...
首页> 外文期刊>IEEE Journal of Oceanic Engineering >Evaluation of Sampling Methods for Robotic Sediment Sampling Systems
【24h】

Evaluation of Sampling Methods for Robotic Sediment Sampling Systems

机译:机器人沉积物采样系统的抽样方法评估

获取原文
获取原文并翻译 | 示例
           

摘要

Analysis of sediments from rivers, lakes, reservoirs, wetlands, and other constructed surface water impoundments is an important tool to characterize the function and health of these systems, but is generally carried out manually. This is costly and can be hazardous and difficult for humans due to inaccessibility, contamination, or availability of required equipment. Robotic sampling systems can ease these burdens, but little work has examined the efficiency of such sampling means and no prior work has investigated the quality of the resulting samples. This article presents an experimental study that evaluates and optimizes sediment sampling patterns applied to a robot sediment sampling system that allows collection of minimally disturbed sediment cores from natural and man-made water bodies for various sediment types. To meet this need, we developed and tested a robotic sampling platform in the laboratory to test functionality under a range of sediment types and operating conditions. Specifically, we focused on three patterns by which a cylindrical coring device was driven into the sediment (linear, helical, and zig-zag) for three sediment types (coarse sand, medium sand, and silt). The results show that the optimal sampling pattern varies depending on the type of sediment and can be optimized based on the sampling objective. We examined two sampling objectives: maximizing the mass of minimally disturbed sediment and minimizing the power per mass of sample. This study provides valuable data to aid in the selection of optimal sediment coring methods for various applications and builds a solid foundation for future field testing under a range of environmental conditions.
机译:河流,湖泊,水库,湿地和其他构造表面水蓄水沉积物分析是表征这些系统功能和健康的重要工具,但通常手动进行。由于不可思议的,污染或设备可用性,这是昂贵的,并且对于人类而言,对于所需设备的可用性而言,可以危险且困难。机器人采样系统可以缓解这些负担,但很少的工作已经检查了这种采样装置的效率,并且没有先前的工作研究了所得样品的质量。本文介绍了一种实验研究,可评估和优化应用于机器人沉积物采样系统的沉积物采样模式,允许从天然沉积物中收集来自天然和人造水体的各种沉积物类型。为了满足这种需求,我们在实验室开发并测试了一个机器人采样平台,在一系列沉积物类型和操作条件下测试功能。具体地,我们专注于三个图案,通过该图案,圆柱形取芯装置被驱动到沉积物(线性,螺旋形和锯齿状)的三个沉积物(粗砂,中沙,淤泥)。结果表明,最佳采样模式取决于沉积物的类型,并且可以基于采样目标优化。我们检查了两个采样目标:最大化最小受损沉积物的质量,并最大限度地减少每种样品的功率。本研究提供了有价值的数据,以帮助选择各种应用的最佳沉积物芯片方法,并在一系列环境条件下为未来的现场测试构建坚实的基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号