An agent-based intelligent environmental monitoring system
Fairly rapid environmental changes call for continuous surveillance and on-line decision making. There are two main areas where IT technologies can be valuable. In this paper we present a multi-agent system for monitoring and assessing air-quality attributes, which uses data coming from a meteorological station. A community of software agents is assigned to monitor and validate measurements coming from several sensors, to assess air-quality, and, finally, to fire alarms to appropriate recipients, when needed. Data mining techniques have been used for adding data-driven, customized intelligence into agents. The architecture of the developed system, its domain ontology, and typical agent interactions are presented. Finally, the deployment of a real-world test case is demonstrated.
I. N. Athanasiadis, P. A. Mitkas, An agent-based intelligent environmental monitoring system, Management of Environmental Quality, 15:238-249, 2004, doi:10.1108/14777830410531216.
You might also enjoy (View all publications)
- Simulation-assisted machine learning for operational digital twins
- Machine learning for regional crop yield forecasting in Europe
- Policy attention to climate change impacts, adaptation and vulnerability: a global assessment of National Communications (1994–2019)