現今科技日新月異，隨著物聯網時代的來臨，越來越多產業都希望能做到設備聯網的功能，因此本研究結合物聯網與雲端運算的功能，隨時監測馬達的運轉狀態，在馬達發生故障初期，藉由雲端分析馬達的故障徵兆，依照故障嚴重度儘早安排相應的維修策略，避免發生故障時所造成的意外或投入過多的維修成本，達到預知保養的效果。
本研究主要著重於馬達雲系統之雲端伺服系統之架設、資料庫規劃與設計與網頁畫面設計，首先在雲端伺服系統建立穩健之區域網路架構，以及提供整套系統通訊傳輸與資料收發伺服器，以及其他輔助相關軟體之設置，然而再針對資料庫系統進行資料儲存格式之建立與規劃，最後針對呈現網頁之畫面進行規劃與設計，以簡便之操作與設定，提供使用者操作網頁時之便利性。本馬達雲系統係量測馬達電氣及振動訊號，透過嵌入式系統之通訊傳輸傳送至雲端伺服系統上之收發伺服器，進而將量測資料分類儲存至資料庫，並在雲端伺服系統上加入運轉狀態監測系統與故障診斷分析模組，分析馬達目前運轉狀態是否正常，最後將結果透過網頁顯示，以此驗證馬達雲系統之可靠度與準確性。

Nowadays, with the advent of the internet of things, more and more industries want to do the function of the equipment networking, so this study combines the function of the Internet of things and cloud computing,monitoring the motor running state at any time. In the early stage of motor failure, through the cloud analysis of motor fault symptoms. According to the severity of the fault as soon as possible to arrange the corresponding maintenance strategy, to avoid the accident caused by accidents or put too much maintenance costs, to achieve predictive maintenance effect.
This study mainly focuses on the setting up cloud server system, database planning and design of Web page of Motor-Cloud system. First of all, in the cloud server system to establish a robust local network architecture, as well as provide a complete system of communication transmission and data transceiver server, and other ancillary software settings, but also for the database system for data unit format and planning, and finally for the rendering of the screen planning and design, simple operation and settings, to provide users with the convenience of the operation of the Web page.This thesis measured motor electrical and vibration signals, through the communication transmission of the
embedded system to the sending and receiving server on the cloud server system, and then storing the measurement data into the database, and adding the condition monitoring system and the fault diagnosis analysis module in the cloud server system, analyzing whether the motor is running at the normal state. Finally, the results are displayed through the Web page to verify the reliability and accuracy of the Motor-Cloud system.

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