Modeling- and Simulation-Driven Methodology for the Deployment of an Inland Water Monitoring System

被引:0
|
作者
Andrade, Giordy A. [1 ]
Esteban, Segundo [2 ]
Risco-Martin, Jose L. [2 ]
Chacon, Jesus [2 ]
Besada-Portas, Eva [2 ]
机构
[1] Univ Complutense Madrid, Syst Engn Control & Robot Grp, Madrid 28040, Spain
[2] Univ Complutense Madrid, Comp Architecture & Automat Control Dept, Madrid 28040, Spain
关键词
Internet of Things; early warning system; harmful algal and cyanobacterial bloom; model-based system engineering; Discrete Event System Specification;
D O I
10.3390/info15050267
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In response to the challenges introduced by global warming and increased eutrophication, this paper presents an innovative modeling and simulation (M&S)-driven model for developing an automated inland water monitoring system. This system is grounded in a layered Internet of Things (IoT) architecture and seamlessly integrates cloud, fog, and edge computing to enable sophisticated, real-time environmental surveillance and prediction of harmful algal and cyanobacterial blooms (HACBs). Utilizing autonomous boats as mobile data collection units within the edge layer, the system efficiently tracks algae and cyanobacteria proliferation and relays critical data upward through the architecture. These data feed into advanced inference models within the cloud layer, which inform predictive algorithms in the fog layer, orchestrating subsequent data-gathering missions. This paper also details a complete development environment that facilitates the system lifecycle from concept to deployment. The modular design is powered by Discrete Event System Specification (DEVS) and offers unparalleled adaptability, allowing developers to simulate, validate, and deploy modules incrementally and cutting across traditional developmental phases.
引用
收藏
页数:22
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