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Monitoring Approach of Cyber-Physical Systems by Quality Measures

  • Pedro Merino LasoEmail author
  • David Brosset
  • John Puentes
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 205)

Abstract

Modern cities, industrial plants, cars, trucks, and vessels, among others, make extensive use of cyber-physical systems and sensors. These systems are very critical and contribute to assist decision making. Large data streams are thus produced and analyzed to extract information that allows building knowledge through a set of principles called wisdom. However, because of multiple imperfections, as well as intrinsic, contextual, and extrinsic conditions that alter data, the quality of the generated streams must be evaluated, to determine how relevant they are for decision support. This paper presents a methodology to monitor cyber-physical systems by quality estimation, which defines suitable evaluation characteristics for pertinent analysis. Quality assessment is defined for data imperfections, information dimensions, knowledge factors, and wisdom aspects. The case study of a cyber-physical network of a liquid container training platform is presented in detail, to show how the approach can be applied. Obtained measures are multidimensional, heterogeneous, and variable.

Keywords

Monitoring Sensor data processing Multi-source sensor network Cyber-physical system Data quality Information quality 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Pedro Merino Laso
    • 1
    Email author
  • David Brosset
    • 1
    • 2
  • John Puentes
    • 1
    • 3
  1. 1.Chair of Naval Cyber DefenseÉcole navale - CC 600Brest Cedex 9France
  2. 2.Naval Academy Research InstituteÉcole navale - CC 600Brest Cedex 9France
  3. 3.Département ITI - Institut Mines-TelecomTelecom Bretagne Lab-STICC UMR CNRS 6285 Équipe DECIDE, CS 83818BrestFrance

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