Optimization of Bilbao firefighters’ interventions

Application Track:

Code:

Domain:

Proposed by:

Entity Logo:

Summary of the entity:

CONNECT5 – DIH for Connectivity, CPS, IoT, Cloud/Edge, and Data Analytics is a national and European DIH supporting the digital and green transformation of SMEs and public organizations. CONNECT5 is a collaborative network, in the form of a Consortium of 12 entities (RTO, polytechnic institutes, universities), with a high level of expertise in digital technologies, state-of-the-art infrastructures and a deep nationwide network of contacts (companies, business associations, public entities, etc.) bringing together their complementary expertise and assets, to create a unique value platform. 

CONNECT5’s will leverage its capabilities based on Cyber-Physical Systems (CPS), Internet of Things (IoT), Communications networks (5G and 6G), infrastructures (Cloud and Edge Computing), Big Data platforms, and analytical data processing, supported by Artificial Intelligence (AI), Cybersecurity and High-performance computing (HPC) when required, enabling the target entities to evaluate its impacts and the feasibility to their business before further investing in it. 

The services provided by CONNECT5 will be based on 4 main domains:  

                           i.Test before investing;  

                          ii. Skills and training; 

                         iii. Support to find investment; 

                        iv. Innovation ecosystem and networking.  

Included in the action plan are also the Digital Maturity Assessment, transformation proposal, and acceleration with the DTA. 

CONNECT5 will provide a wide range of services that will enable any beneficiary to access the latest knowledge, expertise, and technology with a special focus on the connectivity dimension for testing and experimenting with digital innovation relevant to their activity, matching their needs with digital solutions already available or in an advanced phase of deployment.

Summary of the challenge:

Based on historical data of Bilbao firefighters’ mobilizations, interventions, and emergencies, and environmental data such as weather alerts, events in the city of Bilbao, and actors of the emergency scenario, risk management, the hazard itself, and nearby points of interest that can mitigate the hazard, the objective of this challenge is to optimize the sizing and the deployment of the firefighter teams.

Description:

Stakeholders:  Municipalities, Emergency Responders, and Civil Protection Agents. 

Description: 

Based on the “IoT platform for improving data exchange between organizations over an Emergency Scenario” described in challenge REACH-2022-THEMEDRIVEN-CONNECT5_1, the “Mesh network for public response and prediction of critical scenario” described in challenge REACH-2022-THEMEDRIVEN-CONNECT5_2, or the combination of both, this challenge aims to develop a system with the Bilbao firefighter service as objective, in order to optimize their interventions in terms of team sizing, deployment locations and response time.

At this challenge, an analytical solution is expected, i.e., a dashboard to help managers of the Bilbao firefighter service in decision-making.

Data:

Datasets provided by Bilbao City Council:

• Firefighter intervention
• Mobilization tactic
• Intervention tactic
• Emergency tactic
• Events in Bilbao
• Weather alert

These datasets must be modeled according to SmartDataModels (https://smartdatamodels.org/index.php/10-risk-management-data-models-published/), namely:

• https://github.com/smart-data-models/dataModel.PointOfInterest
• https://github.com/smart-data-models/dataModel.RiskManagement/blob/master/Risk/README.md
• https://github.com/smart-data-models/dataModel.RiskManagement/blob/master/Hazard/README.md
• https://github.com/smart-data-models/dataModel.RiskManagement/blob/master/Asset/README.md

Other relevant data can be found in Open Source Datasets or in existing REACH DVC Themes. (Energy, Health, and others). This can be further detailed during the implementation phase but data related to weather conditions, for example, is relevant and can be obtained from Open Data Sources

Expected outcomes:

A service to “optimize the sizing and the deployment of the firefighter teams”.