环境传感技术平台

N. Yoder, Victoria L. Preston, A. Michel
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引用次数: 0

摘要

水质监测是保障人类健康、了解生态系统平衡以及为水道使用和维护的监管政策提供信息的关键任务。直接瓶子取样是大多数水质分析的标准,但由于非原位分析,它在空间和时间分辨率上都受到限制。这激发了对现场观测系统的需求。无人驾驶移动平台提供实时响应和空间覆盖能力。目前用于水质监测的平台往往建造和维护成本高昂,或者规模庞大且难以部署。由于即使是基本的水测量(例如温度、pH值)也能提供有关环境健康的有用信息,因此我们在小型无人平台上利用开源低成本探测器。环境传感技术平台(PEST)是首个针对浅层、狭窄和困难环境的持续低成本无人水质监测解决方案的原型,适合由非机器人专家部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The PEST: Platform for Environmental Sensing Technology
Water quality monitoring is a critical task for safeguarding human health, understanding ecosystem balance, and informing regulatory policy in waterway use and maintenance. Direct bottle sampling is the standard for most water quality analysis, however it is limited in both space and time resolution by virtue of ex situ analysis. This inspires the need for in situ observation systems. Unmanned mobile platforms provide the capability for real-time response and spatial coverage. Current platforms for water quality monitoring tend to be expensive to build and maintain, or are large and difficult to deploy. Since even basic water measurements (e.g., temperature, pH) provide useful information about the health of an environment, we leverage the use of open-source low-cost probes on a small unmanned platform. The Platform for Environmental Sensing Technology (PEST), is a first prototype towards a persistent low-cost unmanned water quality monitoring solution for shallow, narrow, and difficult environments that is suitable for deployment by non-robotics experts.
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