智能水产养殖中的安全数据管理和基础设施

Dylan Koh, Gui-Shan Tan, Eldrick Xie, Linshan Tiong, M. Khoo, C. Yap
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引用次数: 1

摘要

为支持联合国可持续发展目标(UNSDGs)以及新加坡“30 by 30”愿景(到2030年通过本地农产品满足30%的食品供应营养),该项目通过数据采集、数据预处理、物联网无线技术(LoRA和MQTT)以及蜂窝解决方案实施了安全智能喂鱼器系统。为了解决电源管理问题、距离和覆盖问题、数据大小问题,创建了一个新的数据应用框架和传输方法来支持这一点。同时,采用适当的密码AES/ASCON对连接进行安全保护。最后,系统设计了一个数据管理框架和仪表板,以支持系统的超命令和控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secured Data Management and Infrastructures in Smart Aquaculture
To support UN sustainable development goals (UNSDGs), as well as Singapore “30 by 30” vision (to meet 30% of food supply nutrition by 2030 through local produce), this project implemented a Secured Smart Fish Feeder system through data acquisition, data pre-processing, IoT wireless technology (LoRA and MQTT) together with cellular solutions. To resolve power management issues, distance and coverage issues, data size issues, a new data application frame and transmission method are created to support this. At the same time, appropriate cipher AES/ASCON was used to secure the connections. Last but not least, the system is designed with a data management frame and dashboarding to support the over command and control of the system.
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