Systems for the surveillance of tunnels utilize various sensor data to inform operators in case of emergency situations. In many disaster scenarios, however, avalanches of alarm messages are generated within a short time. This makes it difficult or even impossible for operators to maintain an overview of the situation and to react appropriately. The goal of the project INFOSAW is to significantly increase the situation awareness of operators even in disaster scenarios by providing a system that combines intelligent data processing with innovative visualization techniques.
The approach comprises the conception and implementation of two software components: a server component for data processing and a client component for visualization and user interaction. In this application context, the data consists of messages and alarms as generated by the Incident Detection System (IDS) by Kapsch TrafficCom, as well as other state messages originating from a SCADA system. The processing of the data involves an assessment of the plausibility and relevance of messages, the aggregation of multiple raw events to obtain descriptions of semantically meaningful high-level situations (e.g., the expansion of smoke), and a prediction of future developments of such situations. The main goal of the visualization client is to utilize this enriched data in order to provide an overview of the current traffic situation in the tunnel by visualizing the history, the present state, and the prediction of the future development. Further tasks of the visualization part comprise an access to current video and to historic image material, an overview of the state of technical components, and details about a user-defined point of the tunnel with respect to both time and space.