In the era of Smart Cities and intelligent solutions dedicated to many areas (e.g. intelligent building, parking lots, critical infrastructure, etc.) it is possible to increase the level of comfort, safety and security by creating dedicated smart areas, where utilization of data sources is maximized by applying Internet of Things approach. The creation of smart areas, however, requires delivery of products that meet specific requirements, tailored to area of deployment, and rely on technologies that provide the necessary connectivity, which allows one to integrate many information sources, while providing appropriate level of security. Some of the areas may be more demanding in terms of safety, security and access rights management thus implementation of smart area approach is more challenging. Industrial facility is an example of such areas – from infrastructure point of view, it can be compared to a small city, where roads, parking lots, buildings, vehicles, and pedestrian traffic can be observed. On the other hand, safety- and security-related rules are more demanding. Usually industrial facilities are divided into different zones of access, where e.g. hazardous areas are only available for a certain group of users, and that requires precise methods of access right management and safety & security control. Currently used solutions are usually based on static infrastructure (barriers, access points) and do not ensure proper level of situation awareness.
The proposed work package is based on Building and Automotive use cases, and aims to deliver a cross-domain solution to extend safety and security level in industrial facility areas.
Ensure communication between car and infrastructure in order to increase the level of safety and security
Implement the trustable “car as a sensor” approach in order to highly increase situational awareness and enable flexible access rights management in challenging area
Develop intelligent mechanisms (ontology, context-aware reasoning) to increase the efficiency of safety & security systems
Develop a data integration model which allows for utilization of various types of data