Protecting Rescue Workers Deployed In A Catastrophe

When handling an emergency, firefighters are exposed to a number of risks: noxious fumes, blocked escape paths, potential building collapse. The safety of emergency crews and the efficient locating of persons buried under the rubble are key issues, and not only in the event of a major catastrophe, such as the collapse of the Cologne Historic Archives on March 3, 2009. Emergency managers have to know exactly where their teams are, and if they might be exposed to poisonous gases. Modern localization systems provide excellent service in this situation. It is also the only optimal way to integrate rescue teams into emergency planning.

By contrast, ineffective control station management, communication gaps and inadequate coordination of response strategies impair most extraordinarily time-critical rescue work. For this reason, experts today are pursuing the positioning of rescue teams and needed rescue supplies and equipment with the aid of Global Navigation Satellite Systems (GNSS), which, in addition to GPS, also include Europe's Galileo and Russia's GLONASS. Fraunhofer scientists have established a Galileo lab for developing the new GNSS-based localization technologies. At the transport logistics trade show in Munich from May 12 to 15, scientists will present the results of their investigations at the Fraunhofer joint exhibition stand.

For their endeavors, researchers are using the Galileo satellite navigation system which - unlike GPS - is a civilian-controlled system. Absent military control, it is easier to implement special services for civil applications, such as rescue operations. Examples of this include "Search and Rescue" or "Safety of Life". At the Fraunhofer Galileo Lab, experts are working assiduously to provide services that localize individuals or goods in industry and the economy, transportation and mobility. With this goal in mind, scientists from nine Fraunhofer Institutes and the Fraunhofer Transport and Traffic Alliance have bundled their expertise. Currently, the researchers are concentrating on five fields of application: travel assistance, logistics,environmental applications such as emission monitoring, infrastructure construction and safety.

“If you analyze different target groups, such as logistics, travel assistance, environmental monitoring or security services, it quickly becomes evident that the tasks are similar in terms of system architecture. Similar structures and content are always needed on similar end devices. For example, data indicating where an individual is located; sensors that deliver specific values such as toxic gas concentrations; or end devices that function as clients. Our objective is to offer a universal, service-oriented software architecture that works as a building-block system to allow configurable application profiles,” explains project manager Werner Schönewolf of the Fraunhofer Institute for Production Systems and Design Technology IPK in Berlin.

Take travel assistance for instance. When train passengers change trains at the station, a cell phone or PDA may soon be guiding them to the right connecting train without the passengers actually having to operate the devices. “This is possible through the context recognition in the end device. We connect the train schedule data with the positioning, so people can navigate themselves safely to the train, even in a labyrinthine train station," explains Schönewolf. “In catastrophic events, we connect sites with toxic gas sensors, and then can detect danger early on.”

The experts not only use Galileo data, but are also testing combined receivers for various satellite systems, since more precise navigation and ultimately better positioning - whether in the city or the wilderness - can be achieved with the collective total of all satellites in the skies. “We’re developing our GNSS platform from the collective data gathered from GPS, GLONASS - the Russian satellite network – and Galileo,” says Schönewolf. With data from 70 satellites in the sky, people and goods can be located much more precisely than ever before - even in deep canyons of urban areas, which were a challenge until now".