摘要
针对使用多台土壤呼吸测量仪建立监测网络时遇到的数据收集问题,提出一种移动数据收集策略并给出其实现方案。该策略使用了多色栅格图环境建模方法,提高了同类研究中障碍物的建模精度;使用了最大均值聚类算法,延长了监测网络的寿命并减少了数据收集点的数量;使用了最短避障遍历路径规划策略,可快速计算出访问所有数据收集点一次且仅一次的移动数据收集路径。仿真实验表明,该移动数据收集策略运行稳定、高效,符合应用要求。
Aimed at the problem of data collection when using multiple soil respiration meters to establish monitoring network,a mobile data collection strategy is proposed and its implementation scheme is given.This strategy used multi-color raster diagram environment modeling method,which improved the modeling accuracy of obstacles in similar studies.The maximum mean clustering algorithm was used to extend the lifetime of the monitoring network and reduce the number of data collection points.The shortest obstacle avoidance traversal path planning strategy was used to quickly calculate the mobile data collection path that accessed all data collection points once and only once.Simulation results show that the mobile data collection strategy is stable,efficient and meets the application requirements.
作者
刘鑫
胡军国
Liu Xin;Hu Junguo(Key Laboratory of State Forestry and Grassland Administration on Forestry Sensing Technology and Intelligent Equipment,College of Information Engineering,Zhejiang A&F University,Hangzhou 311300,Zhejiang,China;Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province,Hangzhou 311300,Zhejiang,China)
出处
《计算机应用与软件》
北大核心
2023年第11期29-35,71,共8页
Computer Applications and Software
基金
国家自然科学基金面上项目(31971493)。
关键词
土壤碳通量
监测网络
移动数据收集器
障碍物
聚类
路径规划
Soil carbon flux
Monitoring network
Mobile data collector
Obstacle
Clustering
Path planning
