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Civil Protection System

NetTechnologies Stand: E10

Technical Characteristics and System Features

-Advanced features are developed in the system.

-These features include AI techniques, Machine Learning algorithms, Heterogenous data fusion and complex-aware analysis, neural nets and DSS

Moreover, beyond state of the art parts are embedded and give a clear leadership as compared to the competition

Real time environmental monitoring using low power on field sensors (e.g. humidity, temperature, air pollutants sensors, smoke detector, UV lights sensor, gas sensor), terrestrial imagery (using drones and satellites) and observational meteorological data

Heterogeneous data fusion and context-aware analysis, towards zero-touch emergency event identification

•Time Series data correlation analysis, towards proactive detection of potential future emergency events in a pre-defined time period (e.g. minutes, hours, days, weeks) exploiting a variety of Artificial Intelligent (AI) - driven techniques (e.g. Recurrent Neural Networks (RNNs), advanced regression techniques, Ensemble Learning).

- Proactive emergency alerts in conjunction with Decision Support System (DSS) for holistic and early access evacuation planning (decision-making actions).

- Decision Support System (DSS):lClustering analysis (Agglomerative Hierarchical Clustering, k-Means, Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSAN)) using geospatial data for automated civilians group forming and Safe Indoor/Outdoor Route Planning (SIRP/SORP)

•Safe Indoor Route Planning (SIRP): Civilians indoor positioning based on Wifi Received Signal Strength Indicators (RSSIs) and indoor navigation planning of each civilian group to the nearest building exit.

Safe Outdoor Route Planning (SORP): Based on proactive emergency event detection, real time monitoring for blocked, overcrowded and unsafe routes, an AI-driven SRP is produced towards providing navigation directions to each civilian group to the closest safety point along with information related to the estimated time of arrival and distance in Km (from the centroid of the civilians group to the geolocation coordinates of the safety point).

•Decision Support System (DSS):

Fleet Control: System for automated emergency analysis and management. Severity level identification and estimation of the number of the mandatory emergency forces required to control and eliminate the hazardous event. Immediate notification alert for intervention from the nearest necessary emergency departments.

Benefits of our system

Provides a real-time monitoring of all events/disasters occurring in a certain area.

The interconnection of multiple emergency departments, enables an homogeneous coordination of heterogeneous resources.

The user can update the environment with real time data on new events.

An easy to use administrative part and on the end user side, which is vital in emergency scenarios.

Being a cloud based service, it has almost 100% up-time and can be configured and updated easily and quickly. 


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