基于802.11 ac无线网桥和LoRa™技术的开放海洋水产养殖无线传感器网络设计

Tzong-Dar Wu, Zhi-Jun Chen, Chung-Cheng Chang, Hsuan-Fu Wang
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引用次数: 4

摘要

本文提出了一种基于IEEE 802.11ac无线网桥和LoRa-Android嵌入式系统两种远程无线通信技术集成的开放海洋水产养殖远程监控系统的设计。该系统由传感器和水下摄像机组成,可以实时测量海水水质,观察养殖网箱中鱼类的行为。传感器和视频电缆用不锈钢支架和钢丝绳连接到连接在笼上框架上的水密控制单元上。控制单元记录的传感器数据和视频分别通过LoRa无线模块和IEEE 802.11ac无线网桥发送到位于陆地上的远程数据中心。最后,将所有数据上传到台湾海洋大学云中心。为了延长系统在固定电池容量下的日常运行周期的运行时间,在水密控制单元中采用了远程继电器控制器。整个系统可以通过远程命令关闭,除了中继本身和无线子系统。此外,可以通过在继电器控制器中设置周期性唤醒时间来关闭无线子系统,以节省电力。初步实验在新北市公寮进行,以测试所提出的系统。测试成功后,整个系统已在屏东养鱼场安装,进行长期测试。实验结果表明,所提出的无线传感器网络在远洋水产养殖领域具有良好的适用性和可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a Wireless Sensor Network for Open Ocean Aquaculture Based on 802.11 ac Wireless Bridge and LoRa™ Technology
This paper presents the design of a remote monitoring system for open ocean aquaculture, which is based on the integration of two long-range wireless communication technologies: the IEEE 802.11ac wireless bridge and the LoRa-Android embedded system. The system is composed of sensors and underwater camera that can measure the seawater quality and observe the fish behavior in aquaculture cages in real time. The sensor and video electrical cables were connected to the watertight control unit attached to the upper frame of the cage with stainless steel brackets and wire rope. The sensor data and video recorded in control unit were sent to the remote data center located on land by LoRa wireless module and IEEE 802.11ac wireless bridge, respectively. Finally, all these data were uploaded to NTOU (National Taiwan Ocean University) Cloud center. To extend the system run time for the daily operation period under the fixed battery capacity, a remote relay controller has been used in the watertight control unit. The entire system can be shut down by remote commands except the relay itself and the wireless subsystem. In addition, the wireless subsystem can be turned off by setting a periodic wake-up time in the relay controller for power saving. The preliminary experiment was performed at Gongliao in New Taipei City to test the proposed system. After successful testing, the whole system has been setup at the fish farm at Pingtung for long-term testing. The experiment results show that the proposed wireless sensor network has good suitability and sustainability when applied in the field of open ocean aquaculture.
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