Visualizing a Cyber Physical System in Drill Down Perspective

• Activity Number: 297 - SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 1
• Type: Contributed
• Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistical Graphics
• Author(s): Giovanni Sparacio* and Kathleen Garwood and Marcello Balduccini
• Companies: Saint Joseph's University and Saint Joseph's University and Saint Joseph's University
• Keywords: Cyber Physical System; Data Visualization; Big Data; Automation; Ontology

Abstract

Capabilities to model and reason critical aspects of cyber physical systems (CPS) continue to grow, as does the need to communicate the overall structure and state of the CPS in a form that can be interpreted quickly and precisely to identify issues and concerns. Following an approach developed by the US National Institute of Standards and Technology (NIST), this paper considers the CPS modeling primitives of aspects (e.g., trustworthiness and timing), concerns and requirements. The examples analyzed demonstrate the ability to automatically aggregate and assess information about a CPS while simultaneously providing a dynamic view into the system where issues are portrayed by level of importance. The research goal is to develop information extraction techniques and visualizations that provide real-time insights on all key dimensions of a CPS, as well as on the nature and source of a range of potential issues. The techniques studied aim at enabling the creation of visualizations that can be adapted to the focus, needs, and knowledge of different types of users (from administrators to system operators), allowing identification of potential issues and root causes clearly and concisely.