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A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments

机译:用于水产养殖环境实时监测的无人地面车辆群平台

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摘要

The Internet of Things (IoT) is a rapidly evolving technology that is changing almost every business, and aquaculture is no exception. In this work we present an integrated IoT platform for the acquisition of environmental data and the monitoring of aquaculture environments, supported by a real-time communication and processing network. The complete monitoring platform consists of environmental sensors equipped in a swarm of mobile Unmanned Surface Vehicles (USVs) and Buoys, capable of collecting aquatic and outside information, and sending it to a central station where it will be stored and processed. The sensing platform, formed by the USVs and Buoys, are equipped with multi-communication technology: IEEE 802.11n (Wi-Fi) and Bluetooth for short range communication, for mission delegation and the transmission of data collection, and LoRa for periodic report. On the back-end side, supported by FIWARE technology, an interactive web-based platform can be used to define sensing missions and for data visualization. Results on the sensing platform lifetime, mission control and delay processing time are presented to assess the performance of the aquatic monitoring system.
机译:物联网(IoT)是一项快速发展的技术,正在改变几乎每项业务,水产养殖也不例外。在这项工作中,我们提供了一个集成的物联网平台,用于获取环境数据和监控水产养殖环境,并由实时通信和处理网络提供支持。完整的监视平台包括环境传感器,这些环境传感器安装在移动无人水面车辆(USV)和浮标群中,能够收集水生和外部信息,并将其发送到中央站,以进行存储和处理。由USV和浮标组成的传感平台配备了多种通信技术:IEEE 802.11n(Wi-Fi)和蓝牙用于短距离通信(用于任务委派和数据收集的传输)以及LoRa(用于定期报告)。在后端,在FIWARE技术的支持下,可以使用基于Web的交互式平台来定义传感任务并进行数据可视化。提出了有关传感平台寿命,任务控制和延迟处理时间的结果,以评估水生监测系统的性能。

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