「節能減碳」已成為全民運動，但要讓使用者更有意願、更有效率去執行，就必須提供更多用電資訊，進而執行有效率的節能行為，所以使用智慧插座進行電力資訊的收集視為有效的方法之一，在此為本研究理論之基礎。
現今因智慧電網及直流家電之推行，再生能源使用增加，且可直接供給家電使用，另配合智慧型插座之運用，每一個進行資訊收集的電器設備，可在其電源插座上附加使用，以對其進行狀態偵測及電能消耗監控，但這樣有時會限制了智慧插座配置上的彈性，且如何能更有效益、彈性的配置，在過去並未有所討論，以此為意，所以本研究提出一種結合多通道供電及矩陣式電性量測之能源管理系統，可增加系統建置的便利性，對用電分析增進更大的彈性及效益。
本研究使用可程式邏輯控制器(Programmable Logic Controller, PLC) 及微控制器(Micro Control Unit, MCU)，進行供電迴路及量測控制電路設計，並結合Zigbee之智慧型插座(Smart Outlet)，進行電力資訊之收集；系統可程式化配置量測路徑，進行電力資訊收集，且經由資訊分析了解用電需求，作為供電參考依據來調整供電通道，另採用C#作為人機畫面之控制核心，及連接SQL Server作為資訊收集之儲存及分析，並可於網頁進行圖表顯示及參數設定，在用電資訊上，透過該數據以獲得更佳的用電策略。

Energy saving and carbon reduction have become a mass movement, but if we want users to increase willingness and efficiency to make a practice of it, it is necessary to provide more information about electricity, and then carry out efficient energy-saving behavior. Therefore, the use of smart outlet regarded as an effective method for power information collection has laid the theoretical basis for this study.
Today, because of the smart grid and the implementation of the DC home appliances, the use of renewable energy has increased, as well as the direct use for home appliances. With the use of the smart outlet, electrical equipment capable of information collection can be integrated with the outlet system in detecting status and monitoring power consumption, but sometimes it limits the flexibility of configuration. In addition, how to enable a more effective and flexible configuration hasn't been discussed much in the past. As intended, this study proposes a combination of multi-channel power supply and matrix electrical measurement of the energy management system, which can increase the convenience of the system to build and promote greater flexibility and efficiency of electricity analysis.
This study applies the programmable logic controller (PLC) and microcontroller to support the measurement of electrical circuit and design control circuit, while combining the Zigbee Smart Outlet to collect electricity information. The system can program the path of configuration measurement with electricity information collected and analyzed in order to understand the demand for electricity as a reference of power supply, so as to adjust the supply channel accordingly. It also adopts C # as the control of man-machine and connects to SQL Server for the storage and analysis of collected information, while chart display and parameter settings can be proceed on the website. As a result, a better electricity strategy can be obtained based on the data regarding electricity information.

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