IoT Platform for data sovereignty and data exchange between organisations

Application Track:

Code:

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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.

Description:

Stakeholders:  Municipalities, Emergency Responders, Healthcare Services, Civil Protection Agents; Police; Traffic Managers; Environmental Agencies; Disease Control Agencies; 

Description: 

This challenge shall provide an IoT platform for managing a crisis, aiding in the real-time status of the personnel, positioning of the assets and previously identified risks and assessing them, as well as, predicting consequences and potential new risks. Focused on Emergency Management, this platform manages risks for communities, the environment, and infrastructure. 

Despite being core for Emergency Services, every individual and organization has a role to play. In addition, this platform shall use IoT sensors and data generated at the edge to increase the ability to collect data, support informed decisions, reduce communication latency and distribute the processing power and overall availability of the information at different stages of the information flow (far edge, edge, core, cloud). The platform should rely on existing data, gathered or produced by multiple organizations and/or collected by devices, fusion it, process it, and use different approaches like modeling, statistical information, or ML tools, at different stages, in order to support decision-making and orchestration of different agents, either humans or not.

Data:

DIH Data Provider:

The data needed to implement the aforementioned scenario should cover all the aspects related to crisis management. Such datasets should include the actors of the emergency scenario, risk management, the hazard itself, nearby points of interest that can mitigate the hazard, and any other relevant models for the use case. Data will be facilitated by a municipality and/or relevant stakeholders for the scenario and will include Points of Interest, Assets (e.g. equipment or infrastructures), Pre-identified Risks, hazards or Failures detected, among others. Initial datasets will be supplied and published in the REACH repository.

• Asset
• Hazard
• Measure
  

These datasets will be 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 publicly available 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, may be relevant and can be obtained from Open Data Sources, which can be chosen by participants in cooperation with the DIH.

Expected outcomes:

• Creating an IoT Platform for exchanging sensitive data between organizations leading to actionable insights and decision-making processes.