基于物联网的云存储空气污染监测系统

Vilas Kisanrao Tembhurne, Vinayak D. Shinde, Santosh Kumar, M. Shrimali, Gunjan Chhabra, M. Quadri, Vikram Rajpoot
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引用次数: 0

摘要

空气污染(AP)是当今最紧迫的问题。特别令人关切的是,过量的某些有害气体,如CO、SO2、颗粒物和其他几种气体,可能对人体健康产生潜在的不利影响。其他环境气体受温度、湿度等、风速的影响及其成因和影响。这些天气因素包括温度、湿度和风速。在这个项目中,将开发一个使用传感器监测和分析AP的集中式云系统。每个传感器节点收集的信息被上传到云服务器,存储在那里,可以在任何时间、任何地点通过网络浏览器查看。由于环境是实时监测的,因此在发现生态系统中的污染物时,可以立即采取行动。该项目旨在监测周边地区的AP,并确保数据在互联网上保持最新。全天连续进行实时读数。许多空气污染物,如SO2、CO、PM10、湿度和温度,被认为是基于物联网的空气污染监测系统(APMS)测量空气质量的指标。我们创建了图形,简化了对特定地点污染物比例的分析。液晶显示可以持续显示气体传感器的实时数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT-based Air Pollution Monitoring System to Measure Air Quality on Cloud Storage
Air pollution (AP) is today’s most pressing issue. Particularly concerning are the potential adverse effects that an excessive amount of certain hazardous gases, such as CO, SO2, particulate matter, and several others, may have on human health. Other environmental gases are affected by temperature, humidity, etc., wind speed, and their causes and impacts. These weather factors include temperature, humidity, as well as wind speed.For this project, a centralized cloud-based system using sensors that monitor and analyze AP will be developed. The information gathered by each sensor node is uploaded to a cloud server, where it is stored and can be viewed through a web browser at any time and from any location. Because the environment is being monitored in real-time, prompt action may be performed in response to discovering a contaminant in the ecosystem. This project aims to monitor the AP of the surrounding area and ensure that data are kept up to date on the internet. Readings are conducted continuously throughout the day and in real-time. Many air pollutants like SO2, CO, PM10, humidity, and temperature are considered to measure air quality by IoT-based air pollution monitoring systems (APMS). We created graphics that simplify analyzing the proportion of pollutants in a certain location. The LCD can show the gas sensor’s real-time data constantly.
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