基于传感器的滞水原生环境条件研究

M. Abhishek Kumar, R. Deekshitha, G. Gaurav, R. Inchara, S. Pushpamala
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引用次数: 0

摘要

虽然水是生活的一个非常重要的部分,但水资源的退化正在增加。监测水体有助于维持水生生境的生态系统和提供健康的水,从而为及时作出管理水质的决定提供客观证据。有必要建立一个系统,对水体进行持续监测,以协助确定饮水标准的遵守情况。这项提议的工作是朝着使用传感器来确定停滞水体的环境方面的持续实时监测迈出的一步。利用3D打印机器人单元(鱼)吸收传感器,通过浮力控制单元评估水体的物理参数,根据帕斯卡流体原理确定水体的质量。测量了温度、溶解氧、pH值和浊度等基本参数,并在云上观察了数据。大数据分析是这方面的未来工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensor Based System to Study the Native Environmental Conditions of Stagnant Water
Although water being a very important part of living, there is an increase in degradation of water resources. Monitoring water bodies helps in maintaining the ecosystem for aquatic habitat and providing healthy water, thereby, providing objective evidence for timely decisions on managing water quality. There is a need to develop a system for a continuous monitoring of the water bodies with assistance towards determining compliance with drinking water standards. This proposed work is a step towards continuous monitoring in real time using sensors to determine the environmental aspect of stagnant water bodies. A 3D printed robotic unit (fish) imbibed with sensors is used to assess the physical parameters of the water body to determine the quality of water body with the buoyancy controlled unit using Pascal’s Principle of Fluids. Basic parameters like Temperature, Dissolved Oxygen, pH and Turbidity was measured and the data observed on the cloud. Big Data analysis is the future work in this regard.
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