基于物联网的低成本环境污染监测系统的设计与开发

S. Alam, Akib Jayed Islam, M. Hasan, Mohammad Nokib Monsur Rafid, Nishako Chakma, Md. Nafiz Imtiaz
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引用次数: 11

摘要

环境污染是影响人类、生物、自然或建筑环境的生活方式和健康的首要和关键因素之一。本文将提供一种低成本的环境污染监测系统,用于监测(CO2,CO,&CH4)等高毒性气体,声音污染,温度和粉尘测量,该系统通过观察用户对空气和噪音污染物的要求来区分和避免泄露。该系统由多个气体传感器、粉尘传感器、声音传感器和温度传感器集成到一个平台上。本文将介绍一个全新的系统,包括用于获取大气数据的数字硬件和用于分析结果的软件。所设计的系统可以对传感器进行校准,同时改进优化,保持活力,从而提高传感器信息的精度。除此之外,该系统还可以通过Wi-Fi或客户的平板电脑或智能手机连接到网络,并可以连接到另一个设备,用于基于物联网(IoT)的应用程序。这项工作试图观察一个特定地点的空气和声音的质量,并将这些信息发送给负责的人,他们将利用这些信息来提升该地点当地人民的生活水平,这是关于智慧城市的第一个想法之一。由于传感器和微控制器丰富,实现的成本和努力非常便宜和容易。在线数据存储系统通过在普通服务器上现代化所有现有因素,扩展了用户友好的环境。实验结果证明了该方法在快速检测和实时响应方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Development of a Low-Cost IoT based Environmental Pollution Monitoring System
Environment pollution is one of the foremost and crucial factors affecting lifestyles and health of human, living organisms, natural or built environment. This paper will provide a low cost environmental pollution monitoring system for monitoring the highly toxic gases like (CO2,CO,&CH4), sound pollution, temperature and dust measurements which is designed by observing users’ requirement to distinguish and keep away from disclosure to air and noise pollutants. The system consists of multiple gas sensors, dust device, sound sensor and temperature sensor that are integrated into a single platform. This paper will present a brand new system that includes digital hardware for obtaining atmospheric data and software to analyze the results. The designed system can provide calibration of the sensors along with improving the optimization to preserve vitality which results in the improvement of the precision of sensor information. In addition to this, the system is connected to the web via Wi-Fi or customer’s tablet or smartphone and can be interfaced to another device for the Internet of Things (IoT) based applications. This work makes an attempt to observe the quality of air and sound of a particular location and send this information to responsible people who will use this information to upgrade the standard of living of local people of that location, which is one of the first ideas about Smart City. The cost and effort of implementation is incredibly cheap and easy as the sensors and the microcontrollers are available in abundant. The online data storage system has extended the user friendly environment by modernizing all existing factors over a general server. The experimental results demonstrate the effectualness of this research work in terms of quick detection and real time response.
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