臺灣博碩士論文加值系統

本論文在Android平台上實作一套整合雲端計算技術的車載診斷系統(On-Board Diagnostic, OBD)系統，該系統可以執行車輛即時狀況監控，功能包括了引擎轉速、車速、水箱溫度、故障碼等各項車輛動態資訊，並可將上述資訊透過3.5G無線網路傳送到雲端主機進行分析。若有故障情情況發生，可依據目前診斷汽車的車種、型號、年份進行分類，透過雲端主機進行故障碼分析後，再將分析所得的故障原因回傳至使用者手中，並提供維修方式說明文件，如此可大幅縮短檢測汽車故障所花費的維修時間。本論文所提的系統在汽車維修與車隊管理方面有極高的應用價值。

This thesis implemented a cloud computation based second generation on-board diagnostic (OBD-II) system. The proposed system is integrated with OBD-II, 3G wireless network, and cloud computing technologies. It can perform real-time vehicle status surveillance. The monitored features cover engine rpm, vehicle speed, coolant temperature, fault codes, and other vehicle dynamics information. The vehicle information will be transmitted to the cloud computing server via 3.5G wireless network for fault analysis. Once cloud computing server detects fault conditions, the proposed system could classify the fault conditions depended on vehicle type, model year. Then the cloud computing server will report the fault code analysis results to the user and provide the description about repair procedure. The proposed system will greatly shorten the time to detect vehicle trouble condition. The system presented in this thesis has a very high value in the applications of vehicle maintenance and fleet management.

摘要 I
ABSTRACT II
致謝 III
目錄 IV
表目錄 V
圖目錄 VI
一、緒論 1
1.1 研究動機 1
1.2 研究方法 1
1.3 論文架構 3
二、OBD-II車載診斷系統 4
2.1 OBD車載診斷系統發展歷史 5
2.2 OBD-II系統特色 8
2.3 CAN BUS介紹與應用 12
2.4 OBD-II系統檢測儀運作解析 18
2.5 OBD-II系統診斷模式解析 27
2.6 OBD-II系統故障碼解析 40
三、ANDROID設備與雲端運算 42
3.1 ANDROID設備 42
3.2 雲端運算 49
四、實驗結果 56
4.1 實驗方法 56
4.2 雲端伺服器架設 62
4.3 實驗結果及分析 65
4.4 本論文所使用之故障碼 85
五、結論與未來工作 91
參考文獻 92

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