Resilience Supported System for Innovative Water Monitoring Technology

Aslansefat, Koorosh; Ghodsirad, Mohammad Hossein; Barata, José; Jassbi, Javad

Abstract

The level of intelligence in monitoring & controlling systems are increasing dramatically. The critical issue for an autonomous resilient system is detecting the anomalous behavior through standard patterns to react properly and on time. In cyber-physical systems with the interaction of humans and machines, this will be more complicated. Deceptive alarm is a common dilemma in real systems which could reduce awareness and readiness and accordingly resilience of the system. In this paper, Markov modeling technique is used to predict human behaviors patterns to distinguish between human anomalous behavior and system failure. The data is from the real experience of implementing innovative monitoring system in a five-star hotel which was part of the project of gamification for changing guests’ behavior. The idea was to develop Resilience Supported System to decrease the fault error and alarms and to increase the reliability and resilience of the system.

Citation

Aslansefat, K., Ghodsirad, M. H., Barata, J., & Jassbi, J. (2018). Resilience Supported System for Innovative Water Monitoring Technology. In L. M. Camarinha-Matos, K. O. Adu-Kankam, & M. Julashokri (Eds.), Technological Innovation for Resilient Systems (73-80). Springer. https://doi.org/10.1007/978-3-319-78574-5_7

• Online Publication Date: Mar 29, 2018
• Publication Date: 2018
• Deposit Date: Feb 17, 2021
• Electronic ISSN: 1868-422X
• Publisher: Springer
• Pages: 73-80
• Series Title: IFIP Advances in Information and Communication Technology
• Series Number: 521
• Series ISSN: 1868-4238
• Book Title: Technological Innovation for Resilient Systems
• ISBN: 9783319785738; 9783030087357
• DOI: https://doi.org/10.1007/978-3-319-78574-5_7
• Keywords: Performance assessment; Markov modeling; Behavior-change systems; Resilience supported system; Deceptive alarm
• Public URL: https://hull-repository.worktribe.com/output/1117209