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Low cost pollution control and air quality monitoring system using Raspberry Pi for Internet of Things

机译:使用Raspberry Pi进行物联网的低成本污染控制和空气质量监测系统

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Internet of Things (IoT) is an innovative approach to connect various devices through the internet and use such an interconnection to implement highly beneficial functions. IoT is certainly one of the most widely researched topics and will continue to shape the approach we adopt to solve problems in the years to come. In this paper, an IoT-based system has been proposed to combat air pollution, which is particularly a cause of concern in the densely populated country e.g., India. An embedded system is used to connect several sensors that collect data on the surrounding environment. Based on the obtained data, a prediction algorithm is put forth to proactively implement a solution to any problem encountered. The collected data is stored in a MySQL database that can be queried whenever the relevant information is required. This model would analyze the data and report it to the users. The obtained results are evaluated using ThinkSpeak open data IoT platform with data analytics. A major advantage of the proposed system is its cost-effectiveness. Coupled with its scalable, dynamic and flexible nature, this model can be easily set-up and deployed in any area to monitor and control the quality of its environment.
机译:物联网(IoT)是一种通过Internet连接各种设备并使用这种互连来实现高度有益功能的创新方法。物联网无疑是研究最广泛的主题之一,并将在今后几年中继续塑造我们采用的解决问题的方法。在本文中,已经提出了一种基于物联网的系统来应对空气污染,这在人口稠密的国家(例如印度)尤其引起关注。嵌入式系统用于连接几个收集周围环境数据的传感器。基于获得的数据,提出了一种预测算法,以主动实现对遇到的任何问题的解决方案。收集的数据存储在MySQL数据库中,每当需要相关信息时都可以查询该数据库。该模型将分析数据并将其报告给用户。使用具有数据分析功能的ThinkSpeak开放数据IoT平台评估获得的结果。提议的系统的主要优点是其成本效益。结合其可扩展性,动态性和灵活性,可以轻松设置和部署此模型,以监视和控制其环境质量。

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