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GatorByte——一种基于物联网的低成本、紧凑型实时水资源监测浮标。

GatorByte - An Internet of Things-Based Low-Cost, Compact, and Real-Time Water Resource Monitoring Buoy.

作者信息

Agade Piyush, Bean Eban

机构信息

Agricultural and Biological Engineering Department, University of Florida, 1741 Museum Rd, Gainesville, FL 32611, USA.

出版信息

HardwareX. 2023 May 10;14:e00427. doi: 10.1016/j.ohx.2023.e00427. eCollection 2023 Jun.

Abstract

Conventional water resource monitoring systems are usually expensive, have a low-temporal resolution, and lack spatial dimension entirely. These systems are typically available as stations or handheld devices. Pinpointing sources of pollution using these systems can be difficult. This project involves developing a high-resolution free-flowing monitoring buoy that records spatiotemporal water-quality data in flowing stream environments. The system is highly customizable, and even users with limited experience in programming or electronics can tailor GatorByte to their needs. The platform includes a data logger, a cloud-based server, and visualization tools. The data logger uses low-cost sensors, electronic peripherals, a 3D-printed enclosure, and printed circuit boards, with a total cost per unit under $1,000 USD. The data logger uses an NB-IoT-capable Arduino for real-time reporting and visualizing sensor data. The GatorByte records physiochemical water metrics - pH, temperature, dissolved oxygen, electroconductivity, and the current location of the buoy using a GPS module. The data logger also includes micro-SD storage and a Bluetooth module for on-field diagnostics. Using the GatorByte buoy, the collection of variations in water quality data in temporal as well as spatial dimensions can be achieved cost-effectively and reliably, enabling quick detection and resolution of pollution events.

摘要

传统的水资源监测系统通常成本高昂,时间分辨率低,且完全缺乏空间维度。这些系统通常以监测站或手持设备的形式存在。使用这些系统来确定污染源可能会很困难。该项目涉及开发一种高分辨率的自由流动监测浮标,用于记录流动溪流环境中的时空水质数据。该系统具有高度的可定制性,即使是在编程或电子方面经验有限的用户也可以根据自己的需求对GatorByte进行定制。该平台包括一个数据记录器、一个基于云的服务器和可视化工具。数据记录器使用低成本传感器、电子外围设备、3D打印外壳和印刷电路板,每单位总成本低于1000美元。数据记录器使用具备窄带物联网(NB-IoT)功能的Arduino来实时报告和可视化传感器数据。GatorByte使用GPS模块记录水的物理化学指标——pH值、温度、溶解氧、电导率以及浮标的当前位置。数据记录器还包括微型SD存储卡和用于现场诊断的蓝牙模块。使用GatorByte浮标,可以经济高效且可靠地实现对水质数据在时间和空间维度上变化的收集,从而能够快速检测和解决污染事件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/150c/10227377/8dec521f4723/ga1.jpg

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