3,464 research outputs found
Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor
The increasing demand of customized production results in huge challenges to the traditional manufacturing systems. In order to allocate resources timely according to the production requirements and to reduce disturbances, a framework for the future intelligent shopfloor is proposed in this paper. The framework consists of three primary models, namely the model of smart machine agent, the self-organizing model, and the self-adaptive model. A cyber-physical system for manufacturing shopfloor based on the multiagent technology is developed to realize the above-mentioned function models. Gray relational analysis and the hierarchy conflict resolution methods were applied to achieve the self-organizing and self-adaptive capabilities, thereby improving the reconfigurability and responsiveness of the shopfloor. A prototype system is developed, which has the adequate flexibility and robustness to configure resources and to deal with disturbances effectively. This research provides a feasible method for designing an autonomous factory with exception-handling capabilities
Towards In-Transit Analytics for Industry 4.0
Industry 4.0, or Digital Manufacturing, is a vision of inter-connected
services to facilitate innovation in the manufacturing sector. A fundamental
requirement of innovation is the ability to be able to visualise manufacturing
data, in order to discover new insight for increased competitive advantage.
This article describes the enabling technologies that facilitate In-Transit
Analytics, which is a necessary precursor for Industrial Internet of Things
(IIoT) visualisation.Comment: 8 pages, 10th IEEE International Conference on Internet of Things
(iThings-2017), Exeter, UK, 201
A Smart Modular Wireless System for Condition Monitoring Data Acquisition
Smart sensors, big data, the cloud and distributed data processing are some of the most interning changes in the way we collect, manage and treat data in recent years. These changes have not significantly influenced the common practices in condition monitoring for shipping. In part this is due to the reduced trust in data security, data ownership issues, lack of technological integration and obscurity of direct benefit. This paper presents a method of incorporating smart sensor techniques and distributed processing in data acquisition for condition monitoring to assist decision support for maintenance actions addressing these inhibitors
Petri Nets for Smart Grids: The Story So Far
Since the energy domain is in a transformative shift towards sustainability,
the integration of new technologies and smart systems into traditional power
grids has emerged. As an effective approach, Petri Nets (PN) have been applied
to model and analyze the complex dynamics in Smart Grid (SG) environments.
However, we are currently missing an overview of types of PNs applied to
different areas and problems related to SGs. Therefore, this paper proposes
four fundamental research questions related to the application areas of PNs in
SGs, PNs types, aspects modelled by PNs in the identified areas, and the
validation methods in the evaluation. The answers to the research questions are
derived from a comprehensive and interdisciplinary literature analysis. The
results capture a valuable overview of PNs applications in the global energy
landscape and can offer indications for future research directions
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