Adaptive IoT Technology for Measuring Salinity, Dissolved Oxygen, and pH in Aquatic Environments

International Journal of Hyperconnectivity and the Internet of Things Pub Date : 2022-01-01 DOI:10.4018/ijhiot.294894

Jarrod Trevathan, D. Nguyen

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引用次数: 4

Abstract

This paper presents an extension to an IoT platform for remote near real-time aquatic environmental monitoring that incorporates electrical conductivity (i.e., salinity), dissolved oxygen and potential of hydrogen (pH) sensors. The predecessor to this system could be remotely deployed for extended periods of time, but was limited to measuring temperature, lux (light) and turbidity only. This paper outlines how the platform was expanded upon to include the additional environmental parameters (i.e., salinity, dissolved oxygen and pH) by selecting the appropriate compatible sensor technologies, redesigning the electronic componentry/physical buoy, and undertaking thorough system integration testing. We present the hardware and software challenges faced to adapt the platform to the new sensor parameters, illustrate the latest buoy design, describe the calibration process and demonstrate in-house and commercial field-testing. The system can be deployed for 12 months between maintenance cycles and has been used in environmental research and commercial prawn farm water quality monitoring.

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自适应物联网技术用于测量水生环境中的盐度、溶解氧和pH值

本文提出了一个物联网平台的扩展，用于远程近实时水生环境监测，该平台包含电导率(即盐度)、溶解氧和氢电位(pH)传感器。该系统的前身可以远程部署很长一段时间，但仅限于测量温度、lux(光)和浊度。本文概述了如何通过选择合适的兼容传感器技术，重新设计电子组件/物理浮标，并进行彻底的系统集成测试，将平台扩展到包括其他环境参数(即盐度、溶解氧和pH值)。我们介绍了使平台适应新的传感器参数所面临的硬件和软件挑战，说明了最新的浮标设计，描述了校准过程，并演示了内部和商业现场测试。该系统可在维护周期之间进行12个月的部署，并已用于环境研究和商业对虾养殖场水质监测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Journal of Hyperconnectivity and the Internet of Things

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