無線感測網路應用於簡易環境品質監測之研究

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Dissertations and Theses > Item 310902800/30095

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/30095

Title:	無線感測網路應用於簡易環境品質監測之研究 Application of Wireless Sensor Networks in Environmental Quality Monitoring
Authors:	林芸瑄
Contributors:	應用空間資訊系林宏麟
Keywords:	環境感測無線感測網路 Environmental Sensing WSN Arduino ZigBee
Date:	2016
Issue Date:	2016-12-21 15:35:01 (UTC+8)
Abstract:	環境品質為環境評估重要依據，品質量化仰賴各類感測元件的偵測，目前感測結果大多以看板顯示即時監測數值，數據保存亦受限於儀器本身與儲存容量多寡，環境品質指標需廣泛記錄各區域、各類別感測數值，欠缺整體數據記錄機制，導致環境變遷過程難以進行統計與分析。　　本研究將不同類別環境感測元件，結合單晶片微控制器（Arduino）的程式處理以獲取各類環境感測相關資訊，透過無線感測元件（ZigBee）所建構之無線感測網路（Wireless Sensor Network, WSN），將感測結果傳遞到資料庫伺服主機進行資料剖析與記錄。此感測網路架設無需佈線，感測元件具低耗電量、網路拓樸具高度彈性與維護容易等特色。　　伺服主機亦整合行動裝置與網頁服務功能，提供使用者以行動APP或網頁瀏覽器兩種操作介面，依查詢條件進行資料查詢、統計與分析，GPS定位功能可協助使用者了解感測器分布位置，未來結合地理資訊系統（GIS）可建構一智慧環境感測網路之物聯網（IoT）。　Environmental quality is an important reference for environmental assessment. The existing quantification of environmental quality monitoring relies on various types of sensing devices, whose monitoring results are mostly displayed directly on a connected monitor. However, due to the finite data storage capacity in such devices, data retention is limited to the capabilities of the individual monitoring device. This leads to the problem that environmental quality indicators from different sectors and regions are not consistently recorded, meaning a comprehensive dataset does not exist. Therefore, analyses of the current state of the environment and statistical analyses of changes in environment are difficult to conduct.　In this study, different types of environment sensing devices are combined with a single-chip microcontroller (Arduino), which processes the sensor data and broadcasts it via a ZigBee based Wireless Sensor Network (WSN), which in turn passes the information to a database server which facilitates recording and analysis. This sensing network has no need for wiring, uses sensing elements with low power consumption, and has a network topology with a high degree of flexibility while being easy to maintain.　The server also allows integration of mobile devices and web services, allowing users to query the data for statistics and analyses. The GPS positioning function of the sensors can help users understand the distribution of the sensors in the network and provides a foundation for the future construction of a Geographical Information System (GIS) as well as the integration into the Internet of Things (IoT).
Relation:	學年度：104，74頁
Appears in Collections:	[Dept. of Applied Geoinformatics] Dissertations and Theses

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