Kongress und Messe  /  26.2.2019  -  28.2.2019

embedded world Konferenz 2019

Extreme Miniaturisierung bei zugleich immer höherer Rechnerleistung, effiziente Kommunikation vernetzter, oft auch mobiler Systeme – die Entwickler eingebetteter Systeme müssen enormen Anforderungen gerecht werden. Die Sicherheit elektronischer Systeme, verteilte Intelligenz, das Internet der Dinge und Lösungen für Zukunftsthemen wie E-Mobility und Energieeffizienz stehen als Schwerpunktthemen ganz oben auf der Agenda der Embedded-Branche.

Die embedded world Exhibition&Conference in Nürnberg bietet der Embedded-Community alljährlich die Gelegenheit, sich über Neuheiten zu informieren, sich auszutauschen und wertvolle Kontakte zu pflegen und aufzubauen. Mehr als 1.000 Aussteller präsentieren den State of the Art zu allen Facetten der Embedded-Technologien, von Bauelementen, Modulen und Komplettsystemen über Betriebssysteme und Software, Hard- und Softwaretools bis zu Dienstleistungen rund um Embedded-Systeme.

Auch das Fraunhofer IESE ist mit folgendem Vortrag dabei:

Safety in Cooperative Automated Systems

Mittwoch 27.02.2019, Session 8.4, 17:00 Uhr, Conference Counter NCC Ost, Dr. Daniel Schneider

There is an overarching trend in the application domains of embedded systems towards ever higher levels of automation and interconnection. Such systems harbor enormous potential regarding new types of services and applications. However, before compelling visions and ideas can be turned into actual economic and societal success, we need to tackle a series of important engineering challenges. One key challenge is the assurance of safety, because established methods and standards operate on the base assumption that systems and contexts are known completely – which can no longer be assumed. This talk presents correlated solution ideas and concepts to enable safety assurance of open/cooperative and highly automated systems. First, the applicability of current standards as well as open gaps are discussed. In particular, it is shown that merely considering functional safety is not sufficient. As additional dimensions, safety of the intended functionality as well as the engineering of a safe normal function must be considered. Moreover, complex behaviors and the utilization of machine learning technology pose the need for novel safety measures. Thus, an overview is given regarding different ML approaches and correlated means for assurances. Finally, based on these building blocks, a “dynamic risk management” concept is presented as a means to make cooperative systems resilient, i.e. to ensure safety on a system of systems level despite continuous dynamic changes.

Weitere Informationen zur Konferenz finden Sie hier