Study of Power Monitoring System Development based on Cloud Computing and Wireless Sensor Network

• Main Authors: Lai, Chia-Wei, 賴佳瑋
• Other Authors: Hung, Min-Hsiung
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/16826598865296714204

碩士 === 中國文化大學 === 機械工程學系數位機電碩士班 === 101 === Aimed to improve the shortcomings of existing power monitoring systems in system construction, power monitoring device, and warning mechanism, this study combines several hot information and communication technologies, such as cloud computing, embedded gateway, ZigBee wireless sensor network, RFID, and intelligent mobile phone, to develop a cloud-computing-based novel wireless power monitoring system, called CC-based WPMS. Differentiating from existing power monitoring systems, the CC-based WPMS includes the following unique designs: (1) a generic power-monitoring cloud service platform which can simultaneously support power monitoring applications for different regions, (2) an embedded communication gateway which can replace the local monitoring and control server so as to save the overall system construction cost, (3) a RFID-integrated power monitoring device which can automatically identify the target to be monitored and set the power threshold in the power monitoring device for the target accordingly, and (4) a Web-Service-based push mechanism which can promptly push the warning messages containing texts and images to the mobile phones of the person in charge. Finally, a CC-based WPMS prototype is constructed, and the associated integrated tests are conducted. Testing results have validated the efficacy of the designs of this study. It is believed that the research results presented in this thesis can be a useful reference for constructing new-generation power monitoring systems.