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Platforms for industrial cyber-physical systems integration: contradicting requirements as drivers for innovation

  • Peter Palensky
  • , Stefan Vielguth
  • , Florian Nadler
  • , Michael Heiss
  • , Andreas Oertl
  • , Monika Sturm
  • Siemens AG

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings without Presentation

Abstract

A variety of businesses are experiencing a boost in innovation due to cyber-physical systems. Consumer electronics, the health sector, the energy sector, or the automotive industry are examples of domains where the design and operations of highly integrated embedded systems are closer to physical processes than ever. New methods for describing, verifying, designing, and operating such integrated and often autonomously acting systems are required [1]. However, the biggest challenge likely lies in between these domains: the integration of distributed, multi-domain cyberphysical systems [2]. The combination and integration of diverse CPSs lead to an entirely new magnitude of applications and design challenges regarding the resulting CPS. An autonomous, electric vehicle may serve as an illustrative example: In order to perform a smooth, safe, comfortable, and efficient shopping tour, various CPSs that were previously operated independently need to interoperate: · The steering and navigation controls, · The charging electronics, · Vehicle-to-infrastructure, vehicle-to-vehicle, and vehicle-to-pedestrian communications, · The charging station directory,
Original languageEnglish
Title of host publication2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), CPS Week, IEEE, At Seattle
Pages9-16
Number of pages8
Publication statusPublished - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Field

  • Former Research Field - Energy

Keywords

  • cyber-physical systems
  • IT platforms
  • software integration
  • distributed systems
  • complexity management

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