基于无线传感器网络的大城市污染监测系统

Shwetal Raipure, D. Mehetre
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引用次数: 29

摘要

污染检测与监测是当今世界的一项重要任务。为了给人类、动物、植物创造更好、更安全的环境,我们需要监测和控制污染。本文提出了基于数据挖掘算法的空气污染监测模型。传感器网格用于检测来自不同气体传感器的传感器值。微控制器用于将数据从ADC传输到服务器。利用数据挖掘技术计算不同区域的污染物。采用基于概率的ID3算法进行数值计算。控制器与客户端通过蓝牙模块连接,客户端通过web服务与服务器连接。无线传感器用于计算空气中有害气体的百分比,最终有助于减少污染。该系统不仅可以计算空气中存在的污染物,还可以预测如何避免未来的污染,并可以向特定的污染区域发送警告信息。这里我们主要考虑浦那附近的化学工业和像欣杰瓦迪这样的it区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless sensor network based pollution monitoring system in metropolitan cities
Pollution detection and monitoring is very crucial task in todays world. To create better and safer environment for human being, animals, plants we need to monitor and control the pollution. This study proposes air pollution and monitoring model which detects pollution in air on the basis of data mining algorithm. The sensor grid is used to detect the sensor values from different gas sensors. Microcontroller is used to transfer the values from ADC to server. Data mining is used to calculate the pollutants from different areas. ID3 algorithm is used to calculate the values base on probability. Bluetooth module is used to connect the controller with client and the client connects with the server via web services. Wireless sensors are used to calculate the percentage of harmful gases present in the air that ultimately helps to provide the reduction in pollution. This system not only calculates the pollutants present in the air but also we can forecast to avoid future pollution in and can send the warning message to the particular polluted area. Here we consider mainly the chemical Industry near Pune and the I.T. area like Hinjewadi.
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