Keywords: Cooperative Systems, Distributed Monitoring, Holonic Systems, Ontology, Sensor Network, Sensor Systems And Application, Co-Operative Systems, Control And Management, Geographically Distributed Systems, Hierarchical Organizations, Monitoring And Diagnosis, Firmware, Fleet Operations, Design,
Affiliations: *** IBB - CNR ***
National Research Council of Italy, Institute of Industrial Technologies and Automation (CNR-ITIA), Via Salaria, 300, 00016 Montelibretti, Rome, Italy
University of Tuscia, Department of Economics and Enterprise, Via del Paradiso 47, 01100 Viterbo, Italy
ACT Solutions Srl, Via Nizza 45, 00198 Rome, Italy
References: Not available.
Design of a holonic remote monitoring and diagnosis system for fleet management
The main challenges in sensor network based monitoring systems are the control and management of complex modules and elements interacting among them and with the environment. This work presents and validates a design model for monitoring and diagnosis systems based on sensor networks exploiting potentialities of the holonic approach. The holonic structure is designed with the final goal to guarantee the performances and the functionalities required by the application scenario of road and work vehicles rental companies. Actually they are interacting and geographically distributed systems. The capabilities of cooperation among modules, hierarchical organization, modularity and reliability of holonic design are exploited. Diagnosis of monitored events is coded and validated through an ad hoc ontology. The design does not give assumption on the physical architecture of holons but only on their capacities/properties, therefore it can be reused in different physical and hardware resources. The case studies confirm the capability of our design to be quickly transferred to programmers and coded in firmware and software. (C) 2013 Elsevier Ltd. All rights reserved.
Design of a holonic remote monitoring and diagnosis system for fleet management
No results.
Design of a holonic remote monitoring and diagnosis system for fleet management