An early warning system (EWS) is a distributed system that monitors the physical world and issues warnings if it detects abnormal situations. The Internet-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 medical 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 representations, transformations and distributed software components. This framework enables an EWS to act as a semantic broker for situation-aware decision support.
|Publication status||Published - 1 Nov 2018|
|Event||Interoperability for Enterprise Systems and Applications 2018 - Berlin, Germany|
Duration: 22 Mar 2018 → 23 Mar 2018
|Conference||Interoperability for Enterprise Systems and Applications 2018|
|Abbreviated title||I-ESA 2018|
|Period||22/03/18 → 23/03/18|
- Semantic interoperability
- Early warning system
Moreira, J. L., van Sinderen, M. J., Ferreira Pires, L., Wieringa, R. J., Singh, P. M., Dockhorn Costa, P., & Llop, M. (2018). Improving the semantic interoperability of IoT Early Warning Systems: the Port of Valencia use case. Paper presented at Interoperability for Enterprise Systems and Applications 2018, Berlin, Germany.