Talk to the team behind this work.

Contact us to connect with the RETIME consortium for pilot integration.