天空和电线:无人机-BPL同步算法用于在牧羊行动中交换信息
Bashir Olaniyi Sadiq1,2, Motirh Al-Mutairi3, Yusuf Abubakar Sha'aban4
1Department of Computer Engineering, Ahmadu Bello University, Zaria, Nigeria.
PloS one
|October 22, 2025
概括
本研究引入了一种新的UAV-BPL算法,用于可靠的农场数据收集,克服农村牧场的无线连接问题. 该系统提供了具有成本效益的,可扩展的解决方案,用于加强牲畜和环境监测.
科学领域:
- 农业技术 农业技术
- 无线通信系统无线通信系统
- 农业中的机器人技术
背景情况:
- 农村牧养业务面临重大挑战,原因是不可靠的无线连接,影响了对牲畜和环境条件的实时监测.
- 现有的解决方案,如卫星或蜂网络,对于大型农村地区来说往往过于昂贵或不切实际,而短程技术缺乏足够的覆盖.
- 有效的数据收集对于优化现代农业实践中的生产力和可持续性至关重要.
研究的目的:
- 开发和评估一个具有成本效益和可扩展的数据收集算法,用于农村畜牧业.
- 解决大型农场环境中现有的无线通信技术的局限性.
- 增强对牲畜,环境条件和运营状态的实时监控能力.
主要方法:
- 开发了一个无人机 (UAV) - 宽带电力线 (BPL) 同步算法,利用农场的电网进行数据传输.
- 提出并模拟了两个不同的操作场景:覆盖驱动的最大数据采集和优先驱动的紧急数据传输.
- 使用 MATLAB 模拟来评估性能,分析关键指标,包括覆盖范围,能源消耗,中继访问频率和响应及时性.
主要成果:
- 覆盖驱动的场景实现了99.2%的数据收集覆盖率,确保了全面的监控和数据冗余性.
- 优先驱动场景成功覆盖了100%的高度紧急数据源,能源消耗约为12%.
- 模拟证明了该算法的有效性,通过提高可扩展性和适应性来改善农场管理.
结论:
- 拟议的UAV-BPL同步算法为农村畜牧业的数据收集提供了实用和高效的解决方案.
- 该系统有效地将无人机移动性与BPL的强大连接性相结合,克服了以前在全农场通信方面的局限性.
- 这种创新方法通过改进监测和快速响应能力,显著提高了奶牛牧场的生产力和可持续性.
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