用无人机投放翻滚式传感器,无损监测水底生态。
TumblerBots: Tumbling Robotic sensors for Minimally-invasive Benthic Monitoring
- 无人机投放轻量翻滚装置,缓慢入水减少扰动
- 传感器脱离后下沉至水底,完成任务后气囊膨胀上浮
- 采用环保材料,适合野外复杂环境部署
机器人系统在水质监测、污染测绘和生物多样性数据采集等水环境感知应用中展现出巨大潜力。传统部署方式常破坏脆弱生态系统,难以获取未受干扰的环境状态。为此,我们提出一种新型框架:利用轻量化翻滚装置搭载传感单元,通过无人机投放。该设计通过缓慢下降最大限度减少对水体生态的干扰。传感单元在抵达水面后自动脱离,精确非侵入式采集底栖区数据。翻滚体采用环保材料,降低任务中丢失的环境影响。其传感舱配备温压传感器及浮力系统,任务完成后通过化学反应驱动硅膜膨胀,产生70 kPa压力,使膜体体积增加30%,远超5.7%的正浮力阈值。测试显示其下降速度为0.8至2.5米/秒,有效降低着水冲击;户外实测表明系统在中强风条件下仍具鲁棒性,验证了整体框架可行性。
原文摘要 · Abstract (English)
Robotic systems show significant promise for water environmental sensing applications such as water quality monitoring, pollution mapping and biodiversity data collection. Conventional deployment methods often disrupt fragile ecosystems, preventing depiction of the undisturbed environmental condition. In response to this challenge, we propose a novel framework utilizing a lightweight tumbler system equipped with a sensing unit, deployed via a drone. This design minimizes disruption to the water habitat by maintaining a slow descent. The sensing unit is detached once on the water surface, enabling precise and non-invasive data collection from the benthic zone. The tumbler is designed to be lightweight and compact, enabling deployment via a drone. The sensing pod, which detaches from the tumbler and descends to the bottom of the water body, is equipped with temperature and pressure sensors, as well as a buoyancy system. The later, activated upon task completion, utilizes a silicon membrane inflated via a chemical reaction. The reaction generates a pressure of 70 kPa, causing the silicon membrane to expand by 30\%, which exceeds the 5.7\% volume increase required for positive buoyancy. The tumblers, made from ecofriendly materials to minimize environmental impact when lost during the mission, were tested for their gliding ratio and descent rate. They exhibit a low descent rate, in the range of 0.8 to 2.5 meters per seconds, which minimizes disturbance to the ecosystem upon water landing. Additionally, the system demonstrated robustness in moderate to strong wind conditions during outdoor tests, validating the overall framework.
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