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  • 學位論文

環境汙染源溯源行動載具之場域數據分析

Field Domain Data Analysis of a Source Traceability Mobile Device for Environmental Pollution

指導教授 : 李揚漢
本文將於2024/07/22開放下載。若您希望在開放下載時收到通知,可將文章加入收藏

摘要


研究設備使用Arduino Uno R3為主軸,透過擴充版搭載Ammonia MQ-137感測器及ESP8266 ESP-01S WIFI 收發無線網路模組所組成的載具使之連網,藉由手機連網使用Application進行遠端啟動及數據收集,透過演算法使載具利用舵機模組搭載感測器識別方位並讓數據與方位去驅動載具行駛來進行溯源,其次模擬各種不同場域進行實驗佐證載具演算法溯源程度,逐一將所面臨的問題提出來修正場域條件,並將以修正後的模擬環境在進行實測來解決,終將製造出目前所使用資源所適合的環境條件來達到溯源。

關鍵字

行動載具 溯源 數據 汙染源 場域

並列摘要


We mainly implement Arduino Uno R3 as the research equipment that includes Ammonia MQ-137 sensor and ESP8266 ESP-01S WIFI transceiver with wireless network module for network connection. Remote start-up and data collection could be triggered by phone network application. The algorithm could make the carrier work with the steering gear module and the sensor could identify the orientation so as to drive the carrier and make the data traceable. Secondly, we conduct many experiments to simulate different fields to understand the capability of traceability and focus on addressing the issues that we have so as to make it complete. Moreover, we would base on the corrected simulation and surroundings to make the most appropriate environment in order to meet the requirement of the capability of source traceability.

並列關鍵字

Mobile device Traceability Data Pollution source Field domain

參考文獻


[1]. 維基百科,氨
https://zh.wikipedia.org/wiki/%E6%B0%A8
[2]. 美國國家環境保護局,”Toxicological Review of Ammonia” ,2016,https://cfpub.epa.gov/ncea/iris_drafts/recordisplay.cfm?deid=254524
[3]. ATSDR,”Registry, Agency for Toxic Substances and Disease”, 2004,https://www.atsdr.cdc.gov/toxprofiles/tp.asp?id=11&tid=2
[4]. 楊振昌,”職業性氨中毒認定參考指引”, 2016,https://www.osha.gov.tw/1106/1176/1185/1190/1192/?Page=1&PageSize=100

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