基于自适应分辨率网和改进的迪克斯特拉算法的输电线路规划方法
Guojun Nan1, Zhuo Liu1, Haibo Du1
1School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230000, China.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
本研究介绍了使用自适应分辨率网格 (ARG) 进行高效输电线路规划的改进的Dijkstra算法. 该方法提高了规划速度,降低了成本,为基础设施开发提供了有价值的工具.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 地理信息系统 (GIS) 是一个地理信息系统.
背景情况:
- 手动输电线路规划是复杂和耗时的.
- 现有的算法在处理大规模的地理数据时可能缺乏效率.
- 优化路线选择对于成本和施工时间表至关重要.
研究的目的:
- 开发一个高效的算法,用于输电线路规划.
- 为了减少选择最佳输电线路路线路所需的成本和时间.
- 提高自动化规划工具的准确性和速度.
主要方法:
- 利用语义细分网络将遥感图像处理成地面物体识别地图.
- 引入了自适应分辨率网格 (ARG) 模型以优化网格穿越.
- 将Dijkstra算法与ARG结合起来,采用多中心社区和双向搜索与拐点校正.
主要成果:
- 拟议的方法显著减少了电网穿越时间,并提高了整体运行速度.
- 拐点校正有效地减少了路线拐点,从而降低了成本.
- 实验结果表明,与现有方法相比,规划效率提高,持续时间缩短,调试时间缩短.
结论:
- 与ARG一起改进的Dijkstra算法为输电线路规划提供了更快,更具成本效益的解决方案.
- 这种方法通过提供可靠的路线参考来帮助手动规划.
- 该方法显示了在基础设施开发和优化中更广泛应用的巨大潜力.
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