An early warning system (EWS) is a distributed system that monitors the physical world and issues warnings if it detects abnormal situations. The In-ternet-of-Things (IoT) offers opportunities to improve monitoring capabilities of EWS and to realize (near) real-time warning and response. This paper presents the development of an interoperable IoT-based EWS to detect accident risks with trucks that deliver goods at the Valencia port area. Our solution addresses the semantic integration of a variety of data sources with processing in safety-critical applications for effective emergency response. The solution considers existing domain-specific ontologies and standards, along with their serialization formats. Accident risks are assessed by monitoring the drivers’ vital signs with ECG med- ical wearables, and the trucks’ position with speed and accelerometer data. Use cases include the detection of health issues and vehicle collision with dangerous goods. This EWS is developed with the SEMIoTICS framework, which encom-passes a model-driven architecture that guides the application of data representa-tions, transformations and distributed software components. This framework en- ables an EWS to act as a semantic broker for situation-aware decision support.
|Publication status||Published - 2018|
|Event||Interoperability of Enterprise Systems and Applications: Smart Services and Business Impact of Enterprise Interoperability - Berlin, Germany|
Duration: 21 Mar 2018 → 23 Mar 2018
|Conference||Interoperability of Enterprise Systems and Applications|
|Abbreviated title||I-ESA 2018|
|Period||21/03/18 → 23/03/18|