RECKOn: A real-world, context-aware knowledge-based lab

The RECKON project focuses on interconnection technologies and context-aware data-analytics techniques to improve safety in workplaces, with the ultimate objective of identifying and preventing dangerous situations before accidents occur. In RECKON, prevention is interpreted through the latest monitoring, diagnostics and prognostics techniques from a safety perspective, allowing to detect and use, even in real time, a large amount of data about the entire operational context. Using sensor networks, we are able to collect information that is used in two ways: (i) when a potentially dangerous situation is detected, the system raises an alarm to prevent an accident, and (ii) whenever an accident or a near-miss (i.e., a potential accident that was narrowly averted) occurs, the related useful information is stored in a case report automatically generated and later used to update the accident-prevention politics. This work briefly describes the operational framework of RECKON, along with its modules and their interaction.