本論文旨在研製一套兼具巡檢鐵路電力設備及偵測線路異常之監視系統，可將設備故障資訊藉由維護應用程式彙整雲端平台進行系統化管理，以提供維護人員掌握線路設施即時狀態。本研究乃考量現今巡檢方式之侷限及增進巡檢安全，因此提出應用四軸飛行器輔助巡視地面設備，透過飛行器鏡頭將監視影像經由無線傳輸回傳至智慧型裝置檢視，以快速掌握現場即時資訊，同時加入異物偵測設計，俾以早日預警及增加行車安全可靠度，進而完成四軸飛行器硬體系統。至為佐證本文所提方法之可行性，本研究分別於室內與實際線路場景進行巡視及偵測驗證，測試結果顯示本系統於物體侵入及設備異常情況下，均可正確執行判斷，研究成果可作為鐵道工程巡檢保養施行參考。

This thesis aims to develop a system that is capable of inspecting railway power equipment and detecting abnormal lines. The proposed system delivers the equipment failure information to the cloud platform so that the maintenance personnel will effectively grasp the status of utility circuits. Considering the limitations and safety of existing inspect methods, the study applies a quadcopter to assist in the inspection work. By using the lens installed on the aircraft, the images and information can be immediately sent to the smart devices via wireless data transmission.
Moreover, the study includes the detecting function of foreign- object intrusion in the quadcopter hardware system, better ensuring the early alert along with a higher safety of transportation system. To validate the feasibility of this proposed method, the approach has been tested on the indoor circumstances as well as field lines. Test results show that the system distinguishes each situation correctly once the object intrudes or equipment failure occurs, serving as useful references for the inspection and maintenance of railway engineering.

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