本論文研製一套兼具監測配電開關設備及偵測外物入侵之監測系統，可將裝置測距功能之警戒範圍加以設定並以燈號顯示預警，有效提供維護人員掌握現場設備即時狀態。本研究目標乃考量強化增進現今巡視方式之查檢設備效能，因此提出自動即時監測系統以輔助開關設備監測，並透過微型鏡頭將即時影像經由無線傳輸連結網路服務平台及回傳至智慧型裝置檢視，以快速掌握現場即時訊息，同時加入外物偵測及物種辨識設計，俾以早期預警及提升供電穩定度。至為佐證本文所提方法之可行性，本研究分別於自製設備與實際管路場景進行物種辨識及測距驗證，測試結果顯示本系統於外物入侵及距離警戒範圍內，均可正確執行判斷與動作，研究成果可作為開關設備維護及預防事故施行時之參考。

This thesis aims to develop a system that is capable of inspecting distribution power equipment and detecting foreign object intrusions. The distance measure function of the device is added for the detection within the warning range, by which a light signal is displayed for maintenance personnel to grasp the status of electric equipment in effectively. Considering the enhancement and efficiency improvement of existing inspect methods, the study develops an automatic real-time monitoring system to assist in the monitoring of switchgear, where real-time images can be delivered to the network service platform via wireless transmission by using miniature lens. Moreover, the study includes the functions of foreign-object intrusion detection and species identification for the early warning, hence better ensuring a higher quality of supplying power. To validate the feasibility of this proposed method, this approach has been tested on self-made equipment with attached pipelines. Test results show that the system presents the satisfactory capability of distinguishing each situation when encountering object intrusions within the warning range. These outcomes serve as useful references for auxiliary inspection of electric power distribution systems.

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